1 00:00:00,160 --> 00:00:03,120 David, this is Evolutionary Psychology the podcast. 2 00:00:03,520 --> 00:00:07,520 Actual Evolutionary Psychology by Actual Evolutionary Psychologists. 3 00:00:18,640 --> 00:00:24,480 David, today we have uh a guest, Amy Boddy, who is in the anthropology 4 00:00:24,480 --> 00:00:29,200 department at UC Santa Barbara, and she studies microchimerism. 5 00:00:29,950 --> 00:00:30,350 Yes. 6 00:00:30,590 --> 00:00:36,430 And I did not really know what microchimerism chimerism was before 7 00:00:36,430 --> 00:00:37,070 going into this. 8 00:00:37,150 --> 00:00:42,830 And I learned uh during the episode all about it and a bunch of other crazy fascinating 9 00:00:42,830 --> 00:00:48,110 things, like um cancer biology and whether rates of 10 00:00:48,110 --> 00:00:52,590 cancers you know differ across different animals, whether mammals have more of it than 11 00:00:52,590 --> 00:00:58,160 other uh types of animals, um, and even contagious face cancer and the Tasmanian devil. 12 00:00:58,240 --> 00:00:59,120 We talked about that. 13 00:00:59,360 --> 00:01:00,800 Lots of really interesting stuff. 14 00:01:01,120 --> 00:01:06,640 Yeah, and tons of stuff on I didn't realize about like the placenta and moms and 15 00:01:06,640 --> 00:01:12,240 babies, and how um your um you might have the cells of your mom and your 16 00:01:12,240 --> 00:01:15,920 grandmother in you, like just oh yeah, cool crazy stuff. 17 00:01:16,190 --> 00:01:21,550 Yeah, and and maternal offspring conflict that manifests itself in weird ways with genes 18 00:01:21,550 --> 00:01:23,870 expressed from the father's side versus the mother's side. 19 00:01:24,190 --> 00:01:24,990 Super interesting stuff. 20 00:01:25,230 --> 00:01:30,990 Yeah, no, this is this is mind uh uh expanding, uh bending stuff 21 00:01:31,070 --> 00:01:33,630 that um it's so fun to do these things. 22 00:01:33,710 --> 00:01:35,150 Like I'm I'm I'm learning a lot. 23 00:01:35,230 --> 00:01:35,470 Yeah. 24 00:01:35,710 --> 00:01:37,070 Yeah, no, no, no, me too. 25 00:01:37,230 --> 00:01:41,880 This was um just as much of a treat for for Dave and me as it will be for you. 26 00:01:42,120 --> 00:01:44,200 Um so I think you will enjoy this one. 27 00:01:44,440 --> 00:01:49,560 Yeah, without further ado, here's Amy Body and David and I discussing all things um 28 00:01:50,440 --> 00:01:52,680 cancer and microchimeric. 29 00:01:52,760 --> 00:01:54,680 I don't know if that's the right way to end that. 30 00:01:55,160 --> 00:01:57,000 Cancerous and microchimerical. 31 00:01:57,400 --> 00:01:57,960 Yeah. 32 00:01:58,920 --> 00:02:02,680 Yeah, we'll we'll we'll Dave and I will work on this, but in the meantime, enjoy that. 33 00:02:02,760 --> 00:02:04,040 So Yeah, enjoy it. 34 00:02:04,440 --> 00:02:05,960 So we can just go right into it. 35 00:02:06,120 --> 00:02:11,470 Um I I labor under the false uh cartoonish 36 00:02:11,470 --> 00:02:17,310 impression that um I am an organism and I'm pretty much like all 37 00:02:17,310 --> 00:02:20,350 related to my like I am just like an individual thing. 38 00:02:20,590 --> 00:02:25,550 I have this idea that sort of you know when when mothers get pregnant the p the relatedness 39 00:02:25,550 --> 00:02:28,750 between like the placenta and the mom gets kind of confusing. 40 00:02:28,990 --> 00:02:34,880 And I have like intro bio, like I know that like snails, like the expression of 41 00:02:34,880 --> 00:02:39,200 like which direction the snail's shell will twist is like a function of the mom and not the 42 00:02:39,200 --> 00:02:39,440 baby. 43 00:02:39,520 --> 00:02:44,880 So like you can have the extended phenotype of like phenotypic expression downstream. 44 00:02:45,040 --> 00:02:50,640 And of course, all of um uh and I'll shut up in a second, but like all the all the sort of 45 00:02:50,640 --> 00:02:55,360 like methylation or um I can't even think what is the term for when um 46 00:02:56,330 --> 00:02:59,850 yeah, these things that my methylation or like the epigenetics. 47 00:03:00,170 --> 00:03:00,570 Epigenetics. 48 00:03:00,730 --> 00:03:03,690 Yeah, people are like, oh, epigenetics like changes the way we think about natural 49 00:03:03,690 --> 00:03:04,010 selection. 50 00:03:04,090 --> 00:03:07,210 I mean, obviously, if you think about extended phenotypes, they extend across generations. 51 00:03:07,450 --> 00:03:13,370 So anyway, this is all long-winded preface to I still have this, I feel like, and I 52 00:03:13,370 --> 00:03:18,890 don't know, but I feel like you're going to disabuse me of my cartoonish view that I'm 53 00:03:18,890 --> 00:03:24,640 pretty much a uniform uh thing related to myself, and I I I'm not 54 00:03:24,640 --> 00:03:26,800 made up of I don't even know what. 55 00:03:26,960 --> 00:03:31,680 So so so where do we start with like uh or or if there's two questions. 56 00:03:31,840 --> 00:03:33,760 One is like, what do you do? 57 00:03:34,080 --> 00:03:37,760 Because I also feel like like when we talk to like outside people, like we're 58 00:03:37,840 --> 00:03:40,240 psychologists, people like, oh, are you analyzing me, you know? 59 00:03:40,400 --> 00:03:44,480 But I think what you do, I don't even understand exactly what you do. 60 00:03:44,640 --> 00:03:49,810 So I think you have a very particular interesting thing where most people don't even 61 00:03:49,810 --> 00:03:50,770 understand what you do. 62 00:03:50,930 --> 00:03:56,770 So either can you talk about what you do or am I completely wrong about how I 63 00:03:56,770 --> 00:03:59,250 think about the unity of myself? 64 00:04:00,450 --> 00:04:01,730 Great questions. 65 00:04:01,970 --> 00:04:07,410 Um I don't know I don't even know if what I know what I do, but I'll try and explain it. 66 00:04:07,650 --> 00:04:08,770 But that's a great answer. 67 00:04:08,850 --> 00:04:09,810 Yeah, me neither. 68 00:04:10,200 --> 00:04:15,800 I've been in every department from like uh the school of medicine to psychology to to 69 00:04:15,800 --> 00:04:16,840 anthropology. 70 00:04:17,000 --> 00:04:23,000 So yeah, I am um bouncing around interdisciplinarily. 71 00:04:23,160 --> 00:04:28,920 Um, but I mostly study um pregnancy and I study 72 00:04:28,920 --> 00:04:33,240 cells that cross between mother and the baby called microchimerism. 73 00:04:33,560 --> 00:04:39,230 Um and I also st study cancer biology and so sorry, cross 74 00:04:39,230 --> 00:04:40,990 between mother and the baby. 75 00:04:41,230 --> 00:04:42,990 Could you walk me through how that works? 76 00:04:43,870 --> 00:04:46,270 So I do not actually know anything about microcamerism. 77 00:04:46,510 --> 00:04:47,870 I'm very excited to learn about it. 78 00:04:48,270 --> 00:04:53,310 So what does that mean for a cell to pass between uh the mother and the offspring? 79 00:04:53,870 --> 00:04:54,270 Yes. 80 00:04:54,510 --> 00:04:59,870 Um so during pregnancy, um the and Dave, you started with the 81 00:04:59,870 --> 00:05:01,790 placenta and the blurred boundaries. 82 00:05:01,870 --> 00:05:04,270 So the placenta is actually a fetal organ. 83 00:05:04,590 --> 00:05:08,180 It's mostly derived by by fetal tissue. 84 00:05:08,900 --> 00:05:11,700 And it invades the maternal endometrium. 85 00:05:11,780 --> 00:05:16,820 And it and across species, across mammals, this 86 00:05:17,140 --> 00:05:20,500 integration of the tissues is super diverse. 87 00:05:20,660 --> 00:05:21,460 It's so cool. 88 00:05:21,620 --> 00:05:24,100 It's like the site of evolutionary conflict. 89 00:05:24,260 --> 00:05:27,540 So the placenta is one of the most diverse mammalian organs. 90 00:05:27,620 --> 00:05:33,510 And it's, of course these two genetic entities that are uh fighting for survival of both of 91 00:05:33,510 --> 00:05:35,590 each other, but one wants more than the other. 92 00:05:35,670 --> 00:05:37,030 And so it's like a super diverse. 93 00:05:39,510 --> 00:05:41,750 Yeah, we actually haven't talked about parent off-burn conflict. 94 00:05:41,830 --> 00:05:45,590 So some of our basic evo bio we haven't covered on the podcast. 95 00:05:45,910 --> 00:05:46,310 Yes, yes. 96 00:05:47,270 --> 00:05:53,100 So so ideally in in many of these scenarios, you can see it driven Paternal genes 97 00:05:53,100 --> 00:05:54,780 would like more resources. 98 00:05:54,940 --> 00:06:00,620 Um, and maternal genes, it's in their best interests to save resources not to 99 00:06:00,620 --> 00:06:06,300 bleed fully because they want to save resources for offspring in the future, 100 00:06:06,460 --> 00:06:06,780 right? 101 00:06:07,100 --> 00:06:11,100 Classic, putting it all on the 102 00:06:12,860 --> 00:06:14,300 yes, yes, exactly. 103 00:06:14,620 --> 00:06:19,420 So you see this like tug of or um, and you can see it playing out at the genome level with 104 00:06:19,450 --> 00:06:21,290 um genomic imprinting. 105 00:06:21,610 --> 00:06:27,530 So genes that are specifically turned on just in the paternal lineage versus genes 106 00:06:27,530 --> 00:06:30,250 that are just turned on in the maternal lineage. 107 00:06:31,770 --> 00:06:37,690 And so right there at the site of you know resource transfer is the placenta, it's 108 00:06:37,690 --> 00:06:39,770 transferring resources to the offspring. 109 00:06:39,930 --> 00:06:41,610 It's communicating with the mother. 110 00:06:41,770 --> 00:06:42,570 It's doing all this. 111 00:06:42,650 --> 00:06:48,320 And so across mammals it's quite diverse in its its shape, its size, how it diffuses, 112 00:06:48,560 --> 00:06:50,560 how it integrates into tissue. 113 00:06:50,800 --> 00:06:54,400 And so humans have one of the most invasive placentas. 114 00:06:54,880 --> 00:07:00,640 And so our placentas actually the specialized fetal 115 00:07:00,640 --> 00:07:06,400 cells like invade the the tissue so much that it widens the maternal 116 00:07:06,470 --> 00:07:12,390 spiral arteries that kind of embed the endometrium and completely remodels it, has 117 00:07:12,550 --> 00:07:15,110 direct access, taps the resource. 118 00:07:15,350 --> 00:07:20,550 I think the baby, and when we think about invasive placentas, the paternal genes won, like 119 00:07:20,630 --> 00:07:26,630 it got the upper hand in that scenario, actually, because um, because then once there's 120 00:07:26,630 --> 00:07:31,430 direct access to resources and it's hooked on, when suddenly there could be lack of 121 00:07:31,430 --> 00:07:36,310 resources, what the baby does is ramp up maternal blood pressure. 122 00:07:36,880 --> 00:07:40,320 And so we see this with pregnancy complications and stuff like that. 123 00:07:40,560 --> 00:07:46,560 So when we're thinking about, you know, cooperation conflict, yeah, um, humans are unique 124 00:07:46,560 --> 00:07:52,480 in that, but yeah, our placenta might have um evolved to be quite invasive in that of 125 00:07:52,480 --> 00:07:58,320 course was adaptive, but um the the the downside to that is 126 00:07:58,320 --> 00:08:01,440 it's costly on the maternal body. 127 00:08:02,090 --> 00:08:02,330 Wow. 128 00:08:02,490 --> 00:08:05,130 Yet another thing women can blame men for. 129 00:08:05,530 --> 00:08:06,890 Yes, exactly. 130 00:08:07,370 --> 00:08:12,410 Is is the is the idea that men won in the sense of still that's like still naturally 131 00:08:12,410 --> 00:08:17,850 selected, like in the sense of if there's differential reproductive success out in the 132 00:08:17,850 --> 00:08:23,690 world among variants of this like sort of offspring production system, is it 133 00:08:23,690 --> 00:08:29,340 that the uh the babies that are extracting more are 134 00:08:29,340 --> 00:08:30,140 doing better. 135 00:08:30,220 --> 00:08:32,940 And that's sort of the um the the check. 136 00:08:33,420 --> 00:08:36,860 I mean, because obviously like you can't kill the mom, like right, like yeah. 137 00:08:37,340 --> 00:08:43,020 Well, it's it's it's so complicated because if you have we know birth weight matters, 138 00:08:43,100 --> 00:08:43,260 right? 139 00:08:43,420 --> 00:08:44,220 Birth weight matters. 140 00:08:44,380 --> 00:08:47,500 A bigger baby um is gonna survive better. 141 00:08:47,670 --> 00:08:48,550 It has more fat. 142 00:08:48,710 --> 00:08:50,310 It's got more resources, right? 143 00:08:50,470 --> 00:08:52,710 We see this all the time that it matters. 144 00:08:52,870 --> 00:08:58,870 But on the other extreme, a bigger baby means more potentially obstructed labor and birth 145 00:08:58,870 --> 00:08:59,590 complications. 146 00:08:59,750 --> 00:09:05,670 So there is this, you know, um really stabilizing selection on 147 00:09:05,670 --> 00:09:06,790 birth weight. 148 00:09:07,270 --> 00:09:10,800 And it's on average like seven pounds. 149 00:09:10,880 --> 00:09:12,080 And I think it's so cool. 150 00:09:12,160 --> 00:09:16,240 Like there's just not a lot of wiggle room that you have. 151 00:09:16,640 --> 00:09:21,360 And it might be um yeah, pun intended. 152 00:09:21,760 --> 00:09:27,520 Um the um yeah, and it might have to, you know, our birth is the timing of 153 00:09:27,520 --> 00:09:33,280 birth is just interesting too, because as mammals, um, comparatively you are 154 00:09:33,600 --> 00:09:39,530 termed like at full term at 37 weeks, but you can go up to 155 00:09:39,530 --> 00:09:40,330 42 weeks. 156 00:09:40,490 --> 00:09:46,010 And I think that is mind blowing that like we have basically this five, 157 00:09:46,170 --> 00:09:51,130 six-week window where like baby could come anytime, and we don't know. 158 00:09:51,210 --> 00:09:56,570 And we actually, from a biological medical standpoint, don't really know what triggers 159 00:09:56,570 --> 00:09:57,050 labor. 160 00:09:57,210 --> 00:10:00,680 We know there's like a cascade of things, but we can't predict it. 161 00:10:00,840 --> 00:10:01,000 Yeah. 162 00:10:01,160 --> 00:10:02,920 We don't know it when it's coming. 163 00:10:03,000 --> 00:10:08,200 And it's I think, yeah, all of this negotiation between the mother and the baby actually. 164 00:10:08,680 --> 00:10:09,320 That's really cool. 165 00:10:09,400 --> 00:10:09,640 Yeah. 166 00:10:09,720 --> 00:10:15,320 You would expect there's tremendous selection pressures on the determine pregnancy or a but 167 00:10:15,320 --> 00:10:17,880 determine birth like activate birth program. 168 00:10:18,280 --> 00:10:18,680 Yes. 169 00:10:18,840 --> 00:10:20,600 Uh that's really interesting. 170 00:10:20,760 --> 00:10:21,240 Yeah. 171 00:10:21,560 --> 00:10:22,040 Yeah. 172 00:10:22,280 --> 00:10:22,600 Yeah. 173 00:10:22,840 --> 00:10:28,750 Um if we could if we could get uh into um the logic of of the 174 00:10:28,750 --> 00:10:32,590 conflict here, because it's not it's not parent offspring conflict. 175 00:10:32,670 --> 00:10:37,630 So that's when, you know, parents are uh you know equally related to all their children, 176 00:10:37,790 --> 00:10:42,110 but uh siblings are twice as related to themselves as they are to their siblings and to 177 00:10:42,110 --> 00:10:42,830 future siblings. 178 00:10:42,910 --> 00:10:46,430 And so that creates conflict where the siblings or where the children are going to want 179 00:10:46,430 --> 00:10:50,270 more resources or twice as much for themselves as for their siblings, whereas parents are 180 00:10:50,270 --> 00:10:52,830 gonna want to distribute resources and investments equally. 181 00:10:52,990 --> 00:10:56,000 And that's the fundamental conflict that that Robert Trivers talks about. 182 00:10:56,400 --> 00:10:57,680 Fascinating idea. 183 00:10:58,000 --> 00:10:59,200 But this is not that. 184 00:10:59,360 --> 00:11:02,480 This is uh paternal and maternal conflict. 185 00:11:02,640 --> 00:11:07,600 And I want to see f see if I can um walk through the logic of how this works. 186 00:11:08,000 --> 00:11:11,040 Because I I'm I'm I confess I don't I don't quite fully understand it. 187 00:11:11,120 --> 00:11:17,010 So is it is it the idea that um men have or the males 188 00:11:17,010 --> 00:11:22,930 have a greater um ability to invest in say other 189 00:11:23,650 --> 00:11:28,450 uh reproductive opportunities, and that's why they want more investment from the mom. 190 00:11:28,770 --> 00:11:34,610 That that uh if uh uh like so so why why is it in the male's interest to 191 00:11:34,770 --> 00:11:40,050 for the mom to put more resources into the offspring than than would be otherwise 192 00:11:40,050 --> 00:11:43,170 beneficial to her or helpful or healthy for her? 193 00:11:43,780 --> 00:11:46,900 It actually builds on parent offspring conflict. 194 00:11:46,980 --> 00:11:50,900 And I believe David Haig coined the term it's maternal fetal conflict at this point. 195 00:11:51,140 --> 00:11:56,420 Ah, okay but it is, you know, again the under the same principles that the fetus shares 196 00:11:56,420 --> 00:12:02,420 half the maternal genes, but then the other half are paternal genes or from the 197 00:12:02,420 --> 00:12:04,260 paternal point of view. 198 00:12:04,580 --> 00:12:10,500 And it's those that are driving the conflict uh you know, as in, you know, 199 00:12:11,070 --> 00:12:16,750 the um the paternal genes the best interest is to invest in that pregnancy 200 00:12:16,910 --> 00:12:22,830 and to get that baby the most resources as possible while the mother is 201 00:12:22,830 --> 00:12:27,950 only half you know related obviously important for survival of the baby um 202 00:12:28,510 --> 00:12:34,510 although she will have more babies right and so the idea is that you're going to invest 203 00:12:34,750 --> 00:12:40,560 as much as you should not as much as you can in this baby. 204 00:12:41,360 --> 00:12:45,520 And but yeah, and just to be clear, like that's that's really helpful. 205 00:12:45,760 --> 00:12:49,840 What is the logic though behind the the dad? 206 00:12:50,320 --> 00:12:51,840 Like let's, you know, I'm the dad. 207 00:12:52,000 --> 00:12:52,160 Right. 208 00:12:52,400 --> 00:12:57,440 Why why do I want the baby to invest more for this particular pregnancy? 209 00:12:57,600 --> 00:13:02,320 Why do I want why do my genes want to invest extract more from the mom than the mom wants 210 00:13:02,320 --> 00:13:03,200 to extract? 211 00:13:03,440 --> 00:13:09,050 Is it because actuarially I might be mating with somebody else in the future? 212 00:13:09,290 --> 00:13:11,050 She might be mating with somebody else in the future. 213 00:13:11,370 --> 00:13:17,050 Like is that the okay yes, that's that's the idea, but I think it goes back farther than 214 00:13:17,050 --> 00:13:17,610 humans. 215 00:13:18,410 --> 00:13:24,330 Um in terms of looking at genomic imprinting um that arose with 216 00:13:24,330 --> 00:13:26,410 the evolution of the placenta. 217 00:13:26,890 --> 00:13:32,410 Um only placental mammals have imprinting, where the again there's like 218 00:13:32,780 --> 00:13:35,740 this allelic expression that really depends. 219 00:13:35,820 --> 00:13:38,300 There's about 120 imprinted genes. 220 00:13:38,460 --> 00:13:44,060 Um and some are paternally imprinted um and some are maternally imprinted. 221 00:13:44,140 --> 00:13:49,100 So that means some are just expressed from the paternal genome and it matters. 222 00:13:49,180 --> 00:13:54,860 They have different uh physiology they have different impacts on 223 00:13:55,180 --> 00:13:57,980 on the the development of the baby. 224 00:13:58,950 --> 00:14:04,070 And there's, and we learn this from there's various diseases where if you delete the 225 00:14:04,070 --> 00:14:09,830 maternal allele versus the paternal allele, those are two different phenotypes that arise 226 00:14:10,070 --> 00:14:11,190 in the baby. 227 00:14:11,830 --> 00:14:15,350 So it's it's super interesting when you think about it from that. 228 00:14:15,430 --> 00:14:21,350 And so, but that arose really, really early in our evolutionary story in terms 229 00:14:21,350 --> 00:14:25,040 of um maybe a hundred million years ago with the evolution of the placenta. 230 00:14:25,680 --> 00:14:25,920 Wow. 231 00:14:26,000 --> 00:14:29,440 And even, I mean, the other thing I'm sure this is, I'm sure you've thought of this. 232 00:14:29,520 --> 00:14:30,560 I'm just saying it out loud. 233 00:14:30,640 --> 00:14:30,960 Yes. 234 00:14:31,120 --> 00:14:37,120 Is that um there's also just the cold calculation of the mother faces 235 00:14:37,120 --> 00:14:37,360 this. 236 00:14:37,520 --> 00:14:42,000 Well, if I do invest to a certain level, there's the chance that I might die. 237 00:14:42,240 --> 00:14:42,560 Yes. 238 00:14:42,720 --> 00:14:45,970 And the the the dad just doesn't have that calculation, right? 239 00:14:46,130 --> 00:14:50,530 So there's also just this cold calculation of you just you just snip out even even assuming 240 00:14:50,530 --> 00:14:56,290 a monogamous species, there's still just the the the trade-off, the cost benefit of 241 00:14:56,450 --> 00:14:59,730 well, if I invest more in the offspring, there's a chance that the mother might die. 242 00:14:59,890 --> 00:15:05,140 And if you're the mother, you land on a different trade-off point than if you're not the 243 00:15:05,140 --> 00:15:10,260 mother is simply because, you know, like, yeah, the mom might die, but like my offspring 244 00:15:10,260 --> 00:15:11,620 might be better off, and it's not me. 245 00:15:11,700 --> 00:15:15,460 So like it's you know, obviously it's not explicit, but it's just cold calculus. 246 00:15:15,620 --> 00:15:19,860 So I think even I would I would think, at least off the top of my head, it seems like even 247 00:15:19,860 --> 00:15:25,620 that, just because you're not the body risking death or you're not the one investing, 248 00:15:25,700 --> 00:15:28,180 there's still a conflict between those two. 249 00:15:28,340 --> 00:15:29,780 You don't land on the same threshold. 250 00:15:29,860 --> 00:15:30,180 Yeah. 251 00:15:30,500 --> 00:15:31,140 Yes. 252 00:15:31,490 --> 00:15:36,690 But yeah, I think it it's more of a historical legacy evolutionarily because obviously 253 00:15:36,770 --> 00:15:42,770 within humans, we um if there's a tons of data to show if if if mother 254 00:15:42,770 --> 00:15:45,010 dies, baby does not have a good chance of surviving. 255 00:15:45,250 --> 00:15:45,650 Oh, that's true. 256 00:15:46,530 --> 00:15:46,690 Yeah. 257 00:15:47,250 --> 00:15:53,250 Um so I think a historical legacy I see um that 258 00:15:53,250 --> 00:15:56,560 we have, you know It's why we get sick. 259 00:15:56,880 --> 00:16:02,000 Perhaps from an ancestral form in in which maternal uh mortality wouldn't have been such a 260 00:16:02,000 --> 00:16:04,160 death sentence for the kid, perhaps an ancestral form. 261 00:16:04,560 --> 00:16:07,600 Or more polyga more polygamy or something. 262 00:16:08,000 --> 00:16:08,480 Oh, interesting. 263 00:16:08,560 --> 00:16:10,560 Yeah, because we're we're hyper adaptationists. 264 00:16:10,640 --> 00:16:12,560 We're like, it must be designed perfectly. 265 00:16:13,520 --> 00:16:15,360 That's why is this, yeah. 266 00:16:15,520 --> 00:16:16,080 Oh yeah. 267 00:16:16,560 --> 00:16:16,880 Yes. 268 00:16:17,170 --> 00:16:17,330 Yes. 269 00:16:17,570 --> 00:16:23,570 Where I actually don't see the I I s I I don't I see us as like a messy bag of conflict 270 00:16:23,570 --> 00:16:25,890 that somehow is still able to reproduce. 271 00:16:26,130 --> 00:16:26,370 Yeah. 272 00:16:26,690 --> 00:16:31,330 Like we're just like there's all these internal conflicts and and there's adaptive 273 00:16:31,330 --> 00:16:34,050 compromises and then it just like yeah. 274 00:16:34,210 --> 00:16:34,530 Yes. 275 00:16:34,930 --> 00:16:39,330 Ever ever since my child was born, I just like to just slightly editorialize for a second. 276 00:16:39,410 --> 00:16:43,380 Like people often celebrate like soldiers and things, and I'm like, you know, it's 277 00:16:43,380 --> 00:16:43,860 violence. 278 00:16:44,020 --> 00:16:48,020 Like, if you want heroes, if you want to see a hero go to a maternity ward. 279 00:16:48,260 --> 00:16:48,500 Yes. 280 00:16:48,740 --> 00:16:52,100 Like there are heroes, real heroes in the world every day. 281 00:16:52,260 --> 00:16:53,860 Uh they're in a maternity ward. 282 00:16:53,940 --> 00:16:55,540 It's incre I mean, it's crazy. 283 00:16:55,700 --> 00:16:55,940 Yes. 284 00:16:56,260 --> 00:16:58,100 Yes, yes, absolutely. 285 00:16:58,500 --> 00:16:59,940 Um anyway. 286 00:17:00,580 --> 00:17:05,780 So yeah, uh, that all to say that there's cells that then get transferred 287 00:17:06,070 --> 00:17:09,830 between our like deeply invasive placenta, right? 288 00:17:10,150 --> 00:17:15,910 There's fetal cells that get transferred into the mother's body, and there's maternal cells 289 00:17:15,910 --> 00:17:18,550 that get transferred into the baby's body. 290 00:17:18,790 --> 00:17:24,390 Um, and we used to think this was a spillover effect because we have a deeply invasive 291 00:17:24,390 --> 00:17:25,190 placenta. 292 00:17:25,350 --> 00:17:31,030 Um, but then it was observed in species that don't necessarily have as a deeply 293 00:17:31,030 --> 00:17:36,780 invasive placenta that have that like road, um, that that highway that um 294 00:17:36,780 --> 00:17:38,380 our placentas have. 295 00:17:38,540 --> 00:17:43,820 Um and also these cells persist decades 296 00:17:44,460 --> 00:17:48,140 after the pregnancy, and they're doing things. 297 00:17:48,380 --> 00:17:53,820 So um we think that potentially there is an adaptation there, and they're 298 00:17:53,980 --> 00:17:59,750 they're actually um selected for to help with the pregnancy, but also 299 00:17:59,750 --> 00:18:02,390 help with that organism afterwards. 300 00:18:03,350 --> 00:18:09,190 And that actually sometimes that can still lead 301 00:18:09,190 --> 00:18:10,070 to conflict. 302 00:18:10,230 --> 00:18:12,710 So that can still lead to problems. 303 00:18:13,110 --> 00:18:19,110 So another way to put it, if I understand right, is that the mechanisms in 304 00:18:19,110 --> 00:18:24,920 the mother have a have a biochemical sample of the 305 00:18:25,000 --> 00:18:30,760 at least the genetics, if not other substances of her offspring inside 306 00:18:30,760 --> 00:18:31,320 of her. 307 00:18:31,640 --> 00:18:32,120 Yes. 308 00:18:32,360 --> 00:18:32,840 Yeah. 309 00:18:33,160 --> 00:18:33,800 Yes. 310 00:18:34,680 --> 00:18:39,560 Um, and we we think they last last a lifetime and they have like 311 00:18:40,040 --> 00:18:41,720 biological impacts. 312 00:18:41,880 --> 00:18:45,880 And if you think about it again, thinking from like this, I think about it from a maternal 313 00:18:46,200 --> 00:18:48,840 fetal conflict perspective. 314 00:18:49,810 --> 00:18:54,770 it's the baby's insurance policy that the mom will take care of it after 315 00:18:55,410 --> 00:18:56,290 birth, right? 316 00:18:56,450 --> 00:19:00,290 It's it's been like a really costly negotiation for nine months. 317 00:19:00,530 --> 00:19:06,130 Um, and now there's cells inside the mother that could maybe potentially 318 00:19:06,130 --> 00:19:08,930 help the mother care for the baby even more. 319 00:19:09,090 --> 00:19:14,370 So maybe they're involved in lactation biology, attachment, like all of these things, 320 00:19:14,530 --> 00:19:20,480 helping the mother heal after the pregnancy as well, um, in order to 321 00:19:20,480 --> 00:19:23,440 make sure they have the best shot at survival. 322 00:19:23,840 --> 00:19:26,320 So is it it that's really interesting? 323 00:19:26,480 --> 00:19:32,160 Is it because the baby is new and has new genetics and has 324 00:19:32,160 --> 00:19:33,120 new stuff? 325 00:19:33,360 --> 00:19:38,960 Is it sort of like a it's like a booster rocket of this is a brand new genotype? 326 00:19:39,040 --> 00:19:43,360 This is brand like you know, everybody has this model of like babies are fresh, and it's 327 00:19:43,360 --> 00:19:46,720 obviously like there's there's so much here, like the pathogen coevolution and stuff. 328 00:19:47,120 --> 00:19:51,170 So the idea is that baby cells are special, fresh. 329 00:19:51,410 --> 00:19:52,610 This is the metaphor. 330 00:19:52,770 --> 00:19:55,250 And they're coming in and like hyper helping the mom. 331 00:19:55,330 --> 00:20:01,090 Is that is that I mean, I realize it's like a I'm it's a metaphor, but is that Yes. 332 00:20:01,170 --> 00:20:02,130 I that's the idea. 333 00:20:02,290 --> 00:20:03,330 So we don't know, right? 334 00:20:03,490 --> 00:20:07,490 This is like um it's it's a newish field. 335 00:20:07,570 --> 00:20:10,450 I don't want to say completely not new because we knew about this forever. 336 00:20:10,530 --> 00:20:14,930 It was just really hard to study because they're rare cells that are half identical to the 337 00:20:14,930 --> 00:20:15,330 host. 338 00:20:15,570 --> 00:20:21,160 So we didn't have a lot of genetic tools in our toolkit to actually study this. 339 00:20:21,320 --> 00:20:24,280 Actually, what they used to do is look for the Y chromosome. 340 00:20:24,360 --> 00:20:26,600 So it was women who had given birth to a son. 341 00:20:26,760 --> 00:20:32,040 And they just like draw their blood and look for Y chromosome and say, oh, these cells are 342 00:20:32,040 --> 00:20:32,760 still here. 343 00:20:33,000 --> 00:20:37,000 But then they started doing it for a bunch of women that had never given birth to a son and 344 00:20:37,000 --> 00:20:39,320 still found Y chromosome in their blood. 345 00:20:40,280 --> 00:20:43,870 And then it was like, where are those coming from? 346 00:20:44,110 --> 00:20:49,790 And so then they had a bunch of just female lab tax doick that thought it was contamination 347 00:20:49,870 --> 00:20:51,630 and still found the same. 348 00:20:51,870 --> 00:20:57,470 Um, and what we've realized since then is these cells come over quite early in pregnancy 349 00:20:57,470 --> 00:20:59,390 before you even know you're pregnant. 350 00:21:00,190 --> 00:21:06,160 And so you could have been had a really early spontaneous miscarriage, never knew about 351 00:21:06,160 --> 00:21:08,960 it and had cells seeded into your body. 352 00:21:09,200 --> 00:21:09,440 Wow. 353 00:21:09,680 --> 00:21:10,560 Um wow. 354 00:21:11,120 --> 00:21:17,120 We also learned that obviously you can have that effect if it's twinning 355 00:21:17,120 --> 00:21:20,080 in utero, and then the twin doesn't. 356 00:21:20,400 --> 00:21:20,720 Right. 357 00:21:21,280 --> 00:21:26,640 But there's this really nice study looking at um um these 358 00:21:26,960 --> 00:21:32,470 girl Danish girls and showing that they it was before they went through 359 00:21:32,470 --> 00:21:33,270 menarchy. 360 00:21:33,350 --> 00:21:38,230 So before they had an opportunity or chance to be pregnant, and they still found Y 361 00:21:38,390 --> 00:21:40,710 chromosome in in their blood. 362 00:21:40,790 --> 00:21:46,150 And what they've found suggested was maybe it was from their older brothers. 363 00:21:47,670 --> 00:21:51,830 So our cells are going into our mother. 364 00:21:52,070 --> 00:21:52,710 Oh wow. 365 00:21:52,950 --> 00:21:53,270 Right? 366 00:21:53,510 --> 00:21:54,150 Yeah. 367 00:21:54,790 --> 00:21:59,110 And so the older sibs could actually be seated with. 368 00:22:00,740 --> 00:22:01,140 yes. 369 00:22:01,380 --> 00:22:01,940 Wow. 370 00:22:02,340 --> 00:22:07,780 So there's the the the tr the family tree gets very 371 00:22:08,980 --> 00:22:11,780 the very big, yeah, very big after that. 372 00:22:11,940 --> 00:22:12,740 So Yeah. 373 00:22:12,980 --> 00:22:16,260 And and have we gotten to microchimerism yet? 374 00:22:16,340 --> 00:22:17,620 Or are we still walking to that? 375 00:22:17,700 --> 00:22:20,900 Because I don't know, I don't know exactly what the definition No no, don't apologize. 376 00:22:20,980 --> 00:22:26,740 I'm just yeah, I'm curious like what is that are those Y chromosomes in the female's body? 377 00:22:27,060 --> 00:22:29,220 Is that an example of microchimerism? 378 00:22:29,630 --> 00:22:30,510 It is, yes. 379 00:22:30,670 --> 00:22:30,830 Okay. 380 00:22:31,310 --> 00:22:31,870 Yes. 381 00:22:32,030 --> 00:22:36,590 Um, we're still working on the definition definition of it because some people would argue 382 00:22:36,750 --> 00:22:40,830 just because you can detect a gene doesn't mean it's a cell. 383 00:22:41,070 --> 00:22:46,030 It could just again be a byproduct of a cell, where is it coming from? 384 00:22:46,350 --> 00:22:50,030 Is is microchimerism does it have to be an attack cell? 385 00:22:50,190 --> 00:22:51,550 Does it have to persist? 386 00:22:51,710 --> 00:22:57,580 Does it have to do things where we're actually struggling, not struggling, but debating 387 00:22:57,580 --> 00:23:00,140 as a community what the actual definition is. 388 00:23:00,220 --> 00:23:06,060 But yeah, what we're getting to is microchimerism is a small amount, small 389 00:23:06,060 --> 00:23:11,660 micro of chimeric that's different, different genome within you. 390 00:23:12,140 --> 00:23:16,940 And we are all microchimeric because we're all mammals. 391 00:23:17,430 --> 00:23:22,870 And in the genes, I mean, you know, uh I mean you and we talked about how Jurassic Park is 392 00:23:22,870 --> 00:23:23,670 one of our favorite movies. 393 00:23:23,830 --> 00:23:23,990 Yes. 394 00:23:24,230 --> 00:23:29,190 Um obviously everybody knows that like genes code for proteins that builds the animals or 395 00:23:29,190 --> 00:23:31,190 organisms, din dinosaurs, for example. 396 00:23:31,350 --> 00:23:37,190 Um, but um but why is that significant that the genes are there? 397 00:23:37,840 --> 00:23:40,480 like because you could just imagine, well, yeah, the genes are there. 398 00:23:40,640 --> 00:23:44,880 Like the null hypothesis is sort of like, well, yeah, there's like leakage of cells. 399 00:23:45,040 --> 00:23:45,600 Who cares? 400 00:23:45,920 --> 00:23:46,160 Right. 401 00:23:46,320 --> 00:23:47,280 Like it's yeah. 402 00:23:48,240 --> 00:23:49,440 So yes. 403 00:23:49,600 --> 00:23:53,360 Uh I think it's really, yeah, it's important for a few different reasons. 404 00:23:53,520 --> 00:23:58,480 One, um, the genes are there and the immune system is not getting rid of them. 405 00:23:58,790 --> 00:23:59,270 Why? 406 00:23:59,590 --> 00:23:59,830 Right. 407 00:23:59,990 --> 00:24:02,470 Oh, because we've learned self, non-self. 408 00:24:02,710 --> 00:24:04,950 You like that's immunology 101. 409 00:24:05,030 --> 00:24:09,910 Anything that that's why we can't have these large-scale organ transplants that from 410 00:24:09,910 --> 00:24:10,870 anyone, right? 411 00:24:11,270 --> 00:24:15,270 Um, even if it's from a sibling, you still have issues, right? 412 00:24:15,350 --> 00:24:16,790 You have to have immunosuppression. 413 00:24:16,870 --> 00:24:20,070 So why is the immune system fine with this? 414 00:24:20,310 --> 00:24:25,860 Um and then the other thing is um we're realizing sometimes the immune system is not 415 00:24:25,860 --> 00:24:26,900 fine with this. 416 00:24:27,780 --> 00:24:32,900 So women, excuse me, are at a higher risk of developing autoimmune 417 00:24:32,900 --> 00:24:33,940 diseases. 418 00:24:35,220 --> 00:24:41,140 And some of the idea is that it could be these paternal genes 419 00:24:41,300 --> 00:24:46,900 expressed through these baby cells that are triggering an immune response. 420 00:24:48,050 --> 00:24:48,690 Wow. 421 00:24:49,810 --> 00:24:50,610 That's fascinating. 422 00:24:50,770 --> 00:24:56,530 I mean, so that that would predict a higher prevalence of autoimmune 423 00:24:56,530 --> 00:25:00,770 diseases among women who have uh microchimerism. 424 00:25:00,850 --> 00:25:03,090 So have, say, Y chromosomes that can be detected. 425 00:25:03,330 --> 00:25:03,490 Yes. 426 00:25:03,650 --> 00:25:06,370 Um is that, I mean, uh has that prediction been tested? 427 00:25:07,410 --> 00:25:09,570 It's been looked at uh often. 428 00:25:09,730 --> 00:25:15,570 And so I can I can say autoimmune diseases are complex and there's many pathways to them, 429 00:25:15,800 --> 00:25:16,040 right? 430 00:25:16,120 --> 00:25:18,840 And so you could just have a genetic predisposition. 431 00:25:18,920 --> 00:25:24,360 We know individuals that develop autoimmune diseases in their early ages before pregnancy. 432 00:25:24,440 --> 00:25:26,520 There's men that develop autoimmune diseases. 433 00:25:26,600 --> 00:25:30,920 Like this is this is not the answer to autoimmune diseases. 434 00:25:31,080 --> 00:25:36,600 But along with the genetic predisposition, there are a few papers showing 435 00:25:36,920 --> 00:25:41,730 that yes, but it matters on your genetic makeup. 436 00:25:41,890 --> 00:25:47,890 One, you I'm gonna simplify it as you have to be predisposed to the autoimmune disease, 437 00:25:48,130 --> 00:25:48,450 right? 438 00:25:48,850 --> 00:25:54,370 And then you have to be exposed to a certain paternal allele. 439 00:25:54,530 --> 00:25:58,770 Not all per paternal alleles, but certain ones can trigger that reaction. 440 00:25:58,930 --> 00:26:03,410 So it's like the perfect match to create the autoimmune disease. 441 00:26:04,380 --> 00:26:10,060 And so, yes, I think there's pretty good data to show that in those scenarios it can 442 00:26:10,060 --> 00:26:12,060 trigger the reaction. 443 00:26:14,540 --> 00:26:15,980 Fascinating stuff. 444 00:26:16,220 --> 00:26:21,020 Um so we've gotten to maternal fetal conflict, we've gotten to 445 00:26:21,020 --> 00:26:22,780 microchimerism. 446 00:26:23,020 --> 00:26:23,420 Yes. 447 00:26:23,660 --> 00:26:28,790 Um there's still another area of your research that I'm very curious about, which is uh 448 00:26:28,950 --> 00:26:31,510 cancer and the evolution of cancer. 449 00:26:32,310 --> 00:26:37,430 Um from an evolutionary perspective, it makes a lot of sense to me why we we would be 450 00:26:37,430 --> 00:26:41,270 vulnerable to pathogens like bacteria and viruses. 451 00:26:41,590 --> 00:26:45,900 Um, because the bacteria and viruses, they win in some sense. 452 00:26:46,060 --> 00:26:48,700 Like they're evolving to invade us and exploit us. 453 00:26:48,860 --> 00:26:51,420 Um, whereas with their tool, we're their food. 454 00:26:51,500 --> 00:26:51,660 Yeah. 455 00:26:52,060 --> 00:26:52,780 They want to eat us. 456 00:26:53,340 --> 00:26:54,940 They want to eat us and have babies. 457 00:26:55,020 --> 00:26:55,820 That's their goal. 458 00:26:56,380 --> 00:26:56,780 Totally. 459 00:26:56,940 --> 00:26:58,620 Uh yeah, and we're just at odds. 460 00:26:58,780 --> 00:27:01,180 Um so that I can wrap my head around. 461 00:27:01,340 --> 00:27:05,580 But cancer is a little more mysterious and hard for me to have my wrap my head around 462 00:27:05,660 --> 00:27:08,140 because those are my cells and they're hurting me. 463 00:27:08,300 --> 00:27:09,660 What are they why are they doing that? 464 00:27:09,820 --> 00:27:12,700 And how why hasn't evolution gotten rid of that? 465 00:27:14,150 --> 00:27:15,510 I love this question. 466 00:27:15,750 --> 00:27:17,030 Um okay. 467 00:27:17,430 --> 00:27:20,390 Um we we have a few answers for you. 468 00:27:20,550 --> 00:27:25,750 Um one is we cells had to suppress their 469 00:27:26,070 --> 00:27:29,910 own interest to become a multicellular body, right? 470 00:27:30,230 --> 00:27:34,150 We used to be single-celled organisms that could just multiply. 471 00:27:34,480 --> 00:27:38,480 We started having to cooperate once we became a multicellular body. 472 00:27:38,560 --> 00:27:44,560 And you suppress your cellular fitness for the multicellular fitness, right? 473 00:27:44,960 --> 00:27:46,080 That's crazy. 474 00:27:46,400 --> 00:27:47,040 It's so cool. 475 00:27:47,120 --> 00:27:47,680 It's such a weird. 476 00:27:48,000 --> 00:27:52,800 I mean, it makes total sense when you say it out loud, but it's such a I mean, as a macro, 477 00:27:53,600 --> 00:27:59,490 a macro, a micro, a multicellular organism myself, I find it it's it's counter to my 478 00:27:59,490 --> 00:28:00,370 personal experience. 479 00:28:00,690 --> 00:28:02,530 That would that is tautological, right? 480 00:28:02,610 --> 00:28:03,650 But no, that's amazing. 481 00:28:04,050 --> 00:28:04,450 Yes, exactly. 482 00:28:04,770 --> 00:28:04,930 Yes. 483 00:28:05,410 --> 00:28:11,090 And and we have conservation of genes that have persisted since we were 484 00:28:11,090 --> 00:28:12,450 single-cell organisms. 485 00:28:12,690 --> 00:28:14,850 And so some of that is still in there, right? 486 00:28:15,490 --> 00:28:17,970 And so we have these multicellular organisms. 487 00:28:18,050 --> 00:28:22,930 And you know, the bigger you get, the more cells you get, um, the better you are at 488 00:28:22,930 --> 00:28:25,970 competing for mates and resources and all this stuff. 489 00:28:26,210 --> 00:28:31,820 And so in certain organisms, it's in your best interest to have a lot of cells, right? 490 00:28:32,700 --> 00:28:35,580 And cancer is a disease of cells. 491 00:28:35,820 --> 00:28:36,140 Okay. 492 00:28:37,020 --> 00:28:42,540 And when you have a lot of them, you end up having to control them and they end up when 493 00:28:42,540 --> 00:28:48,460 they're proliferating, mutating, and causing mutations that knock out their 494 00:28:48,750 --> 00:28:50,990 basically cooperative behaviors. 495 00:28:51,230 --> 00:28:53,230 And they become selfish again. 496 00:28:53,550 --> 00:28:55,470 And they start dividing. 497 00:28:55,710 --> 00:29:01,150 And then there's a different selection going on there where they're now 498 00:29:02,030 --> 00:29:07,310 dividing for their own self-interest instead of the interest of the 499 00:29:07,310 --> 00:29:09,150 multicellular organism. 500 00:29:10,340 --> 00:29:11,940 And that oh go ahead. 501 00:29:12,260 --> 00:29:12,740 Oh, sorry. 502 00:29:12,900 --> 00:29:18,500 And the reason that we don't get rid of it is because there's trade-offs in that. 503 00:29:18,580 --> 00:29:23,380 There's selection for growth and survival and reproduction. 504 00:29:23,460 --> 00:29:28,500 And we see these genes that are important for cancer are sometimes important for 505 00:29:28,500 --> 00:29:30,500 implantation and fertilization. 506 00:29:30,580 --> 00:29:35,390 And so they're getting selected early and then they get turned back on later on. 507 00:29:35,950 --> 00:29:36,430 Wow. 508 00:29:37,070 --> 00:29:41,710 Would this be an example of I uh I think it's Peter Medouar came up with his theory of 509 00:29:41,710 --> 00:29:47,550 aging, where the idea is that genes that might give you a fitness advantage early in life 510 00:29:47,630 --> 00:29:52,590 but impose a fitness cost later in life will be selected for in an organism. 511 00:29:52,670 --> 00:29:58,640 And insofar as those genes accumulate over time, uh the genome will accumulate uh features 512 00:29:58,640 --> 00:30:04,640 that will sort of cause the body to break down uh in late age uh the further the organism 513 00:30:04,640 --> 00:30:10,400 gets past reproduction and and the the further away from the window of selection that that 514 00:30:10,560 --> 00:30:12,880 um evolution will be focusing on. 515 00:30:13,120 --> 00:30:16,480 Um I I always found that theory of aging really fascinating. 516 00:30:16,640 --> 00:30:20,400 It seems like this might be an example of that, where genes that that help you with 517 00:30:20,400 --> 00:30:24,850 gestation or implantation early in life actually increase cancer risk later in life. 518 00:30:24,930 --> 00:30:29,330 And this would actually be an example of Medouarin aging. 519 00:30:29,890 --> 00:30:31,250 Yeah, and it is that. 520 00:30:31,330 --> 00:30:36,850 And what we see, and it's a little nuanced now because I think there the 521 00:30:37,250 --> 00:30:42,290 we're humans and we do things that increase our risk of cancer through our lifestyle, like 522 00:30:42,290 --> 00:30:46,690 as smoking and you know, various other things, being out in the sun too much. 523 00:30:47,250 --> 00:30:50,210 But in general, cancer is a disease of aging. 524 00:30:50,960 --> 00:30:56,800 It is, if you look across many different populations, it's an old age disease, 525 00:30:56,960 --> 00:30:57,200 right? 526 00:30:57,680 --> 00:31:03,040 And it's after basically those soma and and the mutations have 527 00:31:03,040 --> 00:31:04,080 accumulated. 528 00:31:04,160 --> 00:31:05,440 Um, but that's not it. 529 00:31:05,520 --> 00:31:10,560 It's not just mutation accumulation, because there's been some really great studies that 530 00:31:10,560 --> 00:31:16,400 look at like normal healthy tissue, and they have like the mutation profile of 531 00:31:16,400 --> 00:31:17,280 a cancer. 532 00:31:18,110 --> 00:31:23,870 And so along with the mutations, there's a breakdown in the body as we age, 533 00:31:24,030 --> 00:31:24,350 right? 534 00:31:24,590 --> 00:31:27,230 And so suddenly our immune system isn't working as well. 535 00:31:27,310 --> 00:31:29,310 Our immune system can clean it all out. 536 00:31:30,270 --> 00:31:32,110 The tissue fitness matters. 537 00:31:32,190 --> 00:31:35,390 And so suddenly the cancer cells have a competitive edge. 538 00:31:35,710 --> 00:31:39,790 Right now, when the cancer cells are in a multicellular body of a really healthy 539 00:31:39,790 --> 00:31:45,380 individual, and I say healthy, but a a young individual that has, you know, good luck 540 00:31:45,540 --> 00:31:50,180 too, um, the neighboring cells actually can suppress it. 541 00:31:50,740 --> 00:31:56,260 But suddenly the neighboring cells get older as well, and the tissue fitness landscape 542 00:31:56,260 --> 00:31:56,820 changes. 543 00:31:56,900 --> 00:32:02,810 And that's when cancer cells suddenly have a competitive edge and kind of outcompete the 544 00:32:02,970 --> 00:32:05,930 the the healthy non-cancerous tissue. 545 00:32:06,650 --> 00:32:10,650 Is this why is there uh I mean this seems like a dumb question, but is there evidence that 546 00:32:10,650 --> 00:32:15,850 exercise helps or prevent cancer in the sense of like I always hear Dan Lieberman quote of 547 00:32:15,930 --> 00:32:18,490 like diseases of old age are diseases of sedentism. 548 00:32:18,570 --> 00:32:22,890 Like, you know, and if you look at populations that are more active all sequel. 549 00:32:23,130 --> 00:32:24,010 Is that true? 550 00:32:24,570 --> 00:32:26,010 Yeah, it's true with cancer too. 551 00:32:26,090 --> 00:32:26,730 It's not everything. 552 00:32:26,890 --> 00:32:28,780 Cancer is like genetics. 553 00:32:28,940 --> 00:32:32,940 You can have underlying genetics that just predispose you to it. 554 00:32:33,180 --> 00:32:34,220 Bad luck. 555 00:32:34,380 --> 00:32:36,540 But there's a lot of bad luck in cancer. 556 00:32:36,780 --> 00:32:41,100 And it's just you just like our our genomes, we got three billion base pairs. 557 00:32:41,260 --> 00:32:45,180 What mutations that land in an important cancer suppression gene? 558 00:32:45,340 --> 00:32:45,500 Yeah. 559 00:32:45,820 --> 00:32:47,500 Sometimes just bad luck, right? 560 00:32:48,140 --> 00:32:51,170 Um, and then the other component is lifestyle. 561 00:32:51,330 --> 00:32:57,010 And so they do see yes, exercise is a huge impact on 562 00:32:57,010 --> 00:32:59,490 being protective against against cancer. 563 00:32:59,810 --> 00:33:05,090 And presumably that's like the the immune system and maybe health of cells sort of 564 00:33:05,970 --> 00:33:09,410 if to again gloss a lot, but that's sort of gloss a lot. 565 00:33:09,490 --> 00:33:14,530 And then in general, exercise, even though it could be like while you're exercising, it's 566 00:33:14,530 --> 00:33:19,960 it's a acute inflammatory, it pulls in some 567 00:33:20,120 --> 00:33:22,760 anti-inflammatory mechanisms afterwards. 568 00:33:22,840 --> 00:33:27,480 And so again, our immune system is always our double-edged sword where it can help us fight 569 00:33:27,480 --> 00:33:30,600 the things that are trying to eat us, the bacteria and the viruses. 570 00:33:31,000 --> 00:33:36,040 But when it creates too much chaos, it also promotes these 571 00:33:36,600 --> 00:33:41,370 cells to survive and thrive in in a cancer rich environment. 572 00:33:41,690 --> 00:33:41,850 Yeah. 573 00:33:42,010 --> 00:33:46,330 So when you're when you're studying this stuff, are you like have you been thinking so this 574 00:33:46,330 --> 00:33:48,250 sounds like a lot like the immune system is important. 575 00:33:48,330 --> 00:33:50,250 Like you talked about the immune system. 576 00:33:50,730 --> 00:33:56,570 So clearly like the immune system, there's been selection to keep these microchimeric cells 577 00:33:56,970 --> 00:34:02,410 in the body and the immune system is has evolved, co-evolved with the presence to allow 578 00:34:02,410 --> 00:34:02,570 them. 579 00:34:02,800 --> 00:34:03,120 Yes. 580 00:34:03,920 --> 00:34:06,960 I don't even know what my question is, but like what what's up with that? 581 00:34:07,200 --> 00:34:08,080 I have an answer for that. 582 00:34:09,600 --> 00:34:10,560 It's my new project. 583 00:34:10,720 --> 00:34:11,200 No cool. 584 00:34:11,840 --> 00:34:12,960 I think, yes. 585 00:34:13,120 --> 00:34:14,720 So we looked at cancer. 586 00:34:14,880 --> 00:34:17,200 Um, I'm gonna take the long way there though. 587 00:34:17,520 --> 00:34:22,400 Um so we looked at when cancer arose across a tree of life. 588 00:34:22,560 --> 00:34:28,400 And so we see with most multicellular organisms, there's at least some evidence that they 589 00:34:28,400 --> 00:34:31,950 can get cancer or cancer-like properties, okay? 590 00:34:32,110 --> 00:34:33,150 Even plants. 591 00:34:33,390 --> 00:34:38,910 While plants don't have a vascular system like we do, so it's not so 592 00:34:39,070 --> 00:34:40,030 impactful. 593 00:34:40,190 --> 00:34:46,030 Um, but once we get into maybe vertebrates or even you know, mammals, we 594 00:34:46,030 --> 00:34:49,150 see cancer that is prevalent across the tree. 595 00:34:49,230 --> 00:34:54,510 It's ubiquitous across many different animals, but the rates vary, 596 00:34:55,160 --> 00:34:55,640 Right. 597 00:34:55,800 --> 00:35:01,400 And so I would argue that most organisms are not completely cancer resistant, 598 00:35:01,640 --> 00:35:06,120 but some are actually really good at not getting cancer better than humans. 599 00:35:06,440 --> 00:35:06,920 Right. 600 00:35:07,240 --> 00:35:12,600 And so if we look across the tree of life, we also see that mammals in particular 601 00:35:13,720 --> 00:35:19,450 get more cancer than other groups when we compare them to birds and 602 00:35:19,450 --> 00:35:22,570 lizards and various other organisms. 603 00:35:22,970 --> 00:35:28,010 And so what is it about mammals that makes us so different? 604 00:35:28,650 --> 00:35:34,570 Some of it is one where, you know, we have to internally gestate 605 00:35:34,650 --> 00:35:40,490 and we have placentas and placentas look very much like cancer in some sense 606 00:35:40,570 --> 00:35:45,610 because they invade and they recruit blood vessels and they 607 00:35:46,460 --> 00:35:49,340 do growth in the body. 608 00:35:49,420 --> 00:35:55,180 And so is it that because we're placental mammals, we 609 00:35:55,500 --> 00:35:57,980 also have this blind spot? 610 00:35:58,140 --> 00:36:03,500 And so one of the ideas is potentially, yes, maybe our immune system 611 00:36:03,820 --> 00:36:09,020 cannot be as robust as we'd like it to be, 612 00:36:09,830 --> 00:36:15,670 because we have to be able to recognize and be okay with different 613 00:36:15,670 --> 00:36:17,430 genomes being in our body. 614 00:36:18,630 --> 00:36:19,590 Amazing. 615 00:36:20,790 --> 00:36:22,390 That's just what I think though, by the way. 616 00:36:22,710 --> 00:36:24,870 No, that's it's not. 617 00:36:25,110 --> 00:36:28,230 I don't know if that's like a community wide consensus. 618 00:36:28,550 --> 00:36:29,910 That's a fascinating hypothesis. 619 00:36:30,020 --> 00:36:30,260 Yeah. 620 00:36:30,340 --> 00:36:34,500 I and also I like I my understanding is like and maybe this is just noise, but like things 621 00:36:34,500 --> 00:36:39,300 like like dogs, like certain dogs get like like labs get really high rates of cancer. 622 00:36:39,700 --> 00:36:45,700 Um and you know, I it's in you know the in the placenta like grows really fast 623 00:36:45,780 --> 00:36:46,020 too. 624 00:36:46,180 --> 00:36:51,670 Like, you know, I mean it a lot of this feels like it's the a lot of it is sort of maybe 625 00:36:51,670 --> 00:36:53,510 developmental things too. 626 00:36:53,590 --> 00:36:57,990 So like the immune system has this issue of like, is this a developing offspring? 627 00:36:58,230 --> 00:37:01,590 Is this my development, or is it cancer? 628 00:37:01,750 --> 00:37:03,750 That's a hard problem, right? 629 00:37:03,990 --> 00:37:04,230 Yes. 630 00:37:04,470 --> 00:37:05,350 To tease it. 631 00:37:05,430 --> 00:37:05,670 Yes. 632 00:37:05,830 --> 00:37:06,070 Yeah. 633 00:37:06,390 --> 00:37:06,710 Yes. 634 00:37:06,790 --> 00:37:07,110 Yes. 635 00:37:07,270 --> 00:37:09,350 Um no and dogs do get more cancer. 636 00:37:09,430 --> 00:37:10,310 They're domesticated. 637 00:37:10,470 --> 00:37:12,550 We think a lot of it has to do with like inbreeding. 638 00:37:12,630 --> 00:37:14,470 So a lot of the domesticated species. 639 00:37:14,550 --> 00:37:20,320 And so we bred them to look real cute, but they came with a a baggage in their genetic 640 00:37:20,480 --> 00:37:26,160 you know predisposition for disease in general um other species that get a lot of cancer 641 00:37:26,160 --> 00:37:31,760 are like ferrets and hamsters we think there is we have this like life history perspective 642 00:37:31,760 --> 00:37:36,960 when we're studying cancer where we think like these fast life history strategies that just 643 00:37:36,960 --> 00:37:42,590 go reproduce live shortly you will not evolve defenses against 644 00:37:42,590 --> 00:37:44,430 cancer because you're not living long enough. 645 00:37:44,510 --> 00:37:46,830 You're going to get, you know, eaten by a hawk, right? 646 00:37:47,070 --> 00:37:47,390 Right. 647 00:37:47,790 --> 00:37:52,190 And then on the other end, you have these species such as humans, but also elephants and 648 00:37:52,190 --> 00:37:54,990 whales that grow really big and slowly. 649 00:37:55,150 --> 00:38:00,670 Um, it's in their best interest to maintain their soma, you know, and that means also 650 00:38:00,910 --> 00:38:02,350 cancer defense, right? 651 00:38:02,430 --> 00:38:07,760 Like making sure you're dividing your cells carefully, there's no mutations, you have in 652 00:38:08,080 --> 00:38:13,840 you know enhanced immune activity and various things to prune cancer like cells from 653 00:38:14,080 --> 00:38:14,240 them. 654 00:38:14,960 --> 00:38:20,880 Is is there any um is there any evidence that like these immune responses or the micro 655 00:38:21,120 --> 00:38:26,800 the genetics of offspring, you know, what consequences other than the 656 00:38:26,800 --> 00:38:28,560 immune system lets them exist? 657 00:38:28,720 --> 00:38:32,240 I mean, it sounds like this might be the edge of science, or we don't know. 658 00:38:32,800 --> 00:38:38,670 What what do we know of like what consequence they're having on the on the 659 00:38:38,670 --> 00:38:40,910 mother or on us, you know? 660 00:38:41,070 --> 00:38:42,670 Like do we know? 661 00:38:43,230 --> 00:38:44,990 Uh yeah, we don't know. 662 00:38:45,070 --> 00:38:46,910 Um there's a few papers. 663 00:38:47,070 --> 00:38:52,430 So going back to I love that we're jumping from sometimes people think I study these two 664 00:38:52,750 --> 00:38:56,910 very distinct topics, but we're yeah, no, it seems like uh it's all related. 665 00:38:57,390 --> 00:38:58,110 They relate. 666 00:38:59,150 --> 00:39:04,940 So um yeah, the the fetal cell, there's some really great studies to show the 667 00:39:04,940 --> 00:39:10,620 mother is sending cells to the baby that are c clearly important for immune education. 668 00:39:11,180 --> 00:39:15,660 There's, you know, passive immunity through antibodies being sent to the baby, right? 669 00:39:15,820 --> 00:39:20,300 That are really important for survival, especially if it's like an infection that's 670 00:39:20,300 --> 00:39:22,220 happening in real time, right? 671 00:39:22,460 --> 00:39:25,660 But also immune cells are going to the baby as well. 672 00:39:25,890 --> 00:39:30,370 That's an amazing, you know, the immune system is completely naive for the baby, and the 673 00:39:30,370 --> 00:39:35,090 mom has already had this lifetime experience of exposure and is now passing cells on. 674 00:39:35,410 --> 00:39:38,210 And then is that through placenta and breast milk? 675 00:39:38,530 --> 00:39:38,850 Yes. 676 00:39:39,090 --> 00:39:39,410 Okay. 677 00:39:39,890 --> 00:39:40,290 Nice. 678 00:39:40,850 --> 00:39:41,090 Yes. 679 00:39:41,330 --> 00:39:45,090 It goes through the placenta and then again through through the breast milk. 680 00:39:45,170 --> 00:39:47,330 Um, there's maternal cells being passed on. 681 00:39:47,560 --> 00:39:51,320 Fetal cells get a little bit trickier because those are the baby cells going to the mother. 682 00:39:51,480 --> 00:39:51,720 Right. 683 00:39:51,880 --> 00:39:56,680 What the heck could they be doing that could actually impact the mother's survival and 684 00:39:56,680 --> 00:39:58,040 reproductive success? 685 00:39:58,200 --> 00:40:03,480 Um, and again, like you had mentioned, it could be like just this burst of young stem cells 686 00:40:04,040 --> 00:40:09,960 that and and there's some data to show potentially yes, or some mouse models that show 687 00:40:09,960 --> 00:40:14,790 that these cells can track to sites of injury and help repair it. 688 00:40:15,030 --> 00:40:20,390 There's um these, there was one paper that showed they looked at women in their C-section 689 00:40:20,550 --> 00:40:24,390 scars and they were able to find baby cells, fetal cells there. 690 00:40:24,550 --> 00:40:29,110 And they were like expressing collagen, which is really important for you know healing the 691 00:40:29,110 --> 00:40:29,830 C-section. 692 00:40:30,230 --> 00:40:36,070 So yeah, some of it is maybe these, it's just a burst of new cells, like uh, you 693 00:40:36,070 --> 00:40:36,390 know. 694 00:40:36,790 --> 00:40:42,480 Um, and there's one paper out looking again, broad broad scale at like 695 00:40:42,480 --> 00:40:44,240 male origin microchimerism. 696 00:40:44,400 --> 00:40:50,080 So not even like being specific about the baby, but just looking at Y chromosome in 697 00:40:50,240 --> 00:40:50,640 women. 698 00:40:50,800 --> 00:40:56,720 And they found women decades later that tested positive for male origin 699 00:40:56,880 --> 00:40:58,880 microchimerism lived longer. 700 00:40:59,200 --> 00:40:59,840 Wow. 701 00:41:00,240 --> 00:41:03,120 So there could be some potential benefits. 702 00:41:03,360 --> 00:41:08,810 And we don't know, we don't know why some women we can detect these 703 00:41:08,810 --> 00:41:13,850 cells in them and other times we cannot detect any cells after they've given birth. 704 00:41:14,090 --> 00:41:19,690 I think it's more our method method methodology of not being able to detect rare 705 00:41:19,690 --> 00:41:21,850 cells than them not being there. 706 00:41:21,930 --> 00:41:26,650 But yeah and how how new I mean this sound like as you alluded to earlier it sounds like 707 00:41:26,650 --> 00:41:32,490 this is very much this uh science is very much dependent on genetic sequencing being 708 00:41:32,490 --> 00:41:35,780 faster and cheaper or How how old is this? 709 00:41:35,860 --> 00:41:40,340 I mean, you said we know we've done some of these things, but like, has is this a case 710 00:41:40,340 --> 00:41:46,100 where the change in technology has allowed this research area to proliferate such that it's 711 00:41:46,100 --> 00:41:49,700 now feasible to do this at scale? 712 00:41:49,940 --> 00:41:50,100 Yeah. 713 00:41:50,580 --> 00:41:51,540 Yeah, absolutely. 714 00:41:51,700 --> 00:41:56,420 Like it was, you know, 100 years ago we knew that this with potential that cells were 715 00:41:56,420 --> 00:41:57,220 coming over. 716 00:41:57,620 --> 00:42:02,820 Everyone just thought it again was a byproduct of this spillover effect, right? 717 00:42:03,060 --> 00:42:06,290 Of of being a deeply invasive placenta. 718 00:42:06,530 --> 00:42:11,010 Um, and it wasn't until like the early 90s, I believe, was the first paper that showed, oh 719 00:42:11,090 --> 00:42:13,090 no, these cells stay around. 720 00:42:13,330 --> 00:42:14,930 And that like had a mind shift. 721 00:42:15,170 --> 00:42:17,810 Suddenly, evolutionary biologists were interested in it too. 722 00:42:17,970 --> 00:42:21,410 Like, wait, like these cells are persisting. 723 00:42:21,810 --> 00:42:23,650 Do they have a function? 724 00:42:23,970 --> 00:42:28,380 And is it a function that's important for that body actually? 725 00:42:28,620 --> 00:42:30,540 Do we and have we co-evolved it? 726 00:42:30,700 --> 00:42:35,900 So we expect that right um relationship to to happen. 727 00:42:36,140 --> 00:42:41,820 So and then if uh if I can have my mother's um 728 00:42:42,060 --> 00:42:44,780 cells in me, can I have my grandmother's cells in me? 729 00:42:44,940 --> 00:42:45,260 Yes. 730 00:42:45,500 --> 00:42:49,710 We think so there's one paper that has shown it, right? 731 00:42:50,110 --> 00:42:52,750 But of course there's this route, you know. 732 00:42:52,990 --> 00:42:58,270 Um and there's one paper that showed that yeah, grandmother cells were in the cord blood. 733 00:42:58,510 --> 00:43:00,990 So we think that that's possible. 734 00:43:01,070 --> 00:43:06,910 And you can imagine a scenario where there's a group of cells that just get really good at 735 00:43:06,910 --> 00:43:08,910 jumping generation to generation. 736 00:43:09,070 --> 00:43:09,390 Yeah. 737 00:43:09,630 --> 00:43:10,190 Right. 738 00:43:10,430 --> 00:43:14,670 Um and it can go on for potentially a really long time. 739 00:43:14,990 --> 00:43:15,310 Yeah. 740 00:43:15,440 --> 00:43:15,760 Yeah. 741 00:43:16,000 --> 00:43:17,840 It's sort of beautiful in a way, right? 742 00:43:18,000 --> 00:43:18,880 It's it's yeah. 743 00:43:19,040 --> 00:43:22,160 I I to to be slightly like uh poetic about it. 744 00:43:22,240 --> 00:43:23,680 But yeah, there's something cool about that. 745 00:43:23,760 --> 00:43:24,000 Yeah. 746 00:43:24,160 --> 00:43:24,320 Yeah. 747 00:43:24,480 --> 00:43:24,640 Yeah. 748 00:43:25,200 --> 00:43:30,400 You literally have a you know bits of your your grandma in you, potentially like Yes. 749 00:43:30,720 --> 00:43:34,800 I know and and then you hear things like, Oh, she looks a lot like grandma. 750 00:43:34,960 --> 00:43:38,320 Like there's a cousin, you know, and the cousin's like, they look a lot like grandma. 751 00:43:38,400 --> 00:43:43,950 And I'm like, what if what if it was more grammar than we know oh yeah for me 752 00:43:44,270 --> 00:43:49,230 because these cells are coming over what's the what's the potential that it can actually 753 00:43:49,230 --> 00:43:54,830 like be a part of the germline or insert really early into development um 754 00:43:55,150 --> 00:44:01,150 and yeah have you know more of a chimerism effect than 755 00:44:01,150 --> 00:44:02,910 a microchimerism effect. 756 00:44:04,200 --> 00:44:09,400 It's like painting such a messier picture of nature than what I might be accustomed to, 757 00:44:09,480 --> 00:44:14,120 where it's just like these cells and DNA strands are just sloshing around and I still got 758 00:44:14,120 --> 00:44:15,320 bits of my grandma in me. 759 00:44:15,400 --> 00:44:18,680 Like it's just so much messier than than I would think. 760 00:44:18,760 --> 00:44:19,080 I don't know. 761 00:44:19,160 --> 00:44:22,680 It's it's yeah, horizontal transmission really screws me up too. 762 00:44:22,840 --> 00:44:25,880 Like if we if when you add that in, you're like, oh my god. 763 00:44:25,960 --> 00:44:26,120 Yeah. 764 00:44:28,370 --> 00:44:30,850 this might seem like a dumb question, but I'm curious. 765 00:44:31,010 --> 00:44:36,530 Um would you expect differences between mammals and marsupial mammals where the 766 00:44:36,530 --> 00:44:38,770 gestation isn't quite as internal? 767 00:44:39,170 --> 00:44:44,770 Uh would you expect, say, less microchimerism, less autoimmune diseases, perhaps less 768 00:44:44,770 --> 00:44:45,410 cancer? 769 00:44:46,930 --> 00:44:48,370 This is a great question. 770 00:44:48,530 --> 00:44:50,610 Um we we're trying to look at that. 771 00:44:50,690 --> 00:44:54,210 Um we don't know if there's microchimerism in marsupials. 772 00:44:54,370 --> 00:44:55,490 I think there is. 773 00:44:55,720 --> 00:45:00,520 I'm I've I've had some leads on some mars marsupial blood before, but we haven't had a 774 00:45:00,520 --> 00:45:01,720 chance to look at it. 775 00:45:01,960 --> 00:45:04,520 Um, but but potentially. 776 00:45:04,680 --> 00:45:10,520 Um, and then the other thing that is complicated is yeah, you could maybe 777 00:45:10,520 --> 00:45:14,120 suggest um less cancer. 778 00:45:14,360 --> 00:45:20,270 So there's marsupials that have a very um placenta-like structure 779 00:45:20,430 --> 00:45:23,230 that's really quick, and then they go to the pouch, right? 780 00:45:23,470 --> 00:45:29,470 And then across mammals, there's basically three different invasion types of placentas 781 00:45:29,710 --> 00:45:35,550 from a very um surface invasion to some kind of integration into 782 00:45:35,790 --> 00:45:37,550 a superinvasive placenta. 783 00:45:37,630 --> 00:45:42,640 And it's assumed that organisms that have the super invasive placenta have the most 784 00:45:42,640 --> 00:45:43,680 microchimerism. 785 00:45:44,000 --> 00:45:49,920 And there's also predictions that those organism or those organisms have the 786 00:45:49,920 --> 00:45:50,880 most cancer. 787 00:45:51,200 --> 00:45:52,960 Like there's a stepwise. 788 00:45:53,120 --> 00:45:57,440 The more invasive a placenta gets, the more cancer we should see. 789 00:45:57,920 --> 00:46:00,000 We do not see that in my data. 790 00:46:00,320 --> 00:46:00,480 No. 791 00:46:00,800 --> 00:46:02,160 It's like a really nice theory. 792 00:46:02,240 --> 00:46:04,480 It's in evolutionary medicine textbooks. 793 00:46:04,640 --> 00:46:06,240 It's much messier than that. 794 00:46:06,400 --> 00:46:12,310 And so with the marsupials, what we see is that um they 795 00:46:12,310 --> 00:46:17,990 could have went through some genetic bottlenecks and um actually 796 00:46:18,390 --> 00:46:24,230 um some of them get a lot of cancer but it might have nothing to do 797 00:46:24,230 --> 00:46:29,430 with their relationship with the placenta it could be just other factors 798 00:46:29,940 --> 00:46:32,820 And actually, um, the Tasmanian Devils. 799 00:46:32,980 --> 00:46:35,060 Have you heard of the Tasmanian Devils? 800 00:46:35,300 --> 00:46:38,420 Well, I've seen Looney Tunes, so yes, I'm totally familiar with it. 801 00:46:38,900 --> 00:46:39,300 Yes. 802 00:46:39,620 --> 00:46:45,540 These these creatures actually, they're 803 00:46:45,540 --> 00:46:50,820 not like the Looney Tunes character in the sense that they spin all around, but they are a 804 00:46:50,820 --> 00:46:53,860 little crazy in that in their they're very bitey creatures. 805 00:46:55,060 --> 00:46:58,900 And they have developed a transmissible cancer. 806 00:46:59,330 --> 00:46:59,890 Whoa. 807 00:47:00,610 --> 00:47:06,290 So that is they have a tumor on their face that existed on a devil hundreds of 808 00:47:06,290 --> 00:47:09,410 years ago, um, and it still persists. 809 00:47:09,490 --> 00:47:14,930 And they just transfer cells, not a virus, cancer cells from an 810 00:47:15,250 --> 00:47:17,570 individual that is no longer alive. 811 00:47:17,810 --> 00:47:18,450 Whoa. 812 00:47:18,770 --> 00:47:22,920 And it's pretty uh detrimental to the Tasmanian doubles. 813 00:47:23,160 --> 00:47:25,720 They may go extinct because of this. 814 00:47:26,120 --> 00:47:32,120 Um not only once has this evolved, but now there's a 815 00:47:32,120 --> 00:47:35,960 second strain of transmissible cancer. 816 00:47:36,120 --> 00:47:41,400 So again, it's cancer cells that are hopping from host to host to host. 817 00:47:41,720 --> 00:47:41,880 Wow. 818 00:47:42,040 --> 00:47:47,800 And they can't, um it wouldn't does it cross species, like if a Tasmanian double bit uh on 819 00:47:47,800 --> 00:47:51,070 their organism, it's not it has not crossed species. 820 00:47:51,150 --> 00:47:54,830 There's transmissible cancers in bivalves too, like muscles. 821 00:47:54,990 --> 00:47:55,790 Oh wow. 822 00:47:56,110 --> 00:47:58,030 And those have crossed species. 823 00:47:58,350 --> 00:47:58,750 Wow. 824 00:47:58,990 --> 00:48:04,270 Oh man, I mean that's a great topic for a the next pandemic movie is a contagious cancer 825 00:48:04,750 --> 00:48:05,070 right? 826 00:48:05,550 --> 00:48:05,870 Yes. 827 00:48:06,190 --> 00:48:08,110 Gets spread from the Tasmanian devil. 828 00:48:08,430 --> 00:48:10,030 Well, you have to be bitey, right? 829 00:48:10,110 --> 00:48:14,030 Like we've talked a lot about like why don't we have contagious cancer, right? 830 00:48:14,430 --> 00:48:19,400 And there dogs have uh contagious cancer as well, and it's sexually transmitted. 831 00:48:19,880 --> 00:48:22,120 Um, and it's treatable. 832 00:48:22,360 --> 00:48:27,720 Um, but it's from a dog that again lived like 10,000 years ago, and the cells still 833 00:48:27,720 --> 00:48:28,280 persist. 834 00:48:28,440 --> 00:48:30,280 Yeah, it's really mind blowing. 835 00:48:30,520 --> 00:48:36,200 Um, but um yeah, the the routes to transmission, if you 836 00:48:36,200 --> 00:48:42,170 wanted to pass cancer cells back and forth, you need to either be bitey or 837 00:48:42,170 --> 00:48:45,530 it has to be a sexually transmitted type of thing, right? 838 00:48:45,770 --> 00:48:46,090 Right. 839 00:48:46,250 --> 00:48:48,570 Um so is the clam biting people? 840 00:48:48,890 --> 00:48:52,730 No, but well here's the other thing that or you live in the ocean. 841 00:48:53,050 --> 00:48:53,930 Uh right, of course. 842 00:48:54,090 --> 00:48:59,210 Because the 'cause you're like we're not just like sucking in cells as we move through our 843 00:48:59,210 --> 00:48:59,690 environment. 844 00:48:59,850 --> 00:49:00,810 Land, land animal. 845 00:49:01,210 --> 00:49:01,850 Oh yeah, that's true. 846 00:49:01,930 --> 00:49:04,650 Cause I always think about like you know, vectors, like mosquitoes. 847 00:49:04,810 --> 00:49:06,730 But yeah, the ocean is like a whole vector. 848 00:49:07,050 --> 00:49:07,930 It's a whole thing. 849 00:49:08,010 --> 00:49:09,530 It's a whole another world. 850 00:49:09,690 --> 00:49:10,170 Yes. 851 00:49:11,120 --> 00:49:11,440 That's true. 852 00:49:12,640 --> 00:49:16,000 Truly wild and bizarre this contagious face cancer business. 853 00:49:16,240 --> 00:49:20,480 Um it's like put that on a t shirt or something. 854 00:49:20,720 --> 00:49:21,760 It's very weird, yeah. 855 00:49:21,920 --> 00:49:22,080 Yes. 856 00:49:22,400 --> 00:49:28,160 Uh but I i I'm struggling to wrap my head around it because it it makes sense that cancer 857 00:49:28,160 --> 00:49:32,720 might evolve in in me if I'm really old and my tissues are damaged, my immune system isn't 858 00:49:32,720 --> 00:49:37,040 so great, uh, and there's been a lot of time for the cells in my body to accumulate 859 00:49:37,150 --> 00:49:41,230 mutations that might serve the the self-interest of the cell at the expense of the rest of 860 00:49:41,230 --> 00:49:41,710 the body. 861 00:49:41,870 --> 00:49:46,430 And so it makes sense that my body might have a hard time tamping down on the cancer. 862 00:49:46,590 --> 00:49:50,110 But once it gets into someone else's body, particularly someone else who's young and 863 00:49:50,110 --> 00:49:51,870 healthy, then it's a whole different ballgame. 864 00:49:51,950 --> 00:49:55,550 And so how how does the cancer survive once it gets to someone else's body? 865 00:49:55,870 --> 00:49:56,190 Yeah. 866 00:49:56,430 --> 00:49:56,750 Yeah. 867 00:49:56,830 --> 00:50:00,990 So there's been studies looking at humans, and there's only been a few cases. 868 00:50:01,150 --> 00:50:03,480 One is transferring through pregnancy. 869 00:50:03,640 --> 00:50:06,840 Unfortunately, cancers can metastasize. 870 00:50:07,000 --> 00:50:11,000 Um, but other than that, we're pretty good at saying, no, that is not me. 871 00:50:11,160 --> 00:50:15,640 Um, I, you know, I reject it, the immune system rejects it. 872 00:50:15,800 --> 00:50:21,800 When it comes to the Tasmanian devils, um, and sorry, I'm I didn't complete 873 00:50:21,800 --> 00:50:24,840 the the the full story because we talked about genetic bottlenecks. 874 00:50:25,000 --> 00:50:29,590 Seems like the Tasmanian devils went through a genetic bottleneck and they have reduction 875 00:50:29,590 --> 00:50:33,510 of their MHC receptors, their self non-self receptors. 876 00:50:33,910 --> 00:50:39,830 And that reduced genetic diversity has allowed them to not be able to 877 00:50:39,830 --> 00:50:44,070 recognize that as non-self as much as it should. 878 00:50:44,310 --> 00:50:50,310 Um so unfortunately that was the it was like a combination, the perfect storm for the 879 00:50:50,310 --> 00:50:51,990 test, as you said. 880 00:50:52,070 --> 00:50:56,070 Like it's just this example of just a species level bad luck, basically. 881 00:50:56,390 --> 00:50:56,790 Exactly. 882 00:50:56,950 --> 00:50:57,190 Yeah. 883 00:50:57,350 --> 00:50:57,750 Yeah. 884 00:50:57,920 --> 00:50:58,240 Yeah. 885 00:50:58,480 --> 00:50:58,880 Wow. 886 00:50:59,120 --> 00:51:03,600 I I love this new picture of of nature where just shit happens, there's bad luck, things 887 00:51:03,600 --> 00:51:06,960 are sloshing around, everything's messy all over the place. 888 00:51:08,720 --> 00:51:10,160 And somehow we survive. 889 00:51:10,480 --> 00:51:10,720 I know. 890 00:51:10,800 --> 00:51:10,960 Yeah. 891 00:51:11,120 --> 00:51:13,280 No, again, as a mach as a multicellular organism. 892 00:51:13,520 --> 00:51:15,600 And we live for a really long time too. 893 00:51:15,840 --> 00:51:17,120 Yeah, no, it's a miracle. 894 00:51:17,280 --> 00:51:17,920 It's amazing. 895 00:51:18,000 --> 00:51:19,520 All this anything works at all. 896 00:51:19,680 --> 00:51:21,040 It's really Yes. 897 00:51:21,360 --> 00:51:24,800 When you um uh you mentioned evolutionary medicine. 898 00:51:24,960 --> 00:51:26,480 We haven't really talked about that. 899 00:51:27,370 --> 00:51:33,290 Um, you know, I don't want to go away from what you're an expert in or what you're, but can 900 00:51:33,290 --> 00:51:39,130 you talk about sort of like how you view I don't know, I don't even know enough about 901 00:51:39,370 --> 00:51:39,530 you. 902 00:51:39,690 --> 00:51:41,450 You're the expert in evolutionary medicine. 903 00:51:41,530 --> 00:51:45,850 You're sitting, you're you are an instance of sitting in that Venn diagram of basic 904 00:51:45,850 --> 00:51:47,770 research, and then people maybe doing medicine. 905 00:51:47,930 --> 00:51:52,300 Can you talk a little bit about that, and I don't even know what to ask because I don't 906 00:51:52,300 --> 00:51:52,860 know enough. 907 00:51:53,980 --> 00:51:54,540 Yes. 908 00:51:54,860 --> 00:51:55,900 For it's so funny. 909 00:51:56,140 --> 00:51:57,580 So I teach evolutionary medicine. 910 00:51:57,660 --> 00:51:59,820 I'm teaching it right now at UCSB. 911 00:51:59,980 --> 00:52:04,940 And the first day I always ask the students, even though there's a description, they don't 912 00:52:04,940 --> 00:52:05,980 know what the class is. 913 00:52:06,140 --> 00:52:06,780 Yeah. 914 00:52:07,260 --> 00:52:10,620 And I always ask them what they think evolutionary medicine is. 915 00:52:10,940 --> 00:52:15,020 And it says how evolution evolved over you know time. 916 00:52:15,190 --> 00:52:20,230 and it that's not what evolutionary medicine is how medicine changed over time yeah how 917 00:52:20,230 --> 00:52:25,350 medicine changed over time um but evolutionary medicine um 918 00:52:25,990 --> 00:52:31,830 is you know the the why we get sick okay so a lot of the medical field 919 00:52:31,910 --> 00:52:37,830 so I did my PhD in a med school and so it was a lot of the mechanisms you know 920 00:52:37,910 --> 00:52:43,200 this protein this gene this you know factor the you know, proximate 921 00:52:43,200 --> 00:52:45,520 mechanisms of the disease. 922 00:52:45,680 --> 00:52:50,800 And then evolutionary medicine takes a step back and says, well, why are we vulnerable in 923 00:52:50,800 --> 00:52:51,680 the first place? 924 00:52:51,920 --> 00:52:54,080 Why are we vulnerable to cancer? 925 00:52:54,240 --> 00:52:58,400 Why are we, you know, vulnerable to these specific diseases? 926 00:52:58,640 --> 00:53:01,440 What is it in our evolutionary history or past? 927 00:53:01,680 --> 00:53:02,880 Are there trade-offs? 928 00:53:03,040 --> 00:53:06,800 Are there constraints that we're vulnerable for this sickness? 929 00:53:07,410 --> 00:53:10,530 And I think it's a really powerful way to view diseases. 930 00:53:10,770 --> 00:53:16,610 Some have argued that maybe it doesn't have such a practical impact sometimes, 931 00:53:16,690 --> 00:53:19,730 where it's like, oh, cool, it's because we're multicellular. 932 00:53:20,130 --> 00:53:21,410 Like, what now? 933 00:53:21,650 --> 00:53:21,890 Right. 934 00:53:22,290 --> 00:53:24,050 In terms of cancer. 935 00:53:24,210 --> 00:53:30,040 But then other times it does have a really um interesting point of view because then it's 936 00:53:30,040 --> 00:53:35,640 like, oh, but other species that have also are multicellular get less 937 00:53:35,640 --> 00:53:36,840 cancer than humans. 938 00:53:37,000 --> 00:53:38,040 So what have they done? 939 00:53:38,120 --> 00:53:43,320 So we can take this comparative approach when we're looking deep in the phylogenies. 940 00:53:43,480 --> 00:53:48,760 But then also some really great ways evolutionary medicine is moving forward in like a 941 00:53:48,760 --> 00:53:54,280 clinical sense is trying to understand both antibiotic resistance and 942 00:53:54,530 --> 00:53:59,970 chemotherapy resistance because they're following principles of evolution, right? 943 00:54:00,210 --> 00:54:05,970 Bacteria, we provide a selective pressure, they respond, they evolve resistance. 944 00:54:06,130 --> 00:54:08,370 Same thing with cancer cells, actually. 945 00:54:08,530 --> 00:54:12,530 That that mass that's in your body can start evolving, right? 946 00:54:12,770 --> 00:54:15,970 It's operating on principles of natural selection. 947 00:54:16,370 --> 00:54:22,200 And um, when it comes to treatment, we could maybe harness these principles of 948 00:54:22,200 --> 00:54:26,920 evolution to do a better job at avoiding resistance. 949 00:54:27,160 --> 00:54:32,200 Because the problem with medicine such as antibiotics or 950 00:54:32,200 --> 00:54:36,680 chemotherapy, we hit a dead end when we hit resistance. 951 00:54:37,480 --> 00:54:41,400 And we don't have any more drugs to provide the patient, right? 952 00:54:41,560 --> 00:54:45,930 Um, so if we could avoid resistance, we might be better off. 953 00:54:46,010 --> 00:54:48,730 Um, and the patient might do better. 954 00:54:48,970 --> 00:54:54,970 And so there's such great work looking at how you steer um the 955 00:54:54,970 --> 00:55:00,890 evolution of a bacteria population or a cancer cell population to 956 00:55:00,890 --> 00:55:04,650 where you want it to go in terms of their evolutionary trajectory. 957 00:55:04,820 --> 00:55:06,340 And I think that is so cool. 958 00:55:06,900 --> 00:55:10,340 So like domesticating the Yes, exactly. 959 00:55:11,060 --> 00:55:11,380 Yes. 960 00:55:11,540 --> 00:55:15,540 And there's all these ecologists that have jumped in, especially in the like cancer world, 961 00:55:15,620 --> 00:55:19,220 where it's like, okay, here's a scenario that I see in ecology. 962 00:55:19,460 --> 00:55:25,220 So you have, you know, a rabbit, right, that's out in the the savannah 963 00:55:25,300 --> 00:55:26,900 and there's a hawk coming for it. 964 00:55:27,060 --> 00:55:27,380 Okay. 965 00:55:27,540 --> 00:55:28,900 And so the rabbit, what does it do? 966 00:55:29,060 --> 00:55:30,420 It darts under a bush. 967 00:55:30,580 --> 00:55:32,100 Where are all the snakes? 968 00:55:32,250 --> 00:55:33,610 are hiding in the bush? 969 00:55:33,850 --> 00:55:34,330 Right. 970 00:55:34,650 --> 00:55:37,690 How do we do that same principle for cancer? 971 00:55:37,850 --> 00:55:43,610 Like how can we switch the ecology to end up tricking 972 00:55:43,610 --> 00:55:46,090 them into their own demise, basically? 973 00:55:46,570 --> 00:55:47,610 So like so yeah. 974 00:55:47,690 --> 00:55:51,530 So like an example just like concretely would be some I mean, like this is still I have no 975 00:55:51,930 --> 00:55:56,170 no idea, but just to make like make sure I understand, would be something like you have 976 00:55:56,170 --> 00:56:01,720 bacteria that feed on something, and you select for those 977 00:56:01,720 --> 00:56:07,480 bacteria that are really efficient at feeding on this thing, but then that thing that 978 00:56:07,480 --> 00:56:13,400 you've selected those bacteria for, then if in a generation later is the 979 00:56:13,400 --> 00:56:14,680 vehicle of drug delivery. 980 00:56:14,840 --> 00:56:19,480 So you've selected for the bacteria that are super good at uptaking this material. 981 00:56:20,040 --> 00:56:21,160 Let's give you all the resources. 982 00:56:21,640 --> 00:56:25,640 And you Trojan horse the drug later, and then you're like boom, and they just take it up 983 00:56:25,640 --> 00:56:26,120 super well. 984 00:56:26,190 --> 00:56:26,430 Yeah. 985 00:56:26,670 --> 00:56:26,910 Yes. 986 00:56:27,070 --> 00:56:29,950 So there's these ideas circul circulating. 987 00:56:30,110 --> 00:56:35,550 Another one that's really prevalent um right now is actually let's give less drug. 988 00:56:36,910 --> 00:56:39,630 Let's not create resistance in the first place. 989 00:56:39,870 --> 00:56:44,990 Because what we realize, especially I'm gonna just gonna the same principles apply to both, 990 00:56:45,070 --> 00:56:50,860 but I'm just gonna talk about cancer biology is in a tumor, you have a bunch of cells 991 00:56:50,860 --> 00:56:55,580 that maybe can respond to the drug, but there's already cells that are resistant to the 992 00:56:55,580 --> 00:56:55,900 drug. 993 00:56:56,140 --> 00:57:01,580 And so you're benefiting the tumor if you kill all the cells that are responding to your 994 00:57:01,580 --> 00:57:01,900 drug. 995 00:57:02,060 --> 00:57:05,420 Because in the cells that are resistant, we have this competitive release. 996 00:57:05,580 --> 00:57:09,580 And then all of a sudden, oh no, your drug doesn't work anymore for that population. 997 00:57:09,820 --> 00:57:15,340 But what if you kept the resistant cells and the sensitive cells within the same 998 00:57:15,340 --> 00:57:18,890 tumor and they competed for resources. 999 00:57:20,730 --> 00:57:26,090 And what you did then was just knocked down the tumor smaller. 1000 00:57:26,330 --> 00:57:26,890 Wow. 1001 00:57:27,370 --> 00:57:30,330 Um but still had control over the tumor. 1002 00:57:30,490 --> 00:57:30,570 Yeah. 1003 00:57:30,650 --> 00:57:30,890 That's right. 1004 00:57:31,130 --> 00:57:37,130 Like it's all about staying, but but that psychologically will have to change our our 1005 00:57:37,130 --> 00:57:38,970 way of how we think about cancer. 1006 00:57:39,320 --> 00:57:45,080 Because right now there's like the war on cancer, like all of these metaphors about you got 1007 00:57:45,080 --> 00:57:45,800 to get rid of everything. 1008 00:57:46,120 --> 00:57:47,160 It's like a contamination. 1009 00:57:47,480 --> 00:57:50,200 It's like it's like dirt and you've got to clean it out. 1010 00:57:50,360 --> 00:57:53,160 It's like a very it's like a pathogen right. 1011 00:57:53,960 --> 00:57:59,560 And it's and maybe it's this view that we are this this one uniform thing, right? 1012 00:57:59,720 --> 00:58:01,400 Instead of this messy thing. 1013 00:58:01,560 --> 00:58:06,760 And so once there is this idea that oh we can maybe treat cancer as 1014 00:58:07,190 --> 00:58:13,110 diabetes, where you know it's we're not going for cure, we're going for control of the 1015 00:58:13,110 --> 00:58:13,830 disease. 1016 00:58:14,070 --> 00:58:20,070 It's been um really hard to kind of get people wrapped around that 1017 00:58:20,070 --> 00:58:20,870 mentality. 1018 00:58:21,030 --> 00:58:26,550 But there are a few clinical trials out there working on exactly doing that. 1019 00:58:26,790 --> 00:58:32,470 Same drug that is already passed and given to patients, but just at lower doses, 1020 00:58:32,710 --> 00:58:36,150 um, and only responding when the tumor responds to it. 1021 00:58:36,480 --> 00:58:36,720 Yeah. 1022 00:58:36,800 --> 00:58:37,520 It's so interesting. 1023 00:58:37,680 --> 00:58:40,400 Metaphors of like science or physiology. 1024 00:58:40,480 --> 00:58:41,120 It's really interesting. 1025 00:58:41,200 --> 00:58:44,080 I never thought about like metaphors of like how to think about medicine. 1026 00:58:44,240 --> 00:58:49,840 But yeah, that's going to totally affect the way you know physicians or the the 1027 00:58:49,840 --> 00:58:52,000 applied folks are going to use things. 1028 00:58:52,720 --> 00:58:58,240 And one of the things sort of implicit in a lot of our science is we we change the 1029 00:58:58,240 --> 00:59:02,960 metaphors we use as we learn more, but maybe that hasn't spread is sort of what I'm 1030 00:59:02,960 --> 00:59:03,200 hearing. 1031 00:59:03,280 --> 00:59:03,520 Yeah. 1032 00:59:03,760 --> 00:59:04,160 Yes. 1033 00:59:04,370 --> 00:59:04,930 Yes. 1034 00:59:05,170 --> 00:59:09,730 And and the thing is, unfortunate well, fortunately enough, many times there could be a 1035 00:59:09,730 --> 00:59:10,450 cure, right? 1036 00:59:10,610 --> 00:59:15,010 There's many people that I'm not saying this is everyone, like there's many people that get 1037 00:59:15,010 --> 00:59:18,930 cancer and do chemotherapy and it works. 1038 00:59:19,250 --> 00:59:24,930 And they're five like five years, 10 years, no, no sign of disease, right? 1039 00:59:25,090 --> 00:59:29,260 And so it's one figuring out who falls into what category. 1040 00:59:29,420 --> 00:59:30,780 When is it a cure case? 1041 00:59:30,860 --> 00:59:34,380 When is it a case where we're just going to do long-term treatment? 1042 00:59:34,780 --> 00:59:40,780 And then how do the whole treatment regime should be how do we avoid 1043 00:59:40,780 --> 00:59:41,660 resistance? 1044 00:59:42,940 --> 00:59:44,940 So super cool. 1045 00:59:45,100 --> 00:59:45,420 Yeah. 1046 00:59:45,580 --> 00:59:50,670 If it's it's sort of it's it's I love this, you know, replacing the metaphor of um 1047 00:59:50,990 --> 00:59:56,190 destruction and and conquest into like herding and domestication, like dealing with the 1048 00:59:56,190 --> 01:00:01,550 living organism and and trying to understand how it evolves on its own terms and and using 1049 01:00:01,550 --> 01:00:04,910 that um to control the disease. 1050 01:00:05,710 --> 01:00:10,440 Yeah, and I we have a lot of patient advocates that we work with, and some of them just are 1051 01:00:11,080 --> 01:00:15,320 definitely very open to the the idea, especially when they've been living with the disease 1052 01:00:15,320 --> 01:00:16,040 for so long. 1053 01:00:16,280 --> 01:00:18,680 Is it it's like it's a part of me? 1054 01:00:18,840 --> 01:00:20,440 Why don't I go ahead and name it? 1055 01:00:20,520 --> 01:00:26,360 And like we're we're we're like owning this this part of who we are becoming in this stage 1056 01:00:26,360 --> 01:00:27,720 of our lives, right? 1057 01:00:28,040 --> 01:00:30,840 And so yeah, I think it can be really impactful. 1058 01:00:31,160 --> 01:00:31,560 Yeah. 1059 01:00:31,800 --> 01:00:35,400 Um, in that those are great examples of evolutionary medicine. 1060 01:00:35,560 --> 01:00:41,530 Um, how uh how how far in, how much 1061 01:00:41,530 --> 01:00:43,770 has evolutionary medicine invaded medicine? 1062 01:00:44,010 --> 01:00:48,810 Um so I mean like you know, because a lot of people talk about even things we really know 1063 01:00:48,810 --> 01:00:54,810 about, like doctors don't do, you know, like like like the basic research and that 1064 01:00:54,810 --> 01:01:00,170 getting translated to what doctors do, especially in the US, where there's lots of sort of 1065 01:01:00,720 --> 01:01:05,280 uh decisions made on sort of not getting sued as opposed to what's medically or 1066 01:01:05,280 --> 01:01:06,560 scientifically best. 1067 01:01:06,880 --> 01:01:12,720 Um do you have a sense of either just, you know, uh from the 1068 01:01:12,720 --> 01:01:18,720 historical perspective of like, is evolutionary medicine being incorporated into day 1069 01:01:18,800 --> 01:01:24,480 to day medicine, or is that still really a a tragedy and that things could be better? 1070 01:01:25,200 --> 01:01:25,840 Yeah. 1071 01:01:26,880 --> 01:01:29,600 I think I I don't think we're there yet. 1072 01:01:29,990 --> 01:01:35,670 Like when I was in grad school, it was really hard to, you know, I was the evolutionary 1073 01:01:35,670 --> 01:01:40,950 person in a a sea of, you know, people that weren't interested in the evolutionary 1074 01:01:40,950 --> 01:01:41,750 perspective. 1075 01:01:41,990 --> 01:01:47,670 And, you know, we spent most of our time explaining why evolution was useful in 1076 01:01:47,670 --> 01:01:49,030 human health, right? 1077 01:01:49,820 --> 01:01:55,180 And I I I still see that potentially the case today, with few excepts 1078 01:01:55,340 --> 01:02:01,180 exceptions, you know, um, in terms of antibiotic resistance or something, we know that the 1079 01:02:01,180 --> 01:02:02,860 bacteria are evolving. 1080 01:02:02,940 --> 01:02:08,700 And so there is some uptake of trying to understand evolutionary principles 1081 01:02:08,700 --> 01:02:09,260 for that. 1082 01:02:09,500 --> 01:02:13,980 But I think in general, it's still a completely different track. 1083 01:02:14,140 --> 01:02:17,750 It is not taught in med schools or rarely taught in med schools. 1084 01:02:17,910 --> 01:02:23,110 There's been a big push for evolutionary medicine to be more incorporated into 1085 01:02:23,350 --> 01:02:29,190 medical school um um course structures and stuff like that but and 1086 01:02:29,190 --> 01:02:33,670 then at the end of the day I've talked to a lot of physicians and this might be true like 1087 01:02:33,830 --> 01:02:38,950 they have so much on their plate that they don't care if you were inspired by evolution. 1088 01:02:39,190 --> 01:02:39,350 Right. 1089 01:02:39,510 --> 01:02:41,110 They still just want to know what's happening. 1090 01:02:44,140 --> 01:02:45,100 And so that's the thing. 1091 01:02:45,180 --> 01:02:50,380 Like, we're working on something that potentially a species in nature, like elephants are 1092 01:02:50,380 --> 01:02:51,740 really good at not getting cancer. 1093 01:02:51,900 --> 01:02:57,500 If we use that mechanism and then suddenly it works to treat human cancers, how 1094 01:02:57,500 --> 01:03:01,820 many people care that you know we were inspired by evolution? 1095 01:03:01,980 --> 01:03:07,260 Some people might, but like the the general public's like, can it treat the disease I am 1096 01:03:07,260 --> 01:03:08,540 seeing patients die of? 1097 01:03:08,780 --> 01:03:09,020 Right. 1098 01:03:09,180 --> 01:03:09,420 Right? 1099 01:03:09,580 --> 01:03:09,740 Yeah. 1100 01:03:10,060 --> 01:03:15,990 And so I think, yeah, there there's there's room for evolution in 1101 01:03:15,990 --> 01:03:20,630 the medical curriculum, but also there's there's room for maybe us to do it and then 1102 01:03:20,630 --> 01:03:25,350 provide the more practical bench side approaches that they get. 1103 01:03:25,830 --> 01:03:30,390 But I mean, still even in basic research, I mean, uh my understanding is in medicine, 1104 01:03:30,470 --> 01:03:34,630 there's still like, you know, you don't know if something's gonna become a solution to a 1105 01:03:34,630 --> 01:03:34,870 problem. 1106 01:03:35,030 --> 01:03:36,150 You just don't know, right? 1107 01:03:36,310 --> 01:03:42,120 So you have to invest in um, you know, things that and there's all kinds of 1108 01:03:42,120 --> 01:03:47,000 examples of, you know, somebody was studying some like slime mold or um, you know, like a 1109 01:03:47,000 --> 01:03:51,480 sea cucumber, and it led to like this transformative discovery. 1110 01:03:51,720 --> 01:03:57,400 Um is there enough of that kind of investment in 1111 01:03:57,640 --> 01:03:59,480 in from an evolutionary perspective? 1112 01:03:59,640 --> 01:04:02,920 Because I mean, I I I assume, or maybe it's wrong. 1113 01:04:03,000 --> 01:04:03,560 Like, I don't know. 1114 01:04:03,640 --> 01:04:07,160 Um maybe I'll maybe you're gonna tell me something that is terrifying that there's very 1115 01:04:07,160 --> 01:04:12,950 little investment in basic risky research that might have a payout. 1116 01:04:13,110 --> 01:04:13,750 I don't know. 1117 01:04:13,910 --> 01:04:14,550 Yeah. 1118 01:04:17,270 --> 01:04:17,990 Easy question. 1119 01:04:18,310 --> 01:04:20,150 Talk to talk to the grant funders. 1120 01:04:20,230 --> 01:04:22,230 Um NIH, not so much. 1121 01:04:22,630 --> 01:04:27,350 We've tried, we've been funded by the NIH to study like cancer and animals with the like 1122 01:04:27,510 --> 01:04:31,980 eye towards how do we make it, you know, into humans? 1123 01:04:32,060 --> 01:04:36,780 You know, like how do we translate what we learn from cancer across the tree of life into 1124 01:04:36,940 --> 01:04:37,340 humans? 1125 01:04:37,500 --> 01:04:42,940 It's been hard, it's been considered risky, it's been like really uh difficult 1126 01:04:43,260 --> 01:04:45,500 to provide this. 1127 01:04:45,660 --> 01:04:48,860 But same thing, we don't know what we're gonna learn in basic biology. 1128 01:04:49,020 --> 01:04:54,620 So GLP1, which is the drug everyone is obsessed with suddenly, and it's really great for 1129 01:04:54,620 --> 01:05:00,410 treating individuals with diabetes, was discovered in basic biology 1130 01:05:00,570 --> 01:05:02,170 studying the Gila monster. 1131 01:05:02,410 --> 01:05:02,890 Wow. 1132 01:05:03,130 --> 01:05:08,570 It was one single amino acid change that made it, you know, a 1133 01:05:08,570 --> 01:05:13,530 difference between the human version and that that has made a difference in human biology. 1134 01:05:13,690 --> 01:05:19,210 They were not trying to study the Gila monster to treat human and weight loss in 1135 01:05:19,210 --> 01:05:20,250 diabetes, right? 1136 01:05:20,330 --> 01:05:23,210 It was just a basic biology discovery. 1137 01:05:23,370 --> 01:05:28,760 And so I, yes, I think it's it's a shame that we don't have more funding 1138 01:05:28,760 --> 01:05:34,680 sources towards basic biology research where it's it's not so driven where you 1139 01:05:34,680 --> 01:05:37,640 have these deliverables at the at the end of the day. 1140 01:05:37,880 --> 01:05:43,560 The NSF is obviously more keen to um to 1141 01:05:43,960 --> 01:05:49,470 uh fund stuff that is on that level of basic biology and just 1142 01:05:49,470 --> 01:05:51,950 understanding a species biology. 1143 01:05:52,670 --> 01:05:56,030 But when we try and write grants for there, they're like, whoa, whoa, whoa, you're working 1144 01:05:56,030 --> 01:05:57,630 on a human disease. 1145 01:05:57,870 --> 01:05:59,550 Like go to the NIH. 1146 01:05:59,630 --> 01:06:05,310 And so unfortunately, there is like this evolutionary medicine falls into this, like 1147 01:06:05,790 --> 01:06:11,550 really in-between that ends up being left behind in many of these 1148 01:06:12,120 --> 01:06:17,960 uh programs because we were interested in evolutionary percept perspectives on 1149 01:06:17,960 --> 01:06:19,240 disease in humans. 1150 01:06:19,320 --> 01:06:20,920 And there's like, yeah. 1151 01:06:21,320 --> 01:06:22,040 That's crazy. 1152 01:06:22,200 --> 01:06:27,880 I mean it really sounds like the funding presupposes what the solution, the best way to get 1153 01:06:27,880 --> 01:06:29,000 to the solution. 1154 01:06:29,560 --> 01:06:35,530 And I imagine if you looked the probably evolutionary medicine has a much more 1155 01:06:35,530 --> 01:06:38,890 efficient track record than though these assumptions. 1156 01:06:38,970 --> 01:06:44,810 I would affect I mean we argue why are we evolution has provided a roadmap for us to 1157 01:06:44,810 --> 01:06:45,610 understand cancer. 1158 01:06:45,770 --> 01:06:48,730 There are some species that do not get much cancer at all. 1159 01:06:48,890 --> 01:06:51,050 We could almost consider them resistant. 1160 01:06:51,290 --> 01:06:54,490 Why are we not studying these more and providing so many funds? 1161 01:06:54,650 --> 01:06:57,210 They're they're mammals potentially like us. 1162 01:06:57,450 --> 01:07:01,610 It's already proven for millions and millions of years for this species. 1163 01:07:01,920 --> 01:07:05,680 how can we not translate that better into human biology? 1164 01:07:05,760 --> 01:07:10,400 So Yeah, no, natural selection is just an incredible, much much better than any 1165 01:07:10,400 --> 01:07:14,560 pharmaceutical company at creating uh substances. 1166 01:07:14,720 --> 01:07:18,000 It's had much longer, uh, much much more RD. 1167 01:07:18,320 --> 01:07:20,800 Much more RD, more RD than you'll ever have time for. 1168 01:07:20,880 --> 01:07:21,040 Yeah. 1169 01:07:21,280 --> 01:07:22,240 So it's crazy. 1170 01:07:22,320 --> 01:07:28,240 Umthough, I mean, I'm in the academic world, there are tons of startups that are 1171 01:07:28,240 --> 01:07:28,960 looking at this. 1172 01:07:29,170 --> 01:07:35,170 They're like bio-inspired medicine that are that are turning to look at species 1173 01:07:35,170 --> 01:07:40,770 for various things, not just cancer, but tons of different um health 1174 01:07:40,930 --> 01:07:42,530 issues in in humans. 1175 01:07:42,690 --> 01:07:43,170 So yeah. 1176 01:07:44,130 --> 01:07:46,210 Have you uh uh David, were you gonna say something? 1177 01:07:46,530 --> 01:07:51,580 No, I was just gonna say, like, you know, obviously we're seeing similar resistance to 1178 01:07:51,580 --> 01:07:57,100 evolutionary perspectives in the social sciences as well, uh in um psychiatry and and 1179 01:07:57,100 --> 01:07:58,300 mental health as well. 1180 01:07:58,460 --> 01:08:01,340 Um there's just the uptake is very slow. 1181 01:08:01,500 --> 01:08:05,660 Um and you know, it's obviously a big part of the reason why Dave and I have started this 1182 01:08:05,660 --> 01:08:08,700 podcast is to try to push things along in that direction. 1183 01:08:08,860 --> 01:08:10,630 Um we're about halfway there. 1184 01:08:10,710 --> 01:08:12,790 We've made a huge dent we oh yeah. 1185 01:08:12,870 --> 01:08:16,070 I mean we next next year everyone's fundamentally changed. 1186 01:08:17,670 --> 01:08:19,910 Hey you guys have a good trajectory. 1187 01:08:20,070 --> 01:08:21,350 You're getting followers. 1188 01:08:21,510 --> 01:08:21,990 It's great. 1189 01:08:22,230 --> 01:08:22,470 Yes. 1190 01:08:22,710 --> 01:08:23,430 Yes, but yes. 1191 01:08:23,510 --> 01:08:27,030 No, we're gonna the United States will be fine with evolution by like next spring, you 1192 01:08:27,030 --> 01:08:27,110 know. 1193 01:08:27,190 --> 01:08:27,830 Yeah, we'll be fine. 1194 01:08:29,640 --> 01:08:30,280 Sorry, David. 1195 01:08:30,360 --> 01:08:30,600 Go ahead. 1196 01:08:30,760 --> 01:08:33,640 Anyway, yeah, I'm just because of interjections like that. 1197 01:08:33,720 --> 01:08:39,000 That's why Yeah, we can't even get our names right in the introduction. 1198 01:08:39,320 --> 01:08:42,520 We think we're gonna change the face of American science. 1199 01:08:42,600 --> 01:08:42,840 No. 1200 01:08:43,000 --> 01:08:47,240 Um uh so yeah, I just uh I wanna know why. 1201 01:08:47,400 --> 01:08:49,320 Like why w what is the resistance? 1202 01:08:49,480 --> 01:08:53,470 I mean, I get your point that with medicine there's a certain urgency. 1203 01:08:53,630 --> 01:08:59,550 And there's a certain callousness to daydreaming about evolution when people are 1204 01:08:59,550 --> 01:09:00,350 dying, right? 1205 01:09:00,430 --> 01:09:03,390 Like there you need to get a practical solution right now. 1206 01:09:03,470 --> 01:09:07,710 And we don't have time for you to think about evolutionary theory and cancer and elephants 1207 01:09:07,790 --> 01:09:08,990 and microchimerism. 1208 01:09:09,230 --> 01:09:12,190 Like people are dying, focus on what's happening right now. 1209 01:09:12,430 --> 01:09:15,150 And like I get that perspective on an intuitive level. 1210 01:09:15,230 --> 01:09:16,590 Like I understand it. 1211 01:09:16,740 --> 01:09:21,540 Um there's a bit less of that excuse when it comes to social science and and mental health, 1212 01:09:21,700 --> 01:09:22,260 I think. 1213 01:09:22,500 --> 01:09:25,860 Um really with there, there's really no exc like excuse there. 1214 01:09:26,020 --> 01:09:30,180 Like the whole point is to understand the human condition, the human mind, uh how hum 1215 01:09:30,420 --> 01:09:35,060 humans are embedded in their social structures and how they, you know, can achieve you know 1216 01:09:35,220 --> 01:09:36,660 well-being in their lives. 1217 01:09:36,820 --> 01:09:42,610 Like I it seems like evolution should be moving at a faster pace as a 1218 01:09:42,610 --> 01:09:44,690 meta theory for encompassing that stuff. 1219 01:09:44,850 --> 01:09:45,970 Um so yeah, I don't know. 1220 01:09:46,050 --> 01:09:50,130 Uh do you have uh an intuition about why the uptake is so slow? 1221 01:09:52,370 --> 01:09:58,370 I think one, there isn't good, and we know this in this country, um, an evolutionary 1222 01:09:58,370 --> 01:10:02,770 perspective in general in in in our education. 1223 01:10:03,780 --> 01:10:04,100 Right. 1224 01:10:04,340 --> 01:10:09,060 Like, I don't like if you go and I the difference is shocking. 1225 01:10:09,220 --> 01:10:15,220 If I have colleagues working in the UK, and they I feel like 1226 01:10:15,220 --> 01:10:20,500 culturally they have a more naturalistic upbringing in their education, where they 1227 01:10:20,820 --> 01:10:26,710 everyone, even if you're not teaching evolution, is it's kind of embedded 1228 01:10:26,710 --> 01:10:27,670 a bit more. 1229 01:10:27,910 --> 01:10:32,870 And I think there is just such a a divide in the US about even 1230 01:10:33,350 --> 01:10:36,230 talking about evolution and and bringing it in. 1231 01:10:36,310 --> 01:10:38,550 And like it's it's it's huge. 1232 01:10:38,710 --> 01:10:40,070 But I see these differences. 1233 01:10:40,230 --> 01:10:45,830 Like when I talk to, you know, individuals in the UK about like, oh, 1234 01:10:45,990 --> 01:10:49,670 species evolution at the zoo and like all like it's just, yeah, it's the same. 1235 01:10:49,750 --> 01:10:52,460 And then you come here and like it's it's a mess. 1236 01:10:52,540 --> 01:10:56,620 Like no no one agrees or says you can't say that or you can't do this. 1237 01:10:56,700 --> 01:10:58,300 And so I I don't know. 1238 01:10:58,380 --> 01:11:04,300 I wonder if some of it is um how we educate 1239 01:11:04,300 --> 01:11:09,420 our children and how that is culturally different from the US and other 1240 01:11:09,420 --> 01:11:11,020 countries as well. 1241 01:11:11,580 --> 01:11:17,290 Um I yeah, I I don't know why it's such a struggle to 1242 01:11:17,290 --> 01:11:22,650 get evolution in more mainstream thinking. 1243 01:11:23,370 --> 01:11:28,890 I mean, I guess the other thing is there's obviously people who have done things that made 1244 01:11:28,890 --> 01:11:33,610 it harder for us by by misusing it, right? 1245 01:11:34,020 --> 01:11:38,820 By misusing how evolution works in in in various ways. 1246 01:11:38,980 --> 01:11:44,660 We see this, you know, today with um people on platforms saying that like, 1247 01:11:44,820 --> 01:11:49,700 oh, this is how you should eat or this is how you should think, because evolutionarily 1248 01:11:49,780 --> 01:11:54,980 that's what we're like made to do, you know, and that's not evolutionary medicine either. 1249 01:11:55,700 --> 01:11:57,780 Eat a pound of bacon, eat a pound of bacon, yeah. 1250 01:11:57,940 --> 01:12:00,820 Yeah, like and so that's problematic. 1251 01:12:01,150 --> 01:12:07,150 You have these these misguided efforts that use evolution 1252 01:12:07,150 --> 01:12:10,430 as an excuse for terrible things. 1253 01:12:10,670 --> 01:12:11,710 So yeah. 1254 01:12:11,870 --> 01:12:13,390 No, it's I mean, that's totally true. 1255 01:12:13,470 --> 01:12:17,550 I mean, but you also see that in like general, there's like pseudoscience in general. 1256 01:12:17,950 --> 01:12:21,870 There's perversions of of mainstream science, but it doesn't tarnish our image of science 1257 01:12:21,870 --> 01:12:24,960 itself when a few crackpots have some stupid ideas. 1258 01:12:25,120 --> 01:12:29,360 But when a few crackpots and the evolutionary sciences have some stupid ideas, then it it 1259 01:12:29,360 --> 01:12:33,120 somehow tarnishes the entire evolutionary perspective in a way that it doesn't for other 1260 01:12:33,120 --> 01:12:33,520 sciences. 1261 01:12:33,600 --> 01:12:34,000 I don't know. 1262 01:12:34,080 --> 01:12:35,600 I really don't know why that is. 1263 01:12:43,310 --> 01:12:47,310 I mean like people it does tarnish science a little bit like going back to Jurassic Park I 1264 01:12:47,310 --> 01:12:52,670 mean there's like there there's been like 33 decades of like anti-science propaganda movies 1265 01:12:52,750 --> 01:12:58,030 I mean or like you know or like reasonably enough like for people or like you know the the 1266 01:12:58,030 --> 01:13:02,430 Jurassic Park quote of like you were spending so much time thinking about if you should you 1267 01:13:02,430 --> 01:13:06,880 didn't think about or if you could I totally butchered that I think I should edit that out. 1268 01:13:08,000 --> 01:13:12,240 Yeah, the the the Ian Malcolm line of like you spent so much time thinking if you could, 1269 01:13:12,400 --> 01:13:14,080 you didn't spend any time thinking if you should, right? 1270 01:13:14,240 --> 01:13:19,520 Like that's that's a yes, you know, especially in like a very like we people have been the 1271 01:13:19,520 --> 01:13:25,520 victims of all kinds of right research, uh especially in the US, um 1272 01:13:25,680 --> 01:13:26,960 in the 20th century. 1273 01:13:27,040 --> 01:13:29,520 Like that's pretty historically documented, yeah. 1274 01:13:30,080 --> 01:13:33,950 And I just think it's so hard to get misinformation away once it's tarnished. 1275 01:13:34,030 --> 01:13:38,350 I guess the other one, like once it hits mainstream, and I think evolutionary psychology 1276 01:13:38,590 --> 01:13:43,150 and all that is sexy enough where it hits mainstream, and then you you really can't. 1277 01:13:43,310 --> 01:13:49,070 And another relevant one that also hit mainstream that is completely not true is like 1278 01:13:49,230 --> 01:13:51,150 the vaccines cause autism. 1279 01:13:51,390 --> 01:13:51,550 Yeah. 1280 01:13:51,710 --> 01:13:56,860 That researcher and Andrew Wakefield lost his license and was like, Yeah, I made that all 1281 01:13:56,860 --> 01:13:57,020 up. 1282 01:13:57,180 --> 01:14:00,300 And people like, yeah, you can read all about it. 1283 01:14:00,460 --> 01:14:05,500 There's books, there's all this information to prove that that is not true. 1284 01:14:06,300 --> 01:14:09,020 Yet here we are, and that's tarnished the field. 1285 01:14:09,100 --> 01:14:15,020 There's such hesitant, hesit hesitancy in in vaccine research, 1286 01:14:15,340 --> 01:14:17,500 vaccine dis distribution. 1287 01:14:17,740 --> 01:14:18,780 Um, yeah. 1288 01:14:18,940 --> 01:14:19,340 Yeah. 1289 01:14:19,580 --> 01:14:22,140 I think there's these these sticky topics. 1290 01:14:22,380 --> 01:14:22,620 Yeah. 1291 01:14:22,700 --> 01:14:23,260 Yeah. 1292 01:14:23,710 --> 01:14:25,070 Although I yeah. 1293 01:14:25,230 --> 01:14:30,190 And I guess that's like a for for another episode where we talk about conspiracies and um 1294 01:14:30,910 --> 01:14:33,390 redirection of the people who are out to get you. 1295 01:14:33,630 --> 01:14:39,310 Often the people who are exploiting people are incentivized to have another set of people 1296 01:14:39,630 --> 01:14:42,430 being the scapegoats of who's exploiting the people. 1297 01:14:42,510 --> 01:14:42,750 Yeah. 1298 01:14:42,990 --> 01:14:43,310 Yeah. 1299 01:14:43,550 --> 01:14:48,600 And it might it might very well be fields most vulnerable where you get this confirmation 1300 01:14:48,600 --> 01:14:49,240 bias. 1301 01:14:49,800 --> 01:14:50,120 Right. 1302 01:14:50,280 --> 01:14:54,840 Like we're really bad at that, where it's like, oh yeah, I knew, yep. 1303 01:14:55,080 --> 01:14:58,680 I knew a a child that got a vaccine and like, yep. 1304 01:14:58,840 --> 01:15:00,040 So yes, that's true. 1305 01:15:00,120 --> 01:15:05,400 And maybe very similar for things in evolutionary psychology where people are like, Yeah, I 1306 01:15:05,400 --> 01:15:07,880 know like that that that makes sense to me. 1307 01:15:07,960 --> 01:15:13,930 And like there other things maybe are not so vulnerable to these confirmation biases 1308 01:15:14,010 --> 01:15:19,290 and so then don't have such a controversy around them, right? 1309 01:15:19,450 --> 01:15:21,930 Where you can't get rid of that misinformation. 1310 01:15:22,250 --> 01:15:23,690 Yeah, that's really interesting. 1311 01:15:23,850 --> 01:15:26,250 Uh Amy, you're it's just a slightly changed topic. 1312 01:15:26,410 --> 01:15:30,170 You you're in an anthropology department, but you kind of talked at the beginning about 1313 01:15:30,170 --> 01:15:35,130 sort of feeling like you're not you're not in any one or you sort of have a um yeah. 1314 01:15:35,290 --> 01:15:39,340 Um how did you so what is that like? 1315 01:15:39,420 --> 01:15:43,900 And do you do you do like collaborations with people in the field? 1316 01:15:44,060 --> 01:15:48,620 Or um and then also uh another question, I don't know, I'm asking you two different 1317 01:15:48,620 --> 01:15:49,580 questions all the time. 1318 01:15:49,660 --> 01:15:53,580 But uh the other question is you mentioned you were originally like in medical school. 1319 01:15:53,740 --> 01:15:55,820 Did you know you wanted to do evolution? 1320 01:15:55,980 --> 01:16:01,910 Like, how did you get um like I maybe it's the same question, which is sort 1321 01:16:01,910 --> 01:16:05,190 of like how did you get to where you are and where are you now? 1322 01:16:05,430 --> 01:16:09,430 And are you do you still feel like you don't quite fit anywhere? 1323 01:16:09,670 --> 01:16:13,990 Um is that next question. 1324 01:16:14,070 --> 01:16:14,310 Yeah. 1325 01:16:14,630 --> 01:16:14,790 Yeah. 1326 01:16:15,590 --> 01:16:16,150 Ah no. 1327 01:16:16,390 --> 01:16:20,550 No, I um I had no idea what I was doing in undergrad. 1328 01:16:20,950 --> 01:16:26,840 Like I went to a community college, was like, I like biology, went on to 1329 01:16:26,920 --> 01:16:32,920 like you know, um, a university, um, still didn't know what I wanted to do. 1330 01:16:33,000 --> 01:16:37,400 So I was like, I should apply to grad school because then I can be a forever student and 1331 01:16:37,400 --> 01:16:41,240 not have to deal with uh adult life stuff. 1332 01:16:41,480 --> 01:16:47,320 And so I I did know that I wanted to work with humans and humans somehow. 1333 01:16:47,560 --> 01:16:53,250 Um, And actually, when I was in undergrad, I was struggling between biology and then 1334 01:16:53,250 --> 01:16:54,770 anthropology, right? 1335 01:16:55,010 --> 01:17:01,010 Because all of my biology classes were like biology of plants and, you know, like 1336 01:17:01,010 --> 01:17:06,450 things that just didn't excite me in the same way human biology excited me. 1337 01:17:06,930 --> 01:17:11,090 And then when you want to study human biology, a lot of times you have to be in a med 1338 01:17:11,090 --> 01:17:11,730 school to study. 1339 01:17:12,610 --> 01:17:15,890 We really do separate our fields a little weird. 1340 01:17:15,970 --> 01:17:20,540 So we're using the same principles when we study ecology and all of this stuff, but like 1341 01:17:20,540 --> 01:17:23,740 humans, we put them in a different room, a different school. 1342 01:17:23,900 --> 01:17:25,580 It's a silo effect. 1343 01:17:25,740 --> 01:17:30,140 Um and so just on luck, I applied um to get my PhD. 1344 01:17:30,220 --> 01:17:35,660 It was still locally, there was no necessarily rhyme or reason to why I went to the school 1345 01:17:35,660 --> 01:17:38,780 I went to other than I had to stay in the Detroit area. 1346 01:17:39,660 --> 01:17:45,450 And so but there I I my mind became more open to evolutionary 1347 01:17:45,450 --> 01:17:45,850 biology. 1348 01:17:45,930 --> 01:17:47,290 I'd already taken classes. 1349 01:17:47,450 --> 01:17:52,170 There was a there was a faculty member there kind of looking at evolutionary principles to 1350 01:17:52,170 --> 01:17:52,890 cancer already. 1351 01:17:53,050 --> 01:17:55,930 There was another one looking at evolutionary the placenta. 1352 01:17:56,090 --> 01:18:02,010 Like all of this was kind of feeding through my graduate experience in terms 1353 01:18:02,010 --> 01:18:07,450 of, and then of course, uh Randy Nessie at the time, who was one of the big drivers of the 1354 01:18:07,450 --> 01:18:09,050 field of evolutionary medicine. 1355 01:18:09,290 --> 01:18:10,570 So I was in Detroit. 1356 01:18:10,720 --> 01:18:13,040 Um, he was in um Ann Arbor. 1357 01:18:13,360 --> 01:18:16,560 So that was just an hour away from where we were. 1358 01:18:16,720 --> 01:18:21,520 And so we as grad students would all drive up when he had evolutionary medicine seminars 1359 01:18:21,520 --> 01:18:22,800 and watch them. 1360 01:18:22,960 --> 01:18:28,800 And so, and that's where we were all like, whoa, this putting it together is just so 1361 01:18:28,800 --> 01:18:29,360 cool. 1362 01:18:29,520 --> 01:18:34,560 And so, yeah, from there I went to do a postdoc and we ended up at like the Department of 1363 01:18:34,560 --> 01:18:40,550 Surgery, but it was at such a very specific Posting about studying life 1364 01:18:40,550 --> 01:18:43,510 history theory in cancer biology. 1365 01:18:43,750 --> 01:18:49,110 And I just thought I I I wanted that opportunity and I was able to get it. 1366 01:18:49,190 --> 01:18:52,310 And yeah, so it's kind of where I went. 1367 01:18:52,470 --> 01:18:57,030 And so yeah, I there was in the Department of Surgery, and then we went at Arizona State 1368 01:18:57,030 --> 01:18:57,670 University. 1369 01:18:57,990 --> 01:19:03,340 Um, we were kind of split between various departments, and there was a center for 1370 01:19:03,340 --> 01:19:04,620 evolutionary medicine there. 1371 01:19:04,780 --> 01:19:07,420 So, but yeah, I think anthropology does all that. 1372 01:19:07,580 --> 01:19:12,620 That's why it's accepting of evolutionary medicine, is that anthropology is already this 1373 01:19:12,620 --> 01:19:17,500 very broad field that has to take many different perspectives and kind of mush it all 1374 01:19:17,500 --> 01:19:19,020 together to understand humans. 1375 01:19:19,100 --> 01:19:23,340 We're we're understanding social circles, we're understanding culture, we look at the 1376 01:19:23,340 --> 01:19:27,950 biology, we look at evolutionary history, we're kind of adding all that in. 1377 01:19:28,270 --> 01:19:29,630 And so yeah. 1378 01:19:30,030 --> 01:19:30,750 Yeah, that's cool. 1379 01:19:30,830 --> 01:19:36,670 And do you feel like um is the UCSB anthro department um uh 1380 01:19:36,910 --> 01:19:42,910 in terms of the biology, hum the human biology, is that sort of a strength in 1381 01:19:42,910 --> 01:19:43,630 that department? 1382 01:19:43,790 --> 01:19:45,470 Or yeah, I think so. 1383 01:19:45,550 --> 01:19:49,320 I there's there's many times where the the students are like, this is biology. 1384 01:19:49,480 --> 01:19:50,600 And I'm like, yes. 1385 01:19:52,520 --> 01:19:56,520 I hate that when it's like when you say you're a biological anthropologist, they think 1386 01:19:56,520 --> 01:20:01,480 you're less of both somehow, you know, like, you know, like the oh, you combined them, 1387 01:20:01,560 --> 01:20:05,720 you're a hybrid, you're like one of those bikes that can't go like fast on the road, but 1388 01:20:05,720 --> 01:20:11,560 also is bad at climbing a mountain, you know, like but no, it's like a lot of us are 1389 01:20:11,930 --> 01:20:13,050 human biologists. 1390 01:20:13,130 --> 01:20:14,090 We are biologists. 1391 01:20:14,250 --> 01:20:15,370 We have wet labs. 1392 01:20:15,450 --> 01:20:19,370 We have like NIH funding, but also we're studying humans. 1393 01:20:19,450 --> 01:20:21,450 So we're in the anthropology department. 1394 01:20:21,530 --> 01:20:24,650 And actually, a lot of the biology is conserved. 1395 01:20:24,890 --> 01:20:29,770 So when I'm teaching genetics, yes, you're learning fruit fly genetics that will eventually 1396 01:20:29,770 --> 01:20:31,770 get to human genetics, but yeah. 1397 01:20:32,010 --> 01:20:36,490 A lot of the the the stuff is conserved biology across systems. 1398 01:20:36,730 --> 01:20:36,970 Yeah. 1399 01:20:37,300 --> 01:20:41,940 We we had a recent episode where we haven't released it yet at the time of our recording 1400 01:20:41,940 --> 01:20:43,380 right now about the microbiome. 1401 01:20:43,780 --> 01:20:48,580 And that was a case where people's microbiomes, if you look at sort of um more 1402 01:20:48,740 --> 01:20:54,420 evolutionarily um EA-ish um people, you know, hunter 1403 01:20:54,420 --> 01:20:58,820 horticulturist, hunter gatherers, their microbiomes look very different than like a Western 1404 01:20:59,700 --> 01:21:05,430 modern um is what you study a case where there's less of a sort of 1405 01:21:05,430 --> 01:21:08,950 mismatchy thing, or do you think there still might be mismatchy stuff? 1406 01:21:09,030 --> 01:21:14,790 Like, I mean, obviously breastfeeding, um, the the the an absence of breastfeeding 1407 01:21:15,030 --> 01:21:20,950 or um or like a reduced amount of maternal per leave or um or 1408 01:21:20,950 --> 01:21:23,510 maybe c sections that are planned. 1409 01:21:23,670 --> 01:21:24,220 I don't know. 1410 01:21:24,300 --> 01:21:28,700 Like, is that something you've thought about, or is there potential mismatch-y kind of 1411 01:21:28,700 --> 01:21:28,860 things? 1412 01:21:28,940 --> 01:21:33,820 Or are we doing things to violate the good assumptions of these systems that we might not 1413 01:21:33,820 --> 01:21:38,060 know and inadvertently maybe making our ourselves less healthy, for example? 1414 01:21:38,460 --> 01:21:39,100 Yeah. 1415 01:21:39,500 --> 01:21:39,980 Yeah. 1416 01:21:41,420 --> 01:21:46,140 I yes, mismatch is very much a part of what we're studying. 1417 01:21:46,300 --> 01:21:50,990 Um in the cancer point of view, I think of mismatch of a long history. 1418 01:21:51,150 --> 01:21:53,150 So we're looking at cancer and chimpanzees. 1419 01:21:53,310 --> 01:21:56,510 What do they get compared to what humans get, right? 1420 01:21:56,670 --> 01:22:00,510 So it's a broader mismatch in terms of that a little bit. 1421 01:22:01,150 --> 01:22:05,950 And it's interesting, we're seeing very different patterns of cancer in our closest living 1422 01:22:05,950 --> 01:22:06,590 relatives. 1423 01:22:06,830 --> 01:22:08,670 So, like what's going on there? 1424 01:22:08,830 --> 01:22:11,550 And then, yeah, with with the pregnancy stuff, same thing. 1425 01:22:11,710 --> 01:22:14,350 Yeah, like mismatch in terms of C-sections. 1426 01:22:14,430 --> 01:22:17,700 We see maybe more spillover of fetal cells. 1427 01:22:18,820 --> 01:22:21,780 So there's there's some there's some consequences. 1428 01:22:21,940 --> 01:22:27,940 Also, yeah, breastfeeding in in general, thinking about it from a a mismatch point of 1429 01:22:27,940 --> 01:22:33,940 view in terms of how much you're doing, but also thinking about breastfeeding 1430 01:22:33,940 --> 01:22:39,790 from a maternal fetal conflict kind of view, it's it's interesting because we always 1431 01:22:39,950 --> 01:22:44,830 we always say like you know breastfeeding is the best, you know, and the longest is best 1432 01:22:44,830 --> 01:22:47,150 for the infant, infant, infant focused. 1433 01:22:47,390 --> 01:22:48,670 What's best for the mother? 1434 01:22:48,910 --> 01:22:54,350 How long should the mother breastfeed for her own best 1435 01:22:54,590 --> 01:22:55,870 health and interest? 1436 01:22:56,030 --> 01:22:59,980 And that is that's missing in our narrative completely. 1437 01:23:00,300 --> 01:23:06,220 Um and there could be a trade-off at some point where the breastfeeding is still 1438 01:23:06,220 --> 01:23:11,020 great for the infant, but actually it's not good for the mom anymore because it is a 1439 01:23:11,020 --> 01:23:12,060 biological process. 1440 01:23:12,220 --> 01:23:14,380 It has a demand on the maternal body. 1441 01:23:14,540 --> 01:23:15,660 It's inflammatory. 1442 01:23:15,740 --> 01:23:17,580 It's got all these other things going on. 1443 01:23:17,740 --> 01:23:18,620 So yeah. 1444 01:23:18,940 --> 01:23:19,420 Yeah. 1445 01:23:19,740 --> 01:23:20,300 Cool. 1446 01:23:20,590 --> 01:23:25,630 Yeah, that's one of the great um insights of the evolutionary perspective, which is it 1447 01:23:25,630 --> 01:23:26,990 focuses you on trade-offs. 1448 01:23:27,070 --> 01:23:31,870 So even if something is good for the infant, that doesn't necessarily mean it's going to be 1449 01:23:31,870 --> 01:23:32,830 good for mom. 1450 01:23:33,070 --> 01:23:34,190 Uh you know. 1451 01:23:34,430 --> 01:23:37,390 So I I I think that's a really important insight. 1452 01:23:37,710 --> 01:23:42,420 Um I'm curious, I when I was looking over your uh your research, I saw something called 1453 01:23:42,420 --> 01:23:44,420 Pito or Pedo's paradox. 1454 01:23:44,980 --> 01:23:46,100 I don't know how it's pronounced. 1455 01:23:46,180 --> 01:23:47,780 Uh I'm cu I I don't know what that is. 1456 01:23:47,860 --> 01:23:49,060 I'd like to learn about what it is. 1457 01:23:49,140 --> 01:23:50,820 I like a good paradox. 1458 01:23:51,140 --> 01:23:51,380 Yes. 1459 01:23:51,460 --> 01:23:57,300 Um The thing about paradoxes 1460 01:23:57,300 --> 01:23:58,580 is they're very no. 1461 01:23:58,820 --> 01:24:03,140 Um yeah, it's it's Pedo's paradox and this is great. 1462 01:24:03,300 --> 01:24:06,470 Um this is was proposed in the 70s. 1463 01:24:06,550 --> 01:24:08,950 It was an epidemiologist, Richard Pito. 1464 01:24:09,430 --> 01:24:11,110 Um, he was studying cancer evolution. 1465 01:24:11,590 --> 01:24:17,590 Cancer um is such an interesting case study for you know 1466 01:24:18,230 --> 01:24:21,830 how technology really shifted the field. 1467 01:24:22,070 --> 01:24:26,150 Because I think in the 70s we knew cancer evolved, right? 1468 01:24:26,310 --> 01:24:31,520 And cancer cells evolved, and there's these evolutionary principles of cancer. 1469 01:24:31,680 --> 01:24:35,920 And then within the 80s and 90s, we're all just decided that we're going to sequence 1470 01:24:35,920 --> 01:24:38,880 everything and try and find the cancer gene and the genetics. 1471 01:24:38,960 --> 01:24:42,160 And then we got really too detailed, right? 1472 01:24:42,320 --> 01:24:47,760 Instead of looking at this big holistic picture and trying to fundamentally understand that 1473 01:24:47,760 --> 01:24:51,360 each cancer is different and it's a whole bunch of different mutation signatures. 1474 01:24:51,440 --> 01:24:53,360 And it's like this emergent property. 1475 01:24:53,440 --> 01:24:58,510 We went very molecular, and now we're kind of spit out on the other end where we're back to 1476 01:24:58,510 --> 01:25:02,990 this, like, oh, we went that route and actually we got to go more holistic. 1477 01:25:03,150 --> 01:25:05,230 But in the 70s, it was so amazing. 1478 01:25:05,390 --> 01:25:11,150 Richard Pito observed that elephants have a hundred more cells in humans. 1479 01:25:11,390 --> 01:25:17,310 If cancer is a disease of cell division and cell mutation, 1480 01:25:17,630 --> 01:25:20,990 shouldn't species that have more cells have more cancer? 1481 01:25:21,520 --> 01:25:25,920 But what I'm seeing is humans have a lot more cancer than elephants. 1482 01:25:26,080 --> 01:25:29,200 Not all elephants are dropping dead of cancer, right? 1483 01:25:29,440 --> 01:25:31,200 So what's going on there? 1484 01:25:31,360 --> 01:25:37,280 And the idea is they must have evolved more cancer defense mechanisms 1485 01:25:37,280 --> 01:25:43,120 than humans, at least, in order to maintain their soma and maintain the amount of 1486 01:25:43,120 --> 01:25:45,840 cells that they have for a really long time, too. 1487 01:25:45,920 --> 01:25:48,080 They can live into their 60s, right? 1488 01:25:48,610 --> 01:25:51,330 Um, so they have this huge body in Soma. 1489 01:25:52,690 --> 01:25:54,770 Um, and so that was proposed. 1490 01:25:54,930 --> 01:25:58,770 And then, okay, so do we test how do we test this? 1491 01:25:58,930 --> 01:26:02,210 And so we worked with actually a bunch of zoos. 1492 01:26:02,610 --> 01:26:05,330 Um, and that's that was a wild ride. 1493 01:26:05,410 --> 01:26:11,330 Um, because um just different zoos have different protocols, but they all have like 1494 01:26:11,410 --> 01:26:16,920 I remember just calling zoos and being like, Do you have data on on cancer and your 1495 01:26:16,920 --> 01:26:17,320 animals? 1496 01:26:17,400 --> 01:26:18,680 And they're like, oh yeah, yeah, yeah. 1497 01:26:18,760 --> 01:26:22,760 We could we could work with you and you just gotta fill out a research proposal. 1498 01:26:23,000 --> 01:26:25,400 Um, what species do you want to work on? 1499 01:26:25,480 --> 01:26:27,080 And I said, all of them. 1500 01:26:27,400 --> 01:26:30,360 And they would they were like, no, you can't. 1501 01:26:30,680 --> 01:26:31,640 It was like silence. 1502 01:26:32,040 --> 01:26:36,680 Yeah, they're like, no, we don't have the the infrastructure re um to look at that. 1503 01:26:36,760 --> 01:26:40,440 But we eventually started working with a bunch, like it got it got easier. 1504 01:26:40,680 --> 01:26:42,370 Um, and then we tested that. 1505 01:26:42,530 --> 01:26:44,530 Do elephants actually get less cancer? 1506 01:26:44,610 --> 01:26:47,330 Because this was just a really elegant theory, right? 1507 01:26:47,490 --> 01:26:48,210 And I love this. 1508 01:26:48,290 --> 01:26:52,290 I love this is why we need more theory in this kind of work. 1509 01:26:52,450 --> 01:26:53,010 And they do. 1510 01:26:53,170 --> 01:26:55,410 They do, they still get cancer. 1511 01:26:55,730 --> 01:26:56,050 Okay. 1512 01:26:57,170 --> 01:27:03,020 But all else being equal for the amount of cells they have, they get less than 1513 01:27:03,020 --> 01:27:05,980 what is predicted based on humans. 1514 01:27:06,140 --> 01:27:11,900 And then we um a colleagues of mine sequenced their genome and discovered there's a 1515 01:27:11,900 --> 01:27:13,260 gene that we get. 1516 01:27:13,420 --> 01:27:17,500 We have one copy of this gene, two alleles, one from our mom, one from our dad. 1517 01:27:17,740 --> 01:27:23,580 And it's called P53, and it's tagline the guardian of the genome. 1518 01:27:23,820 --> 01:27:24,140 Okay. 1519 01:27:24,620 --> 01:27:29,350 So if you get a mutation, it turns on and it makes decisions. 1520 01:27:29,510 --> 01:27:30,470 Does the cell die? 1521 01:27:30,710 --> 01:27:31,430 Do we fix it? 1522 01:27:31,590 --> 01:27:32,710 Do we do all these things? 1523 01:27:32,790 --> 01:27:34,150 It's a central feature. 1524 01:27:34,230 --> 01:27:35,430 It's highly conserved. 1525 01:27:35,510 --> 01:27:36,630 It's an important gene. 1526 01:27:36,870 --> 01:27:37,910 So we have two copies. 1527 01:27:37,990 --> 01:27:43,910 It seems like elephants have um 40 copies, potentially, up to that many. 1528 01:27:44,150 --> 01:27:46,630 Um, and so that was a really neat discovery. 1529 01:27:46,710 --> 01:27:50,470 It's like, oh, this may be why they get less cancer. 1530 01:27:50,550 --> 01:27:52,470 They have extras of this gene. 1531 01:27:52,630 --> 01:27:58,480 This gene is also, um, if it's mutated, um, it's mutated in about 1532 01:27:58,480 --> 01:28:00,960 70% of cancers, I think, is the estimate. 1533 01:28:01,120 --> 01:28:03,280 So if it gets knocked out, that's pretty bad. 1534 01:28:03,360 --> 01:28:08,320 But if you're an elephant and one gets knocked out and you have backup copies, that might 1535 01:28:08,320 --> 01:28:09,120 just be fine. 1536 01:28:09,280 --> 01:28:10,080 So yeah. 1537 01:28:10,240 --> 01:28:15,200 It's a really good example of theory driven, how efficient theory driven is because if you 1538 01:28:15,200 --> 01:28:20,000 were just like, well, well, what's the chance that you would just what are all the genes 1539 01:28:20,000 --> 01:28:23,050 you could genotype in an elephant or any onion. 1540 01:28:23,370 --> 01:28:23,450 Right. 1541 01:28:24,090 --> 01:28:29,290 So if you just did like blind brute empiricism, the sun would explode by the time you made 1542 01:28:29,290 --> 01:28:30,010 this discovery. 1543 01:28:30,170 --> 01:28:30,330 Yeah. 1544 01:28:30,650 --> 01:28:31,050 Yes. 1545 01:28:31,210 --> 01:28:31,530 Yes. 1546 01:28:31,690 --> 01:28:32,250 Yes. 1547 01:28:33,210 --> 01:28:34,330 More funding is needed, yeah. 1548 01:28:34,410 --> 01:28:38,010 For theory, evolutionary theory in medicine. 1549 01:28:38,570 --> 01:28:43,690 So is the paradox that we would expect more cancer in organisms with more cells because 1550 01:28:43,690 --> 01:28:47,850 there are more opportunities for cancer to evolve given that there are more cell divisions 1551 01:28:47,850 --> 01:28:49,530 and more mutation opportunities. 1552 01:28:49,740 --> 01:28:52,140 and the fact that we don't see that is the paradox. 1553 01:28:52,380 --> 01:28:53,100 Yes, correct. 1554 01:28:53,340 --> 01:28:53,660 Got it. 1555 01:28:53,900 --> 01:28:57,820 Thank you for vocalizing that because it gets a little bit confusing because everyone's 1556 01:28:57,820 --> 01:28:59,820 like proving P Pito's paradox. 1557 01:28:59,900 --> 01:29:05,100 And then like they're like, but wait, did we prove like how do we prove a paradox? 1558 01:29:05,340 --> 01:29:10,540 Like so there's been all this like and then there's just been a little nuance because as 1559 01:29:10,540 --> 01:29:16,150 more data's come out, it does seem like Body size does matter in certain law 1560 01:29:16,150 --> 01:29:21,910 larger animals might have might have an increased risk of cancer. 1561 01:29:22,070 --> 01:29:27,510 Like it's a very small effect, but we really like we're talking about such small numbers 1562 01:29:27,510 --> 01:29:27,750 here. 1563 01:29:27,910 --> 01:29:33,430 And again, it's not as much as expected for an animal with the many cells they have. 1564 01:29:33,590 --> 01:29:36,310 And so um it's yeah. 1565 01:29:36,630 --> 01:29:37,030 Yeah. 1566 01:29:38,340 --> 01:29:39,140 Is there anything to this? 1567 01:29:39,220 --> 01:29:44,260 I I remember reading something, it was like a Scott Alexander Blanc post about how uh one 1568 01:29:44,260 --> 01:29:48,180 reason why whales don't have uh a lot of cancer is that they're so big that their cancer 1569 01:29:48,180 --> 01:29:48,980 gets cancer. 1570 01:29:49,300 --> 01:29:52,740 Is that is that totally uh a dumb idea that has been a little bit more than that? 1571 01:29:52,980 --> 01:29:55,300 It's not it's not that dumb of an idea. 1572 01:29:55,460 --> 01:30:01,370 And I I you know, if cancer cells evolve, they mutate and there there's lots of death and 1573 01:30:01,370 --> 01:30:05,770 selection, and sometimes cancers can collapse in on itself, right? 1574 01:30:06,010 --> 01:30:08,970 And so the idea that that's an idea that's out there. 1575 01:30:09,130 --> 01:30:15,050 There's very little research on whale cancer because they live 1576 01:30:15,050 --> 01:30:19,690 in the ocean and when they die, they end up at the bottom of the ocean. 1577 01:30:19,770 --> 01:30:22,570 So we don't have a lot of research. 1578 01:30:22,810 --> 01:30:28,800 We have our group has looked at the P53 gene in whales to see if they've expanded it 1579 01:30:28,960 --> 01:30:30,640 too, and they haven't. 1580 01:30:31,360 --> 01:30:36,160 But we do think they live too, some of the these whale species live 200 years. 1581 01:30:36,560 --> 01:30:41,360 We can we can guess, we can guess from that lifespan that they're pretty good at not 1582 01:30:41,360 --> 01:30:42,400 getting cancer. 1583 01:30:42,640 --> 01:30:42,880 Yeah. 1584 01:30:43,040 --> 01:30:44,720 Um, what are the mechanisms? 1585 01:30:44,880 --> 01:30:49,680 That's what's really exciting, actually, about a comparative approach is like there's not 1586 01:30:49,680 --> 01:30:50,960 just one solution. 1587 01:30:51,290 --> 01:30:51,530 Yeah. 1588 01:30:51,770 --> 01:30:51,930 Right. 1589 01:30:52,010 --> 01:30:54,410 So elephants have the P53 solution. 1590 01:30:54,650 --> 01:30:55,370 Whales don't. 1591 01:30:55,450 --> 01:30:56,170 What's their solution? 1592 01:30:56,330 --> 01:31:01,690 What if P53 is not very translatable to human, you know, cancer 1593 01:31:01,850 --> 01:31:02,970 therapeutics? 1594 01:31:03,130 --> 01:31:08,970 There's still like a hot, there's such vast biodiversity that we could we could look 1595 01:31:08,970 --> 01:31:14,970 at beyond um elephants and even beyond whales, potentially, um, in terms 1596 01:31:14,970 --> 01:31:15,290 of that. 1597 01:31:15,530 --> 01:31:16,570 So yeah. 1598 01:31:16,810 --> 01:31:20,650 Um, but no, it's not a stupid idea to think maybe the cancer gave cancer too. 1599 01:31:20,810 --> 01:31:23,700 Like we just haven't been able to cool. 1600 01:31:23,780 --> 01:31:24,580 It's such a fun idea. 1601 01:31:24,820 --> 01:31:26,180 I'm glad I'm glad there's some truth to it. 1602 01:31:27,300 --> 01:31:30,660 No one's been able to test it or or prove it. 1603 01:31:30,820 --> 01:31:35,460 We have all of you know, again, we're still in the theory based for for that kind of stuff. 1604 01:31:35,620 --> 01:31:36,260 But yeah. 1605 01:31:36,580 --> 01:31:40,420 Still though, I mean it's it's an incredible sales pitch for the evolutionary perspective 1606 01:31:40,500 --> 01:31:44,820 in that um there's literally something like, you know, a a bunch of different mini cures 1607 01:31:44,820 --> 01:31:47,780 for cancer out there in the animal kingdom that we just don't know about. 1608 01:31:47,940 --> 01:31:53,510 Uh and like that in itself should be the best sales pitch you could ever get for studying 1609 01:31:53,510 --> 01:31:55,910 humans in a in a comparative evolutionary context. 1610 01:31:56,310 --> 01:31:56,950 Yeah. 1611 01:31:57,270 --> 01:31:57,670 Yeah. 1612 01:31:57,830 --> 01:32:03,670 There's I mean there's debates and we we could go on about like what's the 1613 01:32:03,670 --> 01:32:08,470 best species to study, but we tr we always try and stick within mammals because we we hope 1614 01:32:08,470 --> 01:32:10,390 that that might be the most translatable. 1615 01:32:10,470 --> 01:32:13,190 But yeah, there's some really neat species out there. 1616 01:32:13,270 --> 01:32:15,910 Like have you ever heard of the Greenland shark? 1617 01:32:16,340 --> 01:32:16,660 No. 1618 01:32:16,900 --> 01:32:18,020 Is it blind? 1619 01:32:18,740 --> 01:32:19,540 I think so. 1620 01:32:19,780 --> 01:32:20,020 Okay. 1621 01:32:20,100 --> 01:32:20,820 That's all I know. 1622 01:32:21,060 --> 01:32:21,220 Okay. 1623 01:32:22,100 --> 01:32:23,620 I don't even know if I know that. 1624 01:32:23,940 --> 01:32:27,060 Well, I need to learn about this because my daughter's obsessed with sharks, so I'll tell 1625 01:32:27,060 --> 01:32:32,980 her all about it once we're um it's its uh lifespan is estimated to 1626 01:32:32,980 --> 01:32:35,220 be around four or five hundred years. 1627 01:32:35,700 --> 01:32:36,260 Wow. 1628 01:32:37,140 --> 01:32:39,990 And then its age of maturation. 1629 01:32:40,230 --> 01:32:44,150 Do you want to guess what the age of maturation is estimated to be? 1630 01:32:44,470 --> 01:32:45,030 100. 1631 01:32:45,270 --> 01:32:46,790 It's 150. 1632 01:32:47,110 --> 01:32:47,510 Wow. 1633 01:32:47,590 --> 01:32:47,910 Wow. 1634 01:32:48,230 --> 01:32:49,270 It is such a slow. 1635 01:32:49,670 --> 01:32:55,430 And so going back to like life history theory, we think these very slow species are like 1636 01:32:55,430 --> 01:32:58,470 building their cells really carefully. 1637 01:32:59,030 --> 01:33:04,870 And so they have these extra, you know, like, which means they have these extra defenses 1638 01:33:04,870 --> 01:33:05,910 in them, right? 1639 01:33:06,230 --> 01:33:09,320 Like they are so slow growing. 1640 01:33:09,480 --> 01:33:13,800 Um, and I think that's again another if we could go back to the conversation, like why do 1641 01:33:13,800 --> 01:33:14,840 we get cancer? 1642 01:33:15,000 --> 01:33:19,080 It's these trade-offs where like, do I have the opportunity to grow slowly? 1643 01:33:19,240 --> 01:33:19,560 Nope. 1644 01:33:19,720 --> 01:33:25,160 Well, I'm gonna grow less carefully, but I'm going to get big enough to get 1645 01:33:25,480 --> 01:33:30,440 resources and access to mates, um, even though it's a little sloppy, right? 1646 01:33:30,600 --> 01:33:33,080 And that's where a lot of organisms end up. 1647 01:33:33,390 --> 01:33:39,070 Greenland Shark clearly doesn't have very many predators and has the opportunity to really 1648 01:33:39,070 --> 01:33:42,590 slow down and take its time and its life history strategy. 1649 01:33:42,670 --> 01:33:43,790 And it's so cool. 1650 01:33:44,110 --> 01:33:44,590 Wow. 1651 01:33:44,750 --> 01:33:45,310 Wow. 1652 01:33:45,630 --> 01:33:46,750 Really cool. 1653 01:33:47,630 --> 01:33:53,630 Um for people who are interested in this kind of approach, 1654 01:33:53,790 --> 01:33:56,910 um, and I can imagine there's two audiences listening. 1655 01:33:57,070 --> 01:34:01,390 One is students who might be interested in like learning more about this or studying 1656 01:34:01,390 --> 01:34:07,080 evolutionary medicine, Uh, in addition to working with you at UCSB, are there 1657 01:34:07,080 --> 01:34:10,360 other, I mean, how many other people are doing this kind of thing? 1658 01:34:10,440 --> 01:34:14,920 And like, are the who who, if there was somebody listening who was like, oh, I'm really 1659 01:34:14,920 --> 01:34:20,760 interested in evolutionary medicine, um, in addition to reaching out to you, who else 1660 01:34:20,760 --> 01:34:21,720 would you suggest? 1661 01:34:21,800 --> 01:34:25,640 I mean, not to put you on the spot about an omission doesn't mean you don't think they're 1662 01:34:25,640 --> 01:34:30,070 doing it, but just first like you have suggestions about like who are people who are 1663 01:34:30,070 --> 01:34:31,190 currently doing this kind of work? 1664 01:34:31,430 --> 01:34:31,670 Yes. 1665 01:34:32,310 --> 01:34:34,230 So we have a we have a society. 1666 01:34:34,470 --> 01:34:38,630 It's called the International Society for Evolution, Medicine and Public Health. 1667 01:34:38,790 --> 01:34:42,790 And there's a journal called the Evolution Medicine and Public Health Journal. 1668 01:34:43,350 --> 01:34:49,190 So there's a community there and there's tons of resources on the webpage for different 1669 01:34:49,190 --> 01:34:49,670 groups. 1670 01:34:49,830 --> 01:34:55,760 But then within the US, there's these little pockets that have like hot spots of 1671 01:34:55,760 --> 01:34:57,920 individuals that study evolutionary medicine. 1672 01:34:58,240 --> 01:35:04,240 UCLA has an evolutionary medicine program that's a master's program that's quite great. 1673 01:35:04,960 --> 01:35:10,880 Arizona State University has the Center for Evolution and Medicine and is invested 1674 01:35:10,960 --> 01:35:13,710 in has a bunch of different individuals there. 1675 01:35:13,950 --> 01:35:14,910 There it's interesting. 1676 01:35:14,990 --> 01:35:20,750 They're always within an anthro or or adjacent to an anthropology program and a psychology. 1677 01:35:21,230 --> 01:35:24,190 Like it is this interdisciplinary mix. 1678 01:35:24,830 --> 01:35:30,750 Also Duke has this in the try-sum area has this really great opportunity because there is 1679 01:35:30,750 --> 01:35:36,400 a med school, but also there's like zoos and the Duke Lemer Center and all that. 1680 01:35:36,480 --> 01:35:39,920 And so that's been, but it's within the anthropology department. 1681 01:35:40,080 --> 01:35:45,280 There's been a really big growth in individuals studying evolutionary medicine. 1682 01:35:45,440 --> 01:35:51,200 And then outside of the US, there's there's groups in like Zurich and various other 1683 01:35:51,200 --> 01:35:56,400 countries that are kind of get becoming these hubs for for evolutionary medicine. 1684 01:35:56,800 --> 01:35:57,120 Awesome. 1685 01:35:57,280 --> 01:35:57,920 That sounds great. 1686 01:35:58,070 --> 01:35:58,310 Yeah. 1687 01:35:58,470 --> 01:36:03,910 And then um, and then for people who are not students but are just interested in maybe like 1688 01:36:04,070 --> 01:36:09,990 a not terrible popularization, like are there any are there any resources for 1689 01:36:09,990 --> 01:36:10,150 that? 1690 01:36:10,310 --> 01:36:11,350 I mean, that's a hard question. 1691 01:36:11,510 --> 01:36:16,070 I don't even know what I would tell people like for for what I do for like a popular 1692 01:36:16,070 --> 01:36:16,870 source, you know. 1693 01:36:17,110 --> 01:36:22,230 Are there um, you know, are there books you would recommend for people who are interested 1694 01:36:22,230 --> 01:36:22,550 in? 1695 01:36:23,190 --> 01:36:29,040 Yeah, uh one of the like land like foundational books is Randy 1696 01:36:29,040 --> 01:36:31,760 Nessie and George Williams Why We Get Sick. 1697 01:36:32,560 --> 01:36:37,600 That's a a really great first pass at evolutionary medicine. 1698 01:36:38,240 --> 01:36:44,160 Um and then there's within the cancer community, 1699 01:36:44,320 --> 01:36:49,520 there's a really great book by James DeGregor DeGregory called Adaptive 1700 01:36:49,750 --> 01:36:51,270 oncogenesis. 1701 01:36:51,750 --> 01:36:54,230 That's a tongue tie, but it's a really great book. 1702 01:36:54,470 --> 01:37:00,310 Um, Athena Actipus has written a book called The Cheating Cell, which also um 1703 01:37:00,790 --> 01:37:03,830 is is has an evolutionary perspective. 1704 01:37:04,070 --> 01:37:07,190 Those two are specifically on cancer biology. 1705 01:37:07,510 --> 01:37:13,190 Um, but I think within every subfield of evolutionary medicine, there's probably some more 1706 01:37:13,420 --> 01:37:18,380 um popular stuff that I'm I'm probably forgetting about, but we'll remember as soon as we 1707 01:37:19,020 --> 01:37:19,500 that's awesome. 1708 01:37:19,580 --> 01:37:19,980 Yeah, yeah, yeah. 1709 01:37:20,140 --> 01:37:22,940 I'll remember it tonight while I'm like laying down. 1710 01:37:23,660 --> 01:37:23,900 That's great. 1711 01:37:24,060 --> 01:37:24,860 Oh, I forgot this. 1712 01:37:24,940 --> 01:37:28,060 And we're gonna we can always add it to show notes if if we think of something. 1713 01:37:28,220 --> 01:37:32,860 Um do you talk to enough psychologists or are we doing as psychologists a bad job of 1714 01:37:32,860 --> 01:37:35,020 talking to evolutionary medicine people? 1715 01:37:35,180 --> 01:37:39,900 Like the body's hooked up to the yeah do we do yeah the mind and body are all it's it's the 1716 01:37:39,900 --> 01:37:40,540 same thing, you know. 1717 01:37:41,100 --> 01:37:41,420 Right. 1718 01:37:41,580 --> 01:37:47,110 I was just thinking that because it is these fields that are quite distinct 1719 01:37:47,430 --> 01:37:51,590 but have very similar starting points. 1720 01:37:51,750 --> 01:37:52,070 Yeah. 1721 01:37:52,230 --> 01:37:56,950 And like within the evolutionary medicine field, there clearly are 1722 01:37:57,910 --> 01:38:02,070 evolutionary psychiatrists because that's who Randy Nessie is. 1723 01:38:02,390 --> 01:38:03,830 And oh, and here's another book. 1724 01:38:03,990 --> 01:38:09,960 He wrote a book called um good reasons for bad feelings or something along those lines. 1725 01:38:10,280 --> 01:38:15,720 And I I like I like that title, but again talking about how depression can be an 1726 01:38:15,720 --> 01:38:20,520 adaptation and anxiety can be an adaptation and all of these things, right? 1727 01:38:21,000 --> 01:38:26,760 Um but it is interesting that these fields haven't necessarily um 1728 01:38:27,710 --> 01:38:30,190 merged as much as you would imagine. 1729 01:38:30,590 --> 01:38:36,510 But I think there is this historical context of like neck 1730 01:38:36,510 --> 01:38:36,670 up. 1731 01:38:37,070 --> 01:38:37,470 Yeah, totally. 1732 01:38:41,150 --> 01:38:41,310 Yeah. 1733 01:38:41,390 --> 01:38:47,230 You're working in the that area and I'm I'm gonna stay away from humans and 1734 01:38:47,230 --> 01:38:52,980 how they um make decisions and yeah but you would I mean from a first 1735 01:38:52,980 --> 01:38:58,900 principles uh evolutionary perspective you would very much expect that the the mind 1736 01:38:59,220 --> 01:39:04,900 and the decision making and the control system is very much dependent on like what's the 1737 01:39:04,900 --> 01:39:06,660 state of the thing I'm in, right? 1738 01:39:06,820 --> 01:39:12,100 Like so this this thing of uh um like I know there's like work like Josh Schneidgross we 1739 01:39:12,100 --> 01:39:17,610 should have him on with the lassitude right but there should be all kinds of psychological 1740 01:39:17,610 --> 01:39:22,170 contingencies with uh what's the state of the body, right? 1741 01:39:22,250 --> 01:39:23,210 And back and forth. 1742 01:39:23,370 --> 01:39:25,610 You would expect that on first principles, right? 1743 01:39:25,850 --> 01:39:26,410 Yes. 1744 01:39:26,730 --> 01:39:27,050 Absolutely. 1745 01:39:27,370 --> 01:39:32,810 And and honestly, I see like ways where like, okay, so evolutionary medicine has maybe 1746 01:39:32,810 --> 01:39:36,010 provided these kind of drastic ways we treat people. 1747 01:39:36,170 --> 01:39:37,360 It could be different, right? 1748 01:39:37,520 --> 01:39:39,680 And then we don't see uptake in it, right? 1749 01:39:39,840 --> 01:39:45,760 Like, for example, like when I talk about the cancer therapy of maybe control versus 1750 01:39:45,760 --> 01:39:51,200 cure, we clearly need people to understand why people make the 1751 01:39:51,200 --> 01:39:55,120 decisions they make and why they avoid the decisions they make. 1752 01:39:55,360 --> 01:40:01,270 And what in and are there ways you could, you know, tap into that better so they could 1753 01:40:01,270 --> 01:40:03,430 understand and and be able to? 1754 01:40:03,830 --> 01:40:04,310 Oh, interesting. 1755 01:40:04,390 --> 01:40:07,510 So you're even talking about like the psychology of like the intervention and how people 1756 01:40:07,750 --> 01:40:09,270 metaphors people use to think. 1757 01:40:09,430 --> 01:40:10,550 That's a really cool idea. 1758 01:40:10,710 --> 01:40:12,070 That's that's something, yeah. 1759 01:40:12,150 --> 01:40:15,030 Like how do people think about medicine or the body? 1760 01:40:15,270 --> 01:40:15,830 Yes. 1761 01:40:16,070 --> 01:40:17,510 Yeah, that's really cool. 1762 01:40:17,670 --> 01:40:19,910 I don't know if there are any psychology on that. 1763 01:40:20,230 --> 01:40:23,700 Like folk folk physiology, more or less. 1764 01:40:23,860 --> 01:40:29,860 I mean, aside from maybe like how do how do the how do the dumb, wrong natives think 1765 01:40:30,100 --> 01:40:30,900 about science? 1766 01:40:30,980 --> 01:40:33,060 Like that's I'm I'm aware of work on that. 1767 01:40:33,300 --> 01:40:37,620 Like but like there's a bit of stuff on like scare quotes for people who couldn't see 1768 01:40:37,700 --> 01:40:37,780 right. 1769 01:40:37,940 --> 01:40:42,590 I'm saying like it was a very col it was very like poo-pooing like, you know, yes, 1770 01:40:42,830 --> 01:40:44,990 ethnographic knowledge that was probably very valuable. 1771 01:40:45,070 --> 01:40:45,870 But yeah, I don't know. 1772 01:40:46,030 --> 01:40:51,790 Is there work on sort of like the intuitive psychology of medicine or physiology or 1773 01:40:51,790 --> 01:40:55,870 mys like in the same way there's like a theory of mind, is there like a theory of body, 1774 01:40:55,950 --> 01:40:56,110 right? 1775 01:40:56,510 --> 01:40:57,070 Theory of medicine. 1776 01:40:57,230 --> 01:41:00,030 Like uh we m there might be very well be folk medicine. 1777 01:41:00,350 --> 01:41:00,670 Yeah, yeah. 1778 01:41:00,990 --> 01:41:01,150 Right. 1779 01:41:01,230 --> 01:41:06,780 There I mean there is folk medicine, but I'm I'm ignorant enough to that to not know if it 1780 01:41:06,780 --> 01:41:08,860 kind of talks about this broader. 1781 01:41:09,340 --> 01:41:13,820 There's a bit of stuff I mean about like, you know, medicinal practices and hunter gatherer 1782 01:41:13,820 --> 01:41:18,140 societies and how they all they often have pretty impressive you know herbal knowledge and 1783 01:41:18,140 --> 01:41:22,220 and remedies and and that's intertwined with like you know the study of shamanism and stuff 1784 01:41:22,220 --> 01:41:22,620 like that. 1785 01:41:23,260 --> 01:41:23,660 Yes. 1786 01:41:23,970 --> 01:41:26,850 And you know, it's still there's still some debate about like how much of that is actually 1787 01:41:26,850 --> 01:41:30,770 effective and how much of it is is just kind of a a a ritual or superstition. 1788 01:41:30,850 --> 01:41:36,290 And I'm I'm agnostic about that question, but um it seems like a hugely understudied and 1789 01:41:36,290 --> 01:41:40,930 important topic given how much medicine is interfacing with our lives and with the modern 1790 01:41:40,930 --> 01:41:45,970 world, just getting a handle on how we think about it and how our representations of 1791 01:41:45,970 --> 01:41:49,490 medicine you know interact with our own ability to cope with illness. 1792 01:41:50,620 --> 01:41:56,140 But I I do see that the there is a divide where people study that as in terms of like 1793 01:41:56,460 --> 01:42:01,100 folk medicine or, you know, like traditional medicine, but we're not thinking about it in 1794 01:42:01,100 --> 01:42:07,020 terms of like industrial pop industrialized population in our our m 1795 01:42:07,100 --> 01:42:08,140 medicine, right? 1796 01:42:08,300 --> 01:42:08,460 Yeah. 1797 01:42:08,860 --> 01:42:12,610 Um, where there's not really that crossover. 1798 01:42:12,930 --> 01:42:13,810 Yeah, it's still important. 1799 01:42:14,130 --> 01:42:14,930 It's all folk medicine. 1800 01:42:15,010 --> 01:42:15,730 It's all folk medicine. 1801 01:42:15,970 --> 01:42:16,050 Yeah. 1802 01:42:16,130 --> 01:42:20,290 It's still I mean basically, you know, doctor is a large part of the doctor's job is to be 1803 01:42:20,290 --> 01:42:21,810 a shaman in a white lab coat. 1804 01:42:21,890 --> 01:42:27,570 You know, like I mean, even from like you don't like if you're a a 1805 01:42:27,570 --> 01:42:33,490 researcher in a lab, you do so many rituals before you run your experiment to do a 1806 01:42:33,490 --> 01:42:34,050 discovery. 1807 01:42:34,210 --> 01:42:39,920 Like you you are just like there is still so much of that psychology 1808 01:42:40,080 --> 01:42:43,200 that we just we can't like I can't mess this up. 1809 01:42:43,280 --> 01:42:46,240 I did it worked yesterday, so I have to wear the same outfit. 1810 01:42:46,320 --> 01:42:46,960 I have to do this. 1811 01:42:47,120 --> 01:42:47,840 I have to do that. 1812 01:42:48,000 --> 01:42:52,720 Like there's still so much of that within with within labs. 1813 01:42:52,880 --> 01:42:58,560 You know, they have like special like I don't know, this is my good luck pipette, like all 1814 01:42:58,560 --> 01:43:04,290 of this stuff to get to get things to work that I I don't think we've moved that far away 1815 01:43:04,290 --> 01:43:04,610 from it. 1816 01:43:04,770 --> 01:43:06,210 We just call it something different. 1817 01:43:06,450 --> 01:43:06,610 Yeah. 1818 01:43:06,770 --> 01:43:07,410 It makes sense. 1819 01:43:07,570 --> 01:43:07,810 Yeah. 1820 01:43:07,890 --> 01:43:08,370 Yeah. 1821 01:43:08,690 --> 01:43:09,010 Yeah. 1822 01:43:09,330 --> 01:43:13,810 As as Rob Boyd once said, uh, and it always stuck with me, the world is opaque, right? 1823 01:43:14,050 --> 01:43:15,250 Like the world is opaque. 1824 01:43:15,330 --> 01:43:18,050 So you have to yeah, it's everything is a mystery. 1825 01:43:18,130 --> 01:43:18,290 Yeah. 1826 01:43:19,170 --> 01:43:19,250 Yeah. 1827 01:43:19,330 --> 01:43:21,890 We we were just talking uh to Clark Barrett about that. 1828 01:43:21,970 --> 01:43:27,120 Um uh the episode we just released yesterday about how about uh ritual practices and like 1829 01:43:27,120 --> 01:43:29,680 uh pre-hunting dances that the Shuar engage in. 1830 01:43:31,440 --> 01:43:34,640 Yeah, and he made the interesting point that like a lot of our statistical practices are 1831 01:43:34,720 --> 01:43:37,600 you know have the same kind of logic where we don't really know how they work, we're just 1832 01:43:37,600 --> 01:43:40,080 accepting them because the ancestors have bequeathed them to us. 1833 01:43:40,160 --> 01:43:44,960 And it's it's not all that different from a ritual, like a hunting dance or a ritual. 1834 01:43:46,080 --> 01:43:47,280 Yes, yes, yes. 1835 01:43:47,600 --> 01:43:52,610 Yeah, which I think maybe, yeah, coming back to thinking about applying that in terms of 1836 01:43:52,610 --> 01:43:58,610 getting evolutionary medicine or or any evolutionary perspectives into something is it's 1837 01:43:58,610 --> 01:44:03,570 not already in that ritual doing right. 1838 01:44:03,810 --> 01:44:07,490 Like it's just like, no, we don't do it that way. 1839 01:44:07,570 --> 01:44:08,610 We have to do it this way. 1840 01:44:08,770 --> 01:44:13,170 And yeah, I think it's really unfortunate because it's probably how we structure medical 1841 01:44:13,170 --> 01:44:18,580 schools, it's how we structure schools in general, like in terms of silos. 1842 01:44:18,820 --> 01:44:24,420 Like I want students at UCSB to not have to just take a major 1843 01:44:24,420 --> 01:44:24,900 classes. 1844 01:44:25,060 --> 01:44:30,900 I want them to be able to take classes from all over campus and that and it that's just not 1845 01:44:30,900 --> 01:44:31,220 possible. 1846 01:44:31,300 --> 01:44:36,450 And I feel like you ask why and people are like, well, because we have 1847 01:44:36,610 --> 01:44:37,410 departments. 1848 01:44:37,570 --> 01:44:38,050 And yeah. 1849 01:44:38,210 --> 01:44:39,570 And then you're like, but why? 1850 01:44:40,050 --> 01:44:40,850 Why do we have departments? 1851 01:44:41,170 --> 01:44:42,130 Why do we have departments? 1852 01:44:42,210 --> 01:44:45,410 And they're like, well, because and like and it's all of this stuff. 1853 01:44:45,490 --> 01:44:51,090 And it's like, but but we could we could have bigger, better learners if we could 1854 01:44:51,410 --> 01:44:54,610 have crosstalk across so many different disciplines. 1855 01:44:54,770 --> 01:45:00,340 But and I feel like it always lands on it's either because it's difficult and we've always 1856 01:45:00,340 --> 01:45:01,220 done it this way. 1857 01:45:01,300 --> 01:45:03,220 And those two things are in a loop. 1858 01:45:03,460 --> 01:45:03,700 Yes. 1859 01:45:03,940 --> 01:45:04,100 Right. 1860 01:45:04,500 --> 01:45:08,420 So we're doing it on the other way is more difficult because we've always done it this way. 1861 01:45:08,500 --> 01:45:09,860 And we've always done it this way. 1862 01:45:09,940 --> 01:45:13,860 And that's you know, it's not a good reason to do things, but it yeah, it is hard to change 1863 01:45:13,860 --> 01:45:14,100 things. 1864 01:45:14,180 --> 01:45:14,500 Yeah. 1865 01:45:14,900 --> 01:45:15,300 It is. 1866 01:45:15,460 --> 01:45:15,700 Yeah. 1867 01:45:15,940 --> 01:45:16,260 Yeah. 1868 01:45:16,500 --> 01:45:20,340 How did you um we're we're we're getting closer to the end here. 1869 01:45:20,580 --> 01:45:25,060 Um, how did you you talked about sort of the way biology is taught in school. 1870 01:45:25,140 --> 01:45:28,420 And David and I have talked a little bit about how, at least for me, I don't want to speak 1871 01:45:28,420 --> 01:45:28,820 for David. 1872 01:45:28,990 --> 01:45:33,470 Like I was like learning parts of the grasshopper in by in like high school bio. 1873 01:45:33,710 --> 01:45:38,270 I had a great high school in many ways, but the bio sor like at least at the time I was 1874 01:45:38,270 --> 01:45:39,150 taking it was horrible. 1875 01:45:39,230 --> 01:45:41,550 It was just laundry list, it was stamp collecting. 1876 01:45:41,630 --> 01:45:43,070 There were no principles. 1877 01:45:43,310 --> 01:45:45,950 Um, were you interested in biology? 1878 01:45:46,110 --> 01:45:51,790 How did you get interested in in in in like Amy body as a kid? 1879 01:45:51,870 --> 01:45:52,910 Like, how did you get here? 1880 01:45:53,070 --> 01:45:55,310 Like, how do you is there a story? 1881 01:45:55,390 --> 01:45:59,280 Um it's the most boring story. 1882 01:45:59,360 --> 01:46:03,760 No, I was not inter not necessarily interested in the natural world. 1883 01:46:03,840 --> 01:46:09,200 I mean, as much as any kid, like I was, you know, in the 80s, you're outside all day long 1884 01:46:09,440 --> 01:46:12,000 observing things and and doing all that. 1885 01:46:12,160 --> 01:46:18,000 And I always liked maybe um like math and and lean towards more 1886 01:46:18,000 --> 01:46:23,680 like quantitative type of analyses and stuff like that, but it 1887 01:46:23,730 --> 01:46:29,570 wasn't until a community college class that I 1888 01:46:29,570 --> 01:46:33,250 took and it was a biology class, and the professor was amazing. 1889 01:46:33,330 --> 01:46:35,730 And he was so excited about biology. 1890 01:46:35,970 --> 01:46:40,210 Um, and I was like, oh wow, this is this is great, right? 1891 01:46:40,290 --> 01:46:41,570 And this is really cool. 1892 01:46:41,730 --> 01:46:43,250 And the same thing with evolution. 1893 01:46:43,410 --> 01:46:47,330 I had no evolution in my high school training at all. 1894 01:46:47,490 --> 01:46:53,040 Like, I don't think we learned about it at right now, I have a 14 year old daughter. 1895 01:46:53,200 --> 01:46:55,280 She is learning about natural selection. 1896 01:46:55,440 --> 01:46:57,600 And I'm always like, wait, you're learning that? 1897 01:46:57,760 --> 01:46:58,960 I'm teaching my undergrad. 1898 01:47:02,000 --> 01:47:06,880 But there is a disconnect, and you have to like you have to reteach these principles 1899 01:47:06,880 --> 01:47:10,480 because you don't know if everyone is getting the same education. 1900 01:47:10,720 --> 01:47:15,360 Um, and so I always start from the beginning when I'm I'm teaching these these classes. 1901 01:47:15,680 --> 01:47:21,450 But yeah, I didn't really start studying biology until I 1902 01:47:21,450 --> 01:47:23,130 was in community college. 1903 01:47:23,210 --> 01:47:24,090 And it was the same thing. 1904 01:47:24,170 --> 01:47:28,890 We're doing labs and dissecting mice and various things. 1905 01:47:29,210 --> 01:47:30,970 And I really liked it. 1906 01:47:31,050 --> 01:47:34,730 And I really liked evolution too, those those types of classes. 1907 01:47:34,810 --> 01:47:36,810 It really opened my mind up. 1908 01:47:37,210 --> 01:47:39,690 Um, so yeah. 1909 01:47:41,660 --> 01:47:43,100 Steven, you were gonna say something. 1910 01:47:43,580 --> 01:47:47,340 No, I mean I think we're about getting to that part of the episode where we ask our 1911 01:47:47,340 --> 01:47:49,020 question about questions. 1912 01:47:49,260 --> 01:47:50,860 Yeah, should we have asked you anything? 1913 01:47:51,020 --> 01:47:51,420 Yes. 1914 01:47:52,540 --> 01:47:55,580 Oh, that's such a tricky question. 1915 01:47:56,380 --> 01:48:01,420 I know we we often if it if it is a spring, we spring it on you and then we give you a few 1916 01:48:01,420 --> 01:48:06,860 minutes a few seconds, we we banter about something else to yeah, to um uh um 1917 01:48:07,390 --> 01:48:12,190 give you a second to think about if there's anything else that we should have asked you 1918 01:48:12,190 --> 01:48:12,510 about. 1919 01:48:12,750 --> 01:48:13,390 Yeah. 1920 01:48:15,550 --> 01:48:16,670 It's a hard question. 1921 01:48:16,910 --> 01:48:17,550 I know. 1922 01:48:17,710 --> 01:48:17,950 Yeah. 1923 01:48:18,750 --> 01:48:19,790 I can't think of anything. 1924 01:48:20,030 --> 01:48:20,350 That's fine. 1925 01:48:20,430 --> 01:48:20,670 Yeah, yeah. 1926 01:48:21,070 --> 01:48:21,710 That's totally okay. 1927 01:48:22,430 --> 01:48:22,590 Yeah. 1928 01:48:22,670 --> 01:48:26,590 Mo I I don't I can't think of a single guest who like totally except for I don't know, 1929 01:48:26,670 --> 01:48:30,110 maybe maybe like Josh Tiber was like because he's a fan, he like he knew we were gonna ask 1930 01:48:30,110 --> 01:48:31,550 him he like came with like a great answer. 1931 01:48:32,910 --> 01:48:34,700 But like we should maybe we should stop. 1932 01:48:35,900 --> 01:48:36,620 Yeah, maybe we should have a lot of people. 1933 01:48:36,780 --> 01:48:40,220 No, I think it's a good one because some people could be like, oh wait, we didn't talk 1934 01:48:40,220 --> 01:48:40,380 about this. 1935 01:48:43,020 --> 01:48:43,660 People are psychic. 1936 01:48:44,060 --> 01:48:45,740 I promoted a a book or something like that. 1937 01:48:45,900 --> 01:48:46,700 Yeah, no, exactly. 1938 01:48:46,780 --> 01:48:47,260 Yeah, yeah. 1939 01:48:47,500 --> 01:48:47,660 Yeah. 1940 01:48:47,820 --> 01:48:48,460 No, grift. 1941 01:48:48,620 --> 01:48:49,740 This is your chance to grip. 1942 01:48:51,340 --> 01:48:52,220 No, this was great. 1943 01:48:52,380 --> 01:48:58,140 I love that we were able to talk about both worlds and of my research and connect them. 1944 01:48:58,220 --> 01:48:58,830 And yeah. 1945 01:48:59,230 --> 01:49:00,350 Yeah, it's it's really great. 1946 01:49:00,430 --> 01:49:04,350 And I mean one of the things I'm like people are who listen are probably bored by this, but 1947 01:49:04,430 --> 01:49:08,270 like you and I, Amy, you and I are colleagues, but I never get a chance to talk about 1948 01:49:08,270 --> 01:49:08,670 science. 1949 01:49:08,830 --> 01:49:11,150 This is one of the reasons for doing this is just yes. 1950 01:49:11,310 --> 01:49:13,790 It's a great chance to like talk about science. 1951 01:49:14,350 --> 01:49:14,990 Absolutely. 1952 01:49:15,230 --> 01:49:15,790 Yeah. 1953 01:49:16,030 --> 01:49:18,350 Um well thank you for doing what you're doing. 1954 01:49:18,510 --> 01:49:24,190 Um you're literally like helping us understand how like cancer works and you're doing 1955 01:49:24,420 --> 01:49:29,620 you're still, you might, for all we know, a year or two from now, you might discover 1956 01:49:29,620 --> 01:49:34,020 something in Wales that revolutionizes, you know, what was it? 1957 01:49:34,100 --> 01:49:35,220 The P35. 1958 01:49:35,540 --> 01:49:36,100 P53. 1959 01:49:36,340 --> 01:49:36,900 P53. 1960 01:49:36,980 --> 01:49:37,700 Uh I tried. 1961 01:49:38,020 --> 01:49:38,580 Okay, close. 1962 01:49:38,740 --> 01:49:39,060 Close enough. 1963 01:49:39,540 --> 01:49:42,980 So uh yeah, no, it's just incredible. 1964 01:49:43,060 --> 01:49:48,660 And I hope that um you have lots and lots of students knocking on your doors and lots of 1965 01:49:48,660 --> 01:49:49,140 funders. 1966 01:49:49,220 --> 01:49:52,500 And it sounds like the funding agencies really need to get their act together too. 1967 01:49:52,870 --> 01:49:58,870 I mean, welcome to the the new state of America funding 1968 01:49:58,870 --> 01:49:59,350 situations. 1969 01:49:59,590 --> 01:49:59,670 Yeah. 1970 01:49:59,910 --> 01:50:04,550 But it sounds like even before, like the the binning and the silos and the like kind of 1971 01:50:04,550 --> 01:50:10,310 presuming the categories of solutions ahead of time made it so that this was sort of an 1972 01:50:10,310 --> 01:50:13,270 odd man out or not in the Venn diagram, maybe. 1973 01:50:13,430 --> 01:50:13,590 Yeah. 1974 01:50:13,900 --> 01:50:14,140 Yeah. 1975 01:50:14,300 --> 01:50:17,820 And a lot of funding agencies are like, we want something risky, and then they're like, not 1976 01:50:17,980 --> 01:50:18,780 that risky. 1977 01:50:19,260 --> 01:50:24,940 It's like their idea of risky and my idea of risky are not in the same category. 1978 01:50:25,100 --> 01:50:26,700 And so that's unfortunate. 1979 01:50:26,860 --> 01:50:30,460 But there's foundations that fund some of this stuff. 1980 01:50:30,540 --> 01:50:31,260 And yeah. 1981 01:50:31,660 --> 01:50:31,820 Yeah. 1982 01:50:31,980 --> 01:50:36,300 So if you if you really if you have a lot, if you're listening, you have a lot of money, 1983 01:50:36,460 --> 01:50:41,930 then that you would love to have a high risk, hype possible like cancer solution, contact 1984 01:50:41,930 --> 01:50:42,650 Amy Body. 1985 01:50:43,050 --> 01:50:43,930 Yes, there you go. 1986 01:50:44,170 --> 01:50:44,730 Absolutely. 1987 01:50:45,050 --> 01:50:47,690 We don't do ads, but that's an ad we can do. 1988 01:50:49,690 --> 01:50:50,170 Yes. 1989 01:50:50,410 --> 01:50:50,810 Yeah. 1990 01:50:51,130 --> 01:50:52,810 Do you is there any like seriously? 1991 01:50:52,970 --> 01:50:56,730 Is there any other things like where people, if they want to like, are there certain 1992 01:50:56,730 --> 01:51:00,330 projects that you think like if people are interested in supporting them, like are there 1993 01:51:00,330 --> 01:51:05,290 other ones, or is that the general thing that it's um yeah? 1994 01:51:05,860 --> 01:51:09,860 Um yeah, I there's tons of like, yeah. 1995 01:51:10,020 --> 01:51:15,780 There's I mean, the whole world of I mean, we talk a lot about evolutionary medicine, but 1996 01:51:15,780 --> 01:51:21,620 the the whole world of comparative biology is just understudied in so many different 1997 01:51:21,620 --> 01:51:21,940 ways. 1998 01:51:22,100 --> 01:51:27,940 And then we only study the species that matter for who they matter for 1999 01:51:27,940 --> 01:51:28,980 and the population. 2000 01:51:29,140 --> 01:51:32,570 So like, yeah, it's just cool. 2001 01:51:32,730 --> 01:51:33,290 Yeah, yeah. 2002 01:51:33,450 --> 01:51:35,130 Lots of incredible things. 2003 01:51:35,290 --> 01:51:37,210 So um, well, thanks for being on. 2004 01:51:37,290 --> 01:51:38,490 It was it was a pleasure. 2005 01:51:38,570 --> 01:51:44,570 Um, it was really good talking, and we'll um I I like that we're as a as 2006 01:51:44,570 --> 01:51:50,330 an evolutionary psychology podcast, we're also talking to people who 2007 01:51:50,330 --> 01:51:55,370 are doing an evolution who are adaptationists who are doing evolutionary approach, but 2008 01:51:55,370 --> 01:52:00,810 studying or and studying, no but, but and studying the rest of the body or the 2009 01:52:01,120 --> 01:52:06,720 this this issue of the psychology and the and the physiology we need to start talking more. 2010 01:52:07,040 --> 01:52:09,040 Yeah absolutely this was so fun. 2011 01:52:09,520 --> 01:52:10,400 Thank you for having me on. 2012 01:52:10,960 --> 01:52:11,440 It was wonderful. 2013 01:52:11,520 --> 01:52:11,920 Thanks so much. 2014 01:52:12,320 --> 01:52:12,800 Our pleasure. 2015 01:52:12,880 --> 01:52:13,840 Thanks so much. 2016 01:52:17,200 --> 01:52:22,160 I learned a lot in this episode and um we know I think people who have been listening to 2017 01:52:22,160 --> 01:52:27,830 the podcast know they can, you know, subscribe and like uh leave positive comments. 2018 01:52:27,990 --> 01:52:30,390 Um we have a Patreon page. 2019 01:52:30,630 --> 01:52:33,030 Um am I leaving anything out? 2020 01:52:33,510 --> 01:52:35,110 I think those are the big ones. 2021 01:52:35,270 --> 01:52:35,910 Uh yeah. 2022 01:52:36,070 --> 01:52:41,990 Just uh support us in in whatever way you can help us push the uh 2023 01:52:42,150 --> 01:52:46,070 the evolutionary framework wider and farther. 2024 01:52:46,600 --> 01:52:52,520 Um we also had um we've also gotten some emails from people and some suggestions 2025 01:52:52,520 --> 01:52:55,720 for guests and that's always appreciated um as well. 2026 01:52:55,880 --> 01:52:59,480 So um yeah and suggestions for topics. 2027 01:52:59,800 --> 01:53:03,480 Um and nobody's gotten David a um fanny pack yet. 2028 01:53:03,800 --> 01:53:06,360 I am starting to get a little peeved to be honest Dave. 2029 01:53:06,680 --> 01:53:11,210 I've been waiting on that fanny pack for months now and it has not arrived. 2030 01:53:11,770 --> 01:53:15,610 I'm starting to think that you know our listeners don't really have a lot of respect for 2031 01:53:15,610 --> 01:53:15,770 me. 2032 01:53:16,090 --> 01:53:16,410 Okay. 2033 01:53:16,570 --> 01:53:18,570 That's them them's fighting words. 2034 01:53:18,730 --> 01:53:23,050 Um uh and you said green or black? 2035 01:53:23,690 --> 01:53:25,130 Uh I you know, either one. 2036 01:53:25,450 --> 01:53:28,650 Have you come around to have you decided ideally green and black? 2037 01:53:28,890 --> 01:53:29,610 Striped. 2038 01:53:30,090 --> 01:53:30,410 Okay. 2039 01:53:30,810 --> 01:53:31,320 All right. 2040 01:53:31,480 --> 01:53:32,920 Well, that's one way to do it. 2041 01:53:33,080 --> 01:53:33,400 Okay. 2042 01:53:33,560 --> 01:53:33,800 Yeah. 2043 01:53:34,600 --> 01:53:36,680 Um, and French fries, that's the other thing. 2044 01:53:36,760 --> 01:53:39,320 If you're bringing up the phone, the french fries inside the fanny pack. 2045 01:53:39,400 --> 01:53:42,360 You you you know what I like, listeners. 2046 01:53:42,680 --> 01:53:44,280 You know you know your way to my heart. 2047 01:53:45,240 --> 01:53:46,360 It's so ridiculous. 2048 01:53:46,520 --> 01:53:46,760 Okay. 2049 01:53:46,920 --> 01:53:48,280 Um, well, have a good week. 2050 01:53:48,360 --> 01:53:49,560 Uh thank you for listening. 2051 01:53:49,640 --> 01:53:51,320 Uh, and uh, we'll see you next week. 2052 01:53:51,640 --> 01:53:52,200 See ya