1 00:00:00,040 --> 00:00:02,560 Speaker 1: Hey, friends, just a heads up that we're talking about 2 00:00:02,720 --> 00:00:06,080 Speaker 1: organ shortages today and will touch on topics like death 3 00:00:06,160 --> 00:00:09,600 Speaker 1: and animal research. So decide if this is an appropriate 4 00:00:09,720 --> 00:00:27,960 Speaker 1: episode for you or your kiddos. According to Donate Life America, 5 00:00:28,040 --> 00:00:31,640 Speaker 1: over one hundred thousand people are on the organ transplant waitlist. 6 00:00:32,200 --> 00:00:36,000 Speaker 1: Approximately every eight minutes, another person is added to this list, 7 00:00:36,360 --> 00:00:39,040 Speaker 1: So while you are listening to our show, approximately five 8 00:00:39,120 --> 00:00:41,839 Speaker 1: people will have been told that their life depends on 9 00:00:42,000 --> 00:00:45,600 Speaker 1: receiving a new organ. That weight might be quite long. 10 00:00:46,080 --> 00:00:49,280 Speaker 1: Some folks will wait years before that organ becomes available, 11 00:00:49,440 --> 00:00:52,080 Speaker 1: and during that weight the quality of their life could 12 00:00:52,120 --> 00:00:55,840 Speaker 1: be quite poor. And unfortunately, not everyone on this waitlist 13 00:00:55,920 --> 00:00:58,240 Speaker 1: is going to get an organ in time. Every day, 14 00:00:58,280 --> 00:01:01,200 Speaker 1: about thirteen people on the waitlist will pass away because 15 00:01:01,200 --> 00:01:04,399 Speaker 1: an organ was not made available soon enough. So what 16 00:01:04,480 --> 00:01:07,400 Speaker 1: are our options. Well, today we're going to talk about 17 00:01:07,440 --> 00:01:10,400 Speaker 1: one of those options that's looking more and more promising 18 00:01:10,440 --> 00:01:14,640 Speaker 1: every day, and that option is zeno transplantation. That is 19 00:01:15,080 --> 00:01:19,039 Speaker 1: taking organs from a non human animal pigs in this case, 20 00:01:19,440 --> 00:01:22,720 Speaker 1: and implanting them into humans. This requires a fair bit 21 00:01:22,760 --> 00:01:26,160 Speaker 1: of genetic engineering, and today we'll chat about how that's done. 22 00:01:26,840 --> 00:01:29,600 Speaker 1: Welcome to Daniel and Kelly's Extraordinary Universe. 23 00:01:43,040 --> 00:01:46,120 Speaker 2: Hi, I'm Daniel. I'm a particle physicist, and me and 24 00:01:46,160 --> 00:01:48,760 Speaker 2: my microbes consider myself one hundred percent human. 25 00:01:49,920 --> 00:01:53,280 Speaker 1: Hi, I'm a Kelly Wiener Smith. I study parasites and space, 26 00:01:53,840 --> 00:01:56,720 Speaker 1: and yes, the community that makes up me is all me, 27 00:01:57,120 --> 00:01:58,320 Speaker 1: and I feel great about it. 28 00:02:00,000 --> 00:02:02,720 Speaker 2: Some one wonder and ask Katrina this question whether my 29 00:02:02,840 --> 00:02:06,160 Speaker 2: microbes would be offended to be considered human because you know, 30 00:02:06,200 --> 00:02:08,560 Speaker 2: they don't have the human DNA, but they are part 31 00:02:08,600 --> 00:02:08,760 Speaker 2: of me. 32 00:02:09,160 --> 00:02:10,720 Speaker 1: Yeah, you know, I feel like you could actually have 33 00:02:10,720 --> 00:02:16,240 Speaker 1: a pretty interesting philosophical argument about what you really means, 34 00:02:16,919 --> 00:02:18,960 Speaker 1: because you know, when we had Katrina on the show, 35 00:02:19,000 --> 00:02:21,880 Speaker 1: she was talking about how bacteria sort of communicate with 36 00:02:21,960 --> 00:02:24,880 Speaker 1: our brain via the vagus nerve vegas nerve. We both 37 00:02:24,960 --> 00:02:28,720 Speaker 1: know I don't pronounce things correctly, ever, and so you know, 38 00:02:28,800 --> 00:02:32,359 Speaker 1: I had to what extent your well being and behavior 39 00:02:32,440 --> 00:02:35,000 Speaker 1: is influenced by what kinds of bacteria you have at 40 00:02:35,000 --> 00:02:37,320 Speaker 1: the moment. I think it is a fascinating question. And 41 00:02:37,360 --> 00:02:40,440 Speaker 1: so I contain multitudes. 42 00:02:39,960 --> 00:02:42,240 Speaker 2: And maybe if you had different multitudes, you could pronounce 43 00:02:42,280 --> 00:02:45,040 Speaker 2: things differently or better. Even right, I don't. 44 00:02:44,880 --> 00:02:47,880 Speaker 1: Think anything could help me with that. Ever, I've always 45 00:02:47,919 --> 00:02:50,880 Speaker 1: been this way no matter what my microbiome was up to. 46 00:02:51,160 --> 00:02:54,000 Speaker 2: I'm going to ask Katrina to engineer some superbug to 47 00:02:54,000 --> 00:02:55,480 Speaker 2: help you with your pronunciation. 48 00:02:57,400 --> 00:03:00,040 Speaker 1: I would happily pay for that. That would be a 49 00:03:00,440 --> 00:03:03,480 Speaker 1: So when I have to do the audiobook readings for 50 00:03:03,639 --> 00:03:05,760 Speaker 1: my books, I'm always like, ah, this is going to 51 00:03:05,800 --> 00:03:06,440 Speaker 1: be a disaster. 52 00:03:07,280 --> 00:03:10,640 Speaker 2: But in general, I love when questions in science bump 53 00:03:10,720 --> 00:03:13,639 Speaker 2: up against philosophical issues, you know, that make us ask 54 00:03:13,720 --> 00:03:16,400 Speaker 2: questions like what do we really mean by your body? 55 00:03:16,919 --> 00:03:18,720 Speaker 2: And it's not that hard to get there, you know, 56 00:03:18,760 --> 00:03:20,880 Speaker 2: you can just even ask like, well, where does your 57 00:03:20,919 --> 00:03:23,799 Speaker 2: body end? You know, is it at your skin, at 58 00:03:23,840 --> 00:03:27,280 Speaker 2: your hair, a millimeter past it? It's your fuzzy personal 59 00:03:27,320 --> 00:03:30,519 Speaker 2: space boundary. You know, it's not that hard to get 60 00:03:30,560 --> 00:03:32,760 Speaker 2: stuck in weird philosophical questions. 61 00:03:33,000 --> 00:03:35,640 Speaker 1: Yeah, and organ transplants, whether it's from one human to 62 00:03:35,680 --> 00:03:39,000 Speaker 1: another or zeno transplantation, which we're talking about today, which 63 00:03:39,000 --> 00:03:41,360 Speaker 1: is when you take organs from a non human animal 64 00:03:41,680 --> 00:03:44,880 Speaker 1: and put them into a human. You know, causes a 65 00:03:44,880 --> 00:03:47,080 Speaker 1: lot of philosophical questions or at least a lot of 66 00:03:47,080 --> 00:03:50,120 Speaker 1: sort of emotional turmoil. There are stories about people who 67 00:03:50,160 --> 00:03:54,200 Speaker 1: have gotten face transplants, for example, just feeling very uncomfortable 68 00:03:54,240 --> 00:03:56,000 Speaker 1: looking at their face in the mirror. There's a story 69 00:03:56,000 --> 00:03:58,440 Speaker 1: of one person who had a hand transplant and he 70 00:03:58,560 --> 00:04:01,520 Speaker 1: ended up wanting the hand remove moved because he just 71 00:04:01,640 --> 00:04:03,480 Speaker 1: was like, this is not my hand and it's just 72 00:04:03,520 --> 00:04:06,440 Speaker 1: too weird. I'm not emotionally, I can't handle this. 73 00:04:06,760 --> 00:04:08,240 Speaker 2: You can't handle it nice. 74 00:04:08,760 --> 00:04:11,720 Speaker 1: Oh I didn't even get how clever even when I'm 75 00:04:11,720 --> 00:04:12,280 Speaker 1: not trying. 76 00:04:12,360 --> 00:04:15,080 Speaker 2: Man, Well, I was just going to raise that issue, 77 00:04:15,120 --> 00:04:17,600 Speaker 2: like it's really a ship of theseus question. You know, 78 00:04:18,320 --> 00:04:21,120 Speaker 2: if you get somebody else's liver, you feel like you're 79 00:04:21,120 --> 00:04:23,520 Speaker 2: still you. What if you've got somebody else's liver and 80 00:04:23,560 --> 00:04:27,359 Speaker 2: pancreas and heart and legs and arms and everything else 81 00:04:27,480 --> 00:04:29,920 Speaker 2: except the brain, would you still be you? I think 82 00:04:29,920 --> 00:04:33,960 Speaker 2: we mostly consider ourselves to be our brain, which is 83 00:04:34,040 --> 00:04:37,160 Speaker 2: I don't know if that's philosophically naive or sophisticated or not. 84 00:04:37,279 --> 00:04:39,520 Speaker 2: But the face is weird. Right to be in somebody 85 00:04:39,520 --> 00:04:41,800 Speaker 2: else's face. That must feel strange. 86 00:04:42,000 --> 00:04:44,440 Speaker 1: Yeah, that must feel strange. I still feel like, you know, 87 00:04:44,440 --> 00:04:46,760 Speaker 1: for a lot of people, it must be a huge relief, 88 00:04:47,000 --> 00:04:48,960 Speaker 1: depending on what happened to them to put them in 89 00:04:48,960 --> 00:04:50,760 Speaker 1: the position where they needed a face transplant. 90 00:04:50,839 --> 00:04:52,800 Speaker 2: Oh right, Yeah, I thought you were just saying, like, 91 00:04:53,040 --> 00:04:56,719 Speaker 2: I'm not that happy with my face either, so would 92 00:04:56,720 --> 00:04:59,480 Speaker 2: be a relief to have somebody else's face over here. 93 00:05:00,000 --> 00:05:02,320 Speaker 1: I spent too much time in the sun. I could 94 00:05:02,400 --> 00:05:05,360 Speaker 1: use a face with less evidence of that. But this 95 00:05:05,440 --> 00:05:06,920 Speaker 1: is the face I got, and I'm going to stick 96 00:05:06,960 --> 00:05:09,279 Speaker 1: with it. But yeah, you know, I as somebody who 97 00:05:09,360 --> 00:05:12,880 Speaker 1: is working their way through paramenopause, and there are days 98 00:05:12,880 --> 00:05:16,120 Speaker 1: where I'm feeling grumpy. I'm so interested in this question 99 00:05:16,200 --> 00:05:19,560 Speaker 1: about like what makes you who you are, and like 100 00:05:19,600 --> 00:05:22,839 Speaker 1: how your hormones influence the way that you behave or 101 00:05:22,880 --> 00:05:25,400 Speaker 1: maybe how the bacteria that are releasing stuff, how that 102 00:05:25,440 --> 00:05:27,479 Speaker 1: influences the way you behave. I think it's a really 103 00:05:27,920 --> 00:05:30,960 Speaker 1: fascinating question that ties in with this question of like, 104 00:05:31,320 --> 00:05:33,320 Speaker 1: you know, to what extent does it matter if the 105 00:05:33,440 --> 00:05:37,599 Speaker 1: you parts have your genome in their nucleus or not. 106 00:05:38,000 --> 00:05:42,800 Speaker 1: It's complicated. What do you think if you had lungs, hearts, kidneys, 107 00:05:42,920 --> 00:05:46,200 Speaker 1: liver from somebody else, how would you feel about that? 108 00:05:46,720 --> 00:05:48,599 Speaker 2: I would feel a little bit like I had some 109 00:05:48,760 --> 00:05:52,800 Speaker 2: of them inside of me. Yeah, and I wonder how 110 00:05:53,440 --> 00:05:59,680 Speaker 2: parents feel when their children's organs are reused after a 111 00:05:59,720 --> 00:06:02,800 Speaker 2: tried to accident. Do they feel like, you know, little 112 00:06:02,839 --> 00:06:05,200 Speaker 2: Timmy's heart is still beating and so we have still 113 00:06:05,320 --> 00:06:08,240 Speaker 2: some part of him, I wonder, or if they just 114 00:06:08,279 --> 00:06:10,760 Speaker 2: feel like that was a gift to help somebody else live. 115 00:06:11,400 --> 00:06:11,880 Speaker 2: I don't know. 116 00:06:11,920 --> 00:06:14,920 Speaker 1: It's fascinating, yeah, yeah, no, fascinating, And it must be 117 00:06:15,200 --> 00:06:18,480 Speaker 1: very emotionally complicated. I imagine lots of people have different feelings. 118 00:06:18,600 --> 00:06:20,280 Speaker 1: I think if I was in that situation, I would 119 00:06:20,279 --> 00:06:24,120 Speaker 1: be glad that other families were spared the pain that 120 00:06:24,160 --> 00:06:26,159 Speaker 1: I was going through and that, you know, our family 121 00:06:26,240 --> 00:06:29,280 Speaker 1: was able to give that to them. But it would be, yeah, 122 00:06:29,400 --> 00:06:32,560 Speaker 1: really complicated. So today our topic is a bit of 123 00:06:32,560 --> 00:06:33,920 Speaker 1: a downer, But a lot of. 124 00:06:33,839 --> 00:06:37,400 Speaker 2: Those philosophical issues can be partially sidestepped if you're not 125 00:06:37,440 --> 00:06:40,520 Speaker 2: talking about a human to human gift, right, If you're 126 00:06:40,560 --> 00:06:43,320 Speaker 2: talking about getting an organ from another animal, and this 127 00:06:43,520 --> 00:06:46,159 Speaker 2: different set of philosophical issues, right, if you're getting it 128 00:06:46,200 --> 00:06:48,640 Speaker 2: from a pig or from a baboon, and are they 129 00:06:48,720 --> 00:06:51,039 Speaker 2: sentient and can they consent? And do they have rights 130 00:06:51,040 --> 00:06:53,240 Speaker 2: and all this sort of stuff, But you do avoid 131 00:06:53,240 --> 00:06:56,000 Speaker 2: the question of like taking organs from another person and 132 00:06:56,040 --> 00:06:58,760 Speaker 2: then being part of you. So tell us, Kelly, how 133 00:06:58,760 --> 00:06:59,960 Speaker 2: do we get started on this question? 134 00:07:00,160 --> 00:07:02,080 Speaker 1: Well, the reason we got started on this question is 135 00:07:02,080 --> 00:07:05,640 Speaker 1: because a listener, Jane, who's a pastor, wrote and wanted 136 00:07:05,680 --> 00:07:08,440 Speaker 1: to know what kind of philosophical issues come up when 137 00:07:08,440 --> 00:07:12,240 Speaker 1: you're using you know, pig organs, transgenic pig organs to 138 00:07:12,320 --> 00:07:14,360 Speaker 1: keep people alive. So let's go ahead and listen to 139 00:07:14,440 --> 00:07:17,360 Speaker 1: Jane's question and then we'll jump into talking about what 140 00:07:17,520 --> 00:07:19,840 Speaker 1: xeno transplantation is and how it works. 141 00:07:20,200 --> 00:07:23,720 Speaker 3: Hi, Daniel and Kelly, this is Jane from Redcar, England. 142 00:07:24,200 --> 00:07:27,560 Speaker 3: I've got a question which is more philosophical and scientific. 143 00:07:28,080 --> 00:07:31,400 Speaker 3: There's been a lot of news about transgenic pigs created 144 00:07:31,440 --> 00:07:35,680 Speaker 3: for transplantation. The idea is that their genome becomes more 145 00:07:35,720 --> 00:07:39,400 Speaker 3: and more human so that they trigger less rejection. My 146 00:07:39,600 --> 00:07:43,320 Speaker 3: question is, at what point do we need to start 147 00:07:43,400 --> 00:07:47,800 Speaker 3: treating them as human and therefore with more respect. Not 148 00:07:47,880 --> 00:07:50,480 Speaker 3: that we always treat other humans with the respect, but 149 00:07:50,560 --> 00:07:55,240 Speaker 3: that's a different question. I'm excited by the opportunities this offers, 150 00:07:55,240 --> 00:07:58,720 Speaker 3: but I'm also conflicted by the ethics. I look forward 151 00:07:58,760 --> 00:08:01,680 Speaker 3: to hearing your take on this. Thank you, for a 152 00:08:01,720 --> 00:08:02,280 Speaker 3: great show. 153 00:08:02,720 --> 00:08:04,640 Speaker 1: All right, So Jane and I had a pretty interesting 154 00:08:04,680 --> 00:08:08,280 Speaker 1: conversation over email about the you know, the ethics of 155 00:08:08,320 --> 00:08:11,240 Speaker 1: this question. And I guess I'm a little bit of 156 00:08:11,280 --> 00:08:14,480 Speaker 1: a negative Nelly. I'm not sure anything is going to 157 00:08:14,520 --> 00:08:17,280 Speaker 1: put a dent in the way we treat animals that 158 00:08:17,280 --> 00:08:20,600 Speaker 1: we also eat. But it made me want to do 159 00:08:20,640 --> 00:08:24,000 Speaker 1: a whole episode on zeno transplantation because there has in 160 00:08:24,040 --> 00:08:28,320 Speaker 1: the news recently been some pretty exciting updates in this field, 161 00:08:28,440 --> 00:08:30,360 Speaker 1: and so I thought this would be a great chance 162 00:08:30,400 --> 00:08:31,920 Speaker 1: to sort of catch up on that research. 163 00:08:32,000 --> 00:08:34,880 Speaker 2: All right, so let's get started. Why do we even 164 00:08:34,960 --> 00:08:38,240 Speaker 2: consider taking organs from pigs? I mean, obviously I would 165 00:08:38,280 --> 00:08:41,160 Speaker 2: prefer human organ if I'm going to receive a transplant. 166 00:08:41,600 --> 00:08:43,319 Speaker 2: Why do we consider other species? 167 00:08:43,559 --> 00:08:46,080 Speaker 1: Well, there's just not enough of the human organs. So 168 00:08:47,040 --> 00:08:51,000 Speaker 1: last year there were forty eight thousand transplants that happened 169 00:08:51,040 --> 00:08:53,240 Speaker 1: in the United States, and so that's a lot, and 170 00:08:53,280 --> 00:08:56,920 Speaker 1: that's fantastic, but it's less than fifty percent of the 171 00:08:57,000 --> 00:08:59,720 Speaker 1: number of people who are on the list and need organs. 172 00:09:00,160 --> 00:09:03,440 Speaker 1: So there's this massive difference between the number of people 173 00:09:03,440 --> 00:09:05,720 Speaker 1: who get organs and the number of people who need them, 174 00:09:06,120 --> 00:09:08,960 Speaker 1: and there's probably even more people who need them, but 175 00:09:09,000 --> 00:09:11,800 Speaker 1: they're not on the weight list for a variety of reasons. 176 00:09:12,080 --> 00:09:15,200 Speaker 1: It could be that it just seems unlikely that an 177 00:09:15,320 --> 00:09:17,400 Speaker 1: organ that's the right match will come through for them 178 00:09:17,440 --> 00:09:21,080 Speaker 1: on time, and so some people who would like new organs, 179 00:09:21,160 --> 00:09:22,920 Speaker 1: you know, don't even put themselves on the weight list. 180 00:09:23,000 --> 00:09:26,760 Speaker 1: So if we had a lot of organs, then there's 181 00:09:26,800 --> 00:09:28,760 Speaker 1: a lot more people who would be in a good position. 182 00:09:28,880 --> 00:09:31,160 Speaker 1: So where do we get the organs we have now? 183 00:09:31,720 --> 00:09:33,959 Speaker 1: So this is something we've already sort of hinted at 184 00:09:33,960 --> 00:09:37,160 Speaker 1: in this episode. When somebody passes away, for example, in 185 00:09:37,200 --> 00:09:41,000 Speaker 1: a car accident, they're organs. The organs that you know 186 00:09:41,240 --> 00:09:43,400 Speaker 1: are still in good shape can be given to other 187 00:09:43,440 --> 00:09:45,680 Speaker 1: people who need them if you can find people who 188 00:09:45,720 --> 00:09:48,320 Speaker 1: are a good match. So being a good match. We 189 00:09:48,400 --> 00:09:50,280 Speaker 1: have different blood types, you know, if you go in 190 00:09:50,360 --> 00:09:53,360 Speaker 1: to donate blood, they'll tell you what your blood type is. Essentially, 191 00:09:53,360 --> 00:09:56,280 Speaker 1: we've got stuff that stick out on our cells, and 192 00:09:56,760 --> 00:09:59,400 Speaker 1: if your stuff that sticks out on your cells looks 193 00:09:59,440 --> 00:10:02,240 Speaker 1: different the stuff that sticks out on someone else's cells, 194 00:10:02,600 --> 00:10:04,880 Speaker 1: then your body's going to recognize that as foreign and 195 00:10:04,920 --> 00:10:06,640 Speaker 1: the immune system is going to go after it and 196 00:10:06,720 --> 00:10:09,480 Speaker 1: kill it. So the organ that you get needs to 197 00:10:09,520 --> 00:10:12,199 Speaker 1: look like an organ that would have been in your 198 00:10:12,200 --> 00:10:14,320 Speaker 1: body to begin with. Otherwise the immune system is going 199 00:10:14,360 --> 00:10:14,880 Speaker 1: to go nuts. 200 00:10:15,160 --> 00:10:18,000 Speaker 2: Fascinating, And then does having a good match guarantee that 201 00:10:18,040 --> 00:10:20,560 Speaker 2: the immune system is going to be cool or do 202 00:10:20,600 --> 00:10:23,840 Speaker 2: you still need to take immune suppressants your whole life. 203 00:10:24,120 --> 00:10:26,680 Speaker 1: You still need to take immunosupressants your whole life, which 204 00:10:26,720 --> 00:10:31,120 Speaker 1: means you might be at greater risk of things like infections. Also, 205 00:10:31,200 --> 00:10:34,200 Speaker 1: I think immunosuppressants make it slightly more likely that you 206 00:10:34,240 --> 00:10:37,040 Speaker 1: could get cancer later in your life. But you know, 207 00:10:37,240 --> 00:10:39,880 Speaker 1: if the surgery goes well, then your life will be extended, 208 00:10:39,960 --> 00:10:42,079 Speaker 1: even though you'll have these problems to deal with. 209 00:10:42,280 --> 00:10:45,000 Speaker 2: I remember, in our conversation about type one diabetes, Katrina 210 00:10:45,080 --> 00:10:47,679 Speaker 2: was saying that you could cure type one diabetes by 211 00:10:47,720 --> 00:10:51,680 Speaker 2: getting a pancreaus donation. But then you have immunosuppression, and 212 00:10:51,720 --> 00:10:53,920 Speaker 2: that's pretty hard for somebody who's very young. 213 00:10:54,320 --> 00:10:57,480 Speaker 1: Yeah, and even today sometimes we don't get that immunosuppression 214 00:10:57,600 --> 00:11:00,640 Speaker 1: level completely correct. And so if you give people too 215 00:11:00,679 --> 00:11:04,400 Speaker 1: many immunosuppressive drugs, then you know, people can get horrible 216 00:11:04,440 --> 00:11:07,359 Speaker 1: diseases and then they can pass away from those diseases. 217 00:11:07,800 --> 00:11:10,040 Speaker 1: It's a very delicate balance, and so a fair bit 218 00:11:10,080 --> 00:11:12,520 Speaker 1: of your life from then on out goes towards trying 219 00:11:12,559 --> 00:11:14,680 Speaker 1: to like modulate your immune systems so that you don't 220 00:11:14,679 --> 00:11:16,920 Speaker 1: get sick, but you don't reject this organ. 221 00:11:17,160 --> 00:11:20,160 Speaker 2: And what organs are mostly the ones being donated? Is 222 00:11:20,200 --> 00:11:21,720 Speaker 2: it mostly like kidneys and livers? 223 00:11:21,920 --> 00:11:25,400 Speaker 1: Yeah, mostly kidneys, and then after that livers, and sometimes 224 00:11:25,400 --> 00:11:29,160 Speaker 1: you'll get lungs or hearts. I think kidneys are so 225 00:11:29,400 --> 00:11:32,800 Speaker 1: common because if you have a problem with your kidney, 226 00:11:32,840 --> 00:11:35,520 Speaker 1: you can stay on dialysis. So dialysis is essentially a 227 00:11:35,559 --> 00:11:38,040 Speaker 1: machine that cleans your blood, does the job that kidneys 228 00:11:38,040 --> 00:11:40,520 Speaker 1: would have done, and so you can stay alive for 229 00:11:40,640 --> 00:11:43,440 Speaker 1: years on this machine. It's not a great quality of life, 230 00:11:43,720 --> 00:11:46,079 Speaker 1: but you can wait for years for an organ to 231 00:11:46,160 --> 00:11:49,400 Speaker 1: come along, whereas it's harder to get machines that replace 232 00:11:49,480 --> 00:11:52,040 Speaker 1: our heart or our lungs or our liver. You can 233 00:11:52,080 --> 00:11:53,400 Speaker 1: do that, but it's not the kind of thing that 234 00:11:53,440 --> 00:11:55,640 Speaker 1: you can do for like years at a time. And 235 00:11:55,679 --> 00:11:59,640 Speaker 1: so kidneys are an easy ish organ to deal with 236 00:11:59,720 --> 00:12:02,480 Speaker 1: or to wait for replacement. And another way that we 237 00:12:02,520 --> 00:12:05,280 Speaker 1: get organs are through living donors, and so if you 238 00:12:05,440 --> 00:12:08,920 Speaker 1: happen to have an identical twin who you get along with, 239 00:12:09,440 --> 00:12:11,600 Speaker 1: and they're willing to give you one of their kidneys. 240 00:12:12,000 --> 00:12:13,640 Speaker 1: If you two are a blood match, which you would 241 00:12:13,679 --> 00:12:15,760 Speaker 1: be if you were identical twins, then they can donate 242 00:12:15,800 --> 00:12:18,000 Speaker 1: one of their kidneys to you and they can still 243 00:12:18,040 --> 00:12:20,520 Speaker 1: live with just one kidney, and then you get one 244 00:12:20,520 --> 00:12:24,040 Speaker 1: of their kidneys. But say you don't have an identical 245 00:12:24,080 --> 00:12:26,040 Speaker 1: twin and it turns out that your siblings and no 246 00:12:26,080 --> 00:12:28,439 Speaker 1: one in your family is a good match, then for 247 00:12:28,480 --> 00:12:30,320 Speaker 1: a while there you were kind of out of luck. 248 00:12:30,760 --> 00:12:35,320 Speaker 1: But recently this system has been created called matching markets. 249 00:12:35,679 --> 00:12:39,040 Speaker 1: So essentially, if I needed a kidney and Zach was like, 250 00:12:39,200 --> 00:12:41,240 Speaker 1: I'll give you one of mine, and he's not that nice, 251 00:12:41,240 --> 00:12:43,640 Speaker 1: I'm not sure he would, but no, I'm kidding, No, 252 00:12:43,679 --> 00:12:45,920 Speaker 1: I'm kidding, he'd give me his kidney. But so if 253 00:12:45,960 --> 00:12:47,560 Speaker 1: Zach was like, well, I'll give you my kidney, but 254 00:12:47,600 --> 00:12:49,760 Speaker 1: it turned out we weren't a match, we could enter 255 00:12:49,840 --> 00:12:52,959 Speaker 1: our names into a matching market and if somebody else 256 00:12:53,200 --> 00:12:57,240 Speaker 1: had a you know, a sibling, a boyfriend, whatever, who 257 00:12:57,360 --> 00:13:00,160 Speaker 1: was a match to me, And it turned out that 258 00:13:00,280 --> 00:13:03,920 Speaker 1: Zach was a match to them, then we could create 259 00:13:03,960 --> 00:13:06,080 Speaker 1: that loop and we could switch the kidney, so I 260 00:13:06,080 --> 00:13:08,640 Speaker 1: would get you know, that boyfriend's kidney, Zach would give 261 00:13:08,640 --> 00:13:12,480 Speaker 1: his kidney to you know, the other boyfriend, and then 262 00:13:12,640 --> 00:13:15,600 Speaker 1: we would manage to make the loop that way. And 263 00:13:15,640 --> 00:13:19,040 Speaker 1: you can get really complicated loops where people are swapping 264 00:13:19,160 --> 00:13:22,600 Speaker 1: organs and you know, I think more than twenty of 265 00:13:22,840 --> 00:13:25,959 Speaker 1: these pairs have gone through these loops. And so by 266 00:13:26,000 --> 00:13:27,800 Speaker 1: having a bunch of people who are willing to donate, 267 00:13:28,000 --> 00:13:29,920 Speaker 1: you can make a lot of matches in this system, 268 00:13:30,400 --> 00:13:32,280 Speaker 1: and so some of the matches come from that, but 269 00:13:32,320 --> 00:13:35,360 Speaker 1: those can be a little bit complicated because if everybody 270 00:13:35,360 --> 00:13:38,040 Speaker 1: owes a kidney to somebody else, then you want to 271 00:13:38,040 --> 00:13:41,120 Speaker 1: try to do those surgeries as much as possible at 272 00:13:41,120 --> 00:13:43,720 Speaker 1: the exact same time, so that nobody wakes up in 273 00:13:43,760 --> 00:13:46,360 Speaker 1: the morning and is like, never mind, I'm too nervous, 274 00:13:46,400 --> 00:13:47,880 Speaker 1: I'm not going to do it, and then one person's 275 00:13:47,880 --> 00:13:49,880 Speaker 1: gotten a kidney, and now somebody else is sort of 276 00:13:50,360 --> 00:13:51,120 Speaker 1: left in the lurch. 277 00:13:51,280 --> 00:13:53,319 Speaker 2: You want to like them all in beds in a row. 278 00:13:53,480 --> 00:13:54,920 Speaker 2: You're just like, ask the kidney. 279 00:13:54,640 --> 00:13:57,760 Speaker 1: Over to the left, right, Yeah, something like that, And 280 00:13:58,040 --> 00:13:59,760 Speaker 1: so I think two percent of the time, you do 281 00:13:59,880 --> 00:14:02,920 Speaker 1: have an instance where somebody will come in and you know, 282 00:14:02,960 --> 00:14:05,640 Speaker 1: it's not necessarily that they like they've changed their mind 283 00:14:05,679 --> 00:14:07,280 Speaker 1: or they got too scared to go through with it. 284 00:14:07,360 --> 00:14:10,160 Speaker 1: Sometimes it's just like, hey, actually, it turns out that 285 00:14:10,240 --> 00:14:12,760 Speaker 1: we discovered they have I don't know, some disease, and 286 00:14:12,800 --> 00:14:15,080 Speaker 1: so they can no longer donate that organ. And so 287 00:14:15,640 --> 00:14:17,319 Speaker 1: there's good reason for not being able to do it. 288 00:14:17,400 --> 00:14:18,640 Speaker 1: But every once in a while you get a good 289 00:14:18,640 --> 00:14:22,480 Speaker 1: Samaritan who doesn't necessarily know somebody who needs a kidney, 290 00:14:22,480 --> 00:14:24,680 Speaker 1: but they're just willing to donate one, and then you 291 00:14:24,680 --> 00:14:28,240 Speaker 1: can get this whole match set off and you can 292 00:14:28,280 --> 00:14:31,000 Speaker 1: start doing a bunch of kidney transfers between people. So 293 00:14:31,040 --> 00:14:33,320 Speaker 1: anyway there is a bunch of people who are alive 294 00:14:33,440 --> 00:14:36,000 Speaker 1: and donate their kidneys, and because we only need one, 295 00:14:36,120 --> 00:14:39,080 Speaker 1: you can do this. It happens less often with livers, 296 00:14:39,440 --> 00:14:41,800 Speaker 1: so you can live with just part of a liver, 297 00:14:41,960 --> 00:14:44,880 Speaker 1: so you could donate part of it. But this surgery 298 00:14:44,960 --> 00:14:47,200 Speaker 1: is a little bit more high risk, and so it's 299 00:14:47,400 --> 00:14:49,600 Speaker 1: asking a lot more than just asking someone to give 300 00:14:49,600 --> 00:14:50,560 Speaker 1: you one of their kidneys. 301 00:14:50,760 --> 00:14:53,400 Speaker 2: And what are the ethics around this because people have 302 00:14:53,480 --> 00:14:56,600 Speaker 2: these very valuable resources which can save somebody else's life. 303 00:14:56,680 --> 00:14:59,520 Speaker 2: But obviously you need their consent, but it feels like 304 00:14:59,520 --> 00:15:02,400 Speaker 2: they could all be pressured into it. It reminds me 305 00:15:02,440 --> 00:15:04,760 Speaker 2: of the questions people raise around end of life stuff. 306 00:15:04,880 --> 00:15:06,880 Speaker 2: Or it's like, yeah, it's great if people get to 307 00:15:06,920 --> 00:15:09,920 Speaker 2: decide when they exit, but do you want grandma to 308 00:15:09,920 --> 00:15:12,920 Speaker 2: be pressured into the grave by her nephew who needs 309 00:15:12,920 --> 00:15:16,480 Speaker 2: the inheritance? Right? Right? And so there's tricky issues. 310 00:15:16,160 --> 00:15:19,080 Speaker 1: There, aren't there, Yeah, really tricky issues. And there was 311 00:15:19,160 --> 00:15:22,560 Speaker 1: for a while, all right. So I'm pulling way back 312 00:15:22,560 --> 00:15:24,880 Speaker 1: in my memory from when I was writing soonish, I 313 00:15:24,880 --> 00:15:26,320 Speaker 1: think I'm going to get all of this right. But 314 00:15:26,400 --> 00:15:31,520 Speaker 1: I ran used to allow legal selling of organs, and 315 00:15:31,600 --> 00:15:33,800 Speaker 1: it did seem to be the case that the poor 316 00:15:33,840 --> 00:15:36,520 Speaker 1: were getting exploited, and they were often not getting paid 317 00:15:36,600 --> 00:15:38,800 Speaker 1: very much for their organs, and then when they had 318 00:15:39,200 --> 00:15:41,680 Speaker 1: trouble of their own, for example, maybe they had a 319 00:15:41,760 --> 00:15:45,400 Speaker 1: problem with their remaining kidney, they couldn't afford the care 320 00:15:45,480 --> 00:15:48,640 Speaker 1: that they needed, oh gosh, And so that system was 321 00:15:48,640 --> 00:15:52,200 Speaker 1: not working very well. There are folks who recommend, you know, 322 00:15:52,600 --> 00:15:54,720 Speaker 1: in the US, for example, you had a system where 323 00:15:54,760 --> 00:15:57,800 Speaker 1: if somebody is willing to donate their kidney, it doesn't 324 00:15:57,840 --> 00:16:01,400 Speaker 1: go to a person in particular, Like some super rich 325 00:16:01,440 --> 00:16:05,720 Speaker 1: person couldn't say I want Daniel's kidney in particular, but 326 00:16:05,880 --> 00:16:09,360 Speaker 1: Daniel could say, you know, for a million dollars, which 327 00:16:09,520 --> 00:16:13,240 Speaker 1: is about the cost of dialysis for a year. So 328 00:16:13,560 --> 00:16:16,920 Speaker 1: like you can imagine a insurance company maybe saying, all right, 329 00:16:16,960 --> 00:16:20,600 Speaker 1: we'll give Daniel a million dollars so that this other 330 00:16:20,840 --> 00:16:22,880 Speaker 1: patient of ours doesn't have to be on dialysis for 331 00:16:22,920 --> 00:16:26,680 Speaker 1: three years, and we promise that if Daniel ever has 332 00:16:26,680 --> 00:16:28,800 Speaker 1: a problem with his remaining kidney, he goes to the 333 00:16:28,800 --> 00:16:32,360 Speaker 1: top of the list and he always gets free medical 334 00:16:32,360 --> 00:16:35,920 Speaker 1: care for anything related to kidney problems. But there's this 335 00:16:36,000 --> 00:16:39,320 Speaker 1: concept of repugnance in economics, and there's some trades that 336 00:16:39,360 --> 00:16:41,880 Speaker 1: people feel comfortable with and some trades that people don't 337 00:16:41,880 --> 00:16:45,360 Speaker 1: feel comfortable with, and trading organs sort of falls into 338 00:16:45,360 --> 00:16:49,320 Speaker 1: the category of repugnant. People just kind of feel uncomfortable 339 00:16:49,320 --> 00:16:51,120 Speaker 1: about it. For the reason that you identified. There's so 340 00:16:51,120 --> 00:16:54,760 Speaker 1: many ways to do it that feel ethically complicated, and 341 00:16:54,800 --> 00:16:57,000 Speaker 1: you can absolutely imagine that people who are the most 342 00:16:57,040 --> 00:16:59,520 Speaker 1: likely to donate their organs, or people who are in 343 00:16:59,600 --> 00:17:03,560 Speaker 1: financial straits and wouldn't be doing it otherwise, but absolutely 344 00:17:03,760 --> 00:17:05,560 Speaker 1: feel like they need to do it to like, you know, 345 00:17:05,640 --> 00:17:08,520 Speaker 1: pay their bills or something. So it gets complicated. But 346 00:17:08,600 --> 00:17:11,080 Speaker 1: in the US you are not allowed to pay for organs. 347 00:17:11,200 --> 00:17:12,479 Speaker 2: And do you think it happens anyway? 348 00:17:13,880 --> 00:17:14,400 Speaker 1: Probably? 349 00:17:14,520 --> 00:17:17,080 Speaker 2: I mean, it definitely happens in the dystopian science fiction 350 00:17:17,160 --> 00:17:18,960 Speaker 2: that I read. I don't know if that means it 351 00:17:19,000 --> 00:17:19,920 Speaker 2: happens in reality. 352 00:17:20,000 --> 00:17:21,440 Speaker 1: Yeah. Well, you know, when I was reading the Space 353 00:17:21,480 --> 00:17:23,840 Speaker 1: Settlement literature, they cited the expanse a lot as though 354 00:17:23,840 --> 00:17:26,439 Speaker 1: that was actually happening. So if it's happening in dystopian 355 00:17:26,560 --> 00:17:29,280 Speaker 1: science fiction, it's probably happening in real life. 356 00:17:29,480 --> 00:17:32,159 Speaker 2: Well, since we're talking about science fiction, why can't we 357 00:17:32,200 --> 00:17:35,560 Speaker 2: avoid this problem by figuring out how to grow organs ourselves? 358 00:17:35,560 --> 00:17:37,600 Speaker 2: Like why do you need a whole human being just 359 00:17:37,640 --> 00:17:40,000 Speaker 2: to create a human kidney. Why can't you just grow 360 00:17:40,040 --> 00:17:42,399 Speaker 2: a kidney in a vat somewhere or like three D 361 00:17:42,520 --> 00:17:44,600 Speaker 2: print a kidney or something like that. 362 00:17:44,720 --> 00:17:46,560 Speaker 1: Yeah, so people are working on that. So the idea 363 00:17:46,600 --> 00:17:49,320 Speaker 1: here is that you extract some cells from a person, 364 00:17:49,400 --> 00:17:52,480 Speaker 1: you grow up their own cells, and then you like 365 00:17:52,560 --> 00:17:54,520 Speaker 1: extrude them through a three D printer or do some 366 00:17:54,560 --> 00:17:57,560 Speaker 1: other sort of complicated technique to create an organ out 367 00:17:57,600 --> 00:17:59,959 Speaker 1: of their own cells. If this worked, you wouldn't need 368 00:18:00,080 --> 00:18:03,000 Speaker 1: to be on immunosuppressive drugs. It would be amazing. But 369 00:18:03,080 --> 00:18:08,359 Speaker 1: the problem is that our organs are exquisitely complicated, and 370 00:18:08,680 --> 00:18:12,720 Speaker 1: even just things like delivering nutrients and removing waste, which 371 00:18:12,760 --> 00:18:16,240 Speaker 1: you know we usually do with our vasculature our blood vessels, 372 00:18:16,720 --> 00:18:19,600 Speaker 1: is really hard to recreate with a three D printer, 373 00:18:19,720 --> 00:18:22,360 Speaker 1: like on the microscale, And so right now we're good 374 00:18:22,400 --> 00:18:25,399 Speaker 1: at printing what are called organoids. They're like slabs of 375 00:18:25,520 --> 00:18:28,080 Speaker 1: organ and so that's good for like testing out drugs 376 00:18:28,080 --> 00:18:30,879 Speaker 1: and stuff. So you know, if your liver drug kills 377 00:18:30,920 --> 00:18:33,760 Speaker 1: your little liver slab, you probably don't move on to 378 00:18:33,840 --> 00:18:36,320 Speaker 1: the stage where you're trying it out on humans. But 379 00:18:36,480 --> 00:18:39,320 Speaker 1: at the moment, it's not good enough to replace any organs. 380 00:18:39,320 --> 00:18:42,800 Speaker 1: People are working on that. There's some really amazing work 381 00:18:43,000 --> 00:18:47,199 Speaker 1: to create like vasculature out of like sinered sugar, So 382 00:18:47,280 --> 00:18:50,679 Speaker 1: you fuse the sugar so it looks like vasculature, and 383 00:18:50,680 --> 00:18:53,720 Speaker 1: then you seed it with blood vessel cells and those 384 00:18:53,720 --> 00:18:56,800 Speaker 1: blood vessel cells grow around the sugar and then you 385 00:18:56,880 --> 00:18:59,520 Speaker 1: put hot water through there and you dissolve the sugar away, 386 00:18:59,520 --> 00:19:02,120 Speaker 1: and your left with vasculature whoa, and then you can 387 00:19:02,440 --> 00:19:04,040 Speaker 1: put like liver cells around that. 388 00:19:04,200 --> 00:19:06,280 Speaker 2: But all this talk of sugar, I'm just imagining like 389 00:19:06,280 --> 00:19:08,200 Speaker 2: a cotton candy kidney or something. 390 00:19:09,359 --> 00:19:12,040 Speaker 1: Yum. Oh, we got to we kind of got to cannibalism. 391 00:19:12,280 --> 00:19:13,080 Speaker 1: I think you know. 392 00:19:15,040 --> 00:19:15,960 Speaker 2: I tricked you into it. 393 00:19:16,160 --> 00:19:18,960 Speaker 1: That's all right, that's right, Okay, So let's take a break, 394 00:19:19,000 --> 00:19:20,680 Speaker 1: and then when we come back from the break, we'll 395 00:19:20,720 --> 00:19:25,240 Speaker 1: talk about xeno transplantation, where you're forgetting about human organs 396 00:19:25,280 --> 00:19:27,920 Speaker 1: altogether and instead we're just seeing if we can use 397 00:19:28,000 --> 00:19:52,840 Speaker 1: organs from other animals. Okay, So, xeno transplantation, which is 398 00:19:52,880 --> 00:19:56,200 Speaker 1: when you use organs from other animals in human bodies, 399 00:19:56,680 --> 00:19:59,480 Speaker 1: has a pretty long history. We're going to stick with 400 00:19:59,520 --> 00:20:02,080 Speaker 1: the history in the twentieth century. And you know, I 401 00:20:02,080 --> 00:20:05,399 Speaker 1: should say that the history of this field is august 402 00:20:05,600 --> 00:20:08,719 Speaker 1: and amazing, and the scientific work that's been done is fantastic. 403 00:20:08,920 --> 00:20:11,720 Speaker 1: But I am going to start with the guy who 404 00:20:11,840 --> 00:20:16,800 Speaker 1: was implanting testicles for anti aging, because I'm me and 405 00:20:16,840 --> 00:20:18,399 Speaker 1: that's obviously where I had to start. 406 00:20:18,520 --> 00:20:21,800 Speaker 2: But you're saying these experiments are maybe not representative of 407 00:20:21,840 --> 00:20:23,760 Speaker 2: the scientific calimber of the whole field. 408 00:20:23,920 --> 00:20:26,080 Speaker 1: I mean, it was pretty representative of science in the 409 00:20:26,160 --> 00:20:28,159 Speaker 1: nineteen twenties. But you know, I don't want you to 410 00:20:28,240 --> 00:20:30,359 Speaker 1: judge the whole field based on this story I'm about 411 00:20:30,359 --> 00:20:32,160 Speaker 1: to tell, all right, tell us the story, all right. 412 00:20:32,160 --> 00:20:35,800 Speaker 1: So Sergey Varnoff in the nineteen twenties and nineteen thirties, 413 00:20:35,840 --> 00:20:38,680 Speaker 1: he was doing these experiments. He was a Russian emigray 414 00:20:38,800 --> 00:20:42,960 Speaker 1: living in Paris, and he was implanting slices of chimp 415 00:20:43,040 --> 00:20:48,880 Speaker 1: and baboon testicles into human males as an anti aging thing. 416 00:20:49,240 --> 00:20:51,280 Speaker 2: Where into human males, like. 417 00:20:51,320 --> 00:20:53,480 Speaker 1: Near the testicles, it would be like you'd get a 418 00:20:53,520 --> 00:21:00,000 Speaker 1: little slice of chimp nard behind yours and sorry everybody. 419 00:21:00,440 --> 00:21:02,919 Speaker 1: And there were some people who reported afterwards that they 420 00:21:03,080 --> 00:21:07,159 Speaker 1: felt more virile and alive, and I suspect that that 421 00:21:07,359 --> 00:21:11,920 Speaker 1: was entirely placebo effect. And they're lucky they didn't get 422 00:21:12,000 --> 00:21:15,520 Speaker 1: massive infections in their testicles from these foreign cells being 423 00:21:16,200 --> 00:21:19,159 Speaker 1: placed in that so delicate of an area. 424 00:21:19,200 --> 00:21:21,199 Speaker 2: But were they like wired up with blood vessels and 425 00:21:21,200 --> 00:21:23,040 Speaker 2: stuff so they could live or it was just like 426 00:21:23,080 --> 00:21:24,160 Speaker 2: a chunk of dead. 427 00:21:24,000 --> 00:21:26,080 Speaker 1: Flesh yeah, it was a chunk of dead flesh that 428 00:21:26,160 --> 00:21:29,320 Speaker 1: was definitely going to die, super gross. It was not 429 00:21:29,359 --> 00:21:31,879 Speaker 1: going to be like producing more testosterone or anything like 430 00:21:31,920 --> 00:21:33,720 Speaker 1: that the way they had done it. And if you 431 00:21:33,760 --> 00:21:36,159 Speaker 1: went to the US, there was like a charlatan who 432 00:21:36,200 --> 00:21:38,240 Speaker 1: I believe he was pretending to be a medical doctor, 433 00:21:38,280 --> 00:21:42,520 Speaker 1: and he was giving folks testicles from like super viral goats. 434 00:21:42,880 --> 00:21:45,000 Speaker 2: This is like zombie goat testicles. This is not good. 435 00:21:45,040 --> 00:21:47,720 Speaker 2: I don't understand why anybody would say yes to this. 436 00:21:48,400 --> 00:21:49,920 Speaker 1: So, I mean, I don't feel like this is a 437 00:21:49,960 --> 00:21:53,080 Speaker 1: metaphor we need to double down on. But I would say, 438 00:21:53,080 --> 00:21:56,720 Speaker 1: these goat testicles aren't like coming back to life inside 439 00:21:56,800 --> 00:21:59,320 Speaker 1: of this human, you know. I think they're just like 440 00:21:59,640 --> 00:22:03,000 Speaker 1: they're they're in there and they decay away and if 441 00:22:03,000 --> 00:22:05,760 Speaker 1: you're lucky, it won't cause a massive infection, right, and 442 00:22:05,800 --> 00:22:08,439 Speaker 1: that's the best case scenario. All right. So then this 443 00:22:08,480 --> 00:22:10,600 Speaker 1: got dropped for a while because this wasn't really working out. 444 00:22:11,119 --> 00:22:15,200 Speaker 1: In the nineteen sixties, we try transplanting chimpanzees and bonobo 445 00:22:15,680 --> 00:22:19,560 Speaker 1: kidneys into humans directly. One woman lived with the chimpanzee 446 00:22:19,600 --> 00:22:21,960 Speaker 1: kidney for about nine months wow, which was a pretty 447 00:22:22,000 --> 00:22:24,639 Speaker 1: long time to have your life extended. But in general 448 00:22:24,720 --> 00:22:28,960 Speaker 1: these surgeries don't work because human immune systems reject these 449 00:22:29,040 --> 00:22:31,879 Speaker 1: foreign organs, and so some people the rejection takes a 450 00:22:31,920 --> 00:22:35,440 Speaker 1: little longer, others it happens more quickly. But it becomes 451 00:22:35,440 --> 00:22:40,120 Speaker 1: clear that just straight up implantation of kidney and banobo 452 00:22:40,280 --> 00:22:43,080 Speaker 1: organs into a human is not going to solve our problems. 453 00:22:43,200 --> 00:22:46,240 Speaker 2: Well, we heard earlier that not even all human kidneys work. Right, 454 00:22:46,280 --> 00:22:47,879 Speaker 2: if I need a transplant, I can't just get a 455 00:22:47,960 --> 00:22:50,919 Speaker 2: random human. I need a specific human that's probably not 456 00:22:50,960 --> 00:22:54,080 Speaker 2: going to trigger my immune system. So that makes it 457 00:22:54,160 --> 00:22:56,840 Speaker 2: sound very unlikely that any chimp would work. But when 458 00:22:56,840 --> 00:22:59,160 Speaker 2: they do this, do they like choose a chimp that's 459 00:22:59,280 --> 00:23:01,199 Speaker 2: less likely to trigger an immune system, and do you 460 00:23:01,200 --> 00:23:04,000 Speaker 2: have like a chimp match. You know, some chimps were 461 00:23:04,000 --> 00:23:05,400 Speaker 2: better for donating kidneys. 462 00:23:05,520 --> 00:23:08,359 Speaker 1: So at this point we didn't really understand blood types, 463 00:23:08,520 --> 00:23:11,040 Speaker 1: and so we were just kind of hoping that chimpanzees 464 00:23:11,080 --> 00:23:13,600 Speaker 1: were closely related enough to humans that this would work. 465 00:23:13,880 --> 00:23:16,199 Speaker 1: It was a little bit after this where we started 466 00:23:16,240 --> 00:23:19,479 Speaker 1: to figure out that oh, hey, even within species, like 467 00:23:19,480 --> 00:23:22,439 Speaker 1: with dogs, if you transfer organs from one dog to another, 468 00:23:22,760 --> 00:23:25,720 Speaker 1: sometimes it works. Sometimes it doesn't, and it took a 469 00:23:25,720 --> 00:23:28,360 Speaker 1: while for us to figure out that that all depended 470 00:23:28,400 --> 00:23:31,280 Speaker 1: on blood types. And so once we figured that out, 471 00:23:31,320 --> 00:23:33,360 Speaker 1: I think it was in dogs. I read this great 472 00:23:33,359 --> 00:23:36,720 Speaker 1: book called Spare about the history of organ transplantation. They 473 00:23:36,720 --> 00:23:39,280 Speaker 1: talk about blood type and how we figured that stuff 474 00:23:39,280 --> 00:23:42,159 Speaker 1: out in more detail if anybody's interested. But once we 475 00:23:42,240 --> 00:23:44,439 Speaker 1: figured it out in humans, we realized, Okay, so this 476 00:23:44,480 --> 00:23:47,440 Speaker 1: isn't going to work with chimpanzees. They're two distantly related, 477 00:23:47,440 --> 00:23:50,080 Speaker 1: same with bonobos. Even with humans, you need to figure 478 00:23:50,080 --> 00:23:52,640 Speaker 1: out blood types. But I told you at the start 479 00:23:52,640 --> 00:23:55,920 Speaker 1: of the episode that we've made some progress in zeno transplantation, 480 00:23:56,560 --> 00:23:59,040 Speaker 1: and the way that we've done that is by genetically 481 00:23:59,080 --> 00:24:02,639 Speaker 1: engineering pigs so that they look more human. 482 00:24:03,080 --> 00:24:06,439 Speaker 2: That's really interesting, Kelly. I wouldn't choose pigs necessarily. Tell me, 483 00:24:06,520 --> 00:24:09,520 Speaker 2: why would we choose pigs to be our organ farmers. 484 00:24:09,640 --> 00:24:15,040 Speaker 1: That's such a great question, Daniel. So chimpanzees and bonobos 485 00:24:15,040 --> 00:24:17,240 Speaker 1: are more closely related to us, so they seem like 486 00:24:17,240 --> 00:24:20,160 Speaker 1: a more obvious choice. But they've got a couple problems. 487 00:24:20,200 --> 00:24:22,280 Speaker 1: So first of all, they're smaller than us, so their 488 00:24:22,400 --> 00:24:25,479 Speaker 1: organs are smaller. And that was a problem in some 489 00:24:25,560 --> 00:24:28,360 Speaker 1: of the surgeries that were tried earlier. The chimp kidneys 490 00:24:28,400 --> 00:24:32,679 Speaker 1: were too small, chimp hearts too small. But additionally, people 491 00:24:33,119 --> 00:24:38,480 Speaker 1: feel much more uncomfortable about euthanizing chimpanzees and bonobos because 492 00:24:38,480 --> 00:24:40,720 Speaker 1: they're more closely related to us, So there was this 493 00:24:40,800 --> 00:24:43,640 Speaker 1: idea that they would be more of an ethical backlash. 494 00:24:43,760 --> 00:24:46,640 Speaker 1: But perhaps even more than that, chimpanzees and bonobos take 495 00:24:46,680 --> 00:24:49,440 Speaker 1: a long time to reach sexual maturity, and then they 496 00:24:49,440 --> 00:24:52,360 Speaker 1: only have a few babies at a time, so you'd 497 00:24:52,400 --> 00:24:54,720 Speaker 1: have to scale up in a way that would be 498 00:24:54,800 --> 00:24:57,000 Speaker 1: very difficult, and we've never really done before to have 499 00:24:57,160 --> 00:25:00,240 Speaker 1: enough chimpanzees and bonobos to meet the knee. 500 00:25:00,440 --> 00:25:03,000 Speaker 2: You're talking about chimped farming, right. You're saying that it's 501 00:25:03,040 --> 00:25:05,760 Speaker 2: hard to get a big population. Yeah, wow, So you 502 00:25:05,800 --> 00:25:08,679 Speaker 2: want something that grows quickly and has babies young so 503 00:25:08,720 --> 00:25:12,280 Speaker 2: that you can get that exponential factor go it early. 504 00:25:12,520 --> 00:25:15,080 Speaker 1: Yikes, right, and your face is telling me that you 505 00:25:15,160 --> 00:25:18,520 Speaker 1: feel uncomfortable about this suggestion, which almost everybody else did. 506 00:25:19,160 --> 00:25:21,480 Speaker 1: The final nail in the coffin is that those more 507 00:25:21,480 --> 00:25:24,879 Speaker 1: closely related organisms are more likely to have diseases that 508 00:25:24,920 --> 00:25:27,120 Speaker 1: could jump from them to us, making this a little 509 00:25:27,119 --> 00:25:31,160 Speaker 1: bit scarier. So pigs are an organism that we already 510 00:25:31,200 --> 00:25:35,720 Speaker 1: know how to grow in like sort of production level. Yeah, 511 00:25:36,200 --> 00:25:39,920 Speaker 1: so they reach sexual maturity when they're young, they have 512 00:25:40,400 --> 00:25:43,520 Speaker 1: lots of babies. We know how to keep them alive. 513 00:25:43,680 --> 00:25:46,960 Speaker 1: We understand these organisms fairly well. We've got like their 514 00:25:47,000 --> 00:25:51,720 Speaker 1: genome and their organs are like fairly similar in size 515 00:25:51,760 --> 00:25:54,160 Speaker 1: to humans in a lot of ways, and so we've 516 00:25:54,200 --> 00:25:57,200 Speaker 1: sort of settled on pigs as our best bet as 517 00:25:57,280 --> 00:26:00,680 Speaker 1: starting material to tinker with to make organs to keep 518 00:26:00,720 --> 00:26:01,160 Speaker 1: us alive. 519 00:26:01,440 --> 00:26:03,760 Speaker 2: I don't know if that logic really holds. It's like, 520 00:26:04,359 --> 00:26:07,080 Speaker 2: this is ethically dubious, so let's do it on a 521 00:26:07,119 --> 00:26:11,240 Speaker 2: creature we're already mistreating ethically, right, Like we already treat 522 00:26:11,240 --> 00:26:14,320 Speaker 2: pigs as if they're objects, and so therefore it's okay 523 00:26:14,359 --> 00:26:16,679 Speaker 2: to treat them as objects, where it's not okay to 524 00:26:16,680 --> 00:26:20,680 Speaker 2: treat chimps as objects because we don't do that already, yes, 525 00:26:20,800 --> 00:26:22,600 Speaker 2: Or is it just about being closer to us? Is 526 00:26:22,600 --> 00:26:25,920 Speaker 2: this another like speciesism thing? Like how much of humanity's 527 00:26:25,960 --> 00:26:27,760 Speaker 2: rights do you get? Chimps get a little bit and 528 00:26:27,800 --> 00:26:28,920 Speaker 2: pigs get almost none? 529 00:26:29,119 --> 00:26:31,120 Speaker 1: Yes, I mean I think everything that you just said 530 00:26:31,280 --> 00:26:34,240 Speaker 1: is uncomfortable but true. But you've told me in a 531 00:26:34,240 --> 00:26:37,600 Speaker 1: previous episode that you have accepted that humans are just 532 00:26:37,640 --> 00:26:39,920 Speaker 1: sort of like a level above the other animals and 533 00:26:39,960 --> 00:26:43,040 Speaker 1: you are okay with eating them. And I feel like 534 00:26:43,080 --> 00:26:46,640 Speaker 1: you're not consistently applying that philosophy right now. 535 00:26:46,960 --> 00:26:51,480 Speaker 2: No, you're right, because consistently applying that philosophy means arbitrarily 536 00:26:51,560 --> 00:26:55,240 Speaker 2: labeling humans as better. And the point you just made 537 00:26:55,240 --> 00:26:58,399 Speaker 2: with chimps and bonobos is that there's a spectrum, right 538 00:26:58,520 --> 00:27:00,680 Speaker 2: and like where do you draw the line? And now 539 00:27:00,720 --> 00:27:03,280 Speaker 2: you have to have a fuzzy delineation of how much 540 00:27:03,280 --> 00:27:05,959 Speaker 2: of this like special glowy rights that you put on 541 00:27:05,960 --> 00:27:08,320 Speaker 2: people and how much do you not? And what if 542 00:27:08,320 --> 00:27:10,840 Speaker 2: somebody had a half pig half human hybrid, what would 543 00:27:10,880 --> 00:27:12,960 Speaker 2: they get? You know? And so yes, I am not 544 00:27:13,000 --> 00:27:16,240 Speaker 2: prepared to answer these questions. My philosophical framework here is 545 00:27:16,320 --> 00:27:17,120 Speaker 2: quite naive. 546 00:27:18,680 --> 00:27:21,360 Speaker 1: Yeah, I do think a lot of this stuff is complicated. 547 00:27:21,400 --> 00:27:24,280 Speaker 1: Like you know, if you go to some countries they 548 00:27:24,320 --> 00:27:26,920 Speaker 1: eat guinea pigs and it's like nothing. But if you 549 00:27:27,400 --> 00:27:29,760 Speaker 1: told a child in the US that you were gonna 550 00:27:29,800 --> 00:27:31,960 Speaker 1: have guinea pig for dinner, they'd probably be very upset 551 00:27:32,000 --> 00:27:35,439 Speaker 1: because we think of those animals as pets and not food. 552 00:27:35,880 --> 00:27:37,320 Speaker 1: And so I think a lot of it depends on 553 00:27:37,400 --> 00:27:39,960 Speaker 1: what you grew up feeling comfortable with. Like I know 554 00:27:40,040 --> 00:27:43,040 Speaker 1: some people who won't eat bunnies because they're too cute, 555 00:27:43,160 --> 00:27:46,439 Speaker 1: but they will eat pigs because they think they're not cute. 556 00:27:46,440 --> 00:27:48,479 Speaker 1: But I think pigs are cute, and I think anyway, 557 00:27:48,560 --> 00:27:51,400 Speaker 1: humans have very complicated feelings. But pigs are an organism 558 00:27:51,400 --> 00:27:53,960 Speaker 1: that I think a lot of people have decided is 559 00:27:54,000 --> 00:27:57,000 Speaker 1: okay to eat, although I know that there are you know, 560 00:27:57,080 --> 00:27:59,280 Speaker 1: cultures and religions for which that's not the case. 561 00:27:59,359 --> 00:28:01,280 Speaker 2: And at least we're not committing any more crimes. We're 562 00:28:01,280 --> 00:28:04,720 Speaker 2: committing more crimes on each individual, but we're not committing 563 00:28:04,720 --> 00:28:07,720 Speaker 2: crimes on more individuals. We're already raising these folks for meat, 564 00:28:08,119 --> 00:28:10,120 Speaker 2: and so might as well harvest their organs. 565 00:28:10,359 --> 00:28:15,040 Speaker 1: Yeah, it's not that easy actually, So in the US 566 00:28:15,080 --> 00:28:18,840 Speaker 1: we're very uncomfortable with eating genetically modified foods, and in 567 00:28:18,880 --> 00:28:22,600 Speaker 1: the European Union, I think it may even be completely prohibited. 568 00:28:23,119 --> 00:28:26,080 Speaker 1: And so I don't actually know if these pigs, after 569 00:28:26,119 --> 00:28:30,760 Speaker 1: having their organs harvested, would be sent out to become bacon. 570 00:28:30,880 --> 00:28:34,639 Speaker 1: For example, I will say that if the companies that 571 00:28:34,720 --> 00:28:37,160 Speaker 1: made these pigs said, you know, we're going to sell 572 00:28:37,200 --> 00:28:41,040 Speaker 1: pork from these animals that we used their organs for transplants, 573 00:28:41,440 --> 00:28:44,960 Speaker 1: and it's safe we eat it ourselves, then that would 574 00:28:44,960 --> 00:28:46,840 Speaker 1: be the pork that I would buy. But I don't 575 00:28:46,880 --> 00:28:49,000 Speaker 1: actually know that that's how it would play out, all right, So. 576 00:28:48,960 --> 00:28:51,520 Speaker 2: Then the key concept is that these aren't just normal 577 00:28:51,560 --> 00:28:54,280 Speaker 2: farm pigs. These are pigs have been genetically engineered to 578 00:28:54,360 --> 00:28:57,920 Speaker 2: make fair organs better for transplanting into humans. How do 579 00:28:58,000 --> 00:29:00,480 Speaker 2: you do that? Do you just like randomly breed pigs 580 00:29:00,680 --> 00:29:02,719 Speaker 2: or can we actually go in and tinker with the DNA? 581 00:29:03,000 --> 00:29:05,160 Speaker 1: Yeah, so you're gonna have to tinker with the DNA 582 00:29:05,200 --> 00:29:07,200 Speaker 1: because if you don't tinker with the DNA, you're always 583 00:29:07,240 --> 00:29:09,960 Speaker 1: going to have this immune system problem. And so recently 584 00:29:10,160 --> 00:29:13,120 Speaker 1: we got this major advance in tinkering with DNA. I'm 585 00:29:13,120 --> 00:29:15,000 Speaker 1: sure just about everybody has heard of this. This is 586 00:29:15,120 --> 00:29:19,320 Speaker 1: the CRISPER CAST nine system. So CRISPER stands for clustered 587 00:29:19,400 --> 00:29:23,680 Speaker 1: regularly interspaced short palindromic repeats. I'm sure everybody's going to 588 00:29:23,760 --> 00:29:27,920 Speaker 1: remember that the women who found this Jennifer Dudna and 589 00:29:27,960 --> 00:29:32,240 Speaker 1: Emmanuel Chapatier. What you do French stuff? Right? How do 590 00:29:32,280 --> 00:29:32,960 Speaker 1: you say that name? 591 00:29:33,120 --> 00:29:34,040 Speaker 2: That sounded pretty good. 592 00:29:34,120 --> 00:29:36,480 Speaker 1: Yeah, okay, fantastic. You know I've I've been working on 593 00:29:36,520 --> 00:29:38,040 Speaker 1: French and du a lingo. 594 00:29:37,760 --> 00:29:38,560 Speaker 2: To your microbiome. 595 00:29:38,680 --> 00:29:41,200 Speaker 1: Okay. So they got the Noball Prize for this work. 596 00:29:41,280 --> 00:29:46,920 Speaker 1: And so essentially this system is snagged from bacteria's immune system. 597 00:29:47,160 --> 00:29:51,360 Speaker 1: So the way this works is that bacteria remember, not 598 00:29:51,480 --> 00:29:53,600 Speaker 1: the same way that we remember things, but they remember 599 00:29:53,680 --> 00:29:57,280 Speaker 1: a virus that has infected them by essentially, when they 600 00:29:57,520 --> 00:30:00,680 Speaker 1: find that virus, they grab a piece of the virus's 601 00:30:00,720 --> 00:30:04,080 Speaker 1: genetic material and they stick it into their own genome. 602 00:30:04,480 --> 00:30:07,000 Speaker 1: And now whenever that viral sequence is found in their 603 00:30:07,000 --> 00:30:10,280 Speaker 1: body again, Crisper goes and cuts it to break it up. 604 00:30:10,360 --> 00:30:12,480 Speaker 2: So it's like a little bacterial immune system that like 605 00:30:12,520 --> 00:30:15,480 Speaker 2: a library of viral codes that they've seen before that 606 00:30:15,520 --> 00:30:15,840 Speaker 2: they're like. 607 00:30:15,840 --> 00:30:18,800 Speaker 1: This is bad, kill it, right, So you essentially have 608 00:30:19,000 --> 00:30:23,600 Speaker 1: a system that can recognize certain sequences of genetic code 609 00:30:23,920 --> 00:30:25,600 Speaker 1: and then it goes in there and it cuts it. 610 00:30:25,680 --> 00:30:28,800 Speaker 1: And so it's like targeted molecular scissors. And so we 611 00:30:28,920 --> 00:30:31,680 Speaker 1: can use this. We can say Okay, here's a pig, 612 00:30:32,000 --> 00:30:34,080 Speaker 1: and here is the code for a gene that we 613 00:30:34,120 --> 00:30:36,840 Speaker 1: want to tinker with. And so you can tell Crisper like, 614 00:30:37,040 --> 00:30:39,240 Speaker 1: go in there and cut it at the spots where 615 00:30:39,280 --> 00:30:40,680 Speaker 1: we want you to cut it, and now you can 616 00:30:40,760 --> 00:30:44,880 Speaker 1: deactivate a gene or when it cuts a gene. The 617 00:30:44,920 --> 00:30:47,960 Speaker 1: way the DNA responds is it repairs itself by sort 618 00:30:48,000 --> 00:30:50,240 Speaker 1: of joining the two ends back together after you've made 619 00:30:50,240 --> 00:30:53,320 Speaker 1: the cut. But you can before it joins itself back 620 00:30:53,320 --> 00:30:55,640 Speaker 1: together sort of slip in a new gene or some 621 00:30:55,720 --> 00:30:58,080 Speaker 1: new genetic code. And so in that way you can 622 00:30:58,480 --> 00:31:02,239 Speaker 1: both remove things or add things in specific locations that 623 00:31:02,280 --> 00:31:02,680 Speaker 1: you want. 624 00:31:03,000 --> 00:31:06,360 Speaker 2: Man, biological engineering is incredible. I can't believe this ever 625 00:31:06,440 --> 00:31:09,280 Speaker 2: works because it's not like I imagine you'd need like 626 00:31:09,440 --> 00:31:12,200 Speaker 2: tiny little tweezers and you're like moving it into place 627 00:31:12,320 --> 00:31:14,000 Speaker 2: just right. But you can't do that right. You just 628 00:31:14,040 --> 00:31:16,680 Speaker 2: have like a test tube with solution and you jiggle 629 00:31:16,720 --> 00:31:18,960 Speaker 2: it and you hope everything lines up. It's crazy. 630 00:31:19,200 --> 00:31:21,760 Speaker 1: It's so crazy. I cannot believe that it works, but 631 00:31:21,920 --> 00:31:25,440 Speaker 1: it does. It's absolutely amazing. But so the next step 632 00:31:25,720 --> 00:31:28,560 Speaker 1: from there I found sort of confusing, and I was 633 00:31:28,640 --> 00:31:31,560 Speaker 1: reading the scientific papers I wasn't following, So I wrote 634 00:31:31,720 --> 00:31:36,160 Speaker 1: e Genesis, which is a company that makes genetically modified 635 00:31:36,200 --> 00:31:38,440 Speaker 1: pig organs in addition to making a bunch of other stuff. 636 00:31:38,640 --> 00:31:40,840 Speaker 2: This is non science fiction. They exist in our world. 637 00:31:40,960 --> 00:31:42,840 Speaker 1: E Genesis exists in our world. That's right. 638 00:31:42,960 --> 00:31:43,160 Speaker 3: Wow. 639 00:31:43,360 --> 00:31:45,720 Speaker 1: And I wrote them. I wrote for you know, their 640 00:31:45,760 --> 00:31:48,320 Speaker 1: media contacts or whatever. And I was like, I don't 641 00:31:48,320 --> 00:31:51,120 Speaker 1: speak molecular biology. I can't figure out exactly what was 642 00:31:51,120 --> 00:31:53,600 Speaker 1: done here. Can you connect me with someone who can 643 00:31:53,720 --> 00:31:56,840 Speaker 1: explain it? And so they connected me to Wenning Chin, 644 00:31:57,240 --> 00:31:59,959 Speaker 1: who was the senior author on the Nature paper described 645 00:32:00,120 --> 00:32:03,719 Speaker 1: how they made these genetically modified pigs amazing. She was 646 00:32:03,800 --> 00:32:06,880 Speaker 1: so fantastic to talk to and so excited about this research. 647 00:32:07,240 --> 00:32:10,880 Speaker 1: So she told me that there's three different classes of 648 00:32:11,400 --> 00:32:12,760 Speaker 1: genetic changes that they made. 649 00:32:13,480 --> 00:32:15,680 Speaker 2: So first, wait, hold on, did you talk to her 650 00:32:15,840 --> 00:32:18,400 Speaker 2: and see a video or just over the phone over zoom? 651 00:32:18,480 --> 00:32:21,160 Speaker 2: And did you see her only like you know, chest 652 00:32:21,280 --> 00:32:24,560 Speaker 2: up or full body chest up? Okay, So she could 653 00:32:24,560 --> 00:32:26,560 Speaker 2: have had like you know, pig legs under the table 654 00:32:26,600 --> 00:32:27,400 Speaker 2: and you wouldn't even know. 655 00:32:27,640 --> 00:32:29,640 Speaker 1: I had no idea where you were going with this. 656 00:32:31,520 --> 00:32:33,440 Speaker 2: I mean, you're talking to somebody at a company who's 657 00:32:33,480 --> 00:32:37,760 Speaker 2: like doing cutting edge like human animal weirdness. So like, 658 00:32:37,800 --> 00:32:39,080 Speaker 2: I mean, you're not curious. 659 00:32:39,400 --> 00:32:42,080 Speaker 1: I had no reason to believe that she was anything 660 00:32:42,160 --> 00:32:46,479 Speaker 1: other than a you know, woman with no animal parts, 661 00:32:48,080 --> 00:32:52,200 Speaker 1: and she was wonderful. So all right, okay, they had 662 00:32:52,240 --> 00:32:54,880 Speaker 1: made three different classes of edits. The first thing they 663 00:32:54,880 --> 00:32:56,800 Speaker 1: did was they removed all the pervs. 664 00:32:56,640 --> 00:32:57,880 Speaker 2: The what's pervs. 665 00:32:58,160 --> 00:33:04,479 Speaker 1: The pervs. Pervs are poor sign anddogenous retroviruses. So the 666 00:33:04,920 --> 00:33:08,280 Speaker 1: pig genome has some viruses in it, and most of 667 00:33:08,320 --> 00:33:11,600 Speaker 1: the time those viruses are either helpful. For example, they 668 00:33:11,640 --> 00:33:14,080 Speaker 1: help with things like placenta formation, and we're going to 669 00:33:14,120 --> 00:33:16,520 Speaker 1: have cap Ohannan on the show in the future to 670 00:33:16,560 --> 00:33:19,760 Speaker 1: talk about how that works. But they also have some 671 00:33:19,840 --> 00:33:23,960 Speaker 1: other viruses that are able to start replicating themselves at 672 00:33:24,040 --> 00:33:26,160 Speaker 1: like sort of random times that we don't really understand 673 00:33:26,200 --> 00:33:28,680 Speaker 1: how they choose when they want to start replicating themselves. 674 00:33:28,880 --> 00:33:33,240 Speaker 1: And we've put these viral particles in plates with human 675 00:33:33,280 --> 00:33:35,840 Speaker 1: cells and it looks like they can infect those human cells. 676 00:33:36,160 --> 00:33:37,760 Speaker 2: Yeah, so you. 677 00:33:37,800 --> 00:33:40,239 Speaker 1: Really don't want to get a pig organ and then 678 00:33:40,320 --> 00:33:43,120 Speaker 1: discover that you are filled with pervs and that you 679 00:33:43,200 --> 00:33:44,680 Speaker 1: are going to die from those viruses. 680 00:33:44,840 --> 00:33:46,720 Speaker 2: Nobody wants a purview organ for sure. 681 00:33:46,840 --> 00:33:50,600 Speaker 1: No, no, absolutely not. No. There's so much material we 682 00:33:50,640 --> 00:33:53,440 Speaker 1: could work with here, but anyway, we won't get to 683 00:33:53,440 --> 00:33:57,000 Speaker 1: too gross. And so they cut out the poor sign 684 00:33:57,080 --> 00:34:01,120 Speaker 1: anddogenous retroviruses to make it so that wouldn't be a problem. 685 00:34:01,200 --> 00:34:03,440 Speaker 1: They had to be pretty clever about how they did 686 00:34:03,440 --> 00:34:05,680 Speaker 1: the cutting, but they made it so that they feel 687 00:34:05,720 --> 00:34:07,960 Speaker 1: like this is no longer a risk to people who 688 00:34:07,960 --> 00:34:11,160 Speaker 1: get these organs. Then the next thing they had to 689 00:34:11,200 --> 00:34:16,080 Speaker 1: do was remove stuff on the pig cells that our 690 00:34:16,120 --> 00:34:19,160 Speaker 1: immune system could use to say, hey, that doesn't belong 691 00:34:19,200 --> 00:34:22,239 Speaker 1: to me. So pig cells have some sugars on them, 692 00:34:22,719 --> 00:34:26,080 Speaker 1: and that's because pigs and humans, you know, diverge something 693 00:34:26,120 --> 00:34:28,880 Speaker 1: like eighty million years ago. We've gone on very separate paths, 694 00:34:28,920 --> 00:34:31,680 Speaker 1: and so our cells look different. And so what they 695 00:34:31,680 --> 00:34:34,440 Speaker 1: did was they went in and they removed these sugars 696 00:34:34,480 --> 00:34:38,440 Speaker 1: from the cells. They essentially depigged these cells so that 697 00:34:38,520 --> 00:34:40,480 Speaker 1: our immune system would be less likely to see it 698 00:34:40,520 --> 00:34:43,200 Speaker 1: and be like, you don't belong here. And then the 699 00:34:43,239 --> 00:34:46,759 Speaker 1: next set of changes that they made were essentially humanizing 700 00:34:46,800 --> 00:34:50,080 Speaker 1: the pig cells. So now on the cells they added 701 00:34:50,160 --> 00:34:53,000 Speaker 1: stuff to make them look more human again so that 702 00:34:53,040 --> 00:34:55,600 Speaker 1: the immune system wouldn't respond. And so my question when 703 00:34:55,640 --> 00:34:58,600 Speaker 1: she told me about that was, well, if we have 704 00:34:58,640 --> 00:35:02,040 Speaker 1: to worry about our immune s system attacking cells with 705 00:35:02,200 --> 00:35:05,640 Speaker 1: pig sugars, why don't you have to worry about the 706 00:35:05,680 --> 00:35:08,359 Speaker 1: pig bodies attacking the human sugars when the pigs are 707 00:35:08,360 --> 00:35:09,280 Speaker 1: growing these organs. 708 00:35:09,360 --> 00:35:11,839 Speaker 2: That was my question too. Yeah, well, but it's such a. 709 00:35:11,800 --> 00:35:15,000 Speaker 1: Cool answer, and I should have known the answer as 710 00:35:15,000 --> 00:35:18,120 Speaker 1: someone who works sort of adjacent to immunology. But anyway, 711 00:35:18,160 --> 00:35:21,839 Speaker 1: the answer is that if you are a fetus, the 712 00:35:21,880 --> 00:35:24,960 Speaker 1: things that you're exposed to when you're a fetus are 713 00:35:25,080 --> 00:35:28,960 Speaker 1: what your body expects. And so if you grow a 714 00:35:29,080 --> 00:35:32,680 Speaker 1: pig from the starting point, like as an embryo, with 715 00:35:32,920 --> 00:35:36,400 Speaker 1: these human sugars, it's immune system is like, oh sweet, 716 00:35:36,400 --> 00:35:38,799 Speaker 1: these sugars belong here, and it doesn't attack them. 717 00:35:38,920 --> 00:35:42,120 Speaker 2: There's no ingrained knowledge in the immune system is just 718 00:35:42,239 --> 00:35:44,360 Speaker 2: trained on examples from when your fetus. It's like a 719 00:35:44,400 --> 00:35:45,320 Speaker 2: blank neural network. 720 00:35:45,360 --> 00:35:49,640 Speaker 1: That's right, that's amazing. Yeah, And so like if fraternal twins, 721 00:35:49,640 --> 00:35:52,160 Speaker 1: so twins that aren't exactly identical, like if they share 722 00:35:52,200 --> 00:35:55,239 Speaker 1: a blood supply, you're more likely to be able to 723 00:35:55,280 --> 00:35:59,719 Speaker 1: do transplants between them because they had that stuff in 724 00:35:59,760 --> 00:36:03,400 Speaker 1: the vironments, so their immune systems less likely to attack it. Incredible. Okay, 725 00:36:03,480 --> 00:36:06,439 Speaker 1: so those are the three changes that were made. Let's 726 00:36:06,440 --> 00:36:08,279 Speaker 1: take a break, and when we come back, I'll tell 727 00:36:08,320 --> 00:36:11,080 Speaker 1: you about what they did once they had crispired all 728 00:36:11,120 --> 00:36:34,399 Speaker 1: of that stuff into existence. All right. So what Egenesis 729 00:36:34,400 --> 00:36:37,160 Speaker 1: did is they collected cells from the ears of one 730 00:36:37,239 --> 00:36:41,200 Speaker 1: hundred different pigs. They ran their crisper magic to make 731 00:36:41,320 --> 00:36:43,919 Speaker 1: all of those three different classes of changes we talked about. 732 00:36:43,920 --> 00:36:47,080 Speaker 1: They ended up making sixty nine changes total. They took 733 00:36:47,080 --> 00:36:52,000 Speaker 1: an egg from pigs, they pulled out the nucleus in 734 00:36:52,080 --> 00:36:55,880 Speaker 1: the egg, and they put in the genetic material that 735 00:36:55,920 --> 00:36:58,880 Speaker 1: they had just created so with all of the changes, 736 00:36:59,440 --> 00:37:02,040 Speaker 1: and then they grew that up into a pig. 737 00:37:02,080 --> 00:37:05,080 Speaker 2: All right. So because before we're talking about genetic information 738 00:37:05,160 --> 00:37:07,200 Speaker 2: sort of in the abstract. It's just like you have 739 00:37:07,400 --> 00:37:09,440 Speaker 2: DNA in a vial, but it's not part of a cell. 740 00:37:09,800 --> 00:37:11,840 Speaker 2: You're just like writing the code. Now you got to 741 00:37:11,880 --> 00:37:14,640 Speaker 2: load that code into the hardware, so like the whole 742 00:37:14,640 --> 00:37:15,600 Speaker 2: pig cell runs it. 743 00:37:15,800 --> 00:37:18,759 Speaker 1: Yes, cool, And so they did that, and so now 744 00:37:18,800 --> 00:37:23,720 Speaker 1: they have pigs that are adults and are growing these organs, 745 00:37:24,400 --> 00:37:26,960 Speaker 1: and they have all the genetic changes that they put 746 00:37:27,000 --> 00:37:29,520 Speaker 1: in there. And now when these pigs have babies, they 747 00:37:29,560 --> 00:37:32,560 Speaker 1: will also have these genetic changes. So now you have 748 00:37:32,800 --> 00:37:36,719 Speaker 1: lines of pigs that are making organs that should be 749 00:37:36,760 --> 00:37:38,000 Speaker 1: able to go into humans. 750 00:37:38,040 --> 00:37:40,640 Speaker 2: All right, So the first pig is an adult as 751 00:37:40,680 --> 00:37:44,920 Speaker 2: the normal like piggy pervy organs, but you've put cells 752 00:37:44,920 --> 00:37:48,680 Speaker 2: into it that have the edited DNA, and its children 753 00:37:49,160 --> 00:37:51,480 Speaker 2: will have that edited DNA and they will grow up 754 00:37:51,600 --> 00:37:54,319 Speaker 2: and generate the organs without the pervy bits. Is that right? 755 00:37:54,440 --> 00:37:54,640 Speaker 3: Yeah? 756 00:37:54,680 --> 00:37:57,359 Speaker 1: Yeah, So you could take a cell from that pig's ear, 757 00:37:57,960 --> 00:37:59,960 Speaker 1: use Crisper cast nine to make a bunch of edit 758 00:38:00,040 --> 00:38:03,080 Speaker 1: it's inside of that cell. Then take the nucleus out 759 00:38:03,120 --> 00:38:05,439 Speaker 1: of that cell and put it in an egg from 760 00:38:05,520 --> 00:38:07,880 Speaker 1: any pig really could be the same one that you 761 00:38:07,920 --> 00:38:10,480 Speaker 1: took the ear stuff from. Oh, and then you use 762 00:38:10,560 --> 00:38:12,080 Speaker 1: that egg to grow up new pigs. 763 00:38:12,239 --> 00:38:15,360 Speaker 2: All right, wow, and so does it work? Do we 764 00:38:15,440 --> 00:38:19,200 Speaker 2: have baby pigs growing human kidneys or or human is kidneys. 765 00:38:19,520 --> 00:38:22,040 Speaker 1: Well, so the way that you test this stuff, so 766 00:38:22,200 --> 00:38:24,960 Speaker 1: first you tend to try these organs out in like 767 00:38:25,120 --> 00:38:28,920 Speaker 1: macaques or baboons, so you try them out in closely 768 00:38:29,000 --> 00:38:32,920 Speaker 1: related primates and if it works okay in them, then 769 00:38:32,920 --> 00:38:34,720 Speaker 1: you can say, all right, maybe we're ready to jump 770 00:38:34,840 --> 00:38:37,800 Speaker 1: to humans. Sometimes you have an additional step in between, 771 00:38:38,280 --> 00:38:41,280 Speaker 1: where you have a human who has had an accident 772 00:38:41,520 --> 00:38:45,080 Speaker 1: and they've experienced brain death, but their organs are still working, 773 00:38:45,120 --> 00:38:46,759 Speaker 1: and so then you put them on life support and 774 00:38:46,800 --> 00:38:49,719 Speaker 1: you can put a genetically modified organ in them and 775 00:38:49,760 --> 00:38:52,160 Speaker 1: see how their body responds. And so that's a way 776 00:38:52,239 --> 00:38:52,920 Speaker 1: to see. 777 00:38:52,800 --> 00:38:55,000 Speaker 2: You treat them as like a science experiment. Wow. 778 00:38:55,239 --> 00:38:57,640 Speaker 1: Yeah, that's a not so nice way of putting it. 779 00:38:57,680 --> 00:38:59,759 Speaker 1: I would say, you know, if I were in that 780 00:38:59,800 --> 00:39:03,760 Speaker 1: sea situation and someone has to decide, does Kelly's body 781 00:39:04,480 --> 00:39:07,000 Speaker 1: get used to try to like figure out this life 782 00:39:07,080 --> 00:39:10,319 Speaker 1: saving technique and that's her last contribution to the world, Like, 783 00:39:10,400 --> 00:39:12,279 Speaker 1: I would hope that somebody would say yes, because that 784 00:39:12,400 --> 00:39:15,120 Speaker 1: I mean, that feels like it sucks that I died, 785 00:39:15,560 --> 00:39:18,200 Speaker 1: but it would be amazing if I could help build 786 00:39:18,640 --> 00:39:21,359 Speaker 1: the argument that was needed so that we could start 787 00:39:21,440 --> 00:39:24,640 Speaker 1: using this amazing life saving technique in other people. 788 00:39:24,719 --> 00:39:26,600 Speaker 2: And so so yes basically. 789 00:39:26,480 --> 00:39:29,160 Speaker 1: So yes, yes, but you know, families get asked ahead 790 00:39:29,160 --> 00:39:31,759 Speaker 1: of time. You know, it's all of this stuff fascinating. 791 00:39:31,920 --> 00:39:34,759 Speaker 1: It has complicated ethical approvals that are needed ahead of time. 792 00:39:34,800 --> 00:39:38,399 Speaker 1: But so E Genesis did get permission from the Food 793 00:39:38,400 --> 00:39:41,680 Speaker 1: and Drug Administration to try these organs out. I believe 794 00:39:41,680 --> 00:39:44,520 Speaker 1: that they're still getting tried out under what's called compassionate use. 795 00:39:44,880 --> 00:39:47,880 Speaker 1: So it's getting tried out on patients who I believe 796 00:39:47,920 --> 00:39:49,600 Speaker 1: are not able to get on the wait list for 797 00:39:49,640 --> 00:39:51,480 Speaker 1: one reason or another. Like you know, for example, to 798 00:39:51,560 --> 00:39:54,560 Speaker 1: have a blood type that is pretty rare, it's hard 799 00:39:54,560 --> 00:39:57,719 Speaker 1: to find someone who's compatible. The probability that they will 800 00:39:57,760 --> 00:40:00,319 Speaker 1: be on the wait list for longer than and they're 801 00:40:00,360 --> 00:40:04,320 Speaker 1: likely to survive is high. And so we're trying it 802 00:40:04,360 --> 00:40:06,880 Speaker 1: out on these folks, yeah, because it's a good option 803 00:40:06,960 --> 00:40:09,680 Speaker 1: for them given the options they have. And so these 804 00:40:09,719 --> 00:40:12,120 Speaker 1: folks tend to be fifty five to seventy years old 805 00:40:12,719 --> 00:40:14,960 Speaker 1: and they're unlikely to get an organ in the next 806 00:40:15,000 --> 00:40:17,319 Speaker 1: five years. So two of these surgeries have been done, 807 00:40:17,680 --> 00:40:21,080 Speaker 1: and so far both of the people have survived. I 808 00:40:21,080 --> 00:40:24,680 Speaker 1: think these surgeries were done in like February or March, 809 00:40:24,719 --> 00:40:27,839 Speaker 1: and it's June now, and as far as I could 810 00:40:27,880 --> 00:40:31,480 Speaker 1: tell searching through Google, the folks who received these organs 811 00:40:31,520 --> 00:40:35,480 Speaker 1: are still alive and still doing well, which is so amazing. 812 00:40:35,560 --> 00:40:39,160 Speaker 1: And then there's another company called United Therapeutics, and they 813 00:40:39,239 --> 00:40:42,719 Speaker 1: also have used Crisper to modify pig organs. They only 814 00:40:42,760 --> 00:40:45,440 Speaker 1: did ten edits. It sounds like maybe they're keeping their 815 00:40:45,440 --> 00:40:48,799 Speaker 1: fingers crossed that those retroviruses aren't a problem. I don't 816 00:40:48,800 --> 00:40:51,120 Speaker 1: think they did as many edits to those, but this 817 00:40:51,200 --> 00:40:54,360 Speaker 1: is all sort of information that isn't made public. Exactly 818 00:40:54,400 --> 00:40:57,439 Speaker 1: what edits you make probably, so anyway, they've also done 819 00:40:57,440 --> 00:41:01,800 Speaker 1: some transplant experiments using their organs. One of the patients 820 00:41:01,800 --> 00:41:05,080 Speaker 1: who had one of these genetically modified organs had it 821 00:41:05,160 --> 00:41:07,520 Speaker 1: for four months and then her body started to reject 822 00:41:07,520 --> 00:41:09,680 Speaker 1: it for unknown reasons and it had to be removed. 823 00:41:10,120 --> 00:41:12,880 Speaker 1: So it's possible some more tinkering is going to need 824 00:41:12,920 --> 00:41:15,160 Speaker 1: to get done with the pig organs, or we need 825 00:41:15,200 --> 00:41:16,960 Speaker 1: to do a little bit more work figuring out the 826 00:41:17,040 --> 00:41:20,840 Speaker 1: right amount of suppressive drugs. But you know, these organs 827 00:41:20,840 --> 00:41:23,680 Speaker 1: are being trialed out, and if these initial trials go well, 828 00:41:23,960 --> 00:41:26,960 Speaker 1: then the pool of people who could join trials to 829 00:41:27,040 --> 00:41:31,359 Speaker 1: test these organs out will expand. And so that's where 830 00:41:31,360 --> 00:41:33,200 Speaker 1: we are right now. We're kind of trying it out 831 00:41:33,200 --> 00:41:34,880 Speaker 1: to see if we figured out all the changes we 832 00:41:34,920 --> 00:41:35,359 Speaker 1: need to make. 833 00:41:35,480 --> 00:41:37,640 Speaker 2: This feels like we're on the cusp of something really big. 834 00:41:37,719 --> 00:41:40,480 Speaker 2: I mean, if this works, it could really change what 835 00:41:40,560 --> 00:41:43,440 Speaker 2: it means to wait for an organ. How many people 836 00:41:43,520 --> 00:41:46,719 Speaker 2: die waiting for organs. Yeah, it could really change the 837 00:41:46,760 --> 00:41:49,680 Speaker 2: experience of being human and the experience of being pig unfortunately. 838 00:41:49,920 --> 00:41:52,240 Speaker 1: Yeah, yeah, yeah, So these pigs need to be grown 839 00:41:52,280 --> 00:41:57,080 Speaker 1: in facilities where they are absolutely not going to encounter 840 00:41:57,120 --> 00:42:01,200 Speaker 1: additional viruses. So, for example, sometimes the flu can jump 841 00:42:01,280 --> 00:42:03,560 Speaker 1: from birds to people. Sometimes it can jump from pigs 842 00:42:03,560 --> 00:42:05,000 Speaker 1: to people. So you want to make sure that your 843 00:42:05,000 --> 00:42:07,839 Speaker 1: pigs are not encountering any new flu strains. So they 844 00:42:07,880 --> 00:42:12,040 Speaker 1: need to be in these like incredibly biosecure facilities. But yes, 845 00:42:12,160 --> 00:42:14,640 Speaker 1: once you grow up enough of them and you expand 846 00:42:14,680 --> 00:42:19,319 Speaker 1: the facilities, hopefully, you know, with a lot of procedures 847 00:42:19,360 --> 00:42:22,480 Speaker 1: that are ethically you know, compassionate for the lives of 848 00:42:22,480 --> 00:42:25,879 Speaker 1: the pigs, you could have organs that are ready at 849 00:42:25,960 --> 00:42:28,279 Speaker 1: just about any time. So you know, somebody who has 850 00:42:28,360 --> 00:42:31,440 Speaker 1: kidney issues wouldn't have to face down a few years 851 00:42:31,440 --> 00:42:33,920 Speaker 1: of dialysis with the quality of their life is much lower. 852 00:42:34,360 --> 00:42:36,600 Speaker 1: You know, they could discover they need a new kidney 853 00:42:36,640 --> 00:42:38,560 Speaker 1: and they could, you know, have it a month later 854 00:42:38,680 --> 00:42:39,399 Speaker 1: or something like that. 855 00:42:39,640 --> 00:42:42,719 Speaker 2: Yeah, these kidneys are not tailored to an individual human, right, 856 00:42:42,760 --> 00:42:47,160 Speaker 2: they're generically modified so that they're more acceptable to humans broadly. 857 00:42:47,200 --> 00:42:49,400 Speaker 2: But we know the humans are different, right, and some 858 00:42:49,480 --> 00:42:52,920 Speaker 2: humans reject or accept different kidneys. Is it possible that 859 00:42:53,000 --> 00:42:55,200 Speaker 2: some kinds of people will be able to accept pigkinnys 860 00:42:55,239 --> 00:42:55,960 Speaker 2: and others won't. 861 00:42:56,400 --> 00:42:59,440 Speaker 1: I think yes. I think that is a live option. 862 00:42:59,600 --> 00:43:02,520 Speaker 1: So the the woman who had the United Therapeutics kidney 863 00:43:03,080 --> 00:43:05,879 Speaker 1: who eventually rejected it, I think we don't understand why 864 00:43:05,920 --> 00:43:09,280 Speaker 1: she rejected it. It could be that there's some incompatibility 865 00:43:09,320 --> 00:43:12,520 Speaker 1: issue that you know, might be specific to her. Maybe 866 00:43:12,520 --> 00:43:14,799 Speaker 1: we will need to personalize these organs a bit more. 867 00:43:14,880 --> 00:43:17,360 Speaker 1: And I'm sure the three D printing people are saying, 868 00:43:17,680 --> 00:43:19,640 Speaker 1: if you print with your own cells, this will never 869 00:43:19,680 --> 00:43:22,279 Speaker 1: be a problem, when you know that technology isn't here 870 00:43:22,360 --> 00:43:24,400 Speaker 1: yet either. So yes, it could be that more tinkering 871 00:43:24,440 --> 00:43:27,359 Speaker 1: needs to get done. It would have been beautiful if 872 00:43:27,480 --> 00:43:31,839 Speaker 1: everyone who got these genetically modified pig organs accepted them 873 00:43:31,840 --> 00:43:35,040 Speaker 1: with no problems right from the start, But that's that's 874 00:43:35,040 --> 00:43:36,239 Speaker 1: not where we are right now, and. 875 00:43:36,200 --> 00:43:38,719 Speaker 2: Our pig's the only place this is happening. Is there 876 00:43:38,760 --> 00:43:40,800 Speaker 2: any other species that's in contention? 877 00:43:41,120 --> 00:43:43,719 Speaker 1: Nope, just pigs. Wow, as far as I can tell. 878 00:43:43,880 --> 00:43:46,440 Speaker 2: Yeah, So maybe society will get divided in the future 879 00:43:46,440 --> 00:43:49,000 Speaker 2: into people who can accept pig organs and people who can't, 880 00:43:49,000 --> 00:43:50,680 Speaker 2: the piggy people and the non piggy people. 881 00:43:50,719 --> 00:43:52,880 Speaker 1: That's right, that's right, a little bit of levity and 882 00:43:52,920 --> 00:43:55,560 Speaker 1: our otherwise sort of bummer of an episode. But so 883 00:43:55,800 --> 00:43:58,080 Speaker 1: I've got a question you might not know the answer to. 884 00:43:58,239 --> 00:44:01,680 Speaker 1: So there are some cultures that can't eat pork. So 885 00:44:01,760 --> 00:44:04,360 Speaker 1: my husband is Jewish and he's a vegetarian too, so 886 00:44:04,360 --> 00:44:06,200 Speaker 1: it's sort of a non starter. But do you think 887 00:44:06,239 --> 00:44:09,560 Speaker 1: there'd be any rules about accepting organs? 888 00:44:09,920 --> 00:44:12,239 Speaker 2: That is a great question and what I don't know 889 00:44:12,280 --> 00:44:14,160 Speaker 2: the answer to. And one reason that it's a great 890 00:44:14,239 --> 00:44:16,880 Speaker 2: question is that I'm sure the Rabbis will have a 891 00:44:16,920 --> 00:44:20,160 Speaker 2: lot of fun arguing about it, because Rabbis have a 892 00:44:20,200 --> 00:44:22,279 Speaker 2: lot of fun arguing about stuff like this, you know, like, 893 00:44:22,520 --> 00:44:24,840 Speaker 2: can you turn on the light switch on Saturday? No? 894 00:44:25,239 --> 00:44:27,320 Speaker 2: Can you hire someone to turn on the light switch? 895 00:44:27,880 --> 00:44:28,040 Speaker 3: No? 896 00:44:28,320 --> 00:44:30,480 Speaker 2: But can you pay them to do something else and 897 00:44:30,520 --> 00:44:32,600 Speaker 2: then they turn on the light switch. Yes, so there's 898 00:44:32,600 --> 00:44:35,480 Speaker 2: all these like creative ways to like find loopholes to 899 00:44:35,719 --> 00:44:38,440 Speaker 2: satisfy all the requirements, and I think they get a 900 00:44:38,440 --> 00:44:41,280 Speaker 2: lot of joy in arguing about it. So this seems 901 00:44:41,320 --> 00:44:43,239 Speaker 2: like a really juicy question for them. 902 00:44:45,000 --> 00:44:47,520 Speaker 1: That's right, that's right, And I have to admit, like 903 00:44:47,600 --> 00:44:50,919 Speaker 1: I feel a bit uncomfortable. Okay, So since I moved 904 00:44:50,920 --> 00:44:52,960 Speaker 1: on a farm, I have had a much harder time 905 00:44:53,040 --> 00:44:57,000 Speaker 1: eating meat because I encounter the animals that I'm eating 906 00:44:57,040 --> 00:45:00,239 Speaker 1: a lot more, and I have been very surprised by 907 00:45:00,320 --> 00:45:05,120 Speaker 1: how dynamic their personalities are, and how good they are 908 00:45:05,120 --> 00:45:07,320 Speaker 1: with their babies, and how. 909 00:45:07,320 --> 00:45:09,040 Speaker 2: They obviously feel joy and pain. 910 00:45:09,280 --> 00:45:12,799 Speaker 1: That's right, Yes, yes, Seeing like goats get zoomies and 911 00:45:12,960 --> 00:45:16,440 Speaker 1: frolic around a field, You're like, ah, I really enjoy 912 00:45:16,640 --> 00:45:21,160 Speaker 1: you in my euro And now I feel complicated about that. 913 00:45:21,440 --> 00:45:24,560 Speaker 1: But you know, if my daughter needed an organ and 914 00:45:24,640 --> 00:45:28,000 Speaker 1: it was between a pig and my daughter, I wouldn't 915 00:45:28,000 --> 00:45:30,319 Speaker 1: have a hard time with that choice. And I guess 916 00:45:30,360 --> 00:45:33,120 Speaker 1: same with me. So Jane at the start of this 917 00:45:33,200 --> 00:45:36,520 Speaker 1: episode asked if we were to start treating pigs with 918 00:45:36,560 --> 00:45:42,360 Speaker 1: more respect if they became a major source for our organs. Don't. Actually, 919 00:45:42,360 --> 00:45:44,440 Speaker 1: I don't see that happening, to be honest, I think the. 920 00:45:44,360 --> 00:45:47,439 Speaker 2: Opposite is true. No, I think the more useful they are, 921 00:45:47,520 --> 00:45:50,319 Speaker 2: the more we convince ourselves that they're just things and 922 00:45:50,360 --> 00:45:51,120 Speaker 2: not like people. 923 00:45:51,360 --> 00:45:55,440 Speaker 1: Yeah. So for me, the more I encounter farm animals, 924 00:45:55,600 --> 00:45:58,360 Speaker 1: the more I want to either not eat them or 925 00:45:58,440 --> 00:46:01,279 Speaker 1: only eat animals that had really good lives, Like I 926 00:46:01,320 --> 00:46:04,759 Speaker 1: feel more and more uncomfortable about factory farms. But I 927 00:46:04,760 --> 00:46:08,320 Speaker 1: think that most of us are not seeing or engaging 928 00:46:08,360 --> 00:46:11,520 Speaker 1: with these animals that we end up eating or you know, 929 00:46:11,600 --> 00:46:14,920 Speaker 1: that are part of the various processes for products that 930 00:46:14,960 --> 00:46:17,400 Speaker 1: we use in our lives, like leather or whatever. And 931 00:46:17,440 --> 00:46:21,719 Speaker 1: so I don't see us treating animals nicer as long 932 00:46:21,719 --> 00:46:24,960 Speaker 1: as we are not encountering them more and like needing 933 00:46:25,000 --> 00:46:26,920 Speaker 1: to see what it looks like to get this done. 934 00:46:27,520 --> 00:46:29,680 Speaker 1: I hope that we'll treat them ethically. It does seem 935 00:46:29,760 --> 00:46:31,840 Speaker 1: like over time there have been more rules for treating 936 00:46:31,880 --> 00:46:35,040 Speaker 1: animals ethically and trying to give them a nice life 937 00:46:35,280 --> 00:46:37,880 Speaker 1: for as long as they've got it. But I, yeah, 938 00:46:38,480 --> 00:46:40,080 Speaker 1: I don't think this is going to change things. 939 00:46:40,480 --> 00:46:43,640 Speaker 2: Well, let's take a positive view if we have pigs 940 00:46:43,680 --> 00:46:46,560 Speaker 2: that can grow organs for humans. It means more humans survive, 941 00:46:46,760 --> 00:46:50,000 Speaker 2: and it means more jobs for philosophers to figure out 942 00:46:50,080 --> 00:46:52,719 Speaker 2: whether or not we are bad people, and jobs for 943 00:46:52,840 --> 00:46:56,880 Speaker 2: rabbis to answer these questions. So everybody wins except the pigs. 944 00:46:56,880 --> 00:46:57,240 Speaker 2: I guess. 945 00:46:57,320 --> 00:46:59,880 Speaker 1: Yeah. Okay, Well, so I'd like to end on a 946 00:46:59,880 --> 00:47:04,239 Speaker 1: slightly high notes. So first of all, I don't know 947 00:47:04,280 --> 00:47:05,759 Speaker 1: if this is a high note, but we already eat 948 00:47:05,760 --> 00:47:07,799 Speaker 1: a lot of pigs, so this is apparently something where 949 00:47:08,080 --> 00:47:11,560 Speaker 1: for the most part, already comfortable with. But let's focus 950 00:47:11,600 --> 00:47:14,680 Speaker 1: for a second on how much amazing stuff we had 951 00:47:14,680 --> 00:47:16,640 Speaker 1: to learn to get where we are today. You know, 952 00:47:16,719 --> 00:47:22,600 Speaker 1: like we are harnessing bacteria's immune response to create organs 953 00:47:22,600 --> 00:47:25,680 Speaker 1: that could save the lives of like over one hundred 954 00:47:25,800 --> 00:47:27,919 Speaker 1: thousand people who are on the wait list right now. 955 00:47:28,360 --> 00:47:30,759 Speaker 1: It is amazing to me that we have figured out 956 00:47:30,800 --> 00:47:33,680 Speaker 1: how to get this far, like just the many giants 957 00:47:33,680 --> 00:47:35,799 Speaker 1: whose shoulders we had to stand on to get to 958 00:47:35,800 --> 00:47:38,880 Speaker 1: where we are today. And if this works, the suffering 959 00:47:38,960 --> 00:47:42,200 Speaker 1: of many, many, many people could be alleviated, a lot 960 00:47:42,239 --> 00:47:44,960 Speaker 1: more people could survive, and the people who are waiting 961 00:47:44,960 --> 00:47:47,600 Speaker 1: for organs would have a much higher quality of life. 962 00:47:48,120 --> 00:47:50,799 Speaker 1: I can't help but be inspired. Even though you know 963 00:47:50,880 --> 00:47:53,399 Speaker 1: everything that has to do with humans seems like it's 964 00:47:53,400 --> 00:47:54,360 Speaker 1: ethically complicated. 965 00:47:54,680 --> 00:47:57,000 Speaker 2: It does. Yeah. On the other hand, I want to 966 00:47:57,040 --> 00:47:58,799 Speaker 2: live and I want my kids to live. 967 00:48:00,120 --> 00:48:02,520 Speaker 1: Yes, amen, And this might be a path towards making 968 00:48:02,560 --> 00:48:05,280 Speaker 1: that happen for a lot of people. So I'm wishing 969 00:48:05,320 --> 00:48:08,200 Speaker 1: them luck. And thank you to Wenningchin for chatting with 970 00:48:08,320 --> 00:48:11,200 Speaker 1: me and for making me even more excited about this. 971 00:48:11,320 --> 00:48:13,360 Speaker 1: Your enthusiasm was contagious. 972 00:48:13,520 --> 00:48:15,480 Speaker 2: And thank you very much to Jane for sending us 973 00:48:15,520 --> 00:48:18,080 Speaker 2: your question. And if you have a question about any 974 00:48:18,200 --> 00:48:20,520 Speaker 2: kind of science you'd like to hear us breakdown, please 975 00:48:20,560 --> 00:48:23,319 Speaker 2: write to us questions at Daniel and Kelly dot org. 976 00:48:23,480 --> 00:48:26,319 Speaker 1: And let's close out by seeing what Jane thought about 977 00:48:26,360 --> 00:48:27,279 Speaker 1: our episode. 978 00:48:28,320 --> 00:48:31,320 Speaker 3: Hi, Daniel and Kelly, I'm so glad that my question 979 00:48:31,400 --> 00:48:35,239 Speaker 3: spot such a super interesting discussion. Did you answer my 980 00:48:35,360 --> 00:48:40,040 Speaker 3: question well, yes, but by giving me even more ethical 981 00:48:40,080 --> 00:48:44,160 Speaker 3: and philosophical conundrums to worry about. I can't comment on 982 00:48:44,200 --> 00:48:48,120 Speaker 3: the rabbi's response, but as a Christian pastor, I hold 983 00:48:48,160 --> 00:48:51,560 Speaker 3: a high view of humanity. I've been on the ukogn 984 00:48:51,640 --> 00:48:55,560 Speaker 3: done a register for decades, and it really suddens me 985 00:48:55,800 --> 00:48:59,520 Speaker 3: that there are not enough people willing to donate organs 986 00:48:59,560 --> 00:49:02,799 Speaker 3: that they've finished with. I just worry that this will 987 00:49:02,840 --> 00:49:07,680 Speaker 3: be one more exciting scientific breakthrough which is pushed through 988 00:49:07,760 --> 00:49:12,960 Speaker 3: without serious ethical consideration. Thank you so much, Kelly for 989 00:49:13,040 --> 00:49:17,400 Speaker 3: looking into this and sharing your wonder and enthusiasm with us. 990 00:49:17,400 --> 00:49:28,360 Speaker 1: All Daniel and Kelly's Extraordinary Universe is produced by iHeartRadio. 991 00:49:28,560 --> 00:49:30,080 Speaker 1: We would love to hear from you. 992 00:49:30,200 --> 00:49:33,120 Speaker 2: We really would. We want to know what questions you 993 00:49:33,360 --> 00:49:36,000 Speaker 2: have about this Extraordinary Universe. 994 00:49:36,080 --> 00:49:39,040 Speaker 1: We want to know your thoughts on recent shows, suggestions 995 00:49:39,040 --> 00:49:42,040 Speaker 1: for future shows. If you contact us, we will get 996 00:49:42,080 --> 00:49:42,480 Speaker 1: back to you. 997 00:49:42,760 --> 00:49:46,279 Speaker 2: We really mean it. We answer every message. Email us 998 00:49:46,320 --> 00:49:48,759 Speaker 2: at Questions at danieland Kelly. 999 00:49:48,600 --> 00:49:50,680 Speaker 1: Dot org, or you can find us on social media. 1000 00:49:50,760 --> 00:49:54,560 Speaker 1: We have accounts on x, Instagram, Blue Sky and on 1001 00:49:54,640 --> 00:49:56,600 Speaker 1: all of those platforms. You can find us at d 1002 00:49:57,040 --> 00:49:58,560 Speaker 1: and Kuniverse. 1003 00:49:58,800 --> 00:50:00,359 Speaker 2: Don't be shy right to us