1 00:00:00,560 --> 00:00:04,600 Speaker 1: The epstein Bar virus infects almost everybody on Earth. For 2 00:00:04,640 --> 00:00:08,400 Speaker 1: the most part, it's relatively minor. Occasionally it causes mono. 3 00:00:08,880 --> 00:00:12,360 Speaker 1: You get sick, you get better. But it turns out 4 00:00:12,760 --> 00:00:17,000 Speaker 1: the epstein Bar virus EBV stays in our bodies forever, 5 00:00:17,680 --> 00:00:21,800 Speaker 1: and in some people, long after their initial infection, EBV 6 00:00:21,880 --> 00:00:26,680 Speaker 1: winds up causing cancer. In other people it causes multiple sclerosis, 7 00:00:27,160 --> 00:00:31,560 Speaker 1: which is not only scary, it's weird. When I think 8 00:00:31,600 --> 00:00:35,280 Speaker 1: of viral illness, I think you get infected with the virus, 9 00:00:35,440 --> 00:00:39,040 Speaker 1: maybe you get sick, your immune system responds, and most 10 00:00:39,080 --> 00:00:42,680 Speaker 1: of the time you get better. That's it. But EBV 11 00:00:42,920 --> 00:00:48,160 Speaker 1: isn't like that. And one lesson of EBV is maybe 12 00:00:48,200 --> 00:00:51,560 Speaker 1: we need to think differently about how viruses make us sick, 13 00:00:52,800 --> 00:00:56,560 Speaker 1: because sometimes they can hide out for decades and then 14 00:00:57,000 --> 00:01:00,520 Speaker 1: through a complicated and unlucky series of events, they can 15 00:01:00,600 --> 00:01:05,440 Speaker 1: do tremendous damage. I'm Jacob Goldstein, and this is Incubation, 16 00:01:05,720 --> 00:01:09,679 Speaker 1: a show about viruses. Today on the show epstein Bar, 17 00:01:20,040 --> 00:01:22,280 Speaker 1: let me just say a quick word about pronunciation. In 18 00:01:22,319 --> 00:01:26,120 Speaker 1: the US we say epstein bar. In the UK they 19 00:01:26,160 --> 00:01:31,360 Speaker 1: say epstein bar. You will hear both pronunciations in today's show. 20 00:01:31,720 --> 00:01:34,520 Speaker 1: The show as usual is in two parts. In the 21 00:01:34,560 --> 00:01:37,640 Speaker 1: second half of the show, we'll hear about this really 22 00:01:38,000 --> 00:01:42,640 Speaker 1: major breakthrough just from the last few years linking EBV 23 00:01:42,959 --> 00:01:47,920 Speaker 1: to multiple sclerosis and other autoimmune diseases. But first we're 24 00:01:47,920 --> 00:01:51,480 Speaker 1: going to go back to the nineteen sixties. At that time, 25 00:01:51,840 --> 00:01:56,080 Speaker 1: people knew that viruses could cause cancers in animals. In fact, 26 00:01:56,120 --> 00:01:59,400 Speaker 1: we talked about that last season in our episode about HPV. 27 00:02:00,120 --> 00:02:03,560 Speaker 1: In the sixties, no one had ever identified a virus 28 00:02:03,640 --> 00:02:08,000 Speaker 1: that caused cancer in people. There were some researchers who 29 00:02:08,040 --> 00:02:11,519 Speaker 1: thought such a thing might exist. One of those researchers 30 00:02:11,720 --> 00:02:15,200 Speaker 1: was a young British pathologist named Anthony Epstein. 31 00:02:15,639 --> 00:02:18,400 Speaker 2: He was extraordinary, a one off, i would say. 32 00:02:18,960 --> 00:02:22,400 Speaker 1: Dorothy Crawford was a grad student in Epstein's lab later 33 00:02:22,639 --> 00:02:25,280 Speaker 1: in the nineteen seventies, and she went on to co 34 00:02:25,360 --> 00:02:26,560 Speaker 1: write a book about him. 35 00:02:26,840 --> 00:02:30,600 Speaker 2: He was supremely self confident. He was highly intelligent, he 36 00:02:30,680 --> 00:02:34,000 Speaker 2: was intuitive, he was persistent. He was somebody who's going 37 00:02:34,040 --> 00:02:35,560 Speaker 2: to find the bloody virus if he's. 38 00:02:35,440 --> 00:02:39,680 Speaker 1: There, Dorothy says Epstein needed more than intelligence, confidence and 39 00:02:39,720 --> 00:02:43,520 Speaker 1: persistence to discover the link between viruses and cancer. She 40 00:02:43,600 --> 00:02:48,239 Speaker 1: says he needed some lucky breaks. Epstein's first big break, 41 00:02:48,280 --> 00:02:51,760 Speaker 1: according to Dorothy, was when a doctor named Dennis Burkett 42 00:02:51,880 --> 00:02:54,079 Speaker 1: just happened to give a lecture at the hospital where 43 00:02:54,080 --> 00:02:55,000 Speaker 1: Epstein worked. 44 00:02:55,360 --> 00:03:00,720 Speaker 2: Dennis Burkett was a missionary doctor working in Uganda with children, 45 00:03:01,120 --> 00:03:06,000 Speaker 2: and he described these large tumors of the jaw that 46 00:03:06,160 --> 00:03:09,040 Speaker 2: was seemed to be very common among young children in 47 00:03:09,080 --> 00:03:12,760 Speaker 2: this particular area. He'd never seen anything like it before, 48 00:03:12,760 --> 00:03:16,440 Speaker 2: and neither had anybody else, and so he went on 49 00:03:16,480 --> 00:03:21,080 Speaker 2: a jeep ride around Africa to look at the epidemiology 50 00:03:21,120 --> 00:03:24,320 Speaker 2: of this tumor and tracking the geographical restriction of it. 51 00:03:24,919 --> 00:03:28,799 Speaker 2: The tumor only occurred where malaria was what we call 52 00:03:28,880 --> 00:03:33,320 Speaker 2: hyper endemic, so where malaria occurred all the year round 53 00:03:33,400 --> 00:03:37,840 Speaker 2: at the same level. And he thought, and many people thought, 54 00:03:38,160 --> 00:03:40,960 Speaker 2: that maybe it was caused by an infectious agent that 55 00:03:41,120 --> 00:03:46,440 Speaker 2: was transmitted by mosquitoes, because malaria is transmitted by mosquitoes. 56 00:03:47,040 --> 00:03:51,640 Speaker 1: And Burkett gives a lecture at the hospital where Epstein 57 00:03:51,720 --> 00:03:53,960 Speaker 1: works talking about his work. That's right. 58 00:03:54,160 --> 00:03:57,080 Speaker 2: It was the Middlesex hospital where Tony Epstein was working, 59 00:03:57,520 --> 00:04:01,760 Speaker 2: and Burkett came in nineteen sixty one to give a lecture, 60 00:04:02,280 --> 00:04:05,040 Speaker 2: and Tony Epstein just happened to see this notice on 61 00:04:05,080 --> 00:04:07,280 Speaker 2: a noticeboard and went along. 62 00:04:08,080 --> 00:04:11,120 Speaker 1: You read in your book that Epstein hears this lecture 63 00:04:11,240 --> 00:04:14,160 Speaker 1: and he thinks, you know, this may be it, This 64 00:04:14,320 --> 00:04:17,400 Speaker 1: may be the tumor that is caused by a virus. 65 00:04:17,880 --> 00:04:19,720 Speaker 1: So what does he do next? What does he do 66 00:04:19,960 --> 00:04:21,160 Speaker 1: after he hears this lecture? 67 00:04:21,560 --> 00:04:26,159 Speaker 2: That very day he approached Burkett and asked him if 68 00:04:26,200 --> 00:04:29,760 Speaker 2: he could send samples of the tumor to the Middlesex 69 00:04:29,800 --> 00:04:32,600 Speaker 2: Hospital for him to study. And I mean, it's all 70 00:04:32,680 --> 00:04:34,360 Speaker 2: very well to just say it like that, And they 71 00:04:34,400 --> 00:04:38,440 Speaker 2: started arriving. But you know, getting a fresh tumor biopsy 72 00:04:38,600 --> 00:04:42,520 Speaker 2: from Uganda to the Middlesex Hospital in time for it 73 00:04:42,640 --> 00:04:45,360 Speaker 2: not to have died, the cells to have died, it's 74 00:04:45,400 --> 00:04:48,200 Speaker 2: a mean feat on its own, despite everything else. In 75 00:04:48,640 --> 00:04:51,000 Speaker 2: the mid sixties, exactly in the mid sixties. 76 00:04:51,080 --> 00:04:54,280 Speaker 1: Yes, So they start arriving every week, Yes, and Tony 77 00:04:54,320 --> 00:04:57,400 Speaker 1: Epstein starts looking at them, right, he wants to find 78 00:04:58,040 --> 00:05:03,040 Speaker 1: some path that is causing this tumor. Right, So what 79 00:05:03,440 --> 00:05:04,359 Speaker 1: does he start doing. 80 00:05:05,160 --> 00:05:09,920 Speaker 2: Well, they were chunks of tumor and he straightway fixed 81 00:05:09,960 --> 00:05:12,480 Speaker 2: them for the electron microscope. So that he could look 82 00:05:12,480 --> 00:05:15,039 Speaker 2: at them under the electron microscope. And I just have 83 00:05:15,160 --> 00:05:17,480 Speaker 2: to add that, I mean, it was dead lucky that 84 00:05:17,520 --> 00:05:21,080 Speaker 2: the medal Sex had an electron microscope, but because at 85 00:05:21,080 --> 00:05:24,159 Speaker 2: that time, you know, those machines were like gold dust 86 00:05:24,240 --> 00:05:28,040 Speaker 2: and they're incredibly expensive. But pathology at the Middlesex Hospital 87 00:05:28,080 --> 00:05:31,359 Speaker 2: had one and Tony had access to it, and so 88 00:05:31,520 --> 00:05:34,839 Speaker 2: he started off preparing them and just looking at the 89 00:05:34,880 --> 00:05:37,040 Speaker 2: cells and seeing if he could see any viruses in them. 90 00:05:37,480 --> 00:05:38,960 Speaker 2: And the answer is he couldn't. 91 00:05:39,440 --> 00:05:43,200 Speaker 1: He couldn't. Why not? What was going on? 92 00:05:43,560 --> 00:05:47,160 Speaker 2: Because there weren't any no virus particles to see in 93 00:05:47,200 --> 00:05:50,800 Speaker 2: the cells. And so he also put them into tissue 94 00:05:50,800 --> 00:05:54,720 Speaker 2: culture to see if he could grow the cells, and 95 00:05:54,800 --> 00:05:55,279 Speaker 2: he couldn't. 96 00:05:56,040 --> 00:05:58,520 Speaker 1: Just to be clear, is the idea that like, maybe 97 00:05:58,560 --> 00:06:01,520 Speaker 1: there were some very small number of virus particles in 98 00:06:01,560 --> 00:06:04,200 Speaker 1: the tumor cells, and if you could you grow a 99 00:06:04,200 --> 00:06:07,120 Speaker 1: bunch more cells, you could also get more virus particles 100 00:06:07,120 --> 00:06:08,479 Speaker 1: so they'd be easier to see. 101 00:06:08,920 --> 00:06:12,239 Speaker 2: Yes, that they might increase the number of virus carrying cells, 102 00:06:13,160 --> 00:06:16,760 Speaker 2: but they didn't. He just basically spent three years getting 103 00:06:16,880 --> 00:06:18,520 Speaker 2: native results all the way through. 104 00:06:18,960 --> 00:06:22,160 Speaker 1: So three years three years is a long time it 105 00:06:22,200 --> 00:06:25,040 Speaker 1: is to look and not see. I mean, it would 106 00:06:25,040 --> 00:06:30,640 Speaker 1: be reasonable to conclude, oh, my hypothesis was incorrect, this 107 00:06:30,800 --> 00:06:34,320 Speaker 1: tumor is not caused by a virus. Like, why doesn't 108 00:06:34,360 --> 00:06:35,560 Speaker 1: he come to that conclusion? 109 00:06:35,760 --> 00:06:38,880 Speaker 2: He would never do that to Every time you asked 110 00:06:38,960 --> 00:06:42,359 Speaker 2: him why he did it, he said, because I just 111 00:06:42,440 --> 00:06:45,720 Speaker 2: knew it was right. That's what he always said. It 112 00:06:45,760 --> 00:06:46,520 Speaker 2: had to be right. 113 00:06:47,240 --> 00:06:52,039 Speaker 1: So it's during this period, right that Yvonne Barr comes 114 00:06:52,080 --> 00:06:54,360 Speaker 1: to work with Tony Epstein, and she of course becomes 115 00:06:54,400 --> 00:06:57,320 Speaker 1: the other half of Epstein Bar. So tell me about her. 116 00:06:57,760 --> 00:07:00,560 Speaker 2: Well, she joined a bit later, I mean as the 117 00:07:00,560 --> 00:07:02,640 Speaker 2: three years were coming to an end, so she was 118 00:07:03,040 --> 00:07:08,200 Speaker 2: virtually there when the breakthrough came. She was a scientist 119 00:07:08,360 --> 00:07:13,040 Speaker 2: from Ireland and her job was to set these cells 120 00:07:13,120 --> 00:07:16,120 Speaker 2: up in culture. So he looked at them under the 121 00:07:16,160 --> 00:07:19,360 Speaker 2: electron microscope and he also put them into culture, and 122 00:07:19,440 --> 00:07:22,480 Speaker 2: as I've already said, nothing grew. But that was her 123 00:07:22,560 --> 00:07:23,200 Speaker 2: job anyway. 124 00:07:23,560 --> 00:07:29,160 Speaker 1: Huh So three years in nothing, nothing, nothing? Then what happened? Then? 125 00:07:29,240 --> 00:07:32,840 Speaker 2: What happened was fog fog fog. 126 00:07:33,240 --> 00:07:35,400 Speaker 1: A common occurrence in London. 127 00:07:35,640 --> 00:07:38,360 Speaker 2: I'm told fog fog? 128 00:07:38,680 --> 00:07:42,360 Speaker 1: Yes, why is fog? Why is fog important. 129 00:07:42,000 --> 00:07:45,200 Speaker 2: Why, because it delayed the flight that the sample was 130 00:07:45,240 --> 00:07:49,760 Speaker 2: coming in on. And he throw is particularly low lying 131 00:07:49,840 --> 00:07:53,320 Speaker 2: and particularly prone to fog, and so they diverted the 132 00:07:53,320 --> 00:07:57,080 Speaker 2: plane to Manchester. Obviously, it arrived late. It was a 133 00:07:57,120 --> 00:08:01,080 Speaker 2: Friday afternoon. Everybody had gone home except on He waited 134 00:08:01,120 --> 00:08:04,160 Speaker 2: for it, and when he got it into the lab, 135 00:08:04,440 --> 00:08:07,320 Speaker 2: it came in a bottle of transport medium, as we 136 00:08:07,360 --> 00:08:09,400 Speaker 2: call it, and he held it up to the light 137 00:08:09,760 --> 00:08:12,920 Speaker 2: and it was all cloudy, and that means to everybody 138 00:08:13,240 --> 00:08:17,760 Speaker 2: that it was contaminated with bacteria. And because the temple 139 00:08:17,800 --> 00:08:21,240 Speaker 2: had been delayed, these bacteria had grown in the culture 140 00:08:21,880 --> 00:08:23,000 Speaker 2: and it would be useless. 141 00:08:23,560 --> 00:08:26,000 Speaker 1: An urmal person would throw it out and wait for 142 00:08:26,040 --> 00:08:27,160 Speaker 1: the sample next week. 143 00:08:27,400 --> 00:08:31,160 Speaker 2: Yes, but Tony didn't do that. He'd got some of 144 00:08:31,160 --> 00:08:34,000 Speaker 2: the sample out, looked at it under the microscope and 145 00:08:34,080 --> 00:08:39,120 Speaker 2: did not see any bacteria. He saw free floating tumor cells. 146 00:08:40,520 --> 00:08:43,240 Speaker 2: And so for the first time ever, he put the 147 00:08:43,280 --> 00:08:47,240 Speaker 2: free floating cells into a culture. Previously, he'd been putting 148 00:08:47,320 --> 00:08:51,280 Speaker 2: lumps of tumor into the culture, but there weren't any 149 00:08:51,360 --> 00:08:53,480 Speaker 2: lumps this time. They'd all shape, the cells had all 150 00:08:53,520 --> 00:08:54,840 Speaker 2: shaken free on the journey. 151 00:08:55,240 --> 00:08:58,040 Speaker 1: So okay, so he finally now can see the cells, 152 00:08:58,040 --> 00:09:00,320 Speaker 1: he can culture the cells, which he's been on able 153 00:09:00,360 --> 00:09:00,960 Speaker 1: to do before. 154 00:09:01,320 --> 00:09:05,400 Speaker 2: What happened, well, very soon he had enough cells to 155 00:09:05,640 --> 00:09:08,600 Speaker 2: look at them under the electron microscope, and he looked 156 00:09:08,600 --> 00:09:11,440 Speaker 2: down the microscope and in the very first grid that 157 00:09:11,520 --> 00:09:13,640 Speaker 2: he looked at, he saw viruses. 158 00:09:13,760 --> 00:09:15,640 Speaker 1: He saw a virus, this thing that he's been looking 159 00:09:15,679 --> 00:09:19,320 Speaker 1: for and not seeing for three years. Yes, there it is. 160 00:09:19,600 --> 00:09:23,320 Speaker 2: In the very first grid square he saw viruses. And 161 00:09:23,400 --> 00:09:27,200 Speaker 2: he knew immediately that they were herpes viruses by the 162 00:09:27,240 --> 00:09:30,680 Speaker 2: shape of the virus particles. And he says that he 163 00:09:30,760 --> 00:09:33,679 Speaker 2: was so excited. He was afraid, you know, he's going 164 00:09:33,760 --> 00:09:37,240 Speaker 2: to do something wrong, very unusual for Tony, I might say. 165 00:09:37,320 --> 00:09:40,080 Speaker 2: So he switched the microscope off, went for a walk 166 00:09:40,080 --> 00:09:43,199 Speaker 2: around the block in the snow, and then came back 167 00:09:43,320 --> 00:09:45,160 Speaker 2: and turned it on again and made sure that they 168 00:09:45,160 --> 00:09:46,560 Speaker 2: were still there, and they were. 169 00:09:47,080 --> 00:09:49,600 Speaker 1: Wow. You imagine like his hands are shaking or something. 170 00:09:49,640 --> 00:09:52,320 Speaker 1: He's afraid he's going to knock it down or something. 171 00:09:52,760 --> 00:09:56,200 Speaker 2: I suppose, yes, or that he's seeing things. And I 172 00:09:56,200 --> 00:09:59,160 Speaker 2: can tell you that we now know that only about 173 00:09:59,200 --> 00:10:02,959 Speaker 2: one percent at most of cells in those cell lines 174 00:10:03,000 --> 00:10:04,240 Speaker 2: contain virus particles. 175 00:10:04,640 --> 00:10:07,000 Speaker 1: You're telling me there's a one in one hundred chants 176 00:10:07,000 --> 00:10:08,400 Speaker 1: that he would see it in the first grid. 177 00:10:08,679 --> 00:10:11,760 Speaker 2: Yes, I am telling you that. Yes, I mean, you know, 178 00:10:11,920 --> 00:10:13,679 Speaker 2: it's ridiculous, but that's what happened. 179 00:10:14,000 --> 00:10:16,000 Speaker 1: So, I mean, this is this is a big moment, right, 180 00:10:16,200 --> 00:10:19,320 Speaker 1: This is him seeming to find the link between a 181 00:10:19,400 --> 00:10:20,600 Speaker 1: virus and a tumor. 182 00:10:20,960 --> 00:10:25,480 Speaker 2: Yes, but nobody believed it. I mean, I don't suppose 183 00:10:25,480 --> 00:10:27,480 Speaker 2: I would have believed it either, to be honest. 184 00:10:27,480 --> 00:10:30,000 Speaker 1: Why not? Why wouldn't you have believed it? 185 00:10:30,559 --> 00:10:32,360 Speaker 2: Because it's so ridiculous? 186 00:10:32,920 --> 00:10:35,400 Speaker 1: Tell me more what I don't why why ridiculous? 187 00:10:35,760 --> 00:10:38,640 Speaker 2: Well, because at that time, viruses were known to cause 188 00:10:38,679 --> 00:10:42,800 Speaker 2: things like flu and measles and mumps, you know, and 189 00:10:43,320 --> 00:10:46,880 Speaker 2: not tumors. I mean it just I can understand why 190 00:10:46,920 --> 00:10:48,840 Speaker 2: people just did not believe it. 191 00:10:48,840 --> 00:10:52,120 Speaker 1: It does feel that way, right, And I guess also 192 00:10:52,240 --> 00:10:56,800 Speaker 1: the fact that there can be, certainly with some viruses 193 00:10:56,800 --> 00:11:02,040 Speaker 1: and tumors, a long latency period between infection and the 194 00:11:02,080 --> 00:11:04,800 Speaker 1: development of the tumor also, I guess makes it harder 195 00:11:04,840 --> 00:11:07,080 Speaker 1: to believe, right, I mean, harder to prove causality, Like 196 00:11:07,120 --> 00:11:09,840 Speaker 1: if you know, if you got spots all over your 197 00:11:09,840 --> 00:11:12,880 Speaker 1: body and then suddenly developed a tumor and be like, oh, okay, 198 00:11:12,920 --> 00:11:15,080 Speaker 1: I get it, that's the virus. But this doesn't work 199 00:11:15,120 --> 00:11:15,679 Speaker 1: that way. 200 00:11:15,559 --> 00:11:19,840 Speaker 2: Right, Oh, no, it definitely doesn't. And I mean, okay, 201 00:11:20,040 --> 00:11:24,079 Speaker 2: in berkelnfoma, there's a long incubation period. And what that 202 00:11:24,160 --> 00:11:27,400 Speaker 2: means is that there must be other factors. The virus 203 00:11:27,440 --> 00:11:30,440 Speaker 2: is not the only thing needed to cause the tumor. 204 00:11:30,760 --> 00:11:34,080 Speaker 2: You need other things. And of course the obvious thing 205 00:11:34,280 --> 00:11:39,000 Speaker 2: in this case is malaria, which immuno suppresses the children 206 00:11:39,440 --> 00:11:42,200 Speaker 2: and causes them to be you know, more susceptible to 207 00:11:42,280 --> 00:11:42,920 Speaker 2: this virus. 208 00:11:43,400 --> 00:11:48,280 Speaker 1: Aha. So that explains that original link between the tumor 209 00:11:48,559 --> 00:11:55,480 Speaker 1: and the geographic areas where malaria is especially prevalent. Yes, 210 00:11:56,320 --> 00:12:00,760 Speaker 1: So tell me about the rest of Tony Epstein's he 211 00:12:00,840 --> 00:12:04,439 Speaker 1: makes this big discovery, people don't believe him. Eventually they 212 00:12:04,440 --> 00:12:06,640 Speaker 1: do believe him. How does his career play out? 213 00:12:07,559 --> 00:12:10,120 Speaker 2: Well, he was nothing if not single minded. 214 00:12:10,600 --> 00:12:11,280 Speaker 1: You know, he was. 215 00:12:12,880 --> 00:12:16,040 Speaker 2: Persistent in what he did. He never gave up. He 216 00:12:16,120 --> 00:12:20,679 Speaker 2: was highly self confident, and he was also an obsessional worker. 217 00:12:21,200 --> 00:12:24,800 Speaker 2: And so you know, as soon as he in his 218 00:12:24,840 --> 00:12:28,040 Speaker 2: own mind believed that this was a tumor virus. He 219 00:12:28,520 --> 00:12:30,640 Speaker 2: knew that what he had to do was make a 220 00:12:30,720 --> 00:12:32,640 Speaker 2: vaccine to stop the tumor. 221 00:12:33,200 --> 00:12:36,160 Speaker 1: Right, it follows, right, Oh my god, we can prevent 222 00:12:36,280 --> 00:12:38,080 Speaker 1: cancer with the vaccine, yep. 223 00:12:38,520 --> 00:12:41,480 Speaker 2: So it's a totally direct way of thinking, and he 224 00:12:41,559 --> 00:12:43,800 Speaker 2: just went for it. So you know, we're still on 225 00:12:43,840 --> 00:12:47,800 Speaker 2: a learning curve, frankly, and Tony was part of the 226 00:12:47,880 --> 00:12:51,520 Speaker 2: learning curve and had a huge, huge impact. 227 00:12:54,440 --> 00:12:57,880 Speaker 1: I really appreciate your time of truly fascinating conversation. Thank 228 00:12:57,880 --> 00:13:02,160 Speaker 1: you so much, No problem. Dorothy Crawford is a retired 229 00:13:02,200 --> 00:13:05,640 Speaker 1: professor of medical microbiology and co author of the book 230 00:13:06,040 --> 00:13:10,559 Speaker 1: Cancer Virus, The Story of Epstein Barr Virus. Today, there 231 00:13:10,600 --> 00:13:13,480 Speaker 1: is still no vaccine for EBV, but people are working 232 00:13:13,520 --> 00:13:17,199 Speaker 1: on it. Since Epstein's original discovery, EBV has also been 233 00:13:17,240 --> 00:13:20,880 Speaker 1: linked to other forms of cancer, including Hodgkin's disease and 234 00:13:21,000 --> 00:13:25,000 Speaker 1: cancers of the nose, throat, and stomach. Epstein died earlier 235 00:13:25,000 --> 00:13:27,119 Speaker 1: this year at the age of one hundred and two. 236 00:13:27,800 --> 00:13:31,000 Speaker 1: As for Yvon Barr, she moved to Australia in nineteen 237 00:13:31,080 --> 00:13:34,000 Speaker 1: sixty six and became a high school math and science teacher. 238 00:13:34,520 --> 00:13:39,080 Speaker 1: She died in twenty sixteen, at age eighty three. We'll 239 00:13:39,080 --> 00:13:41,440 Speaker 1: be back in a minute to discuss new research linking 240 00:13:41,480 --> 00:13:56,040 Speaker 1: EBV to multiple sclerosis. It's been clear for decades now 241 00:13:56,120 --> 00:14:00,800 Speaker 1: that EBV causes certain cancers, and there's been speculation that 242 00:14:00,880 --> 00:14:04,080 Speaker 1: the virus may also be linked to multiple sclerosis and 243 00:14:04,200 --> 00:14:09,199 Speaker 1: other autoimmune diseases, but until recently, that's all it was speculation. 244 00:14:10,320 --> 00:14:13,600 Speaker 1: Bill Robinson is a professor of medicine and chief of 245 00:14:13,640 --> 00:14:18,400 Speaker 1: the Division of Immunology and Rheumatology at Stanford. He specializes 246 00:14:18,440 --> 00:14:21,800 Speaker 1: in autoimmune diseases, and he says for a long time 247 00:14:21,920 --> 00:14:24,720 Speaker 1: he and his colleagues didn't really buy the idea that 248 00:14:24,840 --> 00:14:26,600 Speaker 1: EBV causes MS. 249 00:14:27,120 --> 00:14:32,080 Speaker 3: We had dismissed it as epiphenomena, meaning ninety four percent 250 00:14:32,160 --> 00:14:36,720 Speaker 3: of all humans are infected with EBV, and how could 251 00:14:36,760 --> 00:14:39,480 Speaker 3: it actually be the cause of MASS given only about 252 00:14:39,520 --> 00:14:41,640 Speaker 3: one in nine hundred people developed mass. 253 00:14:42,400 --> 00:14:43,400 Speaker 1: Was that your own view? 254 00:14:43,960 --> 00:14:45,160 Speaker 3: That was definitely my view. 255 00:14:45,880 --> 00:14:51,720 Speaker 1: Basically, almost everybody has EBV, almost nobody has MS. There's 256 00:14:51,760 --> 00:14:53,200 Speaker 1: no way there can be a cause of link. The 257 00:14:53,280 --> 00:14:56,840 Speaker 1: numbers just don't make sense exactly. So this idea is 258 00:14:56,880 --> 00:15:01,000 Speaker 1: out there for decades really, and only just in the 259 00:15:01,040 --> 00:15:04,680 Speaker 1: last couple of years, right in twenty twenty two, there 260 00:15:04,720 --> 00:15:10,960 Speaker 1: were two studies that really seemed compellingly to demonstrate a 261 00:15:11,080 --> 00:15:16,280 Speaker 1: link between epstein barvirus and multiple sclerosis. And I want 262 00:15:16,320 --> 00:15:18,040 Speaker 1: to talk about both studies. Of course, I want to 263 00:15:18,040 --> 00:15:20,360 Speaker 1: talk about the study you did, but before we get 264 00:15:20,400 --> 00:15:23,200 Speaker 1: to that, let's talk about the other study. Let's talk 265 00:15:23,240 --> 00:15:27,080 Speaker 1: about the epidemiological study. Tell me about that work. 266 00:15:27,840 --> 00:15:30,680 Speaker 3: Yes, so, in the military, people are getting tested every 267 00:15:30,720 --> 00:15:35,480 Speaker 3: several years for HIV disease and other things, and the 268 00:15:35,480 --> 00:15:41,320 Speaker 3: military has banked samples from those collections. And Alberto Asherio 269 00:15:41,480 --> 00:15:44,880 Speaker 3: at Harvard School of Public Health, who's been a leader 270 00:15:44,880 --> 00:15:49,160 Speaker 3: in the field on the association of epstein bar virus 271 00:15:50,000 --> 00:15:54,000 Speaker 3: with multiple scrosis, completed a lot of paperwork and went 272 00:15:54,040 --> 00:15:57,640 Speaker 3: through a lot of regulatory requirements and with that received 273 00:15:58,040 --> 00:16:04,160 Speaker 3: blood samples that were did from individuals who developed multiple scrosis, 274 00:16:04,320 --> 00:16:09,160 Speaker 3: either in the military or following service, and basically use 275 00:16:09,240 --> 00:16:14,880 Speaker 3: these to show that essentially everybody who developed MS was 276 00:16:14,920 --> 00:16:20,520 Speaker 3: infected with EBV prior to developing MS. Huh More, specifically, 277 00:16:20,600 --> 00:16:24,800 Speaker 3: they had eight hundred one patients total, and eight hundred 278 00:16:25,440 --> 00:16:28,040 Speaker 3: out of the eight hundred and one, so ninety nine 279 00:16:28,360 --> 00:16:34,120 Speaker 3: point nine percent were infected with EBV before they developed 280 00:16:34,200 --> 00:16:35,880 Speaker 3: clinical multiple scrosis. 281 00:16:36,600 --> 00:16:40,040 Speaker 1: So that study shows very elegantly and very compellingly that 282 00:16:40,640 --> 00:16:44,040 Speaker 1: EBV is basically necessary but not sufficient to get MS. 283 00:16:44,080 --> 00:16:48,240 Speaker 1: It doesn't tell us anything about why, about the mechanism, 284 00:16:48,320 --> 00:16:51,960 Speaker 1: about what's going on, and that's what your work tells us, 285 00:16:51,960 --> 00:16:53,720 Speaker 1: and I want to get to that, but before we do, 286 00:16:53,880 --> 00:16:57,880 Speaker 1: let's just talk briefly about multiple sclerosis as a disease, 287 00:16:57,960 --> 00:17:00,800 Speaker 1: both what happens to patients and also so well what 288 00:17:00,840 --> 00:17:03,000 Speaker 1: happens to patients sort of clinically and then what happens 289 00:17:03,000 --> 00:17:05,840 Speaker 1: at the cellular level tell me about multiple sclerosis. 290 00:17:06,080 --> 00:17:11,000 Speaker 3: Yeah, so, in MS, the immune system attacks the milin sheath, 291 00:17:11,520 --> 00:17:17,080 Speaker 3: which is the insulating coating on neurons, and it's essential 292 00:17:17,240 --> 00:17:22,399 Speaker 3: for effective nerve conduction and thus sensation and you know, 293 00:17:22,520 --> 00:17:26,399 Speaker 3: muscle movement. I think of the milin sheath as you know, 294 00:17:26,440 --> 00:17:29,919 Speaker 3: the equivalent of the insulation around a wire. If you 295 00:17:30,320 --> 00:17:33,520 Speaker 3: cut the insulation on a wire, it's short circuits and 296 00:17:33,600 --> 00:17:37,199 Speaker 3: doesn't conduct. And likewise, if the immune system attacks and 297 00:17:37,280 --> 00:17:42,200 Speaker 3: damages the milin sheath on individual nerves, those nerves also 298 00:17:42,320 --> 00:17:45,639 Speaker 3: won't conduct. In us won't receive sensory signals or be 299 00:17:45,680 --> 00:17:49,040 Speaker 3: able to transmit signals to activate muscles in thus move. 300 00:17:50,160 --> 00:17:54,840 Speaker 1: So okay, so this is what goes wrong in patients 301 00:17:54,840 --> 00:17:58,760 Speaker 1: who have multiple sclerosis. Their own immune system attacks the 302 00:17:58,840 --> 00:18:05,119 Speaker 1: milin sheath that's for their nerves. When you set out 303 00:18:05,200 --> 00:18:09,320 Speaker 1: to study the role of EBV and MS, what are 304 00:18:09,359 --> 00:18:10,879 Speaker 1: you what's your hypothesis? 305 00:18:11,520 --> 00:18:15,520 Speaker 3: We were very focused on taking the B cells from 306 00:18:15,600 --> 00:18:21,920 Speaker 3: human multiple scrosis patients and then isolating the specific individual 307 00:18:21,960 --> 00:18:24,280 Speaker 3: antibodies produced by each B cell. 308 00:18:24,920 --> 00:18:26,560 Speaker 1: A B cell is a cell that's part of the 309 00:18:26,560 --> 00:18:30,520 Speaker 1: immune system, right, So you're looking at the antibodies produced 310 00:18:30,520 --> 00:18:33,280 Speaker 1: by the B cells in a multiple sclerosis patient. 311 00:18:33,720 --> 00:18:38,040 Speaker 3: Yes, And to our great surprise, many of the antibodies 312 00:18:38,119 --> 00:18:44,240 Speaker 3: were antibodies against viruses, of which EBV was a prominent virus. 313 00:18:44,760 --> 00:18:49,000 Speaker 1: Huh. So, in a sense, these are immune cells doing 314 00:18:49,040 --> 00:18:52,240 Speaker 1: what immune cells are supposed to do. They're creating antibodies 315 00:18:52,280 --> 00:18:54,080 Speaker 1: to attack pathogens. 316 00:18:54,160 --> 00:18:59,480 Speaker 3: And protect that individual against you know, viral pathogens such 317 00:18:59,480 --> 00:19:02,160 Speaker 3: as E as well as other herpes viruses. 318 00:19:02,520 --> 00:19:05,399 Speaker 1: When you put it that way, seems good, right, Oh great, 319 00:19:05,440 --> 00:19:09,399 Speaker 1: there's a virus has infected my body. My immune cells 320 00:19:09,440 --> 00:19:14,080 Speaker 1: are creating antibodies to attack that virus. That's what's supposed 321 00:19:14,080 --> 00:19:16,359 Speaker 1: to happen. Where does it go wrong? 322 00:19:17,320 --> 00:19:22,000 Speaker 3: So we discovered that some B cells made antibodies that 323 00:19:22,200 --> 00:19:26,439 Speaker 3: not only bound to EBV, but they cross bound to 324 00:19:26,880 --> 00:19:29,040 Speaker 3: human milin, meaning that. 325 00:19:28,960 --> 00:19:34,200 Speaker 1: The same antibody could essentially attack both the epstein bar 326 00:19:34,400 --> 00:19:38,240 Speaker 1: virus and the patient's own the person's own milin. 327 00:19:38,840 --> 00:19:39,520 Speaker 3: That's correct. 328 00:19:40,080 --> 00:19:43,480 Speaker 1: So was there like a specific moment when you realize 329 00:19:43,560 --> 00:19:48,199 Speaker 1: that MS patients have these antibodies that attack both EBV 330 00:19:48,320 --> 00:19:49,560 Speaker 1: and their own milin. 331 00:19:50,080 --> 00:19:55,840 Speaker 3: The lead author, Toby Lance on our Nature paper emailed 332 00:19:55,880 --> 00:20:00,440 Speaker 3: and called when he first found that these antibodies that 333 00:20:00,480 --> 00:20:03,800 Speaker 3: we had isolated from human MS patients spinal fluid B 334 00:20:03,880 --> 00:20:06,879 Speaker 3: cells when he found that they bound EBV. The email 335 00:20:06,960 --> 00:20:10,280 Speaker 3: may call me and they're like, Bill, they're reactive with EBV, 336 00:20:11,560 --> 00:20:13,320 Speaker 3: and I think we were both shocked. 337 00:20:13,960 --> 00:20:16,080 Speaker 1: Yeah, what'd you say? What'd you think when you got 338 00:20:16,080 --> 00:20:16,440 Speaker 1: that call? 339 00:20:17,160 --> 00:20:21,000 Speaker 3: I was floored. I couldn't believe it, and I was like, wow, 340 00:20:22,119 --> 00:20:27,520 Speaker 3: this is real. Because it's one thing to be statistically 341 00:20:28,200 --> 00:20:33,800 Speaker 3: or epidemiologically associated, and a second component is to have 342 00:20:33,840 --> 00:20:38,800 Speaker 3: a mechanistic basis, And our work provided the mechanistic basis 343 00:20:39,080 --> 00:20:43,040 Speaker 3: by which EBV was causing a subset of MS and 344 00:20:43,080 --> 00:20:47,320 Speaker 3: thus enables people to further believe the statistical finding that 345 00:20:47,400 --> 00:20:48,639 Speaker 3: it's strongly associated. 346 00:20:49,440 --> 00:20:53,359 Speaker 1: So I know that your study applies to something like 347 00:20:53,640 --> 00:20:57,240 Speaker 1: a quarter of MS patients. And then, as I understand it, 348 00:20:58,000 --> 00:21:02,240 Speaker 1: there's other researchers that shows similar things, quite similar things 349 00:21:02,280 --> 00:21:06,560 Speaker 1: going on in other patients, essentially antibodies that bind you know, 350 00:21:06,640 --> 00:21:09,440 Speaker 1: both the EBV and tamiolin. Is that right? 351 00:21:10,160 --> 00:21:14,000 Speaker 3: Yes, there's several groups studying other antigens that are mimicked 352 00:21:14,000 --> 00:21:18,679 Speaker 3: by EBV, including our own. And it turns out that 353 00:21:18,840 --> 00:21:23,840 Speaker 3: EBV infections also associated with other diseases such as systemic 354 00:21:23,920 --> 00:21:29,199 Speaker 3: loopus or SL and it's also associated with rheumatoid arthritis. 355 00:21:29,760 --> 00:21:32,879 Speaker 1: So these are all autoimmune disease, these diseases where the 356 00:21:32,920 --> 00:21:37,520 Speaker 1: body's immune system is attacking itself. Basically, yes, I mean 357 00:21:37,840 --> 00:21:41,480 Speaker 1: is this like, are we right now? Are you right 358 00:21:41,560 --> 00:21:44,600 Speaker 1: now finding the answer to this question that people have 359 00:21:44,680 --> 00:21:48,560 Speaker 1: been asking for whatever fifty years, eighty years, like, are 360 00:21:48,560 --> 00:21:52,840 Speaker 1: you finding the virus that is causing autoimmune diseases? 361 00:21:54,000 --> 00:21:58,840 Speaker 3: We believe we are, and we are performing experiments to 362 00:21:58,960 --> 00:22:03,119 Speaker 3: further bear out the mechanisms that would encompass one hundred 363 00:22:03,160 --> 00:22:07,200 Speaker 3: percent of MS and as well as of lupus and 364 00:22:07,760 --> 00:22:10,360 Speaker 3: other autoimmune diseases that are EBV associated. 365 00:22:10,960 --> 00:22:15,040 Speaker 1: And just to be clear, in these other autoimmune diseases, 366 00:22:15,880 --> 00:22:19,679 Speaker 1: what are the immune cells? What are the antibodies attacking? 367 00:22:20,480 --> 00:22:23,920 Speaker 3: In the other autoimmune diseases, They're not attacking myelin' They're 368 00:22:23,920 --> 00:22:29,520 Speaker 3: attacking their corresponding tissue anogens. So in loopus, the immune 369 00:22:29,520 --> 00:22:33,640 Speaker 3: system attacks the nucleus of cells and also the kidney. 370 00:22:34,240 --> 00:22:37,640 Speaker 3: In rheumatoid arthritis it attacks the joints. 371 00:22:38,080 --> 00:22:42,240 Speaker 1: So I mean, why does this one virus, EBV, Why 372 00:22:42,280 --> 00:22:46,520 Speaker 1: does this one virus cause us to make antibodies that 373 00:22:46,600 --> 00:22:50,120 Speaker 1: attack so many different parts of the body, Like, what's 374 00:22:50,160 --> 00:22:50,639 Speaker 1: going on? 375 00:22:51,560 --> 00:22:55,080 Speaker 3: You know? I think we don't know. We only you know, 376 00:22:55,200 --> 00:23:01,159 Speaker 3: hypothesize and speculate. My sense is that given EBV as 377 00:23:01,200 --> 00:23:05,359 Speaker 3: a herpes virus that's present in a person's B cells 378 00:23:05,400 --> 00:23:08,440 Speaker 3: as well as epithelial cells for life, and that it's 379 00:23:08,560 --> 00:23:13,560 Speaker 3: transiently reactivating on a periodic basis, that those properties make 380 00:23:13,600 --> 00:23:19,320 Speaker 3: it reimmunize the individual multiple times repeatedly over the courses 381 00:23:19,359 --> 00:23:20,000 Speaker 3: of their life. 382 00:23:20,680 --> 00:23:23,600 Speaker 1: So basically, most people get this virus when they're a kid. Right, 383 00:23:23,680 --> 00:23:27,040 Speaker 1: So you have this virus not just in your body 384 00:23:27,080 --> 00:23:29,399 Speaker 1: for your whole life, but in your B cells, in 385 00:23:29,480 --> 00:23:33,960 Speaker 1: your immune cells, and it periodically sort of turns back 386 00:23:34,040 --> 00:23:37,080 Speaker 1: on basically and causes an immune response. And it's the 387 00:23:37,080 --> 00:23:41,040 Speaker 1: idea that it's happening again and again and again. That's 388 00:23:41,119 --> 00:23:42,520 Speaker 1: fundamentally the problem. 389 00:23:42,920 --> 00:23:45,760 Speaker 3: I think that that's contributing to the problem. 390 00:23:46,880 --> 00:23:52,840 Speaker 1: Almost everybody gets EBV, has EBV. Very few people get 391 00:23:52,880 --> 00:23:55,880 Speaker 1: autoimmune diseases, certainly relative to the share of people who 392 00:23:55,880 --> 00:23:59,520 Speaker 1: get EBV. What's going on there? Like, why do only 393 00:23:59,560 --> 00:24:02,280 Speaker 1: some people get autoimmune diseases if we all have EBV. 394 00:24:03,119 --> 00:24:07,640 Speaker 3: Yeah, that's the big question, and that's why more than 395 00:24:07,680 --> 00:24:11,000 Speaker 3: five years ago we were skeptics that there was any 396 00:24:11,080 --> 00:24:15,920 Speaker 3: relationship between EBV and MS or these other autoimmune diseases 397 00:24:15,960 --> 00:24:16,560 Speaker 3: like lupus. 398 00:24:16,920 --> 00:24:21,000 Speaker 1: Well, so presumably it's sort of necessary but not sufficient, right, 399 00:24:21,080 --> 00:24:25,399 Speaker 1: Like you need to have EBV and something else or 400 00:24:25,440 --> 00:24:30,000 Speaker 1: in some other set of phenomenon, characteristics, risk factors, whatever 401 00:24:30,760 --> 00:24:34,320 Speaker 1: to develop autoimmune disorders? Do you have a sense of 402 00:24:34,480 --> 00:24:36,520 Speaker 1: what the other things are. 403 00:24:37,359 --> 00:24:43,320 Speaker 3: Recently, investigators in Germany Christian Muntz is showing that some 404 00:24:43,359 --> 00:24:48,679 Speaker 3: of these classic multiple sclerosis. Genetic risk factors are actually 405 00:24:48,800 --> 00:24:51,920 Speaker 3: risk factors for inability to mount a robust T cell 406 00:24:51,960 --> 00:24:57,080 Speaker 3: response to EBV. So they're basically preventing you from having 407 00:24:57,080 --> 00:25:00,480 Speaker 3: a T cell response that controls the EBV and that's 408 00:25:00,640 --> 00:25:04,160 Speaker 3: known to be associated with more rounds of reactivation. 409 00:25:04,840 --> 00:25:07,280 Speaker 1: Huh. So, just to be clear, T cells are are 410 00:25:07,280 --> 00:25:10,960 Speaker 1: an immune cell. And so basically this finding is if 411 00:25:11,000 --> 00:25:15,600 Speaker 1: your body is bad at controlling EBV, if you're genetically 412 00:25:15,800 --> 00:25:19,600 Speaker 1: bad at controlling EBV, you are more likely to get MS. 413 00:25:19,640 --> 00:25:23,000 Speaker 1: And that makes sense because if you're bad at controlling EBV, 414 00:25:23,080 --> 00:25:25,440 Speaker 1: it's gonna you can have more sort of outbreaks within 415 00:25:25,480 --> 00:25:27,680 Speaker 1: your body of EBV and you're gonna have more rounds 416 00:25:27,680 --> 00:25:30,600 Speaker 1: of this kind of mutation of antibodies. 417 00:25:30,920 --> 00:25:35,359 Speaker 3: Yes, let me give you another recent developments that's profound. 418 00:25:35,920 --> 00:25:36,320 Speaker 1: Okay. 419 00:25:37,080 --> 00:25:44,120 Speaker 3: A investigator in Germany, professor yorg Chet, gave human lupus 420 00:25:44,200 --> 00:25:48,600 Speaker 3: patients that had refractory disease that was refractory to all therapies. 421 00:25:49,080 --> 00:25:51,040 Speaker 1: Refractory meaning treatment doesn't work. 422 00:25:50,880 --> 00:25:54,879 Speaker 3: Treatment doesn't work. Yeah, he gave them a cancer drug 423 00:25:55,280 --> 00:26:00,520 Speaker 3: that completely depletes their B cells in a profound deep depletion. 424 00:26:00,800 --> 00:26:04,040 Speaker 3: So to get this drug, you have to be admitted 425 00:26:04,040 --> 00:26:07,800 Speaker 3: to the hospital for two weeks and receive chemotherapy for 426 00:26:07,840 --> 00:26:11,679 Speaker 3: a Boemero transplant, and then you receive this drug that 427 00:26:11,800 --> 00:26:14,160 Speaker 3: attacks all the B cells and removes them all from 428 00:26:14,160 --> 00:26:14,560 Speaker 3: the body. 429 00:26:14,640 --> 00:26:17,800 Speaker 1: So this is like a hardcore, nasty cancer drug. 430 00:26:18,160 --> 00:26:23,760 Speaker 3: Yes, okay, but he effectively cured these lupus patients. 431 00:26:24,480 --> 00:26:25,160 Speaker 1: Huh. 432 00:26:25,280 --> 00:26:31,120 Speaker 3: They're now three years out off all therapies, completely healthy. 433 00:26:31,280 --> 00:26:36,160 Speaker 1: So is the basic idea that if you destroy all 434 00:26:36,200 --> 00:26:40,000 Speaker 1: of the B cells, these B cells that have evolved 435 00:26:40,080 --> 00:26:42,200 Speaker 1: essentially in a way that is causing them to attack 436 00:26:42,240 --> 00:26:47,280 Speaker 1: the body, get well, they're extinct. You basically make them 437 00:26:47,280 --> 00:26:49,720 Speaker 1: go extinct and you get to start again. Is that the. 438 00:26:49,680 --> 00:26:53,280 Speaker 3: Idea there, exactly? And they term it an immune reset, 439 00:26:53,480 --> 00:26:58,240 Speaker 3: which I believe it is because after this Boemere transplant 440 00:26:58,280 --> 00:27:02,240 Speaker 3: type of B cell depletion merges our naive B cells 441 00:27:02,280 --> 00:27:04,560 Speaker 3: and then those repopulate the whole repertoire. 442 00:27:04,680 --> 00:27:07,680 Speaker 1: Yeah, you're starting from scratch, you get to start over, Yes, 443 00:27:07,720 --> 00:27:10,840 Speaker 1: and the finding suggest that when you start from scratch, 444 00:27:11,440 --> 00:27:14,280 Speaker 1: you get better. Your new B cells are not creating 445 00:27:14,320 --> 00:27:17,480 Speaker 1: antibodies that attack your own body, if I understand. 446 00:27:17,119 --> 00:27:21,080 Speaker 3: Correctly, that's correct. But you also have to rego through 447 00:27:21,200 --> 00:27:23,800 Speaker 3: all of your childhood infections and vaccines. 448 00:27:24,240 --> 00:27:28,080 Speaker 1: Oh right, so it's just carpet bomb. You're just carpet 449 00:27:28,119 --> 00:27:32,200 Speaker 1: bombing the B cells. You're not immune to anything anymore. 450 00:27:32,359 --> 00:27:35,600 Speaker 3: That's correct. You're starting from scratch, But compared to having 451 00:27:36,040 --> 00:27:41,200 Speaker 3: bad lupus or bad autoimmune disease, it's a huge win 452 00:27:41,400 --> 00:27:42,560 Speaker 3: for the individual patient. 453 00:27:42,640 --> 00:27:44,639 Speaker 1: So what you want, presumably in the same way, we 454 00:27:44,680 --> 00:27:48,280 Speaker 1: have developed targeted cancer therapy, so you don't have to 455 00:27:48,320 --> 00:27:52,040 Speaker 1: carpet bomb whatever rapidly dividing cells. It seems like if 456 00:27:52,080 --> 00:27:55,800 Speaker 1: you could just target the B cells you don't like 457 00:27:56,000 --> 00:27:57,920 Speaker 1: and let all the other B cells be, that. 458 00:27:57,880 --> 00:28:02,560 Speaker 3: Would be great, absolutely, and we're working hard to develop 459 00:28:03,000 --> 00:28:05,359 Speaker 3: therapeutic approaches that would do exactly that. 460 00:28:07,240 --> 00:28:09,120 Speaker 1: Thank you so much for your time. I really appreciate 461 00:28:09,119 --> 00:28:09,560 Speaker 1: it great. 462 00:28:09,600 --> 00:28:11,520 Speaker 3: Thanks for featuring EBV in our work. 463 00:28:14,560 --> 00:28:17,320 Speaker 1: Bill Robinson is a professor of medicine and chief of 464 00:28:17,320 --> 00:28:21,199 Speaker 1: the Division of Immunology and Rheumatology at Stanford. Thanks to 465 00:28:21,240 --> 00:28:26,680 Speaker 1: my guest today, Dorothy Crawford and Bill Robinson next week 466 00:28:26,760 --> 00:28:29,919 Speaker 1: on incubation. Why did he jump on the boat or 467 00:28:29,960 --> 00:28:32,879 Speaker 1: train or boat and train or whatever and go to 468 00:28:32,960 --> 00:28:36,040 Speaker 1: this remote island in the North Sea. 469 00:28:36,080 --> 00:28:37,199 Speaker 2: Why did he do that? 470 00:28:37,760 --> 00:28:40,480 Speaker 1: A family doctor goes to great lengths to figure out 471 00:28:40,480 --> 00:28:46,760 Speaker 1: the relationship between chicken pox and shingles. Incubation is a 472 00:28:46,760 --> 00:28:50,480 Speaker 1: co production of Pushkin Industries and Ruby Studio at iHeartMedia. 473 00:28:50,960 --> 00:28:54,120 Speaker 1: It's produced by Kate Ferby and Brittany Cronin. The show 474 00:28:54,200 --> 00:28:57,440 Speaker 1: is edited by Lacy Roberts. It's mastered by Sarah Bruguier, 475 00:28:58,000 --> 00:29:01,880 Speaker 1: fact checking by Joseph Friedman. Our executive producers are Lacy 476 00:29:01,960 --> 00:29:05,520 Speaker 1: Roberts and Matt Roman. I'm Jacob Goldstein. Thanks for listening.