1 00:00:00,120 --> 00:00:02,880 Speaker 1: Hi, this is new I am currently staying at home 2 00:00:03,000 --> 00:00:06,360 Speaker 1: in Rome to bring you this episode this week. I'm 3 00:00:06,400 --> 00:00:09,440 Speaker 1: recording from my home, so you may notice a difference 4 00:00:09,440 --> 00:00:15,880 Speaker 1: in audio quality on this episode of News World. This 5 00:00:15,920 --> 00:00:18,520 Speaker 1: episode is the fifth in a series of episodes we're 6 00:00:18,520 --> 00:00:23,400 Speaker 1: presenting about COVID nineteen healthcare breakthroughs. We're looking at treatments 7 00:00:23,400 --> 00:00:27,240 Speaker 1: for COVID nineteen that will help improve patient outcomes or 8 00:00:27,360 --> 00:00:31,720 Speaker 1: stop the virus from spreading. Vaccine development for COVID nineteen 9 00:00:32,200 --> 00:00:37,040 Speaker 1: is underway across the world. Multiple pharmaceutical companies are working 10 00:00:37,040 --> 00:00:40,360 Speaker 1: on developing a vaccine they hope to release as soon 11 00:00:40,400 --> 00:00:44,400 Speaker 1: as twenty twenty one. My guest today is currently working 12 00:00:44,400 --> 00:00:48,920 Speaker 1: with Halobax hell Elsie, a special purpose subsidiary of Altering 13 00:00:48,960 --> 00:00:53,519 Speaker 1: Therapeutic Team, to develop a self assembling vaccine to protect 14 00:00:53,560 --> 00:00:57,720 Speaker 1: patients at risk of COVID nineteen infections. The vaccine is 15 00:00:57,760 --> 00:01:01,560 Speaker 1: being designed specifically and responds to the pandemic and with 16 00:01:01,800 --> 00:01:04,759 Speaker 1: safety as the key component, so as not to attack 17 00:01:04,800 --> 00:01:09,240 Speaker 1: the immune system one administry. The self assembling vaccine is 18 00:01:09,280 --> 00:01:13,640 Speaker 1: also being designed to be highly adaptable, allowing for seamless 19 00:01:13,680 --> 00:01:18,959 Speaker 1: modifications in the face of potential genetic rift or future coronaviruses. 20 00:01:19,480 --> 00:01:23,600 Speaker 1: Will discuss this revolutionary vaccine research and other vaccines and 21 00:01:23,680 --> 00:01:27,440 Speaker 1: studies that are in development for COVID nineteen. Doctor Mark 22 00:01:27,480 --> 00:01:31,560 Speaker 1: Poznanski is an Associate Professor of Medicine at Harvard Medical School, 23 00:01:31,920 --> 00:01:36,119 Speaker 1: an attending physician and Infectious Diseases Medicine at the Massachusetts 24 00:01:36,120 --> 00:01:40,240 Speaker 1: General Hospital, and director of the Vaccine and Immunotherapy Center. 25 00:01:40,560 --> 00:01:45,160 Speaker 1: This clinical subspecialization includes the treatment of infection and immune 26 00:01:45,200 --> 00:01:57,560 Speaker 1: compromise patients. Leoming a start by how did you get 27 00:01:57,600 --> 00:02:00,440 Speaker 1: to hear? It's a very interesting question as a sort 28 00:02:00,440 --> 00:02:03,520 Speaker 1: of cyclical. I wanted to be a doctor from about 29 00:02:03,560 --> 00:02:07,280 Speaker 1: the age of eight. My mother's a doctor. I come 30 00:02:07,320 --> 00:02:09,360 Speaker 1: from a line of doctors, so age of eight, I 31 00:02:09,400 --> 00:02:12,000 Speaker 1: wanted to become a doctor. And interestingly, when I was 32 00:02:12,040 --> 00:02:17,560 Speaker 1: about eleven, I realized that there were infectious diseases. So 33 00:02:17,639 --> 00:02:19,840 Speaker 1: I had two brothers at that time, and when they 34 00:02:19,919 --> 00:02:23,720 Speaker 1: got something, I realized I would get it shortly thereafter. 35 00:02:23,919 --> 00:02:27,640 Speaker 1: And the pinnacle of that story was that my parents 36 00:02:27,720 --> 00:02:31,480 Speaker 1: came home one day after school and they found that 37 00:02:31,560 --> 00:02:34,520 Speaker 1: I'd locked my brothers in a room because they were 38 00:02:34,600 --> 00:02:38,120 Speaker 1: developing chicken pox. So at the age of eleven, I 39 00:02:38,160 --> 00:02:42,960 Speaker 1: had already been aware of the idea of quarantine. Of 40 00:02:42,960 --> 00:02:46,880 Speaker 1: course I got chicken pox anyway, but because my parents 41 00:02:46,960 --> 00:02:49,079 Speaker 1: let them out of the room so they could have dinner. 42 00:02:49,480 --> 00:02:51,760 Speaker 1: From there. Obviously I went to medical school. But I 43 00:02:51,760 --> 00:02:56,760 Speaker 1: think what's pertinent COVID nineteen is that I emerged as 44 00:02:56,800 --> 00:03:01,040 Speaker 1: a young medical student and intern at the very beginning 45 00:03:01,280 --> 00:03:05,400 Speaker 1: of the HIV pandemic at Edinburgh University Medical School. So 46 00:03:05,880 --> 00:03:10,000 Speaker 1: in Edinburgh, the story is quite dramatic. All two thousand 47 00:03:10,040 --> 00:03:14,600 Speaker 1: ivy drug users in Edinburgh zero converted in the space 48 00:03:14,639 --> 00:03:18,480 Speaker 1: of about six months, so they all got HIV because 49 00:03:18,840 --> 00:03:21,680 Speaker 1: there were no needle banks or anything like that, so 50 00:03:21,720 --> 00:03:25,079 Speaker 1: they were all sharing needles. Was that about nineteen eighty three, 51 00:03:25,560 --> 00:03:28,360 Speaker 1: exactly nineteen eighty three to nineteen eighty six, so I 52 00:03:28,440 --> 00:03:30,560 Speaker 1: was for my final years of medical school and then 53 00:03:30,600 --> 00:03:34,720 Speaker 1: becoming an intern. You're absolutely right on the year, and 54 00:03:35,000 --> 00:03:38,400 Speaker 1: it just was all encompassing. You can imagine being an 55 00:03:38,400 --> 00:03:43,000 Speaker 1: intern at the beginning of that great pandemic. I find 56 00:03:43,040 --> 00:03:46,320 Speaker 1: myself reflecting back to that time and how we dealt 57 00:03:46,320 --> 00:03:49,840 Speaker 1: with it and the lessons of that now with COVID nineteen, 58 00:03:49,840 --> 00:03:53,840 Speaker 1: which actually in terms of scale is much much greater, 59 00:03:54,040 --> 00:03:58,080 Speaker 1: because the at risk population is the entire global population 60 00:03:58,200 --> 00:04:01,720 Speaker 1: as far as we know became aware. Obviously, hivs are 61 00:04:01,760 --> 00:04:06,400 Speaker 1: sexually transmitted disease. There are risk behaviors ivy, drug use, 62 00:04:06,480 --> 00:04:11,080 Speaker 1: and so forth. So now forty years later, we are 63 00:04:11,200 --> 00:04:15,520 Speaker 1: facing the real pandemic where the whole population is vulnerable 64 00:04:15,960 --> 00:04:20,440 Speaker 1: and calls for an even greater level of targeted scientific 65 00:04:20,440 --> 00:04:28,120 Speaker 1: and medical activity to contain this enormous threat, both medically, socially, economically, spiritually, 66 00:04:28,160 --> 00:04:32,320 Speaker 1: you name it. One makes COVID nineteen a greater threat 67 00:04:32,360 --> 00:04:36,920 Speaker 1: than the other pandemics of the last forty years. I 68 00:04:36,960 --> 00:04:41,479 Speaker 1: would say what appears to be an entirely naive and 69 00:04:41,560 --> 00:04:45,760 Speaker 1: I'm musing the word immune naive population globally. So it's 70 00:04:45,800 --> 00:04:49,119 Speaker 1: a virus that no one has ever seen up until 71 00:04:49,120 --> 00:04:52,000 Speaker 1: what we think may have been December of last year. 72 00:04:52,120 --> 00:04:57,159 Speaker 1: So the whole global human population is at risk of infection. 73 00:04:57,480 --> 00:05:02,760 Speaker 1: That's number one. Number two. As was the case with HIV, 74 00:05:02,960 --> 00:05:06,320 Speaker 1: we're just beginning to learn about the disease that it causes. 75 00:05:06,839 --> 00:05:09,000 Speaker 1: In other words, at first we thought, well, maybe it's 76 00:05:09,040 --> 00:05:14,159 Speaker 1: like a serious version of flu, maybe it's like SARS was. 77 00:05:14,720 --> 00:05:17,360 Speaker 1: But it turns out to have its own issues of 78 00:05:17,360 --> 00:05:19,880 Speaker 1: how it presents, and you're probably following the news like 79 00:05:20,000 --> 00:05:23,400 Speaker 1: I am, and I'm reading medical literatron the pediatric cases 80 00:05:24,040 --> 00:05:28,480 Speaker 1: of this Kawasaki vasculitis disease, the way that it presents 81 00:05:28,480 --> 00:05:31,440 Speaker 1: in children, the way that it presents in adults, the 82 00:05:31,680 --> 00:05:35,320 Speaker 1: different organs that it affects in adults, the skin, the gut, 83 00:05:35,440 --> 00:05:40,200 Speaker 1: the brain, the immune system itself, obviously, the lungs, the heart, 84 00:05:40,279 --> 00:05:44,440 Speaker 1: the kidney. It's not just that the whole population of 85 00:05:44,480 --> 00:05:48,760 Speaker 1: the world is vulnerable, but within that population, there are 86 00:05:49,400 --> 00:05:53,000 Speaker 1: proportions of that population that are vulnerable to all these 87 00:05:53,080 --> 00:05:57,480 Speaker 1: different hits on their particular organ systems. I do have 88 00:05:57,520 --> 00:06:00,159 Speaker 1: a little bit of a skewed view because when we're 89 00:06:00,240 --> 00:06:02,200 Speaker 1: up working in the hospital with sort of the infectious 90 00:06:02,240 --> 00:06:06,040 Speaker 1: disease attending following patients in the ICU, so we do 91 00:06:06,160 --> 00:06:09,920 Speaker 1: see the most severely ill patients. But what we're seeing 92 00:06:09,960 --> 00:06:14,200 Speaker 1: our patients who are civilial and multiple organ systems in 93 00:06:14,240 --> 00:06:20,359 Speaker 1: their body have been damaged. That is a serious pandemic condition. 94 00:06:21,000 --> 00:06:22,960 Speaker 1: I just don't want to be alarmist to the extent 95 00:06:23,000 --> 00:06:26,640 Speaker 1: that obviously the vast majority of people actually recover, but 96 00:06:26,920 --> 00:06:29,800 Speaker 1: what it's leaving as a burden for the healthcare system. 97 00:06:29,880 --> 00:06:32,920 Speaker 1: Is obviously the most seriously ill patients, which is much 98 00:06:33,000 --> 00:06:37,840 Speaker 1: more significant than HIV was. Because of the numbers that 99 00:06:37,880 --> 00:06:41,679 Speaker 1: we're dealing with. The pandemic curve has been flattened in Massachusetts, 100 00:06:41,680 --> 00:06:45,359 Speaker 1: but we have three hundred or thereabouts patients with moderate 101 00:06:45,440 --> 00:06:48,920 Speaker 1: or severe disease in the hospital at this very moment. 102 00:06:49,040 --> 00:06:52,520 Speaker 1: That's a lot of patients, a lot of beds in 103 00:06:52,560 --> 00:06:56,200 Speaker 1: a hospital that has about a thousand total beds. We 104 00:06:56,279 --> 00:07:00,360 Speaker 1: never saw that with HIV. That scale of hospital pancy 105 00:07:00,600 --> 00:07:05,640 Speaker 1: was never seen with HIV. You have a virus which 106 00:07:05,720 --> 00:07:09,279 Speaker 1: is probably in some ways still evolving in its relationship 107 00:07:09,320 --> 00:07:12,520 Speaker 1: with humans, because in a sense, if it's new to us, 108 00:07:12,560 --> 00:07:16,720 Speaker 1: we're new to it, yes, and therefore we don't quite 109 00:07:16,760 --> 00:07:20,920 Speaker 1: know how many permutations are going to be how it 110 00:07:21,000 --> 00:07:25,400 Speaker 1: affects us. Correct. Does it look like most of the 111 00:07:25,400 --> 00:07:29,520 Speaker 1: people who do recover are developing some kind of immunity 112 00:07:30,000 --> 00:07:32,880 Speaker 1: or do we not know enough yet? Well? I think 113 00:07:32,920 --> 00:07:35,680 Speaker 1: the thing is, it's like the phrase some kind of immunity, 114 00:07:35,840 --> 00:07:40,160 Speaker 1: so we can detect that they have antibodies to the virus. 115 00:07:40,760 --> 00:07:44,760 Speaker 1: The question is, because the disease is new, would they 116 00:07:44,840 --> 00:07:47,520 Speaker 1: get the disease again if they're challenged. I don't think 117 00:07:47,560 --> 00:07:50,920 Speaker 1: we yet know that case. I haven't seen cases of 118 00:07:51,360 --> 00:07:54,720 Speaker 1: patients who have demonstrably had dual infection. You know, they 119 00:07:54,760 --> 00:07:57,200 Speaker 1: were infected early on in the pandemic, and then they're 120 00:07:57,480 --> 00:08:02,160 Speaker 1: infected again and actually become I do go with doctor 121 00:08:02,200 --> 00:08:07,120 Speaker 1: Anthony Fauci's point that it would be a very unusual virus. 122 00:08:07,640 --> 00:08:13,320 Speaker 1: It fails to evoke a protective immune response or proper 123 00:08:13,800 --> 00:08:19,640 Speaker 1: immunity in humans. Humans have an amazing immune system that 124 00:08:19,960 --> 00:08:24,320 Speaker 1: is obviously kept a species alive and thriving for millions 125 00:08:24,320 --> 00:08:28,400 Speaker 1: of years and has not been extinguished by a pandemic yet. 126 00:08:29,360 --> 00:08:33,560 Speaker 1: So the idea that somehow from that regard COVID would 127 00:08:33,600 --> 00:08:36,800 Speaker 1: be completely different. I agree with doctor Fauci. I think 128 00:08:36,800 --> 00:08:41,000 Speaker 1: it would be highly unlikely. But the science is still 129 00:08:41,000 --> 00:08:42,760 Speaker 1: out there that needs to be done to prove it, 130 00:08:42,800 --> 00:08:45,480 Speaker 1: and some of that is time. We just need to 131 00:08:45,600 --> 00:08:48,640 Speaker 1: learn more. It's not something we can learn immediately, because 132 00:08:48,640 --> 00:08:51,040 Speaker 1: the pandemic has to play out longer for us to 133 00:08:51,120 --> 00:09:09,360 Speaker 1: understand that. I guess, other than the Black Death in 134 00:09:09,480 --> 00:09:12,360 Speaker 1: the seventeenth century, which may have killed off the third 135 00:09:12,360 --> 00:09:16,120 Speaker 1: of Europe, even the Spanish flu, which killed a lot 136 00:09:16,200 --> 00:09:19,040 Speaker 1: of people more than the First World War in terms 137 00:09:19,040 --> 00:09:24,040 Speaker 1: of the total species, had a relatively smaller impact than 138 00:09:24,080 --> 00:09:27,080 Speaker 1: the kind of disaster that I think we're kind of 139 00:09:27,080 --> 00:09:30,199 Speaker 1: braced for. Well, I mean, the history of pandemics like 140 00:09:30,400 --> 00:09:33,320 Speaker 1: that is obviously people left the cities to go to 141 00:09:33,360 --> 00:09:36,360 Speaker 1: the countryside, and that was when there was mostly a 142 00:09:36,480 --> 00:09:41,040 Speaker 1: rural economy. Now the average city size is millions of people, 143 00:09:41,160 --> 00:09:43,840 Speaker 1: and most of the productivity as occurring in the cities. 144 00:09:44,360 --> 00:09:47,760 Speaker 1: Elio Serhouni when he was the head of NIH, he'd 145 00:09:47,800 --> 00:09:53,320 Speaker 1: been born in Algeria and had a unique view of 146 00:09:53,320 --> 00:09:55,839 Speaker 1: the world, and I remember working with him in one 147 00:09:55,880 --> 00:09:59,000 Speaker 1: meeting and he said, you now have four star hotels 148 00:09:59,080 --> 00:10:02,840 Speaker 1: one block away from a slum in which people have 149 00:10:02,920 --> 00:10:06,760 Speaker 1: walked in from the jungle. Right. The number of things 150 00:10:06,800 --> 00:10:10,040 Speaker 1: that are going to cross over, that are going to 151 00:10:10,160 --> 00:10:13,719 Speaker 1: enter the sort of first World by jet aircraft is 152 00:10:13,760 --> 00:10:18,640 Speaker 1: almost imagining and is virtually guaranteed. And in a sense 153 00:10:18,679 --> 00:10:21,559 Speaker 1: that's what we're living through. A bad virus out of 154 00:10:21,600 --> 00:10:26,440 Speaker 1: southern China now got me spending nine weeks in a 155 00:10:26,480 --> 00:10:30,360 Speaker 1: house in Rome. Italians try to cope with us, and 156 00:10:30,400 --> 00:10:33,480 Speaker 1: you're going through the same thing in New England. I'm 157 00:10:33,520 --> 00:10:36,000 Speaker 1: so glad you make that point, because I think that 158 00:10:36,040 --> 00:10:41,680 Speaker 1: can sometimes be lost that Let's take Wuhan. Before industrialization, 159 00:10:41,880 --> 00:10:45,120 Speaker 1: it might have been a little city, mostly agrarian, and 160 00:10:45,240 --> 00:10:49,400 Speaker 1: so forth. It expands to a city state ten to 161 00:10:49,440 --> 00:10:54,199 Speaker 1: fifteen million with one of these wild animal grocery markets 162 00:10:54,720 --> 00:11:00,199 Speaker 1: in it. The scope of disease transfer between animals a 163 00:11:00,400 --> 00:11:03,719 Speaker 1: vast human population is now massive. And I do want 164 00:11:03,720 --> 00:11:06,679 Speaker 1: to say, to the great credit of the US Department 165 00:11:06,720 --> 00:11:10,199 Speaker 1: of Defense, they were monitoring this over a decade ago 166 00:11:10,520 --> 00:11:13,080 Speaker 1: and looking at virus in those animals and looking at 167 00:11:13,120 --> 00:11:16,000 Speaker 1: those ones that could potentially cross over into the humans. 168 00:11:16,040 --> 00:11:20,680 Speaker 1: It was a pandemic waiting to happen. There's an amazing 169 00:11:20,800 --> 00:11:24,840 Speaker 1: article from two thousand and seven in which four Chinese 170 00:11:24,880 --> 00:11:31,199 Speaker 1: researchers said, people keep eating this particular bat from southern China, 171 00:11:31,240 --> 00:11:35,160 Speaker 1: and this bat clearly is carrying this particular virus, and 172 00:11:35,200 --> 00:11:38,560 Speaker 1: they said, sooner or later, this is going to be 173 00:11:38,600 --> 00:11:42,960 Speaker 1: a disaster. Now this is thirteen years ago, but the 174 00:11:43,000 --> 00:11:46,080 Speaker 1: other part of it is this is not the last one, 175 00:11:46,920 --> 00:11:49,200 Speaker 1: and we need to be thinking about building a public 176 00:11:49,240 --> 00:11:53,080 Speaker 1: health system that can assume that every five or ten 177 00:11:53,200 --> 00:11:56,800 Speaker 1: years for the foreseeable future, something will come out of 178 00:11:56,920 --> 00:12:00,320 Speaker 1: somewhere and it will be new and different, and we'll 179 00:12:00,320 --> 00:12:03,240 Speaker 1: have to be able to mobilize and deal. And that's 180 00:12:03,240 --> 00:12:05,840 Speaker 1: been our experience for the last twenty or twenty five 181 00:12:05,920 --> 00:12:09,120 Speaker 1: years now. We've had considerable growth in a number of 182 00:12:09,679 --> 00:12:13,040 Speaker 1: interesting things that come out of Mother Nature decided to 183 00:12:13,040 --> 00:12:17,600 Speaker 1: become visitors. But now, Jemmy, whose huge amount of hope 184 00:12:17,679 --> 00:12:21,600 Speaker 1: being placed on this whole notion of getting to a vaccine. 185 00:12:22,080 --> 00:12:25,080 Speaker 1: What's your sense of that. How likely is it that 186 00:12:25,160 --> 00:12:28,480 Speaker 1: we will develop a vaccine for COVID nineteen in a 187 00:12:28,520 --> 00:12:32,160 Speaker 1: reasonable period of time. Number One, the human race has 188 00:12:32,200 --> 00:12:35,400 Speaker 1: certain advantages in this setting, and one of it is 189 00:12:35,480 --> 00:12:38,760 Speaker 1: diversity of thinking, diversity of ideas. The fact that I 190 00:12:38,800 --> 00:12:41,760 Speaker 1: think at the last count they're over a hundred vaccine 191 00:12:41,840 --> 00:12:47,640 Speaker 1: platforms going after COVID nineteen is a great human response. 192 00:12:47,679 --> 00:12:50,080 Speaker 1: There's no reason at this point as a human to 193 00:12:50,160 --> 00:12:53,520 Speaker 1: say I'm banking on this one. I'm banking on that one. 194 00:12:53,840 --> 00:12:57,959 Speaker 1: It's just that human diverse thought in a scientific setting 195 00:12:58,440 --> 00:13:02,040 Speaker 1: is one of our great opportunity builders, and in this 196 00:13:02,280 --> 00:13:06,160 Speaker 1: context gives us multiple shots on goal. So I think 197 00:13:06,200 --> 00:13:10,280 Speaker 1: that it's likely I can't say it's very likely because 198 00:13:10,480 --> 00:13:13,040 Speaker 1: we don't know enough about the disease or the immune 199 00:13:13,080 --> 00:13:16,360 Speaker 1: response yet to it. Like we've started off talking about 200 00:13:16,600 --> 00:13:19,640 Speaker 1: what is a protective immune response, since we don't quite 201 00:13:19,720 --> 00:13:21,559 Speaker 1: yet know what that is. We don't know what we're 202 00:13:21,600 --> 00:13:24,800 Speaker 1: building the vaccine to do. However, because we've got over 203 00:13:24,840 --> 00:13:28,600 Speaker 1: a hundred shots on goal, we may just hit on 204 00:13:28,679 --> 00:13:31,120 Speaker 1: the one that counts. And we have to remember that 205 00:13:31,160 --> 00:13:33,600 Speaker 1: a lot of great vaccine development all the way back 206 00:13:33,600 --> 00:13:37,640 Speaker 1: to small parks, and even before that, President George Washington 207 00:13:38,240 --> 00:13:43,600 Speaker 1: using small parks lesions to vaccinate his own army was 208 00:13:43,720 --> 00:13:46,720 Speaker 1: very successful in its own right. So we may be 209 00:13:46,800 --> 00:13:49,360 Speaker 1: able to get to a vaccine without knowing everything about 210 00:13:49,360 --> 00:13:52,120 Speaker 1: the immunology of virus. So I think it's likely, but 211 00:13:52,240 --> 00:13:55,040 Speaker 1: there are limitations. The likeliness has bred out of the 212 00:13:55,120 --> 00:13:59,360 Speaker 1: diversity of platforms and the fact that in vaccine history 213 00:13:59,679 --> 00:14:03,640 Speaker 1: we have hit it lucky without even potentially sometimes like 214 00:14:03,800 --> 00:14:07,800 Speaker 1: Jenna did, without even knowing immunology or virology. He came 215 00:14:07,880 --> 00:14:11,320 Speaker 1: up with the smallpox vaccine. So that makes it likely, 216 00:14:11,360 --> 00:14:13,280 Speaker 1: But I can't say more than that. At this point, 217 00:14:13,400 --> 00:14:16,400 Speaker 1: you'd I just think that we just have to rely 218 00:14:16,600 --> 00:14:19,520 Speaker 1: on the diversity of science to prove one way or 219 00:14:19,520 --> 00:14:21,400 Speaker 1: another that this is going to happen in the next 220 00:14:21,400 --> 00:14:24,880 Speaker 1: twelve to eighteen months. And if we're talking about, in 221 00:14:24,920 --> 00:14:28,400 Speaker 1: the best case, twelve to eighteen months, how do we 222 00:14:28,560 --> 00:14:34,360 Speaker 1: cope with both the social isolation and the economic decay 223 00:14:35,280 --> 00:14:38,800 Speaker 1: over that longer period of time. The other play that 224 00:14:38,960 --> 00:14:43,080 Speaker 1: humans have developed is tremendous global communication. So we have 225 00:14:43,200 --> 00:14:47,120 Speaker 1: to learn from each other, from New Zealand, from Israel, 226 00:14:47,240 --> 00:14:51,200 Speaker 1: from South Korea, countries that have worked out systems to 227 00:14:51,280 --> 00:14:53,800 Speaker 1: get their people back to work. One of the things 228 00:14:53,920 --> 00:14:57,280 Speaker 1: from Israel is that I think they have recognized that 229 00:14:57,720 --> 00:15:01,440 Speaker 1: children going back to school is because that frees up 230 00:15:01,520 --> 00:15:04,240 Speaker 1: parents being able to go back to work. You can't 231 00:15:04,240 --> 00:15:06,680 Speaker 1: have parents going back to work unless you have kids 232 00:15:06,720 --> 00:15:08,800 Speaker 1: going back to school. And I could, at least following 233 00:15:08,840 --> 00:15:11,360 Speaker 1: the news on the times of Israel and so forth, 234 00:15:11,360 --> 00:15:15,520 Speaker 1: I can see that they're slowly bringing the schools back. First, 235 00:15:16,000 --> 00:15:18,560 Speaker 1: I guess my point to you is I'm an expert 236 00:15:18,560 --> 00:15:21,120 Speaker 1: in infectious diseases, but I'm not an expert in sort 237 00:15:21,120 --> 00:15:24,480 Speaker 1: of population control in bringing back the economy. But I 238 00:15:24,560 --> 00:15:27,000 Speaker 1: know that there are models being developed all over the 239 00:15:27,000 --> 00:15:31,280 Speaker 1: world that are looking successful that we should learn from. 240 00:15:31,520 --> 00:15:35,120 Speaker 1: And I also think that one could assemble like these 241 00:15:35,160 --> 00:15:40,320 Speaker 1: countries are database systems based on maybe not perfect, but 242 00:15:40,800 --> 00:15:44,800 Speaker 1: good enough immunology testing. I wrote an op ed in 243 00:15:44,840 --> 00:15:49,240 Speaker 1: The Hill about this. There are good enough systems that 244 00:15:49,280 --> 00:15:51,840 Speaker 1: could help us get back to work. It just suddenly 245 00:15:51,840 --> 00:15:54,440 Speaker 1: struck me. I go to work every day. I work 246 00:15:54,440 --> 00:15:57,640 Speaker 1: in a hospital. I have to attest to my symptoms. 247 00:15:57,800 --> 00:16:01,800 Speaker 1: I have to wash my hands, wear gloves when appropriate, masks, 248 00:16:01,840 --> 00:16:04,520 Speaker 1: all of the stuff you can imagine. And I go 249 00:16:04,640 --> 00:16:07,240 Speaker 1: to work every day. So if there's a less than 250 00:16:07,360 --> 00:16:09,840 Speaker 1: perfect system, I don't have a blood test every day 251 00:16:09,880 --> 00:16:12,520 Speaker 1: to do that. But there's a system that keeps the 252 00:16:12,600 --> 00:16:16,000 Speaker 1: hospital working. And I think for each company and for 253 00:16:16,080 --> 00:16:19,320 Speaker 1: each public service, there are systems that can be put 254 00:16:19,360 --> 00:16:22,160 Speaker 1: in place that make that possible. And I just think 255 00:16:22,440 --> 00:16:26,520 Speaker 1: that needs to come into play and start to be deployed, 256 00:16:26,920 --> 00:16:43,960 Speaker 1: both at federal and state levels to make this happen. Now, 257 00:16:44,080 --> 00:16:46,680 Speaker 1: apparently there's an articles come out in the last couple 258 00:16:46,680 --> 00:16:50,160 Speaker 1: of days from China indicating that there maybe as many 259 00:16:50,200 --> 00:16:55,160 Speaker 1: as thirty different strains of this particular virus, which I 260 00:16:55,160 --> 00:16:57,920 Speaker 1: would think is fairly unusual to have that rate. Of 261 00:16:58,040 --> 00:17:02,440 Speaker 1: mutation or that of evolution. Do you sense you're dealing 262 00:17:02,480 --> 00:17:06,560 Speaker 1: with more than one core kind of virus when you 263 00:17:06,600 --> 00:17:10,040 Speaker 1: look at the patients that you're dealing with. Not yet, 264 00:17:10,280 --> 00:17:14,359 Speaker 1: other than we see mild, moderate, and severe disease. I 265 00:17:14,400 --> 00:17:16,840 Speaker 1: don't think that's yet been worked out. However, there's a 266 00:17:16,880 --> 00:17:22,199 Speaker 1: beautiful article published by los Alamos and Sheffield University in 267 00:17:22,200 --> 00:17:27,480 Speaker 1: the UK which a tremendous genetic experts looking at actually 268 00:17:27,560 --> 00:17:31,960 Speaker 1: two dominant strains of the virus. There was the original 269 00:17:32,080 --> 00:17:34,800 Speaker 1: founder strain and then there was a mutation and there's 270 00:17:34,800 --> 00:17:39,360 Speaker 1: a secondary strain. Interestingly, the secondary strain dominates in England 271 00:17:39,800 --> 00:17:42,240 Speaker 1: compared to other countries where there might be a mix 272 00:17:42,280 --> 00:17:44,560 Speaker 1: of the first strain and the second. I haven't read 273 00:17:44,640 --> 00:17:47,720 Speaker 1: the article about thirty different variants. I think the important 274 00:17:47,720 --> 00:17:51,359 Speaker 1: thing scientifically is the one that they're looking at in 275 00:17:51,359 --> 00:17:55,720 Speaker 1: the Sheffield los Alamos study is the predominant strains, and 276 00:17:55,800 --> 00:18:00,840 Speaker 1: the mutation does affect a major binding site that antibodies 277 00:18:00,880 --> 00:18:04,200 Speaker 1: go after in the virus. There are mutations of virus 278 00:18:04,240 --> 00:18:07,960 Speaker 1: can have which make no difference to either its immunology 279 00:18:08,160 --> 00:18:10,359 Speaker 1: or the way it causes disease, and there others like 280 00:18:10,480 --> 00:18:13,720 Speaker 1: this one that's interesting that may actually affect how your 281 00:18:13,720 --> 00:18:17,080 Speaker 1: immune system reacts to it. That's the most up to 282 00:18:17,160 --> 00:18:19,399 Speaker 1: date and article I think published or at least in 283 00:18:19,480 --> 00:18:24,120 Speaker 1: preprint version this week, but beautifully written, beautifully studied by 284 00:18:24,160 --> 00:18:27,800 Speaker 1: experts with regards to two variants. But there's no link 285 00:18:27,840 --> 00:18:31,520 Speaker 1: in that study new to any difference in terms of 286 00:18:31,880 --> 00:18:34,320 Speaker 1: how the disease presents. They did look at it and 287 00:18:34,359 --> 00:18:38,720 Speaker 1: they're with no difference. So even though the virus itself 288 00:18:39,359 --> 00:18:43,440 Speaker 1: may have some unique different characteristics, they're irrelevant in terms 289 00:18:43,480 --> 00:18:46,879 Speaker 1: of the impact of humans exactly. Yes, they may be 290 00:18:46,920 --> 00:18:50,359 Speaker 1: irrelevant the way the humans seeds it. The study our 291 00:18:50,440 --> 00:18:54,880 Speaker 1: sighting was by Professor Leland Juan and colleagues from Jujern 292 00:18:55,040 --> 00:18:58,680 Speaker 1: University in China, where they're suggesting it is mutated into 293 00:18:59,160 --> 00:19:02,320 Speaker 1: thirty different variance, which would surprise me a little bit. 294 00:19:02,480 --> 00:19:04,920 Speaker 1: In the period when you were Edinburgh warring about HIV eight, 295 00:19:05,640 --> 00:19:08,680 Speaker 1: I repented the Center for Disease Control and Congress. When 296 00:19:08,720 --> 00:19:11,760 Speaker 1: I would go regularly, I really got to know Frauchi 297 00:19:11,880 --> 00:19:15,800 Speaker 1: back then, and I was very concerned about because back then, 298 00:19:15,800 --> 00:19:19,000 Speaker 1: of course, there was a devastating disease for which we 299 00:19:19,040 --> 00:19:23,480 Speaker 1: had no good therapist I worried about its potential for evolving, 300 00:19:23,880 --> 00:19:27,000 Speaker 1: But the people at CDC were pretty confident that that 301 00:19:27,119 --> 00:19:30,960 Speaker 1: particular problem is so complex that it's pretty well locked 302 00:19:31,000 --> 00:19:34,119 Speaker 1: into being what it is that doesn't have a fluidity 303 00:19:34,680 --> 00:19:37,960 Speaker 1: that it can evolve into. The nightmare is when you 304 00:19:38,040 --> 00:19:42,360 Speaker 1: finally figure out a particular virus and then you turn 305 00:19:42,440 --> 00:19:45,840 Speaker 1: around and the virus shifts in a way that we 306 00:19:45,920 --> 00:19:48,800 Speaker 1: can't deal with. I think that's when it becomes a 307 00:19:48,880 --> 00:19:55,040 Speaker 1: real challenge. There are specific vaccines being developed in Boston. 308 00:19:55,680 --> 00:20:00,560 Speaker 1: Vulting Therapeutics is partnering with match General and they have 309 00:20:00,720 --> 00:20:04,240 Speaker 1: hope that they're going to enter animal testing. These kind 310 00:20:04,240 --> 00:20:08,439 Speaker 1: of partnerships where you have the drive and the energy 311 00:20:08,480 --> 00:20:10,879 Speaker 1: of the private sector, but you also have the knowledge 312 00:20:11,160 --> 00:20:14,640 Speaker 1: and the capabilities of the public sector collaborating the other. 313 00:20:15,000 --> 00:20:17,080 Speaker 1: They're really sort of the model of the future, aren't they? 314 00:20:17,119 --> 00:20:22,399 Speaker 1: For complex issues? Nude it's so important this point. Academics 315 00:20:22,840 --> 00:20:27,199 Speaker 1: don't make medical products. Companies do. In the partnership we 316 00:20:27,280 --> 00:20:31,480 Speaker 1: have around building a COVID nineteen vaccine, which the Center 317 00:20:31,560 --> 00:20:35,000 Speaker 1: that I direct Vaccine Imminent Centers developing, we're calling it 318 00:20:35,080 --> 00:20:40,360 Speaker 1: halo vax. It established a partnership with a company a 319 00:20:40,400 --> 00:20:43,879 Speaker 1: few weeks before the pandemic, and that was purely by chance. 320 00:20:43,880 --> 00:20:47,720 Speaker 1: And then two weeks after the pandemic started, the company 321 00:20:47,840 --> 00:20:51,800 Speaker 1: moved to raise money to get our vaccine, halo vax. 322 00:20:51,880 --> 00:20:55,359 Speaker 1: This company is called Vultron Therapeutics and collaboration with Half 323 00:20:55,400 --> 00:20:59,119 Speaker 1: Therapeutics raise the money to get our vaccine built and 324 00:20:59,240 --> 00:21:01,960 Speaker 1: tested an animals, and that was all in the space 325 00:21:02,000 --> 00:21:05,880 Speaker 1: of two to four weeks effectively well, and I think 326 00:21:05,880 --> 00:21:08,080 Speaker 1: the biggest thing that happens, I'll just tell you, is 327 00:21:08,119 --> 00:21:11,879 Speaker 1: that academics build things, and they build them for several years, 328 00:21:11,880 --> 00:21:14,360 Speaker 1: and then they want to partner with industry, and then 329 00:21:14,400 --> 00:21:16,800 Speaker 1: there are all sorts of groundhog day issues of having 330 00:21:16,840 --> 00:21:19,040 Speaker 1: to go back to the drawing board and did at work. 331 00:21:19,720 --> 00:21:22,199 Speaker 1: What we've learned at our center is to partner with 332 00:21:22,280 --> 00:21:26,400 Speaker 1: industry directly and accelerate that process by which a product 333 00:21:26,520 --> 00:21:30,359 Speaker 1: is generated and tested in an industrial manner, which is 334 00:21:30,400 --> 00:21:33,560 Speaker 1: so different from testing something in an academic manner. And 335 00:21:33,600 --> 00:21:36,480 Speaker 1: I think that could be one of the great kind 336 00:21:36,480 --> 00:21:40,119 Speaker 1: of readouts from this is that academia adapted to be 337 00:21:40,320 --> 00:21:44,560 Speaker 1: more industry like or more friendly to partnering with industry 338 00:21:44,560 --> 00:21:47,440 Speaker 1: than ever before. Not that it hasn't been on that path, 339 00:21:47,720 --> 00:21:50,879 Speaker 1: but it's needed more than ever because of the urgency 340 00:21:51,440 --> 00:21:54,919 Speaker 1: of needing products now as opposed to in five years. 341 00:21:55,920 --> 00:22:01,400 Speaker 1: I've been very impressed by the scale of innovation, both 342 00:22:01,440 --> 00:22:05,520 Speaker 1: in therapies, in vaccines, and in testing. I mean, the 343 00:22:05,640 --> 00:22:08,359 Speaker 1: number of different players who come into the game and 344 00:22:08,480 --> 00:22:11,679 Speaker 1: the speed and intensity with which they're operating. I think 345 00:22:11,800 --> 00:22:14,560 Speaker 1: is a pretty good tribute to the way our system 346 00:22:14,600 --> 00:22:18,880 Speaker 1: operates and really rising to the challenge, and I suspect 347 00:22:18,960 --> 00:22:22,439 Speaker 1: by late summer our production capabilities will be such that 348 00:22:23,000 --> 00:22:25,760 Speaker 1: large parts of the Third world will be relying on 349 00:22:25,800 --> 00:22:29,520 Speaker 1: American capabilities to deal with all this. The other big 350 00:22:29,520 --> 00:22:34,160 Speaker 1: attribute is a free society in which all constructive ideas 351 00:22:34,160 --> 00:22:37,760 Speaker 1: are allowed to flourish in a scientific manner. And your 352 00:22:37,760 --> 00:22:40,959 Speaker 1: all power to our US system that allows that to 353 00:22:41,040 --> 00:22:44,280 Speaker 1: happen and to support for it. It's a key thing 354 00:22:44,400 --> 00:22:48,040 Speaker 1: for our survival to maintain that type of freedom of 355 00:22:48,080 --> 00:22:51,520 Speaker 1: thought and freedom of idea development and product development happens 356 00:22:51,560 --> 00:22:56,560 Speaker 1: in the US. This is about pandemic preparedness well into 357 00:22:56,560 --> 00:23:00,320 Speaker 1: the rest of this century and possibly beyond. But I 358 00:23:00,359 --> 00:23:02,760 Speaker 1: want to thank you. I think this has been very, 359 00:23:02,880 --> 00:23:05,800 Speaker 1: very helpful, and I think that our audience will find 360 00:23:05,800 --> 00:23:10,359 Speaker 1: it very educational and very informative. I think information is power, 361 00:23:10,440 --> 00:23:13,159 Speaker 1: and I really I'm grateful to have this opportunity to 362 00:23:13,200 --> 00:23:18,679 Speaker 1: speak to you about this issue. Thank you to my 363 00:23:18,760 --> 00:23:21,840 Speaker 1: guest doctor Mark Poznanski. You can read more about the 364 00:23:21,840 --> 00:23:25,080 Speaker 1: development of a vaccine for COVID nineteen on our show 365 00:23:25,160 --> 00:23:29,160 Speaker 1: page at newtsworld dot com. Newsworld is produced by Gingerish 366 00:23:29,160 --> 00:23:34,280 Speaker 1: three sixty and iHeartMedia. Our executive producer is Debbie Myers 367 00:23:34,560 --> 00:23:37,760 Speaker 1: and our producer is Lornsey Song. The artwork for the 368 00:23:37,760 --> 00:23:41,639 Speaker 1: show was created by Steve Peller Special thanks to the 369 00:23:41,640 --> 00:23:45,040 Speaker 1: team at Gingwich three sixty. Please email me with your 370 00:23:45,040 --> 00:23:48,919 Speaker 1: comments at newt at newtsworld dot com. If you've been 371 00:23:49,040 --> 00:23:52,159 Speaker 1: enjoying news World, I hope you'll go to Apple podcast 372 00:23:52,560 --> 00:23:55,240 Speaker 1: and both rate us with five stars and give us 373 00:23:55,320 --> 00:23:58,080 Speaker 1: a review so others can learn what it's all about. 374 00:24:00,760 --> 00:24:03,520 Speaker 1: On the next episode of news World. Our China and 375 00:24:03,600 --> 00:24:07,800 Speaker 1: COVID nineteen series continues with part three on April twenty first, 376 00:24:07,880 --> 00:24:12,440 Speaker 1: twenty twenty, Missouri Attorney General Eric Schmidt filed a lawsuit 377 00:24:12,480 --> 00:24:16,000 Speaker 1: against the Chinese government for COVID nineteen. He leads a 378 00:24:16,040 --> 00:24:20,320 Speaker 1: growing course of holding China accountable for the devastation the 379 00:24:20,400 --> 00:24:24,399 Speaker 1: virus has caused. I'm new English. This is news World