1 00:00:15,356 --> 00:00:21,396 Speaker 1: Pushkin from Pushkin Industries. This is Deep Background, the show 2 00:00:21,436 --> 00:00:25,556 Speaker 1: where we explore the stories behind the stories in the news. Today, 3 00:00:25,596 --> 00:00:29,676 Speaker 1: we're going to talk about how to prevent the coronavirus. Specifically, 4 00:00:29,716 --> 00:00:32,716 Speaker 1: we're going to talk about vaccines and other approaches that 5 00:00:32,876 --> 00:00:36,716 Speaker 1: might enable your body to fight off coronavirus before you 6 00:00:36,756 --> 00:00:40,556 Speaker 1: get sick with it in order to understand this complex 7 00:00:40,596 --> 00:00:44,596 Speaker 1: set of issues. We're joined by doctor Akiko Iwasaki. She 8 00:00:44,756 --> 00:00:48,356 Speaker 1: is a professor of immunobiology at the Yale University School 9 00:00:48,476 --> 00:00:51,676 Speaker 1: of Medicine. She and her lab are heard at work 10 00:00:51,756 --> 00:00:55,116 Speaker 1: trying to understand COVID nineteen, and she's also been an 11 00:00:55,116 --> 00:01:00,156 Speaker 1: extremely effective public explainer of the science behind vaccines in 12 00:01:00,276 --> 00:01:04,196 Speaker 1: this current moment. Akiko, thank you so much for joining me. 13 00:01:04,636 --> 00:01:08,956 Speaker 1: I want to start deep in the weaths of vaccines. 14 00:01:09,796 --> 00:01:12,796 Speaker 1: This is your field. You've been crucial in explaining it 15 00:01:12,876 --> 00:01:16,836 Speaker 1: also to the general public. What are the approaches that 16 00:01:16,916 --> 00:01:20,516 Speaker 1: are being tried right now? Of the many approaches so 17 00:01:20,716 --> 00:01:25,596 Speaker 1: currently for COVID nineteen, there are over ninety different vaccines 18 00:01:25,636 --> 00:01:30,396 Speaker 1: that are in testing, so unfortunately very difficult to predict 19 00:01:30,796 --> 00:01:35,316 Speaker 1: what type of vaccines are going to work for particular disease, 20 00:01:35,996 --> 00:01:39,156 Speaker 1: and so at this point we just need to try 21 00:01:39,556 --> 00:01:43,876 Speaker 1: everything we can, and so there are many many platforms 22 00:01:43,916 --> 00:01:47,276 Speaker 1: that are vaccine uses. Some of the things that you 23 00:01:47,396 --> 00:01:50,636 Speaker 1: hear a lot in the media are these nucleic acid 24 00:01:50,796 --> 00:01:55,916 Speaker 1: based vaccines such as RNA or DNA vaccines, and these 25 00:01:55,916 --> 00:01:59,876 Speaker 1: are very fast to make because once you know the 26 00:01:59,916 --> 00:02:03,796 Speaker 1: sequence of the anergen of interest, you can clone these 27 00:02:03,836 --> 00:02:08,996 Speaker 1: sequences or synthesize these sequences to make RNA or DNA, 28 00:02:09,356 --> 00:02:13,876 Speaker 1: and you can just inject that material into humans and 29 00:02:14,476 --> 00:02:17,916 Speaker 1: once they're incorporated into the cell, the cell can then 30 00:02:17,956 --> 00:02:22,276 Speaker 1: themselves make the energens, and so that is a quick 31 00:02:22,316 --> 00:02:27,756 Speaker 1: way of generating a vaccine, whereas other approaches take chimeric 32 00:02:28,196 --> 00:02:33,316 Speaker 1: vectored vaccines, which means that the sequence of interest is 33 00:02:33,356 --> 00:02:38,276 Speaker 1: inserted into another viral genome to make a trojan horse 34 00:02:38,396 --> 00:02:43,196 Speaker 1: like vaccine where that virus can then be amplified and 35 00:02:43,316 --> 00:02:46,756 Speaker 1: given to people. And that's what the Oxford team is 36 00:02:46,796 --> 00:02:51,076 Speaker 1: doing with the anovirus vaccine. And then there are traditional 37 00:02:51,156 --> 00:02:56,036 Speaker 1: forms of vaccines like inactivated virus. So there are many 38 00:02:56,076 --> 00:02:59,436 Speaker 1: many ways to approach vaccine. That was a really good 39 00:02:59,476 --> 00:03:03,396 Speaker 1: three part analysis of the different approaches. Maybe let's take 40 00:03:03,436 --> 00:03:05,276 Speaker 1: them in the order that you gave them to me, 41 00:03:05,356 --> 00:03:07,556 Speaker 1: which is sort of the order of how much attention 42 00:03:07,596 --> 00:03:10,676 Speaker 1: they're getting at the moment. So, with respect to the 43 00:03:10,996 --> 00:03:16,236 Speaker 1: RNA DNA vaccines, has anyone ever made a successful RNA 44 00:03:16,396 --> 00:03:19,756 Speaker 1: vaccine for a disease that's been tested and verified and 45 00:03:19,796 --> 00:03:24,196 Speaker 1: actually worked. So there has never been a RNA based 46 00:03:24,276 --> 00:03:28,316 Speaker 1: vaccines that's approved for use in humans yet, So this 47 00:03:28,436 --> 00:03:32,156 Speaker 1: would be the first of such kind if it becomes 48 00:03:32,196 --> 00:03:34,956 Speaker 1: a successful vaccine. So if I understand, the upside of 49 00:03:35,036 --> 00:03:37,716 Speaker 1: the RNA approach is that it's one of the vaccines 50 00:03:37,756 --> 00:03:39,316 Speaker 1: that if we were able to make it, we could 51 00:03:39,316 --> 00:03:41,796 Speaker 1: then make it at very large quantities, very very quickly, 52 00:03:41,876 --> 00:03:45,356 Speaker 1: which will be a challenge for other forms. The downside 53 00:03:45,476 --> 00:03:48,156 Speaker 1: is it might not work. And this technology has been 54 00:03:48,196 --> 00:03:50,396 Speaker 1: known for a while, I take it, so the fact 55 00:03:50,396 --> 00:03:54,076 Speaker 1: that it hasn't worked yet is not because nobody's been trying. Right. 56 00:03:54,236 --> 00:03:59,956 Speaker 1: The vaccine research is expanding and evolving at such a 57 00:04:00,076 --> 00:04:04,556 Speaker 1: rapid pace, So just because it hasn't been approved for 58 00:04:04,796 --> 00:04:09,236 Speaker 1: use before this disease doesn't mean it's not going to work. 59 00:04:09,596 --> 00:04:12,876 Speaker 1: And the mRNA platform, yes, you're right that it has 60 00:04:12,916 --> 00:04:17,476 Speaker 1: existed for a while, But for example, the delivery vehicle 61 00:04:17,556 --> 00:04:22,156 Speaker 1: for the RNA has been developed and made better. It 62 00:04:22,276 --> 00:04:24,716 Speaker 1: is much more stable and much more likely to be 63 00:04:24,756 --> 00:04:28,236 Speaker 1: taken up by cells to be expressed within the cell 64 00:04:28,596 --> 00:04:31,676 Speaker 1: than let's say, five years ago. So things are happening 65 00:04:32,196 --> 00:04:34,276 Speaker 1: very quickly. It sounds like you are actually a little 66 00:04:34,276 --> 00:04:37,876 Speaker 1: bit optimistic about the mRNA approach. Is that am I 67 00:04:37,876 --> 00:04:41,676 Speaker 1: reading you correctly that way? Vaccine is such an empirical 68 00:04:42,716 --> 00:04:47,676 Speaker 1: area of science that without testing in humans, we can 69 00:04:47,756 --> 00:04:50,876 Speaker 1: never really tell whether something is going to be promising 70 00:04:50,956 --> 00:04:54,916 Speaker 1: or not. But at this point, because of the severity 71 00:04:54,916 --> 00:04:57,876 Speaker 1: of the pandemic, you know, we just have to kind 72 00:04:57,876 --> 00:05:01,756 Speaker 1: of test many different platforms in the hope that one 73 00:05:01,796 --> 00:05:05,276 Speaker 1: of them will work. Let's turn then to the trojan 74 00:05:05,356 --> 00:05:10,516 Speaker 1: horse approach, which the Oxford team is using. They have 75 00:05:10,556 --> 00:05:12,756 Speaker 1: gotten attention in part because they've been saying that if 76 00:05:12,796 --> 00:05:16,116 Speaker 1: they get good results soon, they might be able to 77 00:05:16,156 --> 00:05:22,116 Speaker 1: actually have enough vaccine to use on medical professionals, even 78 00:05:22,156 --> 00:05:25,556 Speaker 1: by September, which is the kind of thought that makes 79 00:05:25,676 --> 00:05:29,236 Speaker 1: markets and people feel very optimistic. Say more about the 80 00:05:29,276 --> 00:05:33,556 Speaker 1: trojan horse approach and what its benefits are, and again 81 00:05:33,596 --> 00:05:35,596 Speaker 1: tell us whether that has worked so far because I 82 00:05:35,636 --> 00:05:38,396 Speaker 1: know that team started by working on malaria and that 83 00:05:38,436 --> 00:05:40,516 Speaker 1: hasn't totally worked out for them, and so they've then 84 00:05:40,556 --> 00:05:44,876 Speaker 1: shifted to working on COVID. Right. So the trogen horse 85 00:05:44,956 --> 00:05:49,996 Speaker 1: based vaccine is another area of vaccinology that has taken 86 00:05:50,036 --> 00:05:53,436 Speaker 1: off in the last decade or so because of our 87 00:05:53,476 --> 00:06:00,436 Speaker 1: ability to manipulate virus at every nucleic acid base resolution. 88 00:06:00,956 --> 00:06:05,316 Speaker 1: So these are approaches that are really being tried in 89 00:06:05,556 --> 00:06:09,356 Speaker 1: new war vaccines like HIV vaccines. A lot of the 90 00:06:09,396 --> 00:06:12,956 Speaker 1: trials that are done with HIV vaccines use this kind 91 00:06:12,956 --> 00:06:17,156 Speaker 1: of trogan horse approach of cloning in the energen of 92 00:06:17,236 --> 00:06:22,276 Speaker 1: interest into a viral vector that we know can infect 93 00:06:22,516 --> 00:06:25,636 Speaker 1: human cells but don't cause any disease. It's on their own. 94 00:06:26,196 --> 00:06:31,676 Speaker 1: And so this is another promising approach to vaccinology because 95 00:06:31,876 --> 00:06:34,036 Speaker 1: you know, we just know very well how the virus 96 00:06:34,636 --> 00:06:38,396 Speaker 1: enter our cell and can inject the material that we 97 00:06:38,476 --> 00:06:41,916 Speaker 1: want the cells to generate. And so, you know, while 98 00:06:42,036 --> 00:06:47,396 Speaker 1: the malaria and HIV vaccines have other problems and barriers 99 00:06:47,436 --> 00:06:51,236 Speaker 1: to overcome, the whope is that for the coronavirus, because 100 00:06:51,236 --> 00:06:53,876 Speaker 1: it doesn't mutate us as much and it doesn't have 101 00:06:53,916 --> 00:06:58,196 Speaker 1: many different life cycle stages as in malaria, that it 102 00:06:58,236 --> 00:07:02,276 Speaker 1: would be easier to implement such a vaccine. Have there 103 00:07:02,316 --> 00:07:06,436 Speaker 1: been successful viral vector vaccines trogan horse vaccines produced for 104 00:07:06,476 --> 00:07:09,396 Speaker 1: other drugs? I think they have, haven't there? Yes, hum 105 00:07:09,476 --> 00:07:13,636 Speaker 1: been for Ebola virus for example, there have been several 106 00:07:13,676 --> 00:07:16,636 Speaker 1: of these kind of trojan horse type of vaccines that 107 00:07:16,716 --> 00:07:20,996 Speaker 1: are pretty efficacious and safe. So I do have some 108 00:07:21,076 --> 00:07:24,436 Speaker 1: hope in this type of approach as well. Does anyone 109 00:07:24,436 --> 00:07:27,716 Speaker 1: try this approach for other Stars viruses? Yes? So the 110 00:07:27,796 --> 00:07:31,316 Speaker 1: Stars Covie one, the original Stars that you know, emerged 111 00:07:31,356 --> 00:07:34,636 Speaker 1: in two thousand and two. People have generated all kinds 112 00:07:34,636 --> 00:07:40,196 Speaker 1: of vaccine platforms. Unfortunately, when the epidemic subsided because of 113 00:07:40,236 --> 00:07:44,116 Speaker 1: public health control of that virus, there was no funding 114 00:07:44,676 --> 00:07:48,516 Speaker 1: or interest by sort of the public to pursue those 115 00:07:48,556 --> 00:07:52,276 Speaker 1: types of vaccines. So, unfortunately, we could have made a 116 00:07:52,316 --> 00:07:56,276 Speaker 1: lot more rapid progress this time around had we pursued 117 00:07:56,356 --> 00:08:00,076 Speaker 1: those original vaccine ideas for the Stars Covie one. And 118 00:08:00,116 --> 00:08:02,916 Speaker 1: this is a lesson to you know, the society that 119 00:08:02,956 --> 00:08:08,276 Speaker 1: we really need to invest in long term solutions to 120 00:08:08,356 --> 00:08:11,316 Speaker 1: come up with vaccines so that the next time there's 121 00:08:11,396 --> 00:08:14,876 Speaker 1: a pandemic of a new virus that we're much more 122 00:08:14,916 --> 00:08:19,476 Speaker 1: ready to deal with these emerging infections. That's sort of astonishing. 123 00:08:19,716 --> 00:08:23,076 Speaker 1: People were trying to produce vaccines for stars CoV one 124 00:08:23,636 --> 00:08:26,236 Speaker 1: and then they just stopped because there was no funding. 125 00:08:26,276 --> 00:08:30,516 Speaker 1: I mean, nobody thought, no foundation, no government, No one thought, well, 126 00:08:30,596 --> 00:08:33,476 Speaker 1: g this might be back or something similar might be back. 127 00:08:33,516 --> 00:08:35,876 Speaker 1: I mean that same sort of mind blowing in a 128 00:08:35,916 --> 00:08:39,516 Speaker 1: bad way. It is mind blowing to most of us 129 00:08:39,556 --> 00:08:43,756 Speaker 1: scientists working in these areas as well, and so, you know, 130 00:08:44,396 --> 00:08:47,916 Speaker 1: I really think that we need to take this unfortunately 131 00:08:47,916 --> 00:08:53,036 Speaker 1: an opportunity to really ensure more funding for basic research 132 00:08:53,116 --> 00:08:57,956 Speaker 1: and vaccine research, especially because of the change in the 133 00:08:57,996 --> 00:09:02,076 Speaker 1: world environment and ecology and so on that promotes the 134 00:09:02,076 --> 00:09:05,996 Speaker 1: emergence of new viruses that we're hearing about all the time, 135 00:09:06,036 --> 00:09:09,396 Speaker 1: like zeka virus and nibola and many other virus says 136 00:09:09,476 --> 00:09:14,356 Speaker 1: that we will be facing in the future, and we 137 00:09:14,436 --> 00:09:18,196 Speaker 1: can't just drop a vaccine trial or vaccine approach just 138 00:09:18,316 --> 00:09:22,076 Speaker 1: because something is contained for the time being. That brings 139 00:09:22,116 --> 00:09:25,436 Speaker 1: us to the traditional vaccines, the ones that we were 140 00:09:25,476 --> 00:09:29,516 Speaker 1: all taught about as kids in school, cowpox in order 141 00:09:29,556 --> 00:09:32,636 Speaker 1: to fight smallpox, or the polio vaccine in its classic form, 142 00:09:32,676 --> 00:09:34,956 Speaker 1: where you use a reduced or a weekend form of 143 00:09:34,996 --> 00:09:39,516 Speaker 1: the virus. What are the paths forward for COVID nineteen 144 00:09:39,956 --> 00:09:41,876 Speaker 1: with such a vaccine? Are there? Of the ninety that 145 00:09:41,916 --> 00:09:43,356 Speaker 1: are out there are a bunch of them trying to 146 00:09:43,436 --> 00:09:47,156 Speaker 1: use the traditional approach. Some of them are certainly trying 147 00:09:47,196 --> 00:09:50,636 Speaker 1: to use the traditional approach. You know. I teach immunology 148 00:09:50,756 --> 00:09:53,756 Speaker 1: to medical students every year, and one of the things 149 00:09:53,796 --> 00:09:56,676 Speaker 1: I talk about during vaccine lectures is that the live 150 00:09:56,716 --> 00:10:01,476 Speaker 1: attenuative vaccines are the most potent an effective vaccine because 151 00:10:01,756 --> 00:10:04,996 Speaker 1: it is the closest to the original infectious version of 152 00:10:04,996 --> 00:10:08,956 Speaker 1: that virus. And so even though it's a very traditional 153 00:10:09,196 --> 00:10:12,876 Speaker 1: vaccine approach that's been used for hundreds of years, I 154 00:10:12,916 --> 00:10:15,996 Speaker 1: think we need to, you know, not forget that those 155 00:10:16,036 --> 00:10:19,316 Speaker 1: are also approaches that we should pursue. Even though they're 156 00:10:19,316 --> 00:10:22,596 Speaker 1: not the cool latest technology approaches, they might work the best. 157 00:10:23,196 --> 00:10:25,956 Speaker 1: There's been a fair amount of attention to the theory 158 00:10:26,036 --> 00:10:31,676 Speaker 1: that one of the classic tuberculosis vaccines seems to provide, 159 00:10:31,756 --> 00:10:35,476 Speaker 1: at least in some studies, more general protections against things 160 00:10:35,476 --> 00:10:38,756 Speaker 1: that aren't TB and I understand that that is a 161 00:10:38,836 --> 00:10:43,196 Speaker 1: somewhat disputed view among immunobiologists. I wonder if you would 162 00:10:43,196 --> 00:10:45,836 Speaker 1: tell us what we ought to think about this theory 163 00:10:45,836 --> 00:10:48,076 Speaker 1: and whether it pulls water, and if so, whether this 164 00:10:48,156 --> 00:10:50,636 Speaker 1: is something worth pursuing, and if not, whether it's as 165 00:10:50,716 --> 00:10:56,596 Speaker 1: leading and dangerous. So that is the thinking that BCG vaccine, 166 00:10:57,156 --> 00:11:00,836 Speaker 1: which as you mentioned, Noah, that is traditionally, I mean 167 00:11:00,956 --> 00:11:04,076 Speaker 1: it is currently used actually in some countries still against 168 00:11:04,076 --> 00:11:08,916 Speaker 1: TB and there is actually an interesting statistical sort of 169 00:11:08,956 --> 00:11:13,436 Speaker 1: correlation between countries that still are using the BCG vaccine 170 00:11:13,916 --> 00:11:18,556 Speaker 1: to the rate of COVID nineteen and mortality. And so, 171 00:11:18,716 --> 00:11:22,116 Speaker 1: for instance, countries like Japan who are still using the 172 00:11:22,436 --> 00:11:26,596 Speaker 1: original BCG vaccine in children, they have very low rate 173 00:11:26,916 --> 00:11:29,956 Speaker 1: of infection as well as death compared to some other 174 00:11:29,956 --> 00:11:33,116 Speaker 1: countries like the US, which has stopped using the VCG 175 00:11:33,276 --> 00:11:37,636 Speaker 1: vaccine a while ago. And other experiments have led to 176 00:11:37,676 --> 00:11:42,356 Speaker 1: this idea that BCG vaccine gives a person a kind 177 00:11:42,356 --> 00:11:47,556 Speaker 1: of trained immunity, which means that our innate resistance against 178 00:11:47,636 --> 00:11:51,396 Speaker 1: these viruses are elevated as a result of receiving these 179 00:11:51,436 --> 00:11:56,516 Speaker 1: types of vaccines. And currently there are countries like Netherland 180 00:11:56,556 --> 00:12:02,116 Speaker 1: who have begun to immunize healthcare workers with BCG in 181 00:12:02,236 --> 00:12:06,676 Speaker 1: order to determine whether trained immunity is indeed elicited in 182 00:12:06,716 --> 00:12:12,436 Speaker 1: those volunteers and whether that would prevent against non TB 183 00:12:12,756 --> 00:12:17,596 Speaker 1: related diseases like viral infections. And there was even a 184 00:12:18,116 --> 00:12:24,356 Speaker 1: study done to demonstrate that BCG vaccination induced certain types 185 00:12:24,396 --> 00:12:28,836 Speaker 1: of innate immune resistance genes to be elevated in human volunteers. 186 00:12:29,556 --> 00:12:32,796 Speaker 1: So you know, right now it's unknown how long such 187 00:12:33,156 --> 00:12:38,036 Speaker 1: trained immunity lasts and how exactly that is working. It's 188 00:12:38,076 --> 00:12:41,676 Speaker 1: still under investigation. We'll be back in just a moment, 189 00:12:50,556 --> 00:12:52,156 Speaker 1: Like you go, I want to turn now to the 190 00:12:52,236 --> 00:12:59,196 Speaker 1: question of probabilities and time. These are huge challenges under 191 00:12:59,236 --> 00:13:03,836 Speaker 1: the intense economic and health pressures that were currently facing. 192 00:13:04,036 --> 00:13:07,276 Speaker 1: So let's start with the time question. Assuming that one 193 00:13:07,276 --> 00:13:11,236 Speaker 1: of these ninety vaccines or several start to be proven 194 00:13:11,276 --> 00:13:14,756 Speaker 1: to work, what sort of time frame will it take 195 00:13:15,276 --> 00:13:18,996 Speaker 1: to generate them, and what are the barriers to making 196 00:13:19,476 --> 00:13:23,756 Speaker 1: billions Because we're talking about billions of doses quickly, right, 197 00:13:24,316 --> 00:13:29,276 Speaker 1: so there are multiple barriers at each checkpoint. First, the 198 00:13:29,396 --> 00:13:33,836 Speaker 1: vaccine has to be not only effective but safe in people, 199 00:13:34,596 --> 00:13:38,356 Speaker 1: since the vaccine will be given to millions, if not billions, 200 00:13:38,356 --> 00:13:41,196 Speaker 1: of people, we need to be absolutely sure about the 201 00:13:41,236 --> 00:13:45,476 Speaker 1: safety of the vaccine itself. The second barrier is the 202 00:13:45,716 --> 00:13:51,916 Speaker 1: safety with regards to infection from Sarscovie two, and that 203 00:13:51,996 --> 00:13:54,836 Speaker 1: refers to this idea that there are some vaccines that 204 00:13:54,916 --> 00:13:59,276 Speaker 1: unfortunately enhance the disease as opposed to protect the person 205 00:13:59,556 --> 00:14:03,356 Speaker 1: against the disease. That has been seen with vaccines like 206 00:14:03,476 --> 00:14:06,956 Speaker 1: dengi virus vaccines, and so we really need to ensure 207 00:14:07,036 --> 00:14:10,076 Speaker 1: that not only is the vaccine itself, but is it 208 00:14:10,236 --> 00:14:13,596 Speaker 1: safe for people who are going to encounter the virus, 209 00:14:13,636 --> 00:14:17,556 Speaker 1: you know, following the vaccination. And so that safety and 210 00:14:17,636 --> 00:14:21,276 Speaker 1: efficacy issue is absolutely key in going forward with any 211 00:14:21,356 --> 00:14:25,236 Speaker 1: vaccine candidates. Let's say we find such a safe and 212 00:14:25,276 --> 00:14:30,436 Speaker 1: effective vaccine, then the challenge will be manufacturing and scale. 213 00:14:31,076 --> 00:14:34,676 Speaker 1: So we go from a couple hundred doses of vaccines 214 00:14:34,796 --> 00:14:38,596 Speaker 1: in phase one and two going into a large phase 215 00:14:38,636 --> 00:14:42,396 Speaker 1: three trial with tens of thousands of people, and then 216 00:14:42,436 --> 00:14:45,556 Speaker 1: after that, the efficacious and safe vaccine needs to be 217 00:14:45,596 --> 00:14:49,436 Speaker 1: generated in the you know, millions or millions if we 218 00:14:49,516 --> 00:14:52,276 Speaker 1: want to cover the entire world. And so that is 219 00:14:52,316 --> 00:14:57,996 Speaker 1: a huge challenge for manufacturing because imagine having to generate 220 00:14:58,196 --> 00:15:02,916 Speaker 1: you know, billion vials to contain the vaccines or even 221 00:15:02,956 --> 00:15:07,196 Speaker 1: the stoppers for the each vile needles that have to 222 00:15:07,236 --> 00:15:10,676 Speaker 1: be distributed. I mean, you can imagine the challenge in 223 00:15:10,756 --> 00:15:14,676 Speaker 1: just generating that kind of doses of not only the 224 00:15:14,756 --> 00:15:18,236 Speaker 1: vaccine but its containment as well as a needle, and 225 00:15:18,436 --> 00:15:22,076 Speaker 1: the healthcare workers that are needed to deliver those vaccines 226 00:15:22,116 --> 00:15:25,636 Speaker 1: to billions of people. So it's not as trivial just 227 00:15:25,756 --> 00:15:29,156 Speaker 1: having a vaccine that's safe and efficacious. It needs to 228 00:15:29,236 --> 00:15:34,516 Speaker 1: also be scalable to that level of distribution, because if 229 00:15:34,516 --> 00:15:38,196 Speaker 1: we don't have enough ultimately to cover a large portion 230 00:15:38,276 --> 00:15:42,316 Speaker 1: of the human population, then there'll be inequity in terms 231 00:15:42,396 --> 00:15:45,996 Speaker 1: of who's going to be protected going forward, and that's 232 00:15:45,996 --> 00:15:49,276 Speaker 1: something we need to be very careful about distribution and 233 00:15:49,796 --> 00:15:53,516 Speaker 1: equity in vaccination. No one's ever done anything like this 234 00:15:53,636 --> 00:15:55,996 Speaker 1: at this scale before, so it sounds from what you're 235 00:15:56,036 --> 00:15:58,996 Speaker 1: saying like there is a possible scenario where you could 236 00:15:59,036 --> 00:16:01,316 Speaker 1: win in the sense that you've got a vaccine but 237 00:16:01,476 --> 00:16:03,276 Speaker 1: lose in the sense that you didn't get the vaccine 238 00:16:03,316 --> 00:16:08,596 Speaker 1: two people fast enough to actually substantially affect the course 239 00:16:08,596 --> 00:16:12,356 Speaker 1: of the pandemic. Is that a plausible scenario that is 240 00:16:12,396 --> 00:16:16,196 Speaker 1: definitely a plausible scenario, and that's why we you know, 241 00:16:16,236 --> 00:16:19,876 Speaker 1: just because we have a vaccine, we cannot immediately relax 242 00:16:20,156 --> 00:16:23,756 Speaker 1: all the physical distancing measures that we're taking, because you know, 243 00:16:24,076 --> 00:16:26,956 Speaker 1: first of all, we need to wait till you have 244 00:16:27,076 --> 00:16:31,036 Speaker 1: enough vaccines to administer to the population, and we need 245 00:16:31,076 --> 00:16:35,796 Speaker 1: testing to see who's being exposed before and who has 246 00:16:35,796 --> 00:16:40,276 Speaker 1: a virus still replicating in their respiratory system in order 247 00:16:40,316 --> 00:16:43,636 Speaker 1: to know who can safely go back to society and 248 00:16:43,676 --> 00:16:46,876 Speaker 1: who needs to be quarantined. So testing and tracing and 249 00:16:47,596 --> 00:16:50,956 Speaker 1: containment is still going to be important even when the 250 00:16:51,036 --> 00:16:54,236 Speaker 1: vaccine is made. That brings me to a question that 251 00:16:54,276 --> 00:16:58,836 Speaker 1: I've really been troubled by in recent days. I feel 252 00:16:58,836 --> 00:17:03,036 Speaker 1: as though we've all heard public health officials and immunobiologists 253 00:17:03,076 --> 00:17:06,276 Speaker 1: and others vaccinologists saying to us, as soon as we 254 00:17:06,316 --> 00:17:10,076 Speaker 1: could have a vaccine is eighteen months, and then from 255 00:17:10,116 --> 00:17:12,196 Speaker 1: that point, I think we've been making, at least I've 256 00:17:12,196 --> 00:17:15,596 Speaker 1: been making the cognitive error of thinking that that means 257 00:17:15,716 --> 00:17:19,476 Speaker 1: that we will have a vaccine in eighteen months. Those 258 00:17:19,516 --> 00:17:21,996 Speaker 1: are not at all the same thing. The ideas best 259 00:17:22,036 --> 00:17:24,756 Speaker 1: case scenario is very different from what's actually going to happen. Right. 260 00:17:24,756 --> 00:17:26,596 Speaker 1: I invest in a company and someone tells me, best 261 00:17:26,596 --> 00:17:28,756 Speaker 1: case scenario, will become a billionaire, but the most likely 262 00:17:28,796 --> 00:17:32,996 Speaker 1: scenario is that I will not. I am worried about 263 00:17:32,996 --> 00:17:37,676 Speaker 1: our collective almost belief at this point that we're going 264 00:17:37,756 --> 00:17:39,436 Speaker 1: to get a vaccine. So I want to ask you 265 00:17:39,476 --> 00:17:42,196 Speaker 1: about probabilities. Do you have the sense that I have 266 00:17:42,276 --> 00:17:46,636 Speaker 1: these ninety approaches that the probability is relatively good that 267 00:17:46,796 --> 00:17:50,116 Speaker 1: one of them will work, or do you think that 268 00:17:50,156 --> 00:17:52,676 Speaker 1: we still can't say with great confidence that we're going 269 00:17:52,716 --> 00:17:57,276 Speaker 1: to have a success. Yeah, it's like predicting the stock market. 270 00:17:57,836 --> 00:18:00,796 Speaker 1: I just I won't be able to say, yes, there 271 00:18:00,836 --> 00:18:03,996 Speaker 1: will be a vaccine that's going to be successful. But 272 00:18:04,636 --> 00:18:07,716 Speaker 1: my prediction would be that there will be a handful 273 00:18:07,716 --> 00:18:10,276 Speaker 1: of vaccines out of the night indeed that's being tested 274 00:18:10,756 --> 00:18:14,596 Speaker 1: that will provide the level of protection we need to 275 00:18:15,076 --> 00:18:20,716 Speaker 1: reopen society. Let's not forget there are non vaccine related 276 00:18:20,836 --> 00:18:24,076 Speaker 1: interventions that we can take at the same time, such 277 00:18:24,116 --> 00:18:29,996 Speaker 1: as development of effective antivirals and monoclonal antibodies that can 278 00:18:30,076 --> 00:18:34,396 Speaker 1: be generated against the energens of the COVID nineteen virus. 279 00:18:34,436 --> 00:18:38,476 Speaker 1: And so it is a huge challenge to distribute vaccine 280 00:18:38,516 --> 00:18:41,396 Speaker 1: to everyone. But there are other measures that we can 281 00:18:41,436 --> 00:18:44,356 Speaker 1: take in the meantime, so we don't have to rely 282 00:18:44,476 --> 00:18:48,156 Speaker 1: only on vaccines to reopen society. Would you say more 283 00:18:48,156 --> 00:18:50,956 Speaker 1: about the monoclonal antibodies and how they work. Yeah, So 284 00:18:51,036 --> 00:18:56,876 Speaker 1: monoclonal antibodies, unlike vaccine, kind of sidesteps all the process 285 00:18:56,956 --> 00:18:59,916 Speaker 1: that the immune system has to generate in order to 286 00:19:00,556 --> 00:19:06,516 Speaker 1: make a antibody. So monocloe antibodies are great for blocking 287 00:19:06,836 --> 00:19:10,996 Speaker 1: viruses and other pathogens because you know, once you clone 288 00:19:10,996 --> 00:19:13,916 Speaker 1: these monoclone antibodies from let's say a person who has 289 00:19:13,956 --> 00:19:17,476 Speaker 1: already recovered from the disease, they are a sort of 290 00:19:17,516 --> 00:19:22,836 Speaker 1: precision tool that the immunologists can use to give someone 291 00:19:22,876 --> 00:19:26,876 Speaker 1: a passive immunity. So you don't necessarily have to generate 292 00:19:26,916 --> 00:19:30,916 Speaker 1: that anybody. You're just getting the antibody directly into your 293 00:19:31,276 --> 00:19:35,796 Speaker 1: bloodstream in order to protect yourself from further encounter with 294 00:19:35,876 --> 00:19:39,596 Speaker 1: the virus. And so you hear on TV lots of 295 00:19:39,596 --> 00:19:44,036 Speaker 1: commercials that use the monoclone antibody for let's say, psoriasis 296 00:19:44,156 --> 00:19:48,556 Speaker 1: or arthritis, and so many many companies now have a 297 00:19:48,756 --> 00:19:53,956 Speaker 1: great capacity and expertise to generate a very effective monoclone 298 00:19:53,996 --> 00:20:00,356 Speaker 1: antibody against variety of things, including viruses and bacteria. So 299 00:20:00,596 --> 00:20:05,076 Speaker 1: I think that leveraging the existing capacity as well as 300 00:20:05,196 --> 00:20:10,076 Speaker 1: expertise of the pharma and biotechnology, that we can quickly 301 00:20:10,156 --> 00:20:15,916 Speaker 1: generate and hopefully distribute safe and effective monoclonal antibodies. How 302 00:20:15,956 --> 00:20:17,596 Speaker 1: long do those last in the body? I mean, do 303 00:20:17,636 --> 00:20:20,076 Speaker 1: you need to take them relatively frequently? They're not a 304 00:20:20,116 --> 00:20:22,196 Speaker 1: vaccine in the sense that you haven't taught your body 305 00:20:22,196 --> 00:20:25,316 Speaker 1: to generate them yourself. If I understand correctly, this is 306 00:20:25,316 --> 00:20:27,316 Speaker 1: just you're giving the body the thing it needs to 307 00:20:27,356 --> 00:20:29,756 Speaker 1: do the fighting off, so they must wear out at 308 00:20:29,796 --> 00:20:33,956 Speaker 1: some point, that's right. So monoclonal antibodies don't last as 309 00:20:33,996 --> 00:20:37,676 Speaker 1: long as if you had generated the antibody yourself, but 310 00:20:37,876 --> 00:20:40,196 Speaker 1: you know it can last up to you know months, 311 00:20:40,476 --> 00:20:42,836 Speaker 1: you know, maybe up to six months or even longer 312 00:20:43,436 --> 00:20:48,396 Speaker 1: with these like highly engineered monoclonal antibodies. And not only that, 313 00:20:48,516 --> 00:20:53,836 Speaker 1: some monoclonal antibody have vaccine effect, meaning that once the 314 00:20:54,156 --> 00:20:57,836 Speaker 1: monoclona antibody binds to the surface of the virus, that 315 00:20:57,876 --> 00:21:01,636 Speaker 1: can sort of educate the immune response to generate more 316 00:21:01,796 --> 00:21:05,676 Speaker 1: These antibodies against the virus by sort of vaccinating a 317 00:21:05,756 --> 00:21:09,956 Speaker 1: person that way, so you know, the monoclona not only 318 00:21:10,276 --> 00:21:15,236 Speaker 1: confers transient protection, but potentially can vaccinate you against the 319 00:21:15,316 --> 00:21:19,716 Speaker 1: virus when the virus enters the body of that person. 320 00:21:20,116 --> 00:21:22,116 Speaker 1: Why do you think that we're getting a lot of 321 00:21:22,156 --> 00:21:27,876 Speaker 1: public attention to antiviral therapies and a lot of attention 322 00:21:27,916 --> 00:21:33,156 Speaker 1: to vaccines and comparatively much less public attention to the 323 00:21:33,196 --> 00:21:37,396 Speaker 1: monoclonal antibody approach. Is that just because it doesn't present 324 00:21:37,436 --> 00:21:40,796 Speaker 1: itself as permanent or I mean, tell me why, because 325 00:21:40,796 --> 00:21:43,236 Speaker 1: it seems, in a sense it has an advantage that 326 00:21:43,276 --> 00:21:45,996 Speaker 1: neither of the other things has, namely, you don't need 327 00:21:45,996 --> 00:21:49,796 Speaker 1: a new discovery to do it. Yes, that's correct. I'm 328 00:21:49,836 --> 00:21:54,516 Speaker 1: also puzzled as to why there isn't more attention paid 329 00:21:54,556 --> 00:21:58,436 Speaker 1: to the monoclonal antibody therapy. To me, it's one of 330 00:21:58,476 --> 00:22:03,556 Speaker 1: the most promising area to pursue. Maybe it's, as you say, 331 00:22:03,596 --> 00:22:07,516 Speaker 1: people assume that it's a transient protection or that it's 332 00:22:07,596 --> 00:22:13,556 Speaker 1: just the challenge of generating large doses is insurmountable. But 333 00:22:13,956 --> 00:22:16,116 Speaker 1: both of these things may not be true. If we 334 00:22:16,196 --> 00:22:19,156 Speaker 1: have a concerted effort to do this. It's your view 335 00:22:19,196 --> 00:22:21,996 Speaker 1: generally that the ramping up process that we're engaged in 336 00:22:22,076 --> 00:22:26,356 Speaker 1: now is sufficient. I mean, ninety different approaches sounds good 337 00:22:26,396 --> 00:22:29,756 Speaker 1: to the general listener. We know that this is costing 338 00:22:29,836 --> 00:22:31,956 Speaker 1: us so much money that there's really no limit to 339 00:22:31,956 --> 00:22:34,196 Speaker 1: how much money we could throw at the problem of 340 00:22:34,636 --> 00:22:37,276 Speaker 1: COVID nineteen and have it still be cost effective, assuming 341 00:22:37,316 --> 00:22:38,916 Speaker 1: any of these things that works, and even if it 342 00:22:38,956 --> 00:22:40,956 Speaker 1: doesn't work, it's still cost effective to be trying it. 343 00:22:41,396 --> 00:22:43,076 Speaker 1: Do you think we should be doing much more than 344 00:22:43,076 --> 00:22:46,436 Speaker 1: we're doing. Do you think our efforts are roughly appropriate? 345 00:22:46,556 --> 00:22:50,716 Speaker 1: What's your gut sense of whether we're throwing enough resources 346 00:22:50,796 --> 00:22:55,276 Speaker 1: at the disease right now? We are not throwing anywhere 347 00:22:55,276 --> 00:22:59,236 Speaker 1: near enough resources at the problem right now. For instance, 348 00:22:59,516 --> 00:23:03,516 Speaker 1: we still don't have enough testing throughout the country, and 349 00:23:03,596 --> 00:23:07,836 Speaker 1: that is key in trying to reopen society. We also 350 00:23:07,916 --> 00:23:13,436 Speaker 1: don't have enough resource as being allocated for research and vaccines. 351 00:23:13,876 --> 00:23:16,756 Speaker 1: For instance. You know my lab is working on immune 352 00:23:16,836 --> 00:23:20,436 Speaker 1: response to COVID nineteen, but you know there is no 353 00:23:20,556 --> 00:23:26,436 Speaker 1: centralized funding mechanism to rapidly support such effort, and the 354 00:23:26,676 --> 00:23:32,596 Speaker 1: NIH has announced several emergency funding mechanisms and I'm hoping 355 00:23:32,636 --> 00:23:35,676 Speaker 1: that some of these will come through, but I feel like, 356 00:23:36,196 --> 00:23:39,756 Speaker 1: as you say, the economic impact of this pandemic is 357 00:23:39,796 --> 00:23:43,996 Speaker 1: so large that no amount of you know, this sort 358 00:23:43,996 --> 00:23:46,716 Speaker 1: of ramping up of the resources, it's going to be 359 00:23:46,796 --> 00:23:49,876 Speaker 1: a waste, because if even one in a hundred of 360 00:23:49,876 --> 00:23:53,356 Speaker 1: these things work, then it's it's totally worth the investment. 361 00:23:53,956 --> 00:23:57,516 Speaker 1: So I am a little frustrated as to how little 362 00:23:57,636 --> 00:24:01,596 Speaker 1: resource has been poured to research as well as development 363 00:24:01,716 --> 00:24:04,676 Speaker 1: of drugs. Thank you so much for taking time out 364 00:24:04,676 --> 00:24:06,876 Speaker 1: of your super busy schedule of saving the world to 365 00:24:06,876 --> 00:24:08,756 Speaker 1: talk to me, and thank you for the great, great 366 00:24:08,756 --> 00:24:11,756 Speaker 1: cloud of your analysis as well. Thank you very much. 367 00:24:11,836 --> 00:24:16,156 Speaker 1: Though speaking to doctor Akiko Iwasaki was really eye opening 368 00:24:16,196 --> 00:24:20,796 Speaker 1: for me on several dimensions. She's extremely forthright about the 369 00:24:20,876 --> 00:24:25,156 Speaker 1: challenges and bottlenecks that face the process of producing vaccines 370 00:24:25,436 --> 00:24:28,356 Speaker 1: on any of the three approaches that she described, yet 371 00:24:28,356 --> 00:24:31,236 Speaker 1: at the same time she has an underlying optimism that 372 00:24:31,356 --> 00:24:35,716 Speaker 1: we will eventually make our way to a functioning vaccine. 373 00:24:36,236 --> 00:24:38,916 Speaker 1: What was also very striking to me is her emphasis 374 00:24:38,956 --> 00:24:43,796 Speaker 1: on monoclonal antibodies. The antibodies would help the body fight 375 00:24:43,876 --> 00:24:48,316 Speaker 1: off COVID nineteen and Although they don't confer a permanent immunity, 376 00:24:48,676 --> 00:24:51,876 Speaker 1: they would in the short run, potentially enable millions of 377 00:24:51,916 --> 00:24:55,916 Speaker 1: people to avoid getting the disease. The most significant difference 378 00:24:56,236 --> 00:25:00,716 Speaker 1: between the monoclonal antibodies and either the anti viral treatments 379 00:25:01,196 --> 00:25:04,556 Speaker 1: or alternatively, the vaccines is that they do not require 380 00:25:04,676 --> 00:25:09,036 Speaker 1: any new science. We will continue to follow the monoclonal 381 00:25:09,116 --> 00:25:12,916 Speaker 1: antibodies story and the vaccine story going forward, and we'll 382 00:25:12,956 --> 00:25:14,956 Speaker 1: try to figure out how it comes to be that 383 00:25:14,996 --> 00:25:17,396 Speaker 1: we haven't yet had the degree of emphasis on the 384 00:25:17,436 --> 00:25:21,196 Speaker 1: monoclonal antibodies the doctor Awasaki thinks we ought to have done. 385 00:25:21,876 --> 00:25:24,396 Speaker 1: Until the next time I speak to you, be careful, 386 00:25:24,796 --> 00:25:30,836 Speaker 1: be safe, and be well. Deep background is brought to 387 00:25:30,836 --> 00:25:34,196 Speaker 1: you by Pushkin Industries. Our producer is Lydia Jane Cott, 388 00:25:34,476 --> 00:25:38,116 Speaker 1: with research help from Zooie Wynn. Mastering is by Jason 389 00:25:38,156 --> 00:25:42,116 Speaker 1: Gambrel and Martine Gonzalez. Our showrunner is Sophie mckimmon. Our 390 00:25:42,196 --> 00:25:45,276 Speaker 1: theme music is composed by Luis GERA special thanks to 391 00:25:45,316 --> 00:25:48,916 Speaker 1: the Pushkin Brass Malcolm Gladwell, Jacob Weissberg, and Mia Lobel. 392 00:25:49,316 --> 00:25:52,196 Speaker 1: I'm Noah Feldman. I also write a regular column for 393 00:25:52,236 --> 00:25:55,236 Speaker 1: Bloomberg Opinion, which you can find at bloomberg dot com 394 00:25:55,276 --> 00:25:59,556 Speaker 1: slash Feldman. To discover Bloomberg's original slate of podcasts, go 395 00:25:59,676 --> 00:26:03,356 Speaker 1: to Bloomberg dot com slash Podcasts. You can follow me 396 00:26:03,396 --> 00:26:07,356 Speaker 1: on Twitter at Noah R. Feldman. This is deep background