1 00:00:02,640 --> 00:00:05,840 Speaker 1: I'm Tt and I'm Zachiah, and from Spotify. This is 2 00:00:05,880 --> 00:00:34,199 Speaker 1: Dope Labs. Welcome to Dope Labs, a weekly podcast that 3 00:00:34,280 --> 00:00:37,959 Speaker 1: mixes hardcore science, pop culture, and a healthy dose of friendship. 4 00:00:38,040 --> 00:00:40,760 Speaker 1: This week, we're continuing our two part series on HIV. 5 00:00:40,960 --> 00:00:42,680 Speaker 1: There's just so much to cover we couldn't fit it 6 00:00:42,680 --> 00:00:45,600 Speaker 1: all into one episode. Yes, and last week we really 7 00:00:45,680 --> 00:00:48,519 Speaker 1: dug deep into the science behind HIV and the history 8 00:00:48,560 --> 00:00:52,000 Speaker 1: of HIV vaccine development. We talked about the structure of HIV, 9 00:00:52,159 --> 00:00:54,800 Speaker 1: remember the glaco proteins, and how it infects the body. 10 00:00:55,000 --> 00:00:57,800 Speaker 1: We also talked about how an HIV vaccine could work 11 00:00:58,040 --> 00:01:02,040 Speaker 1: and why developing an HIV vaccine is so difficult to achieve. 12 00:01:02,200 --> 00:01:04,200 Speaker 1: So this week we're going to shift from the science 13 00:01:04,280 --> 00:01:06,800 Speaker 1: to the people. Because we know science doesn't happen in 14 00:01:06,800 --> 00:01:09,280 Speaker 1: a vacuum. Our goal is to take what we learned 15 00:01:09,280 --> 00:01:13,399 Speaker 1: in part one and overlay some cultural context. Sound good, 16 00:01:13,880 --> 00:01:27,200 Speaker 1: Let's get into the recitation, all right, So what do 17 00:01:27,280 --> 00:01:30,280 Speaker 1: we know. Let's unpack the thing that we always say, 18 00:01:30,280 --> 00:01:32,680 Speaker 1: which is that science doesn't happen in a vacuum. There 19 00:01:32,680 --> 00:01:35,200 Speaker 1: are factors that determine whether or not something is science 20 00:01:35,240 --> 00:01:38,840 Speaker 1: worthy or research worthy, and you have to consider what's 21 00:01:38,880 --> 00:01:41,840 Speaker 1: the climate, what's the political or social climate. Is it 22 00:01:41,920 --> 00:01:44,240 Speaker 1: even seen as urgent? It also depends on if a 23 00:01:44,280 --> 00:01:47,160 Speaker 1: certain demographic is affected by certain diseases. 24 00:01:47,480 --> 00:01:47,760 Speaker 2: Right. 25 00:01:48,000 --> 00:01:52,280 Speaker 1: Also beyond just who's affected, is there stigma around even 26 00:01:52,360 --> 00:01:53,640 Speaker 1: working on these things? 27 00:01:53,960 --> 00:01:55,360 Speaker 2: Is there any type of health risk? 28 00:01:55,400 --> 00:01:58,560 Speaker 1: What's understood or not understood at the time where we're 29 00:01:58,560 --> 00:02:02,160 Speaker 1: trying to make discovery, all right? And there's also scientific 30 00:02:02,160 --> 00:02:04,600 Speaker 1: communication that is a branch off of the science. So 31 00:02:04,640 --> 00:02:06,680 Speaker 1: it's when the science is being done, when the research 32 00:02:06,720 --> 00:02:10,440 Speaker 1: and development is being done, how it's communicated to the population, 33 00:02:10,600 --> 00:02:11,079 Speaker 1: if at all. 34 00:02:11,280 --> 00:02:11,679 Speaker 2: Mm hmm. 35 00:02:11,919 --> 00:02:14,600 Speaker 1: That's a very good point. So these are all really vague, 36 00:02:14,639 --> 00:02:16,280 Speaker 1: and I think that takes us right into what we 37 00:02:16,360 --> 00:02:19,919 Speaker 1: want to know. We want to know the specifics around this. Yeah, 38 00:02:19,960 --> 00:02:23,000 Speaker 1: which communities are affected the most by HIV and has 39 00:02:23,040 --> 00:02:27,720 Speaker 1: it changed over time? And how has that affected vaccine development? 40 00:02:27,760 --> 00:02:28,240 Speaker 2: Who were the. 41 00:02:28,200 --> 00:02:31,200 Speaker 1: Decision makers, what was the initial guidance that affected the 42 00:02:31,200 --> 00:02:36,840 Speaker 1: scientific response to HIV diagnosis, prevention, public health interventions, treatments, medicine, 43 00:02:36,840 --> 00:02:39,280 Speaker 1: and eventually vaccine development. And then a question that I 44 00:02:39,320 --> 00:02:42,680 Speaker 1: have is if and when the vaccine does become available 45 00:02:43,080 --> 00:02:46,639 Speaker 1: What is the strategy moving forward for the scientists and 46 00:02:46,680 --> 00:02:49,280 Speaker 1: the people in the medical field that will be administering 47 00:02:49,320 --> 00:02:52,440 Speaker 1: these vaccines. We've already seen what happened with COVID. What's 48 00:02:52,480 --> 00:02:54,440 Speaker 1: the game plan for the HIV vaccine. 49 00:02:54,600 --> 00:02:55,959 Speaker 2: Let's jump into the dissection. 50 00:03:07,880 --> 00:03:11,160 Speaker 1: You all know Christine doctor daniels by now. Christine recently 51 00:03:11,160 --> 00:03:13,720 Speaker 1: finished her postdoc at Duke University, where she worked on 52 00:03:13,760 --> 00:03:17,280 Speaker 1: developing and testing new or novel vaccine candidates. One of 53 00:03:17,320 --> 00:03:19,400 Speaker 1: the reasons we really wanted to talk to Christine for 54 00:03:19,440 --> 00:03:23,040 Speaker 1: this series is because of her unique background. She's not 55 00:03:23,200 --> 00:03:25,960 Speaker 1: just focused on the biology of a vaccine. My background 56 00:03:26,000 --> 00:03:28,919 Speaker 1: from undergrad is actually a medical anthropology. I'm always interested 57 00:03:28,919 --> 00:03:31,800 Speaker 1: in how the cultural lens impacts the way people experience 58 00:03:31,840 --> 00:03:34,640 Speaker 1: and treat disease. If we really want to understand the 59 00:03:34,680 --> 00:03:38,240 Speaker 1: story of the HIV vaccine from all angles, we need 60 00:03:38,280 --> 00:03:41,600 Speaker 1: to understand not just the science but also the culture 61 00:03:41,680 --> 00:03:42,440 Speaker 1: around HIV. 62 00:03:42,800 --> 00:03:43,600 Speaker 3: So let's dive in. 63 00:03:43,920 --> 00:03:45,960 Speaker 2: So we're going to start with a little bit of history. 64 00:03:46,160 --> 00:03:48,000 Speaker 1: In part one, we talked about a couple of different 65 00:03:48,080 --> 00:03:51,320 Speaker 1: vaccine trials that show various levels of success. There was 66 00:03:51,320 --> 00:03:54,040 Speaker 1: the first large scale Phase three clinical trial of VAX 67 00:03:54,200 --> 00:03:57,720 Speaker 1: zero zero four in nineteen ninety eight, but that ultimately failed. 68 00:03:58,200 --> 00:04:00,240 Speaker 1: And then fast forward to two thousand and three. Read 69 00:04:00,320 --> 00:04:02,680 Speaker 1: the RV one four to four trial was the first 70 00:04:02,680 --> 00:04:06,160 Speaker 1: clinical trial with some proven efficacy, but it was only 71 00:04:06,240 --> 00:04:09,160 Speaker 1: around about thirty percent, which isn't anywhere near enough to 72 00:04:09,160 --> 00:04:11,640 Speaker 1: get approval. But I mean, when you think about it, 73 00:04:11,800 --> 00:04:15,280 Speaker 1: nineteen ninety eight, two thousand and three, isn't that twenty 74 00:04:15,360 --> 00:04:17,520 Speaker 1: years after HIV was first discovered. 75 00:04:17,560 --> 00:04:21,120 Speaker 4: If we think about historically HIV it's origin, people started 76 00:04:21,160 --> 00:04:23,440 Speaker 4: realizing that they were infected around the seventies, but we 77 00:04:23,440 --> 00:04:26,560 Speaker 4: didn't see a big push towards trying to develop treatments 78 00:04:26,600 --> 00:04:29,159 Speaker 4: for it until late eighties early nineties. 79 00:04:29,480 --> 00:04:32,359 Speaker 1: A's was first diagnosed in nineteen eighty one. The virus 80 00:04:32,600 --> 00:04:35,600 Speaker 1: HIV was first isolated and confirmed to be the cause 81 00:04:35,640 --> 00:04:39,240 Speaker 1: of AIDS in nineteen eighty three. So, yeah, nineteen eighty 82 00:04:39,240 --> 00:04:41,239 Speaker 1: three to two thousand and three, that's a big gap. 83 00:04:41,480 --> 00:04:44,360 Speaker 1: To do these numbers justice, we really have to paint 84 00:04:44,360 --> 00:04:47,839 Speaker 1: the picture of what nineteen eighty one looked like. Yeah, 85 00:04:48,080 --> 00:04:51,800 Speaker 1: so just picture it. It's nineteen eighty one. The number 86 00:04:51,800 --> 00:04:54,840 Speaker 1: one song from the year is Betty Davis Eyes by 87 00:04:54,920 --> 00:04:58,000 Speaker 1: Kim Carnes, I don't know that song, but the number 88 00:04:58,040 --> 00:05:01,599 Speaker 1: two song is Endless Love by Diana Ross and lyon 89 00:05:01,680 --> 00:05:05,039 Speaker 1: On Richie which we know and Lady by Kenny Rodgers. 90 00:05:05,520 --> 00:05:07,839 Speaker 3: And then with movies, the top movies. 91 00:05:07,480 --> 00:05:10,120 Speaker 1: In nineteen eighty one were Indiana Jones, Raiders of the 92 00:05:10,160 --> 00:05:12,960 Speaker 1: Lost Arc, one of Our Phaves, Superman two, so that 93 00:05:13,160 --> 00:05:16,760 Speaker 1: is with Christopher Reeves, and then nine to five with 94 00:05:17,279 --> 00:05:20,640 Speaker 1: The Woman We Love Dolly Parton our Hero. And you know, 95 00:05:20,960 --> 00:05:23,360 Speaker 1: even when you think about what did the technology look 96 00:05:23,400 --> 00:05:26,240 Speaker 1: like in Superman two, right, we didn't have all these 97 00:05:26,279 --> 00:05:28,359 Speaker 1: advances in technology that make it hard for us to 98 00:05:28,400 --> 00:05:31,400 Speaker 1: think back to what healthcare workers and doctors had in 99 00:05:31,400 --> 00:05:34,920 Speaker 1: the nineteen eighties. Just for some additional perspective, gloves were 100 00:05:35,000 --> 00:05:37,440 Speaker 1: used to protect doctor's hands back in the day, so 101 00:05:37,440 --> 00:05:40,560 Speaker 1: people were using gloves in surgery, but not in other places. 102 00:05:40,600 --> 00:05:42,640 Speaker 1: So not if you were getting blood drawn, not if 103 00:05:42,640 --> 00:05:45,520 Speaker 1: you had like a little outpatient procedure, No gloves just 104 00:05:45,520 --> 00:05:47,880 Speaker 1: out here. And when people were using gloves, it was 105 00:05:47,920 --> 00:05:50,719 Speaker 1: often thought to protect doctor's hands at the onset of 106 00:05:50,800 --> 00:05:53,040 Speaker 1: glove use. But then later on in the nineteen eighties, 107 00:05:53,120 --> 00:05:55,960 Speaker 1: with aids becoming more prevalent, people started using gloves more, 108 00:05:56,360 --> 00:05:59,920 Speaker 1: just as like universal precautions for healthcare workers everywhere. Glove 109 00:06:00,160 --> 00:06:04,160 Speaker 1: didn't become required by OSHA, which sets your occupational safety standards, 110 00:06:04,480 --> 00:06:07,400 Speaker 1: until nineteen ninety two, and that was to protect workers 111 00:06:07,440 --> 00:06:09,840 Speaker 1: who came in contact with body fluids. So you can 112 00:06:09,880 --> 00:06:12,120 Speaker 1: imagine people didn't know what was going on. That's less 113 00:06:12,120 --> 00:06:14,240 Speaker 1: than thirty years ago. Could you imagine a doctor coming 114 00:06:14,279 --> 00:06:16,839 Speaker 1: towards you and being like, hey, let's take a look 115 00:06:16,839 --> 00:06:19,320 Speaker 1: in that eyeball and touching your eye. 116 00:06:19,440 --> 00:06:22,720 Speaker 2: No, just fingerprint to sclera. I don't think so. 117 00:06:22,800 --> 00:06:33,479 Speaker 1: Thank God for everyone, No way. In nineteen eighty one, 118 00:06:33,760 --> 00:06:36,920 Speaker 1: the population in the US who tested positive for HIV 119 00:06:37,200 --> 00:06:40,720 Speaker 1: was estimated to be ninety three percent male and fifty 120 00:06:40,760 --> 00:06:44,120 Speaker 1: six percent white. Sixty three percent of positive cases were 121 00:06:44,160 --> 00:06:47,560 Speaker 1: transmitted via male to mail sexual contact, and twenty five 122 00:06:47,600 --> 00:06:51,320 Speaker 1: percent from intravenous drug use. During this time, the stigma 123 00:06:51,360 --> 00:06:54,599 Speaker 1: and discrimination against those most effective, gay people and people 124 00:06:54,640 --> 00:06:58,000 Speaker 1: who injected drugs was staggering, and so there wasn't a 125 00:06:58,000 --> 00:07:01,960 Speaker 1: big political push to try to fund or direct research 126 00:07:02,000 --> 00:07:04,919 Speaker 1: efforts towards addressing this problem because it wasn't affecting the 127 00:07:04,920 --> 00:07:08,840 Speaker 1: dominant population. In fact, many people in positions of power 128 00:07:09,000 --> 00:07:12,160 Speaker 1: allowed their own personal beliefs to affect their actions and 129 00:07:12,280 --> 00:07:18,000 Speaker 1: responses to the HIV crisis, not only politicians, but insurance companies, researchers, 130 00:07:18,120 --> 00:07:22,200 Speaker 1: drug manufacturers, doctors, and support systems like folks, family and 131 00:07:22,240 --> 00:07:26,480 Speaker 1: friends who believe that the specific behaviors associated with contracting 132 00:07:26,680 --> 00:07:29,600 Speaker 1: HIV were inherently wrong, and because they thought they were 133 00:07:29,640 --> 00:07:33,239 Speaker 1: inherently wrong, they then considered these groups undeserving of help 134 00:07:33,480 --> 00:07:36,480 Speaker 1: or of maximum effort to control the spread of HIV. 135 00:07:36,760 --> 00:07:39,560 Speaker 4: It's a very controversial issue. A lot of our policy 136 00:07:39,600 --> 00:07:41,960 Speaker 4: is influenced by religious beliefs. A lot of people use 137 00:07:42,040 --> 00:07:45,320 Speaker 4: religion as an excuse to discriminate against certain people who 138 00:07:45,320 --> 00:07:48,080 Speaker 4: have behaviors or lifestyles that they don't agree with. People 139 00:07:48,080 --> 00:07:50,960 Speaker 4: are you know, I'm a Christian, so I can't support 140 00:07:51,040 --> 00:07:53,720 Speaker 4: gay marriage or say anything, And that's not in the Bible. 141 00:07:53,760 --> 00:07:56,560 Speaker 4: You're using the text and interpreting a certain way to 142 00:07:56,560 --> 00:07:58,680 Speaker 4: push a certain agenda. And so it's not religion that 143 00:07:58,720 --> 00:08:00,960 Speaker 4: it is dictating that these groups should be ostracized. 144 00:08:01,040 --> 00:08:03,080 Speaker 5: It's your interpretation of that. 145 00:08:03,360 --> 00:08:07,320 Speaker 1: And your interpretation is subjective. That's a choice that people make, 146 00:08:07,720 --> 00:08:11,640 Speaker 1: but also everyone doesn't subscribe to the same religious beliefs, 147 00:08:11,840 --> 00:08:14,760 Speaker 1: So who's to say that one section of the population 148 00:08:14,840 --> 00:08:18,000 Speaker 1: gets to make the decision for everyone else? And objectively, 149 00:08:18,120 --> 00:08:21,240 Speaker 1: these are human beings. We all deserve access to healthcare, 150 00:08:21,280 --> 00:08:25,000 Speaker 1: secure housing, you know, the basics. The media also failed 151 00:08:25,040 --> 00:08:28,239 Speaker 1: to cover the epidemic properly. During the first three years 152 00:08:28,240 --> 00:08:31,400 Speaker 1: of the HIV epidemic, the New York Times only ran 153 00:08:31,680 --> 00:08:34,160 Speaker 1: three stories on it, and none of them made the 154 00:08:34,160 --> 00:08:37,520 Speaker 1: front page. And geography was also an issue that impeded 155 00:08:37,520 --> 00:08:41,760 Speaker 1: widespread education, prevention, and treatment of HIV and AIDS. At 156 00:08:41,760 --> 00:08:44,560 Speaker 1: the outset, most cases were being reported in New York 157 00:08:44,559 --> 00:08:47,760 Speaker 1: and California, so lawmakers in other states were reluctant to 158 00:08:47,840 --> 00:08:50,960 Speaker 1: use funds on HIV that could have been spent otherwise 159 00:08:51,000 --> 00:08:53,320 Speaker 1: on roads, education or infrastructure. 160 00:08:53,440 --> 00:08:54,800 Speaker 3: It sounds so much like COVID. 161 00:08:54,880 --> 00:08:58,000 Speaker 1: This is that vacuum that don't exist, all these different 162 00:08:58,080 --> 00:09:03,240 Speaker 1: things that affect how we digest the information and how 163 00:09:03,280 --> 00:09:05,600 Speaker 1: we interact with all of these new things. I mean, 164 00:09:05,640 --> 00:09:08,880 Speaker 1: we just went through media, geography, religious believe I mean, 165 00:09:08,880 --> 00:09:12,000 Speaker 1: think about the outset of COVID, right, some people weren't 166 00:09:12,000 --> 00:09:13,600 Speaker 1: covering it or they were saying, oh, this is only 167 00:09:13,640 --> 00:09:15,400 Speaker 1: in China, it doesn't matter for the United States. And 168 00:09:15,440 --> 00:09:17,559 Speaker 1: then even when it was in the United States, when 169 00:09:17,600 --> 00:09:20,320 Speaker 1: it was affecting New York and California, again, our most 170 00:09:20,360 --> 00:09:24,400 Speaker 1: densely populated areas in other states weren't doing the things 171 00:09:24,400 --> 00:09:27,920 Speaker 1: that they needed to do, like implementing mask mandates or 172 00:09:28,240 --> 00:09:31,840 Speaker 1: ramping up testing, and here we are seeing the exact 173 00:09:31,840 --> 00:09:34,120 Speaker 1: same thing because they want to spend those dollars elsewhere. 174 00:09:34,360 --> 00:09:35,920 Speaker 1: This is why it was so important for us to 175 00:09:35,920 --> 00:09:39,720 Speaker 1: start out with the history of this virus, because you 176 00:09:39,760 --> 00:09:41,320 Speaker 1: don't know where you're going if you don't know where 177 00:09:41,320 --> 00:09:44,520 Speaker 1: you came from, and history often repeats itself, and so 178 00:09:44,880 --> 00:09:48,320 Speaker 1: knowing the history helps us better prepare for things like 179 00:09:48,360 --> 00:09:50,680 Speaker 1: this in the future. It should have helped us with COVID, 180 00:09:51,000 --> 00:09:54,760 Speaker 1: but it didn't because we have chosen to stay blissfully 181 00:09:54,840 --> 00:09:58,240 Speaker 1: unaware of some of these outside factors that are also 182 00:09:58,440 --> 00:09:59,120 Speaker 1: playing a role. 183 00:09:59,280 --> 00:10:01,760 Speaker 4: It took a lot of time for people to adopt 184 00:10:01,760 --> 00:10:06,040 Speaker 4: that more inclusive mindset, and so that's stalled the focus 185 00:10:06,120 --> 00:10:09,760 Speaker 4: on HIV vaccine development and treatment development, and so we 186 00:10:09,760 --> 00:10:12,319 Speaker 4: didn't start to see that arise until people who didn't 187 00:10:12,320 --> 00:10:14,520 Speaker 4: come from those stigmatized groups started to be infected at 188 00:10:14,600 --> 00:10:18,560 Speaker 4: higher rates. Once we started seeing heterosexual white men or 189 00:10:18,600 --> 00:10:21,880 Speaker 4: heterosexual women and other people that are part of the 190 00:10:21,920 --> 00:10:24,400 Speaker 4: dominant culture become affected, then it became a problem. Once 191 00:10:24,440 --> 00:10:27,760 Speaker 4: we started seeing celebrities become affected and high profile people 192 00:10:28,040 --> 00:10:30,880 Speaker 4: start dying, then it becomes a problem that the average 193 00:10:30,880 --> 00:10:34,640 Speaker 4: person cares about. Today, approximately one point two million people 194 00:10:34,679 --> 00:10:37,560 Speaker 4: have HIV. That's a little under half of one percent 195 00:10:37,679 --> 00:10:39,280 Speaker 4: of the US population. 196 00:10:39,000 --> 00:10:43,360 Speaker 1: And that percentage is disproportionately higher among marginalized groups, including 197 00:10:43,440 --> 00:10:46,240 Speaker 1: sex workers, trans people, and people of color. 198 00:10:46,440 --> 00:10:48,720 Speaker 2: But we also know that we have some blind spots. 199 00:10:48,760 --> 00:10:52,239 Speaker 1: I think it's important to know and understand that statistics 200 00:10:52,240 --> 00:10:55,840 Speaker 1: don't paint a full picture. Data is helpful to see 201 00:10:56,080 --> 00:11:00,120 Speaker 1: overall trends, but most data is incomplete. Some of these 202 00:11:00,160 --> 00:11:03,080 Speaker 1: statistics and the way that some of these numbers are 203 00:11:03,080 --> 00:11:04,880 Speaker 1: put together, you have to take them all with a 204 00:11:04,880 --> 00:11:06,720 Speaker 1: grain of salt. There are so many factors that go 205 00:11:06,800 --> 00:11:09,440 Speaker 1: into how the data is collected. Do people feel comfortable 206 00:11:09,440 --> 00:11:12,320 Speaker 1: with disclosing this information? Who are they asking, how are 207 00:11:12,320 --> 00:11:15,600 Speaker 1: they asking? Are the questions clear? And it gets even 208 00:11:15,640 --> 00:11:20,560 Speaker 1: more complicated when you start to go down into marginalized communities, 209 00:11:20,559 --> 00:11:23,720 Speaker 1: Black folks people who are living with disabilities, people in 210 00:11:23,760 --> 00:11:29,920 Speaker 1: the LGBTQIA community, all of these populations, they've been excluded 211 00:11:30,040 --> 00:11:33,320 Speaker 1: from so many of these conversations. It's been used to 212 00:11:33,880 --> 00:11:39,839 Speaker 1: violate them in the past. Disclosing meant loss of jobs, Disclosing. 213 00:11:39,320 --> 00:11:42,560 Speaker 3: Meant social stigma. It completely changes your life. 214 00:11:42,640 --> 00:11:45,160 Speaker 1: That provides a lot more context t t about why 215 00:11:45,200 --> 00:11:49,400 Speaker 1: we see sex workers or trans people or people of 216 00:11:49,440 --> 00:11:53,280 Speaker 1: color with higher rates of HIV in these slices of 217 00:11:53,320 --> 00:11:56,760 Speaker 1: the population because they have higher risks. These categories aren't 218 00:11:56,800 --> 00:11:59,760 Speaker 1: biological and so when you see these things come together 219 00:12:00,080 --> 00:12:03,480 Speaker 1: because of social influences, and these types of gaps can 220 00:12:03,559 --> 00:12:06,360 Speaker 1: potentially lead to problems where people affected the most are 221 00:12:06,440 --> 00:12:18,360 Speaker 1: excluded or misrepresented in studies. Another thing that's changed a 222 00:12:18,440 --> 00:12:20,719 Speaker 1: lot since nineteen eighty one is that there has been 223 00:12:20,760 --> 00:12:24,880 Speaker 1: a lot more education and media coverage. Yes, movies and 224 00:12:24,920 --> 00:12:27,320 Speaker 1: TV shows have evolved in terms of the stories that 225 00:12:27,360 --> 00:12:30,360 Speaker 1: they tell about people living with HIV. One that I've 226 00:12:30,360 --> 00:12:34,120 Speaker 1: been really enjoying lately is It's a Sin on HBO Max, 227 00:12:34,480 --> 00:12:37,240 Speaker 1: which tells the story of the early eighties and the 228 00:12:37,280 --> 00:12:40,480 Speaker 1: identification of AIDS and that it leads to HIV from 229 00:12:40,520 --> 00:12:43,880 Speaker 1: the perspective of a group of friends living in I 230 00:12:43,880 --> 00:12:46,640 Speaker 1: think they're in London, and you see how they're like, oh, no, 231 00:12:47,000 --> 00:12:48,839 Speaker 1: this is only issue if you sleep with American boys. 232 00:12:48,960 --> 00:12:49,880 Speaker 3: Oh my goodness. 233 00:12:50,160 --> 00:12:53,080 Speaker 1: And that was the framework and the mindset, which doesn't 234 00:12:53,080 --> 00:12:54,680 Speaker 1: feel that different from this is only an issue if 235 00:12:54,720 --> 00:12:57,120 Speaker 1: you traveled to China with COVID. Remember in the real 236 00:12:57,160 --> 00:13:02,360 Speaker 1: world when Pedro Zamora, that was my first introduction to someone. 237 00:13:02,400 --> 00:13:05,640 Speaker 1: He's not a fictional character that had HIV and they 238 00:13:05,640 --> 00:13:08,360 Speaker 1: were showing him on television, and I felt like his 239 00:13:08,400 --> 00:13:12,040 Speaker 1: story really impacted what people generally thought about folks with 240 00:13:12,200 --> 00:13:15,320 Speaker 1: HIV and really humanized that population a lot. 241 00:13:15,440 --> 00:13:15,800 Speaker 2: You know what. 242 00:13:15,840 --> 00:13:20,400 Speaker 1: I remember that movie with Denzel Washington called Philadelphia. 243 00:13:20,640 --> 00:13:24,320 Speaker 3: Yes, another really good one. I loved that movie. 244 00:13:24,720 --> 00:13:28,240 Speaker 1: Well known celebrities, including Billy Porter and Jonathan van Ness 245 00:13:28,240 --> 00:13:31,479 Speaker 1: have recently talked openly about their HIV diagnoses. 246 00:13:31,679 --> 00:13:33,719 Speaker 4: Now, all of a sudden, there's all of these campaigns 247 00:13:33,800 --> 00:13:37,319 Speaker 4: and committees and small organizations that are leading efforts to 248 00:13:37,360 --> 00:13:40,400 Speaker 4: try to devote attention and funding and resources towards addressing 249 00:13:40,440 --> 00:13:41,000 Speaker 4: this problem. 250 00:13:41,200 --> 00:13:42,160 Speaker 5: But the problem wasn't new. 251 00:13:42,200 --> 00:13:44,000 Speaker 4: The problem has been there, it just wasn't pushed to 252 00:13:44,080 --> 00:13:46,440 Speaker 4: the forefront of attention, and so that's kind of what 253 00:13:46,800 --> 00:13:49,560 Speaker 4: stalled the efforts. Let's take a break and when we 254 00:13:49,640 --> 00:13:52,040 Speaker 4: come back, we'll keep talking about why it's taken so 255 00:13:52,120 --> 00:14:15,240 Speaker 4: long to develop an HIV vaccine. We're back and we 256 00:14:15,240 --> 00:14:17,280 Speaker 4: want to tell you about our lab for next week. 257 00:14:17,440 --> 00:14:20,280 Speaker 4: Next week, we're celebrating the end of twenty twenty one 258 00:14:20,480 --> 00:14:22,920 Speaker 4: with our annual end of the year mixtape. We'll be 259 00:14:22,960 --> 00:14:25,400 Speaker 4: talking about the biggest moments from twenty twenty one and 260 00:14:25,440 --> 00:14:27,520 Speaker 4: doing a mini dissection on each of them. 261 00:14:27,560 --> 00:14:30,520 Speaker 1: And in January, we're really excited about a four part 262 00:14:30,560 --> 00:14:33,320 Speaker 1: series we're doing all about wellness, self care and how 263 00:14:33,360 --> 00:14:35,160 Speaker 1: to brush up on your habits in the new year, 264 00:14:35,360 --> 00:14:37,080 Speaker 1: and we want you to be a part of it. 265 00:14:37,240 --> 00:14:39,320 Speaker 1: We want to know your new year's resolutions for twenty 266 00:14:39,360 --> 00:14:41,600 Speaker 1: twenty two. Are you making a list or did you 267 00:14:41,640 --> 00:14:43,160 Speaker 1: skip resolutions altogether? 268 00:14:43,680 --> 00:14:45,960 Speaker 3: What are you focusing on? We want to hear from you. 269 00:14:46,000 --> 00:14:48,720 Speaker 1: Call us at two zero two five six seven seven 270 00:14:48,800 --> 00:14:57,040 Speaker 1: zero two eight and leave us a message. Okay, let's 271 00:14:57,040 --> 00:14:59,200 Speaker 1: get back to the dissection. In the first part of 272 00:14:59,240 --> 00:15:02,760 Speaker 1: the dissection discussed some of the social and behavioral context 273 00:15:03,080 --> 00:15:06,960 Speaker 1: around who is predominantly affected by AHIV, and so now 274 00:15:07,000 --> 00:15:08,800 Speaker 1: it all makes sense as to why it's been an 275 00:15:08,880 --> 00:15:12,480 Speaker 1: uphill battle to developing AHIV vaccine. So at the onset, 276 00:15:12,640 --> 00:15:15,320 Speaker 1: you have people who feel like this isn't worth investing in, 277 00:15:15,440 --> 00:15:19,560 Speaker 1: from our political leaders to big corporations, and we saw 278 00:15:19,680 --> 00:15:22,280 Speaker 1: what it took for something that affected everybody for us 279 00:15:22,320 --> 00:15:24,520 Speaker 1: to get things going just in twenty twenty. 280 00:15:24,800 --> 00:15:25,359 Speaker 2: Imagine. 281 00:15:25,400 --> 00:15:28,960 Speaker 1: Also, what we're talking about is nineteen eighties science. Okay, yeah, 282 00:15:29,160 --> 00:15:31,320 Speaker 1: science with acid wash genes. 283 00:15:31,440 --> 00:15:32,280 Speaker 2: Yes, Okay. 284 00:15:33,360 --> 00:15:35,640 Speaker 1: I don't know how many advances you can make with 285 00:15:35,720 --> 00:15:38,880 Speaker 1: acid wash gens and all that hairspray and all that hairspray. 286 00:15:39,960 --> 00:15:43,840 Speaker 1: But you got to give these scientists credit. Okay, they 287 00:15:43,840 --> 00:15:46,440 Speaker 1: continue to work on this and work on this. Just 288 00:15:46,480 --> 00:15:49,760 Speaker 1: to give you some perspective. In the early stages, so 289 00:15:49,840 --> 00:15:51,640 Speaker 1: like around nineteen eighty five, I think that's when they 290 00:15:51,760 --> 00:15:56,320 Speaker 1: first had the like official HIV diagnostic test. Okay, So 291 00:15:56,360 --> 00:15:58,680 Speaker 1: we're talking about nineteen eighty one to nineteen eighty five 292 00:15:59,080 --> 00:16:03,240 Speaker 1: with no standard test, right, these are people observing symptoms 293 00:16:03,280 --> 00:16:05,760 Speaker 1: and trying to figure out what could possibly be going 294 00:16:05,800 --> 00:16:08,680 Speaker 1: on in these different patients. That first test, the way 295 00:16:08,720 --> 00:16:12,040 Speaker 1: it was designed, you could get a non reactive kind 296 00:16:12,080 --> 00:16:15,000 Speaker 1: of like negative test result. That negative window was eight 297 00:16:15,000 --> 00:16:17,880 Speaker 1: to ten weeks after exposure, So you needed to wait 298 00:16:17,920 --> 00:16:22,120 Speaker 1: at least ten weeks after exposure or potential exposure for 299 00:16:22,200 --> 00:16:25,360 Speaker 1: you to be able to say confidently negative or positive. 300 00:16:25,480 --> 00:16:26,480 Speaker 1: That's a long time. 301 00:16:26,600 --> 00:16:29,320 Speaker 3: That is a very very long time. 302 00:16:29,600 --> 00:16:33,480 Speaker 1: So fast forward, I mean, now that's not the case anymore, right, 303 00:16:33,560 --> 00:16:36,480 Speaker 1: But so from nineteen eighty five to nineteen ninety one 304 00:16:36,560 --> 00:16:38,160 Speaker 1: they got that down from eight to ten weeks to 305 00:16:38,480 --> 00:16:40,600 Speaker 1: tests that only had a two to three week window. 306 00:16:40,680 --> 00:16:42,240 Speaker 1: It's mind boggling to me that they were able to 307 00:16:42,240 --> 00:16:44,120 Speaker 1: make that type of progress without the tools that we 308 00:16:44,200 --> 00:16:45,800 Speaker 1: have available right now. 309 00:16:46,440 --> 00:16:53,080 Speaker 3: All they had were traffer keepers. You can put in 310 00:16:53,080 --> 00:16:54,480 Speaker 3: your lab notes in a Traffer keeper. 311 00:17:02,200 --> 00:17:04,520 Speaker 1: And so what we also have to consider is what 312 00:17:04,680 --> 00:17:07,640 Speaker 1: population or what group of the population was most affected 313 00:17:07,680 --> 00:17:10,760 Speaker 1: by HIV and are these the same people who are 314 00:17:10,760 --> 00:17:16,439 Speaker 1: making decisions about drugs, treatment policy, public health support? Are 315 00:17:16,440 --> 00:17:19,320 Speaker 1: those the people making the decisions around HIV? And Christine 316 00:17:19,320 --> 00:17:22,640 Speaker 1: says that representation in those spaces is absolutely crucial. 317 00:17:22,760 --> 00:17:25,600 Speaker 4: When you think about from a research standpoint, the people 318 00:17:25,680 --> 00:17:27,760 Speaker 4: that are in a position to decide the questions that 319 00:17:27,920 --> 00:17:30,480 Speaker 4: research don't look like the populations that are affected. So 320 00:17:30,600 --> 00:17:32,800 Speaker 4: if those people aren't in the room, they can't direct 321 00:17:32,800 --> 00:17:35,440 Speaker 4: the questions, and so we see a lot more research 322 00:17:35,480 --> 00:17:38,320 Speaker 4: funding or research done on things that impact the dominant culture, 323 00:17:38,359 --> 00:17:40,800 Speaker 4: such as breast cancer, instead of things like sickle cell 324 00:17:40,920 --> 00:17:43,919 Speaker 4: that affect predominantly African Americans or minorities. So we have 325 00:17:43,960 --> 00:17:46,439 Speaker 4: the funding issue, we also have the representation issue. If 326 00:17:46,440 --> 00:17:48,800 Speaker 4: we're not in the room, we can't drive the conversation, 327 00:17:48,920 --> 00:17:49,679 Speaker 4: we can't direct it. 328 00:17:49,760 --> 00:17:54,639 Speaker 1: Doctor Daniel's identity is inastricably linked to her work. Diseases 329 00:17:54,680 --> 00:17:57,720 Speaker 1: she chooses to research are the ones that most frequently 330 00:17:57,800 --> 00:17:59,960 Speaker 1: impact people who share her identity. 331 00:18:00,040 --> 00:18:02,200 Speaker 4: I personally don't think you can separate the two. Well, 332 00:18:02,240 --> 00:18:04,560 Speaker 4: I can't because of my identity. I am a black woman, 333 00:18:04,600 --> 00:18:06,399 Speaker 4: and so the way I approach research, the way I 334 00:18:06,400 --> 00:18:08,879 Speaker 4: think about the questions that I'm researching, is always going 335 00:18:08,920 --> 00:18:12,080 Speaker 4: to be influenced by my identity, and so the diseases 336 00:18:12,119 --> 00:18:15,160 Speaker 4: I choose to research are typically diseases that more frequently 337 00:18:15,280 --> 00:18:18,800 Speaker 4: impact people with my identity or similar identities. Christine saw 338 00:18:18,800 --> 00:18:21,600 Speaker 4: the disparities and how they can affect decisions that are 339 00:18:21,600 --> 00:18:24,399 Speaker 4: made firsthand when COVID started and when the COVID pandemic 340 00:18:24,440 --> 00:18:27,400 Speaker 4: first started, we were in these multi day symposiums working force, 341 00:18:27,480 --> 00:18:29,560 Speaker 4: just trying to understand what was going on. So, what's 342 00:18:29,600 --> 00:18:32,280 Speaker 4: infecting these people, how is it happening, how is it spreading, 343 00:18:32,400 --> 00:18:34,199 Speaker 4: what do we do to contain it, how do we 344 00:18:34,240 --> 00:18:36,399 Speaker 4: treat it, how is it working, and things like that, 345 00:18:36,440 --> 00:18:38,760 Speaker 4: and who do we prioritize. And in one of them, 346 00:18:38,880 --> 00:18:41,520 Speaker 4: race only came up one time because a person asked 347 00:18:41,680 --> 00:18:45,360 Speaker 4: about the prevalence amongst minority communities. The person said that 348 00:18:45,680 --> 00:18:49,320 Speaker 4: because African Americans have higher rates of obesity and hypertension, 349 00:18:49,560 --> 00:18:51,520 Speaker 4: that that's why it's more prevalent amongst us, and that's 350 00:18:51,520 --> 00:18:54,120 Speaker 4: why we're dying because we have all these pre existing conditions, 351 00:18:54,200 --> 00:18:54,800 Speaker 4: and that was it. 352 00:18:54,880 --> 00:18:58,080 Speaker 1: If you're not acknowledging the context in which people are 353 00:18:58,119 --> 00:19:02,240 Speaker 1: living when talking about pre existing conditions, you're not painting 354 00:19:02,280 --> 00:19:03,040 Speaker 1: the full picture. 355 00:19:03,040 --> 00:19:04,240 Speaker 3: You're not telling the whole story. 356 00:19:04,520 --> 00:19:08,040 Speaker 1: Race is not a biological category, So we're talking about 357 00:19:08,040 --> 00:19:12,240 Speaker 1: things like access to good healthcare, socioeconomic status, even things. 358 00:19:12,040 --> 00:19:15,160 Speaker 3: Like your ability to social distance. Not everybody can do that. 359 00:19:15,280 --> 00:19:17,840 Speaker 1: Your housing conditions or the type of job you have 360 00:19:18,080 --> 00:19:21,000 Speaker 1: might make it impossible for you to do that. One 361 00:19:21,000 --> 00:19:23,919 Speaker 1: thing Christine talked about that was really interesting was that 362 00:19:23,960 --> 00:19:27,680 Speaker 1: disparities and representation can also lead to disparities in terms 363 00:19:27,760 --> 00:19:31,080 Speaker 1: of technology and access. I worry we're developing more and 364 00:19:31,080 --> 00:19:33,960 Speaker 1: more high tech technologies because we can, but we won't 365 00:19:34,000 --> 00:19:36,320 Speaker 1: be able to actually benefit the people who need it 366 00:19:36,320 --> 00:19:39,480 Speaker 1: the most because now it's cost prohibitive, because so much 367 00:19:39,520 --> 00:19:42,560 Speaker 1: money goes into developing them that now it won't be 368 00:19:42,640 --> 00:19:44,760 Speaker 1: marketed at a price point that the people who needed 369 00:19:44,760 --> 00:19:47,280 Speaker 1: it most, the people who was designed for, can benefit 370 00:19:47,320 --> 00:19:47,680 Speaker 1: from it. 371 00:19:47,720 --> 00:19:49,280 Speaker 4: Do you have to be in a hospital to get 372 00:19:49,280 --> 00:19:51,840 Speaker 4: administered this? How feasible is it for someone to go 373 00:19:52,000 --> 00:19:54,600 Speaker 4: and get competitive doses of something? I don't think that 374 00:19:54,840 --> 00:19:57,160 Speaker 4: scientists think enough about who they're trying. 375 00:19:56,960 --> 00:19:59,120 Speaker 1: To help, and that's something that we're seeing with COVID right. 376 00:19:59,240 --> 00:20:01,440 Speaker 1: One of the things was that the vaccine had to 377 00:20:01,480 --> 00:20:05,679 Speaker 1: be refrigerated. And which countries can afford to buy these therapies. 378 00:20:06,280 --> 00:20:07,160 Speaker 1: That's important. 379 00:20:07,359 --> 00:20:08,439 Speaker 3: That's such a good point. 380 00:20:08,480 --> 00:20:11,280 Speaker 1: I mean, what's the point of a treatment if only 381 00:20:11,320 --> 00:20:14,240 Speaker 1: the top one percent can afford the drug? We talked 382 00:20:14,240 --> 00:20:16,080 Speaker 1: about prep in part one of the series and how 383 00:20:16,080 --> 00:20:19,040 Speaker 1: it's an effective preventative drug for HIV, but. 384 00:20:19,040 --> 00:20:22,320 Speaker 3: We didn't mention the cost. A thirty day supply of 385 00:20:22,440 --> 00:20:26,800 Speaker 3: PREP costs one thousand, seven hundred and fifty eight dollars. 386 00:20:27,160 --> 00:20:30,479 Speaker 3: That means annually it could add up to over twenty 387 00:20:30,520 --> 00:20:31,880 Speaker 3: one thousand dollars. 388 00:20:32,119 --> 00:20:34,080 Speaker 2: That is ridiculous. 389 00:20:34,200 --> 00:20:36,280 Speaker 3: In July of this year, the federal government passed the 390 00:20:36,359 --> 00:20:39,960 Speaker 3: law mandating insurers to cover PREP drugs one hundred percent, 391 00:20:40,040 --> 00:20:43,920 Speaker 3: including clinic visits associated with PREP. That's a big deal. 392 00:20:44,200 --> 00:20:48,280 Speaker 2: That's huge. Yeah, And the CDC just released new guidelines. 393 00:20:47,760 --> 00:20:51,240 Speaker 1: Right and it added a recommendation to doctors to inform 394 00:20:51,440 --> 00:20:55,200 Speaker 1: all sexually active adults and adolescents about PREP. I think 395 00:20:55,200 --> 00:20:58,399 Speaker 1: that's going to go a long way in raising awareness 396 00:20:58,480 --> 00:20:59,640 Speaker 1: and reducing stigma. 397 00:21:00,320 --> 00:21:01,800 Speaker 5: Scientists care about the science. 398 00:21:01,800 --> 00:21:04,440 Speaker 4: They want the coolest technology and the most high tech thing, 399 00:21:04,520 --> 00:21:07,800 Speaker 4: But people from different identities think about them and think 400 00:21:07,840 --> 00:21:10,639 Speaker 4: about how would this work, Like would my friend cousin's 401 00:21:10,680 --> 00:21:12,520 Speaker 4: sister mother actually be able to use this? 402 00:21:12,760 --> 00:21:14,439 Speaker 5: I think about this a lot in terms of cancer. 403 00:21:14,480 --> 00:21:17,520 Speaker 4: I think about how much money will go into funding 404 00:21:17,560 --> 00:21:19,719 Speaker 4: a drug that will extend the life of a cancer 405 00:21:19,760 --> 00:21:22,840 Speaker 4: that already has a pretty fair prognosis, versus you know, 406 00:21:23,119 --> 00:21:24,960 Speaker 4: studying one where people have less options. 407 00:21:25,000 --> 00:21:28,359 Speaker 1: When we get into conversations about race relations or the 408 00:21:28,400 --> 00:21:31,359 Speaker 1: experience of people of color in America. There are some 409 00:21:31,480 --> 00:21:34,840 Speaker 1: people who, while you're in that conversation, they say, oh, 410 00:21:34,920 --> 00:21:37,399 Speaker 1: I'm just playing Devil's advocate. And to that, I really 411 00:21:37,440 --> 00:21:40,880 Speaker 1: like to quote Quinta Brunson, and I say, go play 412 00:21:40,880 --> 00:21:45,040 Speaker 1: Devil's advocate. In hell, we're talking about somebody's ability to live, 413 00:21:45,240 --> 00:21:48,040 Speaker 1: you know what I mean, Like, we're talking about life, 414 00:21:48,240 --> 00:21:51,800 Speaker 1: someone's life. We're talking about safety. We're talking about the 415 00:21:51,840 --> 00:21:54,960 Speaker 1: safety of people's family, of their friends, their closest people, 416 00:21:55,000 --> 00:21:58,040 Speaker 1: their loved ones, and everything like that. So for you, 417 00:21:58,520 --> 00:22:00,920 Speaker 1: it might just be a mental exercise and you think, oh, 418 00:22:00,960 --> 00:22:04,360 Speaker 1: I'm just strengthening this debate muscle that I have or whatever. 419 00:22:04,920 --> 00:22:06,960 Speaker 3: But for some people, it's life or death. 420 00:22:07,119 --> 00:22:07,840 Speaker 2: It really is. 421 00:22:08,119 --> 00:22:10,960 Speaker 1: And I think if there's one thing we've learned, it 422 00:22:11,080 --> 00:22:15,639 Speaker 1: is how important the introduction or rollout of any effective 423 00:22:15,640 --> 00:22:19,399 Speaker 1: treatment is to whether or not it gets even considered 424 00:22:20,000 --> 00:22:23,280 Speaker 1: by folks, right, whether folks are even willing to talk 425 00:22:23,320 --> 00:22:26,360 Speaker 1: about it, think about taking it, let alone, take it 426 00:22:26,400 --> 00:22:28,960 Speaker 1: as recommend it right. So I think that's something we've 427 00:22:29,000 --> 00:22:30,960 Speaker 1: learned from COVID, and we got to figure out how 428 00:22:31,040 --> 00:22:33,800 Speaker 1: is this going to work when an effective HIV vaccine 429 00:22:33,920 --> 00:22:37,560 Speaker 1: does arrive. We've seen the pitfalls of a bumpy vaccine 430 00:22:37,600 --> 00:22:40,480 Speaker 1: rollout this past year with COVID. There's been a ton 431 00:22:40,520 --> 00:22:43,520 Speaker 1: of misinformation around the vaccine, and you can hear more 432 00:22:43,640 --> 00:22:46,679 Speaker 1: about that in Lab thirty seven called in Denial. We 433 00:22:46,720 --> 00:22:49,399 Speaker 1: wanted to know from Christine what kinds of barriers she 434 00:22:49,520 --> 00:22:53,359 Speaker 1: anticipates once an HIV vaccine does hit the market. HIV 435 00:22:53,520 --> 00:22:56,200 Speaker 1: is an STD, so already you're going to have opposition 436 00:22:56,320 --> 00:23:00,320 Speaker 1: because people don't like to think about sex or sexual transmit. 437 00:23:00,160 --> 00:23:01,320 Speaker 5: Diseases and youth. 438 00:23:01,680 --> 00:23:04,080 Speaker 4: And so in order for U to get widespread population, 439 00:23:04,200 --> 00:23:06,399 Speaker 4: as what we've seen with COVID, we have to get 440 00:23:06,560 --> 00:23:09,920 Speaker 4: children vaccinated too, And so I see opposition for parents 441 00:23:09,960 --> 00:23:12,199 Speaker 4: not wanting their children to get something that's associated with 442 00:23:12,280 --> 00:23:14,919 Speaker 4: sex because they think that that might encourage them to 443 00:23:15,000 --> 00:23:17,200 Speaker 4: have sex, and that's not the case. 444 00:23:17,440 --> 00:23:17,640 Speaker 2: Right. 445 00:23:17,840 --> 00:23:19,960 Speaker 3: We saw this with the HPV vaccine. 446 00:23:20,240 --> 00:23:24,080 Speaker 1: HPV is a very common and highly transmittable STD that's 447 00:23:24,119 --> 00:23:27,040 Speaker 1: linked to many types of cancer, including ninety percent of 448 00:23:27,119 --> 00:23:31,800 Speaker 1: cervical cancer. Doctors recommended getting the twudose vaccine and adolescence, 449 00:23:32,000 --> 00:23:34,879 Speaker 1: but many parents were hesitant. And it's not just because 450 00:23:34,880 --> 00:23:38,520 Speaker 1: it's an STD, it's also because of misinformation in general. 451 00:23:38,680 --> 00:23:43,000 Speaker 4: The other opposition, again, I would say, is vaccine hesitancy broadly, 452 00:23:43,080 --> 00:23:46,880 Speaker 4: not speaking about just African Americans or Hispanics or anyone population, 453 00:23:46,960 --> 00:23:49,879 Speaker 4: but just people who don't think vaccines work. They base 454 00:23:50,040 --> 00:23:52,320 Speaker 4: their belief in the ability of a vaccine to work 455 00:23:52,560 --> 00:23:55,440 Speaker 4: on the flu vaccine, which doesn't reach the level of 456 00:23:55,520 --> 00:23:58,720 Speaker 4: efficacy that we see with the COVID nineteen vaccine, and 457 00:23:58,720 --> 00:24:01,520 Speaker 4: that's for different reasons. I mean, there's multiple circulating strains 458 00:24:01,520 --> 00:24:04,400 Speaker 4: and you taste faster things like that that affect its efficacy. 459 00:24:04,440 --> 00:24:06,159 Speaker 4: But there's so many people that have this narrative of 460 00:24:06,280 --> 00:24:08,560 Speaker 4: I got the vaccine for flu and I still got sick, 461 00:24:08,720 --> 00:24:10,680 Speaker 4: or I never get the vaccine and I never get sick, 462 00:24:10,840 --> 00:24:11,240 Speaker 4: And this. 463 00:24:11,160 --> 00:24:12,040 Speaker 2: Is really interesting. You know. 464 00:24:12,119 --> 00:24:14,960 Speaker 1: We talked about this in our vaccine episode of Protection 465 00:24:15,080 --> 00:24:19,160 Speaker 1: Neck Lab four about one of my friends who's a virologist, yes, 466 00:24:19,240 --> 00:24:21,320 Speaker 1: who told me he would not go to dinner with 467 00:24:21,320 --> 00:24:23,240 Speaker 1: me until I had my flu vaccine. And we went 468 00:24:23,480 --> 00:24:25,480 Speaker 1: right over to the right eight and I got a 469 00:24:25,480 --> 00:24:28,480 Speaker 1: flu vaccine and then we walked back into town for dinner. 470 00:24:29,680 --> 00:24:33,920 Speaker 2: And maybe we need you need like that. We all 471 00:24:33,960 --> 00:24:35,159 Speaker 2: need York friends like Greg. 472 00:24:36,280 --> 00:24:37,119 Speaker 3: Shout out to Greg. 473 00:24:42,119 --> 00:24:43,479 Speaker 1: And it does feel like there have been a lot 474 00:24:43,520 --> 00:24:45,600 Speaker 1: more people talking about flu shots this year. 475 00:24:45,720 --> 00:24:45,920 Speaker 4: Yeah. 476 00:24:45,960 --> 00:24:48,560 Speaker 1: I think people feel a lot more comfortable with getting 477 00:24:48,560 --> 00:24:51,600 Speaker 1: a flu shot now that we've been in this pandemic 478 00:24:51,720 --> 00:24:55,840 Speaker 1: and been away from people and masking and social distancing. 479 00:24:55,920 --> 00:24:58,679 Speaker 1: I think that the folks that were not likely to 480 00:24:58,680 --> 00:25:00,840 Speaker 1: get a flu vaccine are now a lot more likely 481 00:25:00,880 --> 00:25:01,280 Speaker 1: to get it. 482 00:25:01,440 --> 00:25:04,120 Speaker 4: You also have people from these very privileged backgrounds who 483 00:25:04,480 --> 00:25:07,280 Speaker 4: had promoted this idea that they don't need to vaccinate 484 00:25:07,280 --> 00:25:08,920 Speaker 4: their children because they don't know what's in it, because 485 00:25:08,920 --> 00:25:11,800 Speaker 4: it'll leave autism. There's all of these false narratives and 486 00:25:11,960 --> 00:25:16,480 Speaker 4: myths and misconceptions about vaccines that also creates opposition. Another 487 00:25:16,520 --> 00:25:19,040 Speaker 4: point Christine made is that when it comes to this 488 00:25:19,240 --> 00:25:21,920 Speaker 4: anti vaxed narrative, we really need to pay attention to 489 00:25:22,000 --> 00:25:25,240 Speaker 4: the cultural context, because some people are quick to be 490 00:25:25,359 --> 00:25:28,720 Speaker 4: labeled as anti vacs, while others have the luxury of 491 00:25:28,760 --> 00:25:29,960 Speaker 4: being labeled curious. 492 00:25:30,080 --> 00:25:31,720 Speaker 2: And it's way more complicated than that. 493 00:25:31,840 --> 00:25:33,840 Speaker 4: I just don't like the vaccine has a tensing narrative. 494 00:25:33,960 --> 00:25:37,679 Speaker 4: I just think it's inherently problematic. It's an oversimplification of 495 00:25:38,119 --> 00:25:43,040 Speaker 4: legitimate concerns that are based in history and evidence. I 496 00:25:43,119 --> 00:25:47,080 Speaker 4: hate that that narrative is attributed to people who ask 497 00:25:47,200 --> 00:25:51,200 Speaker 4: questions when they are for certain race or a particular group. 498 00:25:51,400 --> 00:25:54,000 Speaker 4: When white people ask questions, it's, oh, you know, they 499 00:25:54,000 --> 00:25:55,640 Speaker 4: just want to be more informed. When black people ask 500 00:25:55,720 --> 00:25:58,280 Speaker 4: questions like, oh, they're has and they apply it to 501 00:25:58,320 --> 00:26:00,480 Speaker 4: all vaccines, and I just think it's really problem and 502 00:26:00,520 --> 00:26:01,520 Speaker 4: it's not true. 503 00:26:01,640 --> 00:26:04,440 Speaker 1: There's a lot of nuance there that's important to recognize, 504 00:26:04,480 --> 00:26:07,800 Speaker 1: and when it comes to approaching those curious about vaccines, 505 00:26:08,080 --> 00:26:11,040 Speaker 1: it's really important to meet people where they are and 506 00:26:11,200 --> 00:26:13,560 Speaker 1: do so on a case by case basis. 507 00:26:13,880 --> 00:26:15,000 Speaker 2: So how do we do that? 508 00:26:15,160 --> 00:26:18,159 Speaker 1: What can scientists, doctors, and educators do to help more 509 00:26:18,200 --> 00:26:20,879 Speaker 1: people understand what goes into the vaccine if. 510 00:26:20,720 --> 00:26:24,439 Speaker 4: We want people to take the vaccine. As scientists, we 511 00:26:24,520 --> 00:26:26,560 Speaker 4: need to do a better job of removing the veil 512 00:26:26,800 --> 00:26:30,439 Speaker 4: between the public and the science. The public pays our salaries, 513 00:26:30,480 --> 00:26:33,160 Speaker 4: they pay for the science. The tax payers fund this research, 514 00:26:33,480 --> 00:26:35,359 Speaker 4: and so I feel that they are entitled to the 515 00:26:35,400 --> 00:26:38,639 Speaker 4: information of what happens with those funds, and so as scientists, 516 00:26:38,640 --> 00:26:41,159 Speaker 4: I think we don't do a good job of coming 517 00:26:41,200 --> 00:26:43,639 Speaker 4: forward and saying what we're doing or what the story is. 518 00:26:43,680 --> 00:26:47,520 Speaker 4: As scientists, our job is to present data, to get data, 519 00:26:47,560 --> 00:26:51,160 Speaker 4: explore questions, determine answers in an accurate and reproducible way. 520 00:26:51,320 --> 00:26:53,560 Speaker 4: And so if we want that to be conveyed, then 521 00:26:53,560 --> 00:26:55,639 Speaker 4: we as scientists have to be the people communicating that 522 00:26:55,680 --> 00:26:57,920 Speaker 4: information in the way that we want it to be received. 523 00:26:58,000 --> 00:27:00,480 Speaker 4: And that's true for HIV, but it's also going to 524 00:27:00,520 --> 00:27:02,960 Speaker 4: be true for some other great developments we've seen. 525 00:27:03,000 --> 00:27:06,280 Speaker 2: With the malaria vaccine, Yes, that is huge. 526 00:27:06,359 --> 00:27:11,200 Speaker 1: Malaria is a disease that's transmitted through mosquitoes and it 527 00:27:11,320 --> 00:27:15,560 Speaker 1: has been really devastating in a lot of different countries, 528 00:27:15,640 --> 00:27:18,280 Speaker 1: and so a malario vaccine has now been approved. 529 00:27:18,280 --> 00:27:20,439 Speaker 3: This is going to change the lives of so many people. 530 00:27:20,680 --> 00:27:23,239 Speaker 1: And this is also going to be important not just 531 00:27:23,280 --> 00:27:27,120 Speaker 1: for malaria globally, but also for the dingay vaccine den Vaccia, 532 00:27:27,280 --> 00:27:29,800 Speaker 1: which was approved by the FDA in twenty nineteen and 533 00:27:29,880 --> 00:27:40,680 Speaker 1: has some updates to its use in June twenty twenty one. 534 00:27:42,040 --> 00:27:45,480 Speaker 1: I love that we separated this into two parts because 535 00:27:45,520 --> 00:27:48,720 Speaker 1: it really helped us to be able to explore all 536 00:27:48,840 --> 00:27:54,359 Speaker 1: of the contextual social aspects of the HIV vaccine and 537 00:27:54,640 --> 00:27:57,560 Speaker 1: the history of HIV in this country. 538 00:27:57,640 --> 00:27:59,560 Speaker 3: I learned so so much. 539 00:27:59,400 --> 00:28:00,720 Speaker 2: And I think it's a great example. 540 00:28:00,800 --> 00:28:05,119 Speaker 1: It would not be accurate, fair anything to tell this 541 00:28:05,200 --> 00:28:10,679 Speaker 1: story that's only about glycoproteins and only about the latest 542 00:28:10,720 --> 00:28:14,120 Speaker 1: platform for designing small nanoparticles. 543 00:28:14,280 --> 00:28:15,760 Speaker 2: That's not the full story, you know. 544 00:28:16,160 --> 00:28:19,000 Speaker 1: I think it's only right to say that the identity 545 00:28:19,000 --> 00:28:23,520 Speaker 1: of the group's affected influence the response, influence how much 546 00:28:23,600 --> 00:28:27,879 Speaker 1: funding gets put towards prevention and public health efforts. I 547 00:28:27,920 --> 00:28:32,239 Speaker 1: love how Christine mentioned religion and how societal values at 548 00:28:32,280 --> 00:28:36,600 Speaker 1: a specific time can influence the urgency that's considered when 549 00:28:36,600 --> 00:28:39,240 Speaker 1: we see people dying, and we see that right now, 550 00:28:39,360 --> 00:28:42,600 Speaker 1: I've seen a lot of conversation around whether or not 551 00:28:43,000 --> 00:28:45,560 Speaker 1: it matters about who's going to the hospital if they're 552 00:28:45,600 --> 00:28:48,480 Speaker 1: not vaccinated. Hey, we want everybody to live, okay, And 553 00:28:48,560 --> 00:28:49,400 Speaker 1: so I think it's. 554 00:28:49,240 --> 00:28:50,880 Speaker 2: Just like a slippery slope. 555 00:28:50,960 --> 00:28:53,080 Speaker 1: Like you said, you have to know your history or 556 00:28:53,120 --> 00:28:55,240 Speaker 1: else you're bound to repeat it. And I know human 557 00:28:55,240 --> 00:28:56,800 Speaker 1: evolution is not happening that fast. 558 00:28:56,840 --> 00:28:57,080 Speaker 2: Okay. 559 00:28:57,080 --> 00:28:58,840 Speaker 1: We are the same people in nineteen eighty as we 560 00:28:58,880 --> 00:28:59,800 Speaker 1: are in twenty twenty. 561 00:29:00,120 --> 00:29:02,520 Speaker 2: Yes, don't fool yourself, but I. 562 00:29:02,480 --> 00:29:06,080 Speaker 1: Do love the increased awareness. You know, we're seeing more conversations, 563 00:29:06,080 --> 00:29:08,960 Speaker 1: we're seeing more efforts. You know, you mentioned some of 564 00:29:09,000 --> 00:29:12,760 Speaker 1: the things you see in TV celebrities using their platforms. 565 00:29:12,840 --> 00:29:15,600 Speaker 1: We talked about movies, you know, I said Philadelphia, but 566 00:29:15,600 --> 00:29:16,880 Speaker 1: I don't know if it still holds up. That was 567 00:29:16,920 --> 00:29:19,280 Speaker 1: in the nineties, right, But there are some really great 568 00:29:19,400 --> 00:29:23,840 Speaker 1: TV shows that are out right now that center around 569 00:29:24,040 --> 00:29:25,959 Speaker 1: people who are living with HIV. 570 00:29:26,280 --> 00:29:27,560 Speaker 2: Two shows, so there's pose. 571 00:29:27,840 --> 00:29:30,280 Speaker 1: And then I think I mentioned earlier it's a sim 572 00:29:30,360 --> 00:29:33,000 Speaker 1: which is a historical perspective taking us back to the 573 00:29:33,000 --> 00:29:35,360 Speaker 1: eighties with the hairspray and the asset wash genes, but 574 00:29:35,640 --> 00:29:38,120 Speaker 1: from the lens of a different country, and we really 575 00:29:38,120 --> 00:29:40,760 Speaker 1: get to see how geography plays a role. And then 576 00:29:40,920 --> 00:29:43,760 Speaker 1: another great thing is that doctor Daniels gave us some 577 00:29:43,800 --> 00:29:46,880 Speaker 1: book recommendations if you want to learn more, and we're 578 00:29:46,960 --> 00:29:49,000 Speaker 1: going to have that in the show notes, So make 579 00:29:49,040 --> 00:29:51,720 Speaker 1: sure you head over to dope lauspodcast dot com to 580 00:29:51,880 --> 00:29:54,480 Speaker 1: look at those because I am definitely adding all of 581 00:29:54,520 --> 00:29:56,840 Speaker 1: those books to my lists of books that I'm going 582 00:29:56,880 --> 00:30:07,120 Speaker 1: to be reading. All Right, it's time for one thing, Zakiya, 583 00:30:07,400 --> 00:30:09,880 Speaker 1: what's your one thing? My one thing this week is 584 00:30:10,120 --> 00:30:13,160 Speaker 1: ground Truths, which is a newsletter from doctor Eric Topole. 585 00:30:13,240 --> 00:30:16,000 Speaker 1: He's a physician but does a lot of translational medicine 586 00:30:16,040 --> 00:30:19,040 Speaker 1: and I am loving it. It's Eric Topole so E 587 00:30:19,160 --> 00:30:22,160 Speaker 1: R I C T O P O L dot substack 588 00:30:22,400 --> 00:30:26,840 Speaker 1: dot com, It's COVID Updates. I really like it because 589 00:30:26,880 --> 00:30:29,520 Speaker 1: it's straight off the press. He's a scientist, he's looking 590 00:30:29,560 --> 00:30:31,520 Speaker 1: at some of the latest stuff from other scientists, and 591 00:30:31,560 --> 00:30:34,120 Speaker 1: he's just telling it like it is, yes, pay attention 592 00:30:34,160 --> 00:30:35,680 Speaker 1: to this or nope, we have to take this with 593 00:30:35,720 --> 00:30:38,760 Speaker 1: a grain of salt, like is omicron ominous? You know, 594 00:30:39,080 --> 00:30:41,960 Speaker 1: like it's just really breaking it down. There are charts 595 00:30:42,000 --> 00:30:42,800 Speaker 1: and grabs. 596 00:30:42,480 --> 00:30:43,320 Speaker 2: You know. I love that. 597 00:30:43,720 --> 00:30:48,880 Speaker 1: Yes, my one thing this week is Masterclass. So I 598 00:30:48,920 --> 00:30:51,800 Speaker 1: feel like everybody has seen an ad for master Class 599 00:30:51,840 --> 00:30:54,960 Speaker 1: at some point with you know, some of their favorite 600 00:30:54,960 --> 00:30:59,280 Speaker 1: directors or writers, and so I took the plunge and 601 00:30:59,320 --> 00:31:03,520 Speaker 1: actually got a subscription to Masterclass. So it's kind of 602 00:31:03,560 --> 00:31:05,560 Speaker 1: an app, but you can log in on your desktop 603 00:31:05,720 --> 00:31:08,920 Speaker 1: and they have master classes for everything from you know, 604 00:31:09,120 --> 00:31:12,400 Speaker 1: people who have been leading in their fields so on 605 00:31:12,600 --> 00:31:17,600 Speaker 1: wilderness survival. Filmmaking athlete Steph Curry has done a masterclass 606 00:31:17,960 --> 00:31:23,440 Speaker 1: real Estate, graphic Design, Gardening, Barbecue and they're long because 607 00:31:23,440 --> 00:31:27,240 Speaker 1: they separated into segments and it's really well put together 608 00:31:27,640 --> 00:31:31,000 Speaker 1: and it's not just some random person who is interested 609 00:31:31,280 --> 00:31:33,240 Speaker 1: in writing and doing television. 610 00:31:33,280 --> 00:31:35,800 Speaker 3: They have Isa Ray doing a master class. 611 00:31:35,880 --> 00:31:37,880 Speaker 2: Right, what's been your favorite one so far? 612 00:31:38,080 --> 00:31:39,360 Speaker 3: Definitely the one with Ray. 613 00:31:39,480 --> 00:31:43,520 Speaker 1: She's so funny and she gets insight into how she 614 00:31:43,680 --> 00:31:46,320 Speaker 1: does a lot of things and like how things started 615 00:31:46,640 --> 00:31:49,000 Speaker 1: in the way that she's able to develop a story 616 00:31:49,360 --> 00:31:53,360 Speaker 1: and develop characters and how she minds in her real 617 00:31:53,440 --> 00:31:56,320 Speaker 1: life for character plots and things like that. 618 00:31:56,360 --> 00:31:59,040 Speaker 3: So it was really really good. Yeah, they got Samuel L. 619 00:31:59,120 --> 00:32:01,360 Speaker 1: Jackson on there, they got Gordon Ramsay on there, Alicia 620 00:32:01,400 --> 00:32:03,880 Speaker 1: Keys and another thing that I really love about masterclass, 621 00:32:03,880 --> 00:32:05,880 Speaker 1: so you can go to masterclass dot com to check 622 00:32:05,960 --> 00:32:07,480 Speaker 1: that out, is that you can give it as a gift. 623 00:32:07,520 --> 00:32:10,720 Speaker 1: So if you have a friend that's really interested in gardening, 624 00:32:11,080 --> 00:32:16,840 Speaker 1: or really interested in spices, or really interested in cocktails, 625 00:32:16,880 --> 00:32:20,440 Speaker 1: like my friend, you can take that one masterclass and 626 00:32:20,480 --> 00:32:22,480 Speaker 1: you can send it to them and it's such a 627 00:32:22,520 --> 00:32:25,200 Speaker 1: good gift. I did that for Jimmy, I sent him 628 00:32:25,200 --> 00:32:27,560 Speaker 1: a barbecue one for I think it was his birthday 629 00:32:27,960 --> 00:32:31,200 Speaker 1: last year, and it's so fun and it's such a 630 00:32:31,200 --> 00:32:34,480 Speaker 1: great thoughtful gift. So masterclass dot com. Was that a 631 00:32:34,480 --> 00:32:36,000 Speaker 1: gift for Jimmy or a gift for you? Because I 632 00:32:36,080 --> 00:32:37,280 Speaker 1: know how you like barbecue? 633 00:32:37,560 --> 00:32:40,520 Speaker 3: It was a gift for me because guess what I 634 00:32:40,520 --> 00:32:45,880 Speaker 3: got ribs that weekend? Brush off the grill. 635 00:32:55,200 --> 00:32:57,360 Speaker 2: That's it for Lab forty three. What did you think? 636 00:32:57,640 --> 00:33:00,240 Speaker 2: Call us at two zero two five six seven seven 637 00:33:00,360 --> 00:33:01,080 Speaker 2: zero two eight. 638 00:33:00,960 --> 00:33:03,320 Speaker 1: And let us know and don't forget. There's so much 639 00:33:03,400 --> 00:33:05,680 Speaker 1: more for you to dig into on our website. There'll 640 00:33:05,720 --> 00:33:08,040 Speaker 1: be a cheat sheet for today's lab, additional links and 641 00:33:08,120 --> 00:33:10,760 Speaker 1: resources in the show notes. Plus you can sign up 642 00:33:10,760 --> 00:33:13,960 Speaker 1: for our newsletter check it out at Dope lasspodcast dot com. 643 00:33:14,040 --> 00:33:16,760 Speaker 1: Special thanks to our amazing guest expert for this two 644 00:33:16,800 --> 00:33:21,040 Speaker 1: part series, Doctor Christine Daniels. Dope Labs is a Spotify 645 00:33:21,080 --> 00:33:24,320 Speaker 1: original production from Mega owned Media Group. Our producers are 646 00:33:24,400 --> 00:33:28,360 Speaker 1: Jenny ratlit Mask and Lydia Smith of WaveRunner Studios. Editing 647 00:33:28,440 --> 00:33:32,480 Speaker 1: in sound design by Rob Smerciak, mixing by Hannes Brown. 648 00:33:32,760 --> 00:33:36,960 Speaker 1: Original music composed and produced by Taka Yasuzawa and Alex. 649 00:33:36,720 --> 00:33:38,080 Speaker 2: Suguer from Spotify. 650 00:33:38,160 --> 00:33:41,360 Speaker 1: Our executive producer is Gina Delvak, and creative producers are 651 00:33:41,400 --> 00:33:45,360 Speaker 1: Baron Farmer and Candace Manriquez Rinn. Special thanks to Shirley 652 00:33:45,440 --> 00:33:50,200 Speaker 1: ramos yasmin of Fifi, camu Elolia, Till krat Key and 653 00:33:50,280 --> 00:33:53,760 Speaker 1: Brian Marquis. Executive producers from Mega Own Media Group are 654 00:33:53,880 --> 00:34:10,279 Speaker 1: Us T. T Show Dia and Zakiah Wattler. Do y'all 655 00:34:10,280 --> 00:34:13,680 Speaker 1: remember that when Joe Big at like Apple and Starbucks 656 00:34:14,520 --> 00:34:15,319 Speaker 1: and Bono was. 657 00:34:17,239 --> 00:34:20,560 Speaker 2: I don't know, I'm like Bono was, I'm. 658 00:34:20,280 --> 00:34:25,680 Speaker 3: Like, same thing. Isn't the same person? Who's Who's bon Jovi? 659 00:34:25,880 --> 00:34:26,279 Speaker 3: I don't know. 660 00:34:27,760 --> 00:34:29,080 Speaker 2: They're all red hot chili peppers. 661 00:34:29,440 --> 00:34:33,160 Speaker 3: Come on, it's all Bruce Springsteen, you know. 662 00:34:35,520 --> 00:34:35,879 Speaker 5: Mm hmm