1 00:00:04,280 --> 00:00:10,680 Speaker 1: From Blueberg News and iHeartRadio. It's the big take. I'm 2 00:00:10,720 --> 00:00:15,960 Speaker 1: Weskosova today a flu shot that might actually work thanks 3 00:00:16,120 --> 00:00:27,080 Speaker 1: to COVID. Hey remember to get your flu shot. You 4 00:00:27,160 --> 00:00:29,920 Speaker 1: hear that every year at the start of flu season, 5 00:00:30,360 --> 00:00:32,960 Speaker 1: and every year you might say to yourself, does it 6 00:00:33,000 --> 00:00:35,880 Speaker 1: even do anything? Is the flu shot outdated? 7 00:00:36,000 --> 00:00:38,760 Speaker 2: With this year's vaccine only protecting one in four people, 8 00:00:38,800 --> 00:00:39,440 Speaker 2: It's six to. 9 00:00:39,400 --> 00:00:40,199 Speaker 3: Eight month log time. 10 00:00:40,200 --> 00:00:41,440 Speaker 1: It's kind of like predicting the weather. 11 00:00:41,479 --> 00:00:43,680 Speaker 4: You tell people go buy a bunch of a bunch 12 00:00:43,720 --> 00:00:46,519 Speaker 4: of snow coats, and if it rains, you're in trouble. 13 00:00:46,600 --> 00:00:46,880 Speaker 1: Okay. 14 00:00:46,920 --> 00:00:49,520 Speaker 2: So the solution is what Hopkins Sciences make a better 15 00:00:49,520 --> 00:00:52,760 Speaker 2: flu shot. So if I want to avoid catching the flu, 16 00:00:52,800 --> 00:00:54,080 Speaker 2: should I take a flu shot? 17 00:00:54,200 --> 00:00:54,400 Speaker 3: Yes? 18 00:00:54,760 --> 00:01:00,080 Speaker 2: Influenza vaccination clearly protects you. It isn't a perfect vaccine. 19 00:01:00,200 --> 00:01:02,360 Speaker 2: It doesn't protect you one hundred percent, and it varies 20 00:01:02,400 --> 00:01:05,200 Speaker 2: from year to year. But the best way to avoid 21 00:01:05,240 --> 00:01:07,959 Speaker 2: influenza is to get your flu shot every year. 22 00:01:08,680 --> 00:01:11,480 Speaker 1: That hit or miss flu shot may soon be a 23 00:01:11,560 --> 00:01:16,120 Speaker 1: thing of the past. Bloomberg biotech reporter Angelica Peebles is 24 00:01:16,200 --> 00:01:19,479 Speaker 1: covering a huge push to fight flu with the same 25 00:01:19,560 --> 00:01:23,319 Speaker 1: advanced technology behind the COVID nineteen vaccine. 26 00:01:25,160 --> 00:01:25,720 Speaker 3: We've all been. 27 00:01:25,720 --> 00:01:28,400 Speaker 5: Thinking about COVID so much these past few years, but 28 00:01:28,560 --> 00:01:31,440 Speaker 5: flu is still very much a problem, and this year 29 00:01:31,480 --> 00:01:33,839 Speaker 5: we saw it come back in a big way here 30 00:01:33,880 --> 00:01:36,160 Speaker 5: in the US. I was looking at the data this 31 00:01:36,280 --> 00:01:39,319 Speaker 5: morning from the Centers for Disease Control and Prevention, and 32 00:01:39,360 --> 00:01:42,119 Speaker 5: they estimate there were twenty six to fifty million flu 33 00:01:42,240 --> 00:01:46,000 Speaker 5: cases this year alone, which of course is not great 34 00:01:46,000 --> 00:01:48,080 Speaker 5: if you're one of those people, if you're a parent 35 00:01:48,120 --> 00:01:51,440 Speaker 5: who's dealing with this. And so even though we've forgotten 36 00:01:51,440 --> 00:01:54,280 Speaker 5: about flu a little bit, it's still very much a 37 00:01:54,320 --> 00:01:57,160 Speaker 5: problem here in the US as well as around the world. 38 00:01:57,280 --> 00:01:59,440 Speaker 1: How many people actually get flu each. 39 00:01:59,360 --> 00:02:03,000 Speaker 5: Year it can vary depending on the severity. This year, 40 00:02:03,120 --> 00:02:06,279 Speaker 5: even though it came early, it was considered a pretty 41 00:02:06,320 --> 00:02:09,320 Speaker 5: normal flu year. But again, about fifty million people in 42 00:02:09,360 --> 00:02:13,239 Speaker 5: the US alone, and it can kill hundreds of thousands 43 00:02:13,280 --> 00:02:18,000 Speaker 5: of people every year. The World Health Organization estimates that 44 00:02:18,040 --> 00:02:20,799 Speaker 5: it can be about six hundred and fifty thousand people 45 00:02:20,840 --> 00:02:22,200 Speaker 5: a year die from flu. 46 00:02:22,880 --> 00:02:25,400 Speaker 1: And yet every year the flu shot comes out, a 47 00:02:25,400 --> 00:02:27,440 Speaker 1: lot of people ignore it. Sometimes you can find out 48 00:02:27,520 --> 00:02:28,640 Speaker 1: doesn't really work that well. 49 00:02:29,160 --> 00:02:32,280 Speaker 5: The flu shot is our best defense against the flu, 50 00:02:32,400 --> 00:02:36,040 Speaker 5: but unfortunately it's still not that great. This year was 51 00:02:36,120 --> 00:02:38,360 Speaker 5: a pretty good year, and it cut the risk of 52 00:02:38,400 --> 00:02:42,200 Speaker 5: hospitalizations by about half, but in some years it only 53 00:02:42,520 --> 00:02:45,640 Speaker 5: decreases your risk of getting infected with the flu by 54 00:02:45,639 --> 00:02:49,280 Speaker 5: about ten percent, and so that variability is a huge 55 00:02:49,320 --> 00:02:52,880 Speaker 5: problem that we face every year, and that unfortunately also 56 00:02:52,960 --> 00:02:55,160 Speaker 5: causes people to not want to get the flu shot. 57 00:02:55,520 --> 00:02:57,480 Speaker 3: So in the US, only about half. 58 00:02:57,320 --> 00:03:00,200 Speaker 5: Of people who are eligible get a flu shot every year, 59 00:03:00,639 --> 00:03:03,919 Speaker 5: and that's something that public health officials are fighting every year. 60 00:03:04,000 --> 00:03:07,239 Speaker 5: There's always this big push to get vaccinated, but people 61 00:03:07,280 --> 00:03:09,840 Speaker 5: have this idea that it's just the flu, and that 62 00:03:09,880 --> 00:03:11,760 Speaker 5: the flu shot isn't that great, So why should I 63 00:03:11,800 --> 00:03:12,520 Speaker 5: bother getting it? 64 00:03:13,080 --> 00:03:14,720 Speaker 1: Why isn't the flu shot that great? 65 00:03:15,000 --> 00:03:17,680 Speaker 5: There are a number of reasons why our flu shot 66 00:03:17,880 --> 00:03:20,560 Speaker 5: isn't as good as it could be. And one of 67 00:03:20,560 --> 00:03:24,040 Speaker 5: the problems is that we're using this method that's from 68 00:03:24,080 --> 00:03:27,680 Speaker 5: the nineteen thirties, and we make the flu. We grow 69 00:03:27,720 --> 00:03:31,080 Speaker 5: the virus in chicken eggs, and so it's exactly how 70 00:03:31,120 --> 00:03:34,240 Speaker 5: it sounds. You have these fertilized chicken eggs, we inject 71 00:03:34,320 --> 00:03:37,120 Speaker 5: them with the virus and it replicates in there, and 72 00:03:37,480 --> 00:03:40,360 Speaker 5: then eventually we take that and activate it and put 73 00:03:40,400 --> 00:03:42,840 Speaker 5: it in a flu shot. And the problem is that 74 00:03:43,000 --> 00:03:45,760 Speaker 5: while it's growing in the egg, the virus can adapt 75 00:03:45,880 --> 00:03:48,600 Speaker 5: to its egg environment. So, as one scientist told me, 76 00:03:48,960 --> 00:03:51,840 Speaker 5: if we were vaccinating chicken eggs, it would be perfect, 77 00:03:51,920 --> 00:03:54,760 Speaker 5: but we're vaccinating humans, and that's why it's a problem. 78 00:03:55,040 --> 00:03:57,640 Speaker 5: So the virus that we're vaccinating against can be a 79 00:03:57,680 --> 00:04:00,960 Speaker 5: little bit different than what's circulating, and that's a problem. 80 00:04:01,080 --> 00:04:04,360 Speaker 5: And also because it takes so long, it takes about 81 00:04:04,400 --> 00:04:08,360 Speaker 5: six months to make the vaccines using this method, that 82 00:04:08,400 --> 00:04:11,280 Speaker 5: we have to make the predictions so far in advance. 83 00:04:11,440 --> 00:04:15,160 Speaker 5: And the problem there is that flu isn't just the flu, 84 00:04:15,320 --> 00:04:16,560 Speaker 5: even though we think of it. 85 00:04:16,680 --> 00:04:17,719 Speaker 3: As one virus. 86 00:04:17,760 --> 00:04:20,800 Speaker 5: It's really all kinds of viruses in the same family, 87 00:04:21,360 --> 00:04:23,880 Speaker 5: and we never really know what we're going to get, 88 00:04:24,240 --> 00:04:27,760 Speaker 5: and so the World Health Organization and public health officials 89 00:04:27,800 --> 00:04:32,120 Speaker 5: around the world have to make predictions, usually six months 90 00:04:32,400 --> 00:04:36,279 Speaker 5: at least in advance of when the flu season actually starts. 91 00:04:36,720 --> 00:04:39,760 Speaker 5: And so they're making these predictions so far out about 92 00:04:39,760 --> 00:04:44,000 Speaker 5: what actually circulates, and sometimes they're wrong. Sometimes even their 93 00:04:44,000 --> 00:04:47,520 Speaker 5: best guesses miss the mark. So that the vaccine that 94 00:04:47,560 --> 00:04:51,520 Speaker 5: we're getting doesn't match what is actually circulating, and so 95 00:04:51,600 --> 00:04:55,039 Speaker 5: we're constantly behind the virus and trying to keep up 96 00:04:55,080 --> 00:04:57,279 Speaker 5: with it, and we usually aren't that great. 97 00:04:58,560 --> 00:05:01,080 Speaker 1: And what is it that the scientists have to guess? 98 00:05:01,320 --> 00:05:04,279 Speaker 5: Think of it a little bit like the covid variants, Right, 99 00:05:04,360 --> 00:05:07,400 Speaker 5: we had this one, you know, covid that we thought 100 00:05:07,400 --> 00:05:10,640 Speaker 5: of and now it's been changing. It's omicron ba one 101 00:05:10,760 --> 00:05:14,640 Speaker 5: BA four five, and so similarly, flu is changing just 102 00:05:14,800 --> 00:05:18,080 Speaker 5: ever so slightly, and they have to guess exactly which 103 00:05:18,120 --> 00:05:21,640 Speaker 5: strains will be circulating. And it's not at all a 104 00:05:21,680 --> 00:05:24,800 Speaker 5: guarantee because the viruses, as one scientist told me, the 105 00:05:24,839 --> 00:05:26,400 Speaker 5: viruses are smarter than we are. 106 00:05:26,640 --> 00:05:29,240 Speaker 1: How many eggs do they use in a flu season 107 00:05:29,320 --> 00:05:30,360 Speaker 1: to make all those doses? 108 00:05:30,680 --> 00:05:34,880 Speaker 5: We are currently making about five hundred million vaccines flu 109 00:05:34,960 --> 00:05:39,200 Speaker 5: vaccines every year, and so you're thinking about hundreds of 110 00:05:39,400 --> 00:05:43,680 Speaker 5: millions of eggs every single year to make enough flu 111 00:05:43,760 --> 00:05:47,400 Speaker 5: shots to vaccinate the world. We've asked specifically this year 112 00:05:47,480 --> 00:05:50,599 Speaker 5: about bird flu and whether that's been a problem for 113 00:05:50,640 --> 00:05:53,320 Speaker 5: the vaccine manufacturers, and what they've told us is that 114 00:05:53,360 --> 00:05:57,320 Speaker 5: these are completely separate eggs that are under different sorts 115 00:05:57,320 --> 00:06:00,839 Speaker 5: of protection and in theory immune from the problems that 116 00:06:00,880 --> 00:06:02,960 Speaker 5: we're seeing at the grocery store and that you're dealing 117 00:06:03,000 --> 00:06:04,479 Speaker 5: with when you try to buy eggs. 118 00:06:05,200 --> 00:06:08,200 Speaker 1: So to fix this problem that you describe, we now 119 00:06:08,279 --> 00:06:14,160 Speaker 1: have scientists taking a look at the mRNA technology behind 120 00:06:14,200 --> 00:06:17,360 Speaker 1: the COVID shots to use that for a flu vaccine. 121 00:06:17,880 --> 00:06:22,400 Speaker 5: Flu could be a big opportunity for mRNA, And the 122 00:06:22,480 --> 00:06:27,240 Speaker 5: idea is that mRNA proved itself so well against COVID 123 00:06:27,920 --> 00:06:31,760 Speaker 5: that flu could be the next big opportunity here. And 124 00:06:31,839 --> 00:06:35,680 Speaker 5: so Pfizer and Maderna, of course, the two COVID titans, 125 00:06:35,720 --> 00:06:38,880 Speaker 5: if you will, they are the leaders in this space 126 00:06:39,000 --> 00:06:43,200 Speaker 5: right now. They're both testing their mRNA flu shots in 127 00:06:43,360 --> 00:06:46,880 Speaker 5: late stage studies, so they should have data from their 128 00:06:47,200 --> 00:06:49,680 Speaker 5: shots as soon as this year, possibly in the next 129 00:06:49,760 --> 00:06:51,599 Speaker 5: few weeks, if not later this year. 130 00:06:51,880 --> 00:06:53,159 Speaker 3: And they're not the only ones. 131 00:06:53,600 --> 00:06:57,719 Speaker 5: The big flu shot manufacturers that are currently dominating the space, 132 00:06:57,760 --> 00:07:00,320 Speaker 5: they're also getting in this and I think that just 133 00:07:00,360 --> 00:07:04,520 Speaker 5: speaks to the excitement about mRNA as a possibility for 134 00:07:04,640 --> 00:07:05,560 Speaker 5: flu shots. 135 00:07:06,040 --> 00:07:11,600 Speaker 1: Angelicoat why is mRNA better for a vaccine than the 136 00:07:11,640 --> 00:07:13,480 Speaker 1: traditional flu vaccine We're all used. 137 00:07:13,360 --> 00:07:15,560 Speaker 5: To the thing that came up over and over in 138 00:07:15,600 --> 00:07:18,280 Speaker 5: the course of my reporting was just how much faster 139 00:07:19,040 --> 00:07:23,520 Speaker 5: mRNA technology is to make. And that is what people 140 00:07:23,600 --> 00:07:27,000 Speaker 5: see as the biggest game changer here, because right now 141 00:07:27,040 --> 00:07:30,200 Speaker 5: we're making our predictions for what will be circulating so 142 00:07:30,320 --> 00:07:34,400 Speaker 5: far in advance that we're constantly behind the virus. And 143 00:07:34,680 --> 00:07:39,800 Speaker 5: in theory, the mRNA technology could have the time between 144 00:07:40,160 --> 00:07:44,120 Speaker 5: making the prediction and actually vaccinating people, and so that 145 00:07:44,200 --> 00:07:46,960 Speaker 5: is what people are so excited about. And the reason 146 00:07:47,160 --> 00:07:50,320 Speaker 5: that it's so much faster is because right now, with 147 00:07:50,400 --> 00:07:53,680 Speaker 5: the chicken eggs, you have to grow so much virus 148 00:07:53,720 --> 00:07:57,960 Speaker 5: in these chicken eggs, and with mRNA, you don't need that. 149 00:07:58,240 --> 00:08:00,280 Speaker 5: So the way it works is that your taking a 150 00:08:00,360 --> 00:08:03,360 Speaker 5: virus that you've grown and injecting it into people and 151 00:08:03,400 --> 00:08:07,560 Speaker 5: showing your immune system this whole virus. And with mRNA, 152 00:08:08,080 --> 00:08:11,080 Speaker 5: you can teach the body to make a particular protein, 153 00:08:11,440 --> 00:08:14,480 Speaker 5: such as the spike protein and the novel coronavirus, and 154 00:08:14,840 --> 00:08:17,320 Speaker 5: if you do that, you can then get the immune 155 00:08:17,360 --> 00:08:20,440 Speaker 5: system to build a tailor made defense against a threat, 156 00:08:20,960 --> 00:08:24,800 Speaker 5: and that eliminates the need to build this virus and 157 00:08:25,160 --> 00:08:27,160 Speaker 5: you're just making it. You're using your body as a 158 00:08:27,240 --> 00:08:30,160 Speaker 5: vaccine manufacturing facility. 159 00:08:30,240 --> 00:08:33,679 Speaker 1: So how do you make an mRNA vaccine? You don't 160 00:08:33,720 --> 00:08:35,320 Speaker 1: need the chicken eggs, but they have to produce it. 161 00:08:35,360 --> 00:08:36,360 Speaker 1: How is it produced? 162 00:08:36,679 --> 00:08:39,960 Speaker 5: It's a really fascinating process and honestly one that you 163 00:08:40,000 --> 00:08:43,000 Speaker 5: need to use your imagination for. So I went to 164 00:08:43,400 --> 00:08:47,440 Speaker 5: one of Pfizer's manufacturing facilities outside of Boston, and what 165 00:08:47,559 --> 00:08:50,239 Speaker 5: struck me is that you go to this huge campus 166 00:08:50,720 --> 00:08:53,600 Speaker 5: and the rooms where they're making the mRNA are just 167 00:08:53,720 --> 00:08:54,720 Speaker 5: two little rooms. 168 00:08:55,240 --> 00:08:56,480 Speaker 3: Think of going to a brewery. 169 00:08:56,760 --> 00:08:58,880 Speaker 5: And I was actually at a brewery this past weekend 170 00:08:58,960 --> 00:09:02,960 Speaker 5: and it was bigger than what it took to make 171 00:09:03,040 --> 00:09:06,440 Speaker 5: all of this mRNA. So they only have a few tanks, 172 00:09:06,760 --> 00:09:10,520 Speaker 5: and inside the tanks they're growing all of the all 173 00:09:10,520 --> 00:09:13,920 Speaker 5: of these things called plasmids, which is basically a DNA template, 174 00:09:14,040 --> 00:09:18,160 Speaker 5: and they're growing so much material in these little containers 175 00:09:18,480 --> 00:09:22,120 Speaker 5: and a single one and ten liter batch produces enough 176 00:09:22,200 --> 00:09:25,400 Speaker 5: for twenty two million doses of a vaccine. 177 00:09:26,000 --> 00:09:29,000 Speaker 4: Yeah, so what you're looking at is our DNA production 178 00:09:29,080 --> 00:09:33,160 Speaker 4: facility as part of the COVID mRNA based vaccine. You 179 00:09:33,160 --> 00:09:35,160 Speaker 4: see a number of my folks in there. This is 180 00:09:35,160 --> 00:09:36,960 Speaker 4: probably one of the better windows we'll see on our 181 00:09:37,000 --> 00:09:39,440 Speaker 4: tour the next windows quite a bit smaller, But as 182 00:09:39,480 --> 00:09:42,319 Speaker 4: Jim said, the DNA is really the start of this process. 183 00:09:42,640 --> 00:09:45,040 Speaker 5: You walk in and you see these metal tanks like 184 00:09:45,040 --> 00:09:47,600 Speaker 5: the ones that you'd find in a brewery, and inside 185 00:09:47,679 --> 00:09:51,520 Speaker 5: those tanks they're growing tens of billions of bacteria to 186 00:09:51,600 --> 00:09:54,080 Speaker 5: help make the material for the mRNA. 187 00:09:54,640 --> 00:09:57,720 Speaker 4: So we've got really good industrial controls. We control things 188 00:09:57,760 --> 00:10:01,040 Speaker 4: like pressure, temperature, flow rates. So if you can't really 189 00:10:01,080 --> 00:10:03,120 Speaker 4: see if we have a two thousand liters per manner, 190 00:10:03,240 --> 00:10:05,480 Speaker 4: you can see some piping with some yellow labeling. These 191 00:10:05,600 --> 00:10:08,040 Speaker 4: come down and actually feed our for manter it penetrates 192 00:10:08,040 --> 00:10:10,199 Speaker 4: through the floor that you can see up in the 193 00:10:10,280 --> 00:10:10,880 Speaker 4: upper back. 194 00:10:12,320 --> 00:10:15,840 Speaker 5: So all of this is happening in these small little rooms, 195 00:10:16,200 --> 00:10:18,959 Speaker 5: and it's happening at such microscopic levels that you look 196 00:10:19,000 --> 00:10:21,240 Speaker 5: inside the rooms and you can't even see what's happening, 197 00:10:21,280 --> 00:10:25,360 Speaker 5: as opposed to going to say a chicken egg manufacturing facility, 198 00:10:25,400 --> 00:10:28,240 Speaker 5: where you would see palettes of eggs everywhere. 199 00:10:28,720 --> 00:10:31,280 Speaker 1: So using this method, they're able to make all the 200 00:10:31,360 --> 00:10:35,280 Speaker 1: various potential flu strains that might pop up in a 201 00:10:35,320 --> 00:10:37,959 Speaker 1: given year and more quickly kind of put them all 202 00:10:38,000 --> 00:10:39,959 Speaker 1: together into a single vaccine. 203 00:10:40,360 --> 00:10:43,840 Speaker 5: The way it works is that they make one strain 204 00:10:43,880 --> 00:10:46,000 Speaker 5: at a time. So, for example, when I was there 205 00:10:46,000 --> 00:10:48,240 Speaker 5: and they were walking me through the way that they've 206 00:10:48,280 --> 00:10:53,079 Speaker 5: been making their most recent boosters that contain two strains, 207 00:10:53,400 --> 00:10:55,920 Speaker 5: they make one strain at a time, They make tons 208 00:10:55,920 --> 00:10:58,280 Speaker 5: and tons of that, and then they do the next 209 00:10:58,280 --> 00:11:01,959 Speaker 5: strain and that's for cross contaminating purposes. But in theory, 210 00:11:02,000 --> 00:11:06,520 Speaker 5: with the flu shot, which typically contains four strains, they 211 00:11:06,520 --> 00:11:08,480 Speaker 5: would make one strain at a time and then you 212 00:11:08,520 --> 00:11:09,640 Speaker 5: put them all together. 213 00:11:09,880 --> 00:11:12,160 Speaker 1: And are they more effective? Do we know whether they 214 00:11:12,200 --> 00:11:15,360 Speaker 1: actually work better than the traditional flu vaccine. 215 00:11:15,480 --> 00:11:18,280 Speaker 5: We don't know yet, and that's what these big trials 216 00:11:18,320 --> 00:11:22,360 Speaker 5: are for. So Pfizer and Maderna both are testing their 217 00:11:22,559 --> 00:11:26,120 Speaker 5: mRNA flu shots in tens of thousands of people, and 218 00:11:26,559 --> 00:11:29,520 Speaker 5: we will know as soon as this month what it 219 00:11:29,520 --> 00:11:31,920 Speaker 5: will look like and whether these can truly live up 220 00:11:31,960 --> 00:11:35,440 Speaker 5: to the promise that we've all been so excited about. 221 00:11:35,760 --> 00:11:41,520 Speaker 1: And Angelica, beyond the flu vaccine itself, you write that 222 00:11:41,760 --> 00:11:44,600 Speaker 1: what these pharmaceutical companies are hoping is that they can 223 00:11:44,640 --> 00:11:50,320 Speaker 1: then bundle this mRNA flu vaccine with vaccinations for other 224 00:11:50,440 --> 00:11:51,280 Speaker 1: diseases too. 225 00:11:51,880 --> 00:11:54,880 Speaker 5: The big thing that these companies are so excited about 226 00:11:54,920 --> 00:11:59,439 Speaker 5: right now is the possibility of combining covid and flu 227 00:11:59,559 --> 00:12:03,160 Speaker 5: into one shot, because if you think about it, it's 228 00:12:03,200 --> 00:12:06,640 Speaker 5: a lot easier for people because who likes two needles? 229 00:12:06,679 --> 00:12:08,640 Speaker 5: Not that many people, so then you get it all 230 00:12:08,640 --> 00:12:11,120 Speaker 5: in one shot. And of course, if you're a COVID 231 00:12:11,160 --> 00:12:15,800 Speaker 5: vaccine maker and you're watching your sales decline precipitously, you 232 00:12:15,880 --> 00:12:20,439 Speaker 5: see flu as an opportunity to bring those sales back up. 233 00:12:20,840 --> 00:12:23,960 Speaker 5: So there's a business case here, but there's also, of 234 00:12:24,000 --> 00:12:27,199 Speaker 5: course the public health side of things that, especially as 235 00:12:27,240 --> 00:12:30,720 Speaker 5: people have lost interest in the COVID vaccines, if you 236 00:12:30,880 --> 00:12:33,199 Speaker 5: have them coming in for flu, you could then use 237 00:12:33,240 --> 00:12:35,440 Speaker 5: it as a way to get them to get the 238 00:12:35,520 --> 00:12:39,160 Speaker 5: latest covid booster. One other thing that Maderna wants to 239 00:12:39,200 --> 00:12:44,040 Speaker 5: combine with is RSV, the respiratory virus that so many 240 00:12:44,040 --> 00:12:47,160 Speaker 5: people heard about this past winter with tons and tons 241 00:12:47,200 --> 00:12:50,800 Speaker 5: of kids getting infected with it, and so Maderna recently 242 00:12:50,880 --> 00:12:54,840 Speaker 5: had positive phase through trial data for its RSV vaccine, 243 00:12:55,120 --> 00:12:58,360 Speaker 5: and assuming that flu is also positive, they could then 244 00:12:58,520 --> 00:13:02,120 Speaker 5: look to combine covid FLEW an RSB into one shot. 245 00:13:03,120 --> 00:13:06,600 Speaker 1: ANGELICAC remind us what is a phase three trial. 246 00:13:07,000 --> 00:13:10,720 Speaker 5: Phase through trial is typically the last test that a 247 00:13:10,800 --> 00:13:14,600 Speaker 5: company needs to succeed before it can seek approval from 248 00:13:14,600 --> 00:13:17,160 Speaker 5: the FDA for a new drug, and so a phase 249 00:13:17,200 --> 00:13:20,840 Speaker 5: three trial looks at both efficacy and safety for a 250 00:13:20,880 --> 00:13:21,440 Speaker 5: new drug. 251 00:13:22,040 --> 00:13:25,000 Speaker 1: So that means that these tests are getting close now 252 00:13:25,040 --> 00:13:27,160 Speaker 1: to the point where they'll be able to submit them 253 00:13:27,600 --> 00:13:30,200 Speaker 1: to the Food and Drug Administration for evaluation. 254 00:13:30,800 --> 00:13:35,240 Speaker 5: Yes, if these trials are successful, then Maderna and Pfizer 255 00:13:35,320 --> 00:13:38,600 Speaker 5: are both planning to seek approval for these vaccines. 256 00:13:39,920 --> 00:13:43,320 Speaker 1: When we come back, will people weary of COVID vaccines 257 00:13:43,400 --> 00:13:56,000 Speaker 1: and boosters line up for a new, improved flu shot? Angelica? 258 00:13:56,080 --> 00:13:59,400 Speaker 1: This new flu shot sounds promising, but do you think 259 00:13:59,400 --> 00:14:02,800 Speaker 1: people will we'll actually get it? We've obviously seen a 260 00:14:02,880 --> 00:14:06,360 Speaker 1: lot of vaccine skepticism and even many people who've got 261 00:14:06,400 --> 00:14:10,640 Speaker 1: their first COVID shots are choosing to skip the recommended boosters. 262 00:14:11,240 --> 00:14:14,240 Speaker 5: People have lost interest in the COVID vaccines for a 263 00:14:14,280 --> 00:14:17,760 Speaker 5: few reasons, but one of the biggest ones is probably 264 00:14:17,800 --> 00:14:20,680 Speaker 5: that people are still getting COVID anyway. And it's a 265 00:14:20,760 --> 00:14:23,480 Speaker 5: question that I ask the vaccine makers all the time. 266 00:14:23,800 --> 00:14:26,240 Speaker 5: You know, what would you tell people, and of course 267 00:14:26,280 --> 00:14:29,600 Speaker 5: they say, well, these vaccines are still preventing people from 268 00:14:29,600 --> 00:14:32,920 Speaker 5: getting really sick and dying, which is the most important thing. 269 00:14:33,000 --> 00:14:34,840 Speaker 5: But I don't know about you, but I talk to 270 00:14:34,840 --> 00:14:37,320 Speaker 5: people all the time, my family, my friends, and people 271 00:14:37,360 --> 00:14:40,240 Speaker 5: say well, I got COVID anyway, So these vaccines don't work, 272 00:14:40,680 --> 00:14:43,000 Speaker 5: and that's a real challenge that they're going to have 273 00:14:43,040 --> 00:14:46,520 Speaker 5: to contend with going forward, whether it's COVID or flu 274 00:14:46,560 --> 00:14:50,320 Speaker 5: if we do see that same problem, and that's partially 275 00:14:50,360 --> 00:14:53,480 Speaker 5: what's contributing to the fact that only sixteen percent of 276 00:14:53,480 --> 00:14:56,520 Speaker 5: eligible Americans opted to get the last COVID booster. 277 00:14:57,160 --> 00:15:00,640 Speaker 1: Aside from COVID, of course the flu and RSV, are 278 00:15:00,680 --> 00:15:05,280 Speaker 1: there other illnesses that are under consideration for mRNA vaccines. 279 00:15:05,800 --> 00:15:08,480 Speaker 5: One of the big ones right now that Maderna's exploring 280 00:15:08,720 --> 00:15:13,360 Speaker 5: is a personalized cancer vaccine. And this is different than 281 00:15:13,400 --> 00:15:15,320 Speaker 5: what we would think of as a vaccine. It's more 282 00:15:15,360 --> 00:15:19,040 Speaker 5: of a treatment. But they are still using mRNA technology 283 00:15:19,120 --> 00:15:24,200 Speaker 5: to enhance the potency or the effect of another cancer drug, 284 00:15:24,480 --> 00:15:28,040 Speaker 5: key Truda, and that one is really exciting right now, 285 00:15:28,120 --> 00:15:31,280 Speaker 5: and we're expecting to see more data from Maderna and 286 00:15:31,560 --> 00:15:34,800 Speaker 5: they're saying that they are ready planning to test mRNA 287 00:15:34,880 --> 00:15:37,960 Speaker 5: and all kinds of other types of cancer based on 288 00:15:38,040 --> 00:15:38,760 Speaker 5: that data. 289 00:15:38,960 --> 00:15:41,120 Speaker 1: What are these new vaccines going to cost? Are they 290 00:15:41,120 --> 00:15:43,040 Speaker 1: going to be much cheaper because they're easier to make. 291 00:15:43,560 --> 00:15:47,280 Speaker 5: The current flu vaccines cost about thirty dollars, and although 292 00:15:47,440 --> 00:15:51,640 Speaker 5: the mRNA vaccines are easier to make, it's conceivable that 293 00:15:51,680 --> 00:15:54,760 Speaker 5: they will be more expensive. So even the current flu 294 00:15:54,800 --> 00:15:59,800 Speaker 5: shot makers, when they've developed newer, more potent doses typically 295 00:15:59,840 --> 00:16:03,200 Speaker 5: use for older people, they've been more expensive. So the 296 00:16:03,560 --> 00:16:05,680 Speaker 5: high dose vaccines that are currently on the market are 297 00:16:05,680 --> 00:16:09,520 Speaker 5: about eighty five dollars, and the COVID shots Pfizer and 298 00:16:09,560 --> 00:16:13,000 Speaker 5: Maderna have both talked about pricing them at up to 299 00:16:13,120 --> 00:16:15,680 Speaker 5: one hundred and thirty dollars a shot, so you can 300 00:16:15,760 --> 00:16:18,960 Speaker 5: imagine that the flu shots would be, if not one 301 00:16:19,040 --> 00:16:22,280 Speaker 5: hundred and thirty dollars, let's say even one hundred dollars. 302 00:16:22,360 --> 00:16:26,080 Speaker 5: Of course, the companies don't talk about price until something 303 00:16:26,160 --> 00:16:29,080 Speaker 5: is on the market. That's true of all pharma companies. 304 00:16:29,120 --> 00:16:31,640 Speaker 5: They don't like to give the price until they absolutely 305 00:16:31,680 --> 00:16:34,480 Speaker 5: have to. But if you just look at where the 306 00:16:34,560 --> 00:16:37,960 Speaker 5: higher potency shots are today and their COVID vaccines. I 307 00:16:38,000 --> 00:16:40,120 Speaker 5: would think it's fair to say that these are going 308 00:16:40,200 --> 00:16:43,200 Speaker 5: to be more expensive than the typical flu shots that 309 00:16:43,280 --> 00:16:44,280 Speaker 5: most of us are getting. 310 00:16:45,880 --> 00:16:47,640 Speaker 1: And why do you think that they're going to be 311 00:16:47,680 --> 00:16:50,000 Speaker 1: more expensive? What's the rationale. 312 00:16:49,560 --> 00:16:50,800 Speaker 3: Behind that rationale? 313 00:16:50,880 --> 00:16:53,840 Speaker 5: Is that if they're more effective, then you can charge more. 314 00:16:54,040 --> 00:16:56,880 Speaker 5: And it's this kind of an interesting dynamic that you 315 00:16:56,920 --> 00:16:59,920 Speaker 5: see in every new drug product that comes to market. 316 00:17:00,160 --> 00:17:04,960 Speaker 5: But we see companies give these calculations of, well, our 317 00:17:05,080 --> 00:17:08,680 Speaker 5: vaccine is this effective and therefore will prevent this number 318 00:17:08,720 --> 00:17:11,360 Speaker 5: of people from going in the hospital, and therefore will 319 00:17:11,400 --> 00:17:13,439 Speaker 5: save the healthcare system this much money. 320 00:17:14,000 --> 00:17:16,600 Speaker 3: And so it's a lot more complicated. 321 00:17:15,960 --> 00:17:19,120 Speaker 5: Than just saying it cost us x amount to make 322 00:17:19,160 --> 00:17:21,000 Speaker 5: and therefore it will charge x price. 323 00:17:21,160 --> 00:17:22,320 Speaker 3: It's this whole. 324 00:17:22,400 --> 00:17:25,480 Speaker 5: System of this is how effective it is, and this 325 00:17:25,520 --> 00:17:28,760 Speaker 5: is how valuable it is to society, and we're going 326 00:17:28,800 --> 00:17:30,080 Speaker 5: to base our price off of it. 327 00:17:30,560 --> 00:17:34,119 Speaker 1: During COVID, of course, the government stepped in and subsidized 328 00:17:34,240 --> 00:17:36,600 Speaker 1: the price of the vaccine so people could get it 329 00:17:36,680 --> 00:17:38,679 Speaker 1: for free. Do you think that there's going to be 330 00:17:38,720 --> 00:17:42,360 Speaker 1: pressure not to charge a lot for a flu vaccine 331 00:17:42,359 --> 00:17:43,439 Speaker 1: that people need to get every. 332 00:17:43,359 --> 00:17:48,040 Speaker 5: Year based on what we've seen recently. I don't know 333 00:17:48,119 --> 00:17:50,960 Speaker 5: that the pressure will extend to the flu vaccines because 334 00:17:51,000 --> 00:17:55,679 Speaker 5: even Maderna, when the CEOs to Fan Bonzel testified before 335 00:17:56,200 --> 00:17:59,520 Speaker 5: the Senate panel a few weeks ago, he managed to 336 00:17:59,520 --> 00:18:02,399 Speaker 5: brush off a lot of the heat and made his 337 00:18:02,480 --> 00:18:06,920 Speaker 5: case that look, we are charging what is fair based 338 00:18:06,960 --> 00:18:10,479 Speaker 5: on the value that our vaccines are providing, and as 339 00:18:10,520 --> 00:18:12,400 Speaker 5: long as they can make the case that these vaccines 340 00:18:12,400 --> 00:18:15,560 Speaker 5: are truly better and help keep people out of the 341 00:18:15,600 --> 00:18:19,680 Speaker 5: hospital and save money, they're going to charge what they 342 00:18:19,680 --> 00:18:22,520 Speaker 5: think they can. But that's the big question here is 343 00:18:22,560 --> 00:18:26,560 Speaker 5: that in theory, these vaccines could be better, they could 344 00:18:26,560 --> 00:18:30,640 Speaker 5: be more efficacious, but they need to prove it. And 345 00:18:30,680 --> 00:18:33,159 Speaker 5: that's something that when I talk to analysts who are 346 00:18:33,200 --> 00:18:36,280 Speaker 5: making these predictions on how much money flu shots can make. 347 00:18:36,359 --> 00:18:39,760 Speaker 5: That's a big point of controversy, is whether they can 348 00:18:39,880 --> 00:18:42,800 Speaker 5: be better and whether they can prove that they are 349 00:18:42,920 --> 00:18:46,040 Speaker 5: worth the cost, because of course, with COVID there's nothing 350 00:18:46,080 --> 00:18:48,720 Speaker 5: else to compare them to. There are other shots that 351 00:18:48,800 --> 00:18:52,159 Speaker 5: have been approved but haven't been used that widely, and 352 00:18:52,200 --> 00:18:55,520 Speaker 5: so they dominate that market. But now they have to 353 00:18:55,520 --> 00:18:59,440 Speaker 5: come in and prove that it's worth paying more money, 354 00:18:59,520 --> 00:19:03,880 Speaker 5: especially for twenty year olds or thirty year olds for everyone, 355 00:19:04,240 --> 00:19:07,480 Speaker 5: and those higher potency shots that do cost more today, 356 00:19:08,080 --> 00:19:11,679 Speaker 5: those are typically used for the older populations, so people 357 00:19:11,680 --> 00:19:14,159 Speaker 5: who are at risk, and it's easier to make that 358 00:19:14,240 --> 00:19:17,120 Speaker 5: case now. To make the case that all of these 359 00:19:17,240 --> 00:19:21,080 Speaker 5: mRNA shots for everyone should be more expensive, they're going 360 00:19:21,119 --> 00:19:22,639 Speaker 5: to need to prove it with the data. 361 00:19:23,200 --> 00:19:25,159 Speaker 1: I suppose. Another thing that comes into play, are just 362 00:19:25,240 --> 00:19:28,040 Speaker 1: insurance companies. Are they going to be willing to bear 363 00:19:28,160 --> 00:19:30,960 Speaker 1: the extra cost or does it mean that we're all 364 00:19:31,000 --> 00:19:33,320 Speaker 1: just going to wind up observing that cost because they're 365 00:19:33,320 --> 00:19:34,280 Speaker 1: going to pass it down to us. 366 00:19:34,840 --> 00:19:35,159 Speaker 3: Yeah. 367 00:19:35,240 --> 00:19:38,800 Speaker 5: When I talk to Stefan Bonseel, the Maderna CEO, he 368 00:19:38,920 --> 00:19:42,160 Speaker 5: says that people are really interested in a better flu 369 00:19:42,200 --> 00:19:45,760 Speaker 5: shot because of the cost. Right now, that if you're 370 00:19:45,760 --> 00:19:49,480 Speaker 5: an insurer and you have tons of people going into 371 00:19:49,480 --> 00:19:52,760 Speaker 5: the hospital every year because of flu, than they are 372 00:19:53,160 --> 00:19:56,119 Speaker 5: paying all this money for the hospitalization and everything that 373 00:19:56,160 --> 00:19:58,520 Speaker 5: goes along with it, and that if you can give 374 00:19:58,560 --> 00:20:01,960 Speaker 5: them a better vaccine, then you can save all these costs. 375 00:20:02,000 --> 00:20:04,440 Speaker 5: But again, they need to prove that, and right now 376 00:20:04,480 --> 00:20:07,600 Speaker 5: it's theoretical and the only thing that's going to help 377 00:20:07,640 --> 00:20:10,159 Speaker 5: answer that is what these studies show. 378 00:20:10,800 --> 00:20:13,600 Speaker 1: After the break. How long until this better flu shot 379 00:20:13,800 --> 00:20:25,879 Speaker 1: is ready to go? Suppose the phase three trials of 380 00:20:25,920 --> 00:20:28,600 Speaker 1: these vaccines that we've been talking about go well, the 381 00:20:28,680 --> 00:20:33,040 Speaker 1: FDA evaluates it, they approve these new vaccines. How long 382 00:20:33,600 --> 00:20:37,320 Speaker 1: until we actually start seeing them where we can use them. 383 00:20:37,480 --> 00:20:39,000 Speaker 3: It could be as soon as next year. 384 00:20:39,280 --> 00:20:43,200 Speaker 5: We need to see how soon the trial data come out, 385 00:20:43,640 --> 00:20:46,320 Speaker 5: and once we have that, we'll have a better idea. 386 00:20:46,560 --> 00:20:50,800 Speaker 5: But Maderna and Pfizer, assuming they have positive results from 387 00:20:50,840 --> 00:20:54,520 Speaker 5: their studies this year, it's likely that we could see 388 00:20:54,560 --> 00:20:57,440 Speaker 5: these shots as soon as twenty twenty four. 389 00:20:57,920 --> 00:20:59,879 Speaker 1: As you said earlier, a lot of people are just 390 00:21:00,119 --> 00:21:02,840 Speaker 1: not taking the COVID vaccine anymore, a lot of people 391 00:21:02,840 --> 00:21:04,560 Speaker 1: don't get the flu vaccine. And then we've had a 392 00:21:04,560 --> 00:21:07,880 Speaker 1: lot of politics surrounding vaccines where people made all kinds 393 00:21:07,920 --> 00:21:11,159 Speaker 1: of false claims they were dangerous, or there was a 394 00:21:11,160 --> 00:21:13,400 Speaker 1: government plot. We've heard all sorts of things like that. 395 00:21:13,760 --> 00:21:16,359 Speaker 1: Do you think that this could help or possibly hurt 396 00:21:16,359 --> 00:21:18,520 Speaker 1: with the public's perception of vaccines. 397 00:21:19,119 --> 00:21:21,720 Speaker 5: It's interesting I spoke to a number of people while 398 00:21:21,720 --> 00:21:25,320 Speaker 5: I was reporting this story, vaccine scientists, people who've been 399 00:21:25,320 --> 00:21:28,399 Speaker 5: in this field for a long time, and they all 400 00:21:28,440 --> 00:21:32,679 Speaker 5: say that in some ways it's counterintuitive, but the pandemic 401 00:21:32,880 --> 00:21:39,080 Speaker 5: actually hurt perception of vaccines and it hurt the public's 402 00:21:39,160 --> 00:21:44,120 Speaker 5: willingness for immunization. And even though at the beginning, when 403 00:21:44,160 --> 00:21:46,720 Speaker 5: the shots were rolled out and this data came out 404 00:21:46,760 --> 00:21:49,840 Speaker 5: that was so amazing and people were standing in line 405 00:21:50,000 --> 00:21:54,639 Speaker 5: for hours to get vaccinated, that that enthusiasm has been. 406 00:21:54,560 --> 00:21:56,160 Speaker 3: Replaced by skepticism. 407 00:21:56,680 --> 00:22:01,760 Speaker 5: And it's unfortunate because people don't know what to do 408 00:22:01,880 --> 00:22:06,800 Speaker 5: from here, because people aren't sure how we're going to 409 00:22:06,840 --> 00:22:10,880 Speaker 5: stem that tide. And one person I spoke to, one scientist, 410 00:22:10,920 --> 00:22:13,440 Speaker 5: she was saying that you could create a perfect flu 411 00:22:13,480 --> 00:22:16,560 Speaker 5: shot or a vaccine for anything, really that was one 412 00:22:16,640 --> 00:22:19,479 Speaker 5: hundred percent perfect, but there would still be people who 413 00:22:19,560 --> 00:22:22,400 Speaker 5: wouldn't take it. And it's going to take some work 414 00:22:22,480 --> 00:22:25,120 Speaker 5: to figure out how to combat that and to get 415 00:22:25,160 --> 00:22:27,439 Speaker 5: people excited about vaccination again. 416 00:22:27,840 --> 00:22:32,040 Speaker 1: And Jockay, you are covering mRNA technology pretty closely. Where 417 00:22:32,080 --> 00:22:33,720 Speaker 1: do you think it heads from here? 418 00:22:33,760 --> 00:22:36,439 Speaker 5: When it comes to vaccines, many people will tell you 419 00:22:36,480 --> 00:22:40,120 Speaker 5: that vaccines are just the beginning for mRNA, that it's 420 00:22:40,119 --> 00:22:43,679 Speaker 5: sort of the low hanging fruit, and even Maderna. If 421 00:22:43,720 --> 00:22:47,840 Speaker 5: you look at their pipeline, they have programs not just vaccines, 422 00:22:47,840 --> 00:22:51,800 Speaker 5: but treating disease with mRNA, and so there's a lot 423 00:22:51,880 --> 00:22:56,560 Speaker 5: more outside of vaccines, but even within immunizations. Like I said, 424 00:22:57,040 --> 00:23:01,040 Speaker 5: we have cancer vaccines that are in development and other 425 00:23:01,200 --> 00:23:05,600 Speaker 5: ways to use mRNA. And so, although the pandemic really 426 00:23:05,920 --> 00:23:10,360 Speaker 5: opened people's eyes and introduced people to this field, there's 427 00:23:10,400 --> 00:23:12,680 Speaker 5: still so much more that we can do. 428 00:23:13,520 --> 00:23:17,000 Speaker 1: And jelicap Peebles, thanks for coming on the show. Thank you, 429 00:23:18,480 --> 00:23:20,520 Speaker 1: thanks for listening to us here at The Big Take. 430 00:23:20,600 --> 00:23:24,040 Speaker 1: It's a daily podcast from Bloomberg and iHeartRadio. For more 431 00:23:24,080 --> 00:23:28,240 Speaker 1: shows from iHeartRadio, visit the iHeartRadio app, Apple Podcasts, or 432 00:23:28,280 --> 00:23:31,119 Speaker 1: wherever you listen, and we'd love to hear from you. 433 00:23:31,480 --> 00:23:35,160 Speaker 1: Email us questions or comments to Big Take at Bloomberg 434 00:23:35,200 --> 00:23:38,800 Speaker 1: dot net. The supervising producer of The Big Take is 435 00:23:38,920 --> 00:23:43,800 Speaker 1: Vicky Virgalina. Our senior producer is Katherine Fink. Rebecca Shasson 436 00:23:43,960 --> 00:23:48,040 Speaker 1: is our producer. Our associate producer is Sam Gebauer. Phil 437 00:23:48,040 --> 00:23:52,000 Speaker 1: de Garcia is our engineer. Our original music was composed 438 00:23:52,040 --> 00:23:55,600 Speaker 1: by Leo Sidrin. I'm west Kasova. We'll be back tomorrow 439 00:23:55,640 --> 00:24:04,359 Speaker 1: with another big take down down Don Don Peple Barter