WEBVTT - Breakthrough, Part Two: How the Dead Are Helping the Living

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<v Speaker 1>It's the early days of the pandemic in and doctor

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<v Speaker 1>Daniel Cherto has a new patient, a twenty six year

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<v Speaker 1>old male who was hospitalized with chance pain. He did

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<v Speaker 1>not present with the typical COVID symptoms, you know, the

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<v Speaker 1>shortness of breath, for fever and all this other stuff.

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<v Speaker 1>It was justice comfort and he tested negative on on

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<v Speaker 1>multiple occasions. Dan runs the Emerging Pathogen Section at the

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<v Speaker 1>National Institutes of Health in Bethesda, Maryland, and if you're

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<v Speaker 1>a COVID case his lab, you're not there for treatment,

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<v Speaker 1>you're the subject of an autopsy. Dan and his team

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<v Speaker 1>are studying this young man as part of a big

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<v Speaker 1>emission to figure out where in the body the coronavirus goes.

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<v Speaker 1>He thinks that by tracing the virus's path and seeing

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<v Speaker 1>what it does, it can understand why it's causing disease

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<v Speaker 1>and how to stop it. Think of it like he's detective,

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<v Speaker 1>trying to collect evidence and looking for the m O

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<v Speaker 1>of a killer before it can strike again. Primary questions

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<v Speaker 1>that were I to address the initial questions are really

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<v Speaker 1>the cellular distribution of the virus across the body and

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<v Speaker 1>the brain. So, in other words, exactly where does the

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<v Speaker 1>virus go, what cell types does it back and really,

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<v Speaker 1>really importantly, how long does the virus stay there. Dan

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<v Speaker 1>and his technique to work fast to get participants like

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<v Speaker 1>his new patient. They have about twenty four hours after

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<v Speaker 1>someone has dyed to study them certain tissues to grate

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<v Speaker 1>quickly after death, destroying the evidence. Getting these patients in

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<v Speaker 1>that time has become a massive logistical undertaking. They first

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<v Speaker 1>talked to the family to get their approval. From there,

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<v Speaker 1>they make arrangements with a funeral home to transport the

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<v Speaker 1>remains to the NIH Clinical Center and Bethesda at least

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<v Speaker 1>set up a call schedule where I might hear about

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<v Speaker 1>these cases. At two o'clock in the morning, communicate with

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<v Speaker 1>our amazing, amazing admissions department, who would facilitate our contract

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<v Speaker 1>funel home and going out in the middle of the

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<v Speaker 1>night bringing bodies here so that my team would be

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<v Speaker 1>suited up. At nine o'clock in the morning on this

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<v Speaker 1>spring day in twenty Dan and his team are in

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<v Speaker 1>a secure along chamber wearing astronaut and spied protective gear

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<v Speaker 1>as they examine their new patient. The man died at

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<v Speaker 1>the hospital and tests were negative for the coronavirus, so

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<v Speaker 1>he doesn't fit the definition of a COVID related fatality. Instead,

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<v Speaker 1>he died of something called viral myokiditis or inflammation of

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<v Speaker 1>the heart muscle. But dances there was a reason he

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<v Speaker 1>still wanted to study him. And at that time you

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<v Speaker 1>probably remembered there were a number of reports in the literature,

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<v Speaker 1>and there were some articles coming out and of imaging

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<v Speaker 1>of the hard and some autopsies, you know, and but

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<v Speaker 1>case reports of viral mild cardiitis being an unusual but

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<v Speaker 1>but present complication of COVID. As they examine his body

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<v Speaker 1>and heart, Dan says there's good evidence COVID is the culprit.

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<v Speaker 1>Not only that the patient offers clues about another condition

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<v Speaker 1>link to the coronavirus. It's called multi system inflammatory syndrome.

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<v Speaker 1>It occurs mostly in children after a saska v TO infection,

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<v Speaker 1>but it's been reported in adults as well. Dan says

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<v Speaker 1>it's a condition that can arise unexpectedly after a mild

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<v Speaker 1>case of COVID. They show up later with sometimes life

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<v Speaker 1>threatening inflammation in different oregans. So in a way he

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<v Speaker 1>fits into that category. And so well, what's driving and

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<v Speaker 1>that is the point of Dan's work performing these autopsies

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<v Speaker 1>is like recreating police sketches and more and more detail.

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<v Speaker 1>With every autopsy, the picture gets clearer of what COVID

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<v Speaker 1>is capable of doing across our bodies and what impact

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<v Speaker 1>it may have on them in the long run. Is

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<v Speaker 1>there going to be, you know, some low level or

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<v Speaker 1>subclinical injury to your heart that then may manifest differently

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<v Speaker 1>later in life. I don't know. Is there going to

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<v Speaker 1>be some subclinical effect on your brain that are going

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<v Speaker 1>to cause nerve cognitive issues later in life that perhaps

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<v Speaker 1>are not immediately noticeable or detectable. If you're going to

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<v Speaker 1>begin to conceive of ways to prevent or treat those manifestations,

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<v Speaker 1>either in the group that the next group that might

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<v Speaker 1>be exposed or among the group that are suffering, you,

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<v Speaker 1>you need to understand mechanism. You need to understand what

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<v Speaker 1>the drivers are. But this work has a long way

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<v Speaker 1>to go. Scientists like Dan are just starting to learn

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<v Speaker 1>the biological means by which siskov two managers to affect

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<v Speaker 1>virtually every organ system in the body. Those infected and

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<v Speaker 1>experience symptoms lasting months and potentially years. The condition is

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<v Speaker 1>called long covid, and Dan's research could help us understand

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<v Speaker 1>how to better combat it. But science is an iterative process.

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<v Speaker 1>New information or clues have to be checked and validated

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<v Speaker 1>before they're accepted as proof, and right now there's a

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<v Speaker 1>ton of information but not a lot of admissible evidence.

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<v Speaker 1>Conflicting theories have popped up over the last year and

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<v Speaker 1>a half, which only shows how much more fact gathering

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<v Speaker 1>needs to be done and resources for critical research like

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<v Speaker 1>autopsies that help us understand new diseases have been stretched

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<v Speaker 1>in It means disease detectives have fewer tools to use

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<v Speaker 1>in that pursuit of the killer. I'm not here to

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<v Speaker 1>service of fear manger. I mean that's not that's not much.

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<v Speaker 1>It's just that these are some under answered questions. I'm

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<v Speaker 1>Jason Gale, chief biosecurity correspondent and a senior editor at

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<v Speaker 1>Bloomberg News. From the Prognosis podcast. This is breakthrough. Pathology

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<v Speaker 1>is one of the sort of fundamental building blocks of medicine.

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<v Speaker 1>This is Dr Linda Isles. She's the head of Forensic

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<v Speaker 1>Pathology Services at the Victorian Institute of Forensic Medicine. It's

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<v Speaker 1>like a medical examiner's office, but this one in Melbourne

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<v Speaker 1>is the largest of its kind in Australia. Linda is

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<v Speaker 1>as heat bespectacled woman with short, salt and pepper hair.

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<v Speaker 1>She finished medical school at the University of Tasmania more

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<v Speaker 1>than twenty years ago and then went on to train

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<v Speaker 1>in anatomical pathology. She estimates she probably did two hundred

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<v Speaker 1>three d autopsies during her training, which if you compare

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<v Speaker 1>that to kind of really old school back in the day,

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<v Speaker 1>then that might not seem like very many. But if

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<v Speaker 1>you compare that to anaton called pathology trainees now, then

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<v Speaker 1>that is a very large amount. These days, pathology trainees

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<v Speaker 1>aren't even required to do autopsies. Fundamentally, autopsies are expensive procedures.

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<v Speaker 1>I think autopsies have been slightly undervalued by clinicians over

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<v Speaker 1>a number of years, even decades perhaps, and as less

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<v Speaker 1>autopsies are requested, less pathologists have experience with autopsies. This

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<v Speaker 1>points to a big problem happening in modern medicine. Autopsies

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<v Speaker 1>have been the bedrock of medical science since at least

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<v Speaker 1>the fifteen hundreds, but today sophisticated imaging and other modern

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<v Speaker 1>diagnostic tools and hospital cost cutting have turned them into

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<v Speaker 1>a dying science. Linda says there are a few reasons

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<v Speaker 1>why autopsies have started to go out of style. One

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<v Speaker 1>of them is that facilities are expensive to maintain at

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<v Speaker 1>a safe standard. So it's this spiral of decreased experience

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<v Speaker 1>and therefore decreasing confidence and then under utilization of the

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<v Speaker 1>facilities to some of the facilities essentially being mothballed, and

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<v Speaker 1>then when you want to reinstat to them, then they're

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<v Speaker 1>no longer really safe for modern practice. So it's sort

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<v Speaker 1>of like this catch twenty two, and now we really

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<v Speaker 1>left with the generation of pathologists that have really quite

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<v Speaker 1>limited autopsy experience, and therefore their confidence in performing autopsies

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<v Speaker 1>safely is significantly diminished. This lack of expertise was only

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<v Speaker 1>exacerbated during the pandemic. In the first few months of

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<v Speaker 1>the outbreak, health authorities warned that doctors would become infected

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<v Speaker 1>while performing autopsies and handling virus laden tissues. That led

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<v Speaker 1>to half of these units shutting down. In the US,

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<v Speaker 1>the same sort of scenario played out across the world.

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<v Speaker 1>In Germany, initially it was like, no, we will definitely

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<v Speaker 1>not autopsy these COVID patients, and then a bunch of

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<v Speaker 1>pathologist said no, we have to do this. Because this

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<v Speaker 1>is a new disease process. And then they just did

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<v Speaker 1>a complete switchero and funded the autopsy program, which is

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<v Speaker 1>where a lot of the really valuable data has actually

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<v Speaker 1>come out of Among the first four million fatal COVID

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<v Speaker 1>cases worldwide, only several hundred were autopsied and the findings

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<v Speaker 1>reported in medical journals. That delayed getting answers to some

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<v Speaker 1>crucial questions about COVID nineteen and its effects in the body.

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<v Speaker 1>The good news is that detailed post mortem investigations are

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<v Speaker 1>picking up now. Linda says this could also bring greater

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<v Speaker 1>awareness the value of autopsy research, whether it's just going

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<v Speaker 1>to be a sort of short term thing or whether

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<v Speaker 1>it's going to translate into something kind of more meaningful.

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<v Speaker 1>I mean, I can only hope that it's going to

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<v Speaker 1>be the ladder. But you know this, the idea that

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<v Speaker 1>novel infectious diseases are a thing of the past is

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<v Speaker 1>you know. I think this has kind of brought this

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<v Speaker 1>certainly front and center for people. Not all doctors waited

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<v Speaker 1>so long before returning to autopsies. Disease detectives like Dancerto

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<v Speaker 1>accepted the risk early on in the pursuit of answers.

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<v Speaker 1>Most of the SHOTS team he's made up of trainees,

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<v Speaker 1>and at the start of the pandemic, he wanted to

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<v Speaker 1>give them the chance to contribute from home if they

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<v Speaker 1>felt more comfortable working that way. I said, we're an

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<v Speaker 1>emerging pathoge in his lab, like there's a pandemic. If

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<v Speaker 1>you want to work remotely, that's okay. But for those

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<v Speaker 1>of you that want to be present on SAITE, these

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<v Speaker 1>are the things we're going to be focusing on. Selectives

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<v Speaker 1>stick around and with rare exception, you know, everybody's like

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<v Speaker 1>we're on deck. Dan himself is used to working in

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<v Speaker 1>dangerous environments. He was in Liberia during the Ebola crisis,

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<v Speaker 1>caring for patients and later studying the virus. Before that,

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<v Speaker 1>he worked on the nineteen eighteen Spanish flu pandemic virus.

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<v Speaker 1>His experience provided a grounding in bio safety that's carried

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<v Speaker 1>through to his personal life. Dan says he takes precautions

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<v Speaker 1>like wearing a face mask when he can't physically distance

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<v Speaker 1>to prevent getting SANSKOVI two. I'm not a risk averse person.

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<v Speaker 1>I'm a believer in calculated and controlled risk, right, but

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<v Speaker 1>I know that my absolute preference for myself, my family,

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<v Speaker 1>my loved ones, my colleagues, my kids. I got an

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<v Speaker 1>eight year old and a twelve year old, my preferences

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<v Speaker 1>for them not to be infected. Dan says he applied

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<v Speaker 1>one hey and I was learned from the Ebola outbreak

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<v Speaker 1>to understanding kinvid nineteen. It started with this idea that

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<v Speaker 1>first we gotta go find where this virus is going,

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<v Speaker 1>what it's doing in those places, and then we got

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<v Speaker 1>to try to link it back to what we're seeing

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<v Speaker 1>clinically and what is coming out with volumes and volumes

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<v Speaker 1>of evidence that we're all struggling to assimilate and trying

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<v Speaker 1>to put those pieces together to to tell a cohesive

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<v Speaker 1>story about the mechanisms that are contributing to severe acute illness,

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<v Speaker 1>to some mild or asymptomatic disease and others, and in

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<v Speaker 1>a reasonable portion of the popular sation of survivors long

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<v Speaker 1>term symptoms that are really distressing. Dan and his group

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<v Speaker 1>are also trying to figure out how the virus and

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<v Speaker 1>the body interact, which is another way of saying, in

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<v Speaker 1>all those locations that you found evidence of RUS, what

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<v Speaker 1>was the body's response. Is there an infiltration of immune

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<v Speaker 1>cells even in the absence of immune cells, is their

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<v Speaker 1>evidence of damage within those tissues or organs, etcetera, etcetera.

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<v Speaker 1>To begin to better understand that relationship between the virus

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<v Speaker 1>and the host the host response. The more you understand

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<v Speaker 1>that relationship, theoretically, the better equip you will be to

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<v Speaker 1>design therapies and interventions that might mitigate aspects of the

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<v Speaker 1>disease course. These postmoneum exams do carry risk, but the

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<v Speaker 1>pathologists from the National Cancer Institute actually performing the autopsies

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<v Speaker 1>have decades of experience. These are the gentlemen of physicians

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<v Speaker 1>and their trainees that that we're here doing autopsies during

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<v Speaker 1>the AIDS era, and these guys were in there doing

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<v Speaker 1>autopsies on hundreds of patients with this new disease, HIV AIDS.

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<v Speaker 1>So we have now the benefit of working with that

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<v Speaker 1>group here now decades later, lots of experience. These aren't

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<v Speaker 1>typical autopsies though they're done over three hours in a

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<v Speaker 1>secure facility. That's required for work involving microbes that can

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<v Speaker 1>cause serious and potentially lethal disease. So our group, the

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<v Speaker 1>pathologists they design home design a grain box, which is

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<v Speaker 1>basically plexiglass with a glove it's like a glove box.

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<v Speaker 1>Bio Engineers on the NIH campus custom build an enclosure

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<v Speaker 1>that fits over the head and shoulders of the deceased

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<v Speaker 1>to contain aerosols when the brain is removed, to cut

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<v Speaker 1>through the skulls. A little bit morbid, but there's aerosolization, right,

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<v Speaker 1>So you don't want to overly contaminate the environment. So

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<v Speaker 1>implementing this thing and working, and this takes some time.

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<v Speaker 1>The seven also doctors, scientists, and technicians working inside the

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<v Speaker 1>autopsy suite, where multiple layers of personal protective equipment, usually

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<v Speaker 1>a plastic apron over a surgical gown, over an impermeable cover,

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<v Speaker 1>all over surgical scrubs. Sometimes arm sleeve protectors are worn.

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<v Speaker 1>They also donned three pairs of gloves and two pairs

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<v Speaker 1>of shoe coverings, and instead of ninety five masks. They're

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<v Speaker 1>breathing through controlled air purifying respirators, which provide heaper filtered

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<v Speaker 1>air under a hood that fits over the head and shoulders.

0:14:28.760 --> 0:14:31.960
<v Speaker 1>It's cumbersome, but it's not the only aspect of these

0:14:31.960 --> 0:14:37.040
<v Speaker 1>COVID autopsies that makes the work painstaking. We're sampling way

0:14:37.080 --> 0:14:38.600
<v Speaker 1>above in the yard. What has done in any sort

0:14:38.640 --> 0:14:43.120
<v Speaker 1>of diffical We sampled almost a hundred different regions within

0:14:43.160 --> 0:14:45.800
<v Speaker 1>the body across the whole body and brings a hundred

0:14:45.840 --> 0:14:49.120
<v Speaker 1>different areas. And for each one of those areas, we

0:14:49.280 --> 0:14:53.400
<v Speaker 1>collected and preserved adjacent pieces of tissue in different ways

0:14:53.560 --> 0:14:57.360
<v Speaker 1>that are amenable to various down stream analysis that preserve

0:14:57.440 --> 0:15:00.760
<v Speaker 1>the tissues in a better way. It's a ton of

0:15:00.800 --> 0:15:04.520
<v Speaker 1>time and energy to analyze these samples, but time is important.

0:15:05.040 --> 0:15:07.520
<v Speaker 1>The first cases of long COVID happened over a year

0:15:07.520 --> 0:15:11.280
<v Speaker 1>and a half ago, and only more developing. The sooner

0:15:11.320 --> 0:15:14.600
<v Speaker 1>we get results from autopsies like Dan's, the Sinner will

0:15:14.640 --> 0:15:17.480
<v Speaker 1>begin to address the long term effects of COVID nineteen.

0:15:18.160 --> 0:15:20.600
<v Speaker 1>Dan's are research will not only help us understand what

0:15:20.640 --> 0:15:33.120
<v Speaker 1>the courses are, but how to counter them. There are

0:15:33.120 --> 0:15:35.480
<v Speaker 1>many theories on white people continue to suffer from a

0:15:35.560 --> 0:15:39.880
<v Speaker 1>multitude of symptoms long after a coronavirus infection. Some are

0:15:40.000 --> 0:15:44.400
<v Speaker 1>easy to explain, others are a mystery. For example, it's

0:15:44.440 --> 0:15:46.800
<v Speaker 1>known that if COVID gave you a severe case of pneumonia,

0:15:47.160 --> 0:15:50.119
<v Speaker 1>your lungs could have scarring that might reduce lung capacity.

0:15:50.720 --> 0:15:54.680
<v Speaker 1>That's an unfortunate consequence of acute respiratory distress syndrome that

0:15:54.760 --> 0:15:57.960
<v Speaker 1>can also occur with the flu. If you were unlucky

0:15:58.040 --> 0:16:01.360
<v Speaker 1>enough to need intensive care, that slinked to muscle weakness,

0:16:01.520 --> 0:16:04.840
<v Speaker 1>memory problems, and a raft of other conditions referred to

0:16:04.880 --> 0:16:08.400
<v Speaker 1>as post intensive care syndrome. And if you were really

0:16:08.480 --> 0:16:13.400
<v Speaker 1>unfortunate and needed mechanical ventilation that's long been associated with

0:16:13.480 --> 0:16:17.720
<v Speaker 1>post traumatic stress disorder. But these aren't the problems baffling

0:16:17.760 --> 0:16:22.360
<v Speaker 1>doctors and researchers. The biggest surprise of COVID is that

0:16:22.920 --> 0:16:26.640
<v Speaker 1>people who are not in the intensive care unit, people

0:16:26.760 --> 0:16:30.040
<v Speaker 1>actually who are never needed to be hospitalized, are still

0:16:30.080 --> 0:16:34.560
<v Speaker 1>having persistent symptoms. This is Dr Walter Kaschatz, who we

0:16:34.680 --> 0:16:37.640
<v Speaker 1>heard from in our last episode. He heads the National

0:16:37.720 --> 0:16:41.600
<v Speaker 1>Institute of Neurological Disorders and Stroke and Bethesda. Walter says

0:16:41.760 --> 0:16:45.320
<v Speaker 1>it's this group of patients, the ones with unexplained fatigue,

0:16:45.600 --> 0:16:49.240
<v Speaker 1>brain fog, weird heart palpitations, and body aches and pains,

0:16:49.320 --> 0:16:52.720
<v Speaker 1>who also represent the largest pool of patients who are

0:16:52.760 --> 0:16:57.040
<v Speaker 1>persistently unwell as a result of the pandemic. The long

0:16:57.160 --> 0:17:02.680
<v Speaker 1>COVID have fatigue. That's the primary, very complaining factor. That's

0:17:02.680 --> 0:17:05.680
<v Speaker 1>true about the post ice use cases, as well, fatigue

0:17:06.000 --> 0:17:10.440
<v Speaker 1>is a major problem, but the long COVID symptom complex

0:17:10.680 --> 0:17:15.800
<v Speaker 1>of fatigue, trouble with memory, travel with thinking quickly, executive function,

0:17:16.760 --> 0:17:23.960
<v Speaker 1>trouble as sleep pain syndromes sometimes, and exercise and tolerance.

0:17:24.720 --> 0:17:28.920
<v Speaker 1>Those are the features of this syndrome that we don't

0:17:28.960 --> 0:17:33.600
<v Speaker 1>have good explanations for at this point. In some ways,

0:17:33.680 --> 0:17:37.160
<v Speaker 1>the disease pattern many long COVID suffers experience resembles mono

0:17:37.680 --> 0:17:41.880
<v Speaker 1>or infectious mononucleosis. It's called glandular fever where I am

0:17:41.920 --> 0:17:44.600
<v Speaker 1>in Australia, and some people refer to it as the

0:17:44.680 --> 0:17:48.240
<v Speaker 1>kissing disease, possibly because it's spread through saliva and often

0:17:48.240 --> 0:17:52.880
<v Speaker 1>occurs in teenagers. The culprit is usually the epstein bea virus.

0:17:53.080 --> 0:17:56.080
<v Speaker 1>It can cause fever, swollen glands in the neck and armpits,

0:17:56.280 --> 0:17:59.359
<v Speaker 1>and a sore throat. Most cases of mono were mild

0:17:59.400 --> 0:18:01.800
<v Speaker 1>and resol of in their own in one to two months,

0:18:01.840 --> 0:18:06.000
<v Speaker 1>but Waltera says that's not always the case with infectious

0:18:06.000 --> 0:18:10.040
<v Speaker 1>mono nucleosis. There is another syndrome which you've probably heard

0:18:10.040 --> 0:18:15.160
<v Speaker 1>about well, realogic can cephalomi elitis chronic critique syndrome and

0:18:15.560 --> 0:18:20.080
<v Speaker 1>symptoms are very overlapping between what long COVID folks are

0:18:20.119 --> 0:18:24.400
<v Speaker 1>complaining of and what happens in NBCFS. It's just that

0:18:25.080 --> 0:18:28.960
<v Speaker 1>MBCFS has a six month period. You have to had

0:18:28.960 --> 0:18:32.160
<v Speaker 1>those symptoms for six months, But it looks like people

0:18:32.200 --> 0:18:36.399
<v Speaker 1>are moving into that space. Waltera says. Researchers have been

0:18:36.440 --> 0:18:39.320
<v Speaker 1>trying for years to figure out the causative driver of

0:18:39.400 --> 0:18:42.879
<v Speaker 1>that longer term illness after infectious morning. Now with the

0:18:42.960 --> 0:18:47.480
<v Speaker 1>thirty four million people with COVID, it's a tremendous challenge

0:18:47.560 --> 0:18:49.359
<v Speaker 1>now that we have to take up to try to

0:18:49.440 --> 0:18:53.280
<v Speaker 1>figure that out. There is now a greater chance that

0:18:53.320 --> 0:18:57.199
<v Speaker 1>we're going to figure it out now because we have

0:18:57.320 --> 0:19:00.920
<v Speaker 1>this opportunity to study so many people and to try

0:19:00.920 --> 0:19:05.960
<v Speaker 1>and understand what differentiates those who get better quickly versus

0:19:05.960 --> 0:19:10.080
<v Speaker 1>those who have these persistent symptoms. So the hope is that,

0:19:10.240 --> 0:19:13.639
<v Speaker 1>you know, we can get some answers that would allow

0:19:13.760 --> 0:19:17.960
<v Speaker 1>us to try different treatments to see what helps and

0:19:18.000 --> 0:19:24.600
<v Speaker 1>then potentially also learns something about what causes NBCFS as well.

0:19:25.119 --> 0:19:28.200
<v Speaker 1>Congress is giving the National Institutes of Health one point

0:19:28.280 --> 0:19:32.080
<v Speaker 1>one five billion dollars over four years to find answers

0:19:32.920 --> 0:19:36.160
<v Speaker 1>Ault along with Dr Anthony Felchi from the National Institute

0:19:36.160 --> 0:19:39.479
<v Speaker 1>of Allergy and Infectious Diseases and Dr Gary Gimmons from

0:19:39.520 --> 0:19:43.600
<v Speaker 1>the National Heart Institute are co directing the research. There's

0:19:43.600 --> 0:19:46.240
<v Speaker 1>a clinical team, that's an autopsy team, that the electronic

0:19:46.320 --> 0:19:50.960
<v Speaker 1>health record team, I know, there's a big data team,

0:19:51.000 --> 0:19:53.600
<v Speaker 1>and there's probably a couple of others, So there's I

0:19:53.640 --> 0:19:56.919
<v Speaker 1>think the estimate was three hundred people have been working

0:19:56.960 --> 0:20:01.320
<v Speaker 1>on this project since November. The amount of money Congress

0:20:01.320 --> 0:20:04.200
<v Speaker 1>has set aside to study long COVID seems a lot,

0:20:04.400 --> 0:20:06.919
<v Speaker 1>but it pales compared with the trillions of dollars the

0:20:06.960 --> 0:20:10.600
<v Speaker 1>pandemic has cost already and the economic toller will have

0:20:10.720 --> 0:20:14.240
<v Speaker 1>decades into the future. Some estimates suggest that more than

0:20:14.359 --> 0:20:17.119
<v Speaker 1>one billion people around the world have been infected with

0:20:17.119 --> 0:20:20.720
<v Speaker 1>the coronavirus. We don't know yet what proportion of them

0:20:20.720 --> 0:20:23.920
<v Speaker 1>will develop long COVID or the duration of their symptoms.

0:20:24.600 --> 0:20:27.439
<v Speaker 1>My gut feeling is that you're probably close to a

0:20:27.520 --> 0:20:30.480
<v Speaker 1>ten percent figuring out about six months out. This is

0:20:30.600 --> 0:20:33.960
<v Speaker 1>Dr RV. Nath He's the clinical director at the National

0:20:34.000 --> 0:20:38.480
<v Speaker 1>Institute of Neurological Disorders and Stroke. The one waterheads people

0:20:38.520 --> 0:20:41.119
<v Speaker 1>do recover or a period of flame on spontaneous people.

0:20:41.400 --> 0:20:43.800
<v Speaker 1>But most often if you're not better by six months,

0:20:43.960 --> 0:20:48.120
<v Speaker 1>then the chances of getting better are become really less. Obviously,

0:20:48.119 --> 0:20:53.280
<v Speaker 1>says the impact on individuals, families, and societies will be

0:20:54.960 --> 0:20:56.840
<v Speaker 1>I mean, nobody's gonna do with the calculations for you,

0:20:58.240 --> 0:21:01.080
<v Speaker 1>but it's a dream on society to get every single level.

0:21:01.119 --> 0:21:03.800
<v Speaker 1>I mean, it affects women more than then. It affects

0:21:03.920 --> 0:21:07.240
<v Speaker 1>people and their average ages forty that's the most productive

0:21:07.320 --> 0:21:10.600
<v Speaker 1>years of your life. And so you can see that

0:21:11.040 --> 0:21:15.600
<v Speaker 1>the impact worldwide impact of this is unbelievable. You couldn't

0:21:15.640 --> 0:21:20.760
<v Speaker 1>translate it to money. The impact is I mean the

0:21:20.800 --> 0:21:25.200
<v Speaker 1>economic toll, the psychological toll. Every aspect of society is

0:21:25.240 --> 0:21:29.679
<v Speaker 1>kind of touched. It's why figuring out the cause and

0:21:29.760 --> 0:21:34.360
<v Speaker 1>waste to treat and prevent long COVID are so critically important. Obviously,

0:21:34.600 --> 0:21:38.320
<v Speaker 1>there could be two main driving forces behind the clinical manifestations.

0:21:38.800 --> 0:21:41.560
<v Speaker 1>One is that the coronavirus manages to persist in the

0:21:41.600 --> 0:21:46.200
<v Speaker 1>body somewhere somehow, and that it's lingering presence is damaging

0:21:46.200 --> 0:21:50.200
<v Speaker 1>the body directly, or it's triggering an immune response that's

0:21:50.240 --> 0:21:54.800
<v Speaker 1>causing the damage. Another hypothesis is that the coronavirus has

0:21:54.800 --> 0:21:58.920
<v Speaker 1>sent the immune system haywire, and it's this disregulated immune

0:21:58.920 --> 0:22:03.640
<v Speaker 1>response that's drive long COVID. I think they're all reasonable hypotheses,

0:22:03.720 --> 0:22:07.600
<v Speaker 1>but they're not exclusive. They could be interrelated. Have He's

0:22:07.680 --> 0:22:11.640
<v Speaker 1>been researching chronic fatigue for years and now he's also

0:22:11.680 --> 0:22:15.000
<v Speaker 1>trying to understand it as well as other elements in

0:22:15.080 --> 0:22:18.960
<v Speaker 1>long COVID patients. One of the interesting features about this

0:22:19.080 --> 0:22:21.600
<v Speaker 1>illness is that if you look at it, the people

0:22:21.600 --> 0:22:24.479
<v Speaker 1>who had were these long haul symptoms are often not

0:22:24.560 --> 0:22:27.200
<v Speaker 1>the individuals who are hospitalized and we're sicking on and

0:22:27.280 --> 0:22:30.560
<v Speaker 1>went later and stuff like that. These are individuals who actually,

0:22:30.640 --> 0:22:33.120
<v Speaker 1>most often they never went to the hospital. They were

0:22:33.160 --> 0:22:37.200
<v Speaker 1>at home and during that time they had relatively mild

0:22:37.240 --> 0:22:41.280
<v Speaker 1>illness in the acute phase and they recovered from it. Obviously,

0:22:41.280 --> 0:22:43.480
<v Speaker 1>says that the people who were sick enough to require

0:22:43.560 --> 0:22:47.840
<v Speaker 1>hospitalization probably mounted a strong immune response that helped them

0:22:47.880 --> 0:22:52.280
<v Speaker 1>to eventually recover and importantly get rid of the virus.

0:22:52.520 --> 0:22:55.840
<v Speaker 1>But if you had a mild illness, perhaps you never

0:22:55.920 --> 0:22:59.439
<v Speaker 1>mounted a strong enough immune response. You thought, oh, you know,

0:22:59.520 --> 0:23:02.280
<v Speaker 1>I escaped, but in reality you've never got rid of

0:23:02.280 --> 0:23:06.159
<v Speaker 1>the virus. Viruses can remain in their infectious form and

0:23:06.200 --> 0:23:09.359
<v Speaker 1>a range of diseases from AIDS to chicken box to

0:23:09.480 --> 0:23:13.160
<v Speaker 1>a bowler. Some sortists say that the coronavirus may cause

0:23:13.200 --> 0:23:15.640
<v Speaker 1>a persistent infection in places like the gas and wind,

0:23:15.680 --> 0:23:19.920
<v Speaker 1>testinal tract, and the nose, but there's no consensus among

0:23:20.000 --> 0:23:25.040
<v Speaker 1>scientists that that's the case, obviously, says Another possibility is

0:23:25.080 --> 0:23:28.600
<v Speaker 1>that what's persisting are viral particles. They may not be

0:23:28.600 --> 0:23:32.840
<v Speaker 1>completely replicating, butter instead expressing some features of the virus.

0:23:34.040 --> 0:23:36.320
<v Speaker 1>Now what the body is going to see it as

0:23:36.359 --> 0:23:38.119
<v Speaker 1>a foreign object, is going to try to mount an

0:23:38.119 --> 0:23:42.320
<v Speaker 1>immune response against. So you've got this conic immune activation

0:23:42.400 --> 0:23:44.960
<v Speaker 1>that persists in these individuals, but it's never good enough

0:23:45.000 --> 0:23:46.480
<v Speaker 1>to get rid of it because they never got river

0:23:46.520 --> 0:23:48.840
<v Speaker 1>in the first place, but it's enough to start causing

0:23:48.840 --> 0:23:53.199
<v Speaker 1>collateral damage. Obviously, the same pattern of immune activation and

0:23:53.200 --> 0:23:57.520
<v Speaker 1>exhaustion in chronic fatigue or m ec effast patients. They

0:23:57.560 --> 0:24:00.639
<v Speaker 1>look very much like these long hold COVID patients, and

0:24:00.720 --> 0:24:02.800
<v Speaker 1>they had the similar problems. They usually start off with

0:24:02.960 --> 0:24:05.760
<v Speaker 1>some violent infection, then they had cover from it, and

0:24:05.760 --> 0:24:09.560
<v Speaker 1>then this thing persists. Whatever. The field of researchers working

0:24:09.560 --> 0:24:13.520
<v Speaker 1>to unravel COVID's mysteries is growing, and it's bringing in

0:24:13.640 --> 0:24:19.919
<v Speaker 1>expertise from all kinds of areas neurology, cardiology, horminology, and

0:24:20.040 --> 0:24:31.680
<v Speaker 1>infectious diseases that includes HIV. Medicine Professor Steve Deetz has

0:24:31.720 --> 0:24:35.560
<v Speaker 1>been researching a cure for HIV for almost thirty years

0:24:35.600 --> 0:24:40.120
<v Speaker 1>at the University of California, San Francisco. When the pandemic hit,

0:24:40.520 --> 0:24:43.520
<v Speaker 1>Steve took notice. We had no idea what was going

0:24:43.560 --> 0:24:45.280
<v Speaker 1>to go on with Sariskoby too, but we knew it

0:24:45.280 --> 0:24:47.440
<v Speaker 1>was a big deal, and we had a good sense

0:24:47.480 --> 0:24:50.800
<v Speaker 1>that they're probably going to be some long term content places.

0:24:50.840 --> 0:24:54.840
<v Speaker 1>Everybody was focused on short term. Steve began enrolling patients

0:24:54.960 --> 0:24:58.879
<v Speaker 1>in a study aimed at identifying how saskov two affects

0:24:59.040 --> 0:25:03.000
<v Speaker 1>long term health. Subset have long COVID and some don't,

0:25:03.560 --> 0:25:06.040
<v Speaker 1>and we're beginning to do the biology. And one of

0:25:06.040 --> 0:25:10.000
<v Speaker 1>our leading hypotheses is that the virus does persist in

0:25:10.080 --> 0:25:14.400
<v Speaker 1>some people for some reason, and that that persistent virus

0:25:14.480 --> 0:25:17.960
<v Speaker 1>initiates an inflammatory process. At the heart of all this

0:25:18.040 --> 0:25:22.320
<v Speaker 1>has always been the concern that there is something that

0:25:22.440 --> 0:25:27.480
<v Speaker 1>persists and stimulates that a normal response. Steve thinks the

0:25:27.520 --> 0:25:31.920
<v Speaker 1>coronavirus might be leaving traces behind. It could be viral protein,

0:25:32.440 --> 0:25:36.320
<v Speaker 1>strands of its genetic material, or even bits of antigen

0:25:36.480 --> 0:25:40.000
<v Speaker 1>that the immune system responds to. We don't think it's

0:25:40.080 --> 0:25:42.680
<v Speaker 1>virus replication, but I guess it could be virus that's

0:25:42.720 --> 0:25:46.360
<v Speaker 1>replicating in target cells and tissues. We always thought that

0:25:46.359 --> 0:25:50.000
<v Speaker 1>that was a potential reason for why this symptoms persists.

0:25:50.560 --> 0:25:54.719
<v Speaker 1>Steve says Dan's research when it's published, could have significant

0:25:54.760 --> 0:26:00.359
<v Speaker 1>implications for treatment. If the experts out there tell me, yes,

0:26:00.640 --> 0:26:07.159
<v Speaker 1>we think that there is a persistent repository of virus protein,

0:26:07.320 --> 0:26:11.119
<v Speaker 1>nucleic acid, or even virus replication, then for me it's

0:26:11.160 --> 0:26:15.080
<v Speaker 1>easy to say, okay, well then thousand ways and that

0:26:15.119 --> 0:26:17.760
<v Speaker 1>can cause long COVID. We need to give people an

0:26:17.760 --> 0:26:20.119
<v Speaker 1>anti virus. We need to get people antibodies or therapy

0:26:20.240 --> 0:26:22.720
<v Speaker 1>vaccine and see if they get better. And that's what

0:26:22.760 --> 0:26:26.080
<v Speaker 1>we're planning on doing. But we need more rational. We

0:26:26.160 --> 0:26:30.240
<v Speaker 1>need a paper from the NIH saying, you know, with

0:26:30.440 --> 0:26:33.840
<v Speaker 1>ni H level standards, yes, indeed some people have virus.

0:26:33.920 --> 0:26:36.399
<v Speaker 1>And if they tell me that these people virus also

0:26:36.480 --> 0:26:40.480
<v Speaker 1>had symptoms, well, that would be helpful. Steve says. Circumstantial

0:26:40.520 --> 0:26:45.000
<v Speaker 1>evidence supports the concept that there's something persistent that's causing

0:26:45.080 --> 0:26:48.080
<v Speaker 1>long covids. All these ancdotes out there about people who

0:26:48.080 --> 0:26:50.080
<v Speaker 1>have long COVID and get a vaccine and get better,

0:26:50.520 --> 0:26:52.800
<v Speaker 1>and the only way to explain that is that there's

0:26:52.840 --> 0:26:56.760
<v Speaker 1>persistent virus that's not being cleared by the immune system,

0:26:56.800 --> 0:26:59.399
<v Speaker 1>and the vaccine makes the immune system better and the

0:26:59.480 --> 0:27:01.960
<v Speaker 1>virus goes away and they're healthier. And if we can

0:27:02.000 --> 0:27:04.480
<v Speaker 1>prove it, then me as a as a clinical trial,

0:27:04.520 --> 0:27:06.280
<v Speaker 1>as can do all the clinical trials, we can look

0:27:06.320 --> 0:27:09.680
<v Speaker 1>at any of these anthem virals, any of these antibodies,

0:27:09.800 --> 0:27:12.600
<v Speaker 1>and these vaccines, they all should help. Well. It's a

0:27:12.680 --> 0:27:14.760
<v Speaker 1>very important study and I hope it comes out soon.

0:27:20.000 --> 0:27:23.160
<v Speaker 1>Deep in his lab, Dancoto and his team have amassed

0:27:23.200 --> 0:27:27.960
<v Speaker 1>more than ten thousand autopsy specimens for meticulous study. Their

0:27:27.960 --> 0:27:31.280
<v Speaker 1>analysis is beginning to yield some answers to the many

0:27:31.359 --> 0:27:35.040
<v Speaker 1>questions around long COVID and what causes it. They know

0:27:35.119 --> 0:27:37.760
<v Speaker 1>that the research tools will have in years from now

0:27:38.000 --> 0:27:41.360
<v Speaker 1>will provide even greater insight, which is why a big

0:27:41.400 --> 0:27:44.280
<v Speaker 1>part of their work as involved careful preservation of the

0:27:44.320 --> 0:27:48.199
<v Speaker 1>samples collected from each patient. For instance, some tissues go

0:27:48.240 --> 0:27:52.240
<v Speaker 1>into a solution that preserves nuclinic asset. The virus is

0:27:52.320 --> 0:27:55.800
<v Speaker 1>genetic material, and then we use a highly sensitive PCR

0:27:56.040 --> 0:27:59.240
<v Speaker 1>essay to query presence or absence of all orn and

0:27:59.280 --> 0:28:02.639
<v Speaker 1>those tissues, and Dance group is going further to see

0:28:03.040 --> 0:28:05.639
<v Speaker 1>if the virus that's collected from different areas of the

0:28:05.680 --> 0:28:11.959
<v Speaker 1>body is still infectious. Can we actually get viable virus?

0:28:12.000 --> 0:28:15.639
<v Speaker 1>Can we grow virus from from these different sites we've done,

0:28:15.880 --> 0:28:19.280
<v Speaker 1>you know, simply put a much more extensive sampling than

0:28:19.400 --> 0:28:23.439
<v Speaker 1>than others have. The data from the biospecimens are also

0:28:23.560 --> 0:28:28.000
<v Speaker 1>matched with patient records, including genetic tests used to identify

0:28:28.280 --> 0:28:32.000
<v Speaker 1>certain individual variations in a person's immune system. You have

0:28:32.440 --> 0:28:35.800
<v Speaker 1>individuals as young as six years old, very very sad

0:28:35.920 --> 0:28:40.640
<v Speaker 1>to beyond ninety years old. It's diverse, you know, across

0:28:40.720 --> 0:28:45.240
<v Speaker 1>gender and raise and ethnicity. It's diverse across a really

0:28:45.280 --> 0:28:51.680
<v Speaker 1>important parameter, which is when we perform the autopsy relevant

0:28:51.840 --> 0:28:56.000
<v Speaker 1>to symptom on set from COVID. There have now been

0:28:56.160 --> 0:28:59.840
<v Speaker 1>dozens of studies published based on autopsy findings that have

0:29:00.040 --> 0:29:02.680
<v Speaker 1>added data points to a map showing where the virus

0:29:02.760 --> 0:29:06.240
<v Speaker 1>is going and what it's doing across the body. Others

0:29:06.240 --> 0:29:09.680
<v Speaker 1>have done a very good job of creating the outline

0:29:09.760 --> 0:29:12.760
<v Speaker 1>of that map of where the virus goes, what cell types,

0:29:13.160 --> 0:29:15.680
<v Speaker 1>you know, how long it sticks. We intend to put

0:29:15.680 --> 0:29:17.680
<v Speaker 1>some more spots on that map, you know, to help

0:29:18.000 --> 0:29:19.840
<v Speaker 1>to help kind of fill it in both as far

0:29:19.880 --> 0:29:24.080
<v Speaker 1>as different locations, different cell types, period of time. You

0:29:24.080 --> 0:29:28.160
<v Speaker 1>know that that researchers can then use moving forward. It's

0:29:28.280 --> 0:29:31.760
<v Speaker 1>already clear to day that Sasko vie too spreads through

0:29:31.800 --> 0:29:35.320
<v Speaker 1>the body wider than previously thought in patients with mild

0:29:35.480 --> 0:29:39.200
<v Speaker 1>or even no symptoms. I think we're operating under the

0:29:39.240 --> 0:29:43.320
<v Speaker 1>impression that for the most part, the virus is contained

0:29:43.480 --> 0:29:46.080
<v Speaker 1>in the respiery track, perhaps just the upper row story track,

0:29:46.200 --> 0:29:48.240
<v Speaker 1>never makes it to its lungs and then doesn't go

0:29:48.320 --> 0:29:50.920
<v Speaker 1>past that right like, it doesn't get into the bloodstream,

0:29:50.960 --> 0:29:53.200
<v Speaker 1>it doesn't distribute to other parts of the body, and

0:29:53.200 --> 0:29:55.240
<v Speaker 1>then you clear it, you know, you're better. I'm not

0:29:55.320 --> 0:29:57.880
<v Speaker 1>sure that's the case. There's not a lot of evidence

0:29:57.920 --> 0:30:01.360
<v Speaker 1>in this space, and says some of the patients who

0:30:01.480 --> 0:30:06.120
<v Speaker 1>died with rather than rome COVID will provide some insight

0:30:06.200 --> 0:30:10.480
<v Speaker 1>into that. Those are issues that we cannot just assume.

0:30:10.640 --> 0:30:14.800
<v Speaker 1>One thing and the implications of that are important because

0:30:15.120 --> 0:30:18.800
<v Speaker 1>if you are mildly symptomatic or asymptomatic, but you actually

0:30:18.880 --> 0:30:21.719
<v Speaker 1>do have a period of iramia or the virus tropes

0:30:22.040 --> 0:30:24.360
<v Speaker 1>to different parts of your body and then you know,

0:30:24.480 --> 0:30:27.680
<v Speaker 1>you feel better, but actually the virus is persisting for

0:30:27.720 --> 0:30:31.200
<v Speaker 1>a certain period of time and causing injury or the

0:30:31.200 --> 0:30:34.160
<v Speaker 1>body's response to clear that virus is contributing to some

0:30:34.720 --> 0:30:39.600
<v Speaker 1>you know, pathogenic mechanism that is, you know, manifesting as

0:30:39.680 --> 0:30:43.120
<v Speaker 1>long COVID symptoms. We gotta we gotta know that, right,

0:30:43.560 --> 0:30:46.440
<v Speaker 1>We got we gotta know that because without knowing it,

0:30:46.480 --> 0:30:48.920
<v Speaker 1>how are we going to address it? Right? And so

0:30:48.920 --> 0:30:50.600
<v Speaker 1>so we got to begin to kind of turn these

0:30:50.600 --> 0:30:52.680
<v Speaker 1>pages of the book, like peel the layers off the

0:30:52.680 --> 0:30:56.400
<v Speaker 1>onion and try to answer some of these questions. Dances.

0:30:56.480 --> 0:30:59.560
<v Speaker 1>A manuscript based on the young man with Manadas is

0:30:59.640 --> 0:31:03.000
<v Speaker 1>under a valuation by a scientific journal. A paper on

0:31:03.080 --> 0:31:06.240
<v Speaker 1>what his team found looking specifically at the eye is

0:31:06.360 --> 0:31:10.280
<v Speaker 1>undergoing co author review and will be submitted shortly. His

0:31:10.560 --> 0:31:13.400
<v Speaker 1>larger project, providing a map of where the virus is

0:31:13.440 --> 0:31:17.400
<v Speaker 1>going in the body, is pending more data across anatomical sites.

0:31:18.080 --> 0:31:21.160
<v Speaker 1>Dan says he expects this last bit of information shortly

0:31:21.600 --> 0:31:24.960
<v Speaker 1>and then can finish your manuscript. But evidence pointing to

0:31:25.000 --> 0:31:28.000
<v Speaker 1>the causes of long COVID are of little help to

0:31:28.080 --> 0:31:50.920
<v Speaker 1>patience unless the findings in yield ways to help them.

0:31:50.960 --> 0:31:53.880
<v Speaker 1>Next week on Breakthrough, doctors and physical therapists in New

0:31:53.960 --> 0:31:56.719
<v Speaker 1>York are working on strategies to help long haulers manage

0:31:56.760 --> 0:32:00.160
<v Speaker 1>their symptoms. Even though a cure remains a loop us

0:32:00.880 --> 0:32:04.120
<v Speaker 1>thinking outside the box. It's bringing a variety of innovative

0:32:04.440 --> 0:32:09.320
<v Speaker 1>and successful therapeutic options. Some of our patients who have

0:32:09.360 --> 0:32:13.240
<v Speaker 1>been discharged for the longest, they're experiencing relapses. So is

0:32:13.280 --> 0:32:16.560
<v Speaker 1>this something you're gonna have to manage for your entire life,

0:32:16.800 --> 0:32:18.480
<v Speaker 1>or is this something that you're gonna have to manage

0:32:18.520 --> 0:32:20.960
<v Speaker 1>for the next five to ten years. Or is this

0:32:21.120 --> 0:32:24.160
<v Speaker 1>something that we can rehabilitate and we'll discharge you and

0:32:24.200 --> 0:32:26.000
<v Speaker 1>you will never have to think about it again. So

0:32:26.080 --> 0:32:43.960
<v Speaker 1>these are all open questions right now. This episode of

0:32:43.960 --> 0:32:47.800
<v Speaker 1>Prognosis Breakthrough was written and reported by me Jason Gale

0:32:48.160 --> 0:32:51.560
<v Speaker 1>So for four Heads is our senior producer. Carl Kevin

0:32:51.640 --> 0:32:55.960
<v Speaker 1>Robinson Jr. Is our associate producer. Theme music was composed

0:32:55.960 --> 0:33:00.160
<v Speaker 1>and performed by Hannes Brown Rich Shiners editor Franchise get

0:33:00.240 --> 0:33:03.400
<v Speaker 1>Leavy is the head of Bloomberg Podcasts. Be sure to

0:33:03.440 --> 0:33:06.800
<v Speaker 1>subscribe if you haven't already, and if you liked this episode,

0:33:06.960 --> 0:33:09.640
<v Speaker 1>please leave us a review. It helps others find out

0:33:09.640 --> 0:33:11.560
<v Speaker 1>about the show. Thanks for listening.