WEBVTT - Using Viruses to Fight Disease

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<v Speaker 1>Pushkin. I love phages. Phages are viruses that attack bacteria.

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<v Speaker 1>Phages are unimaginably abundant, a trillion phages for every grain

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<v Speaker 1>of sand on Earth, according to one estimate, which what

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<v Speaker 1>does that even mean? Qualitatively? It means phages are all

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<v Speaker 1>around us, they are inside of us, They're essential to

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<v Speaker 1>life on earth, and they may help to improve human

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<v Speaker 1>health in a profound way. I'm Jacob Goldstein. This is

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<v Speaker 1>what's your problem? And my guest today is Paul Garifolo.

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<v Speaker 1>He is the co founder and CEO of a company

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<v Speaker 1>called Locust Biosciences. Paul's problem is this, can you use

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<v Speaker 1>genetically engineered phages to cure disease? People have been trying

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<v Speaker 1>to use phages to cure infections for over one hundred

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<v Speaker 1>years now, but in most cases, naturally occurring phages just

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<v Speaker 1>don't work as well as antibiotics as drugs. Phages reduce infections,

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<v Speaker 1>but they often don't wipe them out entirely. So Paul

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<v Speaker 1>and his colleagues are taking a different approach. They're genetically

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<v Speaker 1>engineering phages to make them better at killing bacteria. For now,

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<v Speaker 1>the company is testing its first phage based drug in

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<v Speaker 1>patients in combination with antibiotics. But Paul says, the long

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<v Speaker 1>term dream is bigger than that.

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<v Speaker 2>So we actually have been trying to figure out how

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<v Speaker 2>to selectively remove bacteria from the human body without touching

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<v Speaker 2>any of the good bacteria that's in there, and we

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<v Speaker 2>believe that that is a key to longevity of human life.

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<v Speaker 2>We're starting with trying to replace antibiotics, but we believe

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<v Speaker 2>that any number of diseases in the human body or

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<v Speaker 2>actually the body's reaction to inflammation from bad bacteria getting

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<v Speaker 2>in there and not leaving. And so that's what Locus

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<v Speaker 2>is trying to do.

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<v Speaker 1>That's the big dream. There's a narrower dream that I'm

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<v Speaker 1>also interested in, yes, and that maybe a question that

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<v Speaker 1>gets at the narrow dream is what are the limitations

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<v Speaker 1>of antibiotics that you're trying to address.

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<v Speaker 2>I think there are two things that are wrong with antibiotics.

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<v Speaker 2>So one that most people are very, very familiar with

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<v Speaker 2>is resistance is now everywhere, and so effectively we're beginning

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<v Speaker 2>to see exponential increases in drug resists from almost all

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<v Speaker 2>mainstream antibiotics, if not all. So there's sort of a

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<v Speaker 2>math problem from here. At some point none of them

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<v Speaker 2>work and the further up in strength you move in antibiotics,

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<v Speaker 2>the more toxic they are to your body. And so

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<v Speaker 2>if you're really sick and you have to go on

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<v Speaker 2>a really strong antibiotic, the antibiotic itself can be your demise.

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<v Speaker 2>So that's one thing. Another example might be people with

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<v Speaker 2>recurrent ear infections or recurrent bladder infections end up going

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<v Speaker 2>onto frequent batteries of antibiotics, say, you know, starting at

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<v Speaker 2>fifteen days, but eventually getting the things like thirty days

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<v Speaker 2>or forty five days of low volumes, and that can

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<v Speaker 2>wreak havoc on your body. You know, it could basically

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<v Speaker 2>destroy the balance in your microbiome. And you can have

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<v Speaker 2>things that are long ranging side, like having to go

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<v Speaker 2>on substantially simplistic diets for a long period of time

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<v Speaker 2>because your intestinal track can't handle the variety of food

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<v Speaker 2>that it likely needs for longevity. So those are just

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<v Speaker 2>a couple of examples.

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<v Speaker 1>Why my phages help to solve this problem.

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<v Speaker 2>So we think that phases are one of the most

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<v Speaker 2>unique and creative ways of getting into the human body

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<v Speaker 2>to selectively attack a very specific bacterial pathogen or pathobian

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<v Speaker 2>of interest, and only that particular target so I'm sure

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<v Speaker 2>you've heard about precision medicine on the gene editing side

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<v Speaker 2>for human cells that might be able to fix some

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<v Speaker 2>of the world's roughest diseases. But on the bacterial side,

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<v Speaker 2>precision medicine is quite new, And the idea of using

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<v Speaker 2>phases as a delivery vector is essentially centering around the

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<v Speaker 2>fact that they're exquisitely unique to the bacteria that they've

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<v Speaker 2>evolved to infect. And so I think the largest, most

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<v Speaker 2>abundant and oldest biological organism on the planet besides bacteria

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<v Speaker 2>is faish.

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<v Speaker 1>Yeah, that's amazing, right, Like the Earth is full of

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<v Speaker 1>phases in the sea. When every day half of the

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<v Speaker 1>bacteria and the sea get killed by stages or something like,

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<v Speaker 1>it's wild, right, It's like it's incredible.

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<v Speaker 2>Yeah, they say that half the bacteria on the planet,

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<v Speaker 2>soil sea in Europe.

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<v Speaker 1>Every day, Like it's happening all around us. It's happening

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<v Speaker 1>inside our bodies, right, there are phases that naturally occur

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<v Speaker 1>inside our.

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<v Speaker 2>Bodies, and bacteria actually double at a very similar pace, right,

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<v Speaker 2>So that this is one of nature's oldest and most

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<v Speaker 2>established ecosystems.

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<v Speaker 1>And this is an old idea it's super exciting when

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<v Speaker 1>you hear it and they're like, oh wait, people have

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<v Speaker 1>been trying to attack bacterial infection with phages for literally

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<v Speaker 1>like one hundred years, right, and I haven't got that

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<v Speaker 1>far with it. It sounds perfect. Why hasn't it worked

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<v Speaker 1>that well so far?

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<v Speaker 2>I think there are probably two or three reasons of note.

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<v Speaker 2>One is that people essentially since i'd say a century

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<v Speaker 2>ago when they were discovered, they use wild type phases,

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<v Speaker 2>meaning they don't do any type of enhancement to that virus,

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<v Speaker 2>They don't change the genome in any way. They simply

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<v Speaker 2>search for one that is effectively a good killer in

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<v Speaker 2>an academic lab, and then they take that killer and

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<v Speaker 2>they put that into the human body expecting similar results.

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<v Speaker 2>And you can see efficacylevels of those types of what

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<v Speaker 2>we call wild type phase treatments in anywhere from fifty

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<v Speaker 2>to maybe even sixty five maybe even in best cases

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<v Speaker 2>seventy percent range, which you would say, well, that sounds decent,

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<v Speaker 2>pretty good, But antibiotics have traditionally, up until when resistance

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<v Speaker 2>has started to come into fray, those typically work around

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<v Speaker 2>or above ninety five percent. So the efficacy difference between

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<v Speaker 2>those two wild type phases and antibiotics is just so stark.

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<v Speaker 2>In the days of the Cold War, antibiotics were not

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<v Speaker 2>really available to people that were behind the Iron Curtain,

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<v Speaker 2>and so face there be actually continued in many places

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<v Speaker 2>inside Georgia, Russia, et cetera, and advanced into treatment centers

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<v Speaker 2>that really were gear around a single phage for a

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<v Speaker 2>single bacteria. And what that leads me to this sort

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<v Speaker 2>of the second I think not shortcoming, but just natural

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<v Speaker 2>component of phase, which is an individual PHASEE to go after.

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<v Speaker 2>Let's say, a large population of bacteria in the human

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<v Speaker 2>body will begin to see resistance.

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<v Speaker 1>So that's the story of as you said, wild type

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<v Speaker 1>phasi is naturally occurring phasis, you're doing something much more

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<v Speaker 1>twenty first century right in a few ways. So we

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<v Speaker 1>should introduce another sort of idea slash piece of jargon now, right,

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<v Speaker 1>which is crisper cast three. People are used to think

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<v Speaker 1>of crisper as like the gene scissors, right. I think

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<v Speaker 1>people are relatively familiar with that, But this is a

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<v Speaker 1>variant that is like the gene shredder, right, as opposed

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<v Speaker 1>to a scissors.

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<v Speaker 2>Yes, it works like essentially a pac Man if you

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<v Speaker 2>remember the old arcade game. So it essentially makes a

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<v Speaker 2>small nick in one strand of the DNA of the

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<v Speaker 2>double helix, and then it choose that strand back by hundreds,

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<v Speaker 2>if not thousands of base pairs to the point where

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<v Speaker 2>it renders that that cell dead and by no means.

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<v Speaker 2>And I think this is an evolution of our company

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<v Speaker 2>and perhaps many others. Chrisper systems are not the only

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<v Speaker 2>thing that you can engineer into a phage, Peptides, other enzymes,

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<v Speaker 2>all kinds of things.

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<v Speaker 1>Oh interesting, but that's I mean, just to be clear,

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<v Speaker 1>Like the I call them drugs, they're drugs, rightugs. The

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<v Speaker 1>drugs that you have in clinical trials are combining crisper

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<v Speaker 1>cast three with a phage, right, Yes.

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<v Speaker 2>Our lead asset is an E. Coli based product. It

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<v Speaker 2>has six phases inside of that product, so it's a

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<v Speaker 2>cocktail of phases and the majority of those phases are

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<v Speaker 2>engineered to carry the entire crisper castori construct inside.

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<v Speaker 1>So it's basically six different phases, each of which you've

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<v Speaker 1>engineered to put on this gene shredder gene pac man.

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<v Speaker 1>So the ideas the phases go into the infecting cells,

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<v Speaker 1>the E coalie the bacteria, and then the Crisper eats

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<v Speaker 1>up the DNA of those bacteria, thus killing the bacteria.

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<v Speaker 1>That's the basic idea.

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<v Speaker 2>That's the basic idea.

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<v Speaker 1>So basically the idea is if you do a a

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<v Speaker 1>bunch of different phases and b add to them something

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<v Speaker 1>like Crisper casts three that makes it extra deadly, then

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<v Speaker 1>you can clear the infection rather than just reducing.

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<v Speaker 2>Correct.

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<v Speaker 1>And so now you are running a clinical trial on

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<v Speaker 1>women with recurrent urinary tract infections? Is that right?

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<v Speaker 2>Correct?

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<v Speaker 1>So tell me about that trial, like, where is it,

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<v Speaker 1>what's happening, what's the you know, what's the outcome?

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<v Speaker 2>Yeah. So we just does patient two hundred and twenty

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<v Speaker 2>nine yesterday. We've got probably two hundred and eighty eight

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<v Speaker 2>to maybe three hundred and eight patients that we're going

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<v Speaker 2>to dose. And the idea is that it would not

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<v Speaker 2>only deal with the acute infection that you're getting hit

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<v Speaker 2>with right now, but it actually either eliminates or dramatically

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<v Speaker 2>reduces the number of recurrent infections that you'll see in

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<v Speaker 2>the future.

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<v Speaker 1>Yeah, So tell me about like recurrent UTI as a problem.

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<v Speaker 2>Inside the United States alone, over ten million people get

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<v Speaker 2>recurrent infections, of which two million of that patient block

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<v Speaker 2>get multiple recurrences. Once you get into a pattern of

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<v Speaker 2>having multiple recurrences, it's very difficult to get rid of those.

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<v Speaker 2>Many patients evolve through decades into a state of colonization,

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<v Speaker 2>which just simply means that that bacteria embeds itself somewhere

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<v Speaker 2>in your body and reinfections occur. You know, maybe for

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<v Speaker 2>some a few times a year, but for many five

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<v Speaker 2>six times a year.

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<v Speaker 1>And how are you delivering the face treatment?

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<v Speaker 2>So we have an intraor ethral delivery into the bladder,

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<v Speaker 2>So we use a catheter, we avoid the bladder of

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<v Speaker 2>its content, and then we reverse flow the drug product

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<v Speaker 2>into the bladder, and in the process we also expand

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<v Speaker 2>the bladder to make sure that the bladder wall is coded,

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<v Speaker 2>and we hold the drug product there for about forty

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<v Speaker 2>to fifty minutes before the patient's void. Again, we do

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<v Speaker 2>that on the first day and the second day, and

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<v Speaker 2>then simultaneously we have an intravenious backdrop that really is

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<v Speaker 2>meant to try to get to the kidneys, and we

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<v Speaker 2>do that on day one, two, and three, So the

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<v Speaker 2>total time and duration is three days.

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<v Speaker 1>So this is an intense treatment. This is like your

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<v Speaker 1>uti would have to be extremely bad to want to

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<v Speaker 1>do this.

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<v Speaker 2>Frankly, you're in that two million patient population. And you know,

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<v Speaker 2>if you had think about it this way, if you

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<v Speaker 2>had a urinary track infection that was so bad that

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<v Speaker 2>you had to stay home from work for three or

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<v Speaker 2>four days until the antibiotics that you got called in

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<v Speaker 2>for you kicked in, and then you were still under

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<v Speaker 2>the weather for another six or seven days, and then

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<v Speaker 2>at the end of that period, within a month to

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<v Speaker 2>two months, you got another one, and those infections just

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<v Speaker 2>in fact, when we talk to urologists and we talked

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<v Speaker 2>to eurogynecologists, they say that this particular infection is the

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<v Speaker 2>one that they feel the worst about for their patients

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<v Speaker 2>over anything that they deal with, because there's nothing that

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<v Speaker 2>they can really do about them except for treat them

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<v Speaker 2>with antibiotics as the occurrences happen, and just keep giving

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<v Speaker 2>them antibiotics every time they happen.

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<v Speaker 1>What are the risks? What are the risks associated with

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<v Speaker 1>the fish treatment?

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<v Speaker 2>So we have not seen any crazy averse events, but

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<v Speaker 2>the amount of viral particles that we put it into

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<v Speaker 2>the body, some patients can get low grade fever, some

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<v Speaker 2>patients can get a little nauseous.

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<v Speaker 1>You're giving people a virus, right.

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<v Speaker 2>You're giving a lot of virus.

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<v Speaker 1>So when are you going to know if phase plus

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<v Speaker 1>antibiotic works better than antibiotical one.

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<v Speaker 2>So we should be finished dosing. We believe we'll be

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<v Speaker 2>finished dosing sometime in the late fall to early winter,

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<v Speaker 2>and then within ninety days from that last dose we'll

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<v Speaker 2>have the data.

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<v Speaker 1>So next less than a year. You should know.

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<v Speaker 2>Definitely less than a year.

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<v Speaker 1>So this UTI study is the one that's farthest along

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<v Speaker 1>for you, what else do you have in clinical trials?

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<v Speaker 2>So we have applied for an ID for a Crone's

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<v Speaker 2>asset to try to essentially have an oral product that

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<v Speaker 2>is similar to the UTI product but works more towards

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<v Speaker 2>adherent invasive equal LIE, which is in many areas of medicine,

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<v Speaker 2>considered to be at worst associative at best causal of

0:15:21.396 --> 0:15:25.836
<v Speaker 2>Crohn's disease. In addition to that one, we're very close

0:15:25.876 --> 0:15:28.156
<v Speaker 2>to being able to submit an I and D for

0:15:28.316 --> 0:15:34.236
<v Speaker 2>this hospital acquired pneumonia asset, and that should be if

0:15:34.276 --> 0:15:37.636
<v Speaker 2>we're on time, that one should get approved before the

0:15:37.756 --> 0:15:40.396
<v Speaker 2>end of the year. So in theory, by the end

0:15:40.436 --> 0:15:42.916
<v Speaker 2>of this year, in the beginning of next year, we

0:15:42.956 --> 0:15:45.596
<v Speaker 2>would have three to four assets that we're moving through

0:15:45.676 --> 0:15:46.196
<v Speaker 2>the clinic.

0:15:46.436 --> 0:15:48.516
<v Speaker 1>And an asset is a drug. An asset's a drug,

0:15:49.036 --> 0:15:51.116
<v Speaker 1>a drug that you own. That's why it's an asset

0:15:51.156 --> 0:15:51.396
<v Speaker 1>for you.

0:15:51.556 --> 0:15:55.716
<v Speaker 2>Well, in some cases partnered, but yes, one that we own.

0:15:55.836 --> 0:16:02.196
<v Speaker 1>Or co own. Yeah, somebody owns. We'll be back in

0:16:02.316 --> 0:16:16.796
<v Speaker 1>just a minute. Tell me about how you're using AI

0:16:17.076 --> 0:16:17.796
<v Speaker 1>at your company.

0:16:18.236 --> 0:16:23.876
<v Speaker 2>Yeah, so we use a what we call AI driven robotics,

0:16:24.236 --> 0:16:28.636
<v Speaker 2>and so we discover phase at a volume I don't

0:16:28.676 --> 0:16:31.436
<v Speaker 2>think anybody in the past has used. And then when

0:16:31.476 --> 0:16:36.156
<v Speaker 2>we get those phage isolated, we sequence them, we run

0:16:36.196 --> 0:16:38.676
<v Speaker 2>full characterization on them, and then we start running them

0:16:38.676 --> 0:16:43.396
<v Speaker 2>through prediction engines that help us figure out what payloads

0:16:43.436 --> 0:16:46.356
<v Speaker 2>to put into their genomes and which ones of those

0:16:46.396 --> 0:16:48.276
<v Speaker 2>should go together and do a fixed drug.

0:16:48.836 --> 0:16:51.036
<v Speaker 1>So, so let me just take a sec to understand

0:16:51.036 --> 0:16:55.196
<v Speaker 1>that the prediction engines part, that second part that sounds

0:16:55.236 --> 0:16:58.076
<v Speaker 1>like AI. But what's the robot part and how is

0:16:58.116 --> 0:17:00.716
<v Speaker 1>it different than you know, what happens in a normal lab.

0:17:01.276 --> 0:17:04.116
<v Speaker 2>Well, in a normal lab, you have a pipette, yeah

0:17:04.316 --> 0:17:08.796
<v Speaker 2>kind of, Yeah, you have a little thumb thing that

0:17:09.316 --> 0:17:13.956
<v Speaker 2>like depress and yeah, so you know discovering phases using

0:17:14.396 --> 0:17:16.516
<v Speaker 2>sort of your regular old run of the mill.

0:17:16.676 --> 0:17:19.036
<v Speaker 1>So what what So, okay, what are you doing.

0:17:19.476 --> 0:17:23.796
<v Speaker 2>We're using hundreds, if not thousands, of ninety six well

0:17:23.836 --> 0:17:27.276
<v Speaker 2>plates with the robot running twenty four hours a day,

0:17:27.516 --> 0:17:33.116
<v Speaker 2>essentially looking at wastewater that we pull from all fifty

0:17:33.156 --> 0:17:35.556
<v Speaker 2>states outside of international airports.

0:17:36.036 --> 0:17:38.716
<v Speaker 1>Oh, you're doing outside of international airports because it's a

0:17:38.756 --> 0:17:42.716
<v Speaker 1>more biodiverse sample, Like hundred percentages are flying in from

0:17:42.756 --> 0:17:45.636
<v Speaker 1>all over the world in people's bodies in your samp

0:17:45.756 --> 0:17:48.036
<v Speaker 1>Like that. I love that.

0:17:48.116 --> 0:17:48.956
<v Speaker 2>Yeah, that's really cool.

0:17:49.316 --> 0:17:51.316
<v Speaker 1>Would you say wastewater like you just go to like

0:17:51.356 --> 0:17:54.836
<v Speaker 1>the sewer, Like, how do you actually do this?

0:17:54.996 --> 0:17:58.236
<v Speaker 2>You reach out to the municipalities and you set up

0:17:59.036 --> 0:18:02.116
<v Speaker 2>opportunities to pull them. And I mean in the early

0:18:02.196 --> 0:18:04.716
<v Speaker 2>early days, we would go out there and we'd knock

0:18:04.756 --> 0:18:07.356
<v Speaker 2>on the door and we'd askay can we do this?

0:18:07.956 --> 0:18:09.996
<v Speaker 2>And in a lot of case as you can.

0:18:10.356 --> 0:18:13.596
<v Speaker 1>And what's the order of magnitude of like how many

0:18:13.636 --> 0:18:16.756
<v Speaker 1>different phases your your system is going through?

0:18:17.116 --> 0:18:22.916
<v Speaker 2>So we have found it probably eighty five hundred uniquely identified,

0:18:23.036 --> 0:18:28.636
<v Speaker 2>fully characterized phases against ninety nine different bacterial targets. So

0:18:28.796 --> 0:18:32.276
<v Speaker 2>less size and scale that most academic labs, if not

0:18:32.356 --> 0:18:34.276
<v Speaker 2>any academic lab could ever match.

0:18:35.156 --> 0:18:38.636
<v Speaker 1>So then so that's that's the robot stage. And then

0:18:38.676 --> 0:18:41.196
<v Speaker 1>you were saying, you move on to the to the

0:18:41.556 --> 0:18:42.956
<v Speaker 1>kind of AI stage. What's that?

0:18:43.716 --> 0:18:46.916
<v Speaker 2>So you maybe the best way to think about is

0:18:47.036 --> 0:18:50.556
<v Speaker 2>it can work a little bit like Netflix. So if

0:18:50.596 --> 0:18:53.276
<v Speaker 2>your you know, you watch a particular type of movie

0:18:53.356 --> 0:18:56.956
<v Speaker 2>and there's a little algorithm behind the scenes that tries

0:18:56.996 --> 0:18:59.796
<v Speaker 2>to figure out, well, what's the next best movie that's

0:18:59.916 --> 0:19:03.996
<v Speaker 2>like that that you might want. And so we essentially

0:19:04.036 --> 0:19:09.196
<v Speaker 2>apply very similar models to the sequenced information that we

0:19:09.036 --> 0:19:12.076
<v Speaker 2>have on each of these unique phases, and we start

0:19:12.076 --> 0:19:16.276
<v Speaker 2>to try to figure out, really by evaluating quadrillions of

0:19:16.316 --> 0:19:20.676
<v Speaker 2>different options of pairing hundreds of not thousands of phase together,

0:19:20.796 --> 0:19:23.236
<v Speaker 2>which one which four or five, six or seven of

0:19:23.276 --> 0:19:24.516
<v Speaker 2>these go best together?

0:19:24.916 --> 0:19:27.876
<v Speaker 1>So you want them to be complementary. You're targeting you're

0:19:27.876 --> 0:19:30.876
<v Speaker 1>targeting some particular bacteria, and you're like, okay, give me

0:19:30.916 --> 0:19:32.676
<v Speaker 1>the best cocktail correct AI.

0:19:33.036 --> 0:19:35.916
<v Speaker 2>Yep. And then once it says try these top three,

0:19:36.156 --> 0:19:39.476
<v Speaker 2>we go make them and then we grow it up

0:19:39.516 --> 0:19:42.196
<v Speaker 2>and you know, manufacture small quantities of it, and then

0:19:42.236 --> 0:19:43.156
<v Speaker 2>we test them out.

0:19:43.276 --> 0:19:45.276
<v Speaker 1>And is that how you got the cocktails that are

0:19:45.316 --> 0:19:46.396
<v Speaker 1>in trials now.

0:19:46.996 --> 0:19:51.236
<v Speaker 2>The one that we have that's in trial now probably

0:19:51.316 --> 0:19:53.636
<v Speaker 2>was a bit more manual because it's our first asset

0:19:53.836 --> 0:19:57.156
<v Speaker 2>and it's probably built like seven years ago. The two,

0:19:57.836 --> 0:20:00.116
<v Speaker 2>the three that we have that are coming this year,

0:20:00.276 --> 0:20:04.876
<v Speaker 2>we're all built using that approach. So we're excited about

0:20:04.916 --> 0:20:07.396
<v Speaker 2>the second generation assets that are going in.

0:20:08.516 --> 0:20:12.196
<v Speaker 1>So so let's talk more long term, Like, let's talk

0:20:12.236 --> 0:20:17.236
<v Speaker 1>about the sort of phase dream I've heard you talk about,

0:20:17.596 --> 0:20:19.716
<v Speaker 1>you know, the potential that the kinds of things you're

0:20:19.756 --> 0:20:22.636
<v Speaker 1>working on might go beyond what we think of as

0:20:22.636 --> 0:20:26.196
<v Speaker 1>infectious disease someday. Tell me about the sort of big,

0:20:26.316 --> 0:20:28.476
<v Speaker 1>big dream for phase treatment.

0:20:28.756 --> 0:20:32.076
<v Speaker 2>I think crones sits in that arena for us. So

0:20:32.876 --> 0:20:39.316
<v Speaker 2>Crone's disease is a immune disorder that essentially your body's

0:20:39.396 --> 0:20:44.316
<v Speaker 2>immune system mistakes something in your intestinal track for an infection,

0:20:44.596 --> 0:20:49.796
<v Speaker 2>and it targets your own intestinal organs and eats away

0:20:49.836 --> 0:20:52.876
<v Speaker 2>at them to the point where you have small lesions

0:20:53.476 --> 0:20:57.956
<v Speaker 2>that are actually in your intestinal lining. And what we

0:20:58.116 --> 0:21:00.196
<v Speaker 2>know how to do in the field of medicine is

0:21:01.076 --> 0:21:05.236
<v Speaker 2>essentially turned down the intensity of the attacking.

0:21:05.796 --> 0:21:08.996
<v Speaker 1>So it's an autoimmune disorder. It's not thought of as

0:21:09.756 --> 0:21:14.476
<v Speaker 1>infectious disease. Correct, So where does where does face therapy

0:21:14.516 --> 0:21:15.156
<v Speaker 1>come in?

0:21:15.156 --> 0:21:20.356
<v Speaker 2>In many circles of ib D, it's thought that bacteria

0:21:21.156 --> 0:21:23.716
<v Speaker 2>is what the immune system is attacking.

0:21:23.636 --> 0:21:27.316
<v Speaker 1>And IBD is inflammatory bowel disease. It's like that crones

0:21:27.396 --> 0:21:27.636
<v Speaker 1>is one of.

0:21:27.636 --> 0:21:33.556
<v Speaker 2>Your crones colitis variant forms of those anything that essentially

0:21:33.716 --> 0:21:39.436
<v Speaker 2>diverticulated these types of things consider essentially intestinal organ disorders.

0:21:40.396 --> 0:21:44.756
<v Speaker 2>There's a big umbrella term for IBD. And so many

0:21:44.796 --> 0:21:48.476
<v Speaker 2>scientists believe that there are bacteria that gets stuck in

0:21:48.516 --> 0:21:52.916
<v Speaker 2>there and are non transient, and it's those bacteria that

0:21:52.996 --> 0:21:57.036
<v Speaker 2>get stuck in there and somehow adhere to the intestinal walls,

0:21:58.556 --> 0:22:02.036
<v Speaker 2>that that is what the immune system is attacking.

0:22:01.556 --> 0:22:04.476
<v Speaker 1>And that makes your immune system freak out and start

0:22:04.556 --> 0:22:07.356
<v Speaker 1>attacking not just those cells but the bodies own cells.

0:22:07.516 --> 0:22:11.396
<v Speaker 2>Correct. And so are drugs. And what we think is

0:22:11.476 --> 0:22:14.036
<v Speaker 2>the holy grail of medicine is to be able to

0:22:14.116 --> 0:22:18.556
<v Speaker 2>use phage encoded with payloads that can eat through either

0:22:18.716 --> 0:22:23.716
<v Speaker 2>the biofilms, mucle layers or macrophage layers that protect those

0:22:23.716 --> 0:22:27.156
<v Speaker 2>intracellular pathogens that our drugs would be able to get

0:22:27.156 --> 0:22:33.276
<v Speaker 2>there precisely and kill just those pathogens, thereby causing the

0:22:33.276 --> 0:22:37.756
<v Speaker 2>immune system to calm down and to potentially heal that

0:22:37.876 --> 0:22:40.196
<v Speaker 2>patient with something that's curative.

0:22:41.396 --> 0:22:44.076
<v Speaker 1>And just to be clear, is it the case that

0:22:44.116 --> 0:22:49.116
<v Speaker 1>antibiotics just don't work for the particular the bacteria in

0:22:49.156 --> 0:22:50.516
<v Speaker 1>the setting that you're describing.

0:22:50.916 --> 0:22:55.436
<v Speaker 2>Antibiotics are known to not be able to kill intracellular pathogens.

0:22:55.516 --> 0:22:59.036
<v Speaker 2>They can't transit into the human cells to kill the human.

0:22:58.836 --> 0:23:01.716
<v Speaker 1>Cells, which is why they don't kill us.

0:23:01.876 --> 0:23:06.716
<v Speaker 2>Presumably why antibiotics don't kill us. Yeah, presumably, I mean,

0:23:06.756 --> 0:23:08.236
<v Speaker 2>that's one way to look at it.

0:23:08.276 --> 0:23:13.116
<v Speaker 1>Absolutely, yeah, Yeah, And this is a trial that you're

0:23:13.116 --> 0:23:15.876
<v Speaker 1>hoping you're hoping to sort of start a clinical trial

0:23:15.916 --> 0:23:18.756
<v Speaker 1>based on this hypothesis. You said in the next year

0:23:18.836 --> 0:23:19.636
<v Speaker 1>or so, we hope.

0:23:19.476 --> 0:23:22.276
<v Speaker 2>To, We hope to. We still need to raise fund

0:23:22.356 --> 0:23:23.676
<v Speaker 2>specifically for that one.

0:23:23.956 --> 0:23:26.116
<v Speaker 1>I believe it less the way you say we hope to.

0:23:26.276 --> 0:23:29.156
<v Speaker 2>Yeah, that when you're running a company like this, you

0:23:29.236 --> 0:23:32.156
<v Speaker 2>tend to go where your contracts and partnerships are, and

0:23:32.236 --> 0:23:35.876
<v Speaker 2>right now we have contracts in three of four areas,

0:23:35.916 --> 0:23:38.156
<v Speaker 2>and so of course we're busy working on all three

0:23:38.196 --> 0:23:40.836
<v Speaker 2>of those, and we hope to add the fourth.

0:23:41.196 --> 0:23:44.076
<v Speaker 1>So what's the bigger idea here? Like, we kind of

0:23:44.116 --> 0:23:46.356
<v Speaker 1>went far into the weeds on crumbs, But what is

0:23:46.396 --> 0:23:48.876
<v Speaker 1>the bigger idea for you know, if you're right, like,

0:23:48.956 --> 0:23:51.676
<v Speaker 1>what is the big hope for phaci therapy and whatever

0:23:51.756 --> 0:23:52.676
<v Speaker 1>ten years or something.

0:23:53.356 --> 0:23:57.236
<v Speaker 2>So I'll start high level and go down into that.

0:23:58.236 --> 0:24:02.196
<v Speaker 2>Inflammation in the human body is not good. It causes

0:24:02.316 --> 0:24:07.716
<v Speaker 2>many diseases without question, things like rumtory torte is potentially

0:24:07.836 --> 0:24:13.276
<v Speaker 2>neuro disease is Things related to dementia, Parkinson's, etc. Like

0:24:13.316 --> 0:24:16.556
<v Speaker 2>when inflammation occurs in certain sections of the body, bad

0:24:16.596 --> 0:24:20.956
<v Speaker 2>things happen. Our hope for this platform is that it

0:24:20.996 --> 0:24:24.636
<v Speaker 2>can reach into the human body via precision medicine and

0:24:24.716 --> 0:24:27.636
<v Speaker 2>pull those pathogens or pathobians out.

0:24:28.396 --> 0:24:31.996
<v Speaker 1>Is the underlying hypothesis that this sort of mysterious systemic

0:24:32.076 --> 0:24:35.516
<v Speaker 1>inflammation is caused by particular kinds of bacterial infection.

0:24:36.876 --> 0:24:40.956
<v Speaker 2>Yes, many pathogens that are in the body are bad actors.

0:24:41.156 --> 0:24:45.756
<v Speaker 2>They're non transient, and the immune system is likely attacking

0:24:45.916 --> 0:24:49.356
<v Speaker 2>those non transient bad actors. And so if you have

0:24:49.396 --> 0:24:53.516
<v Speaker 2>a platform that can remove those bad actors, you likely

0:24:53.676 --> 0:24:57.716
<v Speaker 2>also get the benefits of being able to improve the

0:24:57.756 --> 0:25:01.196
<v Speaker 2>health of the human body, and that we believe will

0:25:01.236 --> 0:25:07.316
<v Speaker 2>do things like increase the lives of most people in society.

0:25:07.436 --> 0:25:11.076
<v Speaker 2>Or if you're genetically predisposed to a disease, you may

0:25:11.076 --> 0:25:13.556
<v Speaker 2>be able to prevent the onset of that disease for

0:25:13.636 --> 0:25:17.596
<v Speaker 2>a longer period of time. If you're genetically predisposed to

0:25:17.636 --> 0:25:20.316
<v Speaker 2>a disease, you might be able to lessen the severity

0:25:20.796 --> 0:25:24.076
<v Speaker 2>of that disease on your life. A good example might

0:25:24.116 --> 0:25:28.916
<v Speaker 2>be rheumatory authritis. So if you remove pathogens that either

0:25:28.996 --> 0:25:33.436
<v Speaker 2>aggravate or cause rhumatory authritis, can you help that patient

0:25:33.556 --> 0:25:37.396
<v Speaker 2>with their symptomology. Can you decrease the pain that's associated

0:25:37.476 --> 0:25:41.076
<v Speaker 2>in your joints with that disease by decreasing the amount

0:25:41.116 --> 0:25:44.636
<v Speaker 2>of pathogens that you actually have in the body. We

0:25:44.756 --> 0:25:49.396
<v Speaker 2>believe that that is a theory that is absolutely worth

0:25:49.516 --> 0:25:53.596
<v Speaker 2>going after trying to figure out. And many people don't

0:25:53.796 --> 0:25:56.876
<v Speaker 2>really realize this, but a lot of medicine is built

0:25:56.916 --> 0:26:04.716
<v Speaker 2>on suppression. GOLP wants, autoimmune drugs. These things are basically

0:26:05.996 --> 0:26:09.836
<v Speaker 2>shutting something down in the body to help a patient.

0:26:10.156 --> 0:26:13.876
<v Speaker 2>They're not actually dealing with causes, and so hopefully also

0:26:13.996 --> 0:26:19.316
<v Speaker 2>then we can start to talk about cures. But certainly

0:26:20.276 --> 0:26:26.156
<v Speaker 2>if we're able to show direct causal relationships between certain

0:26:26.396 --> 0:26:31.316
<v Speaker 2>pathogens that are in the body and improvement and disease symptomology,

0:26:31.396 --> 0:26:33.316
<v Speaker 2>I think we're onto something really, really big.

0:26:37.076 --> 0:26:39.276
<v Speaker 1>We'll be back in a minute with the liking round.

0:26:49.996 --> 0:26:51.036
<v Speaker 1>What's your favorite phase?

0:26:51.836 --> 0:26:52.836
<v Speaker 2>My favorite PHASEE?

0:26:53.596 --> 0:26:54.356
<v Speaker 1>Yeah?

0:26:55.116 --> 0:26:58.756
<v Speaker 2>Actually I really enjoy thinking about macrophages.

0:26:59.156 --> 0:27:01.636
<v Speaker 1>Oh, the giant ones that they didn't even know where

0:27:01.716 --> 0:27:02.996
<v Speaker 1>virus is because they're so big.

0:27:03.076 --> 0:27:06.236
<v Speaker 2>Yeah, they tend to evolve really fast and move around

0:27:06.276 --> 0:27:08.556
<v Speaker 2>on you, so it makes it a little bit interesting

0:27:08.596 --> 0:27:10.996
<v Speaker 2>to figure out out how to actually pin one down

0:27:11.156 --> 0:27:13.396
<v Speaker 2>and keep it from doing that when you don't want

0:27:13.396 --> 0:27:16.196
<v Speaker 2>it to. But the possibilities of what you can load

0:27:16.236 --> 0:27:18.716
<v Speaker 2>into a phase, the size of the payload that you

0:27:18.716 --> 0:27:21.996
<v Speaker 2>could get in there, if you could replicate it, that's

0:27:22.036 --> 0:27:22.996
<v Speaker 2>pretty exciting.

0:27:23.236 --> 0:27:25.516
<v Speaker 1>So as a phase engineer, you're like, if we could

0:27:25.596 --> 0:27:27.636
<v Speaker 1>tame that guy, we could stick anything in there.

0:27:27.676 --> 0:27:30.356
<v Speaker 2>Yeah, I guess it'd be like taming a really big bull, right,

0:27:30.516 --> 0:27:33.836
<v Speaker 2>Like what we get from that? I think the idea

0:27:33.956 --> 0:27:36.996
<v Speaker 2>of being able to put all kinds of different peptides

0:27:37.596 --> 0:27:41.036
<v Speaker 2>or other enzmatic tools into a phaseI and getting it

0:27:41.156 --> 0:27:43.716
<v Speaker 2>very specifically into a certain part of the body and

0:27:43.756 --> 0:27:47.796
<v Speaker 2>then having it in c too manufacture that payload right

0:27:47.796 --> 0:27:50.836
<v Speaker 2>at the site where you want it. It's pretty fascinating

0:27:51.036 --> 0:27:53.836
<v Speaker 2>as someone who's been in the industry for a number

0:27:53.876 --> 0:27:57.556
<v Speaker 2>of decades. There's tons of good drugs that are on

0:27:57.596 --> 0:28:00.636
<v Speaker 2>the shelf because of things like half life considerations, where

0:28:00.676 --> 0:28:03.676
<v Speaker 2>it just doesn't stay alive and active long enough.

0:28:03.756 --> 0:28:04.156
<v Speaker 1>Huh.

0:28:04.156 --> 0:28:06.876
<v Speaker 2>But if you're manufacturing it in the body right where

0:28:06.916 --> 0:28:09.036
<v Speaker 2>you need it with a phage, what can you do

0:28:09.316 --> 0:28:12.476
<v Speaker 2>with those peptides that have long since been on the shelf.

0:28:12.916 --> 0:28:15.196
<v Speaker 2>So I think there's some really cool things you can

0:28:15.236 --> 0:28:18.676
<v Speaker 2>do with phases that are larger that might be able

0:28:18.676 --> 0:28:19.956
<v Speaker 2>to carry some cool stuff.

0:28:21.156 --> 0:28:23.516
<v Speaker 1>I heard you say that part of the reason you

0:28:23.516 --> 0:28:26.556
<v Speaker 1>started a company was because you don't have a PhD.

0:28:26.716 --> 0:28:28.836
<v Speaker 1>And you realize that in bigger companies there was just

0:28:28.876 --> 0:28:31.116
<v Speaker 1>a ceiling on what you could do without a PhD.

0:28:31.796 --> 0:28:37.996
<v Speaker 1>And I'm curious, have you found any advantages of not

0:28:38.116 --> 0:28:40.036
<v Speaker 1>having a PhD. Does it give you any kind of

0:28:40.116 --> 0:28:42.556
<v Speaker 1>a inside or edge that you might not have if

0:28:42.556 --> 0:28:43.316
<v Speaker 1>you did have one.

0:28:43.356 --> 0:28:45.916
<v Speaker 2>I mean, you can ask dumber questions of your team

0:28:46.036 --> 0:28:48.276
<v Speaker 2>and get away with it. It sort of like why

0:28:48.356 --> 0:28:51.516
<v Speaker 2>do you think that I don't understand? Explain that to me.

0:28:52.196 --> 0:28:55.196
<v Speaker 1>That's actually I will say, that's my whole game. That's

0:28:55.236 --> 0:28:57.596
<v Speaker 1>like my job is. It's like I don't understand that.

0:28:57.676 --> 0:28:58.396
<v Speaker 1>Explained it to me.

0:28:58.916 --> 0:29:01.876
<v Speaker 2>I also think that it gives us. It gives our

0:29:02.076 --> 0:29:05.396
<v Speaker 2>culture inside of our company a bias towards more execution.

0:29:06.036 --> 0:29:10.836
<v Speaker 2>And not that we're any less curious about scientific discovery,

0:29:10.956 --> 0:29:13.996
<v Speaker 2>but once you pass a certain point where you're moving

0:29:14.036 --> 0:29:16.756
<v Speaker 2>into the clinic and through the clinic, it's time to execute,

0:29:16.836 --> 0:29:19.076
<v Speaker 2>and so you stay focused a little bit better.

0:29:19.556 --> 0:29:22.276
<v Speaker 1>Right. You're an engineer by training, right, that's a very

0:29:22.316 --> 0:29:24.876
<v Speaker 1>engineering mindset. Right, let's build a thing.

0:29:25.116 --> 0:29:28.356
<v Speaker 2>Yeah, I'm a project manager by background. I'm a project manager.

0:29:28.436 --> 0:29:31.436
<v Speaker 2>That's what I was. I guess raised doing is running

0:29:31.516 --> 0:29:32.396
<v Speaker 2>huge projects.

0:29:34.636 --> 0:29:37.676
<v Speaker 1>So you've been in biotech for what thirty more than

0:29:37.716 --> 0:29:40.796
<v Speaker 1>thirty years, right, which is ye a long time. And

0:29:40.956 --> 0:29:43.716
<v Speaker 1>I'm curious if you sort of look over the arc,

0:29:43.796 --> 0:29:45.996
<v Speaker 1>if you go back to when you were starting, I'm

0:29:46.036 --> 0:29:50.116
<v Speaker 1>curious what's surprising to you, Like, what has done better

0:29:50.156 --> 0:29:51.876
<v Speaker 1>than you expected? What has done worse?

0:29:54.476 --> 0:29:57.716
<v Speaker 2>That's a really no one's ever asked me that one before. Okay,

0:29:58.916 --> 0:30:03.356
<v Speaker 2>I mean, I think on the better side, I really

0:30:03.516 --> 0:30:09.956
<v Speaker 2>have been in awe and excited about cures I started.

0:30:10.796 --> 0:30:13.916
<v Speaker 2>If you said, hey, we're working on a cure, people

0:30:13.956 --> 0:30:16.716
<v Speaker 2>would look at you and you'd immediately be discredited.

0:30:17.076 --> 0:30:19.196
<v Speaker 1>So what can we cure now that we couldn't cure

0:30:19.196 --> 0:30:19.836
<v Speaker 1>when you started?

0:30:20.036 --> 0:30:23.716
<v Speaker 2>I don't think you necessarily have all of the cures

0:30:23.716 --> 0:30:28.756
<v Speaker 2>for things like do Chanes or Parkinson's or Alzheimer's that.

0:30:28.756 --> 0:30:32.276
<v Speaker 1>Are definitely not for those, But what can we cure?

0:30:32.396 --> 0:30:36.116
<v Speaker 2>I think they're I think they're coming. And that's that's

0:30:36.156 --> 0:30:38.876
<v Speaker 2>my answer to your question of what's really cool about

0:30:38.876 --> 0:30:42.716
<v Speaker 2>biotech the hard parts, the parts that maybe aren't so

0:30:42.876 --> 0:30:46.556
<v Speaker 2>fun is I think we had just a huge bullet

0:30:46.716 --> 0:30:50.796
<v Speaker 2>of garbage ideas that flooded into the industry post COVID.

0:30:51.156 --> 0:30:54.356
<v Speaker 2>The amount of money that came into the industry post COVID,

0:30:54.476 --> 0:30:59.156
<v Speaker 2>the craze around SPACs. It basically drained all the talent

0:30:59.316 --> 0:31:01.836
<v Speaker 2>into a bunch of BS companies, and it took a

0:31:01.836 --> 0:31:03.876
<v Speaker 2>couple of years for that to flood out.

0:31:03.916 --> 0:31:06.756
<v Speaker 1>The curse of too much money. It's funny people mention

0:31:06.876 --> 0:31:08.756
<v Speaker 1>that more often than I would have thought.

0:31:09.396 --> 0:31:12.276
<v Speaker 2>In an industry that's used to creating four hundred companies

0:31:12.316 --> 0:31:14.876
<v Speaker 2>per year. You don't want to create four thousand for two.

0:31:15.556 --> 0:31:20.556
<v Speaker 2>And that's not you just don't have the talent enough

0:31:20.596 --> 0:31:23.516
<v Speaker 2>in the executive and leadership ranks to hold that. And

0:31:23.556 --> 0:31:26.276
<v Speaker 2>where you get that from as your service partners, you're

0:31:26.396 --> 0:31:29.636
<v Speaker 2>your vendors, and then your vendors don't know what they're doing.

0:31:30.316 --> 0:31:32.876
<v Speaker 2>And so we had to live through that. I think

0:31:32.916 --> 0:31:34.916
<v Speaker 2>we're through that. I actually think we're on the other

0:31:34.956 --> 0:31:37.596
<v Speaker 2>side of that, which is I guess time will tell

0:31:37.636 --> 0:31:39.636
<v Speaker 2>as we see what actually breaks through.

0:31:46.916 --> 0:31:51.436
<v Speaker 1>Paul Gariffolo is the co founder and CEO of Locust Biosciences.

0:31:52.076 --> 0:31:54.716
<v Speaker 1>Please let us know what you think of the show.

0:31:55.156 --> 0:31:56.396
<v Speaker 1>Do you want to hear more of, which you want

0:31:56.436 --> 0:32:00.156
<v Speaker 1>to hear less of? Would you go guest ideas? You

0:32:00.196 --> 0:32:03.436
<v Speaker 1>can email us at problem at pushkin dot fm. I

0:32:03.476 --> 0:32:05.996
<v Speaker 1>read all the emails. You can also find me on

0:32:06.756 --> 0:32:11.436
<v Speaker 1>x LinkedIn. Do appreciate all the messages that we get.

0:32:12.196 --> 0:32:15.076
<v Speaker 1>Today's show was produced by Gabriel Hunter Chang and Trina Menino.

0:32:15.196 --> 0:32:17.956
<v Speaker 1>It was engineered by Hans Dale She and edited by

0:32:18.036 --> 0:32:21.156
<v Speaker 1>Lydia Jean Kott. I'm Jacob Goldstein and we'll be back

0:32:21.196 --> 0:32:29.516
<v Speaker 1>next week with another episode of What's Your Problem,