S2, E2: Fauna Bio tapping animal evolution and AI for drug development with CEO Ashley Zehnder and Prof Elinor Karlsson, Broad Institute (MIT/Harvard)
Raising BiotechMay 21, 2024x
2
00:33:50

S2, E2: Fauna Bio tapping animal evolution and AI for drug development with CEO Ashley Zehnder and Prof Elinor Karlsson, Broad Institute (MIT/Harvard)

In this episode of Raising Biotech, Surani explores the truly unique story of Fauna Bio -- a female trio founding team that is studying evolution and the intersection of animal and human genomics to unlock powerful new therapeutics to treat complex human diseases. The company has raised a total of $19 million in financing since its inception (2018), but most recently made headlines for its $494 million collaboration with Eli Lilly to study obesity drugs. Ashley Zehnder, CEO and co-founder talks about her academic beginnings as a veterinarian and serendipitously meeting her fellow co-founders in her post-doctoral group at Stanford. She talks about their fundraising journey, getting through investor doors and how the company hopes to take its novel thesis into the clinic. Surani is also joined by Professor Elinor Karlsson, Director of the Vertebrate Genomics Group at the Broad Institute of MIT and Harvard to give more context on how studying different mammalian species and evolution can give scientists clues to treating common human diseases. She also discusses the significance of artificial intelligence and machine learning in allowing this thesis to shine.


Timestamps:


00:35 - Partner segment: Mindgram.ai

01:05 - Background of Fauna Bio and animal biology thesis

04:01 - CEO Ashley Zehnder's backstory and company formation with Linda Goodman (CSO) and Katie Grabeck (COO)

07:45 - Fauna's first kick-start with the Longevity fund accelerator

09:01 - Fauna's seed financing journey and attracting investors with curiosity

15:10 - Professor Elinor Karlsson (MIT/Harvard) gives some context on Fauna's unique scientific thesis

18:50 - The era of AI/ML making this prime time for exploring Fauna's thesis

22:30 - Partnerships and pipeline: initial focus on cardiopulmonary and obesity assets

29:00 - Challenges ahead for the company to navigate

31:25 - Future mission and visions for the company




This episode is partnered with Mindgram.ai, a research tool powered by AI to better serve the biopharma community. Listeners of the Raising Biotech podcast are able to get an exclusive free trial of Mindgram via this link, using the code: raisingbiotech24


For any comments, questions, feedback or suggestions you can connect directly with Surani Fernando on LinkedIn or email: raisingbiotech@gmail.com


Music composed by: Yrii Semchyshyn (Coma Media)


[00:00:03] Welcome to the Raising Biotech podcast. I'm your host, Surani Fernando and thanks for tuning in.

[00:00:08] This podcast has a mission of exploring biotech's raising impressive funds to develop ambitious medical breakthroughs.

[00:00:15] I speak with CEOs and founders to get origin stories, missions and future visions for the company

[00:00:21] and I also talk with relevant medical and industry experts to get more context on the company's potential

[00:00:26] to really make a difference in healthcare.

[00:00:30] This episode is partnered with Mindgram.ai, a research tool powered by AI to better serve the global biopharma community.

[00:00:38] Whether it's drug targets, trial readouts, patents, posters, abstracts or financing, there's not a lot of data points that this engine isn't tracking.

[00:00:46] But you're also able to do a lot more cool and complex analyses and exports as well as play with an interactive AI co-pilot

[00:00:53] that makes scientific and business development research a lot more productive and kind of fun.

[00:00:58] For a free demo and exclusive trial, click the link in the show notes and use the code raisingbiotech24.

[00:01:04] Now let's get back to the show.

[00:01:06] Today I'm talking to FaunaBio, an early stage company hoping to tap into animal biology and evolution to unlock novel targets to treat human diseases.

[00:01:19] The company was launched in 2018 and has raised a total of $19 million in financing since then

[00:01:25] but has most recently made headlines with an almost $500 million partnership deal with big pharma Eli Lilly to study obesity drugs.

[00:01:34] What this company is doing is truly novel and unique.

[00:01:38] Not only are they trying to tackle human diseases with a completely fresh scientific lens

[00:01:43] but their scientific thesis is really only made possible in this booming new era of artificial intelligence and machine learning.

[00:01:51] In this episode I speak with CEO and founder Ashley Zender.

[00:01:55] She talks about how the company came together with its trio of female co-founders out of Stanford,

[00:02:01] its early financing journey, road to signing big pharma partnerships as well as what the company has in store over the coming years.

[00:02:08] I also speak with Professor Eleanor Carlson from the Broad Institute of MIT and Harvard.

[00:02:13] Eleanor talks about Fauna's scientific thesis and potential to unlock a whole new world of drug discovery.

[00:02:20] I hope you enjoyed the episode.

[00:02:23] Hi Ashley, thanks for joining the podcast.

[00:02:25] Yeah, well thanks so much for having me and excited to be here today.

[00:02:28] Just to kick us off before we dive into the ins and outs of the journey,

[00:02:32] can you give us a brief overview of Fauna by its unique drug discovery approach

[00:02:37] and I guess the general elevator pitch for the company?

[00:02:40] Yeah, so really what Fauna does is we look at extreme genomics and species that have adapted sometimes over hundreds of millions of years

[00:02:48] to really use the same genes that you and I have but in very different ways.

[00:02:52] So it's really taking that use of human genomics and drug discovery to the next level

[00:02:57] by recognizing the fact that there are species that have adapted ways to resist and reverse disease

[00:03:02] that are actually really quite helpful for diseases that plague humanity.

[00:03:06] So these are diseases like obesity, which I'm sure we'll get into later on this podcast,

[00:03:10] CNS disease, heart disease, these really big disease areas that oftentimes

[00:03:16] big pharma are struggling to make new therapeutics work.

[00:03:19] So let's take a step back.

[00:03:21] If you're someone who's been in the industry for a while,

[00:03:24] this probably is a new concept to you.

[00:03:27] Essentially looking at animals to get a better understanding of how to treat complex human diseases.

[00:03:33] It doesn't sound quite right, but after delving a bit deeper,

[00:03:37] it's truly fascinating and requires a little thinking out of the box

[00:03:41] and we'll explore more of the scientific thesis in a little more depth later in the episode.

[00:03:46] But I asked Ashley to take us back to the very beginning.

[00:03:50] What led her, a certified veterinarian, on the path of starting up a company

[00:03:55] that is trying to treat human diseases?

[00:03:58] My background is in veterinary medicines.

[00:04:00] My clinical training was really in exotic animals,

[00:04:03] so mostly in mammals, reptiles and birds and really understanding

[00:04:08] what are the specific diseases that these animals have

[00:04:10] and what are some diseases that some of these animals don't ever seem to get.

[00:04:14] And really wanting to understand more of the molecular mechanisms

[00:04:17] that underlie those differences.

[00:04:19] And so I came to stand for a lot of program that supports veterinarians who want to do PhDs

[00:04:24] to really learn more about conserved biological mechanisms.

[00:04:27] Ashley became interested in understanding more about the power of looking at genes

[00:04:32] through the lens of evolution

[00:04:34] and how that knowledge can help scientists crack the code about specific drivers of disease

[00:04:39] that have remained unchanged throughout evolution.

[00:04:43] After her PhD Ashley transferred into a postdoc at Stanford

[00:04:47] really wanting to do more comparisons between animal and human diseases.

[00:04:51] And that's where she met fellow co-founder and fauna's chief operating officer Linda Goodman

[00:04:56] who was focusing her postdoc research on human genomics.

[00:05:00] You know frankly she'd become quite frustrated as many have over the years

[00:05:04] with how easy it is to find genes that are statistically significant

[00:05:09] when you look across humans in terms of their links to human disease

[00:05:12] but oftentimes don't seem to be driving that disease.

[00:05:15] They don't seem to be very functional and they don't make great drug targets.

[00:05:18] And so she realized that there was a lot of power

[00:05:20] in looking at this through an inherited genomics lens

[00:05:23] and looking at genes that are highly conserved across mammals

[00:05:26] and looking to see what they're doing in disease-relevant context.

[00:05:29] She had always wanted to be a veterinarian

[00:05:31] and I always wanted to do more genomics than work that I did

[00:05:34] so we were collaborating on projects academically.

[00:05:36] And then my other co-founder Katie Grapeck had actually been in the lab longer

[00:05:40] than either of us.

[00:05:41] Her background was in human genomics

[00:05:43] and she was fortunate enough to rotate in the lab

[00:05:46] Dr. Sandy Martin at UC Denver

[00:05:48] who was studying genomics of the 13-lined ground squirrel.

[00:05:52] So this is a species that is a highly adapted hypranator.

[00:05:55] They hibernate for six to seven months out of the year

[00:05:58] on a very rigid genomically driven clock

[00:06:01] and they go through some of the most extreme physiology that we see in mammals.

[00:06:05] Okay, so just to jump in here

[00:06:08] this 13-lined ground squirrel becomes pretty important to Fauna's overall story.

[00:06:13] This specific species of squirrel is so interesting to study

[00:06:17] because of its ability to hibernate using colnamalian genes that you and I have.

[00:06:23] These squirrels take their body temperature down to almost freezing

[00:06:27] where they stay for a couple of weeks at a time and then rapidly rewarm.

[00:06:31] That cycle happens multiple times over a six month period

[00:06:35] and to keep that cycle going their metabolism becomes around 200 times faster

[00:06:41] but that also leads to a blood oxygen supply mismatch.

[00:06:45] That's not easy on any mammalian heart.

[00:06:49] If this happened to a human you'd likely see a heart attack or a stroke

[00:06:54] but amazingly these squirrels are left with minimal tissue damage

[00:06:58] and are able to repair any damage by the end of the hibernation season.

[00:07:02] And so the genes driving that resilience became a point of interest

[00:07:06] for Katie's research at Stanford which she also brought over to Fauna

[00:07:10] as chief scientific officer.

[00:07:13] So the three of us are working on different academic projects during our postdoc

[00:07:17] but recognizing that we each had this different piece of the puzzle

[00:07:21] in terms of how do you start to use data from this highly adapted species

[00:07:25] to better inform how we think about using genomics for human health.

[00:07:29] So in a very organic and almost serendipitous union of academic minds

[00:07:34] the idea for the company was born

[00:07:37] and despite all three founders completing postdocs at Stanford

[00:07:40] Fauna is not a Stanford spin out.

[00:07:43] The team got its first kickstart in 2018

[00:07:46] from venture capitalist Laura Deming from the longevity fund.

[00:07:50] Laura happened to give a talk at Stanford in 2018

[00:07:53] met the aspirational trio and invited them to join the funds accelerator program

[00:07:58] focused on aging that accelerator gave the founders a generous half a million dollars

[00:08:04] some lab space and some early startup grooming.

[00:08:08] And with that also came a lot of support in terms of really learning how to transition

[00:08:13] from being primarily academics to thinking about how to actually run a company

[00:08:18] and so a lot of the early work we did in terms of setting up the very first version

[00:08:22] to the platform and what kinds of data sets we were integrating to do that

[00:08:26] happened during that accelerator. And then honestly just learning how to talk about our science

[00:08:30] again we were all three academics and so learning how to speak about the work

[00:08:34] that we were doing in a way that was accessible to a much more general audience

[00:08:38] something that we started to learn during the accelerator

[00:08:41] and I think we're still learning today and to some extent but definitely that was a lot of help.

[00:08:45] In the early work in the accelerator the team were able to predict some therapeutic

[00:08:49] compounds that might replicate types of disease resistance seen in that special

[00:08:54] squirrel. They were testing in some in vitro lab models of human diseases

[00:08:59] and generated data sets that showed credibility in their ceasars.

[00:09:03] From there it was time to approach VCs for some seed financing

[00:09:07] and they were able to close an initial 4.1 million dollars in early 2019

[00:09:12] led by True Ventures a Silicon Valley based VC firm.

[00:09:16] True Ventures really likes to fund companies that are really at the edge of science

[00:09:21] and do their work in kind of with deep tech in terms of bio

[00:09:24] and so we closed that round really only a few months after starting the company

[00:09:28] it was very very early 2019. So yeah still had cash in bank from the H1 accelerator

[00:09:33] but we were pretty lean team at the time the money from the seed round

[00:09:36] was really to prove out and generate some early in vivo data

[00:09:40] from some early compound that predicted from the platform

[00:09:43] and we did that pretty efficiently and then we raised really a seed extension

[00:09:46] in 2021. That seed extension was for 9 million dollars led by Lifeforce Capital

[00:09:52] with other names including Boom Capital and Pacific 8 Ventures

[00:09:56] among other investors focused on life sciences and genomics companies

[00:10:00] intersecting with cutting edge technology.

[00:10:04] That money allowed forna to branch out into different disease areas

[00:10:07] to broaden its data set while it also expanded its leadership team

[00:10:11] to help the company build a drug program.

[00:10:14] One of the unique aspects of fauna as a platform company is that our lead asset

[00:10:19] and our second program have legitimately come out of the platform

[00:10:23] they were not in license from somebody's academic work

[00:10:26] or had been worked on prior to an in license

[00:10:29] these were compounds that we found with the first version of the platform

[00:10:32] that our developing is and stroke candidates.

[00:10:36] Fauna's formative years and the amount they were able to raise

[00:10:39] in just a few months of operation is quite impressive.

[00:10:42] Also in 2020 they signed a research collaboration with big farmer

[00:10:46] Novor Nordisk to help discover novel obesity drugs.

[00:10:51] But knowing how hard it can be to crack biotech VCs

[00:10:55] I automatically assumed that it might have been quite challenging

[00:10:58] for fauna to get in some doors.

[00:11:00] The three founders are millennials, they're female, academics

[00:11:04] first time founders and they're pitching something completely foreign

[00:11:09] to biotech investors studying animals in order to treat humans.

[00:11:14] So I asked Ashley what the fundraising process was like for the female

[00:11:18] founding trio and if they came across any challenges getting

[00:11:22] in some doors.

[00:11:23] Yeah, it's interesting.

[00:11:25] As you can imagine, we get this question relatively often.

[00:11:28] It's hard sometimes you mean to answer away from the perspective

[00:11:31] that I've only been a part of this particular founding team

[00:11:35] and founding this particular company.

[00:11:37] So I haven't had the experience of either being in a founding team

[00:11:40] that's being led by male CEO or having pitched as a male CEO.

[00:11:44] So I will say that is helpful to three of us has decades

[00:11:49] of experience in the fields that we come from and are clearly

[00:11:52] generating really compelling assets and obviously high value partnerships

[00:11:57] from the approach that we're taking.

[00:11:59] So even though we are all first type founders, we've accomplished a

[00:12:03] lot in fairly short period of time.

[00:12:05] And so I think at some point now the results start to speak

[00:12:08] for themselves in terms of clearly we're able to build and scale

[00:12:11] a company in a very new space.

[00:12:13] I think one of the differences of being on the west coast is

[00:12:16] that there are a lot of VCs particularly early stage.

[00:12:19] Talk about very early precedencies, age investors who won

[00:12:22] their founders to be close to the science.

[00:12:24] They're looking for academic founders who they can train

[00:12:27] to be company leaders and not necessarily well established people

[00:12:31] who are coming out of biotech or pharma to lead companies like this.

[00:12:34] And so the VCs that we were working with who you know,

[00:12:37] were in Laura's network were largely these types of investors

[00:12:39] who wanted to fund academic founders who were very close

[00:12:42] to the science and identifying teams that were really uniquely

[00:12:45] suited to the problems they were solving.

[00:12:47] And it was hard to argue for a better team problem fit

[00:12:51] than the founding team at Fana for this particular problem.

[00:12:54] And so from that perspective, I think it was fairly straightforward.

[00:12:57] And while for many biotech founders the biggest challenge is

[00:13:00] just getting a meeting with an investor.

[00:13:02] Ashley said that thanks to their truly unique and novel thesis

[00:13:06] they didn't really have that problem.

[00:13:08] Curiosity worked in their favor.

[00:13:10] We do benefit from the fact that we are doing something

[00:13:13] legitimately different.

[00:13:15] I think it's hard if you're doing something that is maybe

[00:13:18] a slightly different flavor of something that a lot

[00:13:20] of other people are doing and then trying to get those

[00:13:22] intro meetings.

[00:13:23] I do think when you pitch a company based on 13 line

[00:13:26] ground score biology to investors, they're willing to hear

[00:13:30] about it, right?

[00:13:32] They may not understand it all of that, but they don't

[00:13:34] take the meetings because they're curious, frankly.

[00:13:37] And we've had investors tell us,

[00:13:39] I've literally never heard this before.

[00:13:41] And that's pretty hard for investors who have sometimes

[00:13:43] been doing it for decades.

[00:13:45] You know, it is refreshing, I think, for people to hear

[00:13:47] something that is truly novel and an area where there

[00:13:51] is so much development and so many people are applying

[00:13:54] AI to data sets in different ways, but oftentimes using

[00:13:59] very similar types of data, and BANA comes in with a

[00:14:02] very different approach.

[00:14:04] And when it came to the initial syndicate of VCs that

[00:14:06] wanted an early piece of the fauna pie, Ashley said

[00:14:09] that profile was also very clear.

[00:14:12] With a company like fauna people either really

[00:14:15] intuitively understand the problem where we got

[00:14:18] really good traction with investors and continue to do

[00:14:20] today is investors who have spent quite a lot of time

[00:14:23] looking at platforms in biotech, particularly looking

[00:14:26] at either genomics platforms or companies that are

[00:14:29] really searching unknown search bases in different ways

[00:14:32] and using different types of AI and ML to do that.

[00:14:35] We're obviously focused on genomics and different types

[00:14:38] of expression data already sequencing, et cetera.

[00:14:40] There are other companies in similar portfolios that

[00:14:44] are mining plant data, that are mining protein data.

[00:14:47] And so it's about really enlarging that search space

[00:14:50] that we could be mining for improvements in human health

[00:14:53] and really getting away from, what ends up being

[00:14:55] a fairly myopic focus on the idea that we can only

[00:14:59] learn about human biology by studying data

[00:15:01] directly from humans.

[00:15:02] And then it's to be a bit of a false premise.

[00:15:04] So we're leaving a lot of really interesting biology

[00:15:07] that can be really impactful on the table by doing that.

[00:15:10] So let's get a better understanding of the

[00:15:12] technology and why it's clearly so valuable.

[00:15:15] I spoke with comparative genomics expert, Eleanor Carlson,

[00:15:18] director of vertebrae genomics at Harvard and MIT's Broad

[00:15:21] Institute.

[00:15:22] And she's also a professor at the University of Massachusetts

[00:15:25] Medical School.

[00:15:26] Eleanor has been connected to Fauna since its inception,

[00:15:29] having met co-founder Linda Goodman, now chief operating

[00:15:32] officer of Fauna at the Broad Institute in the 20 teens.

[00:15:36] She is now currently one of Fauna's scientific advisors.

[00:15:40] I'm extremely excited about what Fauna is doing

[00:15:43] because all of my research is focused on how we can use

[00:15:48] other species to try and understand not just how DNA

[00:15:51] works, but also what happens when things go wrong

[00:15:54] and whether we can use that information to try and find

[00:15:57] better ways of treating diseases.

[00:16:00] And that's exactly what Fauna has been focusing on.

[00:16:03] Eleanor is well known in her field for her large

[00:16:05] comparative genomics project called the Zoonomia project.

[00:16:09] That project sequenced the DNA of over 100 different

[00:16:13] new species and compared them to over 200 different

[00:16:17] mammalian species.

[00:16:18] And that has been pretty insightful in her research.

[00:16:22] And in order to get DNA from those animals,

[00:16:24] I had the opportunity to work with a lot of absolutely

[00:16:27] fantastic people working in ecology and evolution,

[00:16:31] trying to understand other species,

[00:16:33] other species other than humans.

[00:16:35] And that was when I had the first opportunity to really

[00:16:38] start learning about the amazing things that other

[00:16:41] species can do that humans can't.

[00:16:43] I mean, I always knew that hibernation was a thing

[00:16:46] that bears did, but it turns out that it's not just bears.

[00:16:49] There's many, many different species that can hibernate.

[00:16:52] And it's actually sort of an amazing physiological feat.

[00:16:56] You've basically got these animals that every year

[00:17:00] they eat like crazy, they get incredibly obese,

[00:17:03] they sort of climb into a hole or into a den

[00:17:07] and when it gets cold out, and then they hardly move at all

[00:17:11] for months on end.

[00:17:12] And they lose all of that weight very quickly.

[00:17:15] And somehow at the end of it in the spring,

[00:17:17] they come out of their den and they're fine.

[00:17:21] They don't have any of the health problems that

[00:17:23] happen to humans when we go through these cycles

[00:17:25] of weight gain and weight loss or diabetes,

[00:17:29] you know, from having changes in their sugar levels

[00:17:31] and all this kind of stuff.

[00:17:32] You know, and I remember thinking about it one day

[00:17:34] and I was like, so these animals basically don't move

[00:17:36] for months on end and then they're totally fine

[00:17:39] and humans kind of get onto an airplane for six hours

[00:17:42] and we have to worry about blood clots.

[00:17:44] Like how are they doing this and why can't we?

[00:17:47] And so I think from my perspective,

[00:17:49] it was sort of that realization of how exceptional

[00:17:52] other species are.

[00:17:54] Eleanor mentioned that another important piece

[00:17:57] to Fauna's thesis is looking at how evolution

[00:18:00] has allowed species to adapt to adverse conditions.

[00:18:04] We're looking at an evolved trait.

[00:18:07] And the reason that's important is that evolution

[00:18:10] doesn't tolerate things that are ultimately harmful

[00:18:14] to the ability of that animal to survive and reproduce.

[00:18:18] And so in a sense, whatever changes are allowing

[00:18:21] species to perform these physiological feats.

[00:18:25] Evolution has already sort of said,

[00:18:28] this is an okay thing to do.

[00:18:30] This is a tweak you can make to a mammal's physiology

[00:18:34] that will allow it to do this incredible thing

[00:18:36] but isn't going to hurt it in other ways.

[00:18:39] And for me, as far as a starting point

[00:18:42] for developing a new therapeutic,

[00:18:44] that seems like a really exceptionally powerful place to start.

[00:18:48] I was chatting with Eleanor about what makes Fauna's approach

[00:18:51] so novel and unique

[00:18:53] and why something like this is only being done now.

[00:18:56] I mean, animals and these mammalian species

[00:18:59] have been around for forever.

[00:19:02] That is a really interesting question

[00:19:04] because there's like multiple different levels to it.

[00:19:07] I think at the very first level to it

[00:19:09] is just that humans tend to be very literal thinkers.

[00:19:12] And so when we think about studying diseases

[00:19:15] and trying to figure out how to treat diseases

[00:19:18] and how to cure diseases,

[00:19:19] we think that's a disease that humans get

[00:19:21] so we're going to go and study a whole lot of humans

[00:19:23] to try and figure out what causes that disease.

[00:19:26] And sometimes that can work

[00:19:28] but I think we often forget that

[00:19:31] while humans are different in some important ways

[00:19:34] from other animals and other species,

[00:19:37] we're not nearly as different

[00:19:38] as we sometimes like to think we are.

[00:19:40] For the most part, everything that's in a human

[00:19:43] is also in a dog or squirrels.

[00:19:46] We've both got hearts, we've got brains,

[00:19:48] we've got blood vessels, we've got four limbs.

[00:19:51] You know, we're much more alike than we are different.

[00:19:54] And so by studying other species

[00:19:56] it's actually not that far away from studying humans.

[00:19:59] And it gives us access to something

[00:20:01] that is incredibly powerful, which is evolution.

[00:20:04] And so the reason why species are different

[00:20:07] from one another is that over hundreds of millions of years

[00:20:10] DNA changes, it evolves,

[00:20:13] and species adapt to particular environments

[00:20:16] and they acquire certain characteristics

[00:20:18] that allow them to survive in those environments.

[00:20:21] And so by studying other species

[00:20:24] we sort of get the ability to harness the power

[00:20:27] of a clinical trial that's been going on

[00:20:30] for hundreds of millions of years.

[00:20:33] We could never do this ourselves.

[00:20:35] You know, there's absolutely no capacity

[00:20:37] for us to go into a research lab

[00:20:39] and redo what has taken, you know, evolution

[00:20:42] hundreds of millions of years.

[00:20:44] And so now we can actually start harnessing

[00:20:47] the output of that very, very, very long experiment

[00:20:52] by using new technologies that have only become available

[00:20:55] in the last few years.

[00:20:57] That last point that Eleanor made is really quite important

[00:21:00] given that AI, ML, Artificial Intelligence,

[00:21:03] Machine Learning has been a growing phenomenon

[00:21:06] over the last decade or so,

[00:21:08] fauna's launch becomes very timely and relevant.

[00:21:11] If this idea had been drummed up 30 years ago, for example,

[00:21:14] there would be no feasible or cost-effective way

[00:21:17] to explore the thesis

[00:21:19] and these new therapeutic possibilities.

[00:21:22] We've gotten so good at making data at this point in time

[00:21:26] and so bad at figuring out what to do with it

[00:21:28] that it's like finally at last

[00:21:30] we've got all these powerful tools

[00:21:32] to really start taking advantage of the kind of biotechnology

[00:21:36] that let us start creating these datasets.

[00:21:38] And I have to give a lot of respect to the people out there

[00:21:41] in the world of scientists and the ecologists,

[00:21:45] the conservation biologists who have been working in these species

[00:21:48] for decades and are the reason why we know all of this about them.

[00:21:52] It is not easy to go into the field

[00:21:55] and study some of these animals

[00:21:57] and they've been making incredibly careful measurements

[00:21:59] of their physiology and their behavior

[00:22:01] and everything for many years.

[00:22:03] I think what's happened now is that

[00:22:05] on the kind of biotechnology side

[00:22:08] we have this whole new huge suite of tools

[00:22:11] for studying and manipulating DNA

[00:22:14] that allows us to start going from this observational base,

[00:22:19] you know, hey look, these species can do some really interesting stuff

[00:22:22] to actually trying to figure out

[00:22:24] the biological underpinnings of those traits.

[00:22:27] Forna is working on its own pipeline

[00:22:30] as it works in parallel to help bigger pharma partners

[00:22:32] with their own drug discovery efforts.

[00:22:35] And while the company is remaining quite tight-lipped

[00:22:37] on exactly what it's working on for its lead assets,

[00:22:40] for example there's no pipeline on its website,

[00:22:43] Ashley gave us some color on what stage it's at

[00:22:46] with its own pipeline assets.

[00:22:48] Now we're at a point where we're really just at the end

[00:22:51] of a lead optimization process for a lead program

[00:22:54] which is in the cardiopulmonary space

[00:22:56] and that is going remarkably well

[00:22:58] and so really transitioning from broad platform

[00:23:01] to that form really discovery into therapeutic asset development

[00:23:05] and bringing on the team that we need to do that as well.

[00:23:08] And then really working on partnerships,

[00:23:10] I think the unique aspect of the forna approach

[00:23:13] is that we are generating data

[00:23:15] that it sometimes is applicable to some very large

[00:23:18] and complex disease areas.

[00:23:20] Like I said obesity clearly is one of them.

[00:23:22] We've had really productive conversations

[00:23:24] with pharma interested in new approaches to heart failure

[00:23:26] and also CNS disease.

[00:23:29] We've had more data and utility to the platform

[00:23:32] than a small lead biotech team can accomplish by themselves.

[00:23:35] We started working with Nivonordis in late 2019, early 2020

[00:23:41] on an early discovery program in obesity

[00:23:44] and then we ended up expanding that program

[00:23:46] and actually ended up working with Lely-Lely

[00:23:49] on a program in obesity which we announced at the end of last year.

[00:23:52] Speaking about that partnership with Lely,

[00:23:54] that deal was announced in December 2023

[00:23:57] and under the terms of that agreement

[00:23:59] forna bio will receive an upfront payment

[00:24:01] including equity investment with potential milestone payments

[00:24:04] of 494 million.

[00:24:06] Forna is also eligible for royalties on any future sales.

[00:24:10] If you ask me, that's not too shabby of a deal

[00:24:13] for a company that had been around for just over five years.

[00:24:16] I asked Ashley how that partnership came about

[00:24:19] whether they were actively approaching potential partners

[00:24:22] or whether they had big pharma already knocking on their door.

[00:24:26] It's a mix of both.

[00:24:27] We certainly had some disease areas that we knew

[00:24:29] were going to be good areas for partners pretty early on.

[00:24:32] Obesity actually was on our radar.

[00:24:33] There were a number of reasons why the 13-in-ground scroll

[00:24:36] is an amazing model for obesity discovery

[00:24:38] and when we started looking at this space in 2019,

[00:24:41] there were not that many big pharma

[00:24:43] that were willing to make bets in the obesity space.

[00:24:46] I feel that has changed very rapidly

[00:24:48] in a very short period of time.

[00:24:50] Nivonordisk at that time was one of the companies

[00:24:52] that was very very committed to obesity discovery

[00:24:54] that we intentionally made some connections to our network

[00:24:57] to folks who were leading obesity discovery.

[00:24:59] Obonordisk had a really productive set of collaborations with them

[00:25:02] but then we've also had pharma reach into us,

[00:25:05] particularly since the announcement of our work with Eli Lilly

[00:25:08] for interest in other disease areas, particularly around CNS.

[00:25:12] We've had some folks reach in and ask specifically

[00:25:14] kind of what can we do in these other disease areas

[00:25:17] and so it's been a little bit of both.

[00:25:19] Ashley explained that a lot of potential pharma partners

[00:25:21] wanted to see exactly how fauna's data dove-tailed

[00:25:24] with known human disease networks and human data.

[00:25:27] So a lot of that financing that they raised went towards

[00:25:30] integrating human genomic data onto its platform

[00:25:33] and now around 40% of that platform called Convergence

[00:25:37] is human data, hence why it's now drawing a lot of pharma interest.

[00:25:43] So the entire UK Biobake is integrated there.

[00:25:45] We have close to 200 functional genomic studies

[00:25:48] and a lot of that is human data that are integrated as well

[00:25:51] and allows us to very rapidly identify which networks we're finding

[00:25:55] in species like the 13-ling crowns for all

[00:25:57] and how they're modified in human diseases

[00:25:59] and that was a big request from some of the big pharma partners

[00:26:03] we were working with to really see that data put together.

[00:26:06] Obesity will likely be a big focus for the company

[00:26:08] given the current hype around drugs like Novenordisk's

[00:26:11] Semiglutide, commonly known as Ozenpic or Wegovi,

[00:26:15] as well as Lily's Tezepetide, also known as Mungaru and Zepbown.

[00:26:20] The FDA says there's still a shortage of the drugs.

[00:26:23] These are already raking in huge multi-billion dollar sales

[00:26:27] for diabetes and obesity, as well as a lot of off-label use

[00:26:31] for straight out, plain weight loss.

[00:26:33] And given the demand, there's a lot more room

[00:26:36] for other pharma players to get involved with better drugs

[00:26:39] and we're seeing that now.

[00:26:40] Ashley says that Forna's 13-lined ground squirrel

[00:26:44] becomes a very valuable species to study

[00:26:47] when it comes to the broader obesity conversation.

[00:26:50] You know, 13-lined ground squirrel is a species

[00:26:52] that doubles in body weight every year

[00:26:54] and it goes through really rapid periods

[00:26:56] of metabolic rate increase over the hibernation time span.

[00:26:59] So during those rapid re-rousal periods

[00:27:02] they increase their metabolism 235 fold in an hour.

[00:27:06] So there's very few models of human data

[00:27:09] that you can look at that have that extreme metabolic flexibility

[00:27:12] so for pharma that are interested in things like

[00:27:15] how do you reset human metabolism to a new set rate?

[00:27:18] How do you modify energy expenditure in a very critical way?

[00:27:21] There's very few other models that are as useful.

[00:27:24] One of the concerns around drugs like Wagovie for obesity

[00:27:27] is that while these drugs are showing huge success

[00:27:30] on the weight loss front,

[00:27:31] there are some concerns around unwanted loss of muscle mass.

[00:27:35] But the 13-lined ground squirrel exhibits something completely different.

[00:27:39] These are species that, even though they are motionless

[00:27:42] under the ground for seven months and a year,

[00:27:45] they don't lose lean muscle mass.

[00:27:47] They actually start to rebuild lean muscle

[00:27:49] toward the end of the hibernation period

[00:27:51] and of course maintenance and rebuilding of lean muscle

[00:27:54] is a huge topic right now.

[00:27:55] The prevalence and use of the GLP-1 agonist

[00:27:58] sets one of the side effects that everybody is concerned about.

[00:28:00] And fauna's genetic data on this species

[00:28:02] will likely be something of high interest

[00:28:04] to companies developing next generation obesity drugs.

[00:28:08] We've tried for years to figure out how to offer people tools

[00:28:13] to better manage diseases like obesity and diabetes

[00:28:17] and heart disease.

[00:28:18] And I think that having a whole new tool set for doing that

[00:28:24] is something that's just obviously needed.

[00:28:26] Like we need a different perspective on this problem.

[00:28:29] And the fact that we know that there are other species out there

[00:28:32] that don't have these diseases,

[00:28:35] is that actually have evolved protections against

[00:28:38] the health side effects that harm people

[00:28:40] actually means that this is for me,

[00:28:44] at this point in time an opportunity

[00:28:46] that hasn't been explored yet and really needs to be.

[00:28:49] And so I'm really excited to see what happens

[00:28:51] especially with something like obesity

[00:28:53] which really is one that makes a lot of sense

[00:28:55] in terms of what we know about hibernation.

[00:28:59] But even with some great initial strides

[00:29:02] impressive financing and partnerships

[00:29:04] Forna will no doubt encounter unique challenges

[00:29:07] as it navigates uncharted borders.

[00:29:10] And I asked Eleanor to hypothesize on what the company

[00:29:13] has to carefully think about moving forward.

[00:29:16] I can tell you what I've been thinking about most

[00:29:18] as far as the challenges in this field more generally

[00:29:21] and the work that we're doing still

[00:29:23] on trying to understand things like hibernation

[00:29:26] and that's actually sort of,

[00:29:28] it's sort of the flip side of it being an evolved trait

[00:29:31] which is that it's also probably going to be

[00:29:34] a complex trait meaning that changes in many,

[00:29:37] many, many different genes are actually involved

[00:29:40] in conferring these traits on a species.

[00:29:43] It's not like they just went and changed one gene

[00:29:45] and they said, oh yeah we're just going to change this one protein

[00:29:47] and then voila the species can do absolutely amazing things.

[00:29:50] It's like something changed and then something changed

[00:29:52] and then something changed in response

[00:29:54] and it's basically you're going to have lots and lots

[00:29:56] of different tweaks to physiology that are feeding into

[00:29:59] the ability to deal with the side effects of obesity

[00:30:01] or not become obese in the first place.

[00:30:03] And so I think one of the biggest challenges

[00:30:05] is going to be figuring out how you take that complexity

[00:30:08] of kind of real world evolution and identify key drivers

[00:30:13] that would be the basis of actually developing a therapeutic

[00:30:16] that had the efficacy that our medical system expects

[00:30:19] from a therapeutic.

[00:30:21] And when it comes to getting therapeutics into the clinic

[00:30:23] a big focus is the risk benefit profile

[00:30:26] and I myself wondered whether Fauna's unique approach

[00:30:29] might heal drug targets that are potentially safer to hit.

[00:30:33] You know, I hope so.

[00:30:35] It's a field that is just really starting to grow now

[00:30:39] that genomics is scaled up to a level

[00:30:41] that we can actually start comparing hundreds of species

[00:30:44] and so it's not likely have a track record

[00:30:46] of a whole bunch of other drug development efforts

[00:30:49] that have gone down the root of trying to follow

[00:30:51] something that was discovered through evolutionary signals

[00:30:54] in order to figure out how well it worked.

[00:30:56] But I do think that starting from the standpoint of knowing

[00:31:01] that a physiological change is something

[00:31:03] that was made in another species

[00:31:05] and wasn't harmful and was effective, you know,

[00:31:09] when we develop a drug now

[00:31:11] we tend to go try it in a couple of other species

[00:31:13] you know laboratory models just to check that it's safe

[00:31:15] and in a sense some of those safety trials

[00:31:18] have already been done before you start the process

[00:31:21] when you start from an evolutionary standpoint.

[00:31:24] Fauna is still very early in its journey.

[00:31:27] It's really at the start and as I usually like to ask CEOs

[00:31:30] where they see the company from a business perspective

[00:31:33] five to ten years down the road,

[00:31:35] whether it be M&A, IPO or something else,

[00:31:37] I think it's a little bit too early

[00:31:39] for Fauna to answer that question

[00:31:41] but it's really an exciting time for the company

[00:31:43] as it starts to narrow down its pipeline,

[00:31:46] work with bigger pharma partners

[00:31:48] whilst also broadening its research

[00:31:50] to study different species.

[00:31:52] I think the potential for the Fauna approach

[00:31:54] is extremely broad

[00:31:56] and aside from what we can learn from 13-Line Ground Scroll

[00:31:59] which has been a lot of the focus for our early discovery efforts,

[00:32:02] there are many other species that have really compelling disease resistance traits

[00:32:05] so we can study through this approach.

[00:32:07] One example is a species called the spining mouse

[00:32:09] which is not a hibernator

[00:32:11] but they have their remarkable ability to repair

[00:32:14] damage to many organs in the body

[00:32:16] without any scarring or fibrosis

[00:32:18] including things like the brain and the spinal cord and kidney

[00:32:21] tissues that are normally considered to not essentially be regenerative

[00:32:25] so our internal innovations team has identified

[00:32:28] over 30 species that have really compelling disease resistance traits

[00:32:32] that we could study through a very similar approach

[00:32:34] that covers a very large variety of disease areas

[00:32:38] so we're just trying to be very mindful

[00:32:40] in terms of how we progress assets from the platform

[00:32:43] and make sure that we have partners for those assets

[00:32:45] and can fill meaningful drug programs from the data

[00:32:48] but their larger potential is there

[00:32:50] and there's very few other companies that are currently working in that space

[00:32:53] so there's a lot of low ocean in terms of looking at this novel types of genomics data

[00:32:57] and linking it to human disease

[00:32:59] so I think we'll be doing some of this through partnerships

[00:33:01] and some of this we'll do internally.

[00:33:03] So that's it for another episode of Raising Biotech

[00:33:09] definitely an interesting and unorthodox approach to drug discovery

[00:33:13] that will no doubt be fascinating to follow

[00:33:15] including Fauna's partnership with NASA

[00:33:18] to one day send hibernating squirrels to space

[00:33:22] Thanks to my guests Ashley Zender and Eleanor Carlson

[00:33:25] for coming onto the podcast

[00:33:27] and sharing their incredible insight

[00:33:29] and thanks to you for tuning in

[00:33:32] If you liked the episode please remember to subscribe

[00:33:34] and leave us a review on Apple or Spotify

[00:33:37] I'm Serani Fernando and I'll see you next time

[00:33:40] on Raising Biotech