Ep207: Jason Coloma on Genetic Medicines for Kidney Diseases
Episode
77 min
Read time
3 min
Topics
Productivity, Relationships, Investing
AI-Generated Summary
Key Takeaways
- ✓Genetics-first target selection: Maze identifies drug targets by mining large population genetics databases — UK Biobank, FinnGen — to find gene variants that either cause disease or protect against it. The APOL1 program emerged from discovering that some individuals carrying two disease-risk copies of the variant never developed kidney disease, pointing to a protective secondary variant that a small molecule could phenocopy therapeutically.
- ✓Modality focus reduces compounded risk: When taking on novel biology targets with uncertain mechanisms, pair them with proven drug modalities rather than novel ones. Maze deliberately narrowed from multiple modalities — antisense, small molecules — to oral small molecules exclusively, reasoning that stacking biological uncertainty on top of chemistry uncertainty creates an unfavorable risk profile for a capital-constrained company.
- ✓Regulatory pathway clarity attracts capital: Kidney disease attracted little pharma investment for a decade partly because outcome-based trials required large patient numbers over long timescales. The FDA's cardiorenal division, working with academic consortia like the PARASOL group at Michigan, has opened biomarker-based endpoints — including urine protein reduction — that compress development timelines and make the area fundable for smaller biotechs.
- ✓Partnership contingency planning: When the FTC blocked Maze's Sanofi partnership for the Pompe disease program on antitrust grounds, the business development team had already been cultivating a backup relationship with Shionogi. The replacement deal closed within roughly six months and on better financial terms than the original, demonstrating that parallel relationship-building with multiple potential partners before a deal closes is a concrete risk mitigation strategy.
- ✓Disease area focus compounds expertise: Rather than spreading across multiple therapeutic areas as originally scoped under the founding CEO, Coloma narrowed Maze entirely to kidney disease. This concentration allowed the team to build deep nephrologist relationships, track regulatory evolution at ASN conferences, and develop internal chemistry expertise around renal biology — advantages that became visible when the IPO environment tightened and investors demanded clearer differentiation.
What It Covers
Jason Coloma, CEO of Maze Therapeutics, traces the company's path from a $190M Third Rock-backed startup to a newly public biotech with two phase two kidney disease programs — APOL1-directed therapy and SLC6A19 — built on human genetics datasets including UK Biobank and FinnGen to identify novel small molecule drug targets.
Key Questions Answered
- •Genetics-first target selection: Maze identifies drug targets by mining large population genetics databases — UK Biobank, FinnGen — to find gene variants that either cause disease or protect against it. The APOL1 program emerged from discovering that some individuals carrying two disease-risk copies of the variant never developed kidney disease, pointing to a protective secondary variant that a small molecule could phenocopy therapeutically.
- •Modality focus reduces compounded risk: When taking on novel biology targets with uncertain mechanisms, pair them with proven drug modalities rather than novel ones. Maze deliberately narrowed from multiple modalities — antisense, small molecules — to oral small molecules exclusively, reasoning that stacking biological uncertainty on top of chemistry uncertainty creates an unfavorable risk profile for a capital-constrained company.
- •Regulatory pathway clarity attracts capital: Kidney disease attracted little pharma investment for a decade partly because outcome-based trials required large patient numbers over long timescales. The FDA's cardiorenal division, working with academic consortia like the PARASOL group at Michigan, has opened biomarker-based endpoints — including urine protein reduction — that compress development timelines and make the area fundable for smaller biotechs.
- •Partnership contingency planning: When the FTC blocked Maze's Sanofi partnership for the Pompe disease program on antitrust grounds, the business development team had already been cultivating a backup relationship with Shionogi. The replacement deal closed within roughly six months and on better financial terms than the original, demonstrating that parallel relationship-building with multiple potential partners before a deal closes is a concrete risk mitigation strategy.
- •Disease area focus compounds expertise: Rather than spreading across multiple therapeutic areas as originally scoped under the founding CEO, Coloma narrowed Maze entirely to kidney disease. This concentration allowed the team to build deep nephrologist relationships, track regulatory evolution at ASN conferences, and develop internal chemistry expertise around renal biology — advantages that became visible when the IPO environment tightened and investors demanded clearer differentiation.
- •Board composition for commercialization readiness: As Maze moves toward potential pivotal trials, Coloma recruited board members — including the CEO of Incyte and BridgeBio's Neil Kumar — specifically because they have direct experience taking drugs from development through commercial launch. For biotech CEOs targeting an independent commercial model, identifying board members who have navigated that specific transition, rather than only drug discovery or finance experts, fills a concrete operational knowledge gap.
Notable Moment
When Coloma first told investors Maze would focus on kidney disease, multiple told him to avoid the area entirely — citing unclear regulatory pathways, long trial timelines, and a decade without new approvals. He proceeded anyway, and the field has since attracted Vertex, AstraZeneca, and multiple academic consortia validating the approach.
Episode Transcript
Welcome to the long run. This is a podcast for biotech adventurers. I'm your host, Luke Timmerman. Today's guest is Jason Coloma. Jason is the CEO of South San Francisco based, Maize Therapeutics. The company is developing small molecule drugs to halt or potentially reverse kidney diseases. The drug discovery work at Maize is grounded in human genetics. They look at large pools of data to see how variants of one kind or another can make people sick or protect them from falling ill. Mays went public in early twenty twenty five five after surviving several lean years of biotech financing. A key partnership unraveled after the federal government sought to block it on antitrust grounds. Mays found a way to bounce back and enticed a new partner to support that program. Those battles have strengthened the company's culture. Mays is now in position to find out in the next year or so whether or not its two lead programs, an APOL1 directed kidney drug and another aimed at SLC six a 19, are good enough to pass phase two clinical trial scrutiny. Like many biotech industry leaders, Jason didn't take a linear path into this moment of possibility in medicine, and that's part of what makes his story and Maze's story so interesting. Now before we get started, a word from the sponsor of the show, AlphaSense. So far, 2026 has been a year of transition for health care and life sciences. Over the first half of this year, the AlphaSense health care research team analyzed individual stories moving the needle across the life sciences ecosystem as part of the sector spotlight series. The eight spotlights can be downloaded at timbermanreport.com. They feature the high stakes battles for new drug markets, like oral GLP ones and targeted radioligand therapies, a resurgent biotech IPO market, and more. Follow the sector's key debates during the second half of twenty twenty six and beyond with the latest sector spotlights directly in AlphaSense. And quick question. When was the last time a CRO told you what something cost before you signed an NDA, sat through two scoping calls, and waited a week for a scope of work? In bioanalysis, pricing gets treated like a closely guarded secret. Dashbio thinks that's backward. It publishes pricing publicly on its website and even has a calculator that shows how the price changes if you redesign your study. You can see what your study costs before you talk to a human being. No surprise line items, no it depends, no games. Dash was built to be the bioanalysis company that's actually straightforward to work with. Transparent pricing, guaranteed timelines, and data in days, not months. If you're tired of pricing that feels like a negotiation every single time, run your bioanalysis with Dash. Visit -.bio/pricing and see exactly how much your next bioanalysis study will cost. Now please enjoy this conversation with Jason Coloma on Long Run. Jason Coloma, welcome to the Long Run. Yeah. Thanks for …
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Books, tools, and gear mentioned in this episode
SignalCast may earn commission on purchases via these links.
Tools
“SPONSORS: AlphaSense”
“built on human genetics datasets including UK Biobank and FinnGen to identify novel small molecule drug targets”
“SPONSORS: Dashbio”
“built on human genetics datasets including UK Biobank and FinnGen to identify novel small molecule drug targets”
company
- Maze TherapeuticsBy guest
“Jason Coloma, CEO of Maze Therapeutics, traces the company's path from a $190M Third Rock-backed startup to a newly public biotech with two phase two kidney disease programs”
“Maze Therapeutics...a $190M Third Rock-backed startup”
“Coloma recruited board members — including the CEO of Incyte and BridgeBio's Neil Kumar”
“board members — including the CEO of Incyte and BridgeBio's Neil Kumar”
“When the FTC blocked Maze's Sanofi partnership for the Pompe disease program on antitrust grounds”
“the business development team had already been cultivating a backup relationship with Shionogi. The replacement deal closed within roughly six months”
“the field has since attracted Vertex, AstraZeneca, and multiple academic consortia validating the approach”
“the field has since attracted Vertex, AstraZeneca, and multiple academic consortia validating the approach”
other
“working with academic consortia like the PARASOL group at Michigan, has opened biomarker-based endpoints”
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