Yale spin-out Bexorg uses donated, post-mortem human brains kept molecularly active to test CNS drugs. This novel platform's key advantage is its ability to directly measure pharmacokinetics and blood-brain barrier penetration in a complex human organ, addressing a primary reason for clinical trial failure that animal and cell models cannot adequately predict.

To raise capital, biotechs need specific clinical data. Raj Devraj specifies the three essential components investors look for: 1) confirmation of good drug exposure in humans, 2) a favorable early safety profile, and 3) biomarker data that provides proof of the drug's biological mechanism. Lacking any of these makes fundraising significantly harder.

Neurvati's model bypasses early-stage discovery risk by requiring assets to have 'peri-proof-of-concept' data (e.g., Phase 1b/2a) in humans. This focus on clinically de-risked programs with demonstrated biological activity and safety allows them to concentrate on late-stage development and execution.

To build investor confidence in the high-risk neuroscience field, Neurocrine employs a dual strategy. It highlights its own proven track record while simultaneously de-risking its pipeline by targeting biological pathways already validated by competitors, aiming to create superior, best-in-class medicines rather than pursuing unproven science.

Leal's work shows the link between the brain and metabolism is bidirectional. While developing drugs for CNS disorders, they discovered that engaging metabolic targets within the CNS can produce powerful peripheral effects, like selective fat loss, creating unexpected therapeutic opportunities in massive markets like obesity.

By focusing on metabolic pathways implicated in CNS disorders by human genetics, Leal can work with well-understood enzymes and targets. This simplifies the development process compared to pursuing novel, poorly understood CNS-specific pathways, providing a clearer path to drug development.

Neurocrine mitigates the high risk of its late-stage psychiatry programs, which have uncertain outcomes until Phase 3, by investing in an obesity asset. This program offers the ability to see clear efficacy signals in early Phase 1B trials, providing faster data for decision-making and balancing portfolio risk and cost.

The next era of CNS drug development will shift from single-target therapies for late-stage disease to early intervention. This involves using biomarkers to detect disease before symptoms appear and intervening with multimodal approaches that address multiple biological pathways simultaneously, such as amyloid, tau, and metabolic deficits in Alzheimer's.

Unusually for a Phase 1 safety trial, Gain Therapeutics measured lipid levels in patients' cerebrospinal fluid. They observed a decrease in the target toxic lipids, providing strong, early biological evidence that the drug reaches the brain and works as intended. This de-risks future development by establishing a clear biomarker of effect.