Unlike GLP-1s, PCSK9 inhibitors are a near "free lunch." Discovered from a genetic mutation in a population with virtually no heart disease, these drugs dramatically lower bad cholesterol with minimal trade-offs, making them an ideal preventative tool.

An analysis of 300+ abstracts from a major obesity conference found 88% focused on incretin-based therapies like GLP-1. This highlights a significant lack of target diversity and innovation in the pipeline, as the industry crowds around commercially successful but known mechanisms.

A critical disconnect exists in drug development: the decision to start a trial is most influenced by the number of academic publications on a target. However, this metric has no bearing on the trial's likelihood of success. The best predictor of success is actually strong human genetic evidence linking the target to the disease.

While Ventix's NLRP3 inhibitor failed its Phase 2 trial for weight loss, the data revealed an 80-90% reduction in inflammatory markers for cardiovascular risk. This pivots the drug's strategy from a weight loss agent to a potential combination therapy with GLP-1s, specifically to address the high cardiovascular risk in the obese patient population.

Novartis's cardio drug failure in a secondary prevention trial highlights a critical development challenge: even for genetically-validated targets, intervening late in a chronic disease's progression may be ineffective. The damage may already be too extensive, suggesting earlier treatment is needed to show a benefit.

Novartis's Lp(a) drug may have failed not because the target is wrong, but because patients were already so well-treated with existing drugs like statins. This highlights a growing challenge: new therapies must demonstrate significant added value over an increasingly effective standard of care.

The surprising failures of Novartis's and Novo Nordisk's heart drugs, both targeting 'genetically validated' pathways, have debunked the widely held belief that genetic data guarantees clinical success. This forces a fundamental rethink of using genetics to de-risk massive drug development investments.

Drugs like PCSK9 inhibitors struggle with adoption because they treat asymptomatic conditions like high cholesterol. Without the immediate, tangible feedback seen with GLP-1s, it's harder for patients to stay compliant with treatment for a silent, long-term risk.

Following the costly trial failures of Novartis and Novo Nordisk, investors are expected to become highly risk-averse toward cardiovascular drug development. This will create a challenging funding environment for startups in the space as capital shifts to less risky therapeutic areas.