2612-P: AI/ML-Driven Genetic Discovery through In Vivo Validation of Obesity Targets



Introduction and Objective: Brown adipose tissue (BAT) plays a key role in non-shivering thermogenesis and is strongly implicated in obesity and metabolic disease, and may offer an alternative therapeutic strategy for treating obesity and its related comorbidities.Methods: Starting from a BAT-ML (an in-house machine learning (ML)-derived BAT phenotype) GWAS, we investigated the relevance of these genetic signals in vitro using human adipocyte cell models and in vivo in HFD obese mice.Results: At least 1 target identified through BAT-ML was found to reduce body weight and fat mass AND increased BAT/beige-like character in vivo.Conclusion: Here, we present the first BAT-ML GWAS and prosecution of the genetic insights in adipocyte cell models through in vivo validation in support of targeting BAT for potentially treating obesity and its related comorbidities.

Disclosure

J. Choy: Employee; Current; insitro. Employee; Ended; Maze Therapeutics. Stock/Shareholder; Current; Maze Therapeutics, Merck & Co., Inc. D. Lloyd: None.



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