Back

Disease-associated mutations in the STAT5B SH2 domain reprogram hepatic cholesterol and lipid metabolism

Lee, H. K.; Pyatkov, M.; Gavrilova, O.; Liu, N.; Demby, T.; Ye, B.; Furth, P. A.; Hennighausen, L.; Waxman, D. J.

2025-12-01 genomics
10.1101/2025.11.27.691004 bioRxiv
Show abstract

Growth hormone (GH) signaling through STAT5B is a central regulator of hepatic metabolism, yet the functional consequences of disease-associated STAT5B variants remain poorly understood. Here, we analyzed mice carrying STAT5BY665F (gain-of-function) and STAT5BY665H (loss-of-function) variants and dissect their impact on metabolic regulation. STAT5BY665F mice developed hepatic lipid accumulation, hypercholesterolemia, and enhanced insulin sensitivity, whereas STAT5BY665H mice displayed reduced body weight and impaired insulin responsiveness. Transcriptomic analyses revealed that STAT5BY665F activated lipid, cholesterol, and immune transcriptional programs, while STAT5BY665H failed to induce these pathways. Notably, STAT5BY665F substantially feminized male liver gene expression, inducing 77% of female-biased genes while repressing 51% of male-biased genes, thereby mimicking the persistent STAT5B activation characteristic of female livers. ChIP-seq demonstrated extensive STAT5BY665F enhancer occupancy at metabolic and immune loci, contrasting with the minimal chromatin engagement of STAT5BY665H. Beyond the liver, STAT5BY665F broadly reprogrammed adipose tissue gene expression, activating lipid metabolism and immune regulatory networks, whereas STAT5BY665H exerted more restricted effects. Together, these findings illustrate how alterations in STAT5B activity affect enhancer activation and can lead to changes in metabolic function and hepatic sexual dimorphism.

Published in Endocrinology (predicted rank #15) · training set

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.