Ying-Ju Lai

Abstract Emerging large language models (LLMs) can infer gene functions directly from gene lists, enabling hypothesis generation without predefined gene sets. However, these LLM-derived predictions are qualitative, and principled statistical validation is lacking.

CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. Supporting Information REFERENCES , , & (2016a). Naringin mitigates cardiac hypertrophy by reducing oxidative stress and inactivating c-jun nuclear kinase-1 protein in type I diabetes. Journal of Cardiovascular Pharmacology, 67(2), 136–144. https://doi.org/10.1097/FJC.0000000000000325 , , & (2016b). Naringin reduces hyperglycemia-induced cardiac fibrosis by relieving oxidative stress. PLoS One, 11(3), e0149890.

In this study, we first demonstrated that CD44 signaling contributes to β-AR-induced activation of RyR2 and PLN through the interaction with Epac1 and activation of CaMKII. Inhibition of CD44 is effective in preventing β-AR-induced Epac1-dependent activation of RyR2 and PLN, which leads to Ca2+ leakage from SR and the subsequent VAs. CD44 is upregulated in HF. Eliminating CD44 is effective in reducing VA inducibility in HF mice.