Bioinformatics analysis combined with experimental validation reveals the novel mechanisms of multi-targets of dapagliflozin attenuating diabetic liver injury

Bioinformatics analysis combined with experimental validation reveals the novel mechanisms of multi-targets of dapagliflozin attenuating diabetic liver injury

ObjectiveDiabetic liver injury, a chronic complication of diabetes mellitus (DM), has been extensively documented. Dapagliflozin, a sodium-glucose co-transporter 2 (SGLT2) inhibitor, has shown significant therapeutic benefits in clinical trials for the management of diabetes However, the specific me...

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Bibliographic Details
Main Authors: Pengyu Wang, Zhen Sun, Qing Lan, Shuo Zhang, Yan Song, Leiming Yang, Mi Chen, Jianfen Shen, Qi Huang, Youzhi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Endocrinology
Subjects:
dapagliflozin
diabetic liver injury
ERK/IKKβ/NF-κB pathways
bioinformatics
data mining
metabolic disease
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1519153/full
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https://www.frontiersin.org/articles/10.3389/fendo.2025.1519153/full

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