Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning

Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning

BackgroundsDiabetes nephropathy (DN) is a growing public health concern worldwide. Renal dysfunction impairment in DN is intimately linked to ER stress and its related signaling pathways. Nonetheless, the underlying mechanism and biomarkers for this function of ER stress in the DN remain unknown.Met...

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Bibliographic Details
Main Authors: Jiaming Su, Jing Peng, Lin Wang, Huidi Xie, Ying Zhou, Haimin Chen, Yang Shi, Yan Guo, Yicheng Zheng, Yuxin Guo, Zhaoxi Dong, Xianhui Zhang, Hongfang Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Endocrinology
Subjects:
diabetic nephropathy
endoplasmic reticulum stress
WGCNA (weighted gene co-expression network analysis)
machine learning
immune cell infiltration
molecular subtypes
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1206154/full

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https://www.frontiersin.org/articles/10.3389/fendo.2023.1206154/full

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