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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Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Endocrinology
Assuntos:	diabetic nephropathy endoplasmic reticulum stress WGCNA (weighted gene co-expression network analysis) machine learning immune cell infiltration molecular subtypes
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fendo.2023.1206154/full
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