Cargando…
Gene expression-based analysis identified NTNG1 and HGF as biomarkers for diabetic kidney disease
Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease. Because the molecular mechanisms of DKD are not fully understood, exploration of hub genes and the mechanisms underlying this disease are essential for elucidating the pathogenesis and progression of DKD. Accordingly, in th...
Autores principales: | Tang, Yun-Liang, Dong, Xiao-Yang, Zeng, Zhen-Guo, Feng, Zhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6946191/ https://www.ncbi.nlm.nih.gov/pubmed/31895808 http://dx.doi.org/10.1097/MD.0000000000018596 |
Ejemplares similares
-
Predicting diagnostic gene biomarkers in patients with diabetic kidney disease based on weighted gene co expression network analysis and machine learning algorithms
por: Gao, Qian, et al.
Publicado: (2023) -
Identification of transcriptional regulatory elements for Ntng1 and Ntng2 genes in mice
por: Yaguchi, Kunio, et al.
Publicado: (2014) -
Detection value of FOXO1 gene methylation, blood glucose and lipids in patients with type 2 diabetic kidney disease
por: Li, Xiaofeng, et al.
Publicado: (2022) -
Circulating LECT2 levels in newly diagnosed type 2 diabetes mellitus and their association with metabolic parameters: An observational study
por: Zhang, Zhen, et al.
Publicado: (2018) -
Retrospective analysis of the overt proteinuria diabetic kidney disease in the treatment of modified Shenzhuo formula for 2 years
por: Chen, Hongdong, et al.
Publicado: (2017)