Cargando…
APOC1 as a novel diagnostic biomarker for DN based on machine learning algorithms and experiment
INTRODUCTION: Diabetic nephropathy is the leading cause of end-stage renal disease, which imposes a huge economic burden on individuals and society, but effective and reliable diagnostic markers are still not available. METHODS: Differentially expressed genes (DEGs) were characterized and functional...
Autores principales: | Yu, Kuipeng, Li, Shan, Wang, Chunjie, Zhang, Yimeng, Li, Luyao, Fan, Xin, Fang, Lin, Li, Haiyun, Yang, Huimin, Sun, Jintang, Yang, Xiangdong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987333/ https://www.ncbi.nlm.nih.gov/pubmed/36891052 http://dx.doi.org/10.3389/fendo.2023.1102634 |
Ejemplares similares
-
APOC1 exacerbates renal fibrosis through the activation of the NF-κB signaling pathway in IgAN
por: Yu, Kuipeng, et al.
Publicado: (2023) -
Identification and Verification of Diagnostic Biomarkers for Glomerular Injury in Diabetic Nephropathy Based on Machine Learning Algorithms
por: Han, Hongdong, et al.
Publicado: (2022) -
The Roles of ApoC-III on the Metabolism of Triglyceride-Rich Lipoproteins in Humans
por: Borén, Jan, et al.
Publicado: (2020) -
MAMs Protect Against Ectopic Fat Deposition and Lipid-Related Kidney Damage in DN Patients
por: Yang, Ming, et al.
Publicado: (2021) -
Identification and validation of P4HB as a novel autophagy-related biomarker in diabetic nephropathy
por: Bai, Fang, et al.
Publicado: (2022)