Cargando…
Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis
BACKGROUND: Diabetic nephropathy (DN), the most intractable complication in diabetes patients, can lead to proteinuria and progressive reduction of glomerular filtration rate (GFR), which seriously affects the quality of life of patients and is associated with high mortality. However, the lack of ac...
Autores principales: | Hu, Yongzheng, Yu, Yani, Dong, Hui, Jiang, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225123/ https://www.ncbi.nlm.nih.gov/pubmed/37250717 http://dx.doi.org/10.7717/peerj.15437 |
Ejemplares similares
-
Single-Exosome Profiling Identifies ITGB3+ and ITGAM+ Exosome Subpopulations as Promising Early Diagnostic Biomarkers and Therapeutic Targets for Colorectal Cancer
por: Guo, Wei, et al.
Publicado: (2023) -
Expression and prognostic analyses of ITGA11, ITGB4 and ITGB8 in human non-small cell lung cancer
por: Wu, Pancheng, et al.
Publicado: (2019) -
Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma
por: Guo, Tingting, et al.
Publicado: (2019) -
Extracellular Vesicle
ITGAM and ITGB2 Mediate Severe
Acute Pancreatitis-Related Acute Lung Injury
por: Hu, Qian, et al.
Publicado: (2023) -
Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus
por: Alur, Varun, et al.
Publicado: (2021)