Identification of differentially expressed genes in diabetic kidney disease by RNA‐Seq analysis of venous blood platelets

Autor: Hui Min Jin, Xiao Li Zhan, Xiu Hong Yang, Bao Long Zhang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: FEBS Open Bio, Vol 11, Iss 8, Pp 2095-2109 (2021)
FEBS Open Bio
ISSN: 2211-5463
Popis: Diabetic kidney disease (DKD) is the leading cause of end‐stage renal disease. However, because of shared complications between DKD and chronic kidney disease (CKD), the description and characterization of DKD remain ambiguous in the clinic, hindering the diagnosis and treatment of early‐stage DKD patients. Although estimated glomerular filtration rate and albuminuria are well‐established biomarkers of DKD, early‐stage DKD is rarely accompanied by a high estimated glomerular filtration rate, and thus there is a need for new sensitive biomarkers. Transcriptome profiling of kidney tissue has been reported previously, although RNA sequencing (RNA‐Seq) analysis of the venous blood platelets in DKD patients has not yet been described. In the present study, we performed RNA‐Seq analysis of venous blood platelets from three patients with CKD, five patients with DKD and 10 healthy controls, and compared the results with a CKD‐related microarray dataset. In total, 2097 genes with differential transcript levels were identified in platelets of DKD patients and healthy controls, and 462 genes with differential transcript levels were identified in platelets of DKD patients and CKD patients. Through Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, we selected 11 pathways, from which nine potential biomarkers (IL‐1B, CD‐38, CSF1R, PPARG, NR1H3, DDO, HDC, DPYS and CAD) were identified. Furthermore, by comparing the RNA‐Seq results with the GSE30566 dataset, we found that the biomarker KCND3 was the only up‐regulated gene in DKD patients. These biomarkers may have potential application for the therapy and diagnosis of DKD, as well aid in determining the mechanisms underlying DKD.
Based on platelet RNA sequencing of venous blood platelets, we identified 2097 genes with differential transcript levels in platelets of patients with diabetic kidney disease compared to patients with chronic kidney disease and 462 genes with differential transcript levels compared to healthy controls, and found nine potential biomarkers, with KCND3 identified as the most promising biomarker for clinical diagnosis of diabetic kidney disease.
Databáze: OpenAIRE
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