1. Academic Validation
  2. Title: Bioinformatic Identification of Genes Involved in Diabetic Nephropathy Fibrosis and their Clinical Relevance

Title: Bioinformatic Identification of Genes Involved in Diabetic Nephropathy Fibrosis and their Clinical Relevance

  • Biochem Genet. 2023 Jan 30. doi: 10.1007/s10528-023-10336-6.
Yu Bai 1 Lili Ma 1 Dai Deng 1 Dongli Tian 1 Wenhu Liu 2 3 Zongli Diao 4 5
Affiliations

Affiliations

  • 1 Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, Beijing, 10050, China.
  • 2 Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, Beijing, 10050, China. wenhuliu@mail.ccmu.edu.cn.
  • 3 Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, Xicheng District, Beijing, 100050, China. wenhuliu@mail.ccmu.edu.cn.
  • 4 Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, Beijing, 10050, China. diaozl@ccmu.edu.cn.
  • 5 Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, Xicheng District, Beijing, 100050, China. diaozl@ccmu.edu.cn.
Abstract

Tubulointerstitial fibrosis is an important pathological feature of diabetic nephropathy that is associated with impaired renal function. However, the mechanism by which fibrosis occurs in diabetic nephropathy is unclear. Differentially expressed genes were identified from transcriptome profiles of renal tissue from diabetic patients and unilateral ureteral obstruction mice and intersected to obtain genes that may be involved in diabetic fibrosis. Biological function analysis and protein-protein interaction network analysis were performed. ROC curve and Pearson correlation analysis between hub genes were performed and glomerular filtration rate estimated. Finally, the RNA levels of hub genes were measured using Real-Time PCR. A total of 283 genes were identified as potentially involved in diabetic nephropathy fibrosis. TYROBP, CTSS, LCP2, LUM and TLR7 were identified as aberrantly expressed hub genes. Immune cell infiltration analysis demonstrated higher numbers of cytotoxic lymphocytes, B lineage cells, monocyte lineage cells, myeloid dendritic cells, neutrophils, and fibroblasts in the diabetic nephropathy group. The areas under ROC curves for TYROBP, CTSS, LCP2, LUM and TLR7 were 0.9167, 0.9583, 0.9917, 0.93333, and 0.9583, respectively (P < 0.001), and their correlation coefficients with estimated glomerular filtration rate were - 0.8332, - 0.752, - 0.7875, - 0.7567, and - 0.7136, respectively (P < 0.001). The RNA levels of TYROBP, CTSS, LUM and TLR7 were upregulated in high-glucose-treated human renal tubular epithelial cells (P < 0.005). Our study identified TYROBP, CTSS, LCP2, LUM and TLR7 as potentially involved in diabetic nephropathy fibrosis. Furthermore, TYROBP, CTSS, LUM and TLR7 may be associated with epithelial-mesenchymal transition of tubular epithelial cells.

Keywords

Bioinformatic analysis; Diabetic nephropathies; Immune cell infiltration; Tubulointerstitial fibrosis.

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