Identification of blood-based key biomarker and immune infiltration in Immunoglobulin A nephropathy by comprehensive bioinformatics analysis and a cohort validation

2Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: To identify the critical genes in the onset and progression of Immunoglobulin A nephropathy (IgAN) and to explore its immune cell infiltration feature. Methods: Differentially expressed genes (DEGs) were firstly screened from 1 blood-derived dataset GSE73953 and a glomerulus derived dataset GSE93798 through limma analysis, overlap genes omitting and weighted gene correlation network analysis (WGCNA) and further reduced according to expression pattern and correlation with the clinical features: eGFR and proteinuria, followed by external validation using the GSE37460 dataset and an IgAN cohort. In addition, the CIBERSORT tool for immune cell infiltration analysis, ceRNA network construction and Connectivity Map (CMAP) were also performed. Results: A total of 195 DEGs were found, and among them, 3 upregulated (ORMDL2, NRP1, and COL4A1) and 3 downregulated genes (ST13, HSPA8 and PKP4) are verified to correlate clinically, and finally ORMDL2, NRP1 and COL4A1 were validated in patient cohort and with the ability of IgAN discrimination (highest AUC was COL4A1: 97.14%). The immune cell infiltration results revealed that significant differences could be found on resting memory CD4 T cells, activated NK cells, and M2 macrophages between control and IgAN. Conclusions: Our results demonstrated here that significantly upregulated DEGs: ORMDL2, NRP1 and COL4A1, could be served as the diagnostic marker for IgAN, and dysregulated immune cell infiltration hinted possible the immune system intervention point in the setting of IgAN.

Cite

CITATION STYLE

APA

Xu, J., Shen, X., Wei, X., Ding, J., Yuan, J., Weng, Z., & He, Y. (2022). Identification of blood-based key biomarker and immune infiltration in Immunoglobulin A nephropathy by comprehensive bioinformatics analysis and a cohort validation. Journal of Translational Medicine, 20(1). https://doi.org/10.1186/s12967-022-03330-w

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free