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. 2023 Mar 7;14:1134325. doi: 10.3389/fendo.2023.1134325

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Copyright © 2023 Zhong, Zhu, Li, Gong, Xu, Zhong, Gong, Jiang, Wang, Fei, Tang, Lei, Wang and Zheng

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Differentially expressed gene (DEG) identification of diabetic kidney disease (DKD) and enrichment analysis. (A, B) Principal component analysis (PCA) showing the expression distribution of seven DKD datasets before (A) and after (B) batch effect removal. (C) PCA analysis revealed significant differences in transcriptome levels between DKD samples and normal samples. (D) Volcano plot of differentially expressed genes (DEGs) between DKD samples and normal samples. The DEGs in the pathways related to the occurrence and development of DKD reported in the literature are displayed in different colors. Hallmark gene sets (E), gene ontology (GO) (F), KEGG (G) enrichment landscape of the reference gene set.