Common Genes Associated with Diabetic Nephropathy and Retinopathy

A 2026 study by Juan He identified 206 common genes and diagnostic markers for diabetic nephropathy (DN) and diabetic retinopathy (DR). The dataset, shared on figshare under a CC-BY-4.0 license, contains results from differential expression, enrichment, and regulatory network analyses of transcriptome data GSE185011. It includes 6 diagnostic genes for DN and 4 for DR, along with associated immune cell infiltration and TF-mRNA-miRNA network findings.

Use Cases

• Identifying potential diagnostic biomarkers for diabetic nephropathy based on the 6 identified genes (METTL27, NMNAT2, TTC25, GAS6, ATP4A, ZNF223).
• Investigating shared molecular pathways between diabetic nephropathy and retinopathy based on the 206 common intersecting genes.
• Analyzing immune cell infiltration differences in diabetic complications based on the described changes in central memory CD4 T cells and activated B cells.
• Studying gene regulatory networks for diabetic complications based on the constructed TF-mRNA-miRNA networks (e.g., involving hsa-mir-101-3p and EGR1).

Strengths

• Identifies a specific set of 206 common genes from intersecting 526 DN-related and 1,059 DR-related differentially expressed genes.
• Reports concrete diagnostic gene candidates: 6 for diabetic nephropathy and 4 for diabetic retinopathy.
• Includes results from multiple analytical methods: differential expression, enrichment, LASSO, GSEA, immune infiltration, and regulatory network construction.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download to understand the data structure.
• The dataset is very small (10.0 KB), suggesting it contains summary results rather than raw transcriptomic data.
• The description does not specify the sample size or demographic details of the underlying transcriptome data GSE185011.

Provenance

Source

figshare, author Juan He.

Collection Method

Analysis of transcriptome dataset GSE185011 using differential expression screening, enrichment analysis, LASSO, and network construction.

Freshness

Last updated 2026-04-28 05:24:45.