Shared Immune-Inflammatory Gene Networks and Drug Predictions for PCOS and T2DM

A bioinformatics study identifies 239 common differentially expressed genes between polycystic ovary syndrome (PCOS) and type 2 diabetes mellitus (T2DM), including 140 upregulated and 99 downregulated genes. The dataset, uploaded by Xuemeng Liu on 2026-04-16, contains nine hub genes and predictions for 19 transcription factors, 170 miRNAs, and 40 potential therapeutic drugs derived from GEO microarray datasets GSE34526 and GSE25724.

Use Cases

• Identify shared immune-inflammatory pathways between PCOS and T2DM based on the 239 common differentially expressed genes.
• Predict potential therapeutic drugs targeting hub genes like CCR5, ITGB2, and ITGAM.
• Construct transcription factor and miRNA regulatory networks for the nine identified hub genes.
• Validate hub gene expression differences using RT-qPCR data referenced in the study.

Strengths

• Identifies 239 common differentially expressed genes with specific counts of 140 upregulated and 99 downregulated.
• Results include nine validated hub genes and predictions for 19 transcription factors, 170 miRNAs, and 40 drugs.
• Data is derived from two specific, publicly available GEO microarray datasets (GSE34526 and GSE25724).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 11.8 KB, indicating limited scope.

Provenance

Source

Gene Expression Omnibus (GEO) database datasets GSE34526 and GSE25724.

Collection Method

Microarray expression profiling analyzed via R packages limma and clusterProfiler, with network analysis in Cytoscape.

Time Range

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Freshness

Last updated 2026-04-16 05:25:50; freshness should be verified.

Geography

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