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 and type 2 diabetes mellitus. The dataset, shared by Xuemeng Liu on figshare, includes nine hub genes and predictions for 40 potential therapeutic drugs. The work was last updated in April 2026.

Use Cases

• Analyzing shared immune-inflammatory pathways between PCOS and T2DM based on the 239 common differentially expressed genes.
• Validating hub gene targets like ITGAM and ITGB2 for drug discovery based on the predicted 40 potential therapeutic drugs.
• Building gene regulatory network models based on the identified transcription factor and miRNA interactions.
• Investigating specific biological processes such as neutrophil degranulation or dendritic cell chemotaxis based on the hub gene associations.

Strengths

• Identifies 239 common differentially expressed genes, including 140 upregulated and 99 downregulated.
• Validates nine hub genes (e.g., ITGAM, ITGB2, SPI1) with experimental RT-qPCR results.
• Predicts 40 potential therapeutic drugs, 19 transcription factors, and 170 miRNAs interacting with hub genes.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The 12.6 KB file size suggests a limited scope, likely containing summary results rather than raw expression data.
• Findings require validation through further clinical and experimental studies as noted by the authors.

Provenance

Source

Gene Expression Omnibus (GEO) databases GSE34526 and GSE25724.

Collection Method

Microarray expression profiling analyzed with R packages (limma, clusterProfiler) and Cytoscape for network construction.

Time Range

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Freshness

Last updated 2026-04-16 05:25:49.

Geography

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