PFOA-Induced Osteoarthritis: IGFBP1, MKI67, and C9 Gene Expression and Diagnostic Model

15 PFOA-related osteoarthritis differentially expressed genes were identified from integrated public gene expression databases GSE114007 and GSE89408. Machine learning algorithms and WGCNA determined IGFBP1, MKI67, and C9 as core genes, verified by qRT-PCR in OA patient synovial tissue. A diagnostic nomogram constructed from these genes achieved an AUC of 0.903 in training and 0.939 in external validation (GSE51588).

Use Cases

• Training diagnostic models for osteoarthritis based on the identified core genes IGFBP1, MKI67, and C9.
• Analyzing immune cell infiltration in osteoarthritis samples based on ssGSEA results mentioned in the description.
• Studying molecular docking interactions between PFOA and target proteins based on reported binding energies.
• Validating gene expression biomarkers for environmental pollutant-induced disease using qRT-PCR verification data.

Strengths

• Includes validation results from an external dataset (GSE51588) where the diagnostic model achieved an AUC of 0.939.
• Core gene findings are supported by multiple machine learning algorithms (Lasso, SVM, Boruta, XGBoost, LightGBM, AdaBoost) and WGCNA.
• Molecular docking provides specific binding energy values (-6.0, -8.5, -7.5 kcal/mol) for PFOA interaction with target proteins.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific public gene expression databases used as sources.

Provenance

Source

Integrated public gene expression databases GSE114007 and GSE89408, with external validation from GSE51588.

Collection Method

Gene expression data analysis, differential expression identification, machine learning screening, and experimental validation via qRT-PCR.

Freshness

Last updated 2026-05-28 05:30:32; freshness should be verified.