From algorithm to verification: based on network toxicology and machine learning, the immunomodulatory role of IGFBP1/MKI67/C9 in perfluorooctanoic acid-induced osteoarthritis was discovered, and a diagnostic model was constructed - Takeaways - MDSpire

From algorithm to verification: based on network toxicology and machine learning, the immunomodulatory role of IGFBP1/MKI67/C9 in perfluorooctanoic acid-induced osteoarthritis was discovered, and a diagnostic model was constructed

  • By

  • Xinzhou Huang

  • Yongkun Wei

  • Yani Rao

  • Yue Wei

  • Hui Chen

  • Yunping Bao

  • May 28, 2026

  • 0 min

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  • 1

    PFOA exposure is linked to osteoarthritis (OA) onset and progression, affecting gene expression and immune responses.

  • 2

    The study identified 15 differentially expressed genes related to PFOA and OA, with IGFBP1, MKI67, and C9 as core genes.

  • 3

    Machine learning algorithms and WGCNA were utilized to screen key genes, which were verified through qRT-PCR in OA patients.

  • 4

    Immune infiltration analysis revealed increased immune cells in OA samples, with core genes modulating Th17 and Treg responses.

  • 5

    A diagnostic nomogram achieved high accuracy, indicating potential for IGFBP1, MKI67, and C9 as biomarkers for OA related to PFOA.

Original Source(s)

From algorithm to verification: based on network toxicology and machine learning, the immunomodulatory role of IGFBP1/MKI67/C9 in perfluorooctanoic acid-induced osteoarthritis was discovered, and a diagnostic model was constructed

  • by Xinzhou Huang, Yongkun Wei, Yani Rao, Yue Wei, Hui Chen, Yunping Bao

  • May 28, 2026

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