Unveiling the efficacy predictors and potential mechanisms of Semen Cuscutae against osteoporosis via machine learning and meta-analysis: a preclinical study - Summary - MDSpire

Unveiling the efficacy predictors and potential mechanisms of Semen Cuscutae against osteoporosis via machine learning and meta-analysis: a preclinical study

  • By

  • Bo Dong

  • Rui Tang

  • Dongping Wan

  • Haoxiang Yuan

  • Chuan Leng

  • Rui Wang

  • Feilong Li

  • Junbo He

  • Yong Peng

  • Shihang Cao

  • Baohui Wang

  • June 10, 2026

  • 0 min

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Objective:

To systematically evaluate the anti-osteoporotic efficacy and underlying mechanisms of Semen Cuscutae and explore potential experimental factors associated with treatment efficacy using meta-analysis and machine learning.

Approach:
    Key Findings:
    • Semen Cuscutae significantly increased femoral and lumbar spine BMD.
    • Improved trabecular micro-architecture was observed (increased BV/TV and Tb.Th; decreased Tb.Sp).
    • Enhanced biomechanical strength was noted, though specific metrics should be clarified.
    • Semen Cuscutae remodeled the osteoimmune microenvironment by suppressing pro-inflammatory cytokines and bone resorption markers.
    • Species, Dose, and Treatment Duration were ranked as the most important variables associated with therapeutic efficacy.
    Interpretation:

    Limitations:
    • The study is limited to preclinical animal models, which may not fully translate to human outcomes.
    • Variability in dosing protocols and animal species may affect the generalizability of the findings.
    Conclusion:

    Sources:

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