Unveiling the efficacy predictors and potential mechanisms of Semen Cuscutae against osteoporosis via machine learning and meta-analysis: a preclinical study - Takeaways - 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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  • 1

    The study systematically evaluates the anti-osteoporotic efficacy of Semen Cuscutae using meta-analysis and machine learning.

  • 2

    Meta-analysis of 15 studies showed that Semen Cuscutae significantly increased bone mineral density and improved trabecular micro-architecture.

  • 3

    Semen Cuscutae modulates the osteoimmune microenvironment by suppressing pro-inflammatory cytokines and enhancing osteogenic factors.

  • 4

    Machine learning analysis identified 'Species,' 'Dose,' and 'Treatment Duration' as key variables influencing therapeutic efficacy.

  • 5

    Rat models demonstrated superior responsiveness to Semen Cuscutae treatment compared to mice, with gender having minimal predictive weight.

Original Source(s)

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

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