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February 21, 2026npj Systems Biology and Applications0 citationsOpen Access

In silico exploration of osteoclast precursor inhibition for preventing rapid bone loss after denosumab discontinuation

YKYoung Kwan KimYKYoshitaka KAMEOSTSakae Tanaka

Key Points

  • This research aims to evaluate an osteoclast precursor inhibitor's efficacy in preventing bone loss following denosumab discontinuation.
  • Conducted in silico experiments with denosumab and either osteoclast precursor inhibitor (OCPI) or alendronate.
  • Induced apoptosis in osteoclast precursors to assess effects on bone resorption.
  • Compared effects of OCPI and alendronate on osteoclast and osteoblast activity.
  • OCPI significantly inhibited osteoclast activity compared to alendronate.
  • The combination of OCPI and denosumab effectively prevented bone loss rebound after stopping denosumab.
  • OCPI showed targeted inhibition of osteoclasts without affecting osteoblasts.

Abstract

Denosumab is a potent anti-resorptive drug for osteoporosis treatment that increases bone mass and reduces fracture risk. However, its discontinuation causes a rebound phenomenon where bone is rapidly lost by activated resorption, possibly because of the accumulation of osteoclast precursors. Here, we propose a therapeutic strategy wherein osteoclast precursor apoptosis is induced to prevent the rebound. To investigate the efficacy of this undeveloped osteoclast precursor inhibitor (OCPI), we performed in silico experiments with denosumab treatment followed by OCPI or alendronate. The accumulated osteoclast precursors caused excessive osteoclast activity after denosumab discontinuation. Switching to OCPI inhibited bone cell activity in an osteoclast-dominant manner without direct effects on osteoblasts, as opposed to alendronate. The combination of OCPI and denosumab prevented the rebound and preserved modelling-based formation induced by denosumab. Our in silico approach provides proof of a proposed drug concept before development, thereby accelerating the development of new treatment for human diseases.

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Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/69994ba9873532290d01fc01https://doi.org/10.1038/s41540-026-00668-5
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