Yu Wang, Shanshan Jin, Dan Luo, Danqing He, Min Yu, Lisha Zhu, Zixin Li, Liyuan Chen, Chengye Ding, Xiaolan Wu, Tianhao Wu, Weiran Huang, Xuelin Zhao, Meng Xu, Zhengwei Xie, Yan Liu
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引用次数: 0
Abstract
Adult tendon stem/progenitor cells (TSPCs) are essential for tendon maintenance, regeneration, and repair, yet they become susceptible to senescence with age, impairing the self-healing capacity of tendons. In this study, we employ a recently developed deep-learning-based efficacy prediction system to screen potential stemness-promoting and senescence-inhibiting drugs from natural products using the transcriptional signatures of stemness. The top-ranked candidate, prim-O-glucosylcimifugin (POG), a saposhnikovia root extract, could ameliorate TPSC senescent phenotypes caused by long-term passage and natural aging in rats and humans, as well as restore the self-renewal and proliferative capacities and tenogenic potential of aged TSPCs. In vivo, the systematic administration of POG or the local delivery of POG nanoparticles functionally rescued endogenous tendon regeneration and repair in aged rats to levels similar to those of normal animals. Mechanistically, POG protects TSPCs against functional impairment during both passage-induced and natural aging by simultaneously suppressing nuclear factor-κB and decreasing mTOR signaling with the induction of autophagy. Thus, the strategy of pharmacological intervention with the deep learning-predicted compound POG could rejuvenate aged TSPCs and improve the regenerative capacity of aged tendons.
期刊介绍:
Established in 2013, Bone Research is a newly-founded English-language periodical that centers on the basic and clinical facets of bone biology, pathophysiology, and regeneration. It is dedicated to championing key findings emerging from both basic investigations and clinical research concerning bone-related topics. The journal's objective is to globally disseminate research in bone-related physiology, pathology, diseases, and treatment, contributing to the advancement of knowledge in this field.