Senolytic treatment reduces oxidative protein stress in an aging male murine model of post-traumatic osteoarthritis

Alexander F. Chin, Jin Han, Cristina C. Clement, Younghwan Choi, Hong Zhang, Maria Browne, Ok Hee Jeon, Jennifer H. Elisseeff

Research output: Contribution to journalArticlepeer-review

Abstract

Senolytic drugs are designed to selectively clear senescent cells (SnCs) that accumulate with injury or aging. In a mouse model of osteoarthritis (OA), senolysis yields a pro-regenerative response, but the therapeutic benefit is reduced in aged mice. Increased oxidative stress is a hallmark of advanced age. Therefore, here we investigate whether senolytic treatment differentially affects joint oxidative load in young and aged animals. We find that senolysis by a p53/MDM2 interaction inhibitor, UBX0101, reduces protein oxidative modification in the aged arthritic knee joint. Mass spectrometry coupled with protein interaction network analysis and biophysical stability prediction of extracted joint proteins revealed divergent responses to senolysis between young and aged animals, broadly suggesting that knee regeneration and cellular stress programs are contrarily poised to respond as a function of age. These opposing responses include differing signatures of protein-by-protein oxidative modification and abundance change, disparate quantitative trends in modified protein network centrality, and contrasting patterns of oxidation-induced folding free energy perturbation between young and old. We develop a composite sensitivity score to identify specific key proteins in the proteomes of aged osteoarthritic joints, thereby nominating prospective therapeutic targets to complement senolytics.

Original languageEnglish (US)
Article numbere13979
JournalAging Cell
Volume22
Issue number11
DOIs
StatePublished - Nov 2023

Keywords

  • aging
  • cellular senescence
  • mouse
  • osteoarthritis
  • oxidative stress
  • protein chemistry
  • proteomics
  • reactive oxygen

ASJC Scopus subject areas

  • Aging
  • Cell Biology

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