Senescent preosteoclast secretome promotes metabolic syndrome associated osteoarthritis through Cyclooxygenase 2
Abstract
Background: Metabolic syndrome–associated osteoarthritis (MetS-OA) is a distinct osteoarthritis phenotype defined by the coexistence of MetS or its individual components. Despite the high prevalence of MetS-OA, its pathogenic mechanisms are unclear. The aim of this study was to determine the role of cellular senescence in the development of MetS-OA.
Methods: Analysis of the human osteoarthritis initiative (OAI) dataset was conducted to investigate the MRI subchondral bone features of MetS-human OA participants. Joint phenotype and senescent cells were evaluated in two MetS-OA mouse models: high-fat diet (HFD)-challenged mice and STR/Ort mice. In addition, the molecular mechanisms by which preosteoclasts become senescent as well as how the senescent preosteoclasts impair subchondral bone microenvironment were characterized using in vitro preosteoclast culture system.
Results: Humans and mice with MetS are more likely to develop osteoarthritis-related subchondral bone alterations than those without MetS. MetS-OA mice exhibited a rapid increase in joint subchondral bone plate and trabecular thickness before articular cartilage degeneration. Subchondral preosteoclasts undergo senescence at the pre- or early-osteoarthritis stage and acquire a unique secretome to stimulate osteoblast differentiation and inhibit osteoclast differentiation. Antagonizing preosteoclast senescence markedly mitigates pathological subchondral alterations and osteoarthritis progression in MetS-OA mice. At the molecular level, preosteoclast secretome activates COX2-PGE2, resulting in stimulated differentiation of osteoblast progenitors for subchondral bone formation. Administration of a selective COX2 inhibitor attenuated subchondral bone alteration and osteoarthritis progression in MetS-OA mice. Longitudinal analyses of the human Osteoarthritis Initiative (OAI) cohort dataset also revealed that COX2 inhibitor use, relative to non-selective nonsteroidal anti-inflammatory drug use, is associated with less progression of osteoarthritis and subchondral bone marrow lesion worsening in participants with MetS-OA.
Conclusions: Our findings suggest a central role of a senescent preosteoclast secretome-COX2/PGE2 axis in the pathogenesis of MetS-OA, in which selective COX2 inhibitors may have disease-modifying potential.
Funding: This work was supported by the National Institutes of Health grant R01AG068226 and R01AG072090 to M.W., R01AR079620 to S.D., and P01AG066603 to X.C.
Data availability
The data that support the findings of this study are available within the article and Supplementary file. Sequencing data have been deposited in Dryad and can be acquired through online portal at https://doi.org/10.5061/dryad.q2bvq83n6. The naming and version of OAI dataset files used in our study are listed in Supplementary file 1C and can be acquired through OAI online portal at https://nda.nih.gov/oai.
-
Senescent preosteoclast secretome promotes metabolic syndrome-associated osteoarthritis through COX2-PGE2Dryad Digital Repository, doi:10.5061/dryad.q2bvq83n6.
Article and author information
Author details
Funding
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: We used data from the longitudinal multi-center OAI study (2004-2015 clinicaltrials.gov identifier: NCT00080171). All 4,796 enrolled patients gave written informed consent. Institutional review boards of four OAI collaborating centers have approved the OAI study's Health Insurance Portability and Accountability Act-compliant protocol (approval number: FWA00000068).
Copyright
© 2022, Su et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 1,325
- views
-
- 415
- downloads
-
- 28
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Citations by DOI
-
- 28
- citations for umbrella DOI https://doi.org/10.7554/eLife.79773