journal article·2026-05Open access

Single‐Cell Atlas of Subchondral Bone Marrow Lesions Reveals Proteostasis Dysfunction as a Druggable Mechanism for Early Osteoarthritis

Hailun Xu, Ting He, Yu Qian, Jia Li, Bowei Ni, Xiaojie Xu, Huanbo Wang, Peng Wang, Guoqing Cao, Siqi Ying, Guangyu Ding, Rong Wang, Zenghui Gu, Wei Li, Zhentao Man, Houfeng Zheng, Zhaohua Zhu, Zhen Li, Qingjun Meng, Chao Zheng, Liu Yang

Advanced Science· Volume 13· Issue 26

Abstract

ABSTRACT Subchondral bone marrow lesions (BMLs) constitute a pathognomonic imaging feature of both incipient and progressive osteoarthritis (OA). However, the pathological features and molecular mechanisms underlying BMLs remain poorly characterized. Here, we innovatively established and dynamically characterized a standardized mouse model, simulating human BMLs on magnetic resonance imaging (MRI) that correlates significantly with cartilage degeneration, while revealing substantial aberrant bone matrix accumulation within BML regions. By establishing an osteochondral single‐cell atlas of mouse knee joints during BML development, we found that proteasome dysfunction and abnormal secretion of misfolded collagen, driven by dysregulated heat shock protein 70 (HSP70) and deubiquitinase 19 (USP19) expression in osteoarthritic subchondral osteoblasts, constitute a key mechanism of BML formation. Furthermore, cell‐cell communication and Col10a1‐Cre; R26 tdt+ fate‐mapping analyses uncovered that osteoblast‐secreted WNT5A mediates crosstalk with hypertrophic chondrocytes (HTCs), accelerating their hypertrophy and cell death. Critically, pharmacological HSP70 targeting by TRC051384 inhibited collagen misfolding/secretion, preventing BML formation. Notably, results of Mendelian randomization demonstrated a significant correlation between proteasome gene expression and OA risk in humans, further supporting a potential role of proteasome dysfunction in BML pathogenesis. Collectively, these data reveal mechanisms underlying BML formation and therapeutic targets for early OA intervention.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Osteoarthritis Treatment and Mechanisms · Rheumatoid Arthritis Research and Therapies · Autoimmune and Inflammatory Disorders Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Orthopedic Surgery Xijing Hospital Fourth Military Medical University Xi'an P. R. China

Shandong Provincial Hospital Affiliated to Shandong First Medical University Jinan P. R. China

Suzhou Laboratory of Precision Health and Data Science the Second Affiliated Hospital of Soochow University Suzhou Jiangsu P. R. China

Institute of Health Data Science Soochow University Suzhou Jiangsu P. R. China

Division of Orthopaedic Surgery Department of Orthopedics Nanfang Hospital Southern Medical University Guangzhou Guangdong P. R. China

Department of Orthopedics Air Force Hospital of Eastern Theater Command Nanjing Jiangsu P. R. China

The 989th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army Luoyang Henan P. R. China

Clinical Research Centre Zhujiang Hospital Southern Medical University Guangzhou Guangdong P. R. China

Department of Rheumatology Royal North Shore Hospital and Sydney Musculoskeletal Health Kolling Institute University of Sydney Sydney Australia

AO Research Institute Davos Davos Platz Switzerland

Faculty of Biology Medicine and Health University of Manchester Manchester UK

Medical Research Institute Northwestern Polytechnical University Xi'an P. R. China

Funding

National Natural Science Foundation of China

References (62)

Show source-provided references
1. 10.1016/s0140‐6736(19)30417‐910.1016/s0140‐6736(19)30417‐9 ↗
2. 10.1001/jama.2020.356510.1001/jama.2020.3565 ↗
3. 10.1038/s41584‐020‐00518‐610.1038/s41584‐020‐00518‐6 ↗
4. 10.1038/s41413‐021‐00147‐z10.1038/s41413‐021‐00147‐z ↗
5. 10.1136/annrheumdis‐2020‐21808910.1136/annrheumdis‐2020‐218089 ↗
6. 10.1016/j.joca.2022.09.00710.1016/j.joca.2022.09.007 ↗
7. 10.1002/acr.2287110.1002/acr.22871 ↗
8. 10.1038/s41584‐023‐00971‐z10.1038/s41584‐023‐00971‐z ↗
9. 10.1016/j.joca.2022.01.00810.1016/j.joca.2022.01.008 ↗
10. 10.1136/annrheumdis‐2017‐21139610.1136/annrheumdis‐2017‐211396 ↗
11. 10.1136/ard.2008.09683410.1136/ard.2008.096834 ↗
12. 10.1016/j.bonr.2023.10166710.1016/j.bonr.2023.101667 ↗
13. 10.1136/rmdopen‐2022‐00231410.1136/rmdopen‐2022‐002314 ↗
14. 10.1136/annrheumdis‐2017‐21286310.1136/annrheumdis‐2017‐212863 ↗
15. 10.3390/cells1006146210.3390/cells10061462 ↗
16. 10.1136/ard‐2023‐22442010.1136/ard‐2023‐224420 ↗
17. Nevitt M. C. · 2006
18. 10.1038/s41556‐023‐01240‐710.1038/s41556‐023‐01240‐7 ↗
19. 10.1038/s41556‐019‐0439‐610.1038/s41556‐019‐0439‐6 ↗
20. 10.1146/annurev‐biochem‐060208‐09244210.1146/annurev‐biochem‐060208‐092442 ↗
21. 10.1038/s41580‐019‐0133‐310.1038/s41580‐019‐0133‐3 ↗
22. 10.1016/j.neuropharm.2010.12.00310.1016/j.neuropharm.2010.12.003 ↗
23. 10.1016/j.joca.2024.12.00810.1016/j.joca.2024.12.008 ↗
24. 10.1136/ard‐2022‐22294410.1136/ard‐2022‐222944 ↗
25. 10.1186/s40779‐023‐00485‐510.1186/s40779‐023‐00485‐5 ↗
26. 10.1021/acsnano.1c0711210.1021/acsnano.1c07112 ↗
27. 10.1038/ncb337210.1038/ncb3372 ↗
28. 10.1038/s41467‐019‐10809‐610.1038/s41467‐019‐10809‐6 ↗
29. 10.1016/j.ijbiomac.2023.12782410.1016/j.ijbiomac.2023.127824 ↗
30. 10.1016/j.joca.2011.12.00310.1016/j.joca.2011.12.003 ↗
31. 10.1038/srep0449310.1038/srep04493 ↗
32. 10.1136/annrheumdis‐2017‐21265810.1136/annrheumdis‐2017‐212658 ↗
33. 10.1073/pnas.090940910610.1073/pnas.0909409106 ↗
34. 10.1038/s41586‐025‐08771‐z10.1038/s41586‐025‐08771‐z ↗
35. 10.1038/s41572‐025‐00594‐610.1038/s41572‐025‐00594‐6 ↗
36. 10.1038/s41413‐020‐0099‐y10.1038/s41413‐020‐0099‐y ↗
37. 10.1146/annurev‐physiol‐021119‐03433210.1146/annurev‐physiol‐021119‐034332 ↗
38. 10.1148/radiol.1110135910.1148/radiol.11101359 ↗
39. 10.1002/jbm4.1060910.1002/jbm4.10609 ↗
40. 10.1136/annrheumdis‐2015‐20792310.1136/annrheumdis‐2015‐207923 ↗
41. 10.1016/j.joca.2019.07.00410.1016/j.joca.2019.07.004 ↗
42. 10.1038/s41580‐019‐0133‐310.1038/s41580‐019‐0133‐3 ↗
43. 10.2174/156652401966619032611472010.2174/1566524019666190326114720 ↗
44. 10.4161/auto.2644810.4161/auto.26448 ↗
45. 10.1161/circulationaha.118.03741710.1161/circulationaha.118.037417 ↗
46. 10.1146/annurev.physchem.48.1.54510.1146/annurev.physchem.48.1.545 ↗
47. 10.1126/science.aac435410.1126/science.aac4354 ↗
48. 10.1038/nature0226310.1038/nature02263 ↗
49. 10.1007/s00702‐022‐02468‐710.1007/s00702‐022‐02468‐7 ↗
50. 10.1038/ncb338110.1038/ncb3381 ↗
51. 10.1038/s41580‐023‐00647‐210.1038/s41580‐023‐00647‐2 ↗
52. 10.3389/fimmu.2025.161270310.3389/fimmu.2025.1612703 ↗
53. 10.1038/nrrheum.2016.14810.1038/nrrheum.2016.148 ↗
54. 10.1016/j.joca.2014.05.02310.1016/j.joca.2014.05.023 ↗
55. 10.1016/j.matbio.2013.02.00510.1016/j.matbio.2013.02.005 ↗
56. 10.1016/j.gene.2014.03.02210.1016/j.gene.2014.03.022 ↗
57. 10.1155/2016/956105810.1155/2016/9561058 ↗
58. 10.1126/scitranslmed.aax306310.1126/scitranslmed.aax3063 ↗
59. 10.1016/j.joca.2017.05.01810.1016/j.joca.2017.05.018 ↗
60. 10.1016/j.joca.2018.04.00210.1016/j.joca.2018.04.002 ↗
61. 10.1038/s41589‐020‐0584‐z10.1038/s41589‐020‐0584‐z ↗
62. 10.64898/2025.12.08.69304810.64898/2025.12.08.693048 ↗