Evidence map›Paper›PMID 42006907›Full record

ReviewJournal of orthopaedic translation2026

Mechanisms and precision interventions in sarcopenia and osteoarthritis comorbidity: A narrative review.

Jun Ma, Chen Chen, Hao Jiang, Mengran Xi, Wei Luo, Renwen Wan, Mi Zou, Tianqi Wang, Xinyi Zhang, Shiyi Chen and 4 more

Abstract readReview
In one paragraph

Review in Journal of orthopaedic translation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jun MaDepartment of Orthopaedics, Jiaxing Key Laboratory of Basic Research and Clinical Translation on Orthopedic Biomaterials, The Second Affiliated Hospital of Jiaxing University (Sports Hospital of Jiaxing), 1518 North Huancheng Road, Jiaxing, 314000, China.
Chen ChenDepartment of Arthroscopic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Hao JiangDepartment of Orthopedics, Jinling Clinical Medical College, Nanjing Medical University, Nanjing, 210002, China.
Mengran XiFudan University - Dr. Kong Joint Research Center for Sports Medicine and Health Footwear, Fudan University Institute of Sports Medicine (Jinqiao Laboratory), Shanghai, China.
Wei LuoFudan University - Dr. Kong Joint Research Center for Sports Medicine and Health Footwear, Fudan University Institute of Sports Medicine (Jinqiao Laboratory), Shanghai, China.
Renwen WanFudan University - Dr. Kong Joint Research Center for Sports Medicine and Health Footwear, Fudan University Institute of Sports Medicine (Jinqiao Laboratory), Shanghai, China.
Mi ZouDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Tianqi WangDepartment of Orthopaedic Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Xinyi ZhangDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Shiyi ChenFudan University - Dr. Kong Joint Research Center for Sports Medicine and Health Footwear, Fudan University Institute of Sports Medicine (Jinqiao Laboratory), Shanghai, China.
Gang ChenDepartment of Orthopaedics, Jiaxing Key Laboratory of Basic Research and Clinical Translation on Orthopedic Biomaterials, The Second Affiliated Hospital of Jiaxing University (Sports Hospital of Jiaxing), 1518 North Huancheng Road, Jiaxing, 314000, China.
Zhiwen LuoDepartment of Orthopaedics, Jiaxing Key Laboratory of Basic Research and Clinical Translation on Orthopedic Biomaterials, The Second Affiliated Hospital of Jiaxing University (Sports Hospital of Jiaxing), 1518 North Huancheng Road, Jiaxing, 314000, China.
Nirong BaoDepartment of Orthopedics, Jinling Clinical Medical College, Nanjing Medical University, Nanjing, 210002, China.
Patrick Shu-Hang YungDepartment of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia and osteoarthritis are two common musculoskeletal disorders that often coexist, posing significant challenges in clinical management. These conditions share underlying mechanisms such as chronic inflammation, metabolic dysfunction, and biomechanical stress, which accelerate musculoskeletal degeneration. Sarcopenia, characterized by muscle loss and weakness, and osteoarthritis, marked by cartilage degradation and joint dysfunction, frequently overlap, leading to increased disability and reduced quality of life. The presence of both conditions creates a detrimental cycle where muscle weakness exacerbates joint pain, and joint dysfunction further weakens muscles. This comorbidity complicates treatment, requiring integrated strategies that address both muscle and joint pathology. Advances in personalized therapies, driven by multi-omics technologies, are crucial in targeting these interconnected conditions more effectively. Precision medicine, using genetic, metabolic, and physiological data, can help tailor treatments and improve patient outcomes. Furthermore, the integration of adaptive interventions, digital twin models, and real-time feedback systems will play key roles in refining individualized treatment plans. Multi-omics integration and real-world evidence are also transforming how clinical trials are designed and how we assess disease progression, moving away from structural markers to functional and patient-centered outcomes. Effective interventions must involve early detection, personalized approaches, and interdisciplinary care, aiming to break the cycle of degeneration and improve patients' functional independence and quality of life. The translational potential of this article: This review identifies the biomechanical, metabolic, and epigenetic "vicious cycles" that drive the comorbidity of sarcopenia and osteoarthritis. By integrating multi-omics data, digital twin modeling, and real-time biomechanical feedback, this work provides a framework for clinical precision medicine. The clinical significance lies in identifying a "mechanical window of opportunity" for early intervention-using personalized exercise and nutritional strategies to restore joint homeostasis and prevent irreversible functional decline.

Indexed as

InflammationMetabolic dysfunctionOsteoarthritisPersonalized therapyPrecision medicineSarcopenia

Identifiers

PMID42006907
PMCPMC13085027

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.