Risk of metabolic abnormalities in osteoarthritis: a new perspective to understand its pathological mechanisms
Guangxi Medical University · Chinese Academy of Sciences · +4 more institutions
Abstract
Although aging has traditionally been viewed as the most important risk factor for osteoarthritis (OA), an increasing amount of epidemiological evidence has highlighted the association between metabolic abnormalities and OA, particularly in younger individuals. Metabolic abnormalities, such as obesity and type II diabetes, are strongly linked to OA, and they affect both weight-bearing and non-weight-bearing joints, thus suggesting that the pathogenesis of OA is more complicated than the mechanical stress induced by overweight. This review aims to explore the recent advances in research on the relationship between metabolic abnormalities and OA risk, including the impact of abnormal glucose and lipid…
Citation impact
- FWCI
- 39.55
- Percentile
- 100%
- References
- 231
Authors
9- GWGuizheng WeiCorresponding
Guangxi Medical University, Chinese Academy of Sciences, First Affiliated Hospital of GuangXi Medical University, Shenzhen Institutes of Advanced Technology
- KLKe Lu
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- MIMuhammad Ihtisham Umar
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- ZZZhenglin Zhu
The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing Medical University
- WWWilliam W. Lu
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
Topics & keywords
- Pathological
- Pathogenesis
- Osteoarthritis
- Medicine
- Obesity
- Overweight
- Bioinformatics
- Risk factor
- Good health and well-being
Funding
- NSNational Science Foundation
- NNNational Natural Science Foundation of ChinaAwards: 82360429, 82161160342, 82250710174, 82030067, 82172397
- CPChina Postdoctoral Science Foundation
- GMGuangxi Medical University
- NKNational Key Research and Development Program of ChinaAward: 2021YFB3800800
- SIShenzhen Institutes of Advanced Technology Innovation Program for Excellent Young Researchers