Association of uric acid, lipid and bone metabolic markers with temporomandibular joint osteoarthritis: a cross-sectional study.
- 1Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, 200011, China.
- 2Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, Shanghai, Shanghai, 200011, China.
- 3Department of Stomatology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
Abstract
Background
Temporomandibular joint osteoarthritis (TMJOA) is a degenerative disease with a complex and multifaceted etiology. Although metabolic disturbances have been linked to osteoarthritis in other joints, their role in TMJOA remains unclear. This study aimed to investigate the association between systemic metabolic indicators and TMJOA.Methods
This cross-sectional study included 273 participants recruited from a tertiary temporomandibular joint (TMJ) clinic. Diagnosis was based on cone beam computed tomography (CBCT) findings and clinical criteria. Blood samples were analyzed for metabolic markers, including serum uric acid, lipid profiles, and bone turnover markers such as procollagen type 1 N-terminal propeptide (P1NP). Multivariable logistic regression analysis was performed to evaluate associations between metabolic indicators and TMJOA. Model selection was conducted using the Akaike information criterion. Restricted cubic spline (RCS) analysis was applied to explore potential nonlinear relationships. Subgroup analyses were performed according to age. Discriminatory ability was assessed using receiver operating characteristic (ROC) curve analysis. Least Absolute Shrinkage and Selection Operator (LASSO) regression was conducted to select indicators as sensitivity analysis.Results
After adjusting for potential confounders, multivariable logistic regression revealed that serum uric acid was positively associated with the presence of TMJOA, whereas high-density lipoprotein cholesterol (HDL-C) and P1NP were identified as inverse associated factors (p < 0.05). LASSO regression also selected these three predictors and confirmed these findings. The combined panel of these systemic markers provided moderate discriminatory ability for TMJOA occurrence (AUC = 0.716), whereas individual markers showed limited predictive discrimination. RCS analysis suggested a possible nonlinear, U-shaped association between uric acid levels and disease risk, with a wider confidence interval and less precise estimates at the upper tail. Exploratory age-stratified analyses indicated that vitamin D and bone turnover markers were associated with disease in adolescents but not in adults, reflecting the possible influence of systemic metabolic shifts over the lifespan.Conclusions
In this single-center cross-sectional sample, elevated serum uric acid and reduced HDL-C and P1NP were associated with TMJOA presence. These exploratory associations require validation in population-based cohorts before clinical application.
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BibTeX
@article{zhang2026association,
title = {{Association of uric acid, lipid and bone metabolic markers with temporomandibular joint osteoarthritis: a cross-sectional study.}},
author = {Chu-Han Zhang and Min-Han Li and Jia-Ying He and Bian Wang and Shan Jin and Miao Chen and Da-Hai Yu and Chi Yang and Zhi-Gui Ma},
journal = {BMC musculoskeletal disorders},
year = {2026},
month = aug,
doi = {10.1186/s12891-026-10300-6},
url = {https://europepmc.org/article/MED/42958497},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Association of uric acid, lipid and bone metabolic markers with temporomandibular joint osteoarthritis: a cross-sectional study.
AU - Chu-Han Zhang
AU - Min-Han Li
AU - Jia-Ying He
AU - Bian Wang
AU - Shan Jin
AU - Miao Chen
AU - Da-Hai Yu
AU - Chi Yang
AU - Zhi-Gui Ma
PY - 2026
DA - 2026/08/04
JO - BMC musculoskeletal disorders
DO - 10.1186/s12891-026-10300-6
UR - https://europepmc.org/article/MED/42958497
AB - Background Temporomandibular joint osteoarthritis (TMJOA) is a degenerative disease with a complex and multifaceted etiology. Although metabolic disturbances have been linked to osteoarthritis in other joints, their role in TMJOA remains unclear. This study aimed to investigate the association between systemic metabolic indicators and TMJOA.Methods This cross-sectional study included 273 participants recruited from a tertiary temporomandibular joint (TMJ) clinic. Diagnosis was based on cone beam computed tomography (CBCT) findings and clinical criteria. Blood samples were analyzed for metabolic markers, including serum uric acid, lipid profiles, and bone turnover markers such as procollagen type 1 N-terminal propeptide (P1NP). Multivariable logistic regression analysis was performed to evaluate associations between metabolic indicators and TMJOA. Model selection was conducted using the Akaike information criterion. Restricted cubic spline (RCS) analysis was applied to explore potential nonlinear relationships. Subgroup analyses were performed according to age. Discriminatory ability was assessed using receiver operating characteristic (ROC) curve analysis. Least Absolute Shrinkage and Selection Operator (LASSO) regression was conducted to select indicators as sensitivity analysis.Results After adjusting for potential confounders, multivariable logistic regression revealed that serum uric acid was positively associated with the presence of TMJOA, whereas high-density lipoprotein cholesterol (HDL-C) and P1NP were identified as inverse associated factors (p < 0.05). LASSO regression also selected these three predictors and confirmed these findings. The combined panel of these systemic markers provided moderate discriminatory ability for TMJOA occurrence (AUC = 0.716), whereas individual markers showed limited predictive discrimination. RCS analysis suggested a possible nonlinear, U-shaped association between uric acid levels and disease risk, with a wider confidence interval and less precise estimates at the upper tail. Exploratory age-stratified analyses indicated that vitamin D and bone turnover markers were associated with disease in adolescents but not in adults, reflecting the possible influence of systemic metabolic shifts over the lifespan.Conclusions In this single-center cross-sectional sample, elevated serum uric acid and reduced HDL-C and P1NP were associated with TMJOA presence. These exploratory associations require validation in population-based cohorts before clinical application.
SN - 1471-2474
ER -