Scholarlink

Background <p>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.</p> Methods <p>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&#xa0;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.</p> Results <p>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 (<i>p</i> &lt; 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.</p> Conclusions <p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Association of uric acid, lipid and bone metabolic markers with temporomandibular joint osteoarthritis: a cross-sectional study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年8月4日

查看全文
  • Chu-Han Zhang,
  • Min-Han Li,
  • Jia-Ying He,
  • Bian Wang,
  • Shan Jin,
  • Miao Chen,
  • Da-Hai Yu,
  • Chi Yang,
  • Zhi-Gui Ma

摘要

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.