| Title: | Metabolic Score for Visceral Fat and Gallstone Disease Risk: A Multicenter Cohort Study and Mediation Analysis of Inflammatory Biomarkers |
| Journal: | Journal of Digestive Diseases |
| Published: | 1 Jan 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41972257/ |
| DOI: | https://doi.org/10.1111/1751-2980.70044 |
Publication 18760
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Abstract
OBJECTIVES: Gallstone disease (GSD), a prevalent digestive disorder, remains mechanistically underexplored in relation to visceral adipose. The Metabolic Score for Visceral Fat (METS-VF), a novel metric for quantifying visceral adipose tissue, has not yet been evaluated for its association with GSD in cohort studies. We aimed to investigate the METS-VF-GSD association across multicenter cohorts.</p>
METHODS: Multicenter cohort analysis of 59 851 participants from two Chinese hospitals and 357 233 participants from the UK Biobank dataset was conducted using Cox models to investigate the association between METS-VF and GSD risk. Competing risk models were also applied to the UK Biobank cohort. Meta-analysis and mediation analysis were used to synthesize results from the cohort analysis and evaluate mediation effects of inflammatory biomarkers.</p>
RESULTS: Cox models revealed a significant positive association between METS-VF and GSD risk, with a "J-shaped" nonlinearity, as confirmed by restricted cubic spline analysis (p < 0.05). Meta-analysis revealed that for each 1-unit and 1-standard deviation increase in METS-VF, GSD risk increased by 84% and 57%, respectively. Compared with participants in quantile 1 (Q1) of METS-VF, those in Q2 (pooled hazard ratio [HR] 1.65, 95% confidence interval [CI] 1.35-2.01), Q3 (pooled HR 2.16, 95% CI 1.83-2.54), and Q4 (pooled HR 3.00, 95% CI 2.82-3.19) were associated with progressively higher GSD risk. Mediation analysis revealed that certain inflammatory biomarkers partially mediated the effect of METS-VF on incident GSD.</p>
CONCLUSIONS: Increased METS-VF is associated with a higher risk of GSD. It may serve as an important indicator for identifying high-risk populations for GSD.</p>
16 Keywords
- Adult
- Aged
- Biomarkers
- China
- Cohort Studies
- Female
- Gallstones
- Humans
- Intra-Abdominal Fat
- Male
- Mediation Analysis
- Middle Aged
- Proportional Hazards Models
- Risk Assessment
- Risk Factors
- United Kingdom
19 Authors
- Cui Hua Zhang
- Meng Lin He
- Hong Yu Li
- Yi Jiang
- Jing Luo
- Hong Yang
- Zi Jie Chen
- Xuan Bai
- Guo Heng Jiang
- Lin Jun Xie
- Yi Ting Xu
- Xin Wang
- Wen Qian Yu
- Min Gao
- Jiong Lu
- Jin Zhou
- Ding Zi Zhou
- Jia Yuan Li
- Xin Wang
1 Application
| Application ID | Title |
|---|---|
| 50538 | Relationships between blood, urinary and other biomarkers and risk of human noncommunicable diseases, all-cause mortality, and cause-specific mortality |
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