Matrix metalloproteinases and risk of cardiovascular mortality and morbidity in the United Kingdom: A prospective cohort study with machine learning analysis.

ABSTRACT:

Objective

To explore the predictive role of matrix metalloproteinases (MMPs) in cardiovascular disease (CVD) outcomes.

Methods

In a cohort of 37,154 UK Biobank participants, we analyzed plasma levels of nine MMPs using baseline samples collected in the United Kingdom between 2006 and 2010, with follow-up for outcomes until April 22, 2024. Cox models estimated Hazard Ratios (HR) and 95% Confidence Intervals (CI) for CVD mortality, morbidity, and subtypes. Machine learning models were built and evaluated using Kaplan-Meier curves, receiver operating characteristic curves(ROC), and SHapley Additive exPlanations (SHAP) for feature importance.

Results

MMP-1, -3, -7, -8, -9, and - 12 were associated with increased risk of CVD mortality. MMP-7 (HR: 1.57, 95% CI: 1.37, 1.80)

SUBMITTER: Huang J 

PROVIDER: S-EPMC12906063 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature