Sex-specific proteomic signatures improve cardiovascular risk prediction for the general population without cardiovascular disease or diabetes.

ABSTRACT:

Introduction

Accurate prediction of 10-year major adverse cardiovascular events (MACE) is critical for effective disease prevention and management. Although the SCORE2 model introduced sex-specific algorithms, opportunities remain to further refine prediction.

Objectives

To evaluate whether adding sex-specific proteomic profiles to the SCORE2 model enhances 10-year MACE risk prediction in the large UK Biobank (UKB) cohort.

Methods

Data from 47,382 UKB participants, aged 40 to 69 years without prior cardiovascular disease or diabetes, were utilized. Proteomic profiling of plasma samples was conducted using the Olink Explore 3072 platform, measuring 2,923 unique proteins, of which 2,085 could be used. Sex-specific Least Absolute Shrinkage and Selection Operator (LASSO)

SUBMITTER: Xie R 

PROVIDER: S-EPMC12766183 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature