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Dataset Information

Serum metabolites and hypercholesterolemia: insights from a two-sample Mendelian randomization study.


ABSTRACT:

Background

Hypercholesterolemia, a critical contributor to cardiovascular disease, is not fully understood in terms of its relationship with serum metabolites and their role in disease pathogenesis.

Methods

This study leveraged GWAS data to explore the relationship between serum metabolites and hypercholesterolemia, pinpointing significant metabolites via Mendelian Randomization (MR) and KEGG pathway enrichment analysis. Data on metabolites were sourced from a European population, with analysis focusing on individuals diagnosed with hypercholesterolemia.

Results

Out of 486 metabolites analyzed, ten showed significant associations with hypercholesterolemia, categorized into those enhancing risk and those with protective effects. Specifically, 2-methoxyacetaminophen sul

SUBMITTER: Wang W 

PROVIDER: S-EPMC11337230 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature