Assessing the associations of 1,400 blood metabolites with major depressive disorder: a Mendelian randomization study.

ABSTRACT:

Background and objectives

Major Depressive Disorder (MDD) is one of the most prevalent and debilitating health conditions worldwide. Previous studies have reported a link between metabolic dysregulation and MDD. However, evidence for a causal relationship between blood metabolites and MDD is lacking.

Methods

Using a two-sample bidirectional Mendelian randomization analysis (MR), we assessed the causal relationship between 1,400 serum metabolites and Major Depressive Disorder (MDD). The Inverse Variance Weighted method (IVW) was employed to estimate the causal association between exposures and outcomes. Additionally, MR-Egger regression, weighted median, simple mode, and weighted mode methods were used as supplementary approaches for a comprehensive appraisal of the causality

SUBMITTER: Dong T 

PROVIDER: S-EPMC11187323 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature