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Dataset Information

Investigating seasonal metabolic variations in bipolar disorder: a targeted metabolomics study.


ABSTRACT:

Background

Bipolar disorder (BD) is a severe mental illness characterized by seasonal episodes, yet its metabolic basis remains unclear.

Methods

This study utilized targeted metabolomics to investigate seasonal metabolic changes. Serum samples were collected from 9 BD patients And 9 matched healthy controls (HCs) at six time points: 15 days before, on, And 15 days after both the spring and autumn equinoxes. All samples were analyzed using the same platform for consistency.

Results

In the autumn phase, repeated-measures Analysis identified 15 metabolites in HCs And 38 in BD with time effects, And 111 showed group-by-time interactions; none remained significant after false discovery rate (FDR) correction. In contrast, Analysis across the spring And autumn revealed signi

SUBMITTER: Li X 

PROVIDER: S-EPMC12505733 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature