Evidence map›Paper›PMID 41057771›Full record

ArticleBMC psychiatry2025

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

Xue Li, Xinzi Liu, Ziyan Li, Sitong Feng, Sisi Zheng, Hongxiao Jia, Dongqing Yin

Abstract read
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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xue Li *Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Xinzi Liu *Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Ziyan Li *Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Sitong FengBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Sisi ZhengBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Hongxiao JiaBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China. jhxlj@ccmu.edu.cn.
Dongqing YinBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China. yindq1123@mail.ccmu.edu.cn.

Funding

Beijing Hospitals Authority's Ascent Plan DFL20191901Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support ZYLX202129
6 · The paper itself

Abstract

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

methodsThis 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.

resultsIn 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 significant time effects in 277 metabolites in HCs And 263 in BD, with 16 triacylglycerols showing significant interactions (FDR-p < 0.05). Group differences peaked around the autumn equinox, with opposite trends observed. Amino acids such as glutamine, lysine, histidine, and asymmetric dimethylarginine continuously increased from spring to autumn in both groups. These seasonal variations in BD metabolites from spring to autumn were mainly linked to the biosynthetic pathways of phenylalanine, tyrosine, and tryptophan.

conclusionThese findings indicate a seasonal modulation of serum metabolite profiles in individuals with BD, which may underlie or reflect mood-related changes. However, causal relationships and mechanistic pathways require further validation.

Indexed as

Bipolar DisorderMetabolomicsSeasonsAdultAmino AcidsCase-Control StudiesFemaleHumansMaleMiddle AgedAmino AcidsAmino acid biosynthesisBipolar disorderSeasonal episodesTriacylglycerols metabolism

Identifiers

PMID41057771
PMCPMC12505733

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.