ArticleNeuropsychiatric disease and treatment2025
Alterations of Blood Plasma Metabolites, Including Kynurenine and Tryptophan, in Bipolar Disorder.
Article in Neuropsychiatric disease and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- NMR-based metabolic profiling in urine for bipolar disorder manic episode.Irish journal of medical science · 2026Article
- Timing of NAD Deficiency During Organogenesis Dictates Defect Type and Penetrance.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Molecular and Neuroimaging Correlates of Bipolar Disorder: Linking Inflammation, Mitochondria, and Brain Circuitry.International journal of molecular sciences · 2026Review
- Metabolomics biomarkers for precision psychiatry.Frontiers in psychiatry · 2026Review
- Comparing plasma levels and ratios of tryptophan, serotonin, kynurenine and quinolinic acid between patients with bipolar disorder and healthy controls: impact of depressive episode or post-traumatic stress disorder symptoms.Frontiers in psychiatry · 2025Article
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Authors and funding
15 authors.
Funding
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Abstract
Background: Bipolar disorder (BD) is a psychiatric disorder characterized by recurrent episodes of mania and depression. However, the pathophysiology has not yet been fully elucidated. Methods: In this study, we employed capillary electrophoresis time-of-flight mass spectrometry to measure 34 plasma metabolites and compared the levels between individuals with BD (N = 64, male/female = 30/34, age [mean ± S.D.] = 51.4 ± 12.0 years) and non-psychiatric controls (N = 92, male/female = 32/60, age = 38.6 ± 13.4 years). Results: Significant differences in 12 plasma metabolites, including kynurenine and tryptophan, were observed between the two groups (q < 0.05). Discussion: These findings support the involvement of amino acid dysregulation in the pathophysiology of BD. However, the cross-sectional design, lack of control for medication, diet, and smoking, and the use of peripheral rather than central samples limit the generalizability of the results. Further longitudinal and mechanistic studies are needed. Integration with clinical, imaging, and genetic data in future research may facilitate the development of metabolomics-based biomarkers.
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