Evidence map›Paper›PMID 40990330›Full record

ArticleThe international journal of neuropsychopharmacology2025

Identification of peripheral biomarkers through metabolomic analysis in patients with bipolar disorder treated with mood stabilizers: an exploratory study.

Cristina Piras, Claudia Pisanu, Martina Spada, Anna Meloni, Donatella Congiu, Vanessa Palmas, Giovanni Severino, Raffaella Ardau, Caterina Chillotti, Martina Contu and 9 more

Abstract read
In one paragraph

Article in The international journal of neuropsychopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Cristina PirasDepartment of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Claudia PisanuSection of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Martina SpadaDepartment of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Anna MeloniSection of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Donatella CongiuSection of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Vanessa PalmasMicrobiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Giovanni SeverinoSection of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Raffaella ArdauUnit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy.
Caterina ChillottiUnit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy.
Martina ContuSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Pasquale ParibelloSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Marco PinnaSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Federico SupraniUnit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy.
Maria Del ZompoSection of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Bernardo CarpinielloSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Aldo ManzinMicrobiology and Virology Unit, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Mirko ManchiaSection of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Luigi AtzoriDepartment of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Alessio SquassinaSection of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy.ORCID 0000-0001-7415-7607

Funding

Convenzione tra la Fondazione di Sardegna e gli Atenei SardiFondazione di Sardegna F72F20000260007
6 · The paper itself

Abstract

importanceBipolar disorder (BD) is mainly treated with mood stabilizers, among which lithium represents the gold standard. Despite its high clinical efficacy, the molecular players involved in lithium response and nonresponse remain partly unclear. Therefore, the identification of peripheral biomarkers would significantly improve the management of pharmacological interventions in BD. OBJECTIVE AND

designIn this study, we sought to investigate the blood metabolome in patients with BD to identify biosignatures of treatment with different mood stabilizers as well as possible biomarkers of response to lithium. SETTING AND

participantsThe blood metabolome was measured in a sample of 89 patients with BD either under prophylactic lithium treatment (n = 47), and characterized as responders or nonresponders, or with other mood stabilizers (MS, n = 42). For each patient the plasma metabolome was measured with hydrogen nuclear magnetic resonance (1H-NMR) and gas chromatography-mass spectrometry (GC-MS). Data were investigated with multivariate analyses accounting for covariates.

resultsPatients exposed to lithium or to other MS showed different, specific metabolic signatures, with different levels of metabolites belonging to pathways involved in glucose, pyruvate, and glutamate metabolism, which were previously suggested to be implicated in BD and to be regulated by lithium. On the other hand, we were not able to identify significant differences in the metabolomic profile between responders and nonresponders to lithium. CONCLUSIONS AND RELEVANCE: The findings from this exploratory study suggest that patients treated with lithium show distinctive metabolomic biosignatures, specifically pointing to energy metabolism and mitochondria functioning, thus potentially suggesting possible biosignatures of mood-stabilizing treatments.

Indexed as

Antimanic AgentsBipolar DisorderMetabolomeAdultBiomarkersFemaleGas Chromatography-Mass SpectrometryHumansMaleMetabolomicsMiddle AgedAntimanic AgentsBiomarkersbiomarkersmetabolitesmood disorderspersonalized psychiatryresponse to mood stabilizers

Identifiers

PMID40990330
PMCPMC12539573

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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.