Evidence mapPaperPMID 40649910Full record

ReviewInternational journal of molecular sciences2025

Plasma and Serum LC-MS Lipidomic Fingerprints of Bipolar Disorder and Schizophrenia.

Marija Takić, Vesna Jovanović, Suzana Marković, Zoran Miladinović, Milka Jadranin, Gordana Krstić, Čedo Miljević, Vele Tešević, Boris Mandić

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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. Multi-omics elucidation ofFrontiers in nutrition · 2025
    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

9 authors.

Marija TakićGroup for Nutrition and Metabolism, Center of Research Excellence for Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Dr Subotića 4, 11000 Belgrade, Serbia.ORCID 0000-0001-8449-165X
Vesna JovanovićUniversity of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia.
Suzana MarkovićUniversity of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia.
Zoran MiladinovićInstitute of General and Physical Chemistry, Studentski trg 12-16, 11158 Belgrade, Serbia.ORCID 0000-0003-2086-9064
Milka JadraninDepartment of Chemistry, University of Belgrade-Institute of Chemistry, Technology and Metallurgy, Njegoševa 12, 11000 Belgrade, Serbia.ORCID 0000-0002-4235-3504
Gordana KrstićUniversity of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia.
Čedo MiljevićUniversity of Belgrade-Faculty of Medicine, dr Subotića 8, 11000 Belgrade, Serbia.
Vele TeševićUniversity of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia.ORCID 0000-0001-7060-9055
Boris MandićUniversity of Belgrade-Faculty of Chemistry, Studentski trg 12-16, 11000 Belgrade, Serbia.

Funding

Ministry of Science, Technological Development and Innovations 451-03-136/2025-03/200015, 451-03-136/2025-03/200026, 451-03-136/2025-03/200051, 451-03-66/2024-03/200110, 451-03-136/2025-03/200168Organization for the Prohibition of Chemical Weapons L/ICA/ICB-217652/18, L/ICA/ICB-108/21
6 · The paper itself

Abstract

Bipolar disorder (BD) and schizophrenia (SCH) are results of the complex interactions between genetic and environmental factors, and the underlying pathophysiology is not yet completely understood. The current diagnostic criteria for psychiatric diagnosis are based purely on clinical phenomenology and they are limited to psychiatrist judgment after a standardized clinical interview, with no precise biomarkers used to discriminate between the disorders. Besides gaps in the understanding and diagnosis of these diseases, there is also a need for personalized and precise approaches to patients through customized medical treatment and reliable monitoring of treatment response. To fulfill existing gaps, the establishment of disorder biomarker sets is a necessary step. LC-MS lipidomic blood sample analysis is one of the ongoing omics approaches. In the last ten years, several studies have identified alterations in lipid metabolism associated with BD and SCH, and this review summarizes current knowledge on their lipidomic patterns, which is essential for identifying lipid biomarkers. Currently, findings indicate decreases in plasmalogens and acyl-carnitines, along with increases in certain triacylglycerol species, shared by both conditions. In contrast, serum LC-MS lipidomic profiles of sphingolipids including ceramides could be unique to BD, indicating the need for further investigation in future studies.

Indexed as

Bipolar DisorderLipidomicsLipidsSchizophreniaBiomarkersChromatography, LiquidHumansLipid MetabolismLiquid Chromatography-Mass SpectrometryMass SpectrometryBiomarkersLipidsbiomarkerceramideslipidsphospholipidssphingolipids

Identifiers

PMID40649910
PMCPMC12250178

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.