Evidence map›Paper›PMID 41404459›Full record

ArticleFrontiers in neurology2025

Exploratory analysis of epilepsy biomarkers using untargeted metabolomics across multiple cohorts.

Kaisa T Oja, Mihkel Ilisson, Karit Reinson, Kai Muru, Tiia Reimand, Hedi Peterson, Dmytro Fishman, Toomas Haller, Jaanika Kronberg, Estonian Biobank Research Team and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 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. Modern Analytical Techniques in Epilepsy Research.International journal of molecular sciences · 2026
    Review
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

18 authors.

Kaisa T Oja *Department of Genetics and Personalized Medicine, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Mihkel Ilisson *Department of Genetics and Personalized Medicine, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Karit ReinsonDepartment of Genetics and Personalized Medicine, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Kai MuruDepartment of Genetics and Personalized Medicine, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Tiia ReimandDepartment of Genetics and Personalized Medicine, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Hedi PetersonInstitute of Computer Science, Faculty of Science and Technology, University of Tartu, Tartu, Estonia.
Dmytro FishmanInstitute of Computer Science, Faculty of Science and Technology, University of Tartu, Tartu, Estonia.
Toomas HallerEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Jaanika KronbergEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Estonian Biobank Research TeamEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Monica H WojcikCenter for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Adam D KennedyMetabolon, Morrisville, NC, United States.
Laura SommervilleMetabolon, Morrisville, NC, United States.
Gregory MichelottiMetabolon, Morrisville, NC, United States.
Anne O'Donnell-LuriaCenter for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Eve Õiglane-ShlikDepartment of Pediatrics, Institute of Clinical Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia.
Sander PajusaluDepartment of Genetics and Personalized Medicine, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.
Katrin ÕunapDepartment of Genetics and Personalized Medicine, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Epilepsy is a common central nervous system disorder characterized by abnormal brain electrical activity. Diagnosing epilepsy can be challenging, as it has various causes and different clinical manifestations. We aimed to analyze whether there are similarities in the metabolic profiles of patients with epilepsy despite different etiology, seizure frequency, seizure type, and patient age. Methods: Untargeted metabolomics analysis results were analyzed in three cohorts. The pediatric cohort (PED-C) consisted of 110 pediatric individuals with suspicion of a genetic disorder with unclear etiology; the adult cohort (AD-C) of 250 adults from the Estonian Biobank (EstBB), and the elderly cohort (ELD-C) of 583 adults ≥ 69 years from the EstBB. Epilepsy was diagnosed in 35, 11 and 26 cases, respectively. Results: Significant differences (FDR corrected Discussion: Several components of cell membranes were among the altered metabolites, indicating that cell membrane fluidity may have a significant role in the mechanism of epilepsy, and changes in lipid balance may indicate epilepsy. However, further studies are needed to evaluate whether untargeted metabolomics analysis could prove helpful in diagnosing epilepsy earlier.

Indexed as

epilepsyexploratorylipidomicsmetabolomicsphosphatidylcholines

Identifiers

PMID41404459
PMCPMC12703977

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