Evidence map›Paper›PMID 40525505›Full record

ArticleAnnals of neurology2025

Cerebrospinal Fluid Metabolome in Central Nervous System Infections: A Study of Diagnostic Accuracy.

Steven L Staal, Sabine E Olie, Michel van Weeghel, Bauke V Schomakers, Frédéric M Vaz, I‐PACE Study Group, Diederik van de Beek, Matthijs C Brouwer

Abstract read
In one paragraph

Article in Annals of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Advances in the management of pediatric low-grade glioma.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  4. Article
  5. 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

8 authors.

Steven L StaalAmsterdam UMC, University of Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, the Netherlands.
Sabine E OlieAmsterdam UMC, University of Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, the Netherlands.
Michel van WeeghelAmsterdam UMC, University of Amsterdam, Core Facility Metabolomics, Amsterdam, the Netherlands.
Bauke V SchomakersAmsterdam UMC, University of Amsterdam, Core Facility Metabolomics, Amsterdam, the Netherlands.
Frédéric M VazAmsterdam UMC, University of Amsterdam, Core Facility Metabolomics, Amsterdam, the Netherlands.
I‐PACE Study Group
Diederik van de BeekAmsterdam UMC, University of Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, the Netherlands.
Matthijs C BrouwerAmsterdam UMC, University of Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, the Netherlands.ORCID 0000-0001-7775-7843

Funding

H2020 European Research Council 101001237ZonMw 917.17.308
6 · The paper itself

Abstract

objectiveTo assess the diagnostic accuracy of metabolites in cerebrospinal fluid (CSF) for central nervous system (CNS) infections.

methodsPatients were derived from three prospective cohort studies in the Netherlands. All studies included adults suspected of a CNS infection who underwent a diagnostic lumbar puncture. Metabolomics was performed on CSF using ultra-high-performance liquid chromatography with tandem mass spectrometry on a discovery and validation cohort. Metabolite quantification was the index test; a microbiologically confirmed diagnosis was the reference standard.

resultsIn total, 343 episodes were included, of whom 170 (50%) had a CNS infections and 173 (50%) episodes had other diagnoses. CNS infections included bacterial meningitis in 88 (26%), viral meningoencephalitis in 50 (15%), and other CNS infections in 32 (9%) episodes. Other diagnoses consisted of CNS autoimmune disorders in 21 (6%), other neurological diseases in 84 (24%), and systemic infections in 68 (20%) episodes. A distinct metabolomic profile was observed in CSF of CNS infections, particularly bacterial meningitis. Glucose, glycerate, 1.3-diphosphoglyceric acid, pyruvate, lactate, taurine, and alpha-ketoglutarate had the highest diagnostic accuracy (area under the curve 0.87 to 0.95). Combinations further improved diagnostic accuracy, resulting in models that outperformed both individual metabolites and CSF leukocytes. Episodes with CSF leukocytes between 5 and 1,000 cells per mm

interpretationCSF metabolites demonstrate high diagnostic accuracy for CNS infections, particularly bacterial meningitis. Combinations further improve the diagnostic performance, exceeding that of CSF leukocytes alone. These findings highlight the potential of cerebrospinal fluid metabolites to improve diagnostic accuracy in clinical practice. ANN NEUROL 2025;98:851-863.

Indexed as

Central Nervous System InfectionsMetabolomeAdultAgedCohort StudiesFemaleHumansMaleMeningitis, BacterialMetabolomicsMiddle AgedNetherlandsProspective StudiesTandem Mass SpectrometryYoung Adult

Identifiers

PMID40525505
PMCPMC12542320

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