Evidence map›Paper›PMID 40021830›Full record

ArticleMolecular psychiatry2025

Quantitative trait loci mapping of circulating metabolites in cerebrospinal fluid to uncover biological mechanisms involved in brain-related phenotypes.

Lianne M Reus, Toni Boltz, Marcelo Francia, Merel Bot, Naren Ramesh, Maria Koromina, Yolande A L Pijnenburg, Anouk den Braber, Wiesje M van der Flier, Pieter Jelle Visser and 5 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Genetic regulation of the metabolome differs by sex, Alzheimer's disease stage, and plasma biomarker status.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Lianne M Reus *Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA. l.reus@amsterdamumc.nl.ORCID 0000-0001-6936-242X
Toni Boltz *Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA. tboltz@g.ucla.edu.
Marcelo FranciaCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Merel BotCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
Naren RameshCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID 0009-0004-0210-1646
Maria KorominaCharles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Yolande A L PijnenburgAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Anouk den BraberAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.
Wiesje M van der FlierAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID 0000-0001-8766-6224
Pieter Jelle VisserAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID 0000-0001-8008-9727
Sven J van der LeeAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID 0000-0003-1606-8643
Betty M TijmsAlzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands.ORCID 0000-0002-2612-1797
Charlotte E TeunissenNeurochemistry Lab, Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4061-0837
Loes Olde LoohuisCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.ORCID 0000-0002-3327-7837
Roel A OphoffCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA. ophoff@ucla.edu.ORCID 0000-0002-8287-6457

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Joint genomic and statistical analyses of schizophrenia and bipolar to decipher genetic susceptibilityR01MH115676 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Roel A Ophoff, Bogdan Pasaniuc · 2018 to 2026
$5.9M
Genetics of CSF Metabolites in Alzheimer Disease and other Brain DisordersRF1AG058484 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OPHOFF, ROEL A · 2018 to 2018
$3.8M
NHGRI NIH HHS T32 HG002536NIA NIH HHS RF1 AG058484NIMH NIH HHS R01 MH115676U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) 5T32HG002536U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH115676U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) RF1AG058484
6 · The paper itself

Abstract

Genomic studies of molecular traits have provided mechanistic insights into complex disease, though these lag behind for brain-related traits due to the inaccessibility of brain tissue. We leveraged cerebrospinal fluid (CSF) to study neurobiological mechanisms in vivo, measuring 5543 CSF metabolites, the largest panel in CSF to date, in 977 individuals of European ancestry. Individuals originated from two separate cohorts including cognitively healthy subjects (n = 490) and a well-characterized memory clinic sample, the Amsterdam Dementia Cohort (ADC, n = 487). We performed metabolite quantitative trait loci (mQTL) mapping on CSF metabolomics and found 126 significant mQTLs, representing 65 unique CSF metabolites across 51 independent loci. To better understand the role of CSF mQTLs in brain-related disorders we integrated our CSF mQTL results with pre-existing summary statistics on brain traits, identifying 34 genetic associations between CSF metabolites and brain traits. Over 90% of significant mQTLs demonstrated colocalized associations with brain-specific gene expression, unveiling potential neurobiological pathways.

Indexed as

Quantitative Trait LociAgedBrainCerebrospinal FluidCohort StudiesFemaleGenome-Wide Association StudyHumansMaleMetabolomeMetabolomicsMiddle AgedPhenotypePolymorphism, Single NucleotideWhite People

Identifiers

PMID40021830
PMCPMC13502291

What OpenQuestion holds

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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.