Evidence map›Paper›PMID 41963296›Full record

ArticleNature communications2026

Exposome-wide patterns predict brain health in aging.

Mostafa Mahdipour, Somayeh Maleki Balajoo, Federico Raimondo, Jianxiao Wu, Eliana Nicolaisen-Sobesky, Shammi More, Felix Hoffstaedter, Holger Schwender, Masoud Tahmasian, Simon B Eickhoff and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Linking the exposome to the brain-behaviour phenotype.Nature reviews. Neuroscience · 2026
    Review
  2. 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

11 authors.

Mostafa MahdipourInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany. m.mahdipour@fz-juelich.de.ORCID 0000-0001-8752-0938
Somayeh Maleki Balajoo *Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0002-5238-2448
Federico RaimondoInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0003-4087-8259
Jianxiao WuInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0002-4866-272X
Eliana Nicolaisen-SobeskyInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0002-4806-2863
Shammi MoreInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0002-1272-217X
Felix HoffstaedterInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0001-7163-3110
Holger SchwenderMathematical Institute, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-2858-6715
Masoud TahmasianInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0003-3999-3807
Simon B EickhoffInstitute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.ORCID 0000-0001-6363-2759
Sarah Genon *Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany. s.genon@fz-juelich.de.ORCID 0000-0002-7087-7882

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) GE 2835/2-1Deutsche Forschungsgemeinschaft (German Research Foundation) GE 2835/9-1Deutsche Forschungsgemeinschaft (German Research Foundation) SFB 1451 - Project-ID 431549029
6 · The paper itself

Abstract

Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as measured with the Brain Age Gap (BAG) - the difference between chronological and predicted brain age- relates to many factors. However, a holistic view, integrating the range of factors an individual brain is exposed to, is missing for understanding how the exposome shapes brain health. After computing BAG as an indicator of grey matter (GM) health, we predicted it using machine learning based on 261 exposome variables (spanning biomedical, environmental, lifestyle, socio-affective, and early life domains) in UK Biobank participants. Exposome data can predict GM health with factors pertaining to cardiovascular and bone health, along with alcohol and smoking, nutrition and diabetes showing greater contribution to the prediction. In such domains, life period and duration of exposure appeared crucial. These findings call for early prevention in cardiovascular and metabolic health to promote life-long brain health.

Indexed as

AgingBrainExposomeAgedFemaleGray MatterHumansLife StyleMachine LearningMaleMiddle AgedUK Biobank

Identifiers

PMID41963296
PMCPMC13068930

What OpenQuestion holds

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Registered trials

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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.