Evidence map›Paper›PMID 38421082›Full record

ArticlePsychiatry and clinical neurosciences2024

Unraveling the gut-brain connection: The association of microbiota-linked structural brain biomarkers with behavior and mental health.

Oren Contreras-Rodriguez, Gerard Blasco, Carles Biarnés, Josep Puig, Maria Arnoriaga-Rodríguez, Clàudia Coll-Martinez, Jordi Gich, Lluís Ramió-Torrentà, Anna Motger-Albertí, Vicente Pérez-Brocal and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Psychiatry and clinical neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

13 authors at 8 institutions in 1 country.

Oren Contreras-RodriguezDepartment of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.ORCID https://orcid.org/0000-0001-8922-8084
Gerard BlascoDepartment of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Carles BiarnésDepartment of Radiology-Medical Imaging (IDI), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Josep PuigRadiology Department CDI, Hospital Clinic of Barcelona, Barcelona, Spain.
Maria Arnoriaga-RodríguezDepartment of Diabetes, Endocrinology, and Nutrition (UDEN), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Clàudia Coll-MartinezNeuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain.
Jordi GichNeuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain.
Lluís Ramió-TorrentàNeuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain.
Anna Motger-AlbertíDepartment of Diabetes, Endocrinology, and Nutrition (UDEN), Girona Biomedical Research Institute (IdIBGi), Dr. Josep Trueta University Hospital, Girona, Spain.
Vicente Pérez-BrocalDepartment of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), València, Spain.
Andrés MoyaDepartment of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), València, Spain.ORCID https://orcid.org/0000-0002-2867-1119
Joaquim RaduaHealth Institute Carlos III (ISCIII), Madrid, Spain.
José Manuel Fernández-RealHealth Institute Carlos III (ISCIII), Madrid, Spain.ORCID https://orcid.org/0000-0002-7442-9323
Hospital Universitari de Girona Doctor Josep Trueta · ESInstitut d'Investigació Biomèdica de Girona · ESUniversitat de Girona · ESConsejo Superior de Investigaciones Científicas · ESFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESHospital Clínic de Barcelona · ESInstituto de Salud Carlos III · ESUniversitat Autònoma de Barcelona · ES

Funding

Conselleria de Sanitat Universal i Salut PúblicaProgramme GenT contractDepartment of Health, Generalitat of Catalunya SLT017/20/000115Instituto de Salud Carlos III CM19/00190Instituto de Salud Carlos III CP20/00165Instituto de Salud Carlos III CPII19/00009Instituto de Salud Carlos III PI15/01934Interreg EFA345/19
6 · The paper itself

Abstract

aimThe gut microbiota can influence human behavior. However, due to the massive multiple-testing problem, research into the relationship between microbiome ecosystems and the human brain faces drawbacks. This problem arises when attempting to correlate thousands of gut bacteria with thousands of brain voxels.

methodsWe performed brain magnetic resonance imaging (MRI) scans on 133 participants and applied machine-learning algorithms (Ridge regressions) combined with permutation tests. Using this approach, we were able to correlate specific gut bacterial families with brain MRI signals, circumventing the difficulties of massive multiple testing while considering sex, age, and body mass index as confounding factors.

resultsThe relative abundance (RA) of the Selenomonadaceae, Clostridiaceae, and Veillonellaceae families in the gut was associated with altered cerebellar, visual, and frontal T2-mapping and diffusion tensor imaging measures. Conversely, decreased relative abundance of the Eubacteriaceae family was also linked to T2-mapping values in the cerebellum. Significantly, the brain regions associated with the gut microbiome were also correlated with depressive symptoms and attentional deficits.

conclusionsOur analytical strategy offers a promising approach for identifying potential brain biomarkers influenced by gut microbiota. By gathering a deeper understanding of the microbiota-brain connection, we can gain insights into the underlying mechanisms and potentially develop targeted interventions to mitigate the detrimental effects of dysbiosis on brain function and mental health.

Indexed as

BrainBrain-Gut AxisGastrointestinal MicrobiomeMagnetic Resonance ImagingAdultBiomarkersDepressionDiffusion Tensor ImagingFemaleHumansMachine LearningMaleMiddle AgedYoung AdultBiomarkersbrain structurecognitiondepressiongut microbiotamachine‐learning

Identifiers

PMID38421082
PMCPMC11488601
OpenAlexW4392285480

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.