Evidence map›Paper›PMID 39306637›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Stool and blood metabolomics in the metabolic syndrome: a cross-sectional study.

Mariana Ponce-de-Leon, Rui Wang-Sattler, Annette Peters, Wolfgang Rathmann, Harald Grallert, Anna Artati, Cornelia Prehn, Jerzy Adamski, Christa Meisinger, Jakob Linseisen

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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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

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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

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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.

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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

10 authors.

Mariana Ponce-de-LeonInstitute for Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany. mariana.ponce-de-leon@outlook.com.
Rui Wang-SattlerInstitute of Translational Genomics, Helmholtz Munich, Munich-Neuherberg, Germany.
Annette PetersInstitute for Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.
Wolfgang RathmannGerman Diabetes Center (DDZ), Leibniz Institute for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Harald GrallertGerman Center for Diabetes Research (DZD), Partner Neuherberg, Munich-Neuherberg, Germany.
Anna ArtatiMetabolomics and Proteomics Core, Helmholtz Munich, Munich-Neuherberg, Germany.
Cornelia PrehnMetabolomics and Proteomics Core, Helmholtz Munich, Munich-Neuherberg, Germany.
Jerzy AdamskiInstitute of Experimental Genetics, Helmholtz Munich, Munich-Neuherberg, Germany.
Christa Meisinger *Epidemiology, Medical Faculty, Universität Augsburg, Augsburg, Germany.
Jakob Linseisen *Institute for Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION/

objectivesChanges in the stool metabolome have been poorly studied in the metabolic syndrome (MetS). Moreover, few studies have explored the relationship of stool metabolites with circulating metabolites. Here, we investigated the associations between stool and blood metabolites, the MetS and systemic inflammation.

methodsWe analyzed data from 1,370 participants of the KORA FF4 study (Germany). Metabolites were measured by Metabolon, Inc. (untargeted) in stool, and using the AbsoluteIDQ

resultsThe MetS was significantly associated with 170 stool and 82 blood metabolites. The MetS components with the highest number of associations were triglyceride levels (stool) and HDL levels (blood). Additionally, 107 and 27 MetS-associated metabolites (in stool and blood, respectively) showed significant associations with hsCRP levels. We found low partial correlation coefficients between stool and blood metabolites. MOFA did not detect shared variation across the two datasets.

conclusionsThe MetS, particularly dyslipidemia, is associated with multiple stool and blood metabolites that are also associated with systemic inflammation. Further studies are necessary to validate our findings and to characterize metabolic alterations in the MetS. Although our analyses point to weak correlations between stool and blood metabolites, additional studies using integrative approaches are warranted.

Indexed as

FecesMetabolic SyndromeMetabolomicsAdultAgedBiomarkersC-Reactive ProteinCross-Sectional StudiesFemaleHumansMaleMetabolomeMiddle AgedTriglyceridesBiomarkersC-Reactive ProteinTriglyceridesBlood metabolomicsMetabolic syndromeStool metabolomicsSystemic inflammation

Identifiers

PMID39306637
PMCPMC11416374

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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.