Evidence map›Paper›PMID 39834614›Full record

ArticleThe Lancet regional health. Europe2025

Association between gut microbiome profiles and host metabolic health across the life course: a population-based study.

Ruolin Li, Alexander Kurilshikov, Shuyue Yang, Julie A E van Oortmerssen, Arno van Hilten, Fariba Ahmadizar, Gennady Roshchupkin, Robert Kraaij, Liesbeth Duijts, Jingyuan Fu and 7 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  9. Importance of human microbiome: an update.Frontiers in microbiomes · 2026
    Review
  10. Observational
  11. Article
  12. Article
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  14. 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

17 authors.

Ruolin LiDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Alexander KurilshikovDepartment of Genetics, University Medical Center Groningen, Groningen, the Netherlands.
Shuyue YangDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Julie A E van OortmerssenDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Arno van HiltenDepartment of Medical Informatics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Fariba AhmadizarDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Gennady RoshchupkinDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Robert KraaijDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Liesbeth DuijtsThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Jingyuan FuDepartment of Genetics, University Medical Center Groningen, Groningen, the Netherlands.
M Kamran IkramDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Vincent W V JaddoeThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
André G UitterlindenDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Fernando RivadeneiraDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Maryam KavousiDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Alexandra ZhernakovaDepartment of Genetics, University Medical Center Groningen, Groningen, the Netherlands.
Carolina Medina-GomezDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The human gut microbiome changes considerably over time. Previous studies have shown that gut microbiome profiles correlate with multiple metabolic traits. As disease development is likely a lifelong process, evidence gathered at different life stages would help gain a better understanding of this correlation. Therefore, we aim to investigate how the association of the gut microbiome and metabolic traits change over the lifespan. Methods: We identified microbiome patterns (clusters) within two population-based cohorts at different life stages, i.e., pre-adolescents of the Generation R Study (mean age 9.8 years; n = 1488) and older adults of the Rotterdam Study (RS, mean age 62.7 years; n = 1265) using K-Means clustering, and surveyed for host metabolic phenotypes, lifestyles and other factors driving these patterns. Analyses were replicated in the Lifelines-DEEP Study (mean age 45.0 years; n = 1117). The association between microbiome clusters and host metabolic health was evaluated as well as the link between microbiome clusters and incident atherosclerotic cardiovascular disease (ASCVD) in RS during follow-up (median 6.5 years). Findings: We identified two distinct microbiome clusters (U and H) within each study population presenting contrasting metabolic statuses. Cluster U was characterized by lower microbiome diversity, increased Interpretation: We provide evidence of a life-course relationship between gut microbiome profiles and metabolic health. Funding: R.L is supported by European UnionHorizon 2020 research and innovation program under Marie Skłodowska-Curie grant agreement No 860898 [FIDELIO].

Indexed as

ASCVDGut microbiomeLife course epidemiologyMetabolic healthObservational studiesPopulation-based cohorts

Identifiers

PMID39834614
PMCPMC11743806

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.