Evidence map›Paper›PMID 37863966›Full record

ArticleNature communications2023

Disease-specific loss of microbial cross-feeding interactions in the human gut.

Vanessa R Marcelino, Caitlin Welsh, Christian Diener, Emily L Gulliver, Emily L Rutten, Remy B Young, Edward M Giles, Sean M Gibbons, Chris Greening, Samuel C Forster

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Metabolic engineering ofbioRxiv : the preprint server for biology · 2026
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  7. Review
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  15. Article
  16. Article
  17. Single cell viral tagging ofGut microbes · 2025
    Article
  18. Article
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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.

Vanessa R MarcelinoDepartment of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia. vrmarcelino@gmail.com.ORCID 0000-0003-1755-0597
Caitlin WelshDepartment of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, 3800, Australia.
Christian DienerInstitute for Systems Biology, Seattle, WA, 98109, USA.ORCID 0000-0002-7476-0868
Emily L GulliverDepartment of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia.ORCID 0000-0002-1820-6619
Emily L RuttenDepartment of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia.ORCID 0000-0002-1619-3877
Remy B YoungDepartment of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia.
Edward M GilesCentre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, 3168, Australia.ORCID 0000-0003-3295-1575
Sean M GibbonsInstitute for Systems Biology, Seattle, WA, 98109, USA.ORCID 0000-0002-8724-7916
Chris GreeningDepartment of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, 3800, Australia.ORCID 0000-0001-7616-0594
Samuel C ForsterDepartment of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia. sam.forster@hudson.org.au.ORCID 0000-0003-4144-2537

Funding

CyberGut: towards personalized human-microbiome metabolic modeling for precision health and nutritionR01DK133468 · NIDDK · INSTITUTE FOR SYSTEMS BIOLOGY · PI Sean Michael Gibbons · 2022 to 2026
$3.6M
NIDDK NIH HHS R01 DK133468
6 · The paper itself

Abstract

Many gut microorganisms critical to human health rely on nutrients produced by each other for survival; however, these cross-feeding interactions are still challenging to quantify and remain poorly characterized. Here, we introduce a Metabolite Exchange Score (MES) to quantify those interactions. Using metabolic models of prokaryotic metagenome-assembled genomes from over 1600 individuals, MES allows us to identify and rank metabolic interactions that are significantly affected by a loss of cross-feeding partners in 10 out of 11 diseases. When applied to a Crohn's disease case-control study, our approach identifies a lack of species with the ability to consume hydrogen sulfide as the main distinguishing microbiome feature of disease. We propose that our conceptual framework will help prioritize in-depth analyses, experiments and clinical targets, and that targeting the restoration of microbial cross-feeding interactions is a promising mechanism-informed strategy to reconstruct a healthy gut ecosystem.

Indexed as

Crohn DiseaseGastrointestinal MicrobiomeMicrobiotaCase-Control StudiesHumansMetagenome

Identifiers

PMID37863966
PMCPMC10589287

What OpenQuestion 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 OpenQuestion graph.