Evidence map›Paper›PMID 38914826›Full record

ArticleNature microbiology2024

Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut.

Nick Quinn-Bohmann, Tomasz Wilmanski, Katherine Ramos Sarmiento, Lisa Levy, Johanna W Lampe, Thomas Gurry, Noa Rappaport, Erin M Ostrem, Ophelia S Venturelli, Christian Diener and 1 more

Abstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

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  15. Human-Centered Innovation: Precision Nutrition and the Future of Food.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Nick Quinn-BohmannInstitute for Systems Biology, Seattle, WA, USA.
Tomasz WilmanskiInstitute for Systems Biology, Seattle, WA, USA.
Katherine Ramos SarmientoInstitute for Systems Biology, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6591-3228
Lisa LevyFred Hutchinson Cancer Center, Seattle, WA, USA.
Johanna W LampeFred Hutchinson Cancer Center, Seattle, WA, USA.
Thomas GurryPharmaceutical Biochemistry Group, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Noa RappaportCenter for Phenomic Health, Buck Institute for Research on Aging, Novato, CA, USA.ORCID http://orcid.org/0000-0001-8643-2055
Erin M OstremDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
Ophelia S VenturelliDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0003-2200-1963
Christian DienerInstitute for Systems Biology, Seattle, WA, USA. christian.diener@medunigraz.at.ORCID http://orcid.org/0000-0002-7476-0868
Sean M GibbonsInstitute for Systems Biology, Seattle, WA, USA. sgibbons@isbscience.org.ORCID http://orcid.org/0000-0002-8724-7916

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Thomas Girke, NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
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
NCI NIH HHS P30 CA015704NIA NIH HHS U19 AG023122NIDDK NIH HHS R01 DK133468U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30CA015704U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DK133468U.S. Department of Health & Human Services | National Institutes of Health (NIH) U19AG023122
6 · The paper itself

Abstract

Microbially derived short-chain fatty acids (SCFAs) in the human gut are tightly coupled to host metabolism, immune regulation and integrity of the intestinal epithelium. However, the production of SCFAs can vary widely between individuals consuming the same diet, with lower levels often associated with disease. A systems-scale mechanistic understanding of this heterogeneity is lacking. Here we use a microbial community-scale metabolic modelling (MCMM) approach to predict individual-specific SCFA production profiles to assess the impact of different dietary, prebiotic and probiotic inputs. We evaluate the quantitative accuracy of our MCMMs using in vitro and ex vivo data, plus published human cohort data. We find that MCMM SCFA predictions are significantly associated with blood-derived clinical chemistries, including cardiometabolic and immunological health markers, across a large human cohort. Finally, we demonstrate how MCMMs can be leveraged to design personalized dietary, prebiotic and probiotic interventions aimed at optimizing SCFA production in the gut. Our model represents an approach to direct gut microbiome engineering for precision health and nutrition.

Indexed as

Fatty Acids, VolatileGastrointestinal MicrobiomeAdultBacteriaCohort StudiesDietGastrointestinal TractHumansModels, BiologicalPrebioticsProbioticsFatty Acids, VolatilePrebiotics

Identifiers

PMID38914826
PMCPMC11841136

What OpenQuestion holds

Textmetadata
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.