Evidence map›Paper›PMID 37090540›Full record

ArticleResearch square2023

Gut microbiota and fecal short chain fatty acids differ with adiposity and country of origin: The METS-Microbiome Study.

Jack Gilbert, Gertrude Ecklu-Mensah, Maria Gjerstad Maseng, Sonya Donato, Candice Coo-Kang, Lara Dugas, Pascal Bovet, Kweku Bedu-Addo, Jacob Plange-Rhule, Terrence Forrester and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 5 countries.

Jack GilbertUniversity of California San Diego.ORCID 0000-0001-7920-7001
Gertrude Ecklu-MensahUniversity of California-San Diego.ORCID 0000-0003-1770-3071
Maria Gjerstad MasengUniversity of Oslo.
Sonya DonatoUniversity of California San Diego.
Candice Coo-KangLoyola University.
Lara DugasLoyola University Chicago.ORCID 0000-0002-0692-8585
Pascal BovetUniversity Center for Primary Care and Public Health.
Kweku Bedu-AddoKwame Nkrumah University of Science and Technology.
Jacob Plange-RhuleKwame Nkrumah University of Science and Technology.
Terrence ForresterUniversity of West Indies.ORCID 0000-0001-7976-8669
Estelle LambertUniversity of Cape Town.
Dale RaeUniversity of Cape Town.
Amy LukeLoyola University School of Medicine.ORCID 0000-0001-8484-9439
Brian LaydenUniversity of Illinois at Chicago.
Stephen O'Keefe
University of California San Diego · USKwame Nkrumah University of Science and Technology · GHUniversity of Cape Town · ZALoyola University Chicago · USUniversity of Illinois Chicago · USUniversity of Oslo · NO

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2013 to 2026
$20.9M
Gut microbiota, short chain fatty acids, and adiposity across the epidemiologic transitionR01DK111848 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI DUGAS, LARA RUTH · 2017 to 2021
$3.0M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NIDDK NIH HHS P30 DK020595NIDDK NIH HHS R01 DK111848NIH HHS S10 OD026929
6 · The paper itself

Abstract

The relationship between gut microbiota, short chain fatty acid (SCFA) metabolism, and obesity is still not well understood. Here we investigated these associations in a large (n=1904) African origin cohort from Ghana, South Africa, Jamaica, Seychelles, and the US. Fecal microbiota diversity and SCFA concentration were greatest in Ghanaians, and lowest in the US population, representing the lowest and highest end of the epidemiologic transition spectrum, respectively. Obesity was significantly associated with a reduction in SCFA concentration, microbial diversity and SCFA synthesizing bacteria. Country of origin could be accurately predicted from the fecal microbiota (AUC=0.97), while the predictive accuracy for obesity was inversely correlated to the epidemiological transition, being greatest in Ghana (AUC = 0.57). The findings suggest that the microbiota differences between obesity and non-obesity may be larger in low-to-middle-income countries compared to high-income countries. Further investigation is needed to determine the factors driving this association.
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Identifiers

PMID37090540
PMCPMC10120767
OpenAlexW4365458951

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.