Evidence map›Paper›PMID 42857727›Full record

ArticleGut microbes reports2027

Type 2 diabetes-associated gut microbial composition and short chain fatty acids differ across the epidemiologic transition in African origin populations.

Larske M Soepnel, Julianne A Jorgensen, Luke Hannan, Candice Choo-Kang, Asanda Mtintsilana, Gertrude Ecklu-Mensah, Jack A Gilbert, Kweku Bedu-Addo, Terrence E Forrester, Pascal Bovet and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gut microbes reports, 2027. 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.

No citing paper in PubMed yet.

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.

Larske M SoepnelDivision of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.ORCID https://orcid.org/0000-0002-0076-7477
Julianne A JorgensenDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-9852-0837
Luke HannanDivision of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.ORCID https://orcid.org/0000-0002-8217-843X
Candice Choo-KangPublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States.ORCID https://orcid.org/0000-0001-9150-1131
Asanda MtintsilanaBiomedical Research Innovation Platform, South African Medical Research Council, Tygerberg, South Africa.ORCID https://orcid.org/0000-0002-0045-0648
Gertrude Ecklu-MensahDepartment of Pediatrics and Scripps Institution of Oceanography, University of California San Diego, San Diego, CA, USA.
Jack A GilbertDepartment of Pediatrics and Scripps Institution of Oceanography, University of California San Diego, San Diego, CA, USA.ORCID https://orcid.org/0000-0001-7920-7001
Kweku Bedu-AddoDepartment of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0001-5479-0691
Terrence E ForresterSolutions for Developing Countries, University of the West Indies, Kingston, Jamaica.ORCID https://orcid.org/0000-0001-7976-8669
Pascal BovetUniversity Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-0242-4259
Bharathi ViswanathanMinistry of Health, Victoria, Republic of Seychelles.ORCID https://orcid.org/0000-0003-4725-1520
Estelle V LambertResearch Centre for Health through Physical Activity and Lifestyle (HPALS), Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-4315-9153
Julia H GoedeckeBiomedical Research Innovation Platform, South African Medical Research Council, Tygerberg, South Africa.ORCID https://orcid.org/0000-0001-6795-4771
Yang DaiDepartment of Biomedical Engineering, College of Engineering and College of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-7638-849X
Amy LukePublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, United States.ORCID https://orcid.org/0000-0001-8484-9439
Brian T LaydenDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-2176-5654
Lara R DugasDivision of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, Western Cape, South Africa.

Funding

METS-Sleep: Sleep timing, gut microbiota and cardiometabolic risk across the Epidemiologic TransitionR01HL148271 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI DUGAS, LARA RUTH, LAYDEN, BRIAN THOMAS · 2019 to 2023
$3.5M
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
Modeling the epidemiologic transition: Energy expenditure, obesity and diabetesR01DK080763 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI LUKE, AMY H · 2009 to 2012
$2.4M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NHLBI NIH HHS R01 HL148271NIDDK NIH HHS R01 DK080763NIDDK NIH HHS R01 DK111848NIH HHS S10 OD026929
6 · The paper itself

Abstract

The gut microbiota and microbially produced short chain fatty acids (SCFAs) are increasingly linked to type 2 diabetes (T2D), particularly in the context of dietary transitions from fiber-rich to more ultra-processed foods. Data in African origin populations are lacking. We examined the cross-sectional relationships between the gut microbiota, SCFAs, and T2D by performing amplicon sequencing and targeted metabolomics from fecal samples and measuring fasting glucose, insulin, and C-peptide in 1505 African origin middle-aged adults from Ghana, South Africa, Jamaica, Seychelles, and the US. Microbial diversity and SCFAs were highest among Ghanaian and lowest among US participants. T2D was associated with lower microbial diversity, but not when stratifying by site. Differential abundance analysis (adjusted for site, sex, BMI, and age) identified microbes associated with T2D:

Indexed as

African-origin populationsepidemiologic transitiongut microbiota compositionshort chain fatty acidsType 2 diabetes

Identifiers

PMID42857727
PMCPMC13652081

What OpenQuestion holds

Textmetadata
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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.