Evidence map›Paper›PMID 38547246›Full record

ArticleCirculation research2024

Gut Microbiota and Blood Metabolites Related to Fiber Intake and Type 2 Diabetes.

Zheng Wang, Brandilyn A Peters, Bing Yu, Megan L Grove, Tao Wang, Xiaonan Xue, Bharat Thyagarajan, Martha L Daviglus, Eric Boerwinkle, Gang Hu and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
15.2field-weighted citation impact, top 1% of its field
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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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  6. GutiMeta · 2026
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  12. Gut Microbiota and Metabolic Health: From Dysbiosis to Therapeutics.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
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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

16 authors at 7 institutions in 2 countries.

Zheng WangDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0003-2052-5552
Brandilyn A PetersDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0002-1534-2578
Bing YuDepartment of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston (B.Y., M.L.G., E.B.).ORCID 0000-0003-4818-1077
Megan L GroveDepartment of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston (B.Y., M.L.G., E.B.).
Tao WangDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.
Xiaonan XueDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.
Bharat ThyagarajanDivision of Molecular Pathology and Genomics, University of Minnesota, Minneapolis, MN (B.T.).ORCID 0000-0001-6968-6985
Martha L DaviglusInstitute for Minority Health Research, University of Illinois at Chicago College of Medicine, Chicago, IL (M.L.D.).ORCID 0000-0002-6791-8727
Eric BoerwinkleDepartment of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston (B.Y., M.L.G., E.B.).ORCID 0000-0001-8813-0544
Gang HuChronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA (G.H.).ORCID 0000-0002-6172-8017
Yasmin Mossavar-RahmaniDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0002-9214-6124
Carmen R IsasiDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0003-2700-9593
Rob KnightCenter for Microbiome Innovation (R.K.), University of California, San Diego, La Jolla.ORCID 0000-0002-0975-9019
Robert D BurkDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0002-8376-8458
Robert C KaplanDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0003-1571-4615
Qibin QiDepartment of Epidemiology and Population Health (Z.W., B.A.P., T.W., X.X., Y.M.-R., C.R.I., R.D.B., R.C.K., Q.Q.), Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0002-2687-1758
Albert Einstein College of Medicine · USThe University of Texas Health Science Center at Houston · USBaylor College of Medicine · USPennington Biomedical Research Center · USUniversity of California San Diego · USUniversity of Illinois Chicago · USUniversity of Minnesota · US

Funding

Genomic Architecture of Common Disease in Diverse Populations: WGS of Ongoing Hemorrhagic Stroke Study SupplementUM1HG008898 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2016 to 2020
$77.0M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Epidemiology of the gut microbiome, prediabetes and diabetes in LatinosR01MD011389 · NIMHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BURK, ROBERT D, KAPLAN, ROBERT C · 2016 to 2020
$4.3M
Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2019 to 2026
$4.2M
Integrated analysis of CVD risk in HIV: gut microbiota, immune function and metabolitesR01HL140976 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KAPLAN, ROBERT C, KNIGHT, ROB · 2018 to 2021
$3.3M
Cardiometabolic Outcomes in Multi-ethnic Physical Activity & Sedentary Behavior Study (COMPASS)R01HL136266 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KAPLAN, ROBERT C, MOSSAVAR-RAHMANI, YASMIN · 2017 to 2020
$3.1M
Multi-omic signatures of gut dysbiosis and cardiovascular comorbidities associated with HIV infectionR01HL170904 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Robert D Burk, JORGE R KIZER · 2023 to 2026
$2.9M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
Human Gut Microbiome and Incident Diabetes Risk in U.S. PopulationsR01DK126698 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QI, QIBIN, SUN, QI · 2021 to 2024
$2.5M
Metabolomics signatures underlying diet, lifestyle and gut microbiota for diabetesR01DK119268 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI QI, QIBIN · 2019 to 2022
$2.4M
Epidemiology of diet, metabolism and non-alcoholic fatty liver disease in Hispanic/Latino adultsR01DK134672 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BURK, ROBERT D, KAPLAN, ROBERT C · 2023 to 2025
$2.1M
NHGRI NIH HHS UM1 HG008898NHLBI NIH HHS K01 HL129892NHLBI NIH HHS K01 HL169019NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL136266NHLBI NIH HHS R01 HL140976NHLBI NIH HHS R01 HL170904NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK119268NIDDK NIH HHS R01 DK120870NIDDK NIH HHS R01 DK126698NIDDK NIH HHS R01 DK134672NIMHD NIH HHS R01 MD011389
6 · The paper itself

Abstract

backgroundConsistent evidence suggests diabetes-protective effects of dietary fiber intake. However, the underlying mechanisms, particularly the role of gut microbiota and host circulating metabolites, are not fully understood. We aimed to investigate gut microbiota and circulating metabolites associated with dietary fiber intake and their relationships with type 2 diabetes (T2D).

methodsThis study included up to 11 394 participants from the HCHS/SOL (Hispanic Community Health Study/Study of Latinos). Diet was assessed with two 24-hour dietary recalls at baseline. We examined associations of dietary fiber intake with gut microbiome measured by shotgun metagenomics (350 species/85 genera and 1958 enzymes; n=2992 at visit 2), serum metabolome measured by untargeted metabolomics (624 metabolites; n=6198 at baseline), and associations between fiber-related gut bacteria and metabolites (n=804 at visit 2). We examined prospective associations of serum microbial-associated metabolites (n=3579 at baseline) with incident T2D over 6 years.

resultsWe identified multiple bacterial genera, species, and related enzymes associated with fiber intake. Several bacteria (eg,

conclusionsAmong United States Hispanics/Latinos, dietary fiber intake was associated with favorable profiles of gut microbiota and circulating metabolites for T2D. These findings advance our understanding of the role of gut microbiota and microbial metabolites in the relationship between diet and T2D.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeBacteriaDietDietary FiberHumansDietary Fiberdiabetes mellitus, type 2dietary fibergastrointestinal microbiomegenes, bacterialmetabolome

Identifiers

PMID38547246
PMCPMC10987058
OpenAlexW4393253885

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.