Evidence map›Paper›PMID 38918632›Full record

ArticleNature medicine2024

Strain-specific gut microbial signatures in type 2 diabetes identified in a cross-cohort analysis of 8,117 metagenomes.

Zhendong Mei, Fenglei Wang, Amrisha Bhosle, Danyue Dong, Raaj Mehta, Andrew Ghazi, Yancong Zhang, Yuxi Liu, Ehud Rinott, Siyuan Ma and 13 more

Abstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 2 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

85 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. The Gut-Vagina Axis.Microorganisms · 2026
    Review
  16. Bone Fragility: Time to Address the Matrix.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  17. Article
  18. Review
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25 more citing papers are in PubMed but not listed here.

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

23 authors.

Zhendong Mei *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-6235-8647
Fenglei Wang *Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-3850-2482
Amrisha BhosleBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Danyue DongChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0009-0003-3256-2876
Raaj MehtaBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Andrew GhaziBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Yancong ZhangBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-2768-2975
Yuxi LiuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2484-151X
Ehud RinottDepartment of Medicine, Hebrew University and Hadassah Medical Center, Jerusalem, Israel.
Siyuan MaDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Eric B RimmChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1402-7250
Martha DaviglusInstitute for Minority Health Research, University of Illinois Chicago, Chicago, IL, USA.
Walter C WillettChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Rob KnightCenter for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-0975-9019
Frank B HuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Qibin QiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-2687-1758
Andrew T ChanBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-7284-6767
Robert D BurkDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-8376-8458
Meir J StampferChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Iris ShaiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Curtis HuttenhowerBroad Institute of MIT and Harvard, Cambridge, MA, USA. chuttenh@hsph.harvard.edu.ORCID 0000-0002-1110-0096
Dong D WangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. dow471@mail.harvard.edu.ORCID 0000-0002-0897-3048

Funding

Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FUCHS, CHARLES S · 1991 to 2009
$41.8M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
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
A comprehensive platform for novel therapy development from the microbiomeR24DK110499 · NIDDK · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS · 2017 to 2021
$7.7M
Validity of Diet and Activity Measures in MenU01CA152904 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI RIMM, ERIC B, STAMPFER, MEIR · 2010 to 2013
$7.2M
Precision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9M
Towards Precision Nutrition for Alzheimer's Dementia Prevention: A Prospective Study of Dietary Patterns, the Gut Microbiome and Cognitive FunctionR01AG077489 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Dong Wang · 2022 to 2026
$4.4M
American Heart Association (American Heart Association, Inc.) 897161Deutsche Forschungsgemeinschaft (German Research Foundation) 209933838NCI NIH HHS P01 CA055075NCI NIH HHS R01 CA202704NCI NIH HHS R35 CA253185NCI NIH HHS U01 CA152904NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL060712NIA NIH HHS R01 AG077489NIA NIH HHS RF1 AG083764NIDDK NIH HHS K99 DK119412NIDDK NIH HHS P30 DK046200NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R00 DK119412NIDDK NIH HHS R24 DK110499NIEHS NIH HHS P30 ES027792NIMHD NIH HHS R01 MD011389NINR NIH HHS R01 NR019992U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30DK046200U.S. Department of Health & Human Services | National Institutes of Health (NIH) R00DK119412U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AG077489U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01NR01999U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) R24DK110499
6 · The paper itself

Abstract

The association of gut microbial features with type 2 diabetes (T2D) has been inconsistent due in part to the complexity of this disease and variation in study design. Even in cases in which individual microbial species have been associated with T2D, mechanisms have been unable to be attributed to these associations based on specific microbial strains. We conducted a comprehensive study of the T2D microbiome, analyzing 8,117 shotgun metagenomes from 10 cohorts of individuals with T2D, prediabetes, and normoglycemic status in the United States, Europe, Israel and China. Dysbiosis in 19 phylogenetically diverse species was associated with T2D (false discovery rate < 0.10), for example, enriched Clostridium bolteae and depleted Butyrivibrio crossotus. These microorganisms also contributed to community-level functional changes potentially underlying T2D pathogenesis, for example, perturbations in glucose metabolism. Our study identifies within-species phylogenetic diversity for strains of 27 species that explain inter-individual differences in T2D risk, such as Eubacterium rectale. In some cases, these were explained by strain-specific gene carriage, including loci involved in various mechanisms of horizontal gene transfer and novel biological processes underlying metabolic risk, for example, quorum sensing. In summary, our study provides robust cross-cohort microbial signatures in a strain-resolved manner and offers new mechanistic insights into T2D.

Indexed as

Diabetes Mellitus, Type 2Gastrointestinal MicrobiomeMetagenomePhylogenyChinaCohort StudiesDysbiosisEuropeFemaleHumansIsraelMaleMiddle AgedUnited States

Identifiers

PMID38918632
PMCPMC11620793

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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.