Evidence map›Paper›PMID 32619440›Full record

ArticleCell host & microbe2020

Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes.

Sandra Reitmeier, Silke Kiessling, Thomas Clavel, Markus List, Eduardo L Almeida, Tarini S Ghosh, Klaus Neuhaus, Harald Grallert, Jakob Linseisen, Thomas Skurk and 15 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Cell host & microbe, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 1 pooled it
21.2field-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

160 citing papers in PubMed, 1 synthesis or guideline pooled it, 281 citations in OpenAlex.

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  17. The Japanese gut microbiome: ecology, uniqueness, and impact on health and disease.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2026
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100 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 9 institutions in 3 countries.

Sandra ReitmeierZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany; Chair of Nutrition and Immunology, Technical University of Munich, Gregor-Mendel-Str. 2, 85354 Freising, Germany.
Silke KiesslingZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany; Chair of Nutrition and Immunology, Technical University of Munich, Gregor-Mendel-Str. 2, 85354 Freising, Germany.
Thomas ClavelZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany; Functional Microbiome Research Group, Institute of Medical Microbiology, RWTH University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany.
Markus ListChair of Experimental Bioinformatics, Technical University of Munich, Maximus-von-Imhof-Forum 3, 85354 Freising, Germany.
Eduardo L AlmeidaSchool of Microbiology and APC Microbiome Ireland, University College Cork, Ireland.
Tarini S GhoshSchool of Microbiology and APC Microbiome Ireland, University College Cork, Ireland.
Klaus NeuhausZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.
Harald GrallertHelmholtz Zentrum München and German Diabetes Center (DDZ), Ingolstaedter Landstr. 1, 85764 Oberschleißheim.
Jakob LinseisenHelmholtz Zentrum München and German Diabetes Center (DDZ), Ingolstaedter Landstr. 1, 85764 Oberschleißheim; Chair of Epidemiology, Ludwig-Maximilians University, UNIKA-T Augsburg, Neusässer Str. 47, 86156 Augsburg, Germany.
Thomas SkurkZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.
Beate BrandlZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.
Taylor A BreuningerHelmholtz Zentrum München and German Diabetes Center (DDZ), Ingolstaedter Landstr. 1, 85764 Oberschleißheim.
Martina TrollHelmholtz Zentrum München and German Diabetes Center (DDZ), Ingolstaedter Landstr. 1, 85764 Oberschleißheim.
Wolfgang RathmannGerman Diabetes Center (DDZ) and German Center for Diabetes Research (DZD e.V.), Auf'm Hennekamp 65, 40225 Dusseldorf, Germany.
Birgit LinkohrHelmholtz Zentrum München and German Diabetes Center (DDZ), Ingolstaedter Landstr. 1, 85764 Oberschleißheim.
Hans HaunerZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany; Institute of Nutritional Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992 Munich, Germany.
Matthias LaudesInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Rosalind-Franklin-Straße 12, 24105 Kiel, Germany; Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Medicine, University of Kiel, 24105 Kiel, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Rosalind-Franklin-Straße 12, 24105 Kiel, Germany.
Caroline I Le RoyDepartment of Twin Research & Genetic Epidemiology, King's College London, Strand, London WC2R 2LS, UK.
Jordana T BellDepartment of Twin Research & Genetic Epidemiology, King's College London, Strand, London WC2R 2LS, UK.
Tim SpectorDepartment of Twin Research & Genetic Epidemiology, King's College London, Strand, London WC2R 2LS, UK.
Jan BaumbachChair of Experimental Bioinformatics, Technical University of Munich, Maximus-von-Imhof-Forum 3, 85354 Freising, Germany.
Paul W O'TooleSchool of Microbiology and APC Microbiome Ireland, University College Cork, Ireland.
Annette PetersHelmholtz Zentrum München and German Diabetes Center (DDZ), Ingolstaedter Landstr. 1, 85764 Oberschleißheim; Chair of Epidemiology, Ludwig-Maximilians University, Marchioninistr. 15, 81377 Munich, Germany.
Dirk HallerZIEL - Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany; Chair of Nutrition and Immunology, Technical University of Munich, Gregor-Mendel-Str. 2, 85354 Freising, Germany. Electronic address: dirk.haller@tum.de.
Technical University of Munich · DELeibniz-Institute for Food Systems Biology at the Technical University of Munich · DEDeutsches Diabetes-Zentrum e.V. · DEHelmholtz Zentrum München · DEKing's College London · GBAPC Microbiome Institute · IEChristian-Albrechts-Universität zu Kiel · DELudwig-Maximilians-Universität München · DEUniversity College Cork · IE

Funding

Medical Research Council MR/N030125/1
6 · The paper itself

Abstract

Lifestyle, obesity, and the gut microbiome are important risk factors for metabolic disorders. We demonstrate in 1,976 subjects of a German population cohort (KORA) that specific microbiota members show 24-h oscillations in their relative abundance and identified 13 taxa with disrupted rhythmicity in type 2 diabetes (T2D). Cross-validated prediction models based on this signature similarly classified T2D. In an independent cohort (FoCus), disruption of microbial oscillation and the model for T2D classification was confirmed in 1,363 subjects. This arrhythmic risk signature was able to predict T2D in 699 KORA subjects 5 years after initial sampling, being most effective in combination with BMI. Shotgun metagenomic analysis functionally linked 26 metabolic pathways to the diurnal oscillation of gut bacteria. Thus, a cohort-specific risk pattern of arrhythmic taxa enables classification and prediction of T2D, suggesting a functional link between circadian rhythms and the microbiome in metabolic diseases.

Indexed as

BacteriaCircadian ClocksCircadian RhythmDiabetes Mellitus, Type 2FecesGastrointestinal MicrobiomeGermanyHumansMetagenomeMetagenomicsObesityamplicon sequencingcircadian rhythmsdiurnal oscillationshuman intestinal microbiotamachine learningmetagenomicsobesitypopulation-based cohortspredictiontype 2 diabetes

Identifiers

PMID32619440
OpenAlexW3039530833

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.