Evidence map›Paper›PMID 31399369›Full record

ArticleCell host & microbe2019

Obese Individuals with and without Type 2 Diabetes Show Different Gut Microbial Functional Capacity and Composition.

Louise B Thingholm, Malte C Rühlemann, Manja Koch, Brie Fuqua, Guido Laucke, Ruwen Boehm, Corinna Bang, Eric A Franzosa, Matthias Hübenthal, Ali Rahnavard and 15 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell host & microbe, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed, 3 pooled it
18.6field-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

261 citing papers in PubMed, 3 syntheses or guidelines pooled it, 459 citations in OpenAlex.

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201 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 10 institutions in 3 countries.

Louise B ThingholmInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany.
Malte C RühlemannInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany.
Manja KochDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Brie FuquaDepartment of Medicine, University of California, Los Angeles, CA 90095, USA.
Guido LauckeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany.
Ruwen BoehmInstitute of Experimental and Clinical Pharmacology, University Hospital Schleswig-Holstein, 24105 Kiel, Germany.
Corinna BangInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany.
Eric A FranzosaBiostatistics Department, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; The Broad Institute of MIT and Harvard, Cambridge, MA 02115, USA.
Matthias HübenthalInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany; Department of Dermatology, Venereology and Allergy, University Hospital, Schleswig-Holstein, 24105 Kiel, Germany.
Ali RahnavardBiostatistics Department, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; The Broad Institute of MIT and Harvard, Cambridge, MA 02115, USA.
Fabian FrostDepartment of Medicine A, University Medicine Greifswald, 17475 Greifswald, Germany.
Jason Lloyd-PriceBiostatistics Department, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; The Broad Institute of MIT and Harvard, Cambridge, MA 02115, USA.
Melanie SchirmerBiostatistics Department, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; The Broad Institute of MIT and Harvard, Cambridge, MA 02115, USA.
Aldons J LusisDepartment of Medicine, University of California, Los Angeles, CA 90095, USA.
Chris D VulpeCollege of Veterinary Medicine, University of Florida, Gainesville, FL 32610, USA.
Markus M LerchDepartment of Medicine A, University Medicine Greifswald, 17475 Greifswald, Germany.
Georg HomuthDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany.
Tim KacprowskiDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany; Research Group on Computational Systems Medicine, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Weihenstephan, Technical University of Munich, Freising-Weihenstephan 85354, Germany.
Carsten O SchmidtInstitute for Community Medicine SHIP-KEF, University Medicine Greifswald, Greifswald 17475, Germany.
Ute NöthlingsDepartment of Nutrition and Food Sciences, Nutritional Epidemiology, Rheinische Friedrich-Wilhelms-Universität Bonn, 53115 Bonn, Germany.
Tom H KarlsenNorwegian PSC Research Center, Department of Transplantation Medicine and Research Institute of Internal Medicine, Division of Surgery, Inflammatory Medicine and Transplantation, Oslo University Hospital, Rikshospitalet, 0372 Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway.
Wolfgang LiebInstitute of Epidemiology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany.
Matthias LaudesDepartment of Internal Medicine I, University Hospital Schleswig-Holstein, 24105 Kiel, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, 24105 Kiel, Germany. Electronic address: a.franke@mucosa.de.
Curtis HuttenhowerBiostatistics Department, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; The Broad Institute of MIT and Harvard, Cambridge, MA 02115, USA.
Kiel University · DEBroad Institute · USUniversitätsmedizin Greifswald · DEUniversity Hospital Schleswig-Holstein · DEHarvard University · USUniversity of California, Los Angeles · USTechnical University of Munich · DEUniversity of Bonn · DEUniversity of Florida · USUniversity of Oslo · NO

Funding

Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 1985 to 2019
$50.2M
A comprehensive platform for novel therapy development from the microbiomeR24DK110499 · NIDDK · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS · 2017 to 2021
$7.7M
Vascular Biology Training GrantT32HL069766 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2002 to 2022
$7.4M
An integrated molecular approach to understand variation in iron metabolismR01GM083198 · NIGMS · UNIVERSITY OF FLORIDA · PI VULPE, CHRISTOPHER D · 2012 to 2015
$2.7M
Gut microbiota and metabolite interactions in atherosclerosisR01HL144651 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE, REY, FEDERICO E · 2019 to 2022
$2.6M
NHLBI NIH HHS P01 HL028481NHLBI NIH HHS R01 HL144651NHLBI NIH HHS T32 HL069766NIDDK NIH HHS R24 DK110499NIGMS NIH HHS R01 GM083198
6 · The paper itself

Abstract

Obesity and type 2 diabetes (T2D) are metabolic disorders that are linked to microbiome alterations. However, their co-occurrence poses challenges in disentangling microbial features unique to each condition. We analyzed gut microbiomes of lean non-diabetic (n = 633), obese non-diabetic (n = 494), and obese individuals with T2D (n = 153) from German population and metabolic disease cohorts. Microbial taxonomic and functional profiles were analyzed along with medical histories, serum metabolomics, biometrics, and dietary data. Obesity was associated with alterations in microbiome composition, individual taxa, and functions with notable changes in Akkermansia, Faecalibacterium, Oscillibacter, and Alistipes, as well as in serum metabolites that correlated with gut microbial patterns. However, microbiome associations were modest for T2D, with nominal increases in Escherichia/Shigella. Medications, including antihypertensives and antidiabetics, along with dietary supplements including iron, were significantly associated with microbiome variation. These results differentiate microbial components of these interrelated metabolic diseases and identify dietary and medication exposures to consider in future studies.

Indexed as

AnimalsBacteriaBiodiversityDiabetes Mellitus, Type 2DietDietary SupplementsFecesFemaleGastrointestinal MicrobiomeGermanyHumansIronMagnesiumMaleMetabolic DiseasesMetagenomicsIronMagnesiumdietary supplementsironmagnesiummedicationmetabolic diseasemicrobiomenutritionobesitytype 2 diabetes

Identifiers

PMID31399369
PMCPMC7720933
OpenAlexW2964698358

What OpenQuestion holds

Textmetadata
LicenceTDM
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.