Evidence map›Paper›PMID 37699401›Full record

ArticleDiabetes2023

A Fecal Metabolite Signature of Impaired Fasting Glucose: Results From Two Independent Population-Based Cohorts.

Ana Nogal, Francesca Tettamanzi, Qiuling Dong, Panayiotis Louca, Alessia Visconti, Colette Christiansen, Taylor Breuninger, Jakob Linseisen, Harald Grallert, Nina Wawro and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

24 authors at 8 institutions in 5 countries.

Ana NogalDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Francesca TettamanziDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Qiuling DongInstitute of Epidemiology, Helmholtz Zentrum München, Research Unit of Molecular Epidemiology, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Panayiotis LoucaDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Alessia ViscontiDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Colette ChristiansenDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Taylor BreuningerEpidemiology, University Hospital Augsburg, University of Augsburg, Augsburg, Germany.
Jakob LinseisenEpidemiology, University Hospital Augsburg, University of Augsburg, Augsburg, Germany.
Harald GrallertInstitute of Epidemiology, Helmholtz Zentrum München, Research Unit of Molecular Epidemiology, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Nina WawroEpidemiology, University Hospital Augsburg, University of Augsburg, Augsburg, Germany.
Francesco AsnicarDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Kari WongMetabolon, Morrisville, NC.
Andrei-Florin BaleanuDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Gregory A MichelottiMetabolon, Morrisville, NC.
Nicola SegataDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Mario FalchiDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Annette PetersGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
Paul W FranksLund University Diabetes Center, Lund University, Malmö, Sweden.
Vincenzo BagnardiDepartment of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.
Tim D SpectorDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Jordana T BellDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.
Christian GiegerInstitute of Epidemiology, Helmholtz Zentrum München, Research Unit of Molecular Epidemiology, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Ana M ValdesAcademic Rheumatology Clinical Sciences Building, Nottingham City Hospital, University of Nottingham, U.K.ORCID 0000-0003-1141-4471
Cristina MenniDepartment of Twin Research, King's College London, St Thomas' Hospital Campus, London, U.K.ORCID 0000-0001-9790-0571
St Thomas' Hospital · GBHelmholtz Zentrum München · DEUniversity of Augsburg · DENorth Carolina Institute of Medicine · USUniversity of Trento · ITLund University · SENottingham City Hospital · GBUniversity of Milano-Bicocca · IT

Funding

Medical Research Council MR/N030125/1Medical Research Council MR/W026813/1Medical Research Council MR/Y010175/1Wellcome TrustWellcome Trust 212904/Z/18/Z
6 · The paper itself

Abstract

Prediabetes is a metabolic condition associated with gut microbiome composition, although mechanisms remain elusive. We searched for fecal metabolites, a readout of gut microbiome function, associated with impaired fasting glucose (IFG) in 142 individuals with IFG and 1,105 healthy individuals from the UK Adult Twin Registry (TwinsUK). We used the Cooperative Health Research in the Region of Augsburg (KORA) cohort (318 IFG individuals, 689 healthy individuals) to replicate our findings. We linearly combined eight IFG-positively associated metabolites (1-methylxantine, nicotinate, glucuronate, uridine, cholesterol, serine, caffeine, and protoporphyrin IX) into an IFG-metabolite score, which was significantly associated with higher odds ratios (ORs) for IFG (TwinsUK: OR 3.9 [95% CI 3.02-5.02], P < 0.0001, KORA: OR 1.3 [95% CI 1.16-1.52], P < 0.0001) and incident type 2 diabetes (T2D; TwinsUK: hazard ratio 4 [95% CI 1.97-8], P = 0.0002). Although these are host-produced metabolites, we found that the gut microbiome is strongly associated with their fecal levels (area under the curve >70%). Abundances of Faecalibacillus intestinalis, Dorea formicigenerans, Ruminococcus torques, and Dorea sp. AF24-7LB were positively associated with IFG, and such associations were partially mediated by 1-methylxanthine and nicotinate (variance accounted for mean 14.4% [SD 5.1], P < 0.05). Our results suggest that the gut microbiome is linked to prediabetes not only via the production of microbial metabolites but also by affecting intestinal absorption/excretion of host-produced metabolites and xenobiotics, which are correlated with the risk of IFG. Fecal metabolites enable modeling of another mechanism of gut microbiome effect on prediabetes and T2D onset. ARTICLE HIGHLIGHTS: Prediabetes is a metabolic condition associated with gut microbiome composition, although mechanisms remain elusive. We investigated whether there is a fecal metabolite signature of impaired fasting glucose (IFG) and the possible underlying mechanisms of action. We identified a fecal metabolite signature of IFG associated with prevalent IFG in two independent cohorts and incident type 2 diabetes in a subanalysis. Although the signature consists of metabolites of nonmicrobial origin, it is strongly correlated with gut microbiome composition. Fecal metabolites enable modeling of another mechanism of gut microbiome effect on prediabetes by affecting intestinal absorption or excretion of host compounds and xenobiotics.

Indexed as

Diabetes Mellitus, Type 2NiacinPrediabetic StateAdultBlood GlucoseFastingGlucoseHumansBlood GlucoseGlucoseNiacin

Identifiers

PMID37699401
PMCPMC10658071
OpenAlexW4386630294

What OpenQuestion holds

Texttitle and abstract
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.