Evidence map›Paper›PMID 38104165›Full record

ArticleScientific reports2023

Functional alterations and predictive capacity of gut microbiome in type 2 diabetes.

Nihar Ranjan Dash, Mohammad T Al Bataineh, Rohia Alili, Habiba Al Safar, Noura Alkhayyal, Edi Prifti, Jean-Daniel Zucker, Eugeni Belda, Karine Clément

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  14. The Role of the Gut Microbiome in Type 2 Diabetes Mellitus.International journal of molecular sciences · 2025
    Review
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  20. [Rifaximin curative effect and mechanism on monocrotaline-induced hepatic sinusoidal obstruction syndrome in mice].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
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

9 authors at 7 institutions in 2 countries.

Nihar Ranjan Dash *Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Mohammad T Al Bataineh *Department of Genetics and Molecular Biology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, PO Box: 127788, Abu Dhabi, United Arab Emirates. mohammad.bataineh@ku.ac.ae.
Rohia AliliINSERM, Nutrition and obesities: systemics approaches (NutriOmics), Sorbonne University, Paris, France.
Habiba Al SafarCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, UAE.
Noura AlkhayyalUniversity Hospital Sharjah, Sharjah, United Arab Emirates.
Edi PriftiINSERM, Nutrition and obesities: systemics approaches (NutriOmics), Sorbonne University, Paris, France.
Jean-Daniel ZuckerINSERM, Nutrition and obesities: systemics approaches (NutriOmics), Sorbonne University, Paris, France.
Eugeni BeldaINSERM, Nutrition and obesities: systemics approaches (NutriOmics), Sorbonne University, Paris, France.
Karine ClémentINSERM, Nutrition and obesities: systemics approaches (NutriOmics), Sorbonne University, Paris, France. karine.clement@inserm.fr.
Khalifa University of Science and Technology · AEUniversity of Sharjah · AEInserm · FRInstitut de Recherche pour le Développement · FRNutrition et obésité : approches systémiques · FRSorbonne Université · FRUnité de Modélisation Mathématique et Informatique des Systèmes Complexes · FR

Funding

Sorbonne Université 17CVD01
6 · The paper itself

Abstract

The gut microbiome plays a significant role in the development of Type 2 Diabetes Mellitus (T2DM), but the functional mechanisms behind this association merit deeper investigation. Here, we used the nanopore sequencing technology for metagenomic analyses to compare the gut microbiome of individuals with T2DM from the United Arab Emirates (n = 40) with that of control (n = 44). DMM enterotyping of the cohort resulted concordantly with previous results, in three dominant groups Bacteroides (K1), Firmicutes (K2), and Prevotella (K3) lineages. The diversity analysis revealed a high level of diversity in the Firmicutes group (K2) both in terms of species richness and evenness (Wilcoxon rank-sum test, p value < 0.05 vs. K1 and K3 groups), consistent with the Ruminococcus enterotype described in Western populations. Additionally, functional enrichment analyses of KEGG modules showed significant differences in abundance between individuals with T2DM and controls (FDR < 0.05). These differences include modules associated with the degradation of amino acids, such as arginine, the degradation of urea as well as those associated with homoacetogenesis. Prediction analysis with the Predomics approach suggested potential biomarkers for T2DM, including a balance between a depletion of Enterococcus faecium and Blautia lineages with an enrichment of Absiella spp or Eubacterium limosum in T2DM individuals, highlighting the potential of metagenomic analysis in predicting predisposition to diabetic cardiomyopathy in T2DM patients.

Indexed as

Diabetes Mellitus, Type 2Diabetic CardiomyopathiesGastrointestinal MicrobiomeBacillotaHumansMetagenome

Identifiers

PMID38104165
PMCPMC10725451
OpenAlexW4389829186

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.