Evidence map›Paper›PMID 33488518›Full record

ArticleFrontiers in endocrinology2020

Progressive Shifts in the Gut Microbiome Reflect Prediabetes and Diabetes Development in a Treatment-Naive Mexican Cohort.

Christian Diener, María de Lourdes Reyes-Escogido, Lilia M Jimenez-Ceja, Mariana Matus, Claudia M Gomez-Navarro, Nathaniel D Chu, Vivian Zhong, M Elizabeth Tejero, Eric Alm, Osbaldo Resendis-Antonio and 1 more

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In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
3.0field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  5. Mapping systemic inter-organ metabolic networks across glycemic continuum using whole-body [European journal of nuclear medicine and molecular imaging · 2026
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  13. Unravelling the Microbiome's Role in Healing Diabetic Wounds.Current pharmaceutical biotechnology · 2025
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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

11 authors at 3 institutions in 2 countries.

Christian DienerComputational Genomics, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
María de Lourdes Reyes-EscogidoMetabolic Research Laboratory, Department of Medicine and Nutrition, University of Guanajuato, León, Mexico.
Lilia M Jimenez-CejaMetabolic Research Laboratory, Department of Medicine and Nutrition, University of Guanajuato, León, Mexico.
Mariana MatusCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, United States.
Claudia M Gomez-NavarroMetabolic Research Laboratory, Department of Medicine and Nutrition, University of Guanajuato, León, Mexico.
Nathaniel D ChuCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, United States.
Vivian ZhongCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, United States.
M Elizabeth TejeroComputational Genomics, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
Eric AlmCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, United States.
Osbaldo Resendis-AntonioComputational Genomics, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
Rodolfo Guardado-MendozaMetabolic Research Laboratory, Department of Medicine and Nutrition, University of Guanajuato, León, Mexico.
Massachusetts Institute of Technology · USUniversidad de Guanajuato · MXNational Institute of Genomic Medicine · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a global epidemic that affects more than 8% of the world's population and is a leading cause of death in Mexico. Diet and lifestyle are known to contribute to the onset of T2D. However, the role of the gut microbiome in T2D progression remains uncertain. Associations between microbiome composition and diabetes are confounded by medication use, diet, and obesity. Here we present data on a treatment-naive cohort of 405 Mexican individuals across varying stages of T2D severity. Associations between gut bacteria and more than 200 clinical variables revealed a defined set of bacterial genera that were consistent biomarkers of T2D prevalence and risk. Specifically, gradual increases in blood glucose levels, beta cell dysfunction, and the accumulation of measured T2D risk factors were correlated with the relative abundances of four bacterial genera. In a cohort of 25 individuals, T2D treatment-predominantly metformin-reliably returned the microbiome to the normoglycemic community state. Deep clinical characterization allowed us to broadly control for confounding variables, indicating that these microbiome patterns were independent of common T2D comorbidities, like obesity or cardiovascular disease. Our work provides the first solid evidence for a direct link between the gut microbiome and T2D in a critically high-risk population. In particular, we show that increased T2D risk is reflected in gradual changes in the gut microbiome. Whether or not these T2D-associated changes in the gut contribute to the etiology of T2D or its comorbidities remains to be seen.

Indexed as

Gastrointestinal MicrobiomeBacteriaCase-Control StudiesCohort StudiesDiabetes Mellitus, Type 2FecesHumansHypoglycemic AgentsLife StyleMetforminMexicoPrediabetic StateRisk FactorsHypoglycemic AgentsMetformindeep phenotypingmetforminMexicomicrobiometype 2 diabetes

Identifiers

PMID33488518
PMCPMC7821428
OpenAlexW3118966073

What OpenQuestion holds

Textfull text, public
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.