Evidence map›Paper›PMID 33833357›Full record

ArticleScientific reports2021

Comparison of Argentinean microbiota with other geographical populations reveals different taxonomic and functional signatures associated with obesity.

Susana A Pesoa, Nestor Portela, Eduardo Fernández, Osvaldo Elbarcha, Martin Gotteland, Fabien Magne

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 19 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

6 authors at 1 institution in 1 country.

Susana A PesoaDepartment of Molecular Diagnosis, LACE Laboratories, Avda Velez Sarsfield 528, Córdoba, Argentina. susana.pesoa@laboratoriolace.com.ar.
Nestor PortelaDepartment of Molecular Diagnosis, LACE Laboratories, Avda Velez Sarsfield 528, Córdoba, Argentina.
Eduardo FernándezDepartment of Molecular Diagnosis, LACE Laboratories, Avda Velez Sarsfield 528, Córdoba, Argentina.
Osvaldo ElbarchaDepartment of Molecular Diagnosis, LACE Laboratories, Avda Velez Sarsfield 528, Córdoba, Argentina.
Martin GottelandDepartment of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile.
Fabien MagneMicrobiology and Mycology Program, Biomedical Sciences Institute (ICBM), School of Medicine, University of Chile, Av. Independencia 1027, Independencia, Santiago, Chile. fabienmagne@med.uchile.cl.
University of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence suggests that various genetic and environmental factors contribute to the development of obesity. Among the latter, the gut microbiota has emerged as a critical player in the regulation of human metabolism and health and the development of non-communicable chronic diseases. Considering that no information on this matter is available in Argentina, our aim was to identify the microorganisms associated with obesity as well as their potential functionality. Using high throughput sequencing of 16SrRNA bacterial gene and diverse bioinformatics tools, we observed that the gut microbiota of obese and overweight individuals differs qualitatively and quantitatively from that from their lean counterparts. The comparison of the gut microbiota composition in obese subjects from Argentina, US and UK showed that the beta diversity significantly differs among the three countries, indicating that obesity-associated microbiota composition changes according to the geographical origin of the individuals. Moreover, four distinct microbiotypes were identified in obese individuals, whose prevalence and metabolic pathway signature differed according to the country, indicating that obesity associated dysbiosis would comprise several structures. In summary, identification of distinct taxonomic signatures associated with obesity might be a novel promising tool to stratify patients based on their microbiome configuration to design strategies for managing obesity.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAdultArgentinaFemaleHumansMaleMiddle AgedObesity

Identifiers

PMID33833357
PMCPMC8032766
OpenAlexW3142551583

What OpenQuestion holds

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Registered trials

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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.