Evidence map›Paper›PMID 28797298›Full record

ArticleMicrobiome2017

Community characteristics of the gut microbiomes of competitive cyclists.

Lauren M Petersen, Eddy J Bautista, Hoan Nguyen, Blake M Hanson, Lei Chen, Sai H Lek, Erica Sodergren, George M Weinstock

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
220citing papers in PubMed, 10 pooled it
9.5field-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

220 citing papers in PubMed, 10 syntheses or guidelines pooled it, 384 citations in OpenAlex.

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  3. Roles of the gut microbiome in weight management.Nature reviews. Microbiology · 2023
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  5. Effect of Intensity and Duration of Exercise on Gut Microbiota in Humans: A Systematic Review.International journal of environmental research and public health · 2022
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  14. Eight Weeks ofNutrients · 2023
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  17. Effect ofNutrients · 2019
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160 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 2 countries.

Lauren M PetersenThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA. Lauren.Petersen@jax.org.
Eddy J BautistaCorporación Colombiana de Investigación Agropecuaria, Km 14 Vía Mosquera-Bogotá, Mosquera, Cundinamarca, Colombia.
Hoan NguyenThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
Blake M HansonThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
Lei ChenThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
Sai H LekThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
Erica SodergrenThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
George M WeinstockThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
Jackson Laboratory · USColombian Corporation for Agricultural Research - AGROSAVIA · CO

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Jeffrey Hsu-Min Chuang · 1985 to 2026
$61.9M
Sequencing the Human MicrobiomeU54HG004968 · NHGRI · WASHINGTON UNIVERSITY · PI WEINSTOCK, GEORGE M · 2009 to 2012
$16.7M
Longitudinal Multiomics Microbial Profiling in Healthy and Disease IndividualsU54DE023789 · NIDCR · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P., WEINSTOCK, GEORGE M · 2013 to 2014
$3.0M
NCI NIH HHS P30 CA034196NHGRI NIH HHS U54 HG004968NIDCR NIH HHS U54 DE023789
6 · The paper itself

Abstract

backgroundChanges in diet and exercise can alter the gut microbiome of humans and mice; however, few studies to date have assessed the microbiomes of highly fit athletes. In this pilot study, we used metagenomic whole genome shotgun (mWGS) and metatranscriptomic (RNA-Seq) sequencing to show what organisms are both present and active in the gut microbiomes of both professional and amateur level competitive cyclists and to determine if any significant differences exist between these two groups.

resultsUsing mWGS sequencing data, we showed that the gut microbiomes of 33 cyclists split into three taxonomic clusters, characterized by either high Prevotella, high Bacteroides or a mix of many genera including Bacteroides, Prevotella, Eubacterium, Ruminococcus, and Akkermansia. While no significant correlations could be found between taxonomic cluster and being either a professional or amateur level cyclist, high abundance of the genus Prevotella (≥2.5%) was significantly correlated with time reported exercising during an average week. Increased abundance of Prevotella was correlated with a number of amino acid and carbohydrate metabolism pathways, including branched chain amino acid metabolism. Further analysis of the metatranscriptome revealed significant taxonomic differences when compared to the metagenome. There was increased abundance of Methanobrevibacter smithii transcripts in a number of professional cyclists in comparison to amateur cyclists and this archaeon had upregulation of genes involved in the production of methane. Furthermore, when methane metabolism was upregulated, there was similar upregulation of energy and carbohydrate metabolism pathways.

conclusionsThese results provide a framework for common constituents of the gut community in individuals who follow an exercise-rich lifestyle. These data also suggest how certain organisms such as M. smithii may beneficially influence the metabolic efficiency of the gut community in professional cyclists due to synergistic metabolic cross-feeding events.

Indexed as

AthletesBicyclingGastrointestinal MicrobiomeAdultBacteriaBacteroidesCarbohydrate MetabolismDietExerciseFecesFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLife StyleMaleMethaneAthletesCyclistsExerciseGut microbiomeMetagenomicsMetatranscriptomicsMicrobiota

Identifiers

PMID28797298
PMCPMC5553673
OpenAlexW2742604496

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.