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Record W2790025457 · doi:10.1093/jcag/gwy008.288

A287 PHYSICAL ACTIVITY AS A MODULATOR OF INTESTINAL MICROBIOTA, IMMUNE RESPONSES, AND SHORT-CHAIN FATTY ACIDS PRODUCTION

2018· article· en· W2790025457 on OpenAlexaff
Mehrbod Estaki, Jason Pither, Peter Baumeister, Jonathan P. Little, SK Gill, Sanjoy Ghosh, Katelyn R. Marsden, D L Gibson

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
Fundersnot available
KeywordsLachnospiraceaeRoseburiaBiologyFirmicutesGut floraButyrateBacteroidetesMicrobiomeDysbiosisMicrobiologyBacteroidesImmunologyPhysiologyBacteriaGeneticsFood science

Abstract

fetched live from OpenAlex

The trillions of bacteria residing along the mammalian intestine, referred to as the gut’s microbiome, are integral in various physiological function of their host. Disruptions in these communities, or dysbiosis, are implicated in various illnesses such as inflammatory bowel disease and colorectal cancer. Many factors such as diet, method of birth, and environmental exposures are known to influence the intestinal microbiota, however the role of physical activity (PA) remains unclear. A) To explore the relationship between cardiorespiratory fitness (CRF) and gut microbiota in humans and; B) confirm causation between PA and the microbiota using a mouse model of PA A) Using high-throughput DNA sequencing, we compared fecal microbiota of 39 individuals with varying CRF level as determined by peak oxygen uptake test (VO2peak). Fecal short-chain fatty acids (SCFA) were analysed using GC. B) Female C57BL/6 mice were randomly categorized into voluntary wheel running (VWR), or sedentary (SED) group (n=8). Intestinal bacterial community, morphology, and gene expression of various cytokines was analyzed after 7 weeks. A) VO2peak in humans was significantly correlated with increased microbial biodiversity and distinct metagenomic functions. The microbial profiles of fit individuals were associated with increased production of buryate, a SCFA known for its anti-inflammatory properties, through increased abundances of key butyrate-producing taxa: Clostridiales, Roseburia, Lachnospiraceae, and Erysipelotrichaceae. B) VWR mice gained weight at a significantly higher rate than SED group, absent changes in their food intake. Firmicutes phyla was significantly higher (29.0%, p<0.05) in VWR mice while Bacteroidetes was higher (260%, p<0.05) among SED mice. VWR had a higher Firmicutes to Bacteroidetes ratio, previously associated with increased energy harvest and weight gain. Histological analysis revealed no group differences in the number of goblet cells, crypt lengths, or total muscularis externa. A significance 2.1 and 1.9 fold increases in gene expression of the cytokines TGFβ and TNFα, respectively, was observed among the SED mice suggesting immunogenic differences induced by PA. VO2peak in humans was correlated with increased microbial diversity and production of butyrate through increases in several key butyrate-producing taxa. Further, wheel running in mice increased the Firmicutes to Bacteroidetes phyla ratio, likely leading to increased energy harvest and weight gain without changes in food intake. Wheel running was also associated with suppressed gene expression of the pro-inflammatory cytokine TNFα, and TGFβ, a marker of cell proliferation, suggesting an overall healthier gut among physically active mice. CCCNSERC

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.248
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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