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Record W3179841777 · doi:10.11575/prism/38855

Characterization of Bacterial Depletion and Colitis-Associated Changes in the Gut Microbiota on Behaviour and Intestinal Physiology

2021· dissertation· en· W3179841777 on OpenAlexfundno aff
Fernando Vicentini

Bibliographic record

VenuePRISM (University of Calgary) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
FundersCrohn's and Colitis CanadaCanadian Institutes of Health ResearchConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsGut floraBiologyGut–brain axisMicrobiologyPhysiologyImmunology

Abstract

fetched live from OpenAlex

The role of the microbiota in modulating host physiology is now widely accepted. Acting via the microbiota-gut-brain (MGB) axis, intestinal bacteria have been associated with the regulation of gastrointestinal tract and the central nervous system function, in both physiological and pathophysiological conditions, such as in inflammatory bowel disease (IBD). Patients with IBD have an increased incidence of anxiety and depression, which is accompanied by alterations in the microbiota composition. However, the link between changes in microbiota composition and behavioural abnormalities in the context of intestinal inflammation is unknown. Mechanisms that mediate the MGB axis in homeostasis have emerged but are still incomplete. We sought to characterize the effects of bacterial depletion on intestinal physiology and animal behaviour, and the role of colitis-associated microbiota in the modulation of behavioural abnormalities. Using mouse models of bacterial depletion (antibiotic treatment) and colitis (administration of dextran sulfate sodium), we investigated the role of the microbiota in intestinal physiology and behavioural outputs, and the potential mechanisms of these interactions. The major findings were: (1) bacterial depletion induced a reduction in despair behaviour in a sex-specific manner. The altered behaviour observed in male mice was normalized by activation of the Aryl hydrocarbon receptor, suggesting that this receptor is involved in modulation of behaviour via host-microbe interactions. (2) Bacterial depletion was linked to sex-independent changes in intestinal physiology, including reduced motility, altered secretion, and increased permeability. These changes were accompanied by a reduction in the numbers of enteric neurons, suggesting that microbiota influences the enteric nervous system integrity. Administration of bacterial-derived molecules, lipopolysaccharide and short-chain fatty acids, was associated with neuronal survival and neurogenesis, respectively. (3) Colitis induced changes in the intestinal bacteria composition, which was associated with behavioural abnormalities. Microbiota transfer of colitis-associated microbiota into recipient healthy mice was sufficient to induce behavioural alterations. Remarkably, no intestinal or neuroinflammation were observed in recipient mice. Collectively, these findings provide support to expand our understanding of the MGB axis under homeostatic and intestinal inflammatory conditions. Thus, a better understanding of this integrated network provides a rationale for the development of microbiota-centred therapeutic approaches for the improvement of health.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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 designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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