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Record W2032378902 · doi:10.4161/gmic.2.2.15610

A comparative analysis of the effect of antibiotic treatment and enteric infection on intestinal homeostasis

2011· review· en· W2032378902 on OpenAlexafffund
L. Caetano M. Antunes, B. Brett Finlay

Bibliographic record

VenueGut Microbes · 2011
Typereview
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
FundersCanadian Institutes of Health ResearchHoward Hughes Medical Institute
KeywordsMetabolomeBiologyAntibioticsHomeostasisGut floraMicrobiologyHormoneSalmonellaCommensalismImmunologyMetabolomicsBacteriaBioinformaticsEndocrinology

Abstract

fetched live from OpenAlex

The intestinal metabolome is a rich collection of molecules with specialized functions and important physiological effects. Many insults such as enteric infection and microbiota disruption by antibiotics can have profound effects in the metabolic homeostasis of the gut. We have recently shown that Salmonella infection and antibiotic treatment of mice drastically alter the intestinal metabolome. Particularly, host hormone metabolism was significantly altered by both insults. Infection resulted in a net increase in the production of both steroids and eicosanoids, whereas antibiotic treatment seemed to reduce the production of these hormones. Our results suggest that both intestinal pathogens and commensals affect common metabolic functions and that this phenomenon may have implications for the interactions between microbes and their hosts.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.053
GPT teacher head0.350
Teacher spread0.297 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations36
Published2011
Admission routes2
Has abstractyes

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