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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.947
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
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