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Record W1831670608 · doi:10.1128/iai.00201-15

Vitamin A-Deficient Hosts Become Nonsymptomatic Reservoirs of Escherichia coli-Like Enteric Infections

2015· article· en· W1831670608 on OpenAlexaff
Kaitlin McDaniel, Katherine H. Restori, Jeffery W. Dodds, Mary J. Kennett, A. Catharine Ross, Margherita T. Cantorna

Bibliographic record

VenueInfection and Immunity · 2015
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsMcGill University Health CentreMontreal General Hospital
FundersNational Institute of Neurological Disorders and StrokeNational Center for Complementary and Integrative HealthNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of Allergy and Infectious Diseases
KeywordsCitrobacter rodentiumBiologyEscherichia coli infectionInflammationMicrobiologyImmunologyVitamin A deficiencyEscherichia coliVitaminClearanceEnterobacteriaceaeChronic infectionImmune systemRetinolMedicineGene

Abstract

fetched live from OpenAlex

Vitamin A deficiency (A(-)) remains a public health concern in developing countries and is associated with increased susceptibility to infection. Citrobacter rodentium was used to model human Escherichia coli infections. A(-) mice developed a severe and lethal (40%) infection. Vitamin A-sufficient (A(+)) mice survived and cleared the infection by day 25. Retinoic acid treatment of A(-) mice at the peak of the infection eliminated C. rodentium within 16 days. Inflammation levels were not different between A(+) and A(-) mouse colons, although the A(-) mice were still infected at day 37. Increased mortality of A(-) mice was not due to systemic cytokine production, an inability to clear systemic C. rodentium, or increased pathogenicity. Instead, A(-) mice developed a severe gut infection with most of the A(-) mice surviving and resolving inflammation but not eliminating the infection. Improvements in vitamin A status might decrease susceptibility to enteric pathogens and prevent potential carriers from spreading infection to susceptible populations.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.032
GPT teacher head0.295
Teacher spread0.263 · 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 teacher head, 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

Citations42
Published2015
Admission routes1
Has abstractyes

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