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Estrogen and progesterone do not mediate the attenuated febrile response to E. coli LPS in rats near the term of pregnancy

2013· article· en· W3173083457 on OpenAlexaff
Caitlin R Finley, James E. Fewell

Bibliographic record

VenueThe FASEB Journal · 2013
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPregnancyInternal medicineEndocrinologyEstrogenBasal (medicine)HormoneLipopolysaccharideMedicineCore (optical fiber)ChemistryBiology

Abstract

fetched live from OpenAlex

The febrile response to LPS is attenuated in rats near the term of pregnancy at a time when plasma concentrations of estrogen (E) and progesterone (P) are elevated. In an attempt to clarify mechanisms, the present experiments were carried out on chronically‐instrumented, conscious rats to test the hypothesis that elevated plasma concentrations of E and P similar to that observed near the term of pregnancy would attenuate the febrile response to LPS in non pregnant rats (NP). NP and oophorectimized rats received intraperitoneal vehicle (V) or E, P, E+P over 3.5 days in amounts sufficient to produce plasma concentrations observed near the term of pregnancy. Core temperature was recorded via radio telemetry. Hormone treatment did not alter basal core temperatures nor the core temperature responses to an EC 50 dose of E. coli LPS. Thus, our data do not support the hypothesis that elevated plasma concentrations of E & P mediate the attenuated core temperature responses to LPS in rats near the term of pregnancy.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.030
GPT teacher head0.269
Teacher spread0.239 · 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
Published2013
Admission routes1
Has abstractyes

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