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Contribution of Membrane Progesterone Receptors α and β to Ventilatory Chemoreflex in Female Mice.

2015· article· en· W1150931695 on OpenAlexafffund
Ryma Boukari, Orlane Rossignol, François Marcouiller, Aïda Bairam, Vincent Joseph

Bibliographic record

VenueThe FASEB Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsHypercapniaHypoxia (environmental)EndocrinologyInternal medicineRespiratory systemReceptorControl of respirationHypoxic ventilatory responseChemistryRespirationBiologyMedicineAnatomyOxygen

Abstract

fetched live from OpenAlex

We hypothesized that the membrane progesterone receptors (mPR) α and β which are expressed in the brainstem, modulate ventilatory chemoreflex. Adult female mice were instrumented with an osmotic pump for chronic infusion of small interfering RNA (siRNA) against mPRα or mPRβ in the fourth ventricle. Two weeks later, respiratory recordings were performed using whole body plethysmography under normoxia (30 min) and then in response to hypoxia (12% O 2 ), hypercapnia (5% CO 2 ) or hypoxic‐hypercapnia (5% CO 2 + 12% O 2 ), 10 min each. Compared to control experiments (vehicle solution without siRNA), the deletion of mPRα decreased the ventilatory response to hypercapnia (early phase, at 1 min of exposure). Whereas mPRβ deletion suppressed the ventilatory response during the early phase of exposure to hypoxia and hypoxic‐hypercapnia. In mice treated with the siRNA against mPRβ, the ventiltory responses to hypoxia and hypoxic‐hypercapnia were observed after a delay of 5.5±0.7 and 5.1±0.5 min compared to 0.2±0.1 and 0.7±0.4 min in controls. Specific deletions of mPRα and mPRβ have been verified by immunohistochemistry. We conclude that mPRα and β modulate the ventilatory chemoreflex in adult female mice. Founded by CIHR (MOP‐102715).

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.068
GPT teacher head0.372
Teacher spread0.304 · 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
Published2015
Admission routes2
Has abstractyes

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