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Record W2020293056 · doi:10.1159/000298894

Influence of 20α-Dihydroprogesterone on Progesterone Output by Human Chorion Explants

2010· article· en· W2020293056 on OpenAlexaff
Wendy Powell, John Challis

Bibliographic record

VenueGynecologic and Obstetric Investigation · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsSt. Joseph's HospitalWestern University
FundersMedical Research Council
KeywordsExplant cultureInternal medicineEndocrinologyDehydrogenaseMetaboliteMetabolismBiologyEnzymeChemistryIn vitroBiochemistryMedicine

Abstract

fetched live from OpenAlex

The output of progesterone by explants of chorion incubated without exogenous precursor was increased in the presence of 20 alpha-dihydroprogesterone (20 alpha-diHP). We have now examined the nature of the 20 alpha-diHP effect. Explants of chorion were incubated with [3H]progesterone and 3 microM non-radiolabelled 20 alpha-diHP to examine the effect of 20 alpha-diHP on progesterone metabolism. Significantly more radioactivity remained as unmetabolized [3H]progesterone compared to chorion incubated in the absence of non-radiolabelled 20 alpha-diHP. There was also a decrease in the output of [3H]-20 alpha-diHP by the explants but no change in the output of a second metabolite of progesterone [3H]-5 alpha-pregnanedione. When explants were incubated with 20 alpha-diHP in the presence of the 3 beta-hydroxysteroid dehydrogenase inhibitor, trilostane, the output of progesterone was significantly greater than with explants incubated with trilostane but without addition of 20 alpha-diHP. Radiochemically pure [3H]progesterone was produced by explants of chorion incubated with [3H]-20 alpha-diHP. We conclude that 20 alpha-diHP may serve as substrate for chorionic progesterone production through 20 alpha-hydroxysteroid dehydrogenase. 20 alpha-diHP, formed from progesterone, may also exert product feedback inhibition on this enzyme.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.572

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 head0.007
GPT teacher head0.221
Teacher spread0.214 · 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 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

Citations3
Published2010
Admission routes1
Has abstractyes

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