Measurement of Ring A-Reduced Progesterone Metabolites by Enzyme-Linked Immunoassay with Colorimetric Detection: Baseline Levels of Six Metabolites, Including Pregnanolone, in Male Rat Plasma
Bibliographic record
Abstract
The performance of an antiserum to progesterone and pregnane neurosteroids was assessed in two competitive assay setups: radioimmunoassay and enzyme-linked immunoassay with colorimetric detection, both with the same limit of detection of 2 pg. The enzyme-linked immunoassay was less labor-intensive and had better precision of measurement and was used to measure progesterone and six of its ring A-reduced metabolites in rat plasma. The measured levels of allopregnanolone and progesterone were in agreement with those reported previously when measured by gas chromatography/mass spectrometry and high-performance liquid chromatography coupled with radioimmunoassay and substantially lower than those previously measured by radioimmunoassay without chromatographic separation. Both isomers of dihydroprogesterone and all four isomers of pregnanolone were detected in rat plasma, indicating that progesterone is metabolized by reduction at the C5 and C3 position of the A ring, in both alpha and beta configurations. In addition to 5beta-dihydroprogesterone and isopregnanolone, which have not been previously detected in the rat, we found considerable amounts of pregnanolone, which is neuroactive, with similar potency to that of allopregnanolone but was previously thought not to be produced in rats.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".