Assessment of steroidogenic pathways that do not require testosterone as intermediate
Bibliographic record
Abstract
Traditional literature and textbooks generally describe that estradiol (E2) and dihydrotestosterone (DHT) are synthesized from the aromatization and 5α-reduction of testosterone (T), respectively, following a pathway in which T is an essential intermediate (Tpath). This pathway implies that the steps of aromatization and 5α-reduction follow the reaction of the androgenic 17β-hydroxysteroid dehydrogenase (17β-HSD) that catalyzes the conversion of 4-androstenedione (4-dione) into T, and that estrogenic 17β-HSDs are not required. Contrary to this belief, the cloning of many estrogen-specific 17β-HSDs and the observation of higher affinity of aromatase and 5α-reductase for 4-dione than T are strongly in favor of biosynthetic pathways in which the steps catalyzed by aromatase and 5α-reductase precede that catalyzed by 17β-HSDs. Such pathways do not require T as an intermediate, as demonstrated by experiments using [14C]-labeled DHEA and 4-dione as substrates and incubation with SZ95 sebaceous gland, DU-145 prostate cancer and JEG-3 choriocarcinoma cell lines cultured in the presence of inhibitors of 5α-reductase and aromatase. A review of early literature about patients with testicular 17β-HSD deficiency and of steroid metabolism appears to confirm the physiological functionality of the E2 and DHT biosynthetic pathway not requiring T as intermediate (noTpath).
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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 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".