Human type 3 5α-reductase is expressed in peripheral tissues at higher levels than types 1 and 2 and its activity is potently inhibited by finasteride and dutasteride
Bibliographic record
Abstract
5α-Reductases are crucial enzymes involved in the biosynthesis of dihydrotestosterone, the most potent natural androgen. To date, three types of 5α-reductases, chronologically named types 1, 2 and 3 5α-reductases (SRD5a-1, 2 and 3) have been described. In the present paper, we characterized the activity and compared the mRNA expression levels of SRD5a-3 with those of SRD5a-1 and 2 in various human tissues, and determined its sensitivity to finasteride and dutasteride. We have established HEK-293 cell line that stably expressed SRD5a-3 for studying its activity and the inhibitory effect of finasteride, using [14C]labeled steroids. mRNA expression levels were quantified using real-time PCR in many male and female human tissues including the prostate, adipose tissue, mammary gland, as well as breast and prostate cancer cell lines. Incubation of HEK-SRD5a-3 cells with [14C]4-androstenedione and [14C]testosterone allowed us to show that SRD5a-3 can catalyze very efficiently both substrates 4-androstenedione and testosterone into 5α-androstanedione and dihydrotestosterone, respectively. We observed that the affinity of the enzyme for 4-androstenedione is higher than for testosterone. The activity of SRD5a-3 and SRD5a-2 are similarly sensitive to finasteride, whereas dutasteride is a much more potent inhibitor of SRD5a-3 than SRD5a-2. Tissue distribution analysis shows that SRD5a-3 mRNA expression levels are higher than those of SRD5a-1 and SRD5a-2 in 20 analyzed tissues. In particular, it is highly expressed in the skin, brain, mammary gland and breast cancer cell lines, thus suggesting that SRD5a-3 could play an important role in the production of androgens in these and other peripheral tissues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".