Localisation immunohistochimique de l’enzyme 5α-réductase type 1 et 3 dans la peau et la prostate de chiens beagle en santé.
Bibliographic record
Abstract
The 5α-reductase isoenzymes (5αR) are responsible for the conversion of testosterone into DHT. Recently, we reported the presence of mRNA for 5α-reductases in canine skin. Although we detected mRNA encoding 5αR1 and 5αR3 but not 5αR2, the distribution and localization of 5αR isoenzymes throughout the canine skin and hair follicle are still unknown. The objectives of this study were therefore to demonstrate the specific distribution and localization of 5αR type 1 and 3 isoenzymes in the skin, hair follicle and prostate of healthy beagle dogs by immunohistochemistry. Eight healthy, unrelated and intact young-mature beagle dogs (4 males and 4 females) with no history of skin disease were selected for this study. Skin biopsy samples were obtained from three anatomic sites normally affected by alopecia X (dorsal neck, back of thighs and base of tail) and two sites generally unaffected (dorsal head and ventral thoracic regions). Canine prostate glands (n=3) also collected. In the prostate gland, 5αR1 was present in secretory epithelial cells, basal epithelial cells and blood vessels. On the other hand, 5αR3 was present in basal epithelial cells and blood vessels, but was not detected in secretory epithelial cells. In the skin, 5αR1 was detected in anagen hair follicle at the level of connective tissue sheath, outer and inner root sheath, hair shaft, and dermal papilla. It was also detected in the sebaceous and sweat glands, arrector pili muscles and in vascular endothelial cells. The 5αR3 protein was detected in connective tissue sheath, dermal papilla and vascular endothelial cells of anagen hair follicles. To our knowledge, this is the first study describing the specific localization of 5αR1 and 5αR3 isoenzymes in normal canine skin, hair follicles and prostate of normal healthy beagle dogs.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".