Functional importance of palmitoyl protein thioesterase 1 (PPT1) expression by Sertoli cells in mediating cholesterol metabolism and maintenance of sperm quality
Bibliographic record
Abstract
Sertoli cells are a type of nurse cell in the seminiferous epithelium that are crucial for sustaining spermatogenesis by extending nutritional and energy support to the developing germ cells. Dysfunction of Sertoli cells could cause disordered spermatogenesis and reduced fertility in males. In this study, we focused on the expression and function of palmitoyl protein thioesterase 1 (PPT1), a lysosomal depalmitoylating enzyme, in Sertoli cells. Here, we show that PPT1 expression in Sertoli cells is responsive to cholesterol treatment and that specific knockout of Ppt1 in Sertoli cells causes male subfertility associated with poor sperm quality and a high ratio of sperm deformity. Specifically, Ppt1 deficiency leads to poor cell variably accompanied with abnormal lysosome accumulation and increased cholesterol levels in Sertoli cells. Further, Ppt1 deficiency results in poor adhesion of developing germ cells to Sertoli cells in the seminiferous epithelium, which is likely to be responsible for the reduced male fertility as a consequence of declines in sperm count and motility as well as a high incidence of sperm head deformity. In summary, PPT1 affects sperm quality and male fertility through regulating lysosomal function and cholesterol metabolism in Sertoli cells.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".