Alterations in the testis of hormone sensitive lipase‐deficient mice is associated with decreased sperm counts, sperm motility, and fertility
Bibliographic record
Abstract
Hormone-sensitive lipase (HSL, Lipe, E.C.3.1.1.3) functions as a triglyceride and cholesteryl esterase, supplying fatty acids, and cholesterol to cells. Gene-targeted HSL-deficient (HSL(-/-)) mice reveal abnormal spermatids and are infertile at 24 weeks after birth. The purpose of this study was to follow the evolution of spermatid abnormalities as HSL(-/-) mice age, characterize sperm motility in older HSL(-/-) mice, and determine if mice expressing a human testicular HSL transgene (HSL(-/-)ttg) produce normal motile sperm. In situ hybridization indicated that HSL is expressed exclusively in steps 5-16 spermatids, but not in Sertoli cells. In HSL(-/-) mice, abnormalities were evident in step 16 spermatids at 5 weeks after birth, with defects progressively increasing in spermatids with age. The defects included multinucleation of spermatids, abnormal shapes and a reduction of elongating spermatids. In older HSL(-/-) mice, sperm counts appeared reduced by 42%, but this value was lower because samples were compromised by the presence of small degenerating germ cells in addition to sperm, both of which appeared of similar size and density. Sperm motility was dramatically reduced with only 11% classified as motile in HSL(-/-) mice compared to 76-78% of sperm in wild-type and HSL(-/-)ttg mice. Sperm morphology, counts, and motility were normal in HSL(-/-)ttg mice, as was their fertility. Collectively, the data indicate that HSL deficiency results in abnormal spermatid development with defects arising at 5 weeks of age and progressively increasing at later ages. HSL(-/-) mice also show a dramatic reduction in sperm counts and motility and are infertile.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".