Deficiency of Type I Platelet-Activating Factor-Acetylhydrolase Catalytic Subunits Causes an Increase in Body Weight
Bibliographic record
Abstract
Type I platelet-activating factor-acetylhydrolase (PAF-AH) forms a complex consisting of two catalytic subunits (α1 and/or α2) with a regulatory subunit (β). Although this protein was discovered as an enzyme that degrades an acetyl ester linked at the sn-2 position of platelet-activating factor (PAF), its physiological function remains unknown. In this study, to examine whether knockout mice lacking the catalytic subunits of this enzyme showed a different phenotype from that of wild-type mice, we measured and compared the body weights of knockout mice and control mice. The body weights of knockout mice were significantly increased compared to those of the control mice during 6 to 20 weeks from birth. Food intake was also significantly increased in knockout mice compared with control mice during these periods. Since a decrease in testis weight was reported in the knockout mice, we expected a decrease in testosterone levels. We measured and compared the amounts of testosterone in the serum and testis of knockout and control mice using liquid chromatography-tandem mass spectrometry, and found that testosterone levels in both the serum and testis were significantly decreased in the knockout mice compared with the control mice. These results suggest that a deficiency of type I PAF-AH catalytic subunits causes an increase in body weight, in part, due to reduced testosterone levels in male mice.
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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) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".