A Novel Technical Approach for the Measurement of Individual ACAT-1 and ACAT-2 Enzymatic Activity in the Testis
Bibliographic record
Abstract
Acyl-coenzyme A:cholesterol acyltransferase (ACAT) is implicated in the esterification of cholesterol when the latter is present at concentrations exceeding metabolic demands. Thus, ACAT contributes to the maintenance of cholesterol homeostasis which in testis is essential for the production of fertile gametes. However, the role of individual isoform of the enzyme in the maintenance of cholesterol homeostasis in the gonads has not been addressed yet because approaches to measure the enzymatic activity of each isoform were lacking. Here, we used the selective ACAT-1 inhibitor, K-604, to measure the individual enzymatic activity of ACAT-1 and ACAT-2 in enriched fractions of mouse seminiferous tubules. K-604 inhibited adult mouse ACAT-1 much more than ACAT-2 with IC(50) values of 100 and 1,000 microM, respectively, in the tubules. Next, the inhibitor concentration (100 microM) that inhibits the activity of ACAT-1 but not the activity of ACAT-2 was determined and applied to measure ACAT-1 and ACAT-2 enzymatic activities in mouse seminiferous tubule-enriched fractions. ACAT-2 activity reached 2173 CPMB/200 microg protein, while ACAT-1 enzymatic activity was 713 CPMB/200 microg proteins in the tubules. We also compared the effect of another inhibitor Manassantin B with K-604. Increasing the concentration (0-1,000 microM) of Manassantin B resulted in the inhibition of the activity of both ACAT-1 and ACAT-2. The results show that only K-604 is a useful tool to determine the individual ACAT-1 and ACAT-2 enzymatic activities in the seminiferous tubules.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".