Activation of Protein Kinase A During Human Sperm Capacitation and Acrosome Reaction
Bibliographic record
Abstract
Spermatozoa undergo a variety of changes during their life that are prerequisites to their maturation and ability to fertilize eggs. Mammalian sperm capacitation and acrosome reaction are regulated by signal transduction systems involving cyclic adenosine monophosphate (cAMP) as a second messenger. This second messenger acts through the activation of protein kinase A (PKA) and indirectly regulates protein tyrosine phosphorylation. cAMP levels are controlled by a balance of phosphodiesterases (PDEs) and adenylyl cyclase (AC) enzymatic activities, which are responsible for its degradation and production, respectively. The aim of this study was to evaluate the possible relationship between the intracellular levels of cAMP and PDE and PKA activities during human sperm capacitation induced by fetal cord serum ultrafiltrate (FCSu) and acrosome reaction induced by calcium ionophore A23187. We report that PKA activity was higher in capacitating than in noncapacitating spermatozoa and that intracellular levels of cAMP decreased but that PDE activity remained constant during capacitation. The acrosome reaction induced by A23187 was associated with increases in cAMP and PKA activity but not in PDE activity. These results strongly suggest that net cAMP concentration is under the control of AC, since PDE activity is constant during sperm capacitation and the acrosome reaction. Moreover, the results suggest that low levels of cAMP are sufficient for capacitation and PKA activation and/or that the cAMP concentration measured in whole spermatozoa does not reflect the effective intracellular cAMP levels present in specific compartments of these 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) | 0.002 | 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".