Characterization of Na+⁄K+-ATPase associated with boar fertility
Bibliographic record
Abstract
The ubiquitous transmembrane protein Na + ⁄K + -ATPase affects sperm fertility and capacitation through ion transport and cell signaling, but its effect on in vivo boar fertility, and any controlling mechanism(s) are unknown. The isoforms of the α and β subunits of Na + ⁄K + -ATPase (α1, α2, α3, β1, β2, β3) were assessed in one ejaculate from each of six high and six low fertility boars (HF, LF respectively) which differed in their in vivo direct boar effects (DBE) for both farrowing rate (FR) and litter size (p<0.05). Sperm function assessed by CASA was similar in HF and LF ejaculated sperm. Immunocytochemistry of the ejaculate sperm found more intact HF than LF sperm had α3 equatorially (p<0.05), and fewer HF than LF methanol-permeabilized sperm had detectable α2 (p<0.05). Image Quant analysis of Western blots rigorously quantified the amount of each isoform in the isolated head plasma membrane from each ejaculate, determining that the total amount of the isoform α3, and the amounts of 7 individual α3 bands, differed significantly (HF>LF, p<0.05), and linear regression confirmed a highly significant relationship of total amount of α3 and α1 with FR (r 2 =0.90; p<0.0001 and r 2 =0.36; p<0.05, respectively). The β1, β2 and β3 isoforms in LF lacked several molecular weight bands common to HF, and the total volume of β1 tended to correlate with DBE for FR (r 2 = 0.2652; p = 0.09). These findings suggest that specific isoforms of Na + /K + -ATPase in the sperm head are correlated to boar in vivo fertility, probably through Na + ⁄K + -ATPase’s role in capacitation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".