75 Effect of mycobacterium cell wall fraction immunostimulant on conception rates in heifer recipients
Bibliographic record
Abstract
In cattle, the average pregnancy for IVF embryos around Days 45 to 90 is 35% (Ealy et al. 2019 J. Anim. Sci. 97, 2555–2568). Among other factors, uterine contamination with pathogens from the vagina during embryo transfer may affect pregnancy success. Prophylactic antibiotic treatment for this purpose in embryo recipients is considered malpractice. An alternative to antibiotics is the use of mycobacterium cell wall fraction (MCWF) immunostimulant (Amplimune, NovaVive Inc.) against these pathogens. Therefore, the objective was to determine the effect of MCWF on conception rates in heifer recipients. For this purpose, Holstein heifers were synchronized with 2 injections of prostaglandin F2α 14 days apart and randomly allocated to 2 groups: (1) MCWF (n = 292), single intramuscular injection of 5 mL of Amplimune on the day of pretransfer oestrus; (2) Control (n = 296): no Amplimune treatment. Embryo transfers using quality 1 frozen IVF embryos were performed in all recipients 7 to 8 days after oestrus and with a corpus luteum ≥22 mm, using a double sanitary sheath technique. Data were analysed using the generalized linear mixed model (GLMM). Results are shown in Table 1. In conclusion, treatment with MCWF increased the number of recipients to be used for embryo transfer and improved the conception rate at Day 60. Importantly, MCWF treatment was more efficient for getting a recipient pregnant by Day 60 per total of synchronized recipients. Table 1. Effect of mycobacterium cell wall fraction (MCWF) on pregnancy in heifer recipients transferred frozen embryos (quality 1) a,bValues with different superscripts within a row are different (P ≤ 0.05).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".