Dose-Response of Female Llamas to Ovulation-Inducing Factor from Seminal Plasma
Bibliographic record
Abstract
The present study was designed to determine if the dose of purified ovulation-inducing factor (OIF) from llama seminal plasma required to provoke an ovulatory response is physiologically relevant in terms of the proportion present in a normal ejaculate and to test the hypothesis that corpus luteum (CL) form and function are affected by OIF in a dose-dependent manner. Female llamas were assigned randomly to five groups (n = 10 per group) and given a single i.m. dose of 500, 250, 125, or 60 μg of purified OIF (representative of the amount present in 1/25th to 1/200th of a normal ejaculate) or 1 ml of PBS (control). Ovulation and CL development were monitored by transrectal ultrasonography. Blood samples were taken to measure plasma progesterone concentrations and to determine changes in plasma concentrations of luteinizing hormone (LH). The high dose of OIF (500 μg) was associated with the highest incidence of ovulation (P < 0.05), the greatest maximum CL diameter (P < 0.05), and the largest day-to-day profiles of CL diameter (P < 0.05) and plasma progesterone concentrations (P < 0.01). A rise in plasma LH concentration was apparent in all llamas that ovulated and was most rapid and highest in the high-dose group (P < 0.01). The low dose of OIF (60 μg) was minimally effective for induction of ovulation and the least luteotrophic, as evidenced by the smallest maximum CL diameter and the smallest day-to-day profiles for CL diameter and plasma concentrations of progesterone and LH. Responses were intermediate for the middle-dose groups (125 and 250 μg). We conclude that OIF from llama seminal plasma has a dose-dependent effect on ovulation rate and CL form and function in llamas and that the biological effect of OIF is evident at physiologically relevant doses (i.e., as little as 1/100th of that present in an ejaculate).
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 | 0.000 | 0.001 |
| 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".