Effects of intravenous infusion of <i>E. coli</i> lipopolysaccharide in early pregnant cows
Bibliographic record
Abstract
The objective was to characterize effects of Escherichia coli LPS (given i.v.) on corpus luteum (CL) and embryonic viability in early pregnant cattle. Eight non-lactating German Holstein cows were given 0.5 µg/kg LPS on 35 ± 3 day (mean ± s.e.m.) of pregnancy, whereas seven heifers, 41 ± 6 day pregnant, were given 10 mL saline (control group). Transrectal B-mode examinations of the CL were done at -1, 3, 6, 12, 24, 48, 72 and 96 h relative to treatment. Blood samples were collected at -1, 0.5, 1, 2, 3, 4, 6, 9, 12, 24, 48, 72 and 96 h. At 12 and 48 h, the CL was biopsied. None of the cows still in the experiment 10 day after LPS (n = 7) had embryonic loss. In LPS-treated cows, luteal area decreased (from 4.1 to 3.1 cm2; P ≤ 0.05) within 6 h and until 48 h. Luteal blood flow decreased by 39% (P ≤ 0.05) within the first 6 h after LPS, but returned to pre-treatment values by 48 h. Plasma P4 decreased by 62% (P ≤ 0.05), reached a nadir (2.7 ± 0.6 ng/mL) at 12 h after LPS and was not restored to pre-treatment (P ≤ 0.05). In luteal tissue, mRNAs for STAR and for FGF1 were lower (P ≤ 0.05) in LPS than in saline-treated cattle at 12 h, with no difference between groups at 48 h. Levels of mRNAs for CASP3 and FGF2 were not different between groups (P > 0.05) at 12 or 48 h after treatment. In conclusion, LPS transiently suppressed CL function, but did not induce embryonic mortality.
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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 | 0.001 |
| 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 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".