54 COMPOSITION OF ALLANTOIC FLUID IN CATTLE PREGNANT WITH AI-, IVP-, OR NUCLEAR TRANSFER-GENERATED EMBRYOS
Bibliographic record
Abstract
Abnormal placentation, pregnancy failure, and hydroallantois are associated with somatic cell nuclear transfer (SCNT) in cattle. Identification of diagnostic markers for abnormal placentation in early gestation would permit therapeutic intervention. Ultrasonography and transvaginal sampling of amniotic and/or allantoic (fetal) fluid enables regular monitoring of fetal health. We report on the composition of serial samples of fetal fluid from individual cows between Days 70–130 of gestation and the potential of steroid and electrolyte composition as an early diagnostic marker for the subsequent occurrence of hydroallantois in SCNT pregnancies in cattle. On Day 70, pregnancy rates were 50% and 60% for cows or heifers implanted with single in vitro-fertilized (IVP, 20/40) or SCNT (25/42) embryos, respectively, and 67% for pregnancies generated by artificial insemination (AI, 12/18). Resulting fetuses were either clones (SCNT) or offspring (IVP/AI) of a donor Holstein bull. Fetal fluids, sampled using ultrasound-guided transvaginal puncture, were collected on Days 70, 100, and 130 of gestation (n = 12 and 139 for amniotic and allantoic samples, respectively). Placental and fetal morphological data were collected following slaughter between Days 135–163 of gestation (n = 14, 20, and 10 for SCNT, IVP, and AI groups, respectively). Fetal fluids were analyzed for progesterone, estrone sulphate, sodium, chloride, potassium, creatinine, urea, calcium, magnesium and phosphate. Pregnancy outcomes for the SCNT group were retrospectively classified as: Fail 100 (pregnancies failing between Days 70–99; n = 6); Fail 130 (failing between Days 100–129; n = 5); Hydrops (greater than 10 L combined amniotic and allantoic fluid at postmortem between Days 135–163; n = 8) and SCNT Pregnant 150 (pregnant between Days 135–163; n = 6). IVP and AI pregnancies were classified as IVP or AI Pregnant 150. Fluid composition was analyzed by ANOVA on log-transformed data. On Day 70, allantoic progesterone and estrone sulphate concentrations were significantly higher (P < 0.05) for the SCNT cows compared to the IVP/AI Pregnant 150 cows. On Day 70, allantoic potassium, chloride, creatinine, and urea concentrations were significantly higher (P < 0.05) for the SCNT Hydrops cows compared to the IVP/AI Pregnant 150 cows. In addition, Day 70 allantoic creatinine and urea concentrations were significantly higher (P < 0.05) for the SCNT Hydrops cows compared to other SCNT groups. By Day 100, allantoic chloride, creatinine, and urea concentrations in SCNT Hydrops cows were significantly lower (P < 0.05) than in IVP/AI Pregnant 150 groups. We conclude that elevated Day 70 allantoic urea and creatinine concentrations are potential early diagnostic markers predicting hydroallantois in recipient cattle carrying SCNT fetuses. Further investigation of these markers in other somatic donor cell lines used for nuclear transfer is warranted to determine their general utility.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".