Formate metabolism in fetal and neonatal sheep
Bibliographic record
Abstract
By virtue of its role in nucleotide synthesis, as well as the provision of methyl groups for vital methylation reactions, one-carbon metabolism plays a crucial role in growth and development. Formate, a critical albeit neglected component of one-carbon metabolism, occurs extracellularly and may provide insights into cellular events. We examined formate metabolism in chronically cannulated fetal sheep (gestation days 119-121, equivalent to mid-third trimester in humans) and in their mothers as well as in normal full-term lambs. Plasma formate levels were much higher in fetal lamb plasma and in amniotic fluid (191 ± 62 and 296 ± 154 μM, respectively) than in maternal plasma (33 ± 13 μM). Measurements of folate, vitamin B12, and homocysteine showed that these high formate levels could not be due to vitamin deficiencies. Elevated formate levels were also found in newborn lambs and persisted to about 8 wk of age. Formate was also found in sheep milk. Potential precursors of one-carbon groups were also measured in fetal and maternal plasma and in amniotic fluid. There were very high concentrations of serine in the fetus (∼1.6 mM in plasma and 3.5 mM in the amniotic fluid) compared with maternal plasma (0.19 mM), suggesting increased production of formate; however, we cannot rule out decreased formate utilization. Dimethylglycine, a choline metabolite, was also 30 times higher in the fetus than in the mother.
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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".