Requirement for, and patterns of, pyruvate and glutamine metabolism in the domestic dog oocyte in vitro
Bibliographic record
Abstract
Supplementation of energy substrates to culture medium is essential for resumption and completion of meiosis in vitro for many mammalian species. Objectives were to study the dog oocyte, specifically the influences of pyruvate and glutamine on maturation and the utilization of these two substrates at various developmental stages and incubation times. Ovarian oocytes (n=681) were obtained from spayed bitches and cultured for 48 hr in TCM 199 medium containing various concentrations of pyruvate (0-2.5 mM) and glutamine (0-4 mM) before being assessed for nuclear status. For analyzing metabolic activity, 259 dog oocytes were cultured for 0, 12, 24, 36, or 48 hr, assessed for pyruvate and glutamine metabolism using the hanging drop method and then evaluated for nuclear status. Neither pyruvate nor glutamine had influence (P > 0.05) on oocyte maturation in vitro (IVM). However, both culture interval and meiotic status influenced pyruvate uptake (P < 0.05). Specifically, pyruvate uptake declined as the oocyte progressed from the germinal vesicle (GV) to metaphase II (MII) stage. Glutamine oxidation decreased as culture duration progressed (P < 0.05). In summary, pyruvate or glutamine is not required to promote successful IVM of dog oocytes. But, both substrates are being metabolized, and in patterns different to the domestic cat, another carnivore species. Pyruvate played an important role earlier in the maturational process, and less glutamine was oxidized as the oocyte neared nuclear maturation. These variations emphasize the importance of defining species specificities in carnivores before expecting consistently successful IVM/IVF.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".