Betaine is a highly effective organic osmolyte but does not appear to be transported by established organic osmolyte transporters in mouse embryos
Bibliographic record
Abstract
Betaine protects early preimplantation mouse embryos against increased osmolarity in vitro, functioning as an organic osmolyte. Betaine is effective at very low external concentrations, with half-maximal protection of 1-cell embryo development to blastocysts at approximately 50 microM, making it one of the best osmoprotectants for mouse preimplantation embryos. We performed studies designed to determine whether known high-affinity organic osmolyte transporters could account for the ability of betaine to act as an organic osmolyte in preimplantation embryos. We found no evidence in 1-cell embryos of transport by a betaine/GABA transporter (BGT1), the osmoregulated betaine transporter found in a number of cell types, as betaine and GABA did not inhibit each other's transport. Instead, all saturable GABA transport in embryos was apparently via the beta-amino acid transporter. We also found that the glycine transporter, GLY, which mediates osmoprotective transport of glycine in early preimplantation embryos, does not appear to transport betaine. Finally, increased osmolarity did not induce any detectable System A amino acid transporter activity, which is osmotically-inducible in other cells and can transport betaine. There does appear, however, to be a saturable betaine transporter in 1-cell mouse embryos, as considerable 14C-betaine transport was measured which was substantially inhibited by excess unlabeled betaine. Our data imply that betaine functions as an organic osmolyte in embryos due to its saturable transport via a mechanism distinct from known osmolyte transporters. We propose that an unidentified high-affinity betaine transporter may be expressed in early embryos and mediate transport of betaine as an organic osmolyte.
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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) | 0.001 | 0.001 |
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".