Viability and function of the cryopreserved whole ovary: in vitro studies in the sheep
Bibliographic record
Abstract
BACKGROUND: Cryopreservation of whole ovaries followed by vascular transplantation may improve long-term function in comparison to conventional cryopreservation of ovarian cortex and avascular transplantation. The aim of this study was to assess methods for the evaluation of viability and function of frozen-thawed whole ovaries. METHODS: Ewe ovaries were flushed with either cryoprotectant (propandiol: FROZEN-PROH) or Ringer Acetate (FROZEN-RA) followed by slow freezing. Some ovaries were assessed fresh after flushing with Ringer Acetate (FRESH-RA). Assessment was done by light microscopy, biochemical response (cyclic adenosine 3',5'-monophosphate (cAMP) and steroids) during in vitro perfusion with forskolin, viability assay and cell culture. RESULTS: Microscopy showed well-preserved morphology with the presence of small follicles in all groups before perfusion. Stromal oedema was seen after in vitro perfusion of FROZEN ovaries, and shrunken small follicles were seen only in FROZEN-RA at the end of perfusion. During in vitro perfusion, FRESH-RA ovaries responded with large increase in levels of cAMP after stimulation with forskolin. FROZEN-PROH and FROZEN-RA ovaries exhibited lower production of cAMP. Progesterone concentrations in cell cultures of dispersed ovarian cells were higher in FRESH-RA when compared with FROZEN groups. Addition of hCG to cell cultures resulted in higher progesterone levels in the FROZEN-PROH compared with FROZEN-RA. Cell viability assay showed overall viability of 60-75% with no significant difference between groups. CONCLUSION: In vitro perfusion may prove to be a suitable method to test viability and function of frozen-thawed whole ovaries contributing to the optimization of current cryopreservation protocols.
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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".