<sup> </sup>Intra-ovarian injection of bone marrow-derived c-Kit<sup>+</sup> cells for ovarian rejuvenation in menopausal rats
Bibliographic record
Abstract
Introduction: Cell-based therapies with certain cell types are touted as novel and hopeful therapeutic intervention in the clinical setting. Here, we aimed to assess the regenerative potential of c-Kit+ cells in the rejuvenation of ovarian tissue and fertility rate in rat model of premature ovarian failure (POF). Methods: Rats were treated with 160 mg/kg/BW of 4-vinylcyclohexene dioxide for 15 days. Freshly enriched rat bone marrow-derived c-Kit+ (MACS) and c-Kit- cells (4×105 cells/10 µL) were transplanted into the ovaries of treatment and control animals. Prior to transplantation as well as 2, 4, 6, and 8 weeks post-transplantation, randomly-selected rats were euthanized and ovarian tissues were subjected to pathophysiological examinations and real-time PCR analyses. Results: POF status was confirmed by the presence of pathological features and a decreased number of immature and mature follicles compared with the control group (P < 0.05). Histological examination revealed a substantial reduction of atretic follicles in POF rats receiving c-Kit+ cells in comparison with POF rats that did not receive these cells (P < 0.05). Compared with the control samples, angiogenesis-related genes, Angpt2 and KDR, showed increased and decreased expressions in POF ovaries, respectively (P < 0.05). c-Kit+ cells had potential to restore angiogenesis in the ovarian tissue within normal ranges. Systemic levels of FSH did not significantly change in pre- or post-transplantation time points for any group (P > 0.05). Notable reduction of collagen deposition was found in c-Kit-treated rats. Transplantation of c-Kit+ cells also restored the reduced fertility rate (P < 0.05). Conclusion: The administration of c-Kit+ cells can modulate angiogenesis and pathological changes, leading to the rejuvenation of ovarian function of a rat model of premature menopause.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".