Human umbilical cord perivascular cells prevent chemotherapeutic drug-induced male infertility in a mouse model
Bibliographic record
Abstract
OBJECTIVE: To study whether intratesticular (IT) administration of 2 sources of human umbilical cord perivascular cells (HUCPVC), rich and potent sources of mesenchymal stromal cells (MSC), before chemotherapy can prevent infertility in a mouse model. DESIGN: Two control groups of CD1 male mice without busulfan (BUS) administration (untreated and IT media injection groups) were included. Experimental groups included IT administration of media, first trimester (FTM) HUCPVCs or term HUCPVCs (n = 5 each) injected 3 days before BUS treatment (20 mg/kg). All groups were included in a mating time course study over 6 months. SETTING: Preclinical study in a fertility center research laboratory. PATIENTS: Not applicable. INTERVENTION: IT delivery of FTM or term HUCPVC before BUS treatment. MAIN OUTCOME MEASURES: Pregnancies, litter sizes, and gross morphology of offspring were monitored. Caudal epididymal sperm concentration, motility, and progressive motility were assessed by computer-assisted sperm analysis. Spermatogenesis was also assessed histologically in testicular tissue sections. RESULTS: FTM and term HUCPVC displayed an MSC-associated immunophenotype and expressed transcripts encoding paracrine factors known to regulate the testicular cell niche. IT administration of FTM and term HUCPVC before chemotherapy promoted the recovery of spermatogenesis and fertility compared with BUS-treated animals that received a media injection. Although the total number of pups sired over 6 months by males treated with FTM or term HUCPVC was reduced compared with untreated or media-injected controls, litter size and sperm parameters in fertile animals did not differ between control and cell-treated groups. CONCLUSION: HUCPVC represent a promising source of MSC-based therapy to prevent gonadotoxic chemotherapeutic drug-induced infertility.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".