Maternal Cripto is required for proper uterine decidualization and peri-implantation uterine remodeling
Bibliographic record
Abstract
Cripto encodes for a cell surface receptor whose role in embryonic development and stem cell maintenance has been studied. Cripto mRNA and protein have been detected in the human uterus at all stages of the menstrual cycle. To date, there is not much known about Cripto's role in female reproduction. As Cripto null Knockout (KO) is embryonic lethal, we created a conditional KO (cKO) mouse model in which Cripto is deleted only in the reproductive tissues using a Cre-loxP system. Pregnancy rate and number of pups per litter were evaluated as general fertility indices. We observed a significant decrease in pregnancy rate and litter size with loss of uterine Cripto indicating that Cripto cKO females are subfertile. We showed that although the preimplantation period is normal in Cripto cKO females, 20% of cKO females fail to establish pregnancy and an additional 20% of females undergo full litter loss after implantation between day 5.5 postcoitum (d5.5pc) and d8.5pc. We showed that subfertility caused by loss of uterine Cripto is due to defects in uterine decidualization, remodeling, and luminal closure and is accompanied by significant downregulation of Bmp2, Wnt4 and several components of Notch signaling pathway which all are known to be important factors in uterine remodeling and decidualization. Our study demonstrates that Cripto is expressed in the uterus during critical stages of early pregnancy and its deletion results in subfertility due to implantation failure, impaired peri-implantation uterine remodeling and impaired uterine decidualization.
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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 | 0.000 | 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) | 0.000 | 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".