Effects of calcitonin and parathyroid hormone on the regulation of cabindin‐D<sub>9k</sub> in the uterus, placenta, and fetal membrane of rats related to blood calcium level during late gestation
Bibliographic record
Abstract
Calbindin-D(9k) (CaBP-9k) gene is expressed in the uterus of pregnant rats, which is regulated by steroid hormones during estrous cycle or gestation. We hypothesized that there is a positive correlation between altered CaBP-9k expression and change in one or more of the hormones to provide a clue to the mechanism responsible for the altered calcium levels in the uterus, placenta, and fetal membrane during late gestation. Thus, in the present study, we investigated the effects of the hormones including estradiol (E2), calcitonin (CT), and parathyroid hormone (PTH) on the regulation of CaBP-9k in these tissues. There was an increase in the level of CaBP-9k in the uterus, placenta, and extra-embryonic membrane at late gestation, as blood calcium level increased. The protein level of CaBP-9k remained lower in the uterus at two-thirds of pregnancy, and then it rebounded abruptly during late pregnancy. During late gestation, E2 is postulated to be a dominant factor in the regulation of uterine CaBP-9k gene expression. Furthermore, we assumed that there is a positive correlation between altered expression of CaBP-9k and blood calcium level during pregnancy. The present study demonstrated the regulation of CaBP-9k mRNA in the uterus, placenta, and fetal membrane of rats, implying a role for CaBP-9k gene in the control of blood calcium in placenta and the calcium passing from maternal blood to fetal circulation. Taken together, these results suggest that major alterations in calcium metabolism caused by maternal thyroparathyroidectomy (TPTX), are sufficient to affect the changes in reproductive tissues during late pregnancy. In addition, an increase of blood calcium level is one of the most significant factors in the regulation of CaBP-9k at the transcriptional and/or translational levels in the reproductive tissues during late pregnancy.
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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 | 0.000 |
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".