Gene regulation of neurokinin B and its receptor NK3 in late pregnancy and pre-eclampsia
Bibliographic record
Abstract
Elevated circulating levels of the tachykinin, neurokinin B (NKB), have been observed in women with pre-eclampsia during the third trimester of pregnancy. Currently, the molecular mechanisms responsible for these increased levels remain unknown. To understand the molecular regulation, we have compared the differences in gene expression of the tachykinins and their receptors in control and pre-eclamptic placentae and the responses of the TAC3 gene encoding NKB to proposed physiological triggers of pre-eclampsia including hypoxia and oxidative stress using real-time quantitative PCR. We have determined the placenta to be the main site of TAC3 expression with levels 2.6-fold higher than the brain. TAC3 expression was found to be significantly higher in pre-eclamptic placenta (1.7-fold, P < 0.05) than in normal controls. No evidence was found that hypoxia and oxidative stress were responsible for increases in TAC3 expression. In rat placenta, a longitudinal study in normal late pregnancy was associated with a significant down-regulation of the NKB/NK3 ligand-receptor pair (P < 0.05). The present data suggest that the increased placental expression of TAC3 is part of the mechanism leading to the increased circulating levels of NKB in pre-eclampsia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".