Adrenomedullin Messenger Ribonucleic Acid Expression in the Placentae of Normal and Preeclamptic Pregnancies
Bibliographic record
Abstract
In pathological pregnancies, alterations in circulating maternal and fetal adrenomedullin (ADM) concentrations may mediate compensatory vascular responses in the fetal or placental circulation. To address whether ADM is a potential paracrine vasoactive factor within the placenta, the regional distribution and cellular localization of ADM mRNA expression were determined by Northern blot and in situ hybridization of different regions of the placenta and fetal membranes from pregnancies complicated by severe preeclampsia [<28 wk (n = 7) and >28 wk (n = 13)] and from normotensive pregnancies [<28 wk (n = 6) and >28 wk (n = 15)]. Northern blotting revealed that ADM mRNA (1.3 kb) was expressed in chorionic villi and basal plate regions, but was most abundantly expressed in the choriodecidua. By in situ hybridization, ADM mRNA was localized to the syncytiotrophoblasts and the extravillous cytotrophoblasts in the basal plate and choriodecidua regions. ADM mRNA expression was increased in the choriodecidua, syncytial knots, and cytotrophoblasts in peri-infarct regions in preeclampsia. In chorionic villous explant studies maintained at reduced oxygen tension, ADM mRNA abundance was increased at 12, 24, and 48 h. ADM mRNA expressed in syncytiotrophoblasts and cytotrophoblasts in the basal plate decidua and choriodecidua may contribute to the maternal and fetal plasma levels. In preeclampsia, regional increases in ADM mRNA may be induced by hypoxia and mediate local fetal/placental adaptive responses to reduced placental perfusion.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".