Placental melatonin production and melatonin receptor expression are altered in preeclampsia: new insights into the role of this hormone in pregnancy
Bibliographic record
Abstract
The melatonin system in preeclamptic pregnancies has been largely overlooked, especially in the placenta. We have previously documented melatonin production and expression of its receptors in normal human placentas. In addition, we and others have shown a beneficial role of melatonin in placental and fetal functions. In line with this, decreased maternal blood levels of melatonin are found in preeclamptic compared with normotensive pregnancies. However, melatonin production and expression of its receptors in preeclamptic compared with normotensive pregnancy placentas has never been examined. This study compares (i) melatonin-synthesizing enzyme expression and activity, (ii) melatonin and serotonin, melatonin's immediate precursor, levels and (iii) expression of MT1 and MT2 melatonin receptors in placentas from preeclamptic and normotensive pregnancies. Protein and mRNA expression of aralkylamine N-acetyltransferase (AANAT) and hydroxyindole O-methyltransferase (HIOMT), the melatonin-synthesizing enzymes, as well as MT1 and MT2 receptors were determined by RT-qPCR and Western blot, respectively. The activities of melatonin-synthesizing enzymes were assessed by radiometric assays while melatonin levels were determined by LC-MS/MS. There is a significant inhibition of AANAT, melatonin's rate-limiting enzyme, expression and activity in preeclamptic placentas, correlating with decreased melatonin levels. Likewise, MT1 and MT2 expression is significantly reduced in preeclamptic compared with normotensive pregnancy placentas. We propose that reduced maternal plasma melatonin levels may be an early diagnostic tool to identify pregnancies complicated by preeclampsia. This study indicates a clinical utility of melatonin as a potential treatment for preeclampsia in women where reduced maternal plasma levels have been identified.
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".