Melatonin improves endothelial function in vitro and prolongs pregnancy in women with early‐onset preeclampsia
Bibliographic record
Abstract
Preeclampsia remains a leading cause of maternal and perinatal morbidity and mortality. There have been no material advances in the treatment of preeclampsia for nearly 50 years. Combining in vitro studies and a clinical trial, we aimed to determine whether melatonin could be a useful adjuvant therapy. In a xanthine/xanthine oxidase (X/XO) placental explant model, melatonin reduced oxidative stress (8-isoprostane) and enhanced antioxidant markers (Nrf2 translocation, HO-1), but did not affect explant production of anti-angiogenic factors (sFlt, sEng, activin A). In cultured HUVECs, melatonin mitigated TNFα-induced vascular cell adhesion molecule expression and rescued the subsequent disruption to endothelial monolayer integrity but did not affect other markers for endothelial activation and dysfunction. In a phase I trial of melatonin in 20 women with preeclampsia, we assessed the safety and efficacy of melatonin on (i) preeclampsia progression, (ii) clinical outcomes, and (iii) oxidative stress, matching outcomes with recent historical controls receiving similar care. Melatonin therapy was safe for mothers and their fetuses. Compared to controls, melatonin administration extended the mean ± SEM diagnosis to delivery interval by 6 ± 2.3 days reduced the need for increasing antihypertensive medication on days 3-4 (13% vs 71%), days 6-7 (8% vs 51%), and at delivery (26% vs 75%). All other clinical and biochemical measures of disease severity were unaffected by melatonin. We have shown that melatonin has the potential to mitigate maternal endothelial pro-oxidant injury and could therefore provide effective adjuvant therapy to extend pregnancy duration to deliver improved clinical outcomes for women with severe preeclampsia.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".