Melatonin in Pregnancy: Effects on Brain Development and CNS Programming Disorders
Bibliographic record
Abstract
Melatonin is an important neuroprotective factor and its receptors are expressed in the fetal brain. During normal pregnancy, maternal melatonin level increases progressively until term and is highly transferred to the fetus, with an important role in brain formation and differentiation. Maternal melatonin provides the first circadian signal to the fetus. This indolamine is also produced de novo and plays a protective role in the human placenta. In pregnancy disorders, both maternal and placental melatonin levels are decreased. Alteration in maternal melatonin level has been associated with disrupted brain programming with long-term effects. Melatonin has strong antioxidant protective effects directly and indirectly via the activation of its receptors. The fetal brain is highly susceptible to oxygenation variation and oxidative stress that can lead to neuronal development disruption. Based on that, several approaches have been tested as a treatment in case of pregnancy disorders and melatonin, through its neuroprotective effect, has been recently accepted against fetal brain injury. This review provides an overview about the protective effects of melatonin during pregnancy and on fetal brain development.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".