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Melatonin in Pregnancy: Effects on Brain Development and CNS Programming Disorders

2016· review· en· W2263403818 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Pharmaceutical Design · 2016
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsMelatoninNeuroprotectionFetusPregnancyEndocrinologyInternal medicinePlacentaOxidative stressMedicineBiology

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.160
GPT teacher head0.444
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it