Selenium Protection Against Methylmercury Adverse Neurodevelopmental Effects in Inuit Children from Nunavik, Northern Quebec, Canada
Bibliographic record
Abstract
In Nunavik, prenatal methylmercury (MeHg) exposure has been related to poorer visual and neuropsychological functions and greater risk of attention problems at school age. While some marine foods present high MeHg, others are also exceptionally rich in selenium (Se). Consequently, Inuit present one of the highest blood Se concentrations in the world. High Se intake may contribute mitigating some harmful effects of MeHg, although it never has been reported for prenatal exposure. Selenoneine - a potent antioxidant – may be the key form of Se protecting against MeHg in populations living off a marine diet. The present study aims to determine whether high Se intake can mitigate neurodevelopmental MeHg effects in Inuit children, and whether selenoneine is found in this population.The Nunavik Child Development Study is a prospective mother-child cohort study enrolled at birth with children followed at 11 years old. Total Hg and Se concentrations were assessed in cord and child blood, and selenoneine, in child blood. Neuropsychological and motor functions were evaluated from direct assessment of the child, attention problems by standardized teacher report, and visual function through electrophysiological testing. Control variables were documented through medical records, maternal interviews and blood biomarkers.The modifying effects of Se status on the associations between blood Hg and outcomes were examined using regression models stratified by blood Se. For almost all neurodevelopmental outcomes related to cord MeHg, the harmful effects of prenatal MeHg were significant only in the first cord blood Se tertile group. In child blood, selenoneine represented up to 20% of total Se among those often consuming marine mammals.Marine foods are central to Inuit culture and key source of nutrients for promoting healthy pregnancies and children. Understanding selenoneine health properties will help find solutions to better promote pregnancy wellness with marine foods in the Arctic.
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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 | 0.000 | 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 | 0.001 |
| 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".