Effects of Low Concentrations of Organochlorine Compounds in Women on Calcium Transfer in Human Placental Syncytiotrophoblast
Bibliographic record
Abstract
For most Canadians, food represents one of the major sources of environmental contaminants. Among them, organochlorine compounds (OCs) are known to affect calcium (Ca2+) homeostasis. They are neurotoxic by perturbation of Ca2+ channels and pumps, and they interfere with protein kinase C (PKC) and Ca2+ binding protein (CaBP). Ca2+ is an essential element to adequate fetal growth and development. The aim of the present study is to determine the relation between low environmental maternal exposure to OCs, such as polychlorinated biphenyls (PCB 153), Aroclor 1260, p,p'-dichlorodiphenyltrichloroethane (DDT) and p,p'-dichlorodiphenyl-dichloroethane (DDE), Ca2+ levels in serum and placenta, placental Ca2+ transfer, and newborn development. Total Ca2+ and OCs were measured in women's serum samples, as well as in umbilical cord's serum and placenta at term. Placentas were taken for trophoblast cells isolation and Ca2+ incorporation kinetic experiments. Our results were obtained from 30 pregnant women from the southwestern area of Quebec. Concentrations of Aroclor 1260, PCB 153, DDE, and DDT were respectively 6.1, 6.0, 3.1, and 2.9 times lower in the umbilical cord serum than in the mother's serum at term. In the placenta, DDE was accumulated at higher levels than other contaminants. A tendency towards an inverse relation was observed for in OCs found in three compartments and Ca2+ levels in maternal serum and in placental tissues. Maternal Ca2+ concentrations do not influence Ca2+ uptake by syncytiotrophoblast. Only DDE (>/=0.70 mug/l) in maternal serum significantly was associated with a small increase in Ca2+ uptake by syncytiotrophoblast. This study will help us determine if low OC contamination significantly modifies Ca2+ transfer in syncytiotrophoblast.
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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".