Impact of maternal circulating cholesterol and gestational diabetes mellitus on lipid metabolism in human term placenta
Bibliographic record
Abstract
Maternal hypercholesterolemia (HC) during pregnancy and gestational diabetes mellitus (GDM) are associated with disturbance of fetal development which may also modify key features of placental functions. In this study, we evaluated the impact of maternal hypercholesterolemia on placental cholesterol and lipid metabolism in 59 women classified in two groups according to the median concentration of plasma total cholesterol (6.42 mM). The impact of GDM was also evaluated on the metabolism of placentas obtained from 7 insulin-treated GDM and 7 non-GDM women. We showed that high maternal circulating cholesterol is associated with a significant increase in the LDL-cholesterol, ApoB-100 and triglyceride concentrations in the maternal blood. However the level of cholesterol in the venous cord blood and placenta remains unchanged in response to modification in maternal cholesterol profile. The levels of Fatty acid synthase (FAS) and SREBP-2 expressions in placenta are significantly increased in the HC group while expression of both sterol regulatory element-binding proteins-1 (SREBP-1) and HMG-CoA reductase (HMGR) are not modified. GDM is not associated with modification in the maternal lipid profile but it increases the concentration of inflammatory cytokines (IL-1beta and TNF-alpha) in placenta which correlates with a dramatic induction of FAS expression without affecting the expression of mature SREBPs proteins. In conclusion, our study suggests that in placenta, expressions of key proteins involved in de novo lipid synthesis are affected by changes in maternal metabolism (HC and GDM) that may subsequently affect fetal development.
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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".