High-cholesterol diet during pregnancy induces maternal vascular dysfunction in mice: potential role for oxidized LDL-induced LOX-1 and AT1 receptor activation
Bibliographic record
Abstract
The lectin-like oxidized low-density-lipoprotein (oxLDL) receptor-1 (LOX-1) has been shown to induce angiotensin II (AngII) type 1 receptor (AT1) activation, contributing to vascular dysfunction. Preeclampsia is a pregnancy complication characterized by vascular dysfunction and increased LOX-1 and AT1 activation; however, whether LOX-1 and AT1 activity contributes to vascular dysfunction in preeclampsia is unknown. We hypothesized that increased oxLDL levels during pregnancy lead to LOX-1 activation and subsequent AT1 activation, resulting in vascular dysfunction. Pregnant wild-type (WT) and transgenic LOX-1 overexpressing (LOX-1tg) mice were fed a control diet (CD) or high-cholesterol diet (HCD, to impair vascular function) between gestational day (GD) 13.5-GD18.5. On GD18.5, AngII-induced vasoconstriction and methylcholine (MCh)-induced endothelium-dependent vasodilation responses were assessed in aortas and uterine arteries. HCD decreased fetal weight and increased circulating oxLDL/cholesterol levels in WT, but not in LOX-1tg mice. HCD did not alter AngII responsiveness or AT1 expression in both vascular beds; however, AngII responsiveness and AT1 expression were lower in aortas from LOX-1tg compared with WT mice. In aortas from WT-CD mice, acute oxLDL exposure induced AT1-mediated vasoconstriction via LOX-1. HCD impaired endothelium-dependent vasodilation and increased superoxide levels in WT aortas, but not uterine arteries. Moreover, in WT-CD mice oxLDL decreased MCh sensitivity in both vascular beds, partially via LOX-1. In summary, HCD impaired pregnancy outcomes and vascular function, and oxLDL-induced LOX-1 activation may contribute to vascular dysfunction via AT1. Our study suggests that LOX-1 could be a potential target to prevent adverse outcomes associated with vascular dysfunction in preeclampsia.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".