High-cholesterol diet during pregnancy induces maternal vascular dysfunction in mice: potential role for oxidized LDL-induced LOX-1 and AT1 receptor activation
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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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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 | 0.001 |
| 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) | 0.000 | 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 it