Abstract 15833: Circulating MicroRNAs Provide Insight Into Potential Molecular Links Between Hypertensive Disorders of Pregnancy and Cardiovascular Disease
Bibliographic record
Abstract
Introduction: Hypertensive disorders of pregnancy, such as preeclampsia and gestational hypertension, are strong sex-specific risk factors for cardiovascular disease (CVD). The molecular determinants underlying this risk have not been clearly defined, but potentially involve sustained vascular damage and/or dysfunction. This may be reflected by alterations in the levels of specific circulating microRNA (miRNA). Study Objective: To identify miRNAs that circulate at different levels in women diagnosed with acute coronary syndrome (ACS), with and without a prior history of preeclampsia or gestational hypertension. Methods: The present study is a derivation cohort of women with a diagnosis of premature (age < 55 yrs) ACS, divided into three groups based on a prior history of gestational hypertension, preeclampsia, or normotensive pregnancy (n=11-13/group). The three groups were closely matched on potential confounding variables including age, chronic hypertension, diabetes, smoking status and type of ACS. Total RNA was extracted from citrate plasma of each participant, and the relative levels of 372 miRNAs were measured by high-density PCR array. Measurements and analyses were performed blinded to exposure status. Results: The circulating levels of 16 miRNAs were significantly (p<0.05) altered in the preeclampsia versus normotensive pregnancy groups (from -2.8 fold down to +2.0 fold change), and 32 miRNAs were significantly altered between the gestational hypertension and normotensive pregnancy groups (from -2.8 to +2.7 fold change). These miRNAs showed little to no overlap with previously published reports of circulating miRNAs that were altered acutely at the time of preeclamptic pregnancy or ACS event. Several priority candidates have previously been functionally annotated, including miRNAs linked to angiogenesis (miR-126-3p), inflammation (miR-146a-5p), and cholesterol metabolism (miR-122-5p). Conclusions: Circulating levels of multiple miRNAs were altered between female ACS patients with and without prior hypertensive disorders of pregnancy. These miRNAs provide novel insight into the potential molecular pathways that may contribute to vascular dysfunction and risk of CVD.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".