Long-Term Impacts of Preeclampsia on the Cardiovascular System of Mother and Offspring
Bibliographic record
Abstract
Preeclampsia is a pregnancy-specific complication that is associated with an increased postpartum risk of cardiovascular disease (CVD) in both women and their offspring, although the underlying mechanisms have yet to be fully elucidated. Nevertheless, differential methylation of cytosine-phosphate-guanosine islands and alterations in the expression of microRNA, associated with an elevated risk of CVD, have been observed in women and their children following preeclampsia. Among this specific population, genetic and epigenetic factors play crucial roles in the development of CVD in later life. A series of biomolecules involved in inflammation, oxidative stress, and angiogenesis may link pregnancy vascular bed disorders in preeclampsia to the pathogenesis of future CVD and thus could be valuable for the prediction and intervention of long-term CVD in women with a history of preeclampsia and their offspring. Here, we present insights into the cardiovascular structure and functional changes of women with a history of preeclampsia and their offspring. With a focus on various underlying mechanisms, the conclusions from this review are expected to provide more potential diagnostics and treatment strategies for clinical practice.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".