Impacts of Preeclampsia on the Brain of the Offspring
Bibliographic record
Abstract
Preeclampsia (PE) is a significant gestational disorder that causes complications in 3-5% of all human pregnancies. Apart from the immediate risks and complications for mother and fetus, both additionally carry elevated lifelong risks for specific complications. Offspring of PE pregnancies (PE-F1) have higher risks for hypertension, stroke and cognitive impairment compared with well-matched offspring (F1) from uncomplicated pregnancies. Prior to the clinical onset of PE, placental angiokines secreted into the maternal plasma are deviated. In many PE patients this includes deficits in placental growth factor (PGF). Our laboratory found that mice genetically-deleted for PGF (PGF - / - ) have altered cerebrovascular and brain neurological development detectable from midgestation to adulthood. We hypothesized that the PGF deficits seen in human PE, deviate fetal cerebrovascular and neurological development in a manner that impairs cognitive functions and elevates stroke risk. Here we summarize the initial analytical outcomes from a pilot study of 8-10 year old male and female PE-F1s and matched controls. Our studies were the first to report magnetic resonance imaging (MRI), magnetic resonance angiography (MRA) and functional brain region assessment by eye movement control and clinical psychometric testing in PE-F1s. Further studies in larger cohorts are essential to define whether there are image-based biomarkers that describe unique anatomical features in PE-F1 brains.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".