Cell-Free Placental DNA in Maternal Plasma in Relation to Placental Health and Function
Bibliographic record
Abstract
BACKGROUND: While cell-free placental DNA (cfp-DNA) increases in response to certain pathological conditions, confounding variables, such as placental size, may also contribute to its release. Furthermore, the relationship between cfp-DNA and maternal serum proteins has not been well investigated. OBJECTIVE: To analyze plasma cfp-DNA levels and correlate with measurable placental parameters, maternal serum proteins, or pathologic conditions reflecting placental dysfunction. METHOD: Methylated fraction of RASSF1A was quantified in maternal plasma as a measure of cfp-DNA in a cohort of 86 pregnant women. RESULTS: Placental dimensions or weight had no impact on cfp-DNA levels in noncomplicated pregnancies (n = 63). However, an association between β-hCG and cfp-DNA levels (p = 0.0012) was detected. Complications occurred in 23 pregnancies including chromosomal abnormalities, gestational hypertension, intrauterine growth restriction, and preterm birth. There was overall a skewed distribution (<-1 SD or >1 SD from mean) for cfp-DNA in the abnormal group, although due to the small number of samples for each pathology, we provide only descriptive data to assess possible trends in cfp-DNA variation. CONCLUSION: While cfp-DNA levels outside of the normal range may reflect placental distress, this relationship may be masked by a number of physiological confounders. The independence of cfp-DNA from β-hCG levels commonly assessed in pregnancy need to be further addressed.
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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 | 0.000 | 0.000 |
| 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 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".