Fetal spina bifida associates with dysregulation in nutrient-sensitive placental gene networks: findings from a matched case-control study
Bibliographic record
Abstract
Abstract To improve outcomes of fetuses with spina bifida (SB), better knowledge is needed on the molecular drivers of SB and its comorbidities. We have recently shown in historical data that SB often associates with reduced fetal growth. We here use placental transcriptome sequencing and a novel nutrient-focused analysis pipeline to determine whether this association is due to placental dysfunction. We show that fetuses with SB have dysregulation in placental gene networks that play a role in nutrient transport, branching angiogenesis, and immune/inflammatory processes. Several of these networks are sensitive to multiple micronutrients, other than the well-known folic acid, and this deserves further investigation. An improved understanding of placental phenotype in fetuses with SB may help identify novel mechanisms associated with SB and its comorbidities, and reveal new targets to improve fetal outcomes in this population.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".