Placenta Vitamin D Signaling in Preeclampsia
Bibliographic record
Abstract
National trends demonstrate that an overall increase in the prevalence of vitamin D insufficiency is associated with risk for preeclampsia (PE), particularly among those with reduced sun exposure. Previous studies in our lab demonstrated that 70% of women pregnant with their first baby living in the northern plains had pregnancies complicated by hypovitaminosis D and that 24% of the study participants experienced PE. As the placenta produces and utilizes vitamin D in a paracrine fashion, we investigated the differences in expression of key proteins involved in vitamin D signaling in placentas from women with normotensive pregnancy (NP) and in PE. Placenta samples were collected after delivery and frozen for analysis of protein expression by Western blot analysis. Lysates from placental homogenates were subjected to electrophoresis, transferred to a PVDF membrane and incubated with antibodies against 1á‐hydroxyase (CYP27B1), vitamin D (VDR) and retinoid X (RXR) receptors. There were no significant differences in expression of VDR or RXR between groups. Expression of CYP27B1 was significantly increased in PE compared to NP (p<0.05). Our findings indicate that placental conversion of the circulating form of vitamin D to the active form is increased in preeclampsia, increasing availability of vitamin D for utilization by the placental‐fetal unit. Supported by Robert Wood Johnson Foundation, APS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.002 | 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".