Effects of 2-methoxyestradiol administration in mouse models purported to show signs of preeclampsia and fetal growth restriction
Bibliographic record
Abstract
Plasma concentration of 2-methoxyestradiol (2-ME) and placental expression of catechol-O-methyltransferase(COMT) are elevated in normal pregnancy, but reduced in women with preeclampsia (PE).Women with PE and fetal growth restriction (FGR)exhibit decreased utero-placental blood flow.Catechol-O-methyltransferase knockout mice (COMT -/-) and female CBA/J mice mated with male DBA/2 mice (CBA/J × DBA/2)show many signs of PE during pregnancy and deliver growth-restricted pups.2-ME is known to induce significant vasorelaxation of uterine arteries from pregnant mice.We hypothesized that 2-ME administration during pregnancy will lead to an increase in uterine artery blood flow velocity in COMT -/-and CBA/J × DBA/2 mice and therefore ameliorate PE-like signs and rescue fetal growth in these animal models.Pregnant COMT -/-and their controls (C57BL/6),and CBA/J × DBA/2 and their controls (CBA/J × BALB/c),were injected subcutaneously daily with 10 ng of 2-ME or vehicle (olive oil) from gestational day (GD) 12.5 to 17.5.There was no significant effect of genotype/strain or treatment on maternal blood pressure, uterine artery blood flow velocity or fetal growth.A perturbed phenotype only occurred in the COMT -/-mice in regard to umbilical artery flow velocity, proteinuria and 2-ME levels.Administration of 2-ME led to normalization ofumbilical artery blood flow velocity and proteinuria in COMT -/-mice.The utility of 2-ME in cases of PE and FGR needs to be further explored in PE models that exhibit more severe disease phenotypes.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".