Relationship between tissue damage and heme oxygenase expression in chorionic villi of term human placenta
Bibliographic record
Abstract
Heme oxygenase (HO) catalyzes the oxidation of heme to carbon monoxide (CO), biliverdin, and iron and is thought to play a role in protecting tissues from oxidative damage. There are three isoforms of HO: HO-1 (inducible), HO-2 (constitutive), and HO-3 (unknown function). Preeclampsia is characterized by an inadequately perfused placenta and areas of tissue damage. We hypothesized that damaged areas of placentas from women with PE and uncomplicated pregnancies are associated with an alteration in HO expression. Compared with microsomes isolated from morphologically normal and peri-infarct chorionic villi of pathological placentas, microsomes from infarcted chorionic villi from the same placentas had decreased HO activity measured under optimized assay conditions. There was no correlation between microsomal HO levels and activity and tissue damage in uncomplicated pregnancies. Whereas there was no significant difference in HO-1 protein levels across all regions of uncomplicated and mildly preeclamptic pregnancies, HO-2 protein levels were decreased (P < 0.05) in peri-infarct regions and infarcted chorionic villi of mildly preeclamptic pregnancies. Immunohistochemical analysis revealed an apparent decrease in both HO-1 and HO-2 protein expression in damaged tissues. HO-1 and HO-2 were immunolocalized in the syncytiotrophoblast layer of the chorionic villi, the underlying cytotrophoblast, and in the vascular endothelium. This study suggests that the ability of the chorionic villi to oxidize heme to CO, biliverdin, and iron may be compromised in areas of tissue damage in the placenta of women with preeclampsia.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".