Sustained Endoplasmic Reticulum Stress as a Cofactor of Oxidative Stress in Decidual Cells from Patients with Early Pregnancy Loss
Bibliographic record
Abstract
BACKGROUND: Oxidative stress is a common pathological background for different etiologies of early pregnancy loss (EPL). It has been suggested that elevated reactive oxygen species trigger endoplasmic reticulum (ER) stress by influencing ER function. However, it is unclear whether ER stress is associated with EPL. OBJECTIVES: The aim of the study was to determine whether and how ER stress occurs during the development of EPL. APPROACHES: Proteomic analysis was performed on decidua from women with EPL, and then ER stress markers, redox status, apoptotic features, and cell viability were analyzed in EPL decidual cells (DCs). RESULTS: EPL decidua were characterized by decreased levels of glucose-regulated protein 78 (GPR78) and valosin-containing protein and burdened with ubiquitinated proteins. Evidence of ER stress-induced apoptosis in EPL DCs was demonstrated by extensive dilation of ER, morphological features of apoptosis, and activation of caspase-4 and caspase-12. Furthermore, H(2)O(2) reduced the viabilities in both EPL and control DCs, whereas EPL DCs were more vulnerable to additional OS challenge than the controls as a result of failed induction of GRP78 expression. The cell survival percentages of DCs were dose-dependently reduced by H(2)O(2) and could be reversed in the presence of vitamin E. This effect was partly mediated by reducing the amount of misfolded proteins rather than regulating GRP78 expression. CONCLUSIONS: The sum of these observations demonstrate for the first time that sustained ER stress occurs in EPL DCs and the potentially vicious relationship between ER stress and oxidative stress is likely to play an important role in the development of EPL.
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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".