Activation of the Unfolded Protein Response Occurs at All Stages of Atherosclerotic Lesion Development in Apolipoprotein E–Deficient Mice
Bibliographic record
Abstract
BACKGROUND: Apoptotic cell death contributes to atherosclerotic lesion instability, rupture, and thrombogenicity. Recent findings suggest that free cholesterol (FC) accumulation in macrophages induces endoplasmic reticulum (ER) stress/unfolded protein response (UPR) and apoptotic cell death; however, it is not known at what stage of lesion development the UPR is induced in macrophages or whether a correlation exists between UPR activation, FC accumulation, and apoptotic cell death. METHODS AND RESULTS: Aortic root sections from apolipoprotein E-deficient (apoE-/-) mice at 9 weeks of age (early-lesion group) or 23 weeks of age (advanced-lesion group) fed a standard chow diet were examined for markers of UPR activation (GRP78, phospho-PERK, CHOP, and TDAG51), apoptotic cell death (TUNEL and cleaved caspase-3), and lipid accumulation (filipin and oil red O). UPR markers were dramatically increased in very early intimal macrophages and in macrophage foam cells from fatty streaks and advanced atherosclerotic lesions. Although accumulation of FC was observed in early-lesion-resident macrophage foam cells, no evidence of apoptotic cell death was observed; however, UPR activation, FC accumulation, and apoptotic cell death were observed in a small percentage of advanced-lesion-resident macrophage foam cells. CONCLUSIONS: UPR activation occurs at all stages of atherosclerotic lesion development. The additional finding that macrophage apoptosis did not correlate with UPR activation and FC accumulation in early-lesion-resident macrophages suggests that activation of other cellular mediators and/or pathways are required for apoptotic cell death.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".