Abstract 602: High-Density Lipoprotein Protects Macrophages Against Apoptosis Through BH3-only Bcl-2 Family Member Bim
Bibliographic record
Abstract
Macrophage apoptosis contributes to the formation of necrotic cores within atherosclerotic lesions, increasing the susceptibility of atherosclerotic plaques to rupture and the risk of cardiovascular events. In advanced atherosclerotic plaques, lipid-laden foam cells are exposed to a diverse number of apoptosis inducers, including prolonged endoplasmic reticulum (ER) stress. The pro-apoptotic BH3-only protein Bim has been reported to mediate apoptosis in response to ER stress induction in a variety of cells including macrophages. Treatment of macrophages with high-density lipoprotein (HDL) protects them against apoptosis induced by a variety of stressors. We hypothesize that HDL mediated protection against macrophage apoptosis occurs via pathways that regulate Bim activity. To test this, thioglycollate-elicted peritoneal macrophages were treated in lipoprotein deficient culture with different apoptosis inducers in the absence or presence of HDL. Cell apoptosis was assessed by cleaved caspase 3 staining and terminal deoxynucleotidal transferase dUTP nick end labeling. Treatment of mouse peritoneal macrophages in culture with 50μg/ml of human HDL protected against apoptosis induced by tunicamycin (P<0.05) without affecting ER stress markers, Grp78, Grp94 and CHOP. Peritoneal macrophages from mice deficient in Bim were less susceptible to apoptosis induced by treatment with either tunicamycin or 7-ketocholesterol. Furthermore, treatment with HDL provided no additional protection to apoptosis in Bim KO macrophages. Our results suggest that protection of macrophage apoptosis by HDL is regulated through pathways involving the activity of BH3-only Bcl-2 family member Bim.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".