Abstract 207: Autophagy Is Differentially Regulated In Leukocyte And Nonleukocyte Foam Cells During Atherosclerosis
Bibliographic record
Abstract
Atherosclerosis is characterized by a build-up of foam cells in the arterial wall, resulting from excess cholesterol uptake and accumulation of cytosolic lipid droplets (LDs). Autophagy has been shown to be atheroprotective in part by promoting the catabolism of LDs which liberates free cholesterol for efflux out of foam cells to cholesterol acceptors (ApoA-I or HDL) for removal from the body. Apart from macrophages (MΦ), vascular smooth muscle cells (VSMCs) comprise 50-70% of foam cells in the plaques. Unlike MΦ, the capacity of VSMC foam cells to metabolize cholesterol via autophagy is unknown. Here, we performed a comparative analysis of the autophagic capacity and cholesterol efflux of arterial foam cell subtypes of the atherosclerotic plaque. Atherosclerosis was induced in hypercholesterolemic autophagy reporter mice (GFP-LC3 mice receiving PCSK9-AAV and fed a Western diet). Autophagic flux in aortic digests was assessed by quantifying GFP-LC3 fluorescence after ex vivo treatment with the autophagy inhibitor Bafilomycin A1 or vehicle. MΦ foam cells displayed functional autophagy as shown by an accumulation of GFP-LC3 upon autophagy inhibition. In contrast, VSMC foam cells did not similarly accumulate GFP-LC3 upon bafilomycin treatment, suggesting dysfunction autophagy in these cells. Additionally, immunostaining of late-stage aortic roots showed MΦ, but not VSMC, foam cells induction of the active autophagy marker pATG16L1. Cell culture studies of lipid loaded MΦ and VSMC corroborated this inability for VSMCs to initiate autophagy in vivo . In vitro , MΦ foam cells effluxed cholesterol to ApoA-I (14%) and HDL (50%), whereas VSMC foam cells minimally effluxed cholesterol to HDL (7%) but not apoA-I. However, unlike MΦ foam cells, VSMC efflux was pharmacologically induced by treatment with metformin. Our data therefore demonstrates a lack of functional autophagy in VSMC, as compared to MΦ foam cells, which impairs their ability to perform cholesterol efflux. This autophagy defect in VSMC foam cells can be increased by autophagy activation using metformin, highlighting both the importance of understanding cholesterol metabolism in all foam cell populations and a new avenue to treat atherosclerosis.
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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) | 0.000 | 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 | 0.000 |
| 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".