Oxidative stress influences cholesterol efflux in THP-1 macrophages: Role of ATP-binding cassette A1 and nuclear factors☆
Post-publication record
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Bibliographic record
Abstract
OBJECTIVES: Understanding the mechanisms involved in oxidative stress-induced foam cell formation is of fundamental importance for atherosclerosis. Our aim was to characterize the effects of oxidative stress on key receptors of macrophage cholesterol homeostasis, on the nuclear transcription factors PPAR and LXR regulating their expression, and on macrophage cholesterol handling. METHODS AND RESULTS: The incubation of macrophages derived from the human monocyte cell line THP-1 with iron (100 microm)/ascorbate (1000 microm) for a period of 4 h induced a strong peroxidation, as demonstrated by the elevation of malondialdehyde (220%, P < 0.001). The production of lipid peroxidation affected cholesterol efflux, which was probably due to decreased ABCAI gene and protein expression. On the other hand, cholesterol influx remained unchanged as did the mRNA and protein levels of SR-BI and CD36, important protein receptors that participate in cholesterol import. Experiments using RT-PCR showed that the ABCAI modulation was orchestrated by the nuclear receptors LXRalpha, LXRbeta, PPARalpha, and PPARgamma. Treatment with powerful antioxidants (Trolox and BHT) prevented the adverse effects of iron-ascorbate on cholesterol movement, conceivably supporting the role of oxidative stress. CONCLUSION: Our results show that oxidative stress can directly be induced in macrophages and concomitantly impairs the expression of receptors involved in cholesterol flux, which could influence foam cell formation and atherosclerosis development.
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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) | 0.002 | 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".