Atorvastatin Inhibits ABCA1 Expression and Cholesterol Efflux in THP-1 Macrophages by an LXR-dependent Pathway
Bibliographic record
Abstract
The effect of atorvastatin on adenosine triphosphate (ATP)-binding cassette transporter A1 (ABCA1) expression and cholesterol efflux remains controversial. In an effort to clarify this issue, ABCA1 expression and apolipoprotein AI (apoAI)-mediated cholesterol efflux after atorvastatin treatment were investigated in THP-1 macrophages. Atorvastatin from 2 microM to 40 microM dose-dependently inhibited ABCA1 expression in human monocyte-derived macrophages and phorbol 12-myristate 13-acetate (PMA)-stimulated THP-1 monocytes. ApoAI-mediated cholesterol efflux was reduced in PMA-stimulated THP-1 cells treated with atorvastatin, this effect was abolished with acetylated low-density lipoprotein (LDL) pretreatment. Atorvastatin treatment also dose-dependently reduced liver X receptor alpha (LXRalpha) expression and Rho activation. Rho activation by farnysylpyophosphate (FPP) and lysophosphatidic acid (LPA) did not salvage, but further depressed, the cholesterol efflux and ABCA1 expression in the presence of atorvastatin. Without atorvastatin, Rho activation by mevalonate, FPP, and LPA diminished apoAI-mediated cholesterol efflux, and Rho activation by GTPgammaS also decreased ABCA1 messenger ribonucleic acid (mRNA) by 16%. Furthermore, Rho inhibition by C3 exoenzyme increased ABCA1 mRNA by 48% despite a 17% decrease in apoAI-mediated cholesterol efflux. LXRalpha agonists (T01901317 and 22(R)-hydroxycholesterol) prevented any reductions in cholesterol efflux or ABCA1 expression associated with atorvastatin treatment. Furthermore, Western blot analysis demonstrated the reciprocal inhibition of Rho and LXRalpha. In conclusion, atorvastatin decreases ABCA1 expression in noncholesterol-loaded macrophages in an LXRalpha- but not Rho-dependent pathway; this effect can be compromised after acetylated LDL cholesterol loading.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".