ABCA1-mediated cholesterol efflux generates microparticles in addition to HDL through processes governed by membrane rigidity
Bibliographic record
Abstract
ATP-binding cassette transporter A1 (ABCA1) mediates cholesterol efflux to lipid-poor apolipoprotein A-I (apoA-I) and generates HDL. Here, we demonstrate that ABCA1 also directly mediates the production of apoA-I free microparticles. In baby hamster kidney (BHK) cells and RAW macrophages, ABCA1 expression led to lipid efflux in the absence of apoA-I and released large microparticles devoid of apoB and apoE. We provide evidence that these microparticles are an integral component of the classical cholesterol efflux pathway when apoA-I is present and accounted for approximately 30% of the total cholesterol released to the medium. Furthermore, microparticle release required similar ABCA1 activities as was required for HDL production. For instance, a nucleotide binding domain mutation in ABCA1 (A937V) that impaired HDL generation also abolished microparticle release. Similarly, inhibition of protein kinase A (PKA) prevented the release of both types of particles. Interestingly, physical modulation of membrane dynamics affected HDL and microparticle production, rigidifying the plasma membrane with wheat germ agglutinin inhibited HDL and microparticle release, whereas increasing the fluidity promoted the production of these particles. Given the established role of ABCA1 in expending nonraft or more fluid-like membrane domains, our results suggest that both HDL and microparticle release is favored by a more fluid plasma membrane. We speculate that ABCA1 enhances the dynamic movement of the plasma membrane, which is required for apoA-I lipidation and microparticle formation.
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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) | 0.001 | 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".