Abstract 316: Paraoxonase 1 (PON1) Promotes the Cholesterol Efflux and Regulates the Reverse Cholesterol Transport (RCT)
Bibliographic record
Abstract
Paraoxonase 1 (PON1) is a High Density Lipoprotein (HDL) associated enzyme which contributes to the antioxidant and anti-inflammatory properties of HDL. It also stimulates cholesterol efflux mediated by HDL. The purpose of this study is to determine the mechanism by which PON1 regulates this antiatherogenic activity of HDL. The oxidized phospholipids hydrolysis by PON1 results in the formation of Lysophosphatidylcholine (LPC). The phospholipase PON1 activity effect on the cholesterol efflux and the gene and protein expression were determined in vitro on J774 macrophages cells and was also determined in vivo on C57/BL6 male mice. Our results show that due to its phospholipase activity, PON1 hydrolyzes oxidized LDL (oxLDL) and contributes to the formation of LPC, which stimulates cholesterol efflux from macrophages. Our results show that PON1 induced the expression of ABCA1 cholesterol transporters. Western blot as well as qPCR analysis show that PON1 stimulate PPARγ and LXRα nuclear receptors expression. Moreover, the use of ABCA1, PPARγ and LXRα inhibitors (respectively DIDS, GGPP and GW9662) affects the capacity of PON1 to stimulate cholesterol efflux, in particular by decreasing the proteins expression of interest (ABCA1, PPARγ and LXRα). Incubation of macrophages with purified LPC with macrophages induces a high expression of PPARγ-LXRα-ABCA1 pathway. Incubation of macrophages with PON1-oxLDL mixture and their injection to mice increase significantly the reverse cholesterol transport. Our results show that tPON1 stimulate both cholesterol efflux and RCT. via the regulation of the PPARγ-LXRα-ABCA1 pathway. This effect is attributed to the phospholipase activity of PON1 which mediates the hydrolysis of ox-LDL to form LPC.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".