Abstract 163: Apabetalone (RVX-208) Has Anti-atherosclerotic, Anti-Thrombotic and Anti-Inflammatory Effects in Patients With Cardiovascular Disease (CVD)
Bibliographic record
Abstract
RVX-208 affects epigenetics by inhibiting bromodomain and extraterminal (BET) proteins from binding to their natural ligand, acetyl-lysine marks on histone tails and thereby modulates gene activity. In SUSTAIN and ASSURE phase IIb trials of CVD patients (n=499), giving 200 mg/d of RVX-208 orally lead a 55% relative risk reduction in major adverse cardiovascular events (MACE) vs. placebo. This marked reduction in MACE is unlikely due to RVX-208’s modest induction of ApoA-I/HDL, thus prompting studies of RVX-208 for its benefits beyond lipids. Methods included microarray surveys of human whole blood (WB) or primary hepatocytes (PH) exposed to RVX-208. Cytokines were assayed in U937 macrophage and peripheral blood mononuclear cells (PBMC) exposed to RVX-208. Plasma samples from phase IIb patients were measured using SOMAScan proteomic analysis. Results of the microarray studies using WB showed a potential anti-atherogenic effect of RVX-208 because it suppressed activity of 37/46 pro-atherogenic while inducing 8/18 anti-atherogenic genes. Additionally, RVX-208 had potential anti-thrombotic properties by affecting 18 genes related to platelet function (e.g. downregulation of CD64 and thrombospondin 1). RVX-208 had anti-inflammatory effects on the expression of >25 cytokines including downregulation of MCP-1, osteopontin and PARC genes. The suppression of these 3 genes by RVX-208 was evident in not only WB but also in the LPS stimulated U937 and/or PBMCs. Whether these in vitro findings extended into patients were examined by SOMAScan showing lower levels of osteopontin and PARC protein in plasma of treated patients. Furthermore, a key marker of inflammation RANTES was markedly lowered in treated patients. Why RVX-208 may affect genes connected to CVD was explored by exposing PH to RVX-208. These studies showed a 25% reduction in levels of mRNA encoding flavin mono-oxygenase-3 (FMO3), an enzyme that produces trimethylamine oxide (TMAO) a metabolite which predicts CVD risk. In summary, RVX-208 inhibits BET proteins to impact cellular epigenetics that in turn affects expression of genes with known roles in CVD. This activity may underlie RVX-208’s anti-atherogenic, -thrombotic and –inflammatory effects in reducing MACE observed in clinical trials.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".