Abstract 4343799: Genetically informed drug targeting of ryanodine receptor type 2 identifies new precision therapeutic candidates for catecholaminergic polymorphic ventricular tachycardia
Bibliographic record
Abstract
Background: Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a rare inherited disorder that is triggered by a catecholaminergic release, causing ventricular tachycardia and even sudden cardiac death (SCD). Current medical management is non-specific and ineffective. Hypothesis: Leveraging the underlying genetic cause of CPVT will allow us to identify precision therapeutic modalities. Goal: This project aimed to create a pipeline for utilizing population genomic modeling to drive a precision approach to targeting RyR2, the molecule central to SCD development in CPVT. Methods: Pathogenic variants were mapped onto the 3D structure of RyR2. A binding pocket candidacy score chart of finding and ranking binding pockets was created. A top binding pocket was chosen based on the score chart and areas of pathogenicity. Utilizing Maestro software, the top binding pocket was screened for small molecules from two different libraries. The top 4 compounds were selected and applied to wild-type and CPVT-associated RYR2-R176Q induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM WT and iPSC-CM RQ , respectively) in a dose response manner and intracellular calcium imaging performed using Cal-520. Intracardiac electrophysiology studies were performed on RyR2 mice and number of VT events were observed pre- and post- injection of lead compound. Results: Population genomic analysis identified the RyR2 pore region with a top binding pocket within the channel and central domain of RyR2. Four compounds predicted to bind and inhibit abnormal RyR2 opening all decreased abnormal calcium leak in iPSC-CM RQ with minimal effects on iPSC-CM WT . These molecules had minimal impact “off target” effects on calcium transient generation and calcium cycling in control iPSC-CMs. Early findings reveal the lead compound picked reduced sustained- and NSVT events to 0 in a RyR2 mouse. Conclusions: We were able to take a genetically informed approach of utilizing pathogenic hotspots as a method of determining binding pockets on RyR2. This specified approach identified 4 compounds which suppressed RyR2-mediated calcium. This pipeline shows promise in developing precision therapies for CPVT.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".