| Literature DB >> 32194989 |
Pelin Golforoush1, Michael D Schneider1.
Abstract
Successful drug discovery is ultimately contingent on the availability of workable, relevant, predictive model systems. Conversely, for cardiac muscle, the lack of human preclinical models to inform target validation and compound development has likely contributed to the perennial problem of clinical trial failures, despite encouraging non-human results. By contrast, human cardiomyocytes produced from pluripotent stem cell models have recently been applied to safety pharmacology, phenotypic screening, target validation and high-throughput assays, facilitating cardiac drug discovery. Here, we review the impact of human pluripotent stem cell models in cardiac drug discovery, discussing the range of applications, readouts, and disease models employed, along with the challenges and prospects to advance this fruitful mode of research further.Entities:
Keywords: Drug development; Stem-cell biotechnology
Year: 2020 PMID: 32194989 PMCID: PMC7060343 DOI: 10.1038/s41536-020-0090-7
Source DB: PubMed Journal: NPJ Regen Med ISSN: 2057-3995
Fig. 1Lost decade: a moribund cardiac drug discovery pipeline.
Shown, by year, are the cumulative US Food and Drug Administration NME approvals for cancer chemotherapy (consistently, 20–25% of the total approvals each year), compared with the paucity of new drugs targeting cardiac muscle[110]. See text for details.
Fig. 2Enhancing cardiac drug discovery in hPSC-CMs.
Diverse cardiac disorders have been successfully modeled in hPSC-CMs, beyond merely the patient-specific mutations for which this technology was first used, with broad applicability now demonstrated for the widespread, acquired forms of human heart disease. Concurrently, the readouts relevant to cardiac drug development have expanded beyond the arrhythmias first studied, to encompass the full spectrum of molecular and functional cardiomyocyte phenotypes including mechanical performance, energetics, myocyte formation, and myocyte loss. The impact on drug development has been manifested initially through more predictive safety pharmacology (including the improved profiling of non-cardiac drugs) and through human preclinical studies of approved agents, toward novel applications. In the development of novel agents, hPSC-CMs can augment not only target-based approaches, as platforms for validation by gene silencing and the investigation of new chemical series, but also as a human substrate for mechanistically agnostic, phenotype-driven screens. Diverse approaches promote cardiomyocyte maturation and fidelity to the adult human heart itself, which remains an acknowledged limitation of these models.
Summary of representative studies using hPSC-derived cardiomyocytes to enhance cardiac drug development.
| Objective | Design | Readouts | Comments | Refs. |
|---|---|---|---|---|
| Safety pharmacology | Hoffman-La Roche: 28 compounds | MEAs, impedance | Improved accuracy over hERG screening | [ |
| Safety pharmacology | GSK: 10 compounds | MEAs | Concurred with rabbit ventricular wedge | [ |
| Safety pharmacology | J&J: 20 compounds | MEAs | 90% accuracy for known toxicities | [ |
| Safety pharmacology | Quintiles: 24 compounds | Impedance, cell number, cTnI, ROS, lipid acumulation | [ | |
| Safety pharmacology | AZ: 51 compounds | Intracellular Ca2+, edge detection | 87% sensitivity, 70% specificity | [ |
| Safety pharmacology | CiPA: 28 compound screen, 10-site study | MEAs, voltage-sensitive dye | Blinded, AUC 0.87 | [ |
| Safety pharmacology | JiCSA: 60 compounds | MEAs | Marker of risk for onset of Torsade de pointes | [ |
| Safety pharmacology | CRACK IT InPulse | Contractility, metabolic maturation | Substrate microarrays, EHT | [ |
| Safety pharmacology | HER2-targeted liposomal DOX | DOX uptake, viability, apoptosis | Phase 2: no efficacy against breast cancer | [ |
| Long QT syndrome | Protein chaperone to fix hERG trafficking | MEAs | Successfully advanced to first-in-human study | [ |
| Coxsackie B myocarditis | 4 known anti-virals | CVB3-luc | CAR expression 30× lower than in adult LV | [ |
| Cardiac hypertrophy | ET-1-induced hypertrophy | BNP (hypertrophy), nuclear count (toxicity) | 384-well format | [ |
| Diabetic cardiomyopathy | Phenotype-driven screen | BNP, sarcomere integrity, Ca2+ transients, impedance, electrophysiology | Protective compounds identified | [ |
| Cardiotoxicity | Protocols to derive & analyze hPSC-CMs | Imaging viability and contractility | Development of “cardiac safety index” | [ |
| Cardiotoxicity | TKI-induced toxicity: 21 compounds | Viability, contractility, Ca2+ transients; RTK phosphorylation | Protection by IGF1 or insulin | [ |
| Cardiotoxicity | DOX-induced toxicity; | Viability, ΔΨm, ROS, [Ca2+]i, DNA damage, MEAs, RNA-seq | Role of | [ |
| Cardiotoxicity | TKI-induced and DOX-induced toxicity | RNA-seq, mass spec, mitochondrial function, metabolomics | TKIs disrupt metabolism; DOX induces DNA damage | [ |
| Cardiomyocyte survival | Genetic & small molecule inhibitors of MAP4K4 | Viability, apoptosis, Ca2+ cycling, mitochondrial function, force generation | Protection in 2D & 3D culture; reduced infarct size in mice | [ |
| Cardiomyocyte survival | Phenotype-driven HTS | Viability, expression of cardioprotective genes | HO-1 correlates with myocyte protection | [ |
| Cardiomyocyte proliferation | Phenotype-driven HTS | High-throughput proteomics, RNA-seq | Pro-proliferative compounds identified | [ |