Specific recognition of ion channel blocker by high-content cardiomyocyte electromechanical integrated correlation

Cardiac arrhythmia and drug-induced cardiotoxicity seriously threaten the human life. To develop antiarrhythmic agents and prevent the drug-induced cardiotoxicity, it is demanded to explore the high-specificity and high-efficiency drug screening platforms for preclinical investigations. Here, a specific electromechanical integrated correlation (EMIC) model was established based on the synchronized signal recording of cardiomyocyte-based biosensing system. The cardiomyocyte-based biosensing system consists of an integrated electromechanical device and a synchronized recording instrument. By extracting the feature points and correlation information of both electrical and mechanical signals, the multi-parameters of EMIC are applied for the drug recognition, showing the good specificity to analyze the typical Na⁺, K⁺, Ca²⁺ channel blockers. Further, visualized analysis of EMIC parameters was performed using the extracted parameters of synchronized recording signals to present the drug specific recognition functions. By heat map, radar map, and principal component analysis (PCA), the specific features and patterns were intuitively displayed to achieve the drug recognition. We believe this high-content and high-specific drug recognition strategy will be a promising and alternative method for the preclinical screening of cardiac safety and drug development in biomedical fields.