Pseudocapacitive Charge‐Driven Adhesive‐Electrocoupling Hydrogels for Myocardial Infarction Repair via Interstitial Microenvironment Remodeling
Abstract
ABSTRACT Myocardial infarction (MI) creates a hostile microenvironment characterized by oxidative stress, inflammation, fibrosis, and electrical conduction block, posing a multifaceted challenge for tissue repair. To address this, we developed a multifunctional hydrogel (Gel‐PDZC), through an artificial neural network (ANN)‐guided optimization process, incorporating nanoparticles comprising a ZIF‐8@CaO 2 core for sustained oxygen release, a polydopamine (PDA) interlayer for adhesion and antioxidant activity, and a conductive poly(3,4‐ethylenedioxythiophene) (PEDOT) shell. The hydrogel exhibits a unique “adhesion‐electrocoupling” effect, where robust tissue adhesion facilitates a pseudocapacitive charge injection mechanism. This not only enables active electrical intervention in the avascular scar but also leverages the endogenous myocardial electric field to restore the hydrogel's antioxidant properties. In a rat MI model, the Gel‐PDZC hydrogel comprehensively remodeled the myocardial interstitial microenvironment. It alleviated hypoxia, reduced oxidative stress and apoptosis, suppressed pro‐inflammatory C‐C motif chemokine receptor 2 (CCR2 + ) macrophages recruitment and promoted electrical coupling between resident CCR2 − macrophages and cardiomyocytes (CMs), inhibited fibroblast‐to‐myofibroblast transition via the PI3K/AKT pathway, and stimulated angiogenesis. These coordinated cellular and molecular changes translated into substantial functional recovery, evidenced by restored epicardial electrical propagation, improved electromechanical coupling, and a significant increase in cardiac function. Our findings demonstrate that this ANN‐optimized, adhesive‐electrocoupling hydrogel provides a comprehensive and synergistic solution for repairing the infarcted heart.
Article Details
Authors (13)
Shengxi Jiang
Department of Neurology Institute of Neuroscience The Second Affiliated Hospital Guangzhou Medical University Guangzhou China
Huijia Nong
Department of Neurology Institute of Neuroscience The Second Affiliated Hospital Guangzhou Medical University Guangzhou China
Chen Song
Center for Quantitative Biology
Yujia Zheng
Peiji Yang
Huabin Liu
Institute of Biomedical Engineering College of Medicine Southwest Jiaotong University Chengdu China
Dongyi Feng
Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China The Second Affiliated Hospital Guangzhou Medical University Guangzhou China
Yuhuizi Han
Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China The Second Affiliated Hospital Guangzhou Medical University Guangzhou China
Mohan Wang
Lili Jiang
Xiong Lu
Chaoming Xie
Leyu Wang
State Key Laboratory of Chemical Resource Engineering, College of Chemistry