Self-assembling scaffolds epigenetically reactivate and electroactively guide neuronal regeneration to restore central neural circuits
Abstract
Abstract Central nervous system (CNS) injury is a leading cause of death and long-term disability worldwide. Neurological deficits reflect disruption of central neural circuits. A major barrier to circuit repair is the intrinsically low regenerative potential of adult CNS neurons—linked in part to failure of injury-induced nuclear export of class IIa histone deacetylases (notably HDAC5)—together with a hostile post-injury microenvironment. Here we present a multifunctional nanosystem, encapsulating the class IIa HDAC4/5-selective inhibitor LMK-235 and featuring an electroactive polyaniline coating with asymmetrically distributed 5-hydroxytryptamine moieties. Upon reaching the lesion, our nanosystem assembles into large-pore scaffolds that (i) inhibit the activity of nuclear-retained class IIa HDACs in neurons and thereby reactivate intrinsic regenerative programs, (ii) regulate microglial activation to mitigate neuroinflammation, and (iii) provide an electroactive interface promoting activity-dependent synaptic reconnection. This multi-pronged approach illustrates an integrated platform with translational potential for CNS disorders in which circuit disconnection constrains recovery.
Article Details
Authors (25)
Shiqiang Tong
Shuai Ye
Fenfen Ma
Xiaoying Xie
The First Affiliated Hospital of Gannan Medical University Ganzhou China
Yinzhe Sun
Chuchu Ma
Tiantian Shi
Zheng Cheng
Chang Li
Weili Han
Laozhi Xie
Songlei Zhou
Jianing Gong
Chen Huang
Catalonia Institute for Energy Research-IREC, Sant Adrià de Besòs, Barcelona 08930, Spain
Yukun Huang
Gan Jiang
Xiaolin Liu
Department of Chemical and Biomolecular Engineering
Bing Li
Feng Zeng
Jingru Gong
Zhihua Wang
School of Materials Science and Engineering, Tianjin Key Laboratory of Metal and Molecular Materials Chemistry, Frontiers Science Center for New Organic Matter, Nankai University, Tongyan Road 38, Tianjin 300350, P. R. China
Xiaoling Gao
Qiyong Mei
Wei-Guang Li
Jun Chen