Abstract
An ideal strategy for integrated melanoma treatment involves the pursuit of multifunctional biomaterials that possess adjuvant therapy functions,enabling full-scale postoperative relapse prevention,wound heal-ing,and real-time postoperative surveillance.The simulation of electronic skin(e-skin),which emulates the mechanical properties and functions of natural skin,holds significant potential for broad biomedi-cal applications.Herein,a novel multi-responsive controlled-release e-skin(PADM-MX-Ag-Si@Dox)was developed using natural porcine dermal matrix,MXene nanosheets,silver nanowires(AgNWs),and mesoporous hollow silica microspheres(TSOHSiO2@Dox)for drug-loading.The resulting e-skin exhibited temperature-,pH-,and electric-responsiveness due to the incorporation of TSOHSiO2@Dox microspheres,which allowed for on-demand controlled-release of Dox.The biomimetic structure of porcine acellular dermal matrix(PADM)can significantly accelerate the wound healing process under the synergistic effect of electrical stimulation(ES).PADM-MX-Ag-Si@Dox has demonstrated remarkable antimicrobial and elec-trophysiological activities,thereby establishing a robust basis for enhancing wound healing and facilitat-ing real-time postoperative tumor surveillance.Extensive in vitro and in vivo investigations have substan-tiated that the combined utilization of PADM-MX-Ag-Si@Dox and ES results in a proactive amalgamation of melanoma postoperative relapse prevention,wound healing,and real-time postoperative surveillance,thereby establishing a potent therapeutic approach for postoperative cancer adjuvant therapy and paving the way for novel precision medical care.
基金项目
National Natural Science Foundation of China(22278257)
National Natural Science Foundation of China(21804084)
Key Research and the Development Program of Shaanxi Province(2022GY-272)
Scientific Research Plan Projects of the Shaanxi Education Department(22JY013)
Young Talent Support Program Project of Shaanxi University of Science and Technology Association(20200424)
NETL
NSTL
万方数据