Tracheal Targeted Nanogrid Delivery Systems of Dexamethasone Visualized by Single-Particle Tracing and Multiscale Pathological Mapping.

Journal: ACS nano
Published Date:

Abstract

Current clinical treatment of pulmonary diseases requires an advanced three-dimensional (3D) pathological atlas of the microenvironment, particularly the trachea, which is predominantly affected by lung disorders. In this study, the gridded cyclodextrin cross-links (GCC) exhibited enzymatic activities and served as a metal-free nanozyme. A specific biodistribution of GCC nanogrid around the trachea had been observed using a fluorescence micro-optical sectioning tomography system. The effective loading of dexamethasone (DEX) allowed for the construction of DEX@GCC nanogrid system, which exhibited a sustained-release profile and a preferable lung targeting . Additionally, DEX@GCC demonstrated improved efficacy in treating lipopolysaccharide-induced bronchitis of mice at lower dosages compared with the positive control. A 3D pathological assessment based on the micro-optical sectioning tomography system and high-content data analysis with machine learning validated the superiority of the GCC nanogrid for identifying inflammatory cells, quantifying tracheal wall thickness, and virtual endoscopy. In conclusion, the tracheal localization and ROS-responsive behaviors of the GCC nanogrid provide a cross-scale visualization strategy for evaluating nanoparticle biodistribution and advancing pulmonary disease treatment.

Authors

  • Zeying Cao
    Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
  • Shilin Zhou
    Lingang Laboratory, Shanghai 201602, China.
  • YanLi Zhao
    Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.
  • Qian Wu
    China Electric Power Research Institute, Beijing, China.
  • Chenxi Huang
    Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.
  • Qin Nie
    Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
  • Ting Xiong
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Xiaoxu Hao
    Lingang Laboratory, Shanghai 201602, China.
  • Shuo Zhang
    Ph.D. Program in Computer Science, The City University of New York, New York, NY, United States.
  • Haojie Bao
    Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
  • Caifen Wang
    Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
  • Zongneng Xie
    Lingang Laboratory, Shanghai 201602, China.
  • Jiwen Zhang
    b Key Laboratory of Botanical Pesticide R&D in Shaanxi Province , Northwest A&F University , Yangling , People's Republic of China.
  • Xianzhen Yin
    Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.