4.8 Article

Central metal-derived co-assembly of biomimetic GdTPP/ZnTPP porphyrin nanocomposites for enhanced dual-modal imaging-guided photodynamic therapy

期刊

BIOMATERIALS
卷 229, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2019.119576

关键词

Co-assembly; Porphyrin; Nanocomposites; Dual-modal imaging; PDT

资金

  1. National Postdoctoral Program for Innovative Talents [BX20180091]
  2. National Natural Science Foundation of China [NSFC 31800841, U1604139]
  3. National Key Technologies R&D Program of China [2018YFA0209800]
  4. China Postdoctoral Science Foundation 64th funded project [2018M640671]

向作者/读者索取更多资源

Dual-modal imaging guided photodynamic therapy (PDT) of multifunctional nanocomposites holds great promise for precision tumor theranostics. However, poor heterogeneous interfacial compatibility between functional components, low hydrophilicity and complicated preparation of nanocomposites remain major obstacles for further bioapplication. Herein, a facile central metal-derived co-assembly strategy is developed to effectively integrate gadolinium porphyrin (GdTPP) contrast agent and Zinc porphyrin (ZnTPP) photosensitizer into a homogeneous GdTPP/ZnTPP nanocomposites (GZNs). GZNs possesses the following advantages: (1) Greatly improved interfacial compatibility facilitated by incorporating two metalporphyrins with same group (phenyl-) and different central metal atoms (Zn and Gd) leading to higher yield (4.7-5 fold) than either monocomponent nanoparticles. (2) Poor dispersity of GdTPP nanoparticles is greatly improved after integrating with ZnTPP blocks. (3) The GZNs inherit excellent fluorescence imaging, high relaxation rate (8.18 mM(-1) s(-1)) and singlet oxygen production from two raw metalporphyrins. After camouflaging with homotypic cancer cell membrane for immunologic escape, the HeLa membrane coated GZNs (mGZNs) show enhanced in vivo MR/FL imaging guided anti-tumor targeting efficiency of 80.6% for HeLa cells. Our new strategy using central metal-derived co-assembly of homogeneous building blocks greatly improves interfacial compatibility to achieve combined functions for visualized cancer theranostics.

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