A pH-responsive ultrathin Cu-based nanoplatform for specific photothermal and chemodynamic synergistic therapy. Issue 7 (11th January 2021)

• Record Type: Journal Article
• Authors: Hu, Tingting; Yan, Liang; Wang, Zhengdi; Shen, Weicheng; Liang, Ruizheng; Yan, Dongpeng; Wei, Min
• Is Part Of: Chemical science. Volume 12:Issue 7(2021)
• Page Start: 2594
• Page End: 2603
• Publication Date: 2021-01-11
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d0sc06742c
• Languages: English
• ISSNs: 2041-6520

Abstract

Abstract : A pH-responsive multifunctional nanosystem was synthesized by loading glucose oxidase (GOD) onto CuFe-layered double hydroxide (LDH) nanosheets, which exhibited synchronous acid-enhanced/responsive photothermal and chemodynamic synergistic therapy. Abstract : Noninvasive tumor therapy requires a new generation of bionanomaterials towards sensitive response to the unique tumor microenvironment to achieve accurate and effective treatment. Herein, we have developed a tumor therapy nanoplatform by immobilizing natural glucose oxidase (GOD) onto Cu-based layered double hydroxide (CuFe-LDH) nanosheets, which for the first time integrates acid-enhanced photothermal therapy (PTT), and pH-responsive and heat-facilitated chemodynamic therapy (CDT) simultaneously. As demonstrated by EXAFS and HRTEM, CuFe-LDH nanosheets possess a considerable number of defects caused by different acid conditions, resulting in a significantly acid-enhanced photothermal conversion efficiency (83.2% at pH 5.4 vs. 46.0% at pH 7.4). Moreover, GOD/CuFe-LDH nanosheets can convert a cascade of glucose into hydroxyl radicals (˙OH) under tumor acid conditions, which is validated by a high maximum velocity ( V max = 2.00 × 10 −7 M) and low Michaelis–Menten constant ( K M = 12.01 mM). With the combination of PTT and CDT, the tumor tissue in vivo is almost eliminated with low-dose drug injection (1 mg kg −1 ). Therefore, this novel pH-responsive Cu-based nanoplatform holds great promise in tumor-specific CDT/PTT synergistic therapy.