Source abstract
Abstract
Most of the existing single-component nanostructures cannot provide comprehensive diagnostic information, and their treatment strategies always have to combine other therapeutics as a complementary for effective biomedical application. Here, we adopted a facile approach to design a theranostic nanoflower (NF) with robust efficacy for comprehensive tumor diagnosis and quadruple synergistic cancer therapy. The NF is equipped with a metallic hybrid of several functional elements and flower-like superstructures and thus shows excellent in vitro and in vivo theranostic performance. It shows high X-ray attenuation coefficiency for the Bi element, strong near-infrared (NIR) plasmon absorbance and singlet oxygen (1O2) generation ability for the Mo element, and great photothermal conversion efficiency (54.7%) because of enhanced photoabsorption of the petal structure. Moreover, the NF realizes a very high doxorubicin-loading efficiency (90.0%) and bimodal pH/NIR-responsive drug release, posing a promise as a controlled drug carrier. The NF also shows excellent performance at trimodal magnetic resonance/X-ray computed tomography/photoacoustic imaging for comprehensive tumor diagnosis. To our best knowledge, it is the first time that integrating at least seven functions into one biomedical nanomaterial for well-rounded tumor theranostics has been reported. This “all-in-one” NF opens a new perspective in developing novel and efficient multifunctional nanotheranostics.
Source: openalex_inverted_index · Quality: baseline
Affiliations
College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China
Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, China
School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore
College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, 518118, China
Trauma Center, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, No. 650 Xin Songjiang Road, Shanghai, 201620, China
Funding
Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China