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Quantitative Detection of In Vivo Aggregation Degree for Enhanced M2 Macrophage MR Imaging.
Luo, Lu-Jun; Liu, Xiu-Mei; Zhang, Xiao; Liu, Jiao; Gao, Yuanyuan; Sun, Tong-Yi; Li, Li-Li.
  • Luo LJ; CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology (NCNST), No. 11 Beiyitiao, Zhongguancun, Beijing 100190, People's Republic of China.
  • Liu XM; CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology (NCNST), No. 11 Beiyitiao, Zhongguancun, Beijing 100190, People's Republic of China.
  • Zhang X; CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology (NCNST), No. 11 Beiyitiao, Zhongguancun, Beijing 100190, People's Republic of China.
  • Liu J; School of Pharmacy, Weifang Medical University, Weifang 261053, Shandong, People's Republic of China.
  • Gao Y; CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology (NCNST), No. 11 Beiyitiao, Zhongguancun, Beijing 100190, People's Republic of China.
  • Sun TY; School of Pharmacy, Weifang Medical University, Weifang 261053, Shandong, People's Republic of China.
  • Li LL; School of Pharmacy, Weifang Medical University, Weifang 261053, Shandong, People's Republic of China.
Nano Lett ; 22(4): 1694-1702, 2022 02 23.
Article en En | MEDLINE | ID: mdl-35129358
In situ self-assembly in vivo can be used in the enhanced diagnosis and therapy of major diseases such as cancer and bacterial infections on the basis of an assembly/aggregation-induced-retention (AIR) effect. However, the aggregation degree (αagg) is a significant parameter for determining the delivery efficiency to lesions in a complex physiological environment and a real-time quantitative calculation of the aggregation degree in vivo is still a great challenge. Here, we developed a magnetic resonance imaging (MRI) method for sensitive and quantitative calculation of αagg with a detection limit of 10-4 M and a bioactivated in vivo assembly (BIVA) magnetic resonance (MR) probe was optimized for enhanced T1-weighted MR imaging of M2 macrophages in tumors. Our MRI quantitative calculation method had a high fitting degree (R2 = 0.987) with the gold standard fluorescence (FL) method. On the basis of the BIVA mechanism of CD206 active targeting and cathepsin B specific tailoring to induce an in situ nanofiber assembly, our optimized BIVA probe exhibited a high intracellular aggregation degree of over 70% and a high in vivo αagg value of over 55%. Finally, the aggregation-enhanced T1 MR signal and the AIR effect both contributed to enhanced T1-weighted MR imaging of M2 macrophages in triple-negative breast cancer. We believe that our αagg real-time quantitative calculation method of MRI will help to further screen and optimize the in vivo enhanced imaging and treatment of the BIVA drug.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nanofibras / Neoplasias de la Mama Triple Negativas Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nanofibras / Neoplasias de la Mama Triple Negativas Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article