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Smart Stimuli-Responsive and Mitochondria Targeting Delivery in Cancer Therapy
| Content Provider | Scilit |
|---|---|
| Author | Huang, Yongjia Wang, Tingting Tan, Qunyou He, Dan Wu, Mingjun Fan, Jingchuan Yang, Jie Zhong, Cailing Li, Kailing Zhang, Jingqing |
| Copyright Year | 2021 |
| Description | Dysfunction in the mitochondria (Mc) contributes to tumor progression. It is a major challenge to deliver therapeutic agents specifically to the Mc for precise treatment. Smart drug delivery systems are based on stimuli-responsiveness and active targeting. Here, we give a whole list of documented pathways to achieve smart stimuli-responsive (St-) and Mc-targeted DDSs (St-Mc-DDSs) by combining St and Mc targeting strategies. We present the formulations, targeting characteristics of St-Mc-DDSs and clarify their anti-cancer mechanisms as well as improvement in efficacy and safety. St-Mc-DDSs usually not only have Mc-targeting groups, molecules (lipophilic cations, peptides, and aptamers) or materials but also sense the surrounding environment and correspondingly respond to internal biostimulators such as pH, redox changes, enzyme and glucose, and/or externally applied triggers such as light, magnet, temperature and ultrasound. St-Mc-DDSs exquisitely control the action site, increase therapeutic efficacy and decrease side effects of the drug. We summarize the clinical research progress and propose suggestions for follow-up research. St-Mc-DDSs may be an innovative and sensitive precision medicine for cancer treatment. |
| Related Links | https://www.dovepress.com/getfile.php?fileID=70554 |
| Ending Page | 4146 |
| Page Count | 30 |
| Starting Page | 4117 |
| e-ISSN | 11782013 |
| DOI | 10.2147/ijn.s315368 |
| Journal | International Journal of Nanomedicine |
| Volume Number | 16 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-06-01 |
| Access Restriction | Open |
| Subject Keyword | Oncology Smart Delivery Stimuli-responsive Mitochondria-targeting Tumor Microenvironment Cancer Therapy |
| Content Type | Text |
| Resource Type | Article |