A traceable, GSH/pH dual-responsive nanoparticles with spatiotemporally controlled multiple drugs release ability to enhance antitumor efficacy
Source abstract
Abstract
Constructing highly efficient and multifunctional nanoparticles to overcome the multiple challenges of targeted drug delivery is a new strategy urgently needed in tumor therapy. Here, we synthesized pH-responsive prodrug (PEG2K-NH-N-DOX), GSH-responsive prodrug (PEG2K-S-S-CPT), folate-receptor targeting polymers (FA-PEG2K-L8, FA-PEG2K-TOS) and T1-enhanced magnetic resonance imaging contrast agents (Gd-DTPA-N16-16), used to encapsulate combrestatinA4 (CA4) to prepare multifunctional nanoparticles (FTDCAG NPs). Unlike other nanoparticles, FTDCAG NPs contains three drugs with the ability to control the release in time and space, which can maximize the effectiveness of precise cancer chemotherapy. We first confirmed that specific binding between FTDCAG NPs and overexpressed folate-receptor cells by flow cytometry and confocal laser scanning microscopy. We then investigated the spatiotemporally controlled release ability of FTDCAG NPs loaded with doxorubicin (DOX), CA4 and camptothecin (CPT). Relative to pH = 7.4, the release efficiency of CA4 in the pH = 6.5 increased by 63.4 %. The first released CA4 is able to destroy the angiogenesis and help tumor cells to be exposed to the remaining FTDCG NPs. After being internalized into the tumor cells, FTDCG NPs is disassembled and the CPT and DOX were released due to the increase of intracellular GSH concentration and the decrease of pH value. Besides, the relaxation time of FTDCAG NPs is 3.86 times that of clinical Gd-DTPA, and the in vitro and vivo T1-weighted imaging is brighter, which can be used to trace the nanoparticles by MRI. Therefore, FTDCAG NPs provide an efficient strategy for the design of multifunctional drug delivery systems for enhancing antitumor efficacy.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Nanoparticle-Based Drug Delivery · Nanoplatforms for cancer theranostics · Graphene and Nanomaterials Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
Show source-provided references
1. Hao · J. Mater. Chem. B · 2019 · 7 · 674210.1039/C9TB01400D ↗
2. Vakilinezhad · Colloids Surf. B Biointerfaces · 2019 · 18410.1016/j.colsurfb.2019.110515 ↗
3. Yu · Theranostics · 2019 · 9 · 703310.7150/thno.35748 ↗
4. Wang · J. Control. Release · 2016 · 232 · 16110.1016/j.jconrel.2016.04.015 ↗
5. Zhan · Biomater. Sci. · 2020 · 8 · 931
6. Yang · Biomaterials · 2018 · 176 · 110.1016/j.biomaterials.2018.05.033 ↗
7. Sun · Nano Lett. · 2018 · 18 · 364310.1021/acs.nanolett.8b00737 ↗
8. Yang · Adv. Funct. Mater. · 2019 · 29
9. Su · Biomater. Sci. · 2019 · 7 · 821
10. Qu · J. Mater Chem. B. · 2019 · 7 · 712910.1039/C9TB01773A ↗
11. Zhou · Nanomedicine · 2019 · 20
12. Sun · Mater. Chem. Front. · 2020 · 4
13. Liang · Adv. Funct. Mater. · 2021
14. Zhang · Small · 2018 · 14
15. Ding · Carbohyd. Polym. · 2020 · 24510.1016/j.carbpol.2020.116493 ↗
16. Dong · ACS Appl. Mater. Inter. · 2019 · 11 · 874010.1021/acsami.8b16363 ↗
17. Li · Adv. Funct. Mater. · 2017 · 27
18. Liu · Nanoscale · 2014 · 6 · 323110.1039/c3nr05647c ↗
19. Zhao · ACS Nano · 2019 · 13 · 664710.1021/acsnano.9b00972 ↗
20. Li · Macromol. Mater. Eng. · 2018 · 30310.1002/mame.201870033 ↗
21. Li · Biomater. Sci. · 2019 · 7 · 327710.1039/C9BM00425D ↗
22. Li · Biomaterials · 2020 · 234
23. Camacho · J. Control. Release · 2015 · 210 · 19810.1016/j.jconrel.2015.04.031 ↗
24. Li · Acta Biomater. · 2015 · 15 · 19110.1016/j.actbio.2014.12.013 ↗
25. Li · ACS Appl. Mater. Inter. · 2013 · 5 · 799510.1021/am402082d ↗
26. Wang · Mol. Pharmaceut. · 2018 · 15 · 572810.1021/acs.molpharmaceut.8b00881 ↗
27. Pommier · Nat. Rev. Cancer · 2006 · 6 · 78910.1038/nrc1977 ↗
28. Zhang · ACS Nano · 2017 · 11 · 883810.1021/acsnano.7b03003 ↗
29. Lu · Adv. Funct. Mater. · 2017 · 27
30. Zheng · J. Med. Chem. · 2014 · 57 · 336910.1021/jm500002k ↗
31. Pei · Carbohyd. Polym. · 2018 · 183 · 13110.1016/j.carbpol.2017.12.013 ↗
32. Duan · Nanoscale · 2019 · 11 · 18510.1039/C8NR06957C ↗
33. Hu · Acta Biomater. · 2016 · 36 · 24110.1016/j.actbio.2016.03.027 ↗
34. Laskar · Nanoscale · 2019 · 11 · 2005810.1039/C9NR07254C ↗
35. Bao · Mol. Pharmaceut. · 2014 · 11 · 319610.1021/mp500384d ↗
36. Huang · ACS Biomater. Sci. Eng. · 2017 · 3
37. Dai · Chem. Mater. · 2017 · 29 · 697610.1021/acs.chemmater.7b02513 ↗
38. Fang · J. Mol. Liq. · 2018 · 268 · 7710.1016/j.molliq.2018.07.004 ↗
39. Li · Mater. Sci. Eng. C · 2017 · 73 · 18910.1016/j.msec.2016.12.067 ↗