journal article·2024-02-07

Enzyme-Responsive Modular Peptides Enhance Tumor Penetration of Quantum Dots via Charge Reversal Strategy

Qiuju Dai, Zhen Du, Lihong Jing, Rongchun Zhang, Wen Tang

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Abstract

Quantum dots (QDs) are colloidal semiconductor nanoparticles acting as fluorescent probes for detection, disease diagnosis, and photothermal and photodynamic therapy. However, their performance in cancer treatment is limited by inadequate tumor accumulation and penetration due to the larger size of nanoparticles compared to small molecules. To address this challenge, charge reversal nanoparticles offer an effective strategy to prolong blood circulation time and achieve enhanced endocytosis and tumor penetration. In this study, we leveraged the overexpressed γ-glutamyl transpeptidase (GGT) in many human tumors and developed a library of modular peptides to serve as water-soluble surface ligands of QDs. We successfully transferred the QDs from the organic phase to the aqueous phase within 5 min. And through systematic tuning of the peptide sequence, we optimized the fluorescent stability of QDs and their charge reversal behavior in response to GGT. The resulting optimal peptide stabilized QDs in aqueous solution with a high fluorescent retention rate of 93% after three months and realized the surface charge reversal of QDs triggered by GGT in vitro. The binding between the peptide and QD surface was investigated by using saturation transfer differential nuclear magnetic resonance (STD NMR). Thanks to its charge reversal ability, the GGT-responsive QDs exhibited enhanced cellular uptake in GGT-expressing cancer cells and deeper penetration in the 3D multicellular spheroids. This enzyme-responsive modular peptide can lead to specific tumor targeting and deeper tumor penetration, holding great promise to enhance the treatment efficacy of QD-based theranostics.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Quantum Dots Synthesis And Properties · Nanocluster Synthesis and Applications · Nanoplatforms for cancer theranostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

South China Advanced Institute for Soft Matter Science and Technology, School of Molecular Science and Engineering, South China University of Technology, Guangzhou 510640, China

Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices, South China University of Technology, Guangzhou 510640, China

Key Laboratory of Colloid, Interface and Chemical Thermodynamics, Institute of Chemistry, Chinese Academy of Sciences, Bei Yi Jie 2, Zhong Guan Cun, Beijing 100190, China

Funding

Youth Innovation Promotion Association of the Chinese Academy of Sciences · National Natural Science Foundation of China · Natural Science Foundation of Guangdong Province · Key Laboratory of Polymer Materials Design and Synthesis of Biomedical Functions Oriented to the Petroleum and Chemical Industry, Soochow University

References (52)

Show source-provided references
1. 10.1016/j.trac.2019.11575010.1016/j.trac.2019.115750 ↗
2. 10.1016/j.jphotochemrev.2017.01.00210.1016/j.jphotochemrev.2017.01.002 ↗
3. 10.1021/acsnano.1c0139910.1021/acsnano.1c01399 ↗
4. 10.1002/adma.20170635610.1002/adma.201706356 ↗
5. 10.1039/D0CS00461H10.1039/D0CS00461H ↗
6. 10.1021/acsnano.2c0115310.1021/acsnano.2c01153 ↗
7. 10.1039/C8CS00618K10.1039/C8CS00618K ↗
8. 10.1021/nn900663r10.1021/nn900663r ↗
9. 10.1007/s41061-020-0296-610.1007/s41061-020-0296-6 ↗
10. 10.1039/D1TB00729G10.1039/D1TB00729G ↗
11. 10.1021/acsabm.0c0147810.1021/acsabm.0c01478 ↗
12. 10.1021/acsnano.7b0308810.1021/acsnano.7b03088 ↗
13. 10.1021/acs.nanolett.8b0324910.1021/acs.nanolett.8b03249 ↗
14. 10.1021/acs.chemrev.8b0073310.1021/acs.chemrev.8b00733 ↗
15. 10.1016/j.cis.2014.11.00410.1016/j.cis.2014.11.004 ↗
16. 10.1021/acs.chemrev.6b0003010.1021/acs.chemrev.6b00030 ↗
17. 10.1021/nn400702r10.1021/nn400702r ↗
18. 10.1039/C7NR03362A10.1039/C7NR03362A ↗
19. 10.1016/j.nantod.2014.10.00310.1016/j.nantod.2014.10.003 ↗
20. 10.1002/smll.20090115810.1002/smll.200901158 ↗
21. 10.1002/smll.20110000110.1002/smll.201100001 ↗
22. 10.1002/advs.20200258910.1002/advs.202002589 ↗
23. 10.1016/j.jconrel.2019.12.02410.1016/j.jconrel.2019.12.024 ↗
24. 10.1002/wnan.151910.1002/wnan.1519 ↗
25. 10.1016/j.mattod.2017.02.00610.1016/j.mattod.2017.02.006 ↗
26. 10.1021/acs.chemrev.5b0004910.1021/acs.chemrev.5b00049 ↗
27. 10.1016/j.giant.2021.10008210.1016/j.giant.2021.100082 ↗
28. 10.1126/science.110427410.1126/science.1104274 ↗
29. 10.1021/jp046828f10.1021/jp046828f ↗
30. 10.1002/smll.20060051610.1002/smll.200600516 ↗
31. 10.1016/j.colsurfb.2016.05.04110.1016/j.colsurfb.2016.05.041 ↗
32. 10.1002/adhm.20120021010.1002/adhm.201200210 ↗
33. 10.1111/jnc.1520010.1111/jnc.15200 ↗
34. 10.1039/b808207c10.1039/b808207c ↗
35. 10.1021/acs.nanolett.2c0305210.1021/acs.nanolett.2c03052 ↗
36. 10.1021/acs.biomac.7b0088710.1021/acs.biomac.7b00887 ↗
37. 10.1016/j.bios.2019.11149710.1016/j.bios.2019.111497 ↗
38. 10.1002/(SICI)1097-0142(20000215)88:4<761::AID-CNCR5>3.0.CO;2-510.1002/(SICI)1097-0142(20000215)88:4<761::AID-CNCR5>3.0.CO;2-5 ↗
39. 10.1038/s41565-019-0485-z10.1038/s41565-019-0485-z ↗
40. 10.1016/0022-2836(82)90515-010.1016/0022-2836(82)90515-0 ↗
41. 10.1021/acs.chemmater.7b0125810.1021/acs.chemmater.7b01258 ↗
42. 10.1021/jp306453y10.1021/jp306453y ↗
43. 10.1021/cm034081k10.1021/cm034081k ↗
44. 10.1002/anie.20140573510.1002/anie.201405735 ↗
45. 10.1021/acsnano.0c0102110.1021/acsnano.0c01021 ↗
46. 10.1021/la301186n10.1021/la301186n ↗
47. 10.1021/acs.chemrev.6b0004110.1021/acs.chemrev.6b00041 ↗
48. Zhang, R., Miyoshi, T., Sun, P., Eds. NMR Methods for Characterization of Synthetic and Natural Polymers; Royal Society of Chemistry: London, 2019; pp 25–35.10.1039/9781788016483 ↗
49. 10.1021/acs.jpcb.6b0326010.1021/acs.jpcb.6b03260 ↗
50. 10.1021/acsami.5b1125810.1021/acsami.5b11258 ↗
51. 10.1021/acs.bioconjchem.1c0054610.1021/acs.bioconjchem.1c00546 ↗
52. 10.1021/jacs.2c1203210.1021/jacs.2c12032 ↗