journal article·2023-08

Ultrasound‐Triggered Cascade Amplification of Nanotherapy

Fan Zhuang, Huijing Xiang, Beijian Huang, Yu Chen

Advanced Materials· Volume 35· Issue 33
Publisher page

Abstract

Abstract Ultrasound (US)‐triggered cascade amplification of nanotherapies has attracted considerable attention as an effective strategy for cancer treatment. With the remarkable advances in materials chemistry and nanotechnology, a large number of well‐designed nanosystems have emerged that incorporate presupposed cascade amplification processes and can be activated to trigger therapies such as chemotherapy, immunotherapy, and ferroptosis, under exogenous US stimulation or specific substances generated by US actuation, to maximize antitumor efficacy and minimize detrimental effects. Therefore, summarizing the corresponding nanotherapies and applications based on US‐triggered cascade amplification is essential. This review comprehensively summarizes and highlights the recent advances in the design of intelligent modalities, consisting of unique components, distinctive properties, and specific cascade processes. These ingenious strategies confer unparalleled potential to nanotherapies based on ultrasound‐triggered cascade amplification and provide superior controllability, thus overcoming the unmet requirements of precision medicine and personalized treatment. Finally, the challenges and prospects of this emerging strategy are discussed and it is expected to encourage more innovative ideas and promote their further development.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Nanoparticle-Based Drug Delivery · Extracellular vesicles in disease

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

Affiliations

Department of Ultrasound Zhongshan Hospital Fudan University and Shanghai Institute of Medical Imaging Shanghai 200032 P. R. China

Institute of Medical Ultrasound and Engineering Fudan University Shanghai 200032 P. R. China

Materdicine Lab School of Life Sciences Shanghai University Shanghai 200444 P. R. China

Funding

National Natural Science Foundation of China · Shanghai Shuguang Program

References (100+)

Show source-provided references
1. 10.3322/caac.2155110.3322/caac.21551 ↗
2. 10.1002/adma.20200321410.1002/adma.202003214 ↗
3. 10.1158/1078-0432.CCR-16-087010.1158/1078-0432.CCR-16-0870 ↗
4. 10.1016/j.cell.2011.09.02410.1016/j.cell.2011.09.024 ↗
5. 10.1039/C8CS00001H10.1039/C8CS00001H ↗
6. 10.1039/C8CS00618K10.1039/C8CS00618K ↗
7. 10.1039/D0CS00607F10.1039/D0CS00607F ↗
8. 10.1038/nature1262610.1038/nature12626 ↗
9. 10.1016/j.cell.2010.03.01510.1016/j.cell.2010.03.015 ↗
10. 10.1038/nrc306410.1038/nrc3064 ↗
11. 10.1211/jpp.59.11.001310.1211/jpp.59.11.0013 ↗
12. 10.1039/C6CS00592F10.1039/C6CS00592F ↗
13. 10.1039/C7CS00471K10.1039/C7CS00471K ↗
14. 10.1039/C6CS00271D10.1039/C6CS00271D ↗
15. 10.1016/j.biomaterials.2019.04.02310.1016/j.biomaterials.2019.04.023 ↗
16. 10.1038/nature0773310.1038/nature07733 ↗
17. 10.1038/nrd280310.1038/nrd2803 ↗
18. 10.7150/thno.3395810.7150/thno.33958 ↗
19. 10.1021/jacs.6b1184610.1021/jacs.6b11846 ↗
20. 10.1021/acs.chemrev.7b0025810.1021/acs.chemrev.7b00258 ↗
21. 10.1002/anie.20180784410.1002/anie.201807844 ↗
22. Pang X. · ACS Nano · 2019 · 13 · 2427
23. 10.1002/adma.20170615010.1002/adma.201706150 ↗
24. 10.1021/acsnano.7b0656010.1021/acsnano.7b06560 ↗
25. 10.1021/acsnano.1c0950510.1021/acsnano.1c09505 ↗
26. 10.1016/j.biomaterials.2019.11963610.1016/j.biomaterials.2019.119636 ↗
27. 10.1021/acsnano.1c0750410.1021/acsnano.1c07504 ↗
28. 10.1002/advs.20200467010.1002/advs.202004670 ↗
29. 10.1002/smll.20210656810.1002/smll.202106568 ↗
30. 10.1002/anie.20190988010.1002/anie.201909880 ↗
31. 10.1039/C9CS00648F10.1039/C9CS00648F ↗
32. 10.1021/acsnano.1c0750410.1021/acsnano.1c07504 ↗
33. 10.1002/adma.20170142910.1002/adma.201701429 ↗
34. 10.1021/acsnano.7b0822510.1021/acsnano.7b08225 ↗
35. 10.1021/acsnano.8b0099910.1021/acsnano.8b00999 ↗
36. 10.1021/acsnano.1c0003310.1021/acsnano.1c00033 ↗
37. 10.1021/acsnano.0c0654110.1021/acsnano.0c06541 ↗
38. 10.1002/adma.20180200610.1002/adma.201802006 ↗
39. 10.1002/anie.20190588410.1002/anie.201905884 ↗
40. 10.1021/jacs.0c0249710.1021/jacs.0c02497 ↗
41. 10.1002/anie.20190675810.1002/anie.201906758 ↗
42. 10.1002/adma.20200529510.1002/adma.202005295 ↗
43. 10.1021/acsnano.1c0061610.1021/acsnano.1c00616 ↗
44. 10.1021/acsnano.9b0866710.1021/acsnano.9b08667 ↗
45. 10.1021/acs.accounts.9b0013610.1021/acs.accounts.9b00136 ↗
46. 10.1021/acs.accounts.8b0021410.1021/acs.accounts.8b00214 ↗
47. 10.1002/adma.20200689210.1002/adma.202006892 ↗
48. 10.1021/acsnano.8b0763510.1021/acsnano.8b07635 ↗
49. 10.1021/acs.chemrev.8b0062610.1021/acs.chemrev.8b00626 ↗
50. 10.1002/smll.20210716010.1002/smll.202107160 ↗
51. 10.1021/acsnano.0c0523510.1021/acsnano.0c05235 ↗
52. 10.1002/adfm.20190795410.1002/adfm.201907954 ↗
53. 10.1002/adma.20210033310.1002/adma.202100333 ↗
54. 10.1021/acsnano.9b0868610.1021/acsnano.9b08686 ↗
55. 10.1002/anie.20180566410.1002/anie.201805664 ↗
56. 10.1021/acs.accounts.8b0049010.1021/acs.accounts.8b00490 ↗
57. 10.1021/acs.accounts.0c0056410.1021/acs.accounts.0c00564 ↗
58. 10.1021/acsnano.1c0183010.1021/acsnano.1c01830 ↗
59. 10.1002/anie.20191276810.1002/anie.201912768 ↗
60. 10.3322/caac.2119910.3322/caac.21199 ↗
61. 10.1038/s41565-021-00950-z10.1038/s41565-021-00950-z ↗
62. 10.3322/caac.2120410.3322/caac.21204 ↗
63. 10.3322/caac.2134110.3322/caac.21341 ↗
64. 10.1002/adma.20130312310.1002/adma.201303123 ↗
65. 10.1016/j.bioactmat.2021.12.00210.1016/j.bioactmat.2021.12.002 ↗
66. 10.1002/smtd.20200041610.1002/smtd.202000416 ↗
67. 10.1002/anie.20180488210.1002/anie.201804882 ↗
68. 10.1021/acsnano.8b0595010.1021/acsnano.8b05950 ↗
69. 10.1002/anie.20200838610.1002/anie.202008386 ↗
70. 10.1002/anie.20201511610.1002/anie.202015116 ↗
71. 10.1002/adfm.20220154210.1002/adfm.202201542 ↗
72. 10.1016/j.cell.2011.02.01310.1016/j.cell.2011.02.013 ↗
73. 10.1021/acsnano.0c0383310.1021/acsnano.0c03833 ↗
74. 10.1021/acsnano.1c0861910.1021/acsnano.1c08619 ↗
75. 10.1002/smll.20200572810.1002/smll.202005728 ↗
76. 10.7150/thno.6486210.7150/thno.64862 ↗
77. 10.1016/j.biomaterials.2020.12063610.1016/j.biomaterials.2020.120636 ↗
78. 10.1016/j.biomaterials.2022.12146610.1016/j.biomaterials.2022.121466 ↗
79. 10.1038/s41467-019-09760-310.1038/s41467-019-09760-3 ↗
80. 10.1016/j.cmet.2019.06.00110.1016/j.cmet.2019.06.001 ↗
81. 10.1038/s41467-020-20723-x10.1038/s41467-020-20723-x ↗
82. 10.1136/gutjnl-2018-31632410.1136/gutjnl-2018-316324 ↗
83. 10.15252/emmm.20180934210.15252/emmm.201809342 ↗
84. 10.1002/smll.20190374610.1002/smll.201903746 ↗
85. 10.1021/acsnano.8b0281310.1021/acsnano.8b02813 ↗
86. 10.1021/acsnano.1c0802610.1021/acsnano.1c08026 ↗
87. 10.1002/anie.20210270310.1002/anie.202102703 ↗
88. 10.1016/S0140-6736(16)32517-X10.1016/S0140-6736(16)32517-X ↗
89. 10.1056/NEJMoa161368310.1056/NEJMoa1613683 ↗
90. 10.1056/NEJMoa171694810.1056/NEJMoa1716948 ↗
91. 10.1016/S0140-6736(16)32455-210.1016/S0140-6736(16)32455-2 ↗
92. 10.1038/nrc.2016.1610.1038/nrc.2016.16 ↗
93. 10.1038/nri.2017.14010.1038/nri.2017.140 ↗
94. 10.1038/nature2475910.1038/nature24759 ↗
95. 10.1038/nature2550110.1038/nature25501 ↗
96. 10.1038/s41423-020-0488-610.1038/s41423-020-0488-6 ↗
97. 10.1158/1078-0432.CCR-17-226710.1158/1078-0432.CCR-17-2267 ↗
98. 10.1038/nature0973710.1038/nature09737 ↗
99. 10.1016/j.nantod.2021.10119510.1016/j.nantod.2021.101195 ↗
100. 10.1148/radiol.1009069910.1148/radiol.10090699 ↗