journal article·2022-05

Enzyme‐Engineered Conjugated Polymer Nanoplatform for Activatable Companion Diagnostics and Multistage Augmented Synergistic Therapy

Jiayingzi Wu, Yafei Zhang, Kejia Jiang, Xiaoyu Wang, Nicholas Thomas Blum, Jing Zhang, Shanshan Jiang, Jing Lin, Peng Huang

Advanced Materials· Volume 34· Issue 18
Publisher page

Abstract

Abstract Companion diagnostics (CDx) provides critical information for precision medicine. However, current CDx is mostly limited to in vitro tests, which cannot accurately evaluate the disease progression and treatment response in real time. To overcome this challenge, herein a glucose oxidase (GOx)‐engineered conjugated polymer (polyaniline, PANI) nanoplatform (denoted as PANITG) is reported for activatable imaging‐based CDx and multistage augmented photothermal/starvation synergistic therapy. PANITG comprises a pH‐activatable conjugated polymer as a photothermal convertor and photoacoustic (PA) emitter, a GOx as a cancer starvation inducer as well as a H2O2 and acid producer, and a H2O2‐cleavable linker as a “switch” for GOx activity. The in vivo PA imaging and photothermal therapy abilities are activated by acidic tumor microenvironment and self‐augmented by the reaction between GOx and glucose. Meanwhile, the photothermal effect will enhance the GOx activity in turn. Such multistage augmentation of the therapeutic effects will facilitate effective cancer management. In addition, the in vivo PA imaging with PANITG reveals the tumor pH level which is correlated to the efficiency of the photothermal therapy and to the catalytic activity of GOx at each stage, enabling real‐time activatable CDx.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Photoacoustic and Ultrasonic Imaging · Advanced Nanomaterials in Catalysis

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

Affiliations

Marshall Laboratory of Biomedical Engineering International Cancer Center Laboratory of Evolutionary Theranostics (LET) School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen 518060 China

Funding

National Natural Science Foundation of China

References (57)

Show source-provided references
1. 10.1038/nbt123410.1038/nbt1234 ↗
2. 10.1038/nrd410110.1038/nrd4101 ↗
3. 10.1016/j.tips.2016.09.00710.1016/j.tips.2016.09.007 ↗
4. 10.1021/acsnano.7b0725210.1021/acsnano.7b07252 ↗
5. 10.1016/j.tranon.2021.10106310.1016/j.tranon.2021.101063 ↗
6. 10.1182/blood-2004-01-017710.1182/blood-2004-01-0177 ↗
7. 10.1126/science.112594910.1126/science.1125949 ↗
8. 10.1038/nmeth.392510.1038/nmeth.3925 ↗
9. 10.1126/science.121621010.1126/science.1216210 ↗
10. 10.1038/nbt107410.1038/nbt1074 ↗
11. 10.1038/nbt83910.1038/nbt839 ↗
12. Pu K. · Nat. Biotechnol. · 2014 · 9 · 233
13. 10.1002/adma.20170340310.1002/adma.201703403 ↗
14. 10.1038/nphoton.2009.15710.1038/nphoton.2009.157 ↗
15. 10.1021/acs.bioconjchem.6b0064110.1021/acs.bioconjchem.6b00641 ↗
16. 10.1016/j.biomaterials.2016.04.04110.1016/j.biomaterials.2016.04.041 ↗
17. 10.1038/nmat381910.1038/nmat3819 ↗
18. 10.1002/adma.20150568110.1002/adma.201505681 ↗
19. 10.1038/s41467-017-00598-110.1038/s41467-017-00598-1 ↗
20. 10.1002/adma.20170750910.1002/adma.201707509 ↗
21. 10.1126/sciadv.abe358810.1126/sciadv.abe3588 ↗
22. 10.1002/anie.20201485210.1002/anie.202014852 ↗
23. 10.1002/anie.20200003510.1002/anie.202000035 ↗
24. 10.1002/anie.20180332110.1002/anie.201803321 ↗
25. 10.1021/jacs.8b1362810.1021/jacs.8b13628 ↗
26. 10.1021/ja104000a10.1021/ja104000a ↗
27. 10.1021/acsnano.9b0141110.1021/acsnano.9b01411 ↗
28. 10.1021/acs.chemmater.7b0107510.1021/acs.chemmater.7b01075 ↗
29. 10.1038/s41557-021-00804-010.1038/s41557-021-00804-0 ↗
30. 10.1089/ars.2006.8.24310.1089/ars.2006.8.243 ↗
31. 10.1021/acs.accounts.9b0056910.1021/acs.accounts.9b00569 ↗
32. 10.1021/cr900236h10.1021/cr900236h ↗
33. 10.1038/s41467-017-00424-810.1038/s41467-017-00424-8 ↗
34. 10.1002/adma.20180591910.1002/adma.201805919 ↗
35. 10.1038/s41467-018-07197-810.1038/s41467-018-07197-8 ↗
36. 10.1126/science.116080910.1126/science.1160809 ↗
37. 10.1126/science.123.3191.30910.1126/science.123.3191.309 ↗
38. 10.1016/j.cell.2008.08.02110.1016/j.cell.2008.08.021 ↗
39. 10.1021/acs.nanolett.7b0138210.1021/acs.nanolett.7b01382 ↗
40. 10.1002/adma.20190040110.1002/adma.201900401 ↗
41. 10.1002/anie.20161068210.1002/anie.201610682 ↗
42. 10.1002/adma.20180832510.1002/adma.201808325 ↗
43. Ke W. · ACS Nano · 2019 · 13 · 2357
44. 10.1002/smll.20190292610.1002/smll.201902926 ↗
45. 10.1002/anie.20131113310.1002/anie.201311133 ↗
46. 10.1002/anie.20170827310.1002/anie.201708273 ↗
47. 10.1021/acsnano.8b0758410.1021/acsnano.8b07584 ↗
48. 10.1038/s41573-020-0090-810.1038/s41573-020-0090-8 ↗
49. 10.1039/C7FD00042A10.1039/C7FD00042A ↗
50. 10.1002/anie.20170096810.1002/anie.201700968 ↗
51. 10.1038/nprot.2011.35110.1038/nprot.2011.351 ↗
52. 10.1038/s41589-020-0591-010.1038/s41589-020-0591-0 ↗
53. 10.1002/anie.20100507510.1002/anie.201005075 ↗
54. 10.1021/acs.accounts.0c0048610.1021/acs.accounts.0c00486 ↗
55. 10.1002/anie.20201441510.1002/anie.202014415 ↗
56. 10.1103/PhysRevB.54.918010.1103/PhysRevB.54.9180 ↗
57. 10.1038/nmeth.148310.1038/nmeth.1483 ↗