journal article·2022-11

A Universal Chemotactic Targeted Delivery Strategy for Inflammatory Diseases

Ting Li, Zhiyong Liu, Jinglei Hu, Lin Chen, Tiantian Chen, Qianqian Tang, Bixia Yu, Bo Zhao, Chun Mao, Mimi Wan

Advanced Materials· Volume 34· Issue 47
Publisher page

Abstract

Abstract Above 50% of deaths can be attributed to chronic inflammatory diseases; thus, the construction of drug delivery systems based on effective interaction of inflammatory factors with chemotactic nanoparticles is meaningful. Herein, a zwitterion‐based artificial chemotactic nanomotor is proposed for universal precise targeting strategy in vivo, where the high level of reactive oxygen species (ROS) and inducible nitric oxide synthase (iNOS) in inflammatory sites are used as a chemoattractant. Multidimensional static models, dynamic models, and in vivo models are established to evaluate chemotactic performance. The results show that the upregulated ROS and iNOS can induce the chemotaxis of nanomotors to diseased tissues in inflammation‐related disease models. Further, mesoscale hydrodynamics simulations are performed to explain the chemotactic behavior of the nanomotors. Such a chemotactic delivery strategy is expected to improve delivery efficiency and may be applicable to a variety of inflammatory diseases.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Micro and Nano Robotics · Molecular Communication and Nanonetworks · Cellular Mechanics and Interactions

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

Affiliations

National and Local Joint Engineering Research Center of Biomedical Functional Materials School of Chemistry and Materials Science Nanjing Normal University Nanjing 210023 China

Kuang Yaming Honors School Nanjing University Nanjing 210023 China

Funding

National Natural Science Foundation of China

References (75)

Show source-provided references
1. 10.1016/j.cell.2010.02.04310.1016/j.cell.2010.02.043 ↗
2. 10.1172/JCI9794310.1172/JCI97943 ↗
3. 10.1016/j.cell.2015.08.06910.1016/j.cell.2015.08.069 ↗
4. 10.1038/nnano.2017.5410.1038/nnano.2017.54 ↗
5. 10.1002/adma.20170624510.1002/adma.201706245 ↗
6. 10.1002/adma.20200359810.1002/adma.202003598 ↗
7. 10.1126/scirobotics.aaz951910.1126/scirobotics.aaz9519 ↗
8. 10.1038/nri339910.1038/nri3399 ↗
9. 10.1155/2016/743279710.1155/2016/7432797 ↗
10. 10.1021/acs.chemrestox.7b0001810.1021/acs.chemrestox.7b00018 ↗
11. 10.1002/jcp.2960710.1002/jcp.29607 ↗
12. 10.1164/ajrccm.158.6.980210010.1164/ajrccm.158.6.9802100 ↗
13. 10.1002/ptr.715210.1002/ptr.7152 ↗
14. 10.1016/j.mrfmmm.2004.05.02210.1016/j.mrfmmm.2004.05.022 ↗
15. 10.1177/15440591040830040810.1177/154405910408300408 ↗
16. 10.1007/s00011005072810.1007/s000110050728 ↗
17. 10.1016/j.it.2015.01.00310.1016/j.it.2015.01.003 ↗
18. 10.1016/j.jinorgbio.2016.03.00210.1016/j.jinorgbio.2016.03.002 ↗
19. 10.1038/nrn221410.1038/nrn2214 ↗
20. Cao Y. · ACS Appl. Mater. Interfaces · 2020 · 12 · 28975
21. 10.1038/s41467-019-08670-810.1038/s41467-019-08670-8 ↗
22. 10.1021/acsami.8b0394310.1021/acsami.8b03943 ↗
23. 10.1002/anie.20210430410.1002/anie.202104304 ↗
24. 10.1016/j.ijpharm.2022.12145810.1016/j.ijpharm.2022.121458 ↗
25. 10.1021/jacs.8b0346010.1021/jacs.8b03460 ↗
26. 10.1021/acs.analchem.9b0118910.1021/acs.analchem.9b01189 ↗
27. 10.1111/j.1365-2567.2010.03303.x10.1111/j.1365-2567.2010.03303.x ↗
28. 10.1016/j.fct.2019.02.02510.1016/j.fct.2019.02.025 ↗
29. 10.1002/anie.20130146010.1002/anie.201301460 ↗
30. 10.1016/j.mvr.2005.07.00210.1016/j.mvr.2005.07.002 ↗
31. 10.1159/00007217310.1159/000072173 ↗
32. 10.1007/s00417-002-0590-810.1007/s00417-002-0590-8 ↗
33. 10.1016/0735-1097(92)90373-U10.1016/0735-1097(92)90373-U ↗
34. 10.1016/j.jconrel.2012.12.01310.1016/j.jconrel.2012.12.013 ↗
35. 10.1016/j.ccell.2020.06.00110.1016/j.ccell.2020.06.001 ↗
36. 10.1038/nrm380110.1038/nrm3801 ↗
37. 10.1038/s41580-020-0230-310.1038/s41580-020-0230-3 ↗
38. 10.1002/adma.20200556210.1002/adma.202005562 ↗
39. 10.1021/ja303372u10.1021/ja303372u ↗
40. 10.1186/s12951-022-01307-x10.1186/s12951-022-01307-x ↗
41. 10.1021/acsnano.0c0101210.1021/acsnano.0c01012 ↗
42. 10.1093/rheumatology/kep31310.1093/rheumatology/kep313 ↗
43. 10.1002/bit.2500710.1002/bit.25007 ↗
44. 10.1007/s10544-014-9876-y10.1007/s10544-014-9876-y ↗
45. 10.1016/j.snb.2015.09.03410.1016/j.snb.2015.09.034 ↗
46. 10.1002/anie.20170657010.1002/anie.201706570 ↗
47. 10.1038/s41467-020-14963-010.1038/s41467-020-14963-0 ↗
48. 10.1002/adbi.20170016010.1002/adbi.201700160 ↗
49. 10.1038/srep2871710.1038/srep28717 ↗
50. 10.1007/s12213-018-0110-510.1007/s12213-018-0110-5 ↗
51. 10.1021/acs.accounts.8b0020210.1021/acs.accounts.8b00202 ↗
52. 10.1038/s41467-020-17775-410.1038/s41467-020-17775-4 ↗
53. 10.1126/scirobotics.aaq115510.1126/scirobotics.aaq1155 ↗
54. 10.1002/adfm.20200276110.1002/adfm.202002761 ↗
55. 10.1002/idm2.1202110.1002/idm2.12021 ↗
56. 10.1002/adfm.20200976510.1002/adfm.202009765 ↗
57. 10.1103/PhysRevLett.99.17810310.1103/PhysRevLett.99.178103 ↗
58. 10.1002/smll.20200273210.1002/smll.202002732 ↗
59. 10.1021/ja806689p10.1021/ja806689p ↗
60. 10.1021/ja900372m10.1021/ja900372m ↗
61. 10.1021/nn405963x10.1021/nn405963x ↗
62. 10.1021/ja908773a10.1021/ja908773a ↗
63. 10.1021/ja309161510.1021/ja3091615 ↗
64. 10.1002/smll.20120231210.1002/smll.201202312 ↗
65. 10.1021/acsbiomaterials.7b0008610.1021/acsbiomaterials.7b00086 ↗
66. 10.1039/D0NR04415F10.1039/D0NR04415F ↗
67. 10.1093/nsr/nwab06610.1093/nsr/nwab066 ↗
68. 10.1002/anie.20190773310.1002/anie.201907733 ↗
69. 10.1126/sciadv.170036210.1126/sciadv.1700362 ↗
70. 10.1002/anie.20150418610.1002/anie.201504186 ↗
71. 10.1002/anie.20200833910.1002/anie.202008339 ↗
72. 10.1038/srep2170110.1038/srep21701 ↗
73. 10.1038/s41565-019-0578-810.1038/s41565-019-0578-8 ↗
74. 10.1021/acs.nanolett.5b0393510.1021/acs.nanolett.5b03935 ↗
75. 10.1038/nrc307810.1038/nrc3078 ↗