Cluster of Differentiation-44-Targeting Prussian Blue Nanoparticles Onloaded with Colchicine for Atherosclerotic Plaque Regression in a Mice Model
Source abstract
Abstract
Atherosclerosis management heavily relies on the suppression of the inflammatory response of macrophages. Colchicine's potent anti-inflammatory properties make it a promising candidate for secondary prevention against cardiovascular disease. However, its high toxicity and numerous adverse effects limit its clinical use. To address this, there is an urgent need for specific drug delivery systems to boost the level of accumulation of colchicine within atherosclerotic plaques. In this study, the cluster of differentiation-44 receptor was verified to be overexpressed in inflammatory macrophages within plaques both in vitro and in vivo. Subsequently, a Prussian blue-based nanomedical loading system with hyaluronic acid (HA) coating was constructed, and its effects were observed on the atherosclerosis regression. Colchicine and Cy5.5 were encapsulated within Prussian blue nanoparticles through self-assembly, followed by conjugation with hyaluronic acid to create col@PBNP@HA. The formulated col@PBNP@HA displayed a cubic shape and scattered distribution. Importantly, col@PBNP@HA demonstrated specific cellular uptake into lipopolysaccharide-stimulated macrophages. In vitro experiments showed that col@PBNP@HA more effectively inhibited expression of inflammatory factors and scavenged reactive oxygen species compared with the control group, which were treated with colchicine. Furthermore, col@PBNP@HA exhibited its specific and higher accumulation in aortic plaque analysis via fluorescence imaging of aortas. After 4 weeks, administration of col@PBNP@HA resulted in significant atherosclerosis regression in the mice model, with therapeutic effects superior to those of free colchicine. Similar to colchicine, col@PBNP@HA inhibited the secretion of inflammation factors and scavenged ROS through the regulation of the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (Myd88)/nuclear factor kappa-B (NF-κB) and peroxisome proliferator-activated receptor-gamma coactivator-1α (PGC-1α) signaling pathway. In summary, col@PBNP@HA demonstrated specific targeting ability to inflammatory plaques and exerted beneficial effects on atherosclerosis regression through TLR4/Myd88/NF-κB and PGC-1α modulation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Atherosclerosis and Cardiovascular Diseases · Advanced Nanomaterials in Catalysis · Nanoplatforms for cancer theranostics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Medicine, Nankai University, Tianjin 300071, China
Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China
Funding
Ministry of Science and Technology of the People's Republic of China · National Natural Science Foundation of China · National Clinical Research Center for Geriatric Diseases
References (58)
Show source-provided references
1. 10.3390/pharmaceutics1309145210.3390/pharmaceutics13091452 ↗
2. 10.1186/s12889-021-11412-510.1186/s12889-021-11412-5 ↗
3. 10.3390/ijms2106209710.3390/ijms21062097 ↗
4. 10.1016/j.jtbi.2019.07.00310.1016/j.jtbi.2019.07.003 ↗
5. 10.1093/ehjci/jeac16710.1093/ehjci/jeac167 ↗
6. 10.1038/s41419-021-03544-810.1038/s41419-021-03544-8 ↗
7. 10.1093/cvr/cvz16610.1093/cvr/cvz166 ↗
8. 10.1016/j.jacc.2012.10.02710.1016/j.jacc.2012.10.027 ↗
9. 10.1016/j.biopha.2022.11346110.1016/j.biopha.2022.113461 ↗
10. 10.1016/j.tcm.2020.10.00710.1016/j.tcm.2020.10.007 ↗
11. 10.1111/ajd.1279510.1111/ajd.12795 ↗
12. 10.2459/JCM.000000000000115710.2459/JCM.0000000000001157 ↗
13. 10.1016/j.bioadv.2023.21338310.1016/j.bioadv.2023.213383 ↗
14. 10.1080/10717544.2022.211147910.1080/10717544.2022.2111479 ↗
15. 10.1016/j.jconrel.2022.10.00710.1016/j.jconrel.2022.10.007 ↗
16. 10.1002/advs.20220241610.1002/advs.202202416 ↗
17. 10.1039/D2TB02617A10.1039/D2TB02617A ↗
18. 10.1016/j.nano.2023.10267210.1016/j.nano.2023.102672 ↗
19. 10.1016/j.matbio.2018.05.00710.1016/j.matbio.2018.05.007 ↗
20. 10.1016/j.biomaterials.2015.02.08910.1016/j.biomaterials.2015.02.089 ↗
21. 10.1186/s12974-016-0701-910.1186/s12974-016-0701-9 ↗
22. 10.3390/ph1507076910.3390/ph15070769 ↗
23. 10.1002/adhm.20180034710.1002/adhm.201800347 ↗
24. 10.1016/j.carbpol.2023.12088410.1016/j.carbpol.2023.120884 ↗
25. 10.1016/j.ijbiomac.2022.10.11710.1016/j.ijbiomac.2022.10.117 ↗
26. 10.1021/acsami.8b0138710.1021/acsami.8b01387 ↗
27. 10.1021/acsbiomaterials.3c0032710.1021/acsbiomaterials.3c00327 ↗
28. 10.1021/acsbiomaterials.2c0150010.1021/acsbiomaterials.2c01500 ↗
29. 10.1016/j.bioadv.2022.21311510.1016/j.bioadv.2022.213115 ↗
30. 10.1021/acsnano.2c0555810.1021/acsnano.2c05558 ↗
31. 10.3390/ijms22241362410.3390/ijms222413624 ↗
32. 10.1016/j.jconrel.2014.10.01210.1016/j.jconrel.2014.10.012 ↗
33. 10.1016/j.ijbiomac.2023.12346310.1016/j.ijbiomac.2023.123463 ↗
34. 10.1016/j.jconrel.2021.01.03310.1016/j.jconrel.2021.01.033 ↗
35. 10.3390/polym1415321710.3390/polym14153217 ↗
36. 10.3390/pharmaceutics1412284610.3390/pharmaceutics14122846 ↗
37. 10.1039/C4TB00876F10.1039/C4TB00876F ↗
38. 10.1096/fj.202201469R10.1096/fj.202201469R ↗
39. 10.1016/j.jconrel.2021.12.02110.1016/j.jconrel.2021.12.021 ↗
40. 10.1021/mp200042810.1021/mp2000428 ↗
41. 10.1002/adhm.20210178810.1002/adhm.202101788 ↗
42. 10.1002/smll.20220324010.1002/smll.202203240 ↗
43. 10.1186/s12951-021-00897-210.1186/s12951-021-00897-2 ↗
44. 10.1021/acsnano.3c0142010.1021/acsnano.3c01420 ↗
45. 10.1515/hsz-2018-039710.1515/hsz-2018-0397 ↗
46. 10.1080/21655979.2021.201608510.1080/21655979.2021.2016085 ↗
47. 10.1080/10408398.2020.182227710.1080/10408398.2020.1822277 ↗
48. 10.1089/ars.2012.514910.1089/ars.2012.5149 ↗
49. 10.1038/nbt.333010.1038/nbt.3330 ↗
50. 10.3389/fnagi.2022.87911410.3389/fnagi.2022.879114 ↗
51. 10.3389/fbioe.2023.120575110.3389/fbioe.2023.1205751 ↗
52. 10.1038/icb.2015.2610.1038/icb.2015.26 ↗
53. 10.3390/cells903058410.3390/cells9030584 ↗
54. 10.7150/thno.6470610.7150/thno.64706 ↗
55. 10.1016/j.intimp.2023.11037010.1016/j.intimp.2023.110370 ↗
56. 10.1038/s41401-021-00835-w10.1038/s41401-021-00835-w ↗
57. 10.1007/s10557-021-07239-210.1007/s10557-021-07239-2 ↗
58. 10.1016/j.cellsig.2013.06.00710.1016/j.cellsig.2013.06.007 ↗