Cu2+‐Chelatable and ROS‐Scavenging MXenzyme as NIR‐II‐Triggered Blood–Brain Barrier‐Crossing Nanocatalyst against Alzheimer's Disease
Source abstract
Abstract
Abstract Transition‐metal dyshomeostasis has been identified as a critical pathogenic factor for the aggregates of amyloid‐beta (Aβ) peptide, which is associated with the onset and progression of Alzheimer's disease (AD). Excessive transition‐metal ions, especially copper ion (Cu2+), catalyze the formation of reactive oxygen species (ROS), triggering neuroinflammation and neuronal cell apoptosis. Therefore, developing a robust chelating agent can not only efficiently bind toxic Cu2+, but also simultaneously scavenge the over‐generated ROS that is urgently needed for AD treatment. In this work, a 2D niobium carbide (Nb2C) MXene‐based nano‐chelator is constructed and its performance in suppressing Cu2+‐induced accumulation of aggregated Aβ peptide and acting as a nanozyme (MXenzyme) with powerful antioxidant property to scavenge excess cellular ROS is explored, and the intrinsic mechanism is revealed by computational simulation. Importantly, the benign photothermal effect of Nb2C MXenzyme demonstrates the facilitated permeability of the blood–brain barrier under near‐infrared laser irradiation, conquering limitations of the most conventional anti‐AD therapeutic agents. This work not only demonstrates a favorable strategy for combating AD by engineering Nb2C MXenzyme‐based neuroprotective nano‐chelator, but also paves a distinct insight for extending the biomedical applications of MXenes in treating transition‐metal dyshomeostasis‐and ROS‐mediated central nervous system diseases.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Nanomaterials in Catalysis · Nanocluster Synthesis and Applications · Nanoplatforms for cancer theranostics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Radiology Huashan Hospital National Center for Neurological Disorders State Key Laboratory of Medical Neurobiology Fudan University Shanghai 200040 P. R. China
Materdicine Lab School of Life Sciences Shanghai University Shanghai 200444 P. R. China
Department of Neurology Huashan Hospital National Center for Neurological Disorders State Key Laboratory of Medical Neurobiology Fudan University Shanghai 200040 P. R. China
Funding
National Natural Science Foundation of China
References (53)
Show source-provided references
1. 10.1016/S0140-6736(17)31363-610.1016/S0140-6736(17)31363-6 ↗
2. 10.1126/science.125555510.1126/science.1255555 ↗
3. 10.7861/clinmedicine.16-3-24710.7861/clinmedicine.16-3-247 ↗
4. 10.1038/nrn296710.1038/nrn2967 ↗
5. 10.1002/anie.20150859710.1002/anie.201508597 ↗
6. 10.1021/acs.jpcb.7b1048010.1021/acs.jpcb.7b10480 ↗
7. 10.1016/j.biomaterials.2014.12.00510.1016/j.biomaterials.2014.12.005 ↗
8. 10.1039/C4CS00138A10.1039/C4CS00138A ↗
9. 10.1002/adma.20090378310.1002/adma.200903783 ↗
10. 10.1002/anie.20110840010.1002/anie.201108400 ↗
11. 10.1007/s12274-011-0147-410.1007/s12274-011-0147-4 ↗
12. 10.1021/nl502641910.1021/nl5026419 ↗
13. 10.1039/C6CS00047A10.1039/C6CS00047A ↗
14. 10.1021/acs.analchem.8b0242810.1021/acs.analchem.8b02428 ↗
15. Jv Y. · ChemComm · 2010 · 46 · 8017
16. 10.1002/anie.20046044610.1002/anie.200460446 ↗
17. 10.1038/nchem.98110.1038/nchem.981 ↗
18. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
19. 10.1039/b919677n10.1039/b919677n ↗
20. 10.1038/nnano.2007.26010.1038/nnano.2007.260 ↗
21. 10.1038/nnano.2012.9110.1038/nnano.2012.91 ↗
22. 10.1021/acsnano.1c0720510.1021/acsnano.1c07205 ↗
23. 10.1002/adma.20200542310.1002/adma.202005423 ↗
24. 10.1021/acsami.8b1854810.1021/acsami.8b18548 ↗
25. 10.1021/jacs.6b1101310.1021/jacs.6b11013 ↗
26. 10.1002/advs.20190312910.1002/advs.201903129 ↗
27. 10.1039/c3cs35486e10.1039/c3cs35486e ↗
28. 10.1002/EXP.2021008610.1002/EXP.20210086 ↗
29. 10.1038/s41467-021-22278-x10.1038/s41467-021-22278-x ↗
30. 10.1002/EXP.2021011510.1002/EXP.20210115 ↗
31. 10.1038/nrd72510.1038/nrd725 ↗
32. 10.1021/nn506408v10.1021/nn506408v ↗
33. 10.1016/j.jconrel.2006.05.03110.1016/j.jconrel.2006.05.031 ↗
34. 10.1016/j.biomaterials.2011.09.09610.1016/j.biomaterials.2011.09.096 ↗
35. 10.1002/adma.20170345810.1002/adma.201703458 ↗
36. 10.1126/sciadv.abc703110.1126/sciadv.abc7031 ↗
37. Xu Q. · ChemComm · 2020 · 56 · 6648
38. 10.1021/jacs.5b1357710.1021/jacs.5b13577 ↗
39. 10.1021/jacs.8b1185610.1021/jacs.8b11856 ↗
40. Mu X. · ACS Nano · 2019 · 13 · 1870
41. 10.1021/acsnano.9b0507510.1021/acsnano.9b05075 ↗
42. 10.1159/00047953710.1159/000479537 ↗
43. 10.2147/OTT.S26217410.2147/OTT.S262174 ↗
44. 10.1016/j.cell.2016.07.03110.1016/j.cell.2016.07.031 ↗
45. 10.1186/s40478-016-0327-210.1186/s40478-016-0327-2 ↗
46. 10.1038/nature0898310.1038/nature08983 ↗
47. 10.1038/nature2514310.1038/nature25143 ↗
48. Chen F. Z. · Int. J. Mol. Med. · 2019 · 43 · 91
49. 10.1186/s12859-018-2177-310.1186/s12859-018-2177-3 ↗
50. 10.1021/jacs.7b0781810.1021/jacs.7b07818 ↗
51. 10.1038/s41467-020-18525-210.1038/s41467-020-18525-2 ↗
52. 10.1002/adfm.20190999910.1002/adfm.201909999 ↗
53. 10.1016/S1474-4422(15)70016-510.1016/S1474-4422(15)70016-5 ↗