Design of Self-Assembled Nanoparticles as a Potent Inhibitor and Fluorescent Probe for β-Amyloid Fibrillization
Source abstract
Abstract
Alzheimer’s disease (AD) remains incurable due to its complex pathogenesis. The deposition of β-amyloid (Aβ) in the brain appears much earlier than any clinical symptoms and plays an essential role in the occurrence and development of AD neuropathology, which implies the importance of early theranostics. Herein, we designed a self-assembled bifunctional nanoparticle (LC8-pCG-fLC8) for Aβ fluorescent diagnosis and inhibition. The nanoparticle was synthesized by click chemistry from Aβ-targeting peptide Ac-LVFFARKC-NH 2 (LC8) and an Aβ fluorescent probe f with the zwitterionic copolymer poly(carboxybetaine methacrylate-glycidyl methacrylate) (p(CBMA-GMA), pCG). Owing to the high reactivity of epoxy groups, the peptide concentration of LC8-pCG-fLC8 nanoparticles reached about 4 times higher than that of the existing inhibitor LVFFARK@poly(carboxybetaine) (LK7@pCB). LC8-pCG-fLC8 exhibited remarkable inhibitory capability (suppression efficiency of 83.0% at 20 μM), altered the aggregation pathway of Aβ, and increased the survival rate of amyloid-induced cultured cells from 76.5% to 98.0% at 20 μM. Notably, LC8-pCG-fLC8 possessed excellent binding affinity, good biostability, and high fluorescence responsivity to β-sheet-rich Aβ oligomers and fibrils, which could be used for the early diagnosis of Aβ aggregation. More importantly, in vivo tests using transgenic C. elegans CL2006 stain showed that LC8-pCG-fLC8 could specifically image Aβ plaques, prolong the lifespan (from 13 to 17 days), and attenuate the AD-like symptoms (reducing paralysis and Aβ deposition). Therefore, self-assembled nanoparticles hold great potential in AD theranostics.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Alzheimer's disease research and treatments · Supramolecular Self-Assembly in Materials · Cholinesterase and Neurodegenerative Diseases
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biochemical Engineering, School of Chemical Engineering and Technology and Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300350, China
Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine, Institute of Radiation Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China
Funding
National Natural Science Foundation of China
References (77)
Show source-provided references
1. 10.3390/ijms2404389510.3390/ijms24043895 ↗
2. 10.3389/fnsyn.2023.112903610.3389/fnsyn.2023.1129036 ↗
3. 10.1002/med.2194710.1002/med.21947 ↗
4. 10.1016/S0140-6736(05)62273-810.1016/S0140-6736(05)62273-8 ↗
5. 10.1126/science.107299410.1126/science.1072994 ↗
6. 10.1016/j.arr.2021.10142010.1016/j.arr.2021.101420 ↗
7. 10.1126/science.110585010.1126/science.1105850 ↗
8. 10.1021/acschemneuro.1c0030610.1021/acschemneuro.1c00306 ↗
9. 10.1515/revneuro-2017-006310.1515/revneuro-2017-0063 ↗
10. 10.1126/science.aay019810.1126/science.aay0198 ↗
11. 10.1073/pnas.101703310810.1073/pnas.1017033108 ↗
12. 10.1007/s11481-012-9424-610.1007/s11481-012-9424-6 ↗
13. 10.1021/acsbiomaterials.1c0060510.1021/acsbiomaterials.1c00605 ↗
14. 10.1021/acsami.5b0091510.1021/acsami.5b00915 ↗
15. 10.1016/j.cbpa.2021.05.01110.1016/j.cbpa.2021.05.011 ↗
16. 10.1523/JNEUROSCI.2561-13.201310.1523/JNEUROSCI.2561-13.2013 ↗
17. 10.1039/C9TB02397F10.1039/C9TB02397F ↗
18. 10.1016/j.ijbiomac.2021.08.02810.1016/j.ijbiomac.2021.08.028 ↗
19. 10.1016/j.freeradbiomed.2021.05.01910.1016/j.freeradbiomed.2021.05.019 ↗
20. 10.1002/psc.253510.1002/psc.2535 ↗
21. 10.1021/la050472x10.1021/la050472x ↗
22. 10.1039/D2TB02104H10.1039/D2TB02104H ↗
23. 10.1039/D1TB00920F10.1039/D1TB00920F ↗
24. 10.1021/acs.langmuir.8b0192110.1021/acs.langmuir.8b01921 ↗
25. 10.1038/s41582-018-0116-610.1038/s41582-018-0116-6 ↗
26. 10.1016/j.dyepig.2019.10774410.1016/j.dyepig.2019.107744 ↗
27. 10.1038/aps.2015.15510.1038/aps.2015.155 ↗
28. 10.1002/adfm.20227025610.1002/adfm.202270256 ↗
29. 10.1021/acs.chemrev.9b0040410.1021/acs.chemrev.9b00404 ↗
30. 10.1021/jacs.8b1282010.1021/jacs.8b12820 ↗
31. 10.1021/la800942n10.1021/la800942n ↗
32. 10.1039/C6TB02952C10.1039/C6TB02952C ↗
33. 10.1021/bm301117710.1021/bm3011177 ↗
34. 10.1002/cbic.20070033810.1002/cbic.200700338 ↗
35. 10.3390/pharmaceutics1111057210.3390/pharmaceutics11110572 ↗
36. 10.1021/acs.langmuir.9b0361210.1021/acs.langmuir.9b03612 ↗
37. 10.1016/j.reactfunctpolym.2019.04.00310.1016/j.reactfunctpolym.2019.04.003 ↗
38. 10.1039/D0PY01097A10.1039/D0PY01097A ↗
39. 10.1016/j.bioactmat.2020.11.02410.1016/j.bioactmat.2020.11.024 ↗
40. 10.1021/acsabm.0c0018410.1021/acsabm.0c00184 ↗
41. 10.1016/j.eurpolymj.2013.02.01610.1016/j.eurpolymj.2013.02.016 ↗
42. 10.1016/j.reactfunctpolym.2016.04.01910.1016/j.reactfunctpolym.2016.04.019 ↗
43. 10.1002/cbic.20070042710.1002/cbic.200700427 ↗
44. 10.1021/acs.biochem.7b0020910.1021/acs.biochem.7b00209 ↗
45. 10.1021/acsami.0c0774510.1021/acsami.0c07745 ↗
46. 10.1021/acs.nanolett.1c0273410.1021/acs.nanolett.1c02734 ↗
47. 10.1021/acsabm.0c0029510.1021/acsabm.0c00295 ↗
48. 10.1016/j.neurobiolaging.2019.07.00310.1016/j.neurobiolaging.2019.07.003 ↗
49. 10.1016/j.biomaterials.2020.11984410.1016/j.biomaterials.2020.119844 ↗
50. 10.1016/j.jconrel.2013.12.00710.1016/j.jconrel.2013.12.007 ↗
51. 10.1002/advs.20190155510.1002/advs.201901555 ↗
52. 10.1016/j.colsurfb.2016.07.01610.1016/j.colsurfb.2016.07.016 ↗
53. 10.1016/j.dyepig.2017.07.07110.1016/j.dyepig.2017.07.071 ↗
54. 10.1002/anie.20050084510.1002/anie.200500845 ↗
55. 10.1016/j.ejmech.2019.11158510.1016/j.ejmech.2019.111585 ↗
56. 10.1038/s41467-018-04255-z10.1038/s41467-018-04255-z ↗
57. 10.1126/scitranslmed.300215610.1126/scitranslmed.3002156 ↗
58. 10.1021/acs.nanolett.2c0019110.1021/acs.nanolett.2c00191 ↗
59. 10.1016/j.biomaterials.2019.11964010.1016/j.biomaterials.2019.119640 ↗
60. 10.1021/acssensors.0c0191410.1021/acssensors.0c01914 ↗
61. 10.1016/j.scib.2017.11.00510.1016/j.scib.2017.11.005 ↗
62. 10.1021/acsbiomaterials.6b0057010.1021/acsbiomaterials.6b00570 ↗
63. 10.1016/j.biopha.2021.11157510.1016/j.biopha.2021.111575 ↗
64. 10.1021/jacs.7b0808910.1021/jacs.7b08089 ↗
65. 10.1002/psc.278910.1002/psc.2789 ↗
66. 10.1021/acsomega.0c0206310.1021/acsomega.0c02063 ↗
67. 10.1042/BCJ2018091610.1042/BCJ20180916 ↗
68. 10.1021/cn900027u10.1021/cn900027u ↗
69. 10.1021/acsami.1c0113210.1021/acsami.1c01132 ↗
70. 10.7717/peerj.1091810.7717/peerj.10918 ↗
71. 10.1016/S0167-7012(01)00285-810.1016/S0167-7012(01)00285-8 ↗
72. 10.1016/j.jphotobiol.2012.02.00110.1016/j.jphotobiol.2012.02.001 ↗
73. 10.3389/fnagi.2021.78261710.3389/fnagi.2021.782617 ↗
74. 10.1002/pro.463910.1002/pro.4639 ↗
75. 10.3390/biomedicines1002028810.3390/biomedicines10020288 ↗
76. 10.1186/s12979-019-0150-210.1186/s12979-019-0150-2 ↗
77. 10.1021/acsami.6b0508910.1021/acsami.6b05089 ↗