journal article·2022-05-18

Oxytocin Nanogels Inhibit Innate Inflammatory Response for Early Intervention in Alzheimer’s Disease

Caihua Ye, Meng Cheng, Lin Ma, Tianzhu Zhang, Zuhao Sun, Chunshui Yu, Junping Wang, Yan Dou

ACS Applied Materials & Interfaces· Volume 14· Issue 19
Publisher page

Abstract

Prevention of Alzheimer’s disease (AD) is a global imperative, but reliable early interventions are currently lacking. Microglia-mediated chronic neuroinflammation is thought to occur in the early stage of AD and plays a critical role in AD pathogenesis. Here, oxytocin (OT)-loaded angiopep-2-modified chitosan nanogels (AOC NGs) were designed for early treatment of AD via inhibiting innate inflammatory response. Through the effective transcytosis of angiopep-2, AOC NGs were driven intravenously to cross the blood-brain barrier, enter the brain, and enrich in brain areas affected by AD. A large amount of OT was then released and specifically bound to the pathological upregulated OT receptor, thus effectively inhibiting microglial activation and reducing inflammatory cytokine levels through blocking the ERK/p38 MAPK and COX-2/iNOS NF-κB signaling pathways. Consecutive weekly intravenous administration of AOC NGs into 12-week-old young APP/PS1 mice, representing the early stage of AD, remarkably slowed the progression of Aβ deposition and neuronal apoptosis in the APP/PS1 mice as they aged and ultimately prevented cognitive impairment and delayed hippocampal atrophy. Together, the findings suggest that AOC NGs, which show good biosafety, can serve as a promising therapeutic candidate to combat neuroinflammation for early prevention of AD.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Neuroinflammation and Neurodegeneration Mechanisms · Neuroendocrine regulation and behavior · Alzheimer's disease research and treatments

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

Affiliations

Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, P. R. China

Funding

National Natural Science Foundation of China · Tianjin Key Medical Discipline (Specialty) Construction Project

References (62)

Show source-provided references
1. 10.1016/j.cell.2019.09.00110.1016/j.cell.2019.09.001 ↗
2. 10.1038/s41572-021-00269-y10.1038/s41572-021-00269-y ↗
3. 10.3389/fnins.2019.0065910.3389/fnins.2019.00659 ↗
4. 10.1155/2020/538034610.1155/2020/5380346 ↗
5. 10.3978/j.issn.2305-5839.2015.03.4910.3978/j.issn.2305-5839.2015.03.49 ↗
6. 10.1111/jnc.1341110.1111/jnc.13411 ↗
7. 10.1038/nri.2017.12510.1038/nri.2017.125 ↗
8. 10.1093/brain/awv06610.1093/brain/awv066 ↗
9. 10.1016/j.jocn.2018.10.03410.1016/j.jocn.2018.10.034 ↗
10. 10.1016/j.trci.2018.06.01410.1016/j.trci.2018.06.014 ↗
11. 10.1186/s12884-019-2365-910.1186/s12884-019-2365-9 ↗
12. 10.1111/adb.1269710.1111/adb.12697 ↗
13. 10.1016/j.jpsychires.2019.02.01710.1016/j.jpsychires.2019.02.017 ↗
14. 10.1016/j.physbeh.2019.11259910.1016/j.physbeh.2019.112599 ↗
15. 10.1007/7854_2017_2110.1007/7854_2017_21 ↗
16. 10.1016/j.pneurobio.2018.10.00310.1016/j.pneurobio.2018.10.003 ↗
17. 10.1038/s41467-017-00675-510.1038/s41467-017-00675-5 ↗
18. 10.1186/s12974-016-0541-710.1186/s12974-016-0541-7 ↗
19. 10.1002/glia.2354610.1002/glia.23546 ↗
20. 10.1016/j.bbrc.2020.04.04610.1016/j.bbrc.2020.04.046 ↗
21. 10.1038/s41598-019-39349-110.1038/s41598-019-39349-1 ↗
22. 10.1007/s12640-018-9962-710.1007/s12640-018-9962-7 ↗
23. 10.1016/j.jconrel.2018.05.01110.1016/j.jconrel.2018.05.011 ↗
24. 10.1016/j.psyneuen.2016.01.01410.1016/j.psyneuen.2016.01.014 ↗
25. 10.1016/j.ijbiomac.2019.08.23710.1016/j.ijbiomac.2019.08.237 ↗
26. 10.1016/j.ijbiomac.2018.11.25810.1016/j.ijbiomac.2018.11.258 ↗
27. 10.1021/acsnano.8b0643710.1021/acsnano.8b06437 ↗
28. 10.1016/j.ijbiomac.2013.10.01210.1016/j.ijbiomac.2013.10.012 ↗
29. 10.1016/j.carbpol.2018.04.05110.1016/j.carbpol.2018.04.051 ↗
30. 10.1016/j.molimm.2018.01.01110.1016/j.molimm.2018.01.011 ↗
31. 10.1038/srep4500610.1038/srep45006 ↗
32. 10.1152/ajpendo.00346.201610.1152/ajpendo.00346.2016 ↗
33. 10.3389/fnmol.2019.0021010.3389/fnmol.2019.00210 ↗
34. 10.3389/fncel.2017.0023510.3389/fncel.2017.00235 ↗
35. 10.1371/journal.pone.021203910.1371/journal.pone.0212039 ↗
36. 10.1016/j.ejpb.2019.12.01410.1016/j.ejpb.2019.12.014 ↗
37. 10.1021/acs.molpharmaceut.7b0099110.1021/acs.molpharmaceut.7b00991 ↗
38. 10.1007/s00441-018-2959-y10.1007/s00441-018-2959-y ↗
39. 10.1039/c9bm01750j10.1039/c9bm01750j ↗
40. 10.1016/j.arr.2016.03.00710.1016/j.arr.2016.03.007 ↗
41. 10.1002/hipo.2058710.1002/hipo.20587 ↗
42. 10.1016/j.neurobiolaging.2011.09.01210.1016/j.neurobiolaging.2011.09.012 ↗
43. 10.1016/j.bbr.2012.07.01610.1016/j.bbr.2012.07.016 ↗
44. 10.1016/j.neurobiolaging.2021.01.01810.1016/j.neurobiolaging.2021.01.018 ↗
45. 10.3389/fneur.2019.0009310.3389/fneur.2019.00093 ↗
46. 10.1371/journal.pone.017337210.1371/journal.pone.0173372 ↗
47. 10.1016/j.neurobiolaging.2020.01.01110.1016/j.neurobiolaging.2020.01.011 ↗
48. 10.1159/00036244510.1159/000362445 ↗
49. 10.1016/j.neuroimage.2015.04.04210.1016/j.neuroimage.2015.04.042 ↗
50. 10.3233/JAD-18017310.3233/JAD-180173 ↗
51. 10.1172/JCI9060610.1172/JCI90606 ↗
52. 10.1093/brain/awy18810.1093/brain/awy188 ↗
53. 10.1016/j.neulet.2014.10.01610.1016/j.neulet.2014.10.016 ↗
54. 10.3390/pharmaceutics904005310.3390/pharmaceutics9040053 ↗
55. 10.3390/cancers1303050310.3390/cancers13030503 ↗
56. 10.1016/j.ijpharm.2014.08.02010.1016/j.ijpharm.2014.08.020 ↗
57. 10.1080/0265204001000041510.1080/02652040010000415 ↗
58. 10.1016/j.ijbiomac.2018.09.18510.1016/j.ijbiomac.2018.09.185 ↗
59. 10.1016/j.ijbiomac.2017.01.14710.1016/j.ijbiomac.2017.01.147 ↗
60. 10.2147/IJN.S16620010.2147/IJN.S166200 ↗
61. 10.1080/10837450.2018.155190110.1080/10837450.2018.1551901 ↗
62. 10.1016/j.neuroimage.2021.11777610.1016/j.neuroimage.2021.117776 ↗