journal article·2025-09-09Open access

Multidimensional Engineering of Extracellular Vesicles for Targeted Delivery and Microglial Reprograming in Spinal Cord Injury Repair

Wu Xiong, Minhao Liu, Juan Wang, Jie Liu, Mingming Zheng, Peiran Chan, Qian Zhu, Cong Li, Guang Kong, Chunming Tang, Jin Fan

ACS Nano· Volume 19· Issue 35

Abstract

The recovery of neurological function following spinal cord injury (SCI) is primarily constrained by two core pathological mechanisms: neuroinflammation and impaired tissue regeneration. While extracellular vesicles (EVs) have emerged as a promising therapeutic approach, their clinical translation remains limited by the inherent low bioactivity of natural EVs and suboptimal targeting efficiency at lesion sites. In this study, we developed a targeted EV delivery system with synergistic therapeutic potential, termed C-A/R-EVs, through a multidimensional engineering strategy. Specifically, the system leverages the blood-spinal cord barrier-penetrating ability of Angiopep-2 and the pathologically neovascular targeting capability of RGD to achieve precise localization in the SCI region. Additionally, a curcumin pretreatment strategy is employed to enhance the anti-inflammatory and neuroregenerative properties of the EVs. SnRNA-seq reveals that C-A/R-EVs reprogram microglia from a pro-inflammatory phenotype to a reparative phenotype, effectively suppressing neuroinflammation and promoting neural repair. Mechanistically, C-A/R-EVs facilitate axonal regeneration through enhancing the phagocytosis of myelin debris via reparative microglia, while simultaneously reducing the presence of inflammatory microglia to mitigate postinjury neuroinflammation. Moreover, C-A/R-EVs contribute to the restoration of the blood-spinal cord barrier. This study provides new insights into the design and fabrication of engineered EVs to synergistically enhance spinal cord repair through multimodal mechanisms.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Extracellular vesicles in disease · Neuroinflammation and Neurodegeneration Mechanisms · Spinal Cord Injury Research

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

Affiliations

Department of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, Jiangsu, China

Department of Human Anatomy, School of Basic Medicine

Nanjing Medical University

Department of Orthopedics, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou 210000, Jiangsu, China

Department of Orthopaedics, Xijing Hospital

Fourth Military Medical University

Department of Pharmaceutics, School of Pharmacy, Nanjing Medical University, 300 Guangzhou Road, Nanjing 210000, Jiangsu, China

Funding

National Natural Science Foundation of China · Key program of Taizhou Clinical Medical College

References (75)

Show source-provided references
1. 10.1038/s41392-023-01477-610.1038/s41392-023-01477-6 ↗
2. 10.1016/j.arr.2024.10259810.1016/j.arr.2024.102598 ↗
3. 10.1007/s00018-024-05186-310.1007/s00018-024-05186-3 ↗
4. 10.1016/j.bioactmat.2024.04.01510.1016/j.bioactmat.2024.04.015 ↗
5. 10.1186/s12951-022-01724-y10.1186/s12951-022-01724-y ↗
6. 10.1186/s12951-023-02089-610.1186/s12951-023-02089-6 ↗
7. 10.1111/prd.1256110.1111/prd.12561 ↗
8. 10.1089/neu.2021.046410.1089/neu.2021.0464 ↗
9. 10.1186/s12951-024-02330-w10.1186/s12951-024-02330-w ↗
10. 10.7150/thno.3087910.7150/thno.30879 ↗
11. 10.1002/advs.20230402510.1002/advs.202304025 ↗
12. 10.7150/thno.6889510.7150/thno.68895 ↗
13. 10.1016/j.jconrel.2023.11.05710.1016/j.jconrel.2023.11.057 ↗
14. 10.1002/adhm.20230228010.1002/adhm.202302280 ↗
15. 10.1039/D2NR03683E10.1039/D2NR03683E ↗
16. 10.1016/j.jconrel.2023.12.02110.1016/j.jconrel.2023.12.021 ↗
17. 10.1021/acsnano.4c1467510.1021/acsnano.4c14675 ↗
18. 10.1002/jev2.1225510.1002/jev2.12255 ↗
19. 10.1021/acsnano.3c0442310.1021/acsnano.3c04423 ↗
20. 10.1002/advs.20230472210.1002/advs.202304722 ↗
21. 10.1016/j.biopha.2023.11422410.1016/j.biopha.2023.114224 ↗
22. 10.4103/NRR.NRR-D-23-0184810.4103/NRR.NRR-D-23-01848 ↗
23. 10.1002/jsp2.136410.1002/jsp2.1364 ↗
24. 10.1126/scitranslmed.adi325910.1126/scitranslmed.adi3259 ↗
25. 10.1038/s41580-022-00562-y10.1038/s41580-022-00562-y ↗
26. 10.3390/ijms25241346010.3390/ijms252413460 ↗
27. 10.1093/neuros/nyw08010.1093/neuros/nyw080 ↗
28. 10.3390/ijms2120753310.3390/ijms21207533 ↗
29. 10.1038/s41392-024-01735-110.1038/s41392-024-01735-1 ↗
30. 10.1016/j.immuni.2024.07.00910.1016/j.immuni.2024.07.009 ↗
31. 10.1186/s40580-024-00426-510.1186/s40580-024-00426-5 ↗
32. 10.1016/j.ymthe.2023.01.02110.1016/j.ymthe.2023.01.021 ↗
33. 10.1016/j.tins.2018.03.00610.1016/j.tins.2018.03.006 ↗
34. 10.1002/advs.20210558610.1002/advs.202105586 ↗
35. 10.1016/j.apsb.2022.06.00710.1016/j.apsb.2022.06.007 ↗
36. 10.1016/j.bioactmat.2023.11.01310.1016/j.bioactmat.2023.11.013 ↗
37. 10.7150/thno.8900810.7150/thno.89008 ↗
38. 10.1016/j.bioactmat.2022.11.01110.1016/j.bioactmat.2022.11.011 ↗
39. 10.1002/adhm.20220339110.1002/adhm.202203391 ↗
40. 10.1002/advs.20210545110.1002/advs.202105451 ↗
41. 10.1080/10717544.2022.207254310.1080/10717544.2022.2072543 ↗
42. 10.7150/thno.5636710.7150/thno.56367 ↗
43. 10.7150/thno.8405910.7150/thno.84059 ↗
44. 10.1016/j.jconrel.2023.04.01410.1016/j.jconrel.2023.04.014 ↗
45. 10.1111/jpi.1276910.1111/jpi.12769 ↗
46. 10.1016/j.bioactmat.2021.05.02210.1016/j.bioactmat.2021.05.022 ↗
47. 10.1007/s11010-023-04731-110.1007/s11010-023-04731-1 ↗
48. 10.1007/s11481-023-10081-y10.1007/s11481-023-10081-y ↗
49. 10.1007/s11064-022-03832-510.1007/s11064-022-03832-5 ↗
50. 10.1038/s41590-020-00813-010.1038/s41590-020-00813-0 ↗
51. 10.1172/JCI9060810.1172/JCI90608 ↗
52. 10.4103/1673-5374.39096010.4103/1673-5374.390960 ↗
53. 10.1126/scitranslmed.adn709510.1126/scitranslmed.adn7095 ↗
54. 10.1016/j.intimp.2022.10916310.1016/j.intimp.2022.109163 ↗
55. 10.1002/glia.2370610.1002/glia.23706 ↗
56. 10.1002/glia.2452510.1002/glia.24525 ↗
57. 10.1016/j.spinee.2024.12.02510.1016/j.spinee.2024.12.025 ↗
58. 10.1007/s12264-019-00442-010.1007/s12264-019-00442-0 ↗
59. 10.1152/physrev.00031.201810.1152/physrev.00031.2018 ↗
60. 10.1016/j.pneurobio.2014.02.00610.1016/j.pneurobio.2014.02.006 ↗
61. 10.1038/s41586-022-05534-y10.1038/s41586-022-05534-y ↗
62. 10.1007/s00401-020-02193-z10.1007/s00401-020-02193-z ↗
63. 10.1172/jci.insight.8745510.1172/jci.insight.87455 ↗
64. 10.1038/nrn305310.1038/nrn3053 ↗
65. 10.1038/nrneurol.2014.20710.1038/nrneurol.2014.207 ↗
66. 10.4103/NRR.NRR-D-23-0125610.4103/NRR.NRR-D-23-01256 ↗
67. 10.1016/j.bioactmat.2024.01.01310.1016/j.bioactmat.2024.01.013 ↗
68. 10.1007/s00441-021-03477-w10.1007/s00441-021-03477-w ↗
69. 10.1038/s41593-020-00783-410.1038/s41593-020-00783-4 ↗
70. 10.1038/s41467-019-11707-710.1038/s41467-019-11707-7 ↗
71. 10.1016/j.bbi.2019.04.01010.1016/j.bbi.2019.04.010 ↗
72. 10.1007/s12035-024-04026-610.1007/s12035-024-04026-6 ↗
73. 10.1016/j.ijbiomac.2025.14028910.1016/j.ijbiomac.2025.140289 ↗
74. 10.1089/neu.2020.741310.1089/neu.2020.7413 ↗
75. 10.1186/s12951-024-02737-510.1186/s12951-024-02737-5 ↗