journal article·2025-09-03

Application of a Rationally Designed Mucosal Nanovaccine Platform in Bacterial Disease Prophylactics Using Fish as a Model Organism

Chen Zhang, Pan-Pan Zhang, Cao-Ying Wei, Wen-Ye Song, Hai-Hua Peng, Xin-Xin Liu, Yong-Can Zhou, Yun Sun

ACS Applied Materials & Interfaces· Volume 17· Issue 35
Publisher page

Abstract

The emergence of antimicrobial resistance necessitates innovative vaccine strategies for bacterial disease prevention in aquaculture. Here, we present a rationally designed mucosal nanovaccine platform targeting Vibrio harveyi, a major pathogen in marine fish. Bioinformatics tools identified 15 T-cell and 16 B-cell epitopes from 17 antigenic proteins, which were consolidated into a multiepitope antigen (MAE). This MAE was fused to the self-assembling ferritin H-subunit (HFn) to form MAE@HFn nanoparticles, further functionalized with PEG2000 (MAE@HFn-PEG 2k ) to enhance mucus penetration. Structural characterization confirmed uniform spherical nanoparticles with high stability and negligible cytotoxicity. In marine fish models (grouper), mucosal administration of MAE@HFn-PEG 2k elicited robust humoral and cellular immune responses, including elevated IgM titers, Th1/Th2 cytokine production, and memory T-cell activation. Notably, this nanovaccine achieved an 86% survival rate post- V. harveyi challenge while overcoming traditional limitations of mucosal delivery, such as poor antigen retention. Mechanistic studies revealed efficient transepithelial transport and enhanced antigen presentation, driven by PEG-mediated mucus evasion and HFn’s multivalent epitope display. This work establishes a scalable, safe, and economically viable nanoplatform for aquatic disease prophylaxis, with broader implications for mucosal vaccine design in other species.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Aquaculture disease management and microbiota · vaccines and immunoinformatics approaches · Immunotherapy and Immune Responses

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

Affiliations

School of Marine Biology and Fisheries, Sanya Institute of Breeding and Multiplication, Collaborative Innovation Center of Marine Science and Technology

Hainan University

Hainan Seed Industry Laboratory

Funding

National Key Research and Development Program of China · The earmarked fund for HNARS-Grouper · Hainan Seed Industry Laboratory · Innovational Fund for Scientific and Technological Personnel of Hainan Province

References (49)

Show source-provided references
1. 10.1016/j.ejmech.2020.11274110.1016/j.ejmech.2020.112741 ↗
2. 10.1128/spectrum.02144-2110.1128/spectrum.02144-21 ↗
3. 10.1177/0300985823116475410.1177/03009858231164754 ↗
4. 10.3390/ijms24221620210.3390/ijms242216202 ↗
5. 10.3390/metabo1006026510.3390/metabo10060265 ↗
6. 10.1016/j.micpath.2023.10617410.1016/j.micpath.2023.106174 ↗
7. 10.1016/j.fsi.2010.02.01010.1016/j.fsi.2010.02.010 ↗
8. 10.3389/fimmu.2022.104033610.3389/fimmu.2022.1040336 ↗
9. 10.1080/14760584.2023.226872410.1080/14760584.2023.2268724 ↗
10. 10.1016/j.micpath.2021.10508210.1016/j.micpath.2021.105082 ↗
11. 10.1002/smll.20240764910.1002/smll.202407649 ↗
12. 10.1111/jcmm.1810310.1111/jcmm.18103 ↗
13. 10.1016/j.jbi.2014.11.00310.1016/j.jbi.2014.11.003 ↗
14. 10.1016/j.fsi.2025.11023410.1016/j.fsi.2025.110234 ↗
15. 10.1080/1040841X.2021.197993410.1080/1040841X.2021.1979934 ↗
16. 10.1080/14760584.2021.198489010.1080/14760584.2021.1984890 ↗
17. 10.1126/sciadv.adk244410.1126/sciadv.adk2444 ↗
18. 10.1002/adma.20220771910.1002/adma.202207719 ↗
19. 10.1002/advs.20230521710.1002/advs.202305217 ↗
20. 10.1038/nri325110.1038/nri3251 ↗
21. 10.1016/j.biomaterials.2017.03.00710.1016/j.biomaterials.2017.03.007 ↗
22. 10.1002/adhm.20240268810.1002/adhm.202402688 ↗
23. 10.1021/acsami.7b0104510.1021/acsami.7b01045 ↗
24. 10.1021/acsami.3c1430510.1021/acsami.3c14305 ↗
25. 10.1021/acsami.5c0662610.1021/acsami.5c06626 ↗
26. 10.1016/j.cell.2024.05.03910.1016/j.cell.2024.05.039 ↗
27. 10.1126/sciadv.adj740210.1126/sciadv.adj7402 ↗
28. 10.1021/acsami.8b2094210.1021/acsami.8b20942 ↗
29. 10.1021/acsomega.2c0779410.1021/acsomega.2c07794 ↗
30. 10.1021/acsami.7b1676410.1021/acsami.7b16764 ↗
31. 10.1016/j.jconrel.2022.09.03110.1016/j.jconrel.2022.09.031 ↗
32. 10.1007/978-1-4939-6887-9_110.1007/978-1-4939-6887-9_1 ↗
33. 10.1021/acsami.4c1030110.1021/acsami.4c10301 ↗
34. 10.1016/j.lfs.2023.12233110.1016/j.lfs.2023.122331 ↗
35. 10.3390/vaccines901000110.3390/vaccines9010001 ↗
36. 10.1016/j.cell.2022.01.01710.1016/j.cell.2022.01.017 ↗
37. 10.1038/s41385-021-00413-710.1038/s41385-021-00413-7 ↗
38. 10.1080/10717544.2025.249477510.1080/10717544.2025.2494775 ↗
39. 10.3390/biology403052510.3390/biology4030525 ↗
40. 10.1016/j.jbc.2021.10119910.1016/j.jbc.2021.101199 ↗
41. 10.1146/annurev-Immunol-101320-12374210.1146/annurev-Immunol-101320-123742 ↗
42. 10.1007/s00251-020-01195-110.1007/s00251-020-01195-1 ↗
43. 10.1016/j.dci.2021.10407910.1016/j.dci.2021.104079 ↗
44. 10.1038/s41573-023-00746-x10.1038/s41573-023-00746-x ↗
45. 10.1016/j.dci.2022.10462710.1016/j.dci.2022.104627 ↗
46. 10.1016/j.ijpharm.2023.12276010.1016/j.ijpharm.2023.122760 ↗
47. 10.3389/fimmu.2020.56794110.3389/fimmu.2020.567941 ↗
48. 10.1016/j.fsi.2023.10928110.1016/j.fsi.2023.109281 ↗
49. 10.1016/j.fsi.2024.10958310.1016/j.fsi.2024.109583 ↗