Precisely Shaped Self-Adjuvanting Peptide Vaccines with Enhanced Immune Responses for HPV-Associated Cancer Therapy
Source abstract
Abstract
Peptide vaccines exhibit great potential in cancer therapy via eliciting antigen-specific host immune response and long-term immune memory to defend cancer cells. However, the low induced immune response of many developing vaccines implies the imperatives for understanding the favorable structural features of efficient cancer vaccines. Herein, we report on the two groups of self-adjuvanting peptide vaccines with distinct morphology and investigate the relationship between the morphology of peptide vaccines and the induced immune response. Two nanofibril peptide vaccines were created via co-assembly of a pentapeptide with a central 4-aminoproline residue, with its derivative functionalized with antigen epitopes derived from human papillomavirus E7 proteins, whereas utilization of a pentapeptide with a natural proline residue led to the formation of two nanoparticle peptide vaccines. The immunological results of dendritic cell (DCs) maturation and antigen presentation induced by the peptide assemblies implied the self-adjuvanting property of the resulting peptide vaccines. In particular, cellular uptake studies revealed the enhanced internalization and elongated retention of the nanofibril peptide vaccines in DCs, leading to their advanced performance in DC maturation, accumulation at lymph nodes, infiltration of cytotoxic T lymphocytes into tumor tissues, and eventually lysis of in vivo tumor cells, compared to the nanoparticle counterparts. The antitumor immune response caused by the nanofibril peptide vaccines was further augmented when simultaneously administrated with anti-PD-1 checkpoint blockades, suggesting the opportunity of the combinatorial immunotherapy by utilizing the nanofibril peptide vaccines. Our findings strongly demonstrate a robust relationship between the immune response of peptide vaccines and their morphology, thereby elucidating the critical role of morphological control in the design of efficient peptide vaccines and providing the guidance for the design of efficient peptide vaccines in the future.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Immunotherapy and Immune Responses · RNA Interference and Gene Delivery · vaccines and immunoinformatics approaches
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Functional Polymer Materials, Ministry of Education, State Key Laboratory of Medicinal Chemical Biology, Institute of Polymer Chemistry, College of Chemistry, Nankai University, 94 Weijin Road, Tianjin 300071, China
Tianjin Key Laboratory of Biomaterial Research, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, 236 Baidi Road, Tianjin 300192, China
Funding
Nankai University · National Natural Science Foundation of China
References (81)
Show source-provided references
1. 10.1016/j.cell.2018.09.03510.1016/j.cell.2018.09.035 ↗
2. 10.1038/nmat482210.1038/nmat4822 ↗
3. 10.1038/nature2299110.1038/nature22991 ↗
4. 10.1126/science.aar711210.1126/science.aar7112 ↗
5. 10.1038/s41467-019-11157-110.1038/s41467-019-11157-1 ↗
6. 10.1038/s41586-018-0810-y10.1038/s41586-018-0810-y ↗
7. 10.1021/acsnano.7b0904110.1021/acsnano.7b09041 ↗
8. 10.1021/acs.nanolett.0c0089310.1021/acs.nanolett.0c00893 ↗
9. 10.1021/acsnano.7b0587610.1021/acsnano.7b05876 ↗
10. 10.1182/blood-2019-12828810.1182/blood-2019-128288 ↗
11. 10.1126/science.aar406010.1126/science.aar4060 ↗
12. 10.1002/ange.20150622510.1002/ange.201506225 ↗
13. 10.1038/nrclinonc.2017.12810.1038/nrclinonc.2017.128 ↗
14. 10.1002/anie.20160190210.1002/anie.201601902 ↗
15. 10.1002/adma.20160323910.1002/adma.201603239 ↗
16. 10.1002/adma.20170567410.1002/adma.201705674 ↗
17. 10.1021/acsnano.9b0597410.1021/acsnano.9b05974 ↗
18. 10.1038/s41565-020-00782-310.1038/s41565-020-00782-3 ↗
19. 10.1016/j.addr.2020.06.02210.1016/j.addr.2020.06.022 ↗
20. 10.1002/anie.20200611710.1002/anie.202006117 ↗
21. 10.1038/s41551-017-0136-310.1038/s41551-017-0136-3 ↗
22. 10.1016/j.biomaterials.2010.12.06010.1016/j.biomaterials.2010.12.060 ↗
23. 10.1002/adma.20180669510.1002/adma.201806695 ↗
24. 10.1021/acs.accounts.6b0055310.1021/acs.accounts.6b00553 ↗
25. 10.1126/science.aat614110.1126/science.aat6141 ↗
26. 10.1016/j.addr.2017.02.00210.1016/j.addr.2017.02.002 ↗
27. 10.1016/j.addr.2016.06.01510.1016/j.addr.2016.06.015 ↗
28. 10.1021/acs.chemrev.7b0052210.1021/acs.chemrev.7b00522 ↗
29. 10.1038/nnano.2015.23810.1038/nnano.2015.238 ↗
30. 10.1021/jacs.6b1138210.1021/jacs.6b11382 ↗
31. 10.1021/acs.nanolett.8b0107110.1021/acs.nanolett.8b01071 ↗
32. 10.1002/anie.20191308710.1002/anie.201913087 ↗
33. 10.1002/adma.20200294010.1002/adma.202002940 ↗
34. 10.1002/sstr.20200006810.1002/sstr.202000068 ↗
35. 10.3389/fchem.2020.0038010.3389/fchem.2020.00380 ↗
36. 10.1002/pep2.2409510.1002/pep2.24095 ↗
37. 10.1007/s40843-019-9451-710.1007/s40843-019-9451-7 ↗
38. 10.1002/adhm.20170093010.1002/adhm.201700930 ↗
39. 10.1038/nrurol.2017.7710.1038/nrurol.2017.77 ↗
40. 10.1021/acsnano.0c0276510.1021/acsnano.0c02765 ↗
41. 10.1021/acs.accounts.7b0018610.1021/acs.accounts.7b00186 ↗
42. 10.1038/nchem.212210.1038/nchem.2122 ↗
43. 10.1126/science.aad409110.1126/science.aad4091 ↗
44. 10.1021/jacs.7b0659110.1021/jacs.7b06591 ↗
45. 10.1038/ncomms1524410.1038/ncomms15244 ↗
46. 10.1021/acsnano.8b0657510.1021/acsnano.8b06575 ↗
47. 10.1073/pnas.091212410710.1073/pnas.0912124107 ↗
48. 10.1002/adma.20120020910.1002/adma.201200209 ↗
49. 10.1021/ja211725s10.1021/ja211725s ↗
50. 10.1002/adfm.20180735710.1002/adfm.201807357 ↗
51. 10.1002/anie.20200799910.1002/anie.202007999 ↗
52. 10.1002/adma.20200331010.1002/adma.202003310 ↗
53. 10.1002/adfm.20150518810.1002/adfm.201505188 ↗
54. 10.1021/acs.nanolett.7b0263610.1021/acs.nanolett.7b02636 ↗
55. 10.1021/acs.nanolett.8b0140610.1021/acs.nanolett.8b01406 ↗
56. 10.1021/nn204530r10.1021/nn204530r ↗
57. 10.1021/acs.nanolett.9b0313610.1021/acs.nanolett.9b03136 ↗
58. 10.1016/j.nantod.2020.10087810.1016/j.nantod.2020.100878 ↗
59. 10.1021/bm400626w10.1021/bm400626w ↗
60. 10.1016/j.it.2017.04.00210.1016/j.it.2017.04.002 ↗
61. 10.1002/poc.91910.1002/poc.919 ↗
62. 10.1002/anie.20180971610.1002/anie.201809716 ↗
63. 10.1021/acs.nanolett.6b0306210.1021/acs.nanolett.6b03062 ↗
64. 10.1002/bip.36010110210.1002/bip.360101102 ↗
65. 10.1016/j.jmb.2005.02.05010.1016/j.jmb.2005.02.050 ↗
66. 10.1002/adfm.20191056610.1002/adfm.201910566 ↗
67. 10.1073/pnas.121689311010.1073/pnas.1216893110 ↗
68. 10.1021/nn305700510.1021/nn3057005 ↗
69. 10.1136/jitc-2020-00111110.1136/jitc-2020-001111 ↗
70. 10.1016/j.addr.2017.07.00510.1016/j.addr.2017.07.005 ↗
71. 10.1038/s41578-019-0110-710.1038/s41578-019-0110-7 ↗
72. 10.1021/acsnano.9b0420710.1021/acsnano.9b04207 ↗
73. 10.1038/s41565-020-00782-310.1038/s41565-020-00782-3 ↗
74. 10.1002/adma.20210392310.1002/adma.202103923 ↗
75. 10.1016/j.cmet.2016.10.01810.1016/j.cmet.2016.10.018 ↗
76. 10.1016/s0092-8674(01)00237-910.1016/s0092-8674(01)00237-9 ↗
77. 10.1126/sciimmunol.aat148210.1126/sciimmunol.aat1482 ↗
78. 10.1146/annurev.immunol.22.012703.10470210.1146/annurev.immunol.22.012703.104702 ↗
79. 10.1016/j.addr.2017.06.00810.1016/j.addr.2017.06.008 ↗
80. 10.1021/acs.accounts.8b0056910.1021/acs.accounts.8b00569 ↗
81. 10.1038/s41593-018-0145-x10.1038/s41593-018-0145-x ↗