journal article·2023-03-08

Targeting Tumor Necrosis Factor Receptor 1 with Selected Aptamers for Anti-Inflammatory Activity

Xiao Chu, Xinyu Du, Longhua Yang, Ziyi Wang, Yi Zhang, Xiaonan Wang, Lijun Dai, Jiangnan Zhang, Jie Liu, Nan Zhang, Yongxing Zhao, Hongzhou Gu

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Abstract

Tumor necrosis factor-α (TNFα) inhibitors are widely used in treating autoimmune diseases like rheumatoid arthritis (RA). These inhibitors can presumably alleviate RA symptoms by blocking TNFα-TNF receptor 1 (TNFR1)-mediated pro-inflammatory signaling pathways. However, the strategy also interrupts the survival and reproduction functions conducted by TNFα-TNFR2 interaction and causes side effects. Thus, it is urgently needed to develop inhibitors that can selectively block TNFα-TNFR1 but not TNFα-TNFR2. Here, nucleic acid-based aptamers against TNFR1 are explored as potential anti-RA candidates. Through the systematic evolution of ligands by exponential enrichment (SELEX), two types of TNFR1-targeting aptamers were obtained, and their K D values are approximately 100–300 nM. In silico analysis shows that the binding interface of aptamer-TNFR1 highly overlapped with natural TNFα-TNFR1 binding. On the cellular level, the aptamers can exert TNFα inhibitory activity by binding to TNFR1. The anti-inflammatory efficiencies of aptamers were assessed and further enhanced using divalent aptamer constructs. These findings provide a new strategy to block TNFR1 for potential anti-RA treatment precisely.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Rheumatoid Arthritis Research and Therapies · Systemic Lupus Erythematosus Research · Monoclonal and Polyclonal Antibodies Research

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

Affiliations

School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China

Fudan University Shanghai Cancer Center, and Institutes of Biomedical Sciences, Center for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University, Shanghai 201399, China

School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China

Funding

National Natural Science Foundation of China · the Program of Shanghai Academic Research Leader

References (46)

Show source-provided references
1. 10.1016/S0140-6736(16)30173-810.1016/S0140-6736(16)30173-8 ↗
2. 10.1016/j.autrev.2019.10242110.1016/j.autrev.2019.102421 ↗
3. 10.1002/art.4175410.1002/art.41754 ↗
4. 10.1136/ard-2022-22335710.1136/ard-2022-223357 ↗
5. 10.1136/annrheumdis-2019-21665510.1136/annrheumdis-2019-216655 ↗
6. 10.1186/s13075-021-02599-410.1186/s13075-021-02599-4 ↗
7. 10.1080/08820139.2019.163743410.1080/08820139.2019.1637434 ↗
8. 10.3390/cells908187610.3390/cells9081876 ↗
9. 10.1159/00028920510.1159/000289205 ↗
10. 10.1038/nrmicro145810.1038/nrmicro1458 ↗
11. 10.1126/science.169639410.1126/science.1696394 ↗
12. 10.1021/cb300355710.1021/cb3003557 ↗
13. 10.1016/j.cytogfr.2020.03.00210.1016/j.cytogfr.2020.03.002 ↗
14. 10.1038/nrrheum.2015.16910.1038/nrrheum.2015.169 ↗
15. 10.1002/art.4113410.1002/art.41134 ↗
16. 10.1007/s10067-019-04684-110.1007/s10067-019-04684-1 ↗
17. 10.1016/j.cytogfr.2011.09.00410.1016/j.cytogfr.2011.09.004 ↗
18. 10.1093/nar/gkl34710.1093/nar/gkl347 ↗
19. 10.1002/0471140864.ps1925s7910.1002/0471140864.ps1925s79 ↗
20. 10.1016/j.jmgm.2018.04.01210.1016/j.jmgm.2018.04.012 ↗
21. 10.1186/1471-2105-11-12910.1186/1471-2105-11-129 ↗
22. 10.18388/abp.2016_132910.18388/abp.2016_1329 ↗
23. 10.1093/nar/gkq132010.1093/nar/gkq1320 ↗
24. 10.1093/bioinformatics/bts13910.1093/bioinformatics/bts139 ↗
25. 10.1093/nar/gkw113210.1093/nar/gkw1132 ↗
26. 10.1093/nar/gky42710.1093/nar/gky427 ↗
27. 10.1016/S0969-2126(96)00134-710.1016/S0969-2126(96)00134-7 ↗
28. 10.1107/S090744499801843510.1107/S0907444998018435 ↗
29. 10.1016/0092-8674(93)90132-A10.1016/0092-8674(93)90132-A ↗
30. 10.1006/jmbi.1996.066310.1006/jmbi.1996.0663 ↗
31. 10.1007/BF0022814810.1007/BF00228148 ↗
32. 10.1038/s41596-020-0312-x10.1038/s41596-020-0312-x ↗
33. 10.1038/sj.jidsymp.565003310.1038/sj.jidsymp.5650033 ↗
34. 10.1126/scisignal.aav563710.1126/scisignal.aav5637 ↗
35. The SPSSAU Project; SPSSAU, (version 21.0), 2021. [OnlineApplication Software]. Retrieved from https://www.spssau.com.
36. 10.1126/scisignal.200095410.1126/scisignal.2000954 ↗
37. 10.1016/S1043-4666(05)80003-110.1016/S1043-4666(05)80003-1 ↗
38. 10.1021/bi300662610.1021/bi3006626 ↗
39. 10.1126/scisignal.aax564710.1126/scisignal.aax5647 ↗
40. 10.1177/247255521770647810.1177/2472555217706478 ↗
41. 10.1016/S0092-8674(03)00521-X10.1016/S0092-8674(03)00521-X ↗
42. 10.1016/j.cell.2008.03.03610.1016/j.cell.2008.03.036 ↗
43. 10.2165/00002018-200730050-0000510.2165/00002018-200730050-00005 ↗
44. 10.1016/j.ijpharm.2022.12254310.1016/j.ijpharm.2022.122543 ↗
45. 10.3390/pharmaceutics1407151810.3390/pharmaceutics14071518 ↗
46. 10.1016/j.ijpx.2023.10016210.1016/j.ijpx.2023.100162 ↗