si-Tgfbr1-loading liposomes inhibit shoulder capsule fibrosis via mimicking the protective function of exosomes from patients with adhesive capsulitis
Source abstract
Abstract
Abstract Background Adhesive capsulitis is a common shoulder disorder inducing joint capsule fibrosis and pain. When combined with rotator cuff tear (RCT), treatments can be more complex. Currently, targeted therapy is lacking. Since adhesive capsulitis is reported to be related to circulating materials, we analyzed the contents and biology of circulating exosomes from RCT patients with and without adhesive capsulitis, in an attempt to developing a targeting treatment. Methods Samples from a consecutive cohort of patients with RCT for surgery were collected. Circulating exosomal miRNAs sequencing were used to detect differentially expressed miRNAs in patients with and without adhesive capsulitis. For experiments in vitro, Brdu staining, CCK-8 assay, wound healing test, collagen contraction test, real-time quantitative polymerase chain reaction, and western blot were conducted. Histological and immunofluorescent staining, and biomechanical analysis were applied in a mouse model of shoulder stiffness. The characteristics of liposomes loaded with siRNA were measured via dynamic light scattering or electron microscopy. Results Circulating exosomal miRNAs sequencing showed that, compared to exosomes from patients without adhesive capsulitis, miR-142 was significantly up-regulated in exosomes from adhesive capsulitis (Exo-S). Both Exo-S and miR-142 could inhibit fibrogenesis, and the anti-fibrotic effect of Exo-S relied on miR-142. The target of miR-142 was proven to be transforming growth factor β receptor 1 (Tgfbr1). Then, liposomes were developed and loaded with si-Tgfbr1. The si-Tgfbr1-loading liposomes exhibited promising therapeutic effect against shoulder stiffness in mouse model with no evidence toxicity. Conclusion This study showed that, in RCT patients with adhesive capsulitis, circulating exosomes are protective and have anti-fibrotic potential. This effect is related to the contained miR-142, which targets Tgfbr1. By mimicking this biological function, liposomes loaded with si-Tgfbr1 can mitigate shoulder stiffness pre-clinically.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Shoulder Injury and Treatment · Tendon Structure and Treatment · Elbow and Forearm Trauma Treatment
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Department of Sports Medicine, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, China.
Funding
National Natural Science Foundation of China
References (55)
Show source-provided references
1. 10.1177/2325967121106957710.1177/23259671211069577 ↗
2. 10.3389/fmed.2021.66370310.3389/fmed.2021.663703 ↗
3. 10.4055/cios.2019.11.3.24910.4055/cios.2019.11.3.249 ↗
4. 10.1016/j.jse.2014.08.00110.1016/j.jse.2014.08.001 ↗
5. 10.1177/2325967121103254310.1177/23259671211032543 ↗
6. 10.1016/j.arthro.2006.03.00410.1016/j.arthro.2006.03.004 ↗
7. 10.2106/JBJS.N.0091010.2106/JBJS.N.00910 ↗
8. Day Hazra R, Ernat J, Rakowski D, Boykin R, Millett P. The Evolution of arthroscopic rotator cuff repair. Orthop J Sports Med. 2021;9(12):23259671211050899.10.1177/23259671211050899 ↗
9. 10.5397/cise.2020.0014310.5397/cise.2020.00143 ↗
10. 10.1016/j.jse.2018.07.01110.1016/j.jse.2018.07.011 ↗
11. 10.1016/j.bioactmat.2021.03.00110.1016/j.bioactmat.2021.03.001 ↗
12. 10.1016/j.gene.2018.06.00110.1016/j.gene.2018.06.001 ↗
13. 10.1007/s00167-015-3906-z10.1007/s00167-015-3906-z ↗
14. 10.3389/fmed.2021.66370310.3389/fmed.2021.663703 ↗
15. 10.1080/20013078.2020.180906410.1080/20013078.2020.1809064 ↗
16. 10.1016/j.lfs.2020.11771910.1016/j.lfs.2020.117719 ↗
17. 10.1089/scd.2020.016710.1089/scd.2020.0167 ↗
18. 10.3389/fonc.2020.61105410.3389/fonc.2020.611054 ↗
19. 10.1038/s41419-021-03460-x10.1038/s41419-021-03460-x ↗
20. 10.1177/036354651774417110.1177/0363546517744171 ↗
21. 10.1016/j.arthro.2008.06.00710.1016/j.arthro.2008.06.007 ↗
22. 10.1002/jor.2457110.1002/jor.24571 ↗
23. 10.3402/jev.v5.2928910.3402/jev.v5.29289 ↗
24. 10.3402/jev.v3.2691310.3402/jev.v3.26913 ↗
25. 10.1080/20013078.2020.171352610.1080/20013078.2020.1713526 ↗
26. 10.1080/20013078.2020.173524910.1080/20013078.2020.1735249 ↗
27. 10.1080/20013078.2020.177414410.1080/20013078.2020.1774144 ↗
28. 10.1039/C6TB01674J10.1039/C6TB01674J ↗
29. 10.2147/JIR.S30455510.2147/JIR.S304555 ↗
30. 10.1016/j.biomaterials.2021.12071410.1016/j.biomaterials.2021.120714 ↗
31. 10.1093/abbs/gmx05210.1093/abbs/gmx052 ↗
32. 10.1016/j.ajps.2019.03.00110.1016/j.ajps.2019.03.001 ↗
33. 10.1208/s12249-017-0833-y10.1208/s12249-017-0833-y ↗
34. 10.1016/j.jse.2015.06.01510.1016/j.jse.2015.06.015 ↗
35. 10.1016/j.jse.2010.02.00410.1016/j.jse.2010.02.004 ↗
36. 10.1002/jor.2294310.1002/jor.22943 ↗
37. 10.18240/ijo.2019.08.0410.18240/ijo.2019.08.04 ↗
38. 10.1177/036354651985932410.1177/0363546519859324 ↗
39. 10.1007/s00776-013-0387-010.1007/s00776-013-0387-0 ↗
40. 10.3390/molecules2704137210.3390/molecules27041372 ↗
41. 10.1038/nrneph.2016.4810.1038/nrneph.2016.48 ↗
42. 10.1016/j.omtn.2018.04.00510.1016/j.omtn.2018.04.005 ↗
43. 10.1093/burnst/tkab03810.1093/burnst/tkab038 ↗
44. 10.1093/burnst/tkac01110.1093/burnst/tkac011 ↗
45. Toden S, Zumwalt TJ, Goel A. Non-coding RNAs and potential therapeutic targeting in cancer. Biochim Biophys Acta. 2021;1875(1):188491. 1:CAS:528:DC%2BB3MXkt1Klsw%3D%3D
46. Traber GM Yu AM. RNAi Based therapeutics and novel RNA bioengineering technologies.J Pharmacol Exp Ther. 2022. epub ahead of print.10.1124/jpet.122.001234 ↗
47. 10.1016/j.bcp.2020.11439210.1016/j.bcp.2020.114392 ↗
48. 10.1038/nrd274210.1038/nrd2742 ↗
49. 10.1016/j.jcis.2017.09.04510.1016/j.jcis.2017.09.045 ↗
50. 10.7150/thno.6108510.7150/thno.61085 ↗
51. 10.7150/thno.4815210.7150/thno.48152 ↗
52. 10.1016/j.jse.2017.09.01010.1016/j.jse.2017.09.010 ↗
53. 10.3390/ijms2022574210.3390/ijms20225742 ↗
54. 10.1186/s13287-021-02290-010.1186/s13287-021-02290-0 ↗
55. 10.1152/physiolgenomics.00095.201410.1152/physiolgenomics.00095.2014 ↗