journal article·2021-02-08Open access

A Bio-inspired Multifunctionalized Silk Fibroin

Sofia Santi, Ines Mancini, Sandra Dirè, Emanuela Callone, Giorgio Speranza, Nicola Pugno, Claudio Migliaresi, Antonella Motta

Abstract

A bio-inspired multifunctionalized silk fibroin (BMS) was synthesized in order to mimic the interaction of nidogen with the type IV collagen and laminin of basement membranes. The designed BMS consists of a motif of laminin α-chain-derived, called IK peptide, and type IV collagen covalently bound to the silk fibroin (SF) by using EDC/NHS coupling and a Cu-free click chemistry reaction, respectively. Silk fibroin was chosen as the main component of the BMS because it is versatile and biocompatible, induces an in vivo favorable bioresponse, and moreover can be functionalized with different methods. The chemical structure of BMS was analyzed by using X-ray photoelectron spectroscopy, attenuated total reflection-Fourier transform infrared, cross-polarization magic angle spinning nuclear magnetic resonance techniques, and colorimetric assay. The SF and BMS solutions were cross-linked by sonication to form hydrogels or casted to make films in order to evaluate and compare the early adhesion and viability of MRC5 cells. BMS hydrogels were also characterized by rheological and thermal analyses.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Silk-based biomaterials and applications · Antimicrobial Peptides and Activities · Electrospun Nanofibers in Biomedical Applications

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

Affiliations

Department of Industrial Engineering, University of Trento, via Sommarive 9, 38123 Trento, Italy

BIOTech Research Center, University of Trento, via delle Regole 101, 38123 Trento, Italy

Laboratory of Bioorganic Chemistry, Department of Physics, University of Trento, via Sommarive 14, 38123 Trento, Italy

“Klaus Mueller” Magnetic Resonance Laboratory, Department of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, Italy

FBK-irst, Via Sommarive 18, Povo, 38123 Trento, Italy

IFN - CNR, CSMFO Lab. & FBK CMM, via alla Cascata, 56/C Povo, 38123 Trento, Italy

Laboratory of Bio-Inspired, Bionic, Nano, Meta Materials & Mechanics, Department of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, Italy

School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, E1-4NS London, United Kingdom

Funding

H2020 Marie Sklodowska-Curie Actions

References (48)

Show source-provided references
1. 10.1074/jbc.M00689720010.1074/jbc.M006897200 ↗
2. 10.3390/jfb703002610.3390/jfb7030026 ↗
3. 10.1002/mabi.20050013710.1002/mabi.200500137 ↗
4. 10.1002/term.205310.1002/term.2053 ↗
5. 10.1002/mabi.20150037010.1002/mabi.201500370 ↗
6. 10.1016/bs.ctdb.2018.02.00510.1016/bs.ctdb.2018.02.005 ↗
7. 10.1016/j.matbio.2016.06.00210.1016/j.matbio.2016.06.002 ↗
8. 10.3181/0703-MR-7210.3181/0703-MR-72 ↗
9. 10.1002/ar.2356710.1002/ar.23567 ↗
10. 10.1016/B978-0-12-397266-8.00004-110.1016/B978-0-12-397266-8.00004-1 ↗
11. 10.1523/JNEUROSCI.22-15-06587.200210.1523/JNEUROSCI.22-15-06587.2002 ↗
12. 10.1016/j.biomaterials.2011.11.02810.1016/j.biomaterials.2011.11.028 ↗
13. 10.1016/j.biomaterials.2011.02.02010.1016/j.biomaterials.2011.02.020 ↗
14. 10.1002/jbm.a.3235910.1002/jbm.a.32359 ↗
15. 10.4103/1673-5374.15696610.4103/1673-5374.156966 ↗
16. 10.1083/jcb.113.2.41710.1083/jcb.113.2.417 ↗
17. 10.1093/carcin/20.5.74910.1093/carcin/20.5.749 ↗
18. 10.1134/S107042720606001210.1134/S1070427206060012 ↗
19. 10.1016/j.jsb.2014.02.00910.1016/j.jsb.2014.02.009 ↗
20. 10.1021/acsbiomaterials.8b0021210.1021/acsbiomaterials.8b00212 ↗
21. Hermanson, G. T. Bioconjugate Techniques; 2nd Edition; 2008, Vol. 91.
22. Com U. · No. · 2008 · 1982 · 1
23. Thermo Fisher Scientific Inc. INSTRUCTIONS TNBSA (2,4,6-Trinitrobenzene Sulfonic Acid). 2008, 1–2.
24. 10.1016/j.biomaterials.2007.11.00310.1016/j.biomaterials.2007.11.003 ↗
25. R: The R Project for Statistical Computing https://www.r-project.org/. (accessed Sep 24, 2019)
26. 10.1002/mrc.133710.1002/mrc.1337 ↗
27. 10.1002/mrc.479010.1002/mrc.4790 ↗
28. 10.1016/j.polymer.2015.10.03010.1016/j.polymer.2015.10.030 ↗
29. 10.1021/acsbiomaterials.5b0050710.1021/acsbiomaterials.5b00507 ↗
30. 10.1002/jsfa.782910.1002/jsfa.7829 ↗
31. 10.1039/C5TC02043C10.1039/C5TC02043C ↗
32. 10.1016/j.apsusc.2010.09.10110.1016/j.apsusc.2010.09.101 ↗
33. 10.1016/j.susc.2004.01.04610.1016/j.susc.2004.01.046 ↗
34. 10.1016/j.jelechem.2012.01.00110.1016/j.jelechem.2012.01.001 ↗
35. 10.1021/acsami.7b0526210.1021/acsami.7b05262 ↗
36. 10.1021/acsami.5b1064710.1021/acsami.5b10647 ↗
37. 10.1016/j.ijbiomac.2016.04.04510.1016/j.ijbiomac.2016.04.045 ↗
38. 10.1021/jp056350v10.1021/jp056350v ↗
39. 10.1002/jbm.b.3396810.1002/jbm.b.33968 ↗
40. 10.1016/j.watres.2017.09.04610.1016/j.watres.2017.09.046 ↗
41. 10.1103/PhysRevLett.104.19830410.1103/PhysRevLett.104.198304 ↗
42. 10.1016/j.bpj.2012.07.04610.1016/j.bpj.2012.07.046 ↗
43. 10.1002/pol.1977.18015091510.1002/pol.1977.180150915 ↗
44. 10.1002/1521-3935(200207)203:10/11<1658::AID-MACP1658>3.0.CO;2-310.1002/1521-3935(200207)203:10/11<1658::AID-MACP1658>3.0.CO;2-3 ↗
45. 10.1038/srep4393410.1038/srep43934 ↗
46. 10.1016/S0939-6411(97)00082-910.1016/S0939-6411(97)00082-9 ↗
47. 10.1089/ten.tea.2010.059010.1089/ten.tea.2010.0590 ↗
48. 10.3390/ma1211182410.3390/ma12111824 ↗