Harnessing Colloidal Self-Assembled Patterns (cSAPs) to Regulate Bacterial and Human Stem Cell Response at Biointerfaces In Vitro and In Vivo

Yue Shi; Jiao Lin; Xuelian Tao; Jing Qu; Shumin Liao; Mengyao Li; Ke Deng; Ping Du; Kun Liu; Helmut Thissen; Liang Li; Peter Kingshott; Peng-Yuan Wang

doi:10.1021/acsami.1c02591

journal article·2021-05-12

Harnessing Colloidal Self-Assembled Patterns (cSAPs) to Regulate Bacterial and Human Stem Cell Response at Biointerfaces In Vitro and In Vivo

Yue Shi, Jiao Lin, Xuelian Tao, Jing Qu, Shumin Liao, Mengyao Li, Ke Deng, Ping Du, Kun Liu, Helmut Thissen, Liang Li, Peter Kingshott, Peng-Yuan Wang

ACS Applied Materials & Interfaces· Volume 13· Issue 18

Publisher page

Source abstract

Abstract

The generation of complex physicochemical signals on the surface of biomedical materials is still challenging despite the fact that a broad range of surface modification methods have been developed over the last few decades. Colloidal self-assembled patterns (cSAPs) are combinations of unique colloids differing in size and surface chemistry acting as building blocks that can be programmed to generate surface patterns with exquisite control of complexity. This study reports on producing a variety of pre-modified colloids for the fabrication of cSAPs as well as post-assembly modifications to yield complex surfaces. The surface of cSAPs presents hierarchical micro- and nanostructures, localized hydrophilic/hydrophobic characteristics, and tunable surface functionality imparted by the individual colloids. The selected cSAPs can control bacterial adhesion (S. aureus, P. aeruginosa, and E. coli) and affect the cell cycle of human bone marrow stem cells (hBMSCs). Moreover, in a mouse subcutaneous model, cSAPs with selective [2-(methacryloyloxy)ethyl]dimethyl-(3-sulfopropyl)ammonium (SBMA) modification can reduce the inflammatory response after being challenged with bacteria. This study reveals that functionalized cSAPs are versatile tools for controlling cellular responses at biointerfaces, which is instructive for biomaterials or biodevices.

Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

Nanomaterials Biomaterials

OpenAlex topics: 3D Printing in Biomedical Research · Polymer Surface Interaction Studies · Bacterial biofilms and quorum sensing

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

Affiliations

Shenzhen Key Laboratory of Biomimetic Materials and Cellular Immunomodulation, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China

Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055 China

Department of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, Victoria 3800, Australia

Department of Otolaryngology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Guangdong 519020, China

CSIRO Manufacturing, Research Way, Clayton, 3168 Victoria, Australia

Australian Research Council (ARC) Training Centre in Surface Engineering for Advanced Materials (SEAM), Department of Chemistry and Biotechnology, School of Science, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia

Funding

Ministry of Science and Technology of the People's Republic of China · Australian Research Council · Science, Technology and Innovation Commission of Shenzhen Municipality · National Natural Science Foundation of China

References (32)

Show source-provided references

1. 10.1038/natrevmats.2017.9110.1038/natrevmats.2017.91 ↗

2. 10.1021/acs.chemrev.6b0065410.1021/acs.chemrev.6b00654 ↗

3. 10.1039/c0cs00124d10.1039/c0cs00124d ↗

4. 10.1016/j.actbio.2016.08.05410.1016/j.actbio.2016.08.054 ↗

5. 10.1038/s41563-017-0014-010.1038/s41563-017-0014-0 ↗

6. 10.1038/nmat201310.1038/nmat2013 ↗

7. 10.1021/acsbiomaterials.9b0180610.1021/acsbiomaterials.9b01806 ↗

8. 10.1146/annurev-physchem-050317-02123710.1146/annurev-physchem-050317-021237 ↗

9. 10.1126/science.122422110.1126/science.1224221 ↗

10. 10.1002/adma.20100465710.1002/adma.201004657 ↗

11. 10.1039/C4TB02006E10.1039/C4TB02006E ↗

12. 10.1002/smll.20170357410.1002/smll.201703574 ↗

13. 10.1021/acsami.8b1709010.1021/acsami.8b17090 ↗

14. 10.1021/acsami.5b1266010.1021/acsami.5b12660 ↗

15. 10.1038/srep3684510.1038/srep36845 ↗

16. 10.1038/s41579-020-0414-z10.1038/s41579-020-0414-z ↗

17. 10.1002/adma.20100121510.1002/adma.201001215 ↗

18. 10.1038/s41556-018-0124-110.1038/s41556-018-0124-1 ↗

19. 10.1038/s41556-018-0133-010.1038/s41556-018-0133-0 ↗

20. 10.1146/annurev.cellbio.20.010403.11312610.1146/annurev.cellbio.20.010403.113126 ↗

21. 10.1172/JCI7005010.1172/JCI70050 ↗

22. 10.1038/sj.onc.120861510.1038/sj.onc.1208615 ↗

23. 10.1016/j.cell.2017.08.02810.1016/j.cell.2017.08.028 ↗

24. 10.1186/s40168-015-0144-z10.1186/s40168-015-0144-z ↗

25. 10.1038/nri339910.1038/nri3399 ↗

26. 10.1038/s41579-018-0019-y10.1038/s41579-018-0019-y ↗

27. 10.1128/IAI.71.10.5803-5813.200310.1128/IAI.71.10.5803-5813.2003 ↗

28. 10.1093/bioinformatics/btp61610.1093/bioinformatics/btp616 ↗

29. 10.1111/j.2517-6161.1995.tb02031.x10.1111/j.2517-6161.1995.tb02031.x ↗

30. 10.1093/nar/gkr98810.1093/nar/gkr988 ↗

31. 10.1093/bib/bbr04110.1093/bib/bbr041 ↗

32. 10.1093/nar/gkz94910.1093/nar/gkz949 ↗