The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Bioactive potential of natural biomaterials: identification, retention and assessment of biological properties
Open accessAbstract
Biomaterials have had an increasingly important role in recent decades, in biomedical device design and the development of tissue engineering solutions for cell delivery, drug delivery, device integration, tissue replacement, and more. There is an increasing trend in tissue engineering to use natural substrates, such as macromolecules native to plants and animals to improve the biocompatibility and biodegradability of delivered materials. At the same time, these materials have favourable mechanical properties and often considered to be biologically inert. More importantly, these macromolecules possess innate functions and properties due to their unique chemical composition and structure, which increase their bioactivity and therapeutic potential in a wide range of applications. While much focus has been on integrating these materials into these devices via a spectrum of cross-linking mechanisms, little attention is drawn to residual bioactivity that is often hampered during isolation, purification, and production processes. Herein, we discuss methods of initial material characterisation to determine innate bioactivity, means of material processing including cross-linking, decellularisation, and purification techniques and finally, a biological assessment of retained bioactivity of a final product. This review aims to address considerations for biomaterials design from natural polymers, through the optimisation and preservation of bioactive components that maximise the inherent bioactive potency of the substrate to promote tissue regeneration.
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Cites
Matrix elasticity directs stem cell lineage specification
Engler, A. J., Sen, S., Sweeney, H. L., & Discher, D. E. (2006) · Cell · doi:10.1016/j.cell.2006.06.044 · Cited by 13,915
Tjäderhane, L., Buzalaf, M. A. R., Carrilho, M., & Chaussain, C. (2015) · Caries Research · doi:10.1159/000363582 · Cited by 2,306
Extracellular Matrix Degradation and Remodeling in Development and Disease
Lu, P., Takai, K., Weaver, V. M., & Werb, Z. (2011) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005058 · Cited by 2,265
Regulation of lung injury and repair by Toll-like receptors and hyaluronan
Jiang, D., Liang, J., Fan, J., Yu, S., Chen, S., Luo, Y., Prestwich, G. D., Mascarenhas, M. M., Garg, H. G., Quinn, D. A., et al. (2005) · Nature Medicine · doi:10.1038/nm1315 · Cited by 1,401
Oligosaccharides of Hyaluronan Activate Dendritic Cells via Toll-like Receptor 4
Termeer, C., Benedix, F., Sleeman, J., Fieber, C., Voith, U., Ahrens, T., Miyake, K., Freudenberg, M., Galanos, C., & Simon, J. C. (2002) · The Journal of Experimental Medicine · doi:10.1084/jem.20001858 · Cited by 1,378
PTPσ Is a Receptor for Chondroitin Sulfate Proteoglycan, an Inhibitor of Neural Regeneration
Shen, Y., Tenney, A. P., Busch, S. A., Horn, K. P., Cuascut, F. X., Liu, K., He, Z., Silver, J., & Flanagan, J. G. (2009) · Science · doi:10.1126/science.1178310 · Cited by 682
Davidenko, N., Schuster, C. F., Bax, D. V., Farndale, R. W., Hamaia, S., Best, S. M., & Cameron, R. E. (2016) · Journal of Materials Science: Materials in Medicine · doi:10.1007/s10856-016-5763-9 · Cited by 454
NgR1 and NgR3 are receptors for chondroitin sulfate proteoglycans
Dickendesher, T. L., Baldwin, K. T., Mironova, Y. A., Koriyama, Y., Raiker, S. J., Askew, K. L., Wood, A., Geoffroy, C. G., Zheng, B., Liepmann, C. D., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3070 · Cited by 449
Heparan sulfate proteoglycan as a cell-surface endocytosis receptor
Christianson, H. C., & Belting, M. (2014) · Matrix Biology · doi:10.1016/j.matbio.2013.10.004 · Cited by 429
Collagen—emerging collagen based therapies hit the patient
Abou Neel, E. A., Bozec, L., Knowles, J. C., Syed, O., Mudera, V., Day, R., & Hyun, J. K. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.08.010 · Cited by 296
Cited by
Stimuli-Responsive Polymer-Based Nanosystems for Cancer Theranostics
Wei, D., Sun, Y., Zhu, H., & Fu, Q. (2023) · ACS Nano · doi:10.1021/acsnano.3c06019 · Cited by 303
Metadata
- Authors
- Joyce, K., Fabra, G. T., Bozkurt, Y., & Pandit, A.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2021-03-19
- Volume
- 6
- Issue
- 1
- Pages
- 122-122
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W3138816562
- Cited by
- 316
- References
- 20
- FWCI
- 39.19
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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