The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Medical Applications of Porous Biomaterials: Features of Porosity and Tissue‐Specific Implications for Biocompatibility
Open accessAbstract
Porosity is an important material feature commonly employed in implants and tissue scaffolds. The presence of material voids permits the infiltration of cells, mechanical compliance, and outward diffusion of pharmaceutical agents. Various studies have confirmed that porosity indeed promotes favorable tissue responses, including minimal fibrous encapsulation during the foreign body reaction (FBR). However, increased biofilm formation and calcification is also described to arise due to biomaterial porosity. Additionally, the relevance of host responses like the FBR, infection, calcification, and thrombosis are dependent on tissue location and specific tissue microenvironment. In this review, the features of porous materials and the implications of porosity in the context of medical devices is discussed. Common methods to create porous materials are also discussed, as well as the parameters that are used to tune pore features. Responses toward porous biomaterials are also reviewed, including the various stages of the FBR, hemocompatibility, biofilm formation, and calcification. Finally, these host responses are considered in tissue specific locations including the subcutis, bone, cardiovascular system, brain, eye, and female reproductive tract. The effects of porosity across the various tissues of the body is highlighted and the need to consider the tissue context when engineering biomaterials is emphasized.
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Cites
Additive manufacturing (3D printing): A review of materials, methods, applications and challenges
Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T. Q., & Hui, D. (2018) · Composites Part B: Engineering · doi:10.1016/j.compositesb.2018.02.012 · Cited by 8,431
Biofilms: Survival Mechanisms of Clinically Relevant Microorganisms
Donlan, R. M., & Costerton, J. W. (2002) · Clinical Microbiology Reviews · doi:10.1128/cmr.15.2.167-193.2002 · Cited by 6,644
Foreign body reaction to biomaterials
Anderson, J. M., Rodriguez, A., & Chang, D. T. (2008) · Seminars in Immunology · doi:10.1016/j.smim.2007.11.004 · Cited by 5,138
The Osteocyte: An Endocrine Cell … and More
Dallas, S. L., Prideaux, M., & Bonewald, L. F. (2013) · Endocrine Reviews · doi:10.1210/er.2012-1026 · Cited by 1,042
Brown, B. N., Ratner, B. D., Goodman, S. B., Amar, S., & Badylak, S. F. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2012.02.034 · Cited by 926
Brain regulatory T cells suppress astrogliosis and potentiate neurological recovery
Ito, M., Komai, K., Mise-Omata, S., Iizuka-Koga, M., Noguchi, Y., Kondo, T., Sakai, R., Matsuo, K., Nakayama, T., Yoshie, O., et al. (2019) · Nature · doi:10.1038/s41586-018-0824-5 · Cited by 784
Materials and technologies for soft implantable neuroprostheses
Lacour, S. P., Courtine, G., & Guck, J. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.63 · Cited by 738
Neural recording and modulation technologies
Chen, R., Canales, A., & Anikeeva, P. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.93 · Cited by 655
Keun Kwon, I., Kidoaki, S., & Matsuda, T. (2005) · Biomaterials · doi:10.1016/j.biomaterials.2004.10.007 · Cited by 607
Next-generation probes, particles, and proteins for neural interfacing
Rivnay, J., Wang, H., Fenno, L., Deisseroth, K., & Malliaras, G. G. (2017) · Science Advances · doi:10.1126/sciadv.1601649 · Cited by 514
Garg, K., Pullen, N. A., Oskeritzian, C. A., Ryan, J. J., & Bowlin, G. L. (2013) · Biomaterials · doi:10.1016/j.biomaterials.2013.02.065 · Cited by 457
Proteins, platelets, and blood coagulation at biomaterial interfaces
Xu, L.-C., Bauer, J. W., & Siedlecki, C. A. (2014) · Colloids and Surfaces B: Biointerfaces · doi:10.1016/j.colsurfb.2014.09.040 · Cited by 391
Progress towards biocompatible intracortical microelectrodes for neural interfacing applications
Jorfi, M., Skousen, J. L., Weder, C., & Capadona, J. R. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/1/011001 · Cited by 384
Freeze casting of porous materials: review of critical factors in microstructure evolution
Li, W. L., Lu, K., & Walz, J. Y. (2012) · International Materials Reviews · doi:10.1179/1743280411y.0000000011 · Cited by 372
Macrophage reaction against biomaterials in the mouse model–phenotypes, functions and markers
Klopfleisch, R. (2016) · Acta Biomaterialia · doi:10.1016/j.actbio.2016.07.003 · Cited by 298
Saino, E., Focarete, M. L., Gualandi, C., Emanuele, E., Cornaglia, A. I., Imbriani, M., & Visai, L. (2011) · Biomacromolecules · doi:10.1021/bm200248h · Cited by 285
Taylor, A. W. (2009) · Eye · doi:10.1038/eye.2008.382 · Cited by 253
Biomaterial topography alters healing in vivo and monocyte/macrophage activation in vitro
Bota, P. C. S., Collie, A. M. B., Puolakkainen, P., Vernon, R. B., Sage, E. H., Ratner, B. D., & Stayton, P. S. (2010) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.32893 · Cited by 186
Ward, W. K., Slobodzian, E. P., Tiekotter, K. L., & Wood, M. D. (2002) · Biomaterials · doi:10.1016/s0142-9612(02)00160-6 · Cited by 176
Tylek, T., Blum, C., Hrynevich, A., Schlegelmilch, K., Schilling, T., Dalton, P. D., & Groll, J. (2020) · Biofabrication · doi:10.1088/1758-5090/ab5f4e · Cited by 161
Wang, X., Maxwell, K. G., Wang, K., Bowers, D. T., Flanders, J. A., Liu, W., Wang, L.-H., Liu, Q., Liu, C., Naji, A., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abb4601 · Cited by 119
A pore way to heal and regenerate: 21st century thinking on biocompatibility
Ratner, B. D. (2016) · Regenerative Biomaterials · doi:10.1093/rb/rbw006 · Cited by 101
Wang, X., Zhai, W., Wu, C., Ma, B., Zhang, J., Zhang, H., Zhu, Z., & Chang, J. (2015) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.01.028 · Cited by 73
A mouse model to evaluate the interface between skin and a percutaneous device
Isenhath, S. N., Fukano, Y., Usui, M. L., Underwood, R. A., Irvin, C. A., Marshall, A. J., Hauch, K. D., Ratner, B. D., Fleckman, P., & Olerud, J. E. (2007) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.31391 · Cited by 59
Underwood, R. A., Usui, M. L., Zhao, G., Hauch, K. D., Takeno, M. M., Ratner, B. D., Marshall, A. J., Shi, X., Olerud, J. E., & Fleckman, P. (2011) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.33125 · Cited by 52
Surface-modified titanium to enhance osseointegration in dental implants
SARINNAPHAKORN, L., & DI SILVIO, L. (2009) · Cellular Response to Biomaterials · doi:10.1533/9781845695477.3.572 · Cited by 4
Metadata
- Authors
- Hernandez, J. L., & Woodrow, K. A.
- Venue
- Advanced Healthcare Materials
- Publisher
- Wiley
- Published
- 2022-02-19
- Volume
- 11
- Issue
- 9
- Pages
- e2102087-e2102087
- ISSN
- 2192-2640 (ISSN-L)
- 2192-2659
- OpenAlex
- W4210940352
- Cited by
- 259
- References
- 26
- FWCI
- 12.89
- Type
- journal article
- Language
- en
- Open access
- green
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