The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Options and Limitations in Clinical Investigation of Bacterial Biofilms
Open accessAbstract
SUMMARY: Bacteria can form single- and multispecies biofilms exhibiting diverse features based upon the microbial composition of their community and microenvironment. The study of bacterial biofilm development has received great interest in the past 20 years and is motivated by the elegant complexity characteristic of these multicellular communities and their role in infectious diseases. Biofilms can thrive on virtually any surface and can be beneficial or detrimental based upon the community's interplay and the surface. Advances in the understanding of structural and functional variations and the roles that biofilms play in disease and host-pathogen interactions have been addressed through comprehensive literature searches. In this review article, a synopsis of the methodological landscape of biofilm analysis is provided, including an evaluation of the current trends in methodological research. We deem this worthwhile because a keyword-oriented bibliographical search reveals that less than 5% of the biofilm literature is devoted to methodology. In this report, we (i) summarize current methodologies for biofilm characterization, monitoring, and quantification; (ii) discuss advances in the discovery of effective imaging and sensing tools and modalities; (iii) provide an overview of tailored animal models that assess features of biofilm infections; and (iv) make recommendations defining the most appropriate methodological tools for clinical settings.
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Cites
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
Lewis, K. (2010) · Annual Review of Microbiology · doi:10.1146/annurev.micro.112408.134306 · Cited by 1,858
Oral multispecies biofilm development and the key role of cell–cell distance
Kolenbrander, P. E., Palmer, R. J., Periasamy, S., & Jakubovics, N. S. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2381 · Cited by 1,309
Strategies for combating bacterial biofilm infections
Wu, H., Moser, C., Wang, H.-Z., Høiby, N., & Song, Z.-J. (2015) · International Journal of Oral Science · doi:10.1038/ijos.2014.65 · Cited by 925
d -Amino Acids Trigger Biofilm Disassembly
Kolodkin-Gal, I., Romero, D., Cao, S., Clardy, J., Kolter, R., & Losick, R. (2010) · Science · doi:10.1126/science.1188628 · Cited by 874
Imaging mass spectrometry in microbiology
Watrous, J. D., & Dorrestein, P. C. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2634 · Cited by 338
Thomas, V. C., Thurlow, L. R., Boyle, D., & Hancock, L. E. (2008) · Journal of Bacteriology · doi:10.1128/jb.00314-08 · Cited by 302
Ryall, B., Eydallin, G., & Ferenci, T. (2012) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.05028-11 · Cited by 160
Breshears, L. M., Edwards, V. L., Ravel, J., & Peterson, M. L. (2015) · BMC Microbiology · doi:10.1186/s12866-015-0608-0 · Cited by 140
Nusbaum, A. G., Gil, J., Rippy, M. K., Warne, B., Valdes, J., Claro, A., & Davis, S. C. (2012) · Journal of Surgical Research · doi:10.1016/j.jss.2011.11.1040 · Cited by 75
Shanmugam, M., Gopal, P., El Abbar, F., Schreiner, H. C., Kaplan, J. B., Fine, D. H., & Ramasubbu, N. (2015) · PLOS ONE · doi:10.1371/journal.pone.0117487 · Cited by 19
Infection of Plants and Plant Tissue Cultures with Cyanobacteria–Bacteria Complexes
Lobakova, E. S., Shchelmanova, A. G., Korzhenevskaya, T. G., & Gusev, M. V. (2001) · Microbiology · doi:10.1023/a:1010451210773 · Cited by 19
Cited by
Propidium iodide staining underestimates viability of adherent bacterial cells
Rosenberg, M., Azevedo, N. F., & Ivask, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-42906-3 · Cited by 447
Singh, S., Muniz De Oliveira, F., Wang, C., Kumar, M., Xuan, Y., DeMazumder, D., Sen, C. K., & Roy, S. (2025) · Advances in Wound Care · doi:10.1089/wound.2024.0291 · Cited by 6
Metadata
- Authors
- Magana, M., Sereti, C., Ioannidis, A., Mitchell, C. A., Ball, A. R., Magiorkinis, E., Chatzipanagiotou, S., Hamblin, M. R., Hadjifrangiskou, M., & Tegos, G. P.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2018-07
- Volume
- 31
- Issue
- 3
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2796114057
- Cited by
- 242
- References
- 12
- FWCI
- 8.24
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
