The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
The Complex Relationship between Virulence and Antibiotic Resistance
Open accessAbstract
Antibiotic resistance, prompted by the overuse of antimicrobial agents, may arise from a variety of mechanisms, particularly horizontal gene transfer of virulence and antibiotic resistance genes, which is often facilitated by biofilm formation. The importance of phenotypic changes seen in a biofilm, which lead to genotypic alterations, cannot be overstated. Irrespective of if the biofilm is single microbe or polymicrobial, bacteria, protected within a biofilm from the external environment, communicate through signal transduction pathways (e.g., quorum sensing or two-component systems), leading to global changes in gene expression, enhancing virulence, and expediting the acquisition of antibiotic resistance. Thus, one must examine a genetic change in virulence and resistance not only in the context of the biofilm but also as inextricably linked pathologies. Observationally, it is clear that increased virulence and the advent of antibiotic resistance often arise almost simultaneously; however, their genetic connection has been relatively ignored. Although the complexities of genetic regulation in a multispecies community may obscure a causative relationship, uncovering key genetic interactions between virulence and resistance in biofilm bacteria is essential to identifying new druggable targets, ultimately providing a drug discovery and development pathway to improve treatment options for chronic and recurring infection.
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Cites
Bacterial Biofilms: A Common Cause of Persistent Infections
Costerton, J. W., Stewart, P. S., & Greenberg, E. P. (1999) · Science · doi:10.1126/science.284.5418.1318 · Cited by 12,167
Origins and evolution of antibiotic resistance
Davies, J., & Davies, D. (2010) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00016-10 · Cited by 5,784
Miller, M. B., & Bassler, B. L. (2001) · Annual Review of Microbiology · doi:10.1146/annurev.micro.55.1.165 · Cited by 5,105
Antibiotic resistance of bacteria in biofilms
Stewart, P. S., & William Costerton, J. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05321-1 · Cited by 4,585
Molecular mechanisms of antibiotic resistance
Blair, J. M. A., Webber, M. A., Baylay, A. J., Ogbolu, D. O., & Piddock, L. J. V. (2015) · Nature Reviews Microbiology · doi:10.1038/nrmicro3380 · Cited by 4,092
Mechanisms of biofilm resistance to antimicrobial agents
Mah, T.-F. C., & O'Toole, G. A. (2001) · Trends in Microbiology · doi:10.1016/s0966-842x(00)01913-2 · Cited by 3,921
The Involvement of Cell-to-Cell Signals in the Development of a Bacterial Biofilm
Davies, D. G., Parsek, M. R., Pearson, J. P., Iglewski, B. H., Costerton, J. W., & Greenberg, E. P. (1998) · Science · doi:10.1126/science.280.5361.295 · Cited by 3,396
Antibiotic resistance of bacterial biofilms
Høiby, N., Bjarnsholt, T., Givskov, M., Molin, S., & Ciofu, O. (2010) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2009.12.011 · Cited by 3,225
Biofilms as Complex Differentiated Communities
Stoodley, P., Sauer, K., Davies, D. G., & Costerton, J. W. (2002) · Annual Review of Microbiology · doi:10.1146/annurev.micro.56.012302.160705 · Cited by 3,158
Microbial Biofilms: from Ecology to Molecular Genetics
Davey, M. E., & O'toole, G. A. (2000) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.64.4.847-867.2000 · Cited by 3,086
Cited by
Sony, M., Sumithra, T. G., Anusree, V. N., Amala, P. V., Reshma, K. J., Alex, S., & Sanil, N. K. (2021) · Aquaculture · doi:10.1016/j.aquaculture.2021.736608 · Cited by 106
Metadata
- Authors
- Schroeder, M., Brooks, B., & Brooks, A.
- Venue
- Genes
- Publisher
- MDPI AG
- Published
- 2017-01-18
- Volume
- 8
- Issue
- 1
- Pages
- 39
- ISSN
- 2073-4425 (ISSN-L)
- OpenAlex
- W2579748466
- Cited by
- 304
- References
- 170
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.