The DOI matches its Crossref record; 247 of the 247 references it cites were found in a registry or an index.
New Perspectives on the Use of Phytochemicals as an Emergent Strategy to Control Bacterial Infections Including Biofilms
Open accessAbstract
The majority of current infectious diseases are almost untreatable by conventional antibiotic therapy given the advent of multidrug-resistant bacteria. The degree of severity and the persistence of infections are worsened when microorganisms form biofilms. Therefore, efforts are being applied to develop new drugs not as vulnerable as the current ones to bacterial resistance mechanisms, and also able to target bacteria in biofilms. Natural products, especially those obtained from plants, have proven to be outstanding compounds with unique properties, making them perfect candidates for these much-needed therapeutics. This review presents the current knowledge on the potentialities of plant products as antibiotic adjuvants to restore the therapeutic activity of drugs. Further, the difficulties associated with the use of the existing antibiotics in the treatment of biofilm-related infections are described. To counteract the biofilm resistance problems, innovative strategies are suggested based on literature data. Among the proposed strategies, the use of phytochemicals to inhibit or eradicate biofilms is highlighted. An overview on the use of phytochemicals to interfere with bacterial quorum sensing (QS) signaling pathways and underlying phenotypes is provided. The use of phytochemicals as chelating agents and efflux pump inhibitors is also reviewed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Flemming, H.-C., & Wingender, J. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2415 · Cited by 10,137
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
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
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
Biofilms: Microbial Life on Surfaces
Donlan, R. M. (2002) · Emerging Infectious Diseases · doi:10.3201/eid0809.020063 · Cited by 4,145
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
Plant pathogens and integrated defence responses to infection
Dangl, J. L., & Jones, J. D. G. (2001) · Nature · doi:10.1038/35081161 · Cited by 3,949
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
Extended-Spectrum β-Lactamases: a Clinical Update
Paterson, D. L., & Bonomo, R. A. (2005) · Clinical Microbiology Reviews · doi:10.1128/cmr.18.4.657-686.2005 · Cited by 3,491
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
Cited by
Borges, A., José, H., Homem, V., & Simões, M. (2020) · Antibiotics · doi:10.3390/antibiotics9020048 · Cited by 184
“These are primarily used to protect themselves from external stresses and pathogen attacks [3].”
BackgroundSelf-citationMorguette, A. E. B., Bartolomeu-Gonçalves, G., Andriani, G. M., Bertoncini, G. E. S., de Castro, I. M., de Almeida Spoladori, L. F., Bertão, A. M. S., Tavares, E. R., Yamauchi, L. M., & Yamada-Ogatta, S. F. (2023) · Plants · doi:10.3390/plants12112147 · Cited by 31
Metadata
- Authors
- Borges, A., Abreu, A., Dias, C., Saavedra, M., Borges, F., & Simões, M.
- Venue
- Molecules
- Publisher
- MDPI AG
- Published
- 2016-07-05
- Volume
- 21
- Issue
- 7
- Pages
- 877
- ISSN
- 1420-3049 (ISSN-L)
- OpenAlex
- W2467458514
- Cited by
- 308
- References
- 247
- FWCI
- 9.18
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
