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Bacterial Biofilm in Chronic Wounds and Possible Therapeutic Approaches
Abstract
Wound repair and skin regeneration is a very complex orchestrated process that is generally composed of four phases: hemostasis, inflammation, proliferation, and remodeling. Each phase involves the activation of different cells and the production of various cytokines, chemokines, and other inflammatory mediators affecting the immune response. The microbial skin composition plays an important role in wound healing. Indeed, skin commensals are essential in the maintenance of the epidermal barrier function, regulation of the host immune response, and protection from invading pathogenic microorganisms. Chronic wounds are common and are considered a major public health problem due to their difficult-to-treat features and their frequent association with challenging chronic infections. These infections can be very tough to manage due to the ability of some bacteria to produce multicellular structures encapsulated into a matrix called biofilms. The bacterial species contained in the biofilm are often different, as is their capability to influence the healing of chronic wounds. Biofilms are, in fact, often tolerant and resistant to antibiotics and antiseptics, leading to the failure of treatment. For these reasons, biofilms impede appropriate treatment and, consequently, prolong the wound healing period. Hence, there is an urgent necessity to deepen the knowledge of the pathophysiology of delayed wound healing and to develop more effective therapeutic approaches able to restore tissue damage. This work covers the wound-healing process and the pathogenesis of chronic wounds infected by biofilm-forming pathogens. An overview of the strategies to counteract biofilm formation or to destroy existing biofilms is also provided.
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“Chronic wounds with biofilms are more likely to develop recalcitrant severe infections, leading to complications such as amputation and tissue necrosis.3”
From SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning (2025) · cites this paper as [3]
In the citing paper
“The extent to which the BFI burden negatively impacts wound healing outcomes depends on the balance between BFI threat and countering defenses, including host factors and therapeutic intervention.1,3,14,15”
From SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning (2025) · cites this paper as [3]
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Biofilms and Inflammation in Chronic Wounds
Zhao, G., Usui, M. L., Lippman, S. I., James, G. A., Stewart, P. S., Fleckman, P., & Olerud, J. E. (2013) · Advances in Wound Care · doi:10.1089/wound.2012.0381 · Cited by 448 · cited 3×
“Chronic wounds represent an ideal environment for biofilm formation as necrotic tissue and debris allow for bacterial attachment, and wounds are more susceptible to infection due to an impaired host immune response [69,70].”
BackgroundPastar, I., Nusbaum, A. G., Gil, J., Patel, S. B., Chen, J., Valdes, J., Stojadinovic, O., Plano, L. R., Tomic-Canic, M., & Davis, S. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056846 · Cited by 391
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Cited by
Sorted by citations
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
- Cavallo, I., Sivori, F., Mastrofrancesco, A., Abril, E., Pontone, M., Di Domenico, E. G., & Pimpinelli, F.
- Venue
- Biology
- Publisher
- MDPI AG
- Published
- 2024-02-09
- Volume
- 13
- Issue
- 2
- Pages
- 109
- ISSN
- 2079-7737
- PMC
- PMC10886835
- Cited by
- 213
- References
- 13
- Language
- en
- Funders
- Italian Ministry of Health (Ricerca Corrente)
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bacterial Biofilm in Chronic Wounds and Possible Therapeutic Approaches. https://app.cochat.ai/papers/10.3390/biology13020109
- The paper
- Cavallo, I., Sivori, F., Mastrofrancesco, A., Abril, E., Pontone, M., Di Domenico, E. G., & Pimpinelli, F. (2024). Bacterial Biofilm in Chronic Wounds and Possible Therapeutic Approaches. Biology. https://doi.org/10.3390/biology13020109