Abstract

For chronic wounds, biofilm infection is a critical issue because it can tip the scales toward an unhealing state. Biofilm-based wound therapy has been extensively advocated. However, point-of-care biofilm diagnosis still largely relies on clinical judgment. In this study, we aimed to develop a rapid tool for diagnosing wound biofilm presence by alcian blue staining. First, we sought to optimize alcian blue staining using a colorimetric-based approach to detect the biofilm, specifically targeting polysaccharides in the extracellular polymeric substances. Among examined transfer membranes and cationic detergents at various concentrations, we selected a positively charged nylon transfer membrane for sample loading, and 1% cetyl trimethyl ammonium chloride (CTAC) as the blocking solution. After sample loading and blocking, the membrane was immersed in alcian blue solution for staining, followed by immersion in 1% CTAC to decrease background noise. Each step required only 30 seconds, and the whole procedure was completed within a few minutes. In the second part of this study, we enrolled 31 patients with chronic wounds to investigate the predictive validity of biofilm detection for unhealed wounds at a 1-month follow-up visit. Among the 18 cases with positive wound biofilm staining, 15 wounds (83.3%) were not healed at the 1-month follow-up visit. Only three unhealed wounds (30%) produced in negative staining cases. This finding indicates that biofilm infection is associated with poor healing outcome for chronic wounds. Moreover, our staining results correlated well with the clinical microbiological culture assessment (83.9% consistency; 95.2% sensitivity, and 60% specificity). In conclusion, the modified alcian blue staining protocol used here represents a rapid and sensitive procedure for detecting biofilm in chronic wounds. This technique provides a practical point-of-care approach for detection of wound biofilm, the implementation of which may improve clinical outcomes for chronic wound patients. Additional studies are required to validate this method.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.