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Collecting And Measuring Wound Exudate Biochemical Mediators In Surgical Wounds
Published on: October 20, 2012
SPaCE Swab: Point-of-Care Sensor for Simple and Rapid Detection of Acute Wound Infection
Naing Tun Thet1, June Mercer-Chalmers1, Rosemary J Greenwood2
1Chemistry Department, University of Bath, Bath BA2 7AY, United Kingdom.
Abstract:
Wound infection is commonly observed after surgery and trauma but is difficult to diagnose and poorly defined in terms of objective clinical parameters. The assumption that bacteria in a wound correlate with infection is false; all wounds contain microorganisms, but not all wounds are clinically infected. This makes it difficult for clinicians to determine true wound infection, especially in wounds with pathogenic biofilms. If an infection is not properly treated, pathogenic virulence factors, such as rhamnolipids from Pseudomonas aeruginosa, can modulate the host immune response and cause tissue breakdown. Life-threatening sepsis can result if the organisms penetrate deep into host tissue. This communication describes the sensor development for five important clinical microbial pathogens commonly found in wounds: Staphylococcus aureus, P. aeruginosa, Candida albicans/auris, and Enterococcus faecalis (the SPaCE pathogens). The sensor contains liposomes encapsulating a self-quenched fluorescent dye. Toxins, expressed by SPaCE infecting pathogens in early-stage infected wounds, break down the liposomes, triggering dye release, thus changing the sensor color from yellow to green, an indication of infection. Five clinical species of bacteria and fungi, up to 20 strains each (totaling 83), were grown as early-stage biofilms in ex vivo porcine burn wounds. The biofilms were then swabbed, and the swab placed in the liposome suspension. The population density of selected pathogens in a porcine wound biofilm was quantified and correlated with colorimetric response. Over 88% of swabs switched the sensor on (107-108 CFU/swab). A pilot clinical study demonstrated a good correlation between sensor switch-on and early-stage wound infection.
Insights
A novel sensor detects early-stage wound infections by identifying toxins from common pathogens like Staphylococcus aureus and Pseudomonas aeruginosa. This colorimetric tool offers a promising, objective method for diagnosing wound infections, improving patient outcomes.
Area of Science:
- Biomedical Engineering
- Microbiology
- Infectious Diseases
Background:
- Wound infection diagnosis is challenging due to the presence of microorganisms in all wounds, not just infected ones.
- Pathogenic biofilms and virulence factors complicate the identification of true clinical infection.
- Early and accurate detection of wound infections is crucial to prevent complications like sepsis.
Purpose of the Study:
- To develop and validate a novel sensor for the early detection of key clinical microbial pathogens in wounds.
- To address the diagnostic limitations of current methods for wound infection.
- To identify specific pathogens including Staphylococcus aureus, Pseudomonas aeruginosa, Candida albicans/auris, and Enterococcus faecalis (SPaCE pathogens).
Main Methods:
- Development of a liposome-based sensor encapsulating a self-quenched fluorescent dye.
- The sensor detects toxins released by pathogens, causing liposome breakdown and a color change from yellow to green.
- Testing of the sensor using early-stage biofilms of SPaCE pathogens grown on ex vivo porcine burn wounds.
Main Results:
- The sensor demonstrated a color change in over 88% of swabs from infected porcine wound biofilms (10^7-10^8 CFU/swab).
- Quantification of pathogen population density correlated with the sensor's colorimetric response.
- A pilot clinical study showed good correlation between sensor activation and early-stage wound infection.
Conclusions:
- The developed liposome-based sensor provides a reliable and objective method for early wound infection detection.
- This technology has the potential to significantly improve the clinical management of wound infections.
- The sensor's colorimetric output offers a user-friendly indicator of infection presence.
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