Literature DB >> 21388768

Novel peptidoglycan-based diagnostic devices for detection of wound infection.

Andrea Hasmann1, Eva Wehrschuetz-Sigl, Gertraud Kanzler, Ulrike Gewessler, Elisabeth Hulla, Konstantin P Schneider, Barbara Binder, Michael Schintler, Georg M Guebitz.   

Abstract

Detection of wound infection is based on evaluation of the well-known signs of inflammation like rubor (redness), calor (heat), tumor (swelling), and dolor (pain) by medical doctors and/or time-consuming procedures requiring special machinery. There is currently no rapid diagnostic device available for the indication of wound infection, which would especially be helpful in home care of chronic ulcer patients. In this study, a new concept for a fast diagnostic tool for wound infection based on lysozyme and elastase triggered release of dye from a peptidoglycan matrix was investigated. The matrix consisted of alginate/agarose and peptidoglycan covalently labeled with Remazol brilliant blue. Lysozyme activity in postoperative wounds and decubitus wound fluids was significantly elevated upon infection (4830 ± 1848 U mL(-1)) compared to noninfected wounds (376 ± 240 U mL(-1)). Consequently, incubation of 8% (w/v) labeled agarose/peptidoglycan blend layers with infected wound fluid samples for 2 h at 37 °C resulted in a 4-fold higher amount of dye released than measured for noninfected wounds. For alginate/peptidoglycan beads, a 7-fold higher amount of dye was released in case of infected wound fluid samples compared to noninfected ones. Apart from lysozyme, proteases [i.e., gelatinase matrix metalloproteinase MMP-2 and MMP-9 and elastase] were detected in wound fluids (e.g., using Western blotting). When dosed in ratios typical for wounds, a slight synergistic effect was measured for peptidoglycan hydrolysis (i.e., dye release) between lysozyme and these proteases. Incubation of a double-layer system consisting of stained and nonstained peptidoglycan with infected wound fluids resulted in a color change from yellow to blue, thus allowing simple visual detection of wound infection.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21388768     DOI: 10.1016/j.diagmicrobio.2010.09.009

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


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