Real-time PCR assays compared to culture-based approaches for identification of aerobic bacteria in chronic wounds.

Chronic wounds cause substantial morbidity and disability. Infection in chronic wounds is clinically defined by routine culture methods that can take several days to obtain a final result, and may not fully describe the community of organisms or biome within these wounds. Molecular diagnostic approaches offer promise for a more rapid and complete assessment. We report the development of a suite of real-time PCR assays for rapid identification of bacteria directly from tissue samples. The panel of assays targets 14 common, clinically relevant, aerobic pathogens and demonstrates a high degree of sensitivity and specificity using a panel of organisms commonly associated with chronic wound infection. Thirty-nine tissue samples from 29 chronic wounds were evaluated and the results compared with those obtained by culture. As revealed by culture and PCR, the most common organisms were methicillin-resistant Staphylococcus aureus (MRSA) followed by Streptococcus agalactiae (Group B streptococcus) and Pseudomonas aeruginosa. The sensitivities of the PCR assays were 100% and 90% when quantitative and qualitative culture results were used as the reference standard, respectively. The assays allowed the identification of bacterial DNA from ten additional organisms that were not revealed by quantitative or qualitative cultures. Under optimal conditions, the turnaround time for PCR results is as short as 4-6 h. Real-time PCR is a rapid and inexpensive approach that can be easily introduced into clinical practice for detection of organisms directly from tissue samples. Characterization of the anaerobic microflora by real-time PCR of chronic wounds is warranted.

[1]  V. Gant,et al.  Multiplex real-time PCR and blood culture for identification of bloodstream pathogens in patients with suspected sepsis. , 2009, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[2]  J. Ravel,et al.  Community Analysis of Chronic Wound Bacteria Using 16S rRNA Gene-Based Pyrosequencing: Impact of Diabetes and Antibiotics on Chronic Wound Microbiota , 2009, PloS one.

[3]  I. Kay,et al.  Rapid detection of mecA and nuc genes in staphylococci by real-time multiplex polymerase chain reaction. , 2005, Diagnostic microbiology and infectious disease.

[4]  Pecoraro Re The nonhealing diabetic ulcer--a major cause for limb loss. , 1991 .

[5]  Justin Hardick,et al.  Rapid PCR-Based Diagnosis of Septic Arthritis by Early Gram-Type Classification and Pathogen Identification , 2008, Journal of Clinical Microbiology.

[6]  D. Smith,et al.  Lower-extremity amputation in diabetes. The independent effects of peripheral vascular disease, sensory neuropathy, and foot ulcers. , 1999, Diabetes care.

[7]  A. Vanderkelen,et al.  Quantitation of Pseudomonas aeruginosa in wound biopsy samples: from bacterial culture to rapid `real-time' polymerase chain reaction , 2000, Critical care.

[8]  M. P. Molinari,et al.  New Diagnostic Tools for Neonatal Sepsis: The Role of a Real-Time Polymerase Chain Reaction for the Early Detection and Identification of Bacterial and Fungal Species in Blood Samples , 2007, Journal of chemotherapy.

[9]  S. Dowd,et al.  Survey of bacterial diversity in chronic wounds using Pyrosequencing, DGGE, and full ribosome shotgun sequencing , 2008, BMC Microbiology.

[10]  P. Savelkoul,et al.  New developments in the diagnosis of bloodstream infections. , 2004, The Lancet. Infectious diseases.

[11]  Georg Peters,et al.  Impact of a Molecular Approach to Improve the Microbiological Diagnosis of Infective Heart Valve Endocarditis , 2005, Circulation.

[12]  R. Thomson,,et al.  Species-Level Identification of Staphylococcal Isolates by Real-Time PCR and Melt Curve Analysis , 2005, Journal of Clinical Microbiology.

[13]  T. Quinn,et al.  Detection of bacteremia in emergency department patients at risk for infective endocarditis using universal 16S rRNA primers in a decontaminated polymerase chain reaction assay. , 2002, The Journal of infectious diseases.

[14]  R. Giroux,et al.  New Real-Time PCR Assay for Rapid Detection of Methicillin- Resistant Staphylococcus aureus Directly from Specimens Containing a Mixture of Staphylococci , 2004, Journal of Clinical Microbiology.

[15]  R Amann,et al.  Application of a suite of 16S rRNA-specific oligonucleotide probes designed to investigate bacteria of the phylum cytophaga-flavobacter-bacteroides in the natural environment. , 1996, Microbiology.

[16]  James W. Smith,et al.  Evaluation of a real-time fluorescent PCR assay for rapid detection of Group B Streptococci in neonatal blood. , 2004, Diagnostic microbiology and infectious disease.

[17]  U. Reischl,et al.  Algorithm for the identification of bacterial pathogens in positive blood cultures by real-time LightCycler polymerase chain reaction (PCR) with sequence-specific probes. , 2004, Diagnostic microbiology and infectious disease.

[18]  Thomas C. Quinn,et al.  Quantitative Multiprobe PCR Assay for Simultaneous Detection and Identification to Species Level of Bacterial Pathogens , 2002, Journal of Clinical Microbiology.

[19]  B. Kuehn Chronic wound care guidelines issued. , 2007, JAMA.

[20]  L. Price,et al.  Defining wound microbial flora: molecular microbiology opening new horizons. , 2009, Archives of dermatology.

[21]  K. Harding,et al.  Molecular analysis of the microflora in chronic venous leg ulceration. , 2003, Journal of medical microbiology.

[22]  A. Hoeft,et al.  Utility of a Commercially Available Multiplex Real-Time PCR Assay To Detect Bacterial and Fungal Pathogens in Febrile Neutropenia , 2009, Journal of Clinical Microbiology.

[23]  Katharine G. Field,et al.  A PCR Assay To Discriminate Human and Ruminant Feces on the Basis of Host Differences in Bacteroides-Prevotella Genes Encoding 16S rRNA , 2000, Applied and Environmental Microbiology.

[24]  K. Harding,et al.  Use of 16S Ribosomal DNA PCR and Denaturing Gradient Gel Electrophoresis for Analysis of the Microfloras of Healing and Nonhealing Chronic Venous Leg Ulcers , 2004, Journal of Clinical Microbiology.

[25]  P. Bowler,et al.  The microbiology of infected and noninfected leg ulcers , 1999, International journal of dermatology.

[26]  U. Reischl,et al.  Rapid Diagnosis of Bacterial Meningitis by Real-Time PCR and Fluorescence In Situ Hybridization , 2005, Journal of Clinical Microbiology.

[27]  Yan Sun,et al.  Polymicrobial Nature of Chronic Diabetic Foot Ulcer Biofilm Infections Determined Using Bacterial Tag Encoded FLX Amplicon Pyrosequencing (bTEFAP) , 2008, PloS one.