ABSTRACT
Patients suffering from bacterial bloodstream infections have an increased risk of developing systematic inflammatory response syndrome (SIRS), which can result in rapid deterioration of the patients' health. Diagnostic methods for bacterial identification and antimicrobial susceptibility tests are time-consuming. The aim of this study was to investigate whether Raman spectroscopy would be able to rapidly provide an antimicrobial susceptibility profile from bacteria isolated directly from positive blood cultures. First, bacterial strains (n = 133) were inoculated in tryptic soy broth and incubated in the presence or absence of antibiotics for 5 h. Antimicrobial susceptibility profiles were analyzed by Raman spectroscopy. Subsequently, a selection of strains was isolated from blood cultures and analyzed similarly. VITEK®2 technology and broth dilution were used as the reference methods. Raman spectra from 67 antibiotic-susceptible strains showed discriminatory spectra in the absence or at low concentrations of antibiotics as compared to high antibiotic concentrations. For 66 antibiotic-resistant strains, no antimicrobial effect was observed on the bacterial Raman spectra. Full concordance with VITEK®2 data and broth dilution was obtained for the antibiotic-susceptible strains, 68 % and 98 %, respectively, for the resistant strains. Discriminative antimicrobial susceptibility testing (AST) profiles were obtained for all bacterial strains isolated from blood cultures, resulting in full concordance with the VITEK®2 data. It can be concluded that Raman spectroscopy is able to detect the antimicrobial susceptibility of bacterial species isolated from a positive blood culture bottle within 5 h. Although Raman spectroscopy is cheap and rapid, further optimization is required, to fulfill a great promise for future AST profiling technology development.
Subject(s)
Anti-Bacterial Agents/pharmacology , Bacteria/chemistry , Bacteria/drug effects , Blood Culture/methods , Microbial Sensitivity Tests/methods , Spectrum Analysis, Raman/methods , Bacteremia/microbiology , Humans , Time FactorsABSTRACT
OBJECTIVES: Burkholderia cepacia complex (Bcc) and Pseudomonas aeruginosa strains, colonize the respiratory tract of cyctic fibrosis patients. These strains are phenotypically difficult to discriminate, but differ greatly in their pathogenic potential and species identification is relevant. Here, three methods were compared for their diagnostic capacity. METHODS: A Bcc collection was analyzed with Raman spectroscopy, AFLP and rep-PCR analysis. RESULTS: Raman spectroscopy of 40 strains revealed high similarity. Rep-PCR and AFLP of respectively 96 and 112 strains revealed that Bcc strains could be distinguished from Pseudomonas strains. Both molecular methods allowed the identification of most Bcc species according to previous phenotypic and molecular characterization. CONCLUSION: Both AFLP and rep-PCR method data correspond with the previously reported species identification. However, Raman spectroscopy does not discriminate among P. aeruginosa and Bcc species and is therefore not useful as a diagnostic tool.
Subject(s)
Burkholderia Infections/diagnosis , Burkholderia Infections/microbiology , Burkholderia cepacia complex/classification , Burkholderia cepacia complex/genetics , Molecular Typing , Spectrum Analysis, Raman , Amplified Fragment Length Polymorphism Analysis , DNA, Bacterial , Humans , Molecular Typing/methods , Polymerase Chain Reaction/methods , Spectrum Analysis, Raman/methodsABSTRACT
In the current laboratory assignment, technical aspects of the polymerase chain reaction (PCR) are integrated in the context of six different bacterial outbreak scenarios. The "Enterobacterial Repetitive Intergenic Consensus Sequence" (ERIC) PCR was used to analyze different outbreak scenarios. First, groups of 2-4 students determined optimal ERIC-PCR conditions to validate the protocol and subsequently applied ERIC-PCR to identify genetic relatedness among bacterial strains. Based on these genetic fingerprints, students selected the outbreak cases from the patient samples and assessed the risk factors for the outbreak scenario. Finally, students presented their findings during a classroom presentation. The results indicated that the assignment successfully facilitated student learning on the technical aspects of (ERIC) PCR and clearly demonstrated the practical application of PCR in a clinical diagnostic setting. Additionally, the assignment was highly appreciated by the students.
