Rapid cost-effective subtyping of meticillin-resistant Staphylococcus aureus by denaturing HPLC.

The importance of meticillin-resistant Staphylococcus aureus (MRSA) in hospital-acquired infection is widely acknowledged. The UK government has stated that MRSA bloodstream infection rates will have to be halved by 2008. Such radical improvements will require advances on several fronts. Screening for MRSA in high-risk patients on arrival at hospital allows isolation of carriers and reduces transmission to staff and other patients. Concurrent subtyping of MRSA could also inform outbreak investigations and long-term epidemiological studies. The variability within the staphylococcal protein A, or spaA, gene-repeat region can be used as a marker of short- and long-term genetic variation. A novel application is described of denaturing HPLC (DHPLC) for rapid, inexpensive characterization of spaA gene amplification products, without the need for DNA sequence determination. The method allowed rapid and precise sizing of spaA gene-repeat regions from 99 S. aureus strains and was combined with heteroduplex analysis, using reference PCR products, to indicate the spa type of the test isolate. The method allowed subtyping of strains in less than 5 h from receipt of a primary isolation plate. When applied to an outbreak that occurred during this study, the authors were able to demonstrate relatedness of the isolates more than 5 days before results were received from a reference laboratory. If combined with direct amplification from swabs, DHPLC analysis of spaA gene variation could prove extremely valuable in outbreak investigation and MRSA surveillance

Continued expansion of USA300-like methicillin-resistant Staphylococcus aureus (MRSA) among hospitalized patients in the United States

We characterized spa types, SCCmec types, and antimicrobial resistance patterns of 516 methicillin-resistant Staphylococcus aureus (MRSA) isolates, collected between 2011 and 2014 from nares and blood cultures of United States patients. Among nares isolates, 45 spa types were observed; 29.9% were t002/SCCmec II and 30.9% were t008/SCCmec IV. Among blood isolates, 40 spa types were identified; 24.4% were t002/SCCmec II and 39.9% were type t008/SCCmec IV. Compared to data from our 2009–2010 survey, the percentage of t008/SCCmec IV isolates from nares increased significantly (20.4%–30.9%; P = 0.004) while the percentage from positive blood cultures remained similar (39.2% versus 39.9%; P = 0.921). There were also significant changes in the overall antimicrobial resistance patterns observed, including the decrease of the clindamycin, erythromycin, levofloxacin and moxifloxacin multidrug resistance pattern, likely the result of t002/SCCmec II strains being displaced by t008/SCCmec IV strains. Rates of high-level mupirocin resistance did not change significantly from our past study (4.1% compared to 4.7%; P = 0.758) but an increase in low-level resistance, particularly among t002/SCCmec II isolates, was observed

Metabolic profiling for detection of staphylococcus aureus infection and antibiotic resistance

Due to slow diagnostics, physicians must optimize antibiotic therapies based on clinical evaluation of patients without specific information on causative bacteria. We have investigated metabolomic analysis of blood for the detection of acute bacterial infection and early differentiation between ineffective and effective antibiotic treatment. A vital and timely therapeutic difficulty was thereby addressed: the ability to rapidly detect treatment failures because of antibiotic-resistant bacteria. Methicillin-resistant (MRSA) and methicillin-sensitive (MSSA) were used and for infecting mice, while natural MSSA infection was studied in humans. Samples of bacterial growth media, the blood of infected mice and of humans were analyzed with combined Gas Chromatography/Mass Spectrometry. Multivariate data analysis was used to reveal the metabolic profiles of infection and the responses to different antibiotic treatments. experiments resulted in the detection of 256 putative metabolites and mice infection experiments resulted in the detection of 474 putative metabolites. Importantly, ineffective and effective antibiotic treatments were differentiated already two hours after treatment start in both experimental systems. That is, the ineffective treatment of MRSA using cloxacillin and untreated controls produced one metabolic profile while all effective treatment combinations using cloxacillin or vancomycin for MSSA or MRSA produced another profile. For further evaluation of the concept, blood samples of humans admitted to intensive care with severe sepsis were analyzed. One hundred thirty-three putative metabolites differentiated severe MSSA sepsis (n = 6) from severe sepsis (n = 10) and identified treatment responses over time. Combined analysis of human, , and mice samples identified 25 metabolites indicative of effective treatment of sepsis. Taken together, this study provides a proof of concept of the utility of analyzing metabolite patterns in blood for early differentiation between ineffective and effective antibiotic treatment in acute infections