Resistance to penicillin may be increasing among S. pneumoniae strains causing meningitis in Egypt, and a moderate proportion of these strains are not covered by current pneumococcal conjugate vaccines. In addition to intensifying education efforts about judicious use of antibiotics, laboratory-based surveillance for other forms of invasive pneumococcal disease, especially pneumonia, is needed before decisions can be made regarding the most effective vaccines for control of this disease in Egypt.
A broad spectrum detection platform that provides sequence level resolution of target regions would have a significant impact in public health, case management, and means of expanding our understanding of the etiology of diseases. A previously developed respiratory pathogen microarray (RPM v.1) demonstrated the capability of this platform for this purpose. This newly developed RPM v.1 was used to analyze 424 well-characterized nasal wash specimens from patients presenting with febrile respiratory illness in the Washington, D. C. metropolitan region. For each specimen, the RPM v.1 results were compared against composite reference assay (viral and bacterial culture and, where appropriate, RT-PCR/PCR) results. Across this panel, the RPM assay showed ≥98% overall agreement for all the organisms detected compared with reference methods. Additionally, the RPM v.1 results provide sequence information which allowed phylogenetic classification of circulating influenza A viruses in ∼250 clinical specimens, and allowed monitoring the genetic variation as well as antigenic variability prediction. Multiple pathogens (2–4) were detected in 58 specimens (13.7%) with notably increased abundances of respiratory colonizers (esp. S. pneumoniae) during viral infection. This first-ever comparison of a broad-spectrum viral and bacterial identification technology of this type against a large battery of conventional “gold standard” assays confirms the utility of the approach for both medical surveillance and investigations of complex etiologies of illness caused by respiratory co-infections.
Group A streptococci (GAS) are responsible for a wide variety of human infections associated with considerable morbidity and mortality. Ever since the first systematic effort by Lancefield to group Streptococcus species by M protein variants, the detection and characterization of Streptococcus by different methods have been an evolving process. The ideal assay for GAS identification not only would provide quick and accurate diagnostic results but also would reveal antibiotic resistance patterns and genotype information, aiding not only in treatment but in epidemiologic assessment as well. The oligonucleotide microarray is a promising new technology which could potentially address this need. In this study, we evaluated the usefulness of oligonucleotide resequencing microarrays for identifying GAS and its associated antibiotic resistance markers. We demonstrated an assay platform that combines the use of resequencing DNA microarrays with either random nucleic acid amplification or multiplex PCR for GAS detection. When detecting Streptococcus pyogenes from coded clinical samples, this approach demonstrated an excellent concordance with a more established culture method. To this end, we showed the potential of resequencing microarrays for efficient and accurate detection of GAS and its associated antibiotic resistance markers with the benefit of sequencing information from microarray analysis.
Methicillin-resistant Staphylococcus aureus is now a common isolate of community-acquired staphylococcal infections. We present the first case of concomitant mycotic pseudoaneurysm and purulent pericarditis caused by methicillin-resistant S. aureus. The isolate was found to be SCCmec type I, sequence type 8, and to carry the PVL gene. The patient was successfully treated with a combined surgical and medical approach.
Antibiotic resistance and
emm
gene types were examined from 692 Group A streptococci isolates from eight United States military basic training sites between 1998 and 2001. Macrolide resistance was associated with geographic sites and
emm
type. These data are useful for vaccine development initiatives and antimicrobial treatment considerations.
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