摘要
In the RNA-based study, it is important to extract high-quality RNA. However, RNA extraction from Mycobacterium tuberculosis is problematic due to its thick, waxy cell wall rich in mycolic acid, which renders the cells resistant to lysis. Using TRIzol reagent and several powerful bead-beating steps, a high quantity of RNA was obtained.
Subject(s)
Cell Wall , Mycobacterium tuberculosis , Mycobacterium , Mycolic Acids , RNA摘要
BACKGROUND: Blood culture remains the definitive method for diagnosing bacteremia and fungemia. In this study, we investigated the incidence of bacterial and fungal infections along with the trends in antimicrobial susceptibility in blood cultures collected from 2008 to 2013. METHODS: We performed a retrospective analysis of blood cultures performed at Kyung Hee University Hospital, Seoul, South Korea, between 2008 and 2013 to determine the bacterial and fungal species isolated, and their antimicrobial susceptibilities. Additional analyses were performed comparing these results to that of a prior study examining blood cultures collected from 2003-2007. RESULTS: Of the 102,257 specimens collected, 8,452 (8.3%) were culture positive, with Staphylococcus epidermidis being the most common species isolated (17.3%), followed by Escherichia coli (16.9%), Staphylococcus aureus (8.1%), and Klebsiella pneumoniae (6.5%). Fungal species accounted for 3.7% of all isolates. Methicillin resistance was seen in 54.3% of S. aureus isolates. The frequencies of extended-spectrum beta-lactamase (ESBL)-producing E. coli and K. pneumoniae were 13.1% and 10.3%; imipenem resistance was seen in 19.5% of Pseudomonas aeruginosa isolates. CONCLUSION: Although the number of blood specimens analyzed increased steadily over the course of this study, the rate of positive blood cultures declined. The most common microorganisms isolated were coagulase-negative staphylococci, E. coli, S. aureus, and K. pneumoniae, consistent with our prior analysis. This analysis of blood culture isolate frequencies and antibiotic susceptibilities can be used to inform antibiotic therapy decisions.