| Literature DB >> 30567747 |
Lisa M Leung1,2,3, Christi L McElheny4, Francesca M Gardner1, Courtney E Chandler1, Sarah L Bowler4, Roberta T Mettus4, Caressa N Spychala4, Erin L Fowler4, Belita N A Opene1, Robert A Myers2,3, David R Goodlett5, Yohei Doi6,7,8, Robert K Ernst9.
Abstract
Acinetobacter baumannii is a prevalent nosocomial pathogen with a high incidence of multidrug resistance. Treatment of infections due to this organism with colistin, a last-resort antibiotic of the polymyxin class, can result in the emergence of colistin-resistant strains. Colistin resistance primarily occurs via modifications of the terminal phosphate moieties of lipopolysaccharide-derived lipid A, which reduces overall membrane electronegativity. These modifications are readily identified by mass spectrometry (MS). In this study, we prospectively collected Acinetobacter baumannii complex clinical isolates from a hospital system in Pennsylvania over a 3-year period. All isolates were evaluated for colistin resistance using standard MIC testing by both agar dilution and broth microdilution, as well as genospecies identification and lipid A profiling using MS analyses. Overall, an excellent correlation between colistin susceptibility and resistance, determined by MIC testing, and the presence of a lipid A modification, determined by MS, was observed with a sensitivity of 92.9% and a specificity of 94.0%. Additionally, glycolipid profiling was able to differentiate A. baumannii complex organisms based on their membrane lipids. With the growth of MS use in clinical laboratories, a reliable MS-based glycolipid phenotyping method that identifies colistin resistance in A. baumannii complex clinical isolates, as well as other Gram-negative organisms, represents an alternative or complementary approach to existing diagnostics.Entities:
Keywords: Acinetobacterzzm321990; colistin; lipid A; mass spectrometry
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Year: 2019 PMID: 30567747 PMCID: PMC6425172 DOI: 10.1128/JCM.01100-18
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948