Use of matrix assisted laser desorption ionisation–time of flight mass spectrometry in a paediatric clinical laboratory for identification of bacteria commonly isolated from cystic fibrosis patients

质谱法 铜绿假单胞菌 基质辅助激光解吸/电离 微生物学 囊性纤维化 细菌 伯克氏菌属 假单胞菌 生物 色谱法 化学 解吸 遗传学 吸附 有机化学
作者
Ankita Patel Desai,Theresa Stanley,Maria Atuan,Jonelle McKey,John J. LiPuma,Beverly Barton Rogers,Robert C. Jerris
出处
期刊:Journal of Clinical Pathology [BMJ]
卷期号:65 (9): 835-838 被引量:43
标识
DOI:10.1136/jclinpath-2012-200772
摘要

Matrix-assisted laser desorption ionisation-time of flight mass spectrometry (MALDI-TOF MS) has been described as a rapid, accurate method for bacterial identification.To investigate the ability of the technique, using the unamended database supplied with the system, to identify bacteria commonly isolated in cystic fibrosis (CF) patients.Organisms commonly isolated from CF patients identified by MALDI-TOF MS were compared to conventional phenotypic and genotypic analyses. For MALDI-TOF MS, the direct colony technique was used routinely with one extraction procedure performed on a mucoid Pseudomonas aeruginosa. For 24 unique CF specimens, workload comparison and time to identification were assessed.Of 464 tested isolates, conventional (phenotypic and genotypic) identification compared to MALDI-TOF MS showed complete genus, species agreement in 92%, with genus agreement in 98%. This included 29 isolates within the Burkholderia cepacia complex. All 29 were correctly identified to the genus level and 24 of these were speciated. Time to identification with 47 bacterial isolates from 24 CF patients showed identification of 85% of isolates by MALDI-TOF MS at 48 h of incubation, compared to only 34% with conventional methods.Using the unamended database supplied with the system, MALDI-TOF MS provides rapid and reliable identification of bacteria isolated from CF specimens. Time to identification studies showed that the use of same day, same method for organism identification will decrease time to result and optimise microbiology workflow.
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