| Literature DB >> 29789190 |
Jing-Wei Cheng1, Chang Liu1, Timothy Kudinha2, Meng Xiao3, Shu-Ying Yu1, Chun-Xia Yang4, Ming Wei4, Guo-Wei Liang5, Dong-Hua Shao5, Fanrong Kong6, Zhao-Hui Tong7, Ying-Chun Xu8.
Abstract
Clostridium difficile is the leading cause of health care-associated infections. Previous studies suggest that C. difficile MLST clade 4 strains with higher drug resistance rates constitute the major clone spreading in China. Thus development of a rapid and accurate typing method for these strains is needed to monitor the epidemiology of this clone and to guide clinical treatment. A total of 160 non-duplicate C. difficile isolates recovered from three large teaching hospitals in Beijing were studied. All the 41 clade 4 C. difficile isolates clustered together on the PCA dendrogram. Spectra peak statistics revealed that five markers (2691.43Da, 2704.91Da, 2711.93Da, 3247.27Da and 3290.76Da) can easily and reliably distinguish between clade 4 and non-clade 4 isolates, with area under the curve (AUC) values of 0.991, 0.997, 0.973, 1 and 1, respectively. In conclusion, MALDI-TOF MS is a very simple and accurate method for identifying C. difficile MLST clade 4 strains.Entities:
Keywords: Clade 4; Clostridium difficile; MALDI-TOF MS; MLST; Typing
Mesh:
Year: 2018 PMID: 29789190 DOI: 10.1016/j.diagmicrobio.2018.04.011
Source DB: PubMed Journal: Diagn Microbiol Infect Dis ISSN: 0732-8893 Impact factor: 2.803