Use of matrix-assisted laser desorption ionization–time of flight mass spectrometry to identify MLST clade 4 Clostridium difficile isolates

Jing Wei Cheng; Chang Liu; Timothy Kudinha; Meng Xiao; Shu Ying Yu; Chun Xia Yang; Ming Wei; Guo Wei Liang; Dong Hua Shao; Fanrong Kong; Zhao Hui Tong; Ying Chun Xu

doi:10.1016/j.diagmicrobio.2018.04.011

Use of matrix-assisted laser desorption ionization–time of flight mass spectrometry to identify MLST clade 4 Clostridium difficile isolates

Jing Wei Cheng, Chang Liu, Timothy Kudinha, Meng Xiao, Shu Ying Yu, Chun Xia Yang, Ming Wei, Guo Wei Liang, Dong Hua Shao, Fanrong Kong, Zhao Hui Tong, Ying Chun Xu

Nursing, Paramedicine and Healthcare Sciences

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

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.

Original language	English
Pages (from-to)	19-24
Number of pages	6
Journal	Diagnostic Microbiology and Infectious Disease
Volume	92
Issue number	1
DOIs	https://doi.org/10.1016/j.diagmicrobio.2018.04.011
Publication status	Published - Apr 2018

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Cheng, J. W., Liu, C., Kudinha, T., Xiao, M., Yu, S. Y., Yang, C. X., Wei, M., Liang, G. W., Shao, D. H., Kong, F., Tong, Z. H., & Xu, Y. C. (2018). Use of matrix-assisted laser desorption ionization–time of flight mass spectrometry to identify MLST clade 4 Clostridium difficile isolates. Diagnostic Microbiology and Infectious Disease, 92(1), 19-24. https://doi.org/10.1016/j.diagmicrobio.2018.04.011

@article{bacd40a0d51a4288b3c2e692384a23ff,

title = "Use of matrix-assisted laser desorption ionization–time of flight mass spectrometry to identify MLST clade 4 Clostridium difficile isolates",

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.",

keywords = "Clade 4, Clostridium difficile, MALDI-TOF MS, MLST, Typing",

author = "Cheng, {Jing Wei} and Chang Liu and Timothy Kudinha and Meng Xiao and Yu, {Shu Ying} and Yang, {Chun Xia} and Ming Wei and Liang, {Guo Wei} and Shao, {Dong Hua} and Fanrong Kong and Tong, {Zhao Hui} and Xu, {Ying Chun}",

note = "Includes bibliographical references.",

year = "2018",

month = apr,

doi = "10.1016/j.diagmicrobio.2018.04.011",

language = "English",

volume = "92",

pages = "19--24",

journal = "Diagnostic Microbiology and Infectious Disease",

issn = "0732-8893",

publisher = "Elsevier",

number = "1",

}

Cheng, JW, Liu, C, Kudinha, T, Xiao, M, Yu, SY, Yang, CX, Wei, M, Liang, GW, Shao, DH, Kong, F, Tong, ZH & Xu, YC 2018, 'Use of matrix-assisted laser desorption ionization–time of flight mass spectrometry to identify MLST clade 4 Clostridium difficile isolates', Diagnostic Microbiology and Infectious Disease, vol. 92, no. 1, pp. 19-24. https://doi.org/10.1016/j.diagmicrobio.2018.04.011

TY - JOUR

T1 - Use of matrix-assisted laser desorption ionization–time of flight mass spectrometry to identify MLST clade 4 Clostridium difficile isolates

AU - Cheng, Jing Wei

AU - Liu, Chang

AU - Kudinha, Timothy

AU - Xiao, Meng

AU - Yu, Shu Ying

AU - Yang, Chun Xia

AU - Wei, Ming

AU - Liang, Guo Wei

AU - Shao, Dong Hua

AU - Kong, Fanrong

AU - Tong, Zhao Hui

AU - Xu, Ying Chun

N1 - Includes bibliographical references.

PY - 2018/4

Y1 - 2018/4

N2 - 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.

AB - 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.

KW - Clade 4

KW - Clostridium difficile

KW - MALDI-TOF MS

KW - MLST

KW - Typing

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AN - SCOPUS:85047214137

SN - 0732-8893

VL - 92

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EP - 24

JO - Diagnostic Microbiology and Infectious Disease

JF - Diagnostic Microbiology and Infectious Disease

IS - 1

ER -

Use of matrix-assisted laser desorption ionization–time of flight mass spectrometry to identify MLST clade 4 Clostridium difficile isolates

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