Use of Whole-Genome Sequencing to Predict <i>Mycobacterium tuberculosis</i> Complex Drug Resistance from Early Positive Liquid Cultures-Reference-Cited by-同舟云学术

Use of Whole-Genome Sequencing to Predict Mycobacterium tuberculosis Complex Drug Resistance from Early Positive Liquid Cultures

Published:2022-04-27 Issue:2 Volume:10 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Wu Xiaocui¹,Tan Guangkun²,Sha Wei³,Liu Haican⁴,Yang Jinghui¹,Guo Yinjuan¹,Shen Xin⁵,Wu Zheyuan⁵,Shen Hongbo³,Yu Fangyou¹^ORCID

Affiliation:

1. Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China

2. Department of Clinical Laboratory, Shanghai University of Traditional Chinese Medical Attached Shuguang Hospital, Shanghai, People’s Republic of China

3. Department of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China

4. State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China

5. Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China

Abstract

In this study, we used whole-genome sequencing (WGS) from early positive liquid (MGIT) cultures instead of solid cultures to predict drug resistance of 182 Mycobacterium tuberculosis complex (MTBC) clinical isolates to predict drug resistance using the TB-Profiler informatics platform. Our study indicates that WGS may be a promising method for predicting MTBC resistance using early positive liquid cultures.

Funder

Shanghai Clinical Research Center for infectious disease

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.02516-21

Reference54 articles.

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