Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-08T07:22:15.460Z Has data issue: false hasContentIssue false

Combined use of real-time PCR and nested sequence-based typing in survey of human Legionella infection

Published online by Cambridge University Press:  21 January 2016

T. QIN
Affiliation:
State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
H. ZHOU
Affiliation:
State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
H. REN
Affiliation:
State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
W. SHI
Affiliation:
Shanghai CHROMagar Microbial Technology Center, Shanghai, P.R. China
H. JIN
Affiliation:
Shanghai Municipal Center for Disease Control and Prevention, Shanghai, P.R. China
X. JIANG
Affiliation:
Huashan Hospital, Fudan University, Shanghai, P.R. China
Y. XU
Affiliation:
Baoshan Branch, Huashan Hospital, Fudan University, Shanghai, P.R. China
M. ZHOU
Affiliation:
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
J. LI
Affiliation:
Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
J. WANG
Affiliation:
Changhai Hospital, Second Military Medical University, Shanghai, P.R. China
Z. SHAO
Affiliation:
State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
X. XU*
Affiliation:
Shanghai Municipal Center for Disease Control and Prevention, Shanghai, P.R. China
*
*Author for correspondence: Professor X. Xu, Shanghai Municipal Center for Disease Control and Prevention, No. 1380, Zhongshan West Road, Shanghai, 200336, People's Republic of China. (Email: xuxuebin@scdc.sh.cn)
Rights & Permissions [Opens in a new window]

Summary

Legionnaires’ disease (LD) is a globally distributed systemic infectious disease. The burden of LD in many regions is still unclear, especially in Asian countries including China. A survey of Legionella infection using real-time PCR and nested sequence-based typing (SBT) was performed in two hospitals in Shanghai, China. A total of 265 bronchoalveolar lavage fluid (BALF) specimens were collected from hospital A between January 2012 and December 2013, and 359 sputum specimens were collected from hospital B throughout 2012. A total of 71 specimens were positive for Legionella according to real-time PCR focusing on the 5S rRNA gene. Seventy of these specimens were identified as Legionella pneumophila as a result of real-time PCR amplification of the dotA gene. Results of nested SBT revealed high genetic polymorphism in these L. pneumophila and ST1 was the predominant sequence type. These data revealed that the burden of LD in China is much greater than that recognized previously, and real-time PCR may be a suitable monitoring technology for LD in large sample surveys in regions lacking the economic and technical resources to perform other methods, such as urinary antigen tests and culture methods.

Information

Type
Short Report
Copyright
Copyright © Cambridge University Press 2016 
Figure 0

Table 1. Details and positive rate of respiratory specimens tested in the study

Figure 1

Fig. 1. Number of positive cases and positive rates of cases of Legionella infection detected by real-time PCR in two hospitals, China.

Figure 2

Fig. 2. Minimum spanning-tree analyses of 44 specimens with a full 7-allele profile obtained based on sequence-based typing. Sequence types (STs) are shown as circles. The size of each circle indicates the number of isolates within this particular type. STs are shown in circles; blank circles represent new STs.

Supplementary material: File

Qin supplementary material S1

Online Technical Appendix Table

Download Qin supplementary material S1(File)
File 145.4 KB