Long Noncoding RNA and Predictive Model To Improve Diagnosis of Clinically Diagnosed Pulmonary Tuberculosis-Reference-Cited by-同舟云学术

Long Noncoding RNA and Predictive Model To Improve Diagnosis of Clinically Diagnosed Pulmonary Tuberculosis

Published:2020-06-24 Issue:7 Volume:58 Page:
ISSN:0095-1137
Container-title:Journal of Clinical Microbiology
language:en
Short-container-title:J Clin Microbiol

Author:

Hu Xuejiao¹²,Liao Shun³⁴,Bai Hao¹,Gupta Shubham⁴⁵,Zhou Yi¹,Zhou Juan¹,Jiao Lin¹,Wu Lijuan¹,Wang Minjin¹,Chen Xuerong⁶,Zhou Yanhong¹,Lu Xiaojun¹,Hu Tony Y.⁷,Zhang Zhaolei³⁴⁵,Ying Binwu¹^ORCID

Affiliation:

1. Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China

2. Division of Laboratory Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People’s Republic of China

3. Department of Computer Science, University of Toronto, Toronto, Ontario, Canada

4. Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada

5. The Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada

6. Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China

7. Center for Cellular and Molecular Diagnostics, Department of Biochemistry and Molecular Biology, School of Medicine, Tulane University, New Orleans, Louisiana, USA

Abstract

Clinically diagnosed pulmonary tuberculosis (PTB) patients lack microbiological evidence of Mycobacterium tuberculosis , and misdiagnosis or delayed diagnosis often occurs as a consequence. We investigated the potential of long noncoding RNAs (lncRNAs) and corresponding predictive models to diagnose these patients. We enrolled 1,764 subjects, including clinically diagnosed PTB patients, microbiologically confirmed PTB cases, non-TB disease controls, and healthy controls, in three cohorts (screening, selection, and validation).

Funder

Natural Science and Engineering Council of Canada

National Natural Science Foundation of China

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Link

https://journals.asm.org/doi/pdf/10.1128/JCM.01973-19

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