Long Noncoding RNA and Predictive Model To Improve Diagnosis of Clinically Diagnosed Pulmonary Tuberculosis
Xuejiao Hu, S. Matthew Liao, Hao Bai, Shubham Gupta, Yi Zhou, Juan Zhou, Lin Jiao, Lijuan Wu, Minjin Wang, Xuerong Chen, Yanhong Zhou, Xiaojun Lu, Ye Hu, Zhaolei Zhang, Binwu Ying
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).
Topics & Concepts
MedicineMycobacterium tuberculosisTuberculosisPulmonary tuberculosisDiseaseInternal medicinePredictive value of testsPathologyMycobacterium research and diagnosisCancer-related molecular mechanisms researchTuberculosis Research and Epidemiology