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Updated: Feb 20, 2026

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
Published on: October 5, 2015
Differential expression of long non-coding RNAs in patients with tuberculosis infection
Jianan He1, Qingye Ou2, Chunxiao Liu3
1Central Laboratory of Health Quarantine, Shenzhen International Travel Health Care Center, Shenzhen Entry-Exit Inspection and Quarantine Bureau, Shenzhen, 518033, PR China; Shenzhen Academy of Inspection and Quarantine, Shenzhen, 518010, PR China.
Abstract:
Tuberculosis (TB) remains a major worldwide health problem and has caused millions of deaths in the past few years. Current diagnostic methods, such as sputum smear microscopy and sputum culture, are time-consuming and cannot prevent the rapid spreading of TB during the diagnostic period. In this connection, detecting biomarkers specific to TB at molecular level in plasma of patients will provide a rapid means for diagnosis. In this study, we first evaluated the differential expression of the long non-coding RNAs (lncRNAs) in the plasma from patients with TB (TB positive), community acquired pneumonia (CAP) and healthy individuals (CG) using lncRNA microarray scanning. It was found that there were 2116 specific lncRNAs differentially expressed in the TB positive samples (1102 up-regulated and 1014 down-regulated), which accounted for 6.96% of total lncRNAs. Twelve differentially expressed lncRNAs discovered in microarray were subsequently validated by using real-time quantitative PCR (RT-qPCR). Two lncRNAs (ENST00000354432 and ENST00000427151) were further validated with more Tuberculosis samples. These results suggested the expression level of lncRNAs and the two validated lncRNAs in plasma could be the potential molecular biomarkers for the rapid diagnosis of Tuberculosis.
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