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Characterization of a novel panel of plasma microRNAs that discriminates between Mycobacterium tuberculosis infection and healthy individuals. | LitMetric

AI Article Synopsis

  • Researchers studied the role of plasma microRNAs (miRNAs) in diagnosing cavitary pulmonary tuberculosis (CP-TB) compared to non-cavitary patients and healthy controls using samples from 89 CP-TB patients, 89 NCP-TB patients, and 95 healthy individuals.
  • The study employed high-throughput sequencing and quantitative RT-PCR to identify 29 differentially expressed miRNAs, specifically validating miR-769-5p, miR-320a, and miR-22-3p as key indicators in distinguishing TB patients from healthy controls.
  • Results indicated that these miRNAs showed strong potential as blood-based biomarkers, with miR-320a also suggested as a marker for drug-resistant TB, highlighting

Article Abstract

Cavities are important in clinical diagnosis of pulmonary tuberculosis (TB) infected by Mycobacterium tuberculosis. Although microRNAs (miRNAs) play a vital role in the regulation of inflammation, the relation between plasma miRNA and pulmonary tuberculosis with cavity remains unknown. In this study, plasma samples were derived from 89 cavitary pulmonary tuberculosis (CP-TB) patients, 89 non-cavitary pulmonary tuberculosis (NCP-TB) patients and 95 healthy controls. Groups were matched for age and gender. In the screening phase, Illumina high-throughput sequencing technology was employed to analyze miRNA profiles in plasma samples pooled from CP-TB patients, NCP-TB patients and healthy controls. During the training and verification phases, quantitative RT-PCR (qRT-PCR) was conducted to verify the differential expression of selected miRNAs among groups. Illumina high-throughput sequencing identified 29 differentially expressed plasma miRNAs in TB patients when compared to healthy controls. Furthermore, qRT-PCR analysis validated miR-769-5p, miR-320a and miR-22-3p as miRNAs that were differently present between TB patients and healthy controls. ROC curve analysis revealed that the potential of these 3 miRNAs to distinguish TB patients from healthy controls was high, with the area under the ROC curve (AUC) ranged from 0.692 to 0.970. Moreover, miR-320a levels were decreased in drug-resistant TB patients than pan-susceptible TB patients (AUC = 0.882). In conclusion, we identified miR-769-5p, miR-320a and miR-22-3p as potential blood-based biomarkers for TB. In addition, miR-320a may represent a biomarker for drug-resistant TB.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598944PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0184113PLOS

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