Frontiers in Microbiology · 2016 · 50 citations · 31 references
Life SciencesMolecular BiologyMolecular MedicineGene ExpressionGene Expression AnalysisTranscriptomicsBiomarker DevelopmentGene Expression ProfilingRna Sequencing AnalysisTranscriptomic ProfilingTuberculosis DiagnosisTuberculosis Diagnostic TestingGene Expression BiomarkersMicroarray AnalysisMicroarray-based TranscriptomicsMycobacterium Tuberculosis InfectionReal-time Polymerase Chain Reaction (Pcr)Transcriptomic BiomarkersTuberculosis Biomarker DiscoveryTuberculosis Biomarkers
Lately, much effort has been made to find mRNA biomarkers for tuberculosis (TB) disease/infection with microarray-based approaches. In a pilot investigation, through RNA sequencing technology, we observed a prominent modulation of DOCK9, EPHA4, and NPC2 mRNA abundance in the blood of TB patients. To corroborate these findings, independent validations were performed in cohorts from different areas. Gene expression levels in blood were evaluated by quantitative real-time PCR (Brazil, n = 129) or reanalysis of public microarray data (United Kingdom [UK]: n = 96; South Africa: n = 51; Germany: n = 26 and UK/France: n = 63). In the Brazilian cohort, significant modulation of all target-genes was observed comparing TB versus healthy recent close TB contacts (rCt). With a 92% specificity, NPC2 mRNA high expression (NPC2high) showed the highest sensitivity (85%, 95% CI 65% – 96%; area under the ROC curve [AUROC] = 0.88), followed by EPHA4 (53%, 95% CI 33% – 73%, AUROC = 0.73) and DOCK9 (19%, 95% CI 7% – 40%; AUROC = 0.66). All the other reanalyzed cohorts corroborated the potential of NPC2high as a biomarker for TB (sensitivity: 82% – 100%; specificity: 94% – 97%). An NPC2high profile was also observed in 60% (29/48) of the tuberculin skin test positive rCt, and additional follow-up evaluation revealed changes in the expression levels of NPC2 during the different stages of M. tuberculosis infection, suggesting that further studies are needed to evaluate modulation of this gene during latent TB and/or progression to active disease. Considering its high specificity, our data indicate, for the first time, that NPC2high might serve as an accurate single-gene biomarker for TB.
31
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Xavier Robin, Natacha Turck, Alexandre Hainard et al. · BMC Bioinformatics · 2011 · 14K citations · Full text
NCBI GEO: archive for functional genomics data sets—update
Tanya Barrett, Stephen E. Wilhite, Pierre Ledoux et al. · Nucleic Acids Research · 2012 · 10.8K citations · Full text