EBioMedicine · 2019 · 80 citations · 34 references
MedicineInfectious DiseasesMolecular BiologyEarly DetectionMolecular DiagnosticsVirologyHiv DiagnosisMicrorna BiologyRna-based DiagnosticsAcute Hiv Infection DetectionCirculating Microrna DetectionEarly Hiv DiagnosisMicrorna BiomarkersMicrorna Prognostic MarkersPredictive Biomarker DevelopmentPredictive Biomarker DiscoveryPredictive Biomarker Validation
Background Accurate laboratory diagnosis of HIV is essential to reduce the risk of HIV-positive individuals transmitting HIV-1 infection. The goal of this study was to identify and assess a panel of host derived plasma miRNAs that could to serve as a prognostic and predictive biomarker to detect early/acute HIV-1 infection. Methods A total of 372 microRNAs were analyzed in nine plasma samples from HIV-1 infected individuals in the early phase of infection and three healthy controls using the miRNA PCR-array. Seventeen microRNAs were selected and validated in 80 plasma samples from HIV-1 infected individuals in the early phase of infection (20 each of eclipse stage, RNA+ stage, Ag + stage, and Ag + Ab+ stage of HIV-1 patients) and 25 healthy controls. Using the validation study results a plasma miRNA panel was developed and evaluated to detect early/acute HIV-1 infection in 49 blinded samples. Finding We identified an miRNA panel (P eHIV-1 ) containing four differentially expressed miRNAs (miR-16-5p, miR-20b-5p, miR-195-5p, and miR-223-3p) that could distinguish early HIV-1 infection from healthy controls with high AUC (1·000[1·00–1·00]), sensitivity (100%), and specificity (100%).We also found that miR-223-3p demonstrates 100% sensitivity and specificity (AUC 1·00[1·00–1·00]) and could distinguish eclipse stage of HIV-1 infection from healthy controls. To detect eclipse stage of HIV-1 infection we also developed a four-miRNA based (miR-16-5p, miR-206, let-7 g-3p, and miR-181c-3p) panel (P E ) with AUC 0·999 (0·995–1·000), 100% sensitivity and 95·8% specificity. Interpretation The miRNA panel, P eHIV-1 is a potential biomarker for detecting early/acute stage of HIV-1infection and could help initiate early antiretroviral treatment, thus preventing the spread of HIV-1 infection.
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