E-GEOD-57323 - TaqMan Peripheral blood mononuclear cell miRNA profiles of HIV-1 infected elite controllers, viremic patients, treated patients and uninfected control donors
Released on 6 May 2014, last updated on 11 June 2014
Background: The emerging relationship between microRNAs (miRNA) and viral-control is a topic of interest in the field of HIV. Host-genome might play an important role in the control of viremia. The aim of this study was to assess the specific miRNA profile that could contribute to the control of HIV replication in Elite Controllers. Results: After adequate normalization, expression profile of 286 human miRNAs (hsa-miR) was evaluated in 29 individuals classified in 4 groups: 8 elite controllers (EC; viral load <50 cp/ml without treatment), 8 viremic progressors (VP; VL>5000 cp/ml without treatment), 8 patients under antiretroviral treatment (ART; VL<200cp/ml) and 5 uninfected individuals (HIV-) through TaqMan® Array Human microRNA Cards v3.0. A differential expression pattern consisting of 23 miRNAs overcame significantly different when comparing EC and VP. Profiling analysis segregated the population in two different blocks: while EC and HIV- clustered together in the same block (EC/HIV-_block 1), VP and ART individuals clustered together in a second block (VP/ART_block 2). Two inversely expressed miRNA patterns were determined within those two blocks: a set of 4 miRNAs (hsa-miR-221, -27a, -27b and -29b) was up-expressed in EC/HIV-_block and down-expressed in VP/ART_block while 19 miRNAs were down-expressed in block 1 and up-expressed in block 2. Differential miRNAs were successfully validated through individual RT-qPCR assays. Conclusions: Profile in EC resembled HIV- and differentially clusters with VP and ART. Therefore, differential clustering does not rely on undetectable viremia. Peripheral blood mononuclear cell samples were from five uninfected controls, eight viremic HIV-1-infected patients, eight HIV-1 elite controllers with undetectable viral load and eight HIV-1antiretroviral treated individuals with undetectable viral load.
transcription profiling by RT-PCR
Mireia Arnedo <email@example.com>, A León, AC Guardo, F Garcia, JM Gatel, L Egaña-Gorroño, M Arnedo, M Plana, ME Bargalló, N Boulanger, T Escribà