Please use this identifier to cite or link to this item:http://hdl.handle.net/20.500.12105/11008
Title
Insight in miRNome of Long-Term Non-Progressors and Elite Controllers Exposes Potential RNAi Role in Restraining HIV-1 Infection
Author(s)
Ayala-Suarez, Ruben ISCIII | Gracia-Ruíz de Alda, María | Díez-Fuertes, Francisco ISCIII | Calonge, Esther ISCIII | de la Torre-Tarazona, Humberto Erick ISCIII | Capa, Laura ISCIII | Alcamí, José ISCIII
Date issued
2020-07-31
Citation
J Clin Med. 2020 Jul 31;9(8):2452.
Language
Inglés
Document type
journal article
Abstract
Long-term non-progressors (LTNP) and elite controllers (EC) represent spontaneous natural models of efficient HIV-1 response in the absence of treatment. The main purposes of this work are to describe the miRNome of HIV-1 infected patients with different extreme phenotypes and identify potentially altered pathways regulated by differentially expressed (DE) miRNAs. The miRNomes from peripheral blood mononuclear cells (PBMCs) of dual phenotype EC-LTNP or LTNP with detectable viremia and HIV-infected patients with typical progression before and after treatment, were obtained through miRNA-Seq and compared among them. The administration of treatment produces 18 DE miRNAs in typical progressors. LTNP condition shows 14 DE miRNA when compared to typical progressors, allowing LTNP phenotype differentiation. A set of four miRNAs: miR-144-3p, miR-18a-5p, miR-451a, and miR-324 is strongly downregulated in LTNP and related to protein regulation as AKT, mTOR, ERK or IKK, involved in immune response pathways. Deregulation of 28 miRNA is observed between EC-LTNP and viremic-LTNP, including previously described anti-HIV miRNAs: miR-29a, associated with LTNP phenotype, and miR-155, targeting different pre-integration complexes such as ADAM10 and TNPO3. A holistic perspective of the changes observed in the miRNome of patients with different phenotypes of HIV-control and non-progression is provided.
MESH
HIV-1 infection | biomarker discovery | differential expression | elite controllers | long-term non-progressors | miRNA-Seq | miRNome
Description
Factor de impacto: 4,242 Q1
Online version
DOI
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