Different HCV Exposure Drives Specific miRNA Profile in PBMCs of HIV Patients

• Autor(a) principal: Valle-Millares, Daniel
• Data de Publicação: 2021
• Outros Autores: Brochado-Kith, Óscar, Martín-Carbonero, Luz, Domínguez-Domínguez, Lourdes, Ryan, Pablo, De los Santos, Ignacio, De la Fuente, Sara, Castro, Juan M., Lagarde, María, Cuevas, Guillermo, Mayoral-Muñoz, Mario, Matarranz, Mariano, Díez, Victorino, Gómez-Sanz, Alicia, Martínez-Román, Paula, Crespo-Bermejo, Celia, Palladino, Claudia, Muñoz-Muñoz, María, Jiménez-Sousa, María A., Resino, Salvador, Briz, Verónica, Fernández-Rodríguez, Amanda, Multidisciplinary Group of Viral Coinfection HIV/Hepatitis
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10451/51617
• topic: HCV; HIV; microRNAs; spontaneous viral clearance; high throughput sequence

Micro RNAs (miRNAs) are essential players in HIV and HCV infections, as both viruses modulate cellular miRNAs and interact with the miRNA-mediated host response. We aim to analyze the miRNA profile of HIV patients with different exposure to HCV to explore specific signatures in the miRNA profile of PBMCs for each type of infection. We massively sequenced small RNAs of PBMCs from 117 HIV+ infected patients: 45 HIV+ patients chronically infected with HCV (HIV/HCV+), 36 HIV+ that spontaneously clarified HCV after acute infection (HIV/HCV-) and 36 HIV+ patients without previous HCV infection (HIV). Thirty-two healthy patients were used as healthy controls (HC). Differential expression analysis showed significantly differentially expressed (SDE) miRNAs in HIV/HCV+ (n = 153), HIV/HCV- (n = 169) and HIV (n = 153) patients. We found putative dysregulated pathways, such as infectious-related and PI3K signaling pathways, common in all contrasts. Specifically, putatively targeted genes involved in antifolate resistance (HIV/HV+), cancer-related pathways (HIV/HCV-) and HIF-signaling (HIV) were identified, among others. Our findings revealed that HCV strongly influences the expression profile of PBMCs from HIV patients through the disruption of its miRNome. Thus, different HCV exposure can be identified by specific miRNA signatures in PBMCs.