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Gene expression profiling of CD4+ T cells in treatment-naive HIV, HCV mono- or co-infected Chinese

  • Lina Yi
  • , Jin Zhao
  • , Jing Lu
  • , Ying Chen
  • , Lin Chen
  • , Jinquan Cheng
  • , Yan Sun
  • , Zhi Li
  • , Ruotin Men
  • , Li Yang
  • , Hsiangfu Kung
  • , Zhengrong Yang
  • , Ming-Liang He

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

41 Downloads (CityUHK Scholars)

Abstract

Background: Because of the shared transmission routes, co-infection with human immunodeficiency virus (HIV) and hepatitis C virus (HIV) is very common. Accumulated clinical evidence showed that one could alter the infectious course of the other virus in HIV and HCV co-infected individuals. However, little is known on the molecular basis of HIV/HCV interactions and their modulations on hosts. Methods. In this study, treatment-naive HIV, HCV mono-/co-infected individuals with CD4+ T cell counts >300/μl were recruited and their gene expression profiles were investigated by microarray assays. The differentially expressed genes were identified and validated by quantitative real-time PCR (qRT-PCR). To further understand the biological meanings of the gene expression profiles in these three groups, GSEA analysis (version 2.0, Broad Institute) was performed. Results: By gene set enrichment analysis, we revealed that gene sets of cell cycle progression, innate immune response and some transcription factors in CD4+ T cells were mainly affected by HIV; while genes associated with GPCR signaling were the major targets of HCV. Metabolic pathways were modulated by both HCV and HIV viruses. Conclusions: This study for the first time offers gene profiling basis for HCV/HIV mono-/co- infections in human beings. HIV infection displayed the great impact on transcription profile of CD4+ T cells in HIV/HCV co-infected individuals. Genes related to cell cycle arrest were significantly mediated by HIV which may lead to dysfunction of CD4+ T cells and acceleration of HCV-related disease progression in the co-infections. © 2014 Yi et al.; licensee BioMed Central Ltd.
Original languageEnglish
Article number27
JournalVirology Journal
Volume11
Issue number1
DOIs
Publication statusPublished - 13 Feb 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 5 - Gender Equality
    SDG 5 Gender Equality

Research Keywords

  • Co-infection
  • HCV
  • HIV
  • Microarray

Publisher's Copyright Statement

  • This full text is made available under CC-BY 2.0. https://creativecommons.org/licenses/by/2.0/

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