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 language | English |
|---|---|
| Article number | 27 |
| Journal | Virology Journal |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 13 Feb 2014 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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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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