Comparative transcriptomics of extreme phenotypes of human HIV-1 infection and SIV infection in sooty mangabey and rhesus macaque.

Details

Serval ID
serval:BIB_E778CB95165B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Comparative transcriptomics of extreme phenotypes of human HIV-1 infection and SIV infection in sooty mangabey and rhesus macaque.
Journal
Journal of Clinical Investigation
Author(s)
Rotger M., Dalmau J., Rauch A., McLaren P., Bosinger S.E., Martinez R., Sandler N.G., Roque A., Liebner J., Battegay M., Bernasconi E., Descombes P., Erkizia I., Fellay J., Hirschel B., Miró J.M., Palou E., Hoffmann M., Massanella M., Blanco J., Woods M., Günthard H.F., de Bakker P., Douek D.C., Silvestri G., Martinez-Picado J., Telenti A.
ISSN
1558-8238 (Electronic)
ISSN-L
0021-9738
Publication state
Published
Issued date
2011
Volume
121
Number
6
Pages
2391-2400
Language
english
Abstract
High levels of HIV-1 replication during the chronic phase of infection usually correlate with rapid progression to severe immunodeficiency. However, a minority of highly viremic individuals remains asymptomatic and maintains high CD4+ T cell counts. This tolerant profile is poorly understood and reminiscent of the widely studied nonprogressive disease model of SIV infection in natural hosts. Here, we identify transcriptome differences between rapid progressors (RPs) and viremic nonprogressors (VNPs) and highlight several genes relevant for the understanding of HIV-1-induced immunosuppression. RPs were characterized by a specific transcriptome profile of CD4+ and CD8+ T cells similar to that observed in pathogenic SIV-infected rhesus macaques. In contrast, VNPs exhibited lower expression of interferon-stimulated genes and shared a common gene regulation profile with nonpathogenic SIV-infected sooty mangabeys. A short list of genes associated with VNP, including CASP1, CD38, LAG3, TNFSF13B, SOCS1, and EEF1D, showed significant correlation with time to disease progression when evaluated in an independent set of CD4+ T cell expression data. This work characterizes 2 minimally studied clinical patterns of progression to AIDS, whose analysis may inform our understanding of HIV pathogenesis.
Pubmed
Web of science
Open Access
Yes
Create date
20/06/2011 15:24
Last modification date
20/08/2019 16:10
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