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Bridging HIV-1 cellular latency and clinical long-term non-progressor: an interactomic view.

ABSTRACT: Development of an effective HIV management is enticed by the fact that long-term non-progressors (LTNP) restrict viral replication spontaneously, but is hindered by HIV-1 latency. Given that the most overlapping characteristics found between HIV-1 LTNP and latency, detailed analysis of the difference would disclose the essentials of latency. In this study, microarray data from our previous study was combined with HIV-1 latency and LTNP data obtained from NCBI GEO database. Principal variance component analysis and hierarchical clustering verified the removal of batch effect across platform. The analysis revealed a total of 456 differential expressed genes with >2-fold change and B-statistic >0. Bayesian inference was used to reconstitute the transcriptional network of HIV-1 latency or LTNP, respectively. Gene regulation was reprogrammed under different disease condition. By network interference, KPNA2 and ATP5G3 were identified as the hubs in latency network which mediate nuclear export and RNA processing. These data offer comparative insights into HIV-1 latency, which will facilitate the understanding of the genetic basis of HIV-1 latency in vivo and serve as a clue for future treatment dealing with key targets in HIV-1 latency.

SUBMITTER: Yang J

PROVIDER: S-EPMC3581534 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Bridging HIV-1 cellular latency and clinical long-term non-progressor: an interactomic view.

Yang Jin J Yang Zongxing Z Lv Hangjun H Lou Yi Y Wang Juan J Wu Nanping N

PloS one 20130225 2

Development of an effective HIV management is enticed by the fact that long-term non-progressors (LTNP) restrict viral replication spontaneously, but is hindered by HIV-1 latency. Given that the most overlapping characteristics found between HIV-1 LTNP and latency, detailed analysis of the difference would disclose the essentials of latency. In this study, microarray data from our previous study was combined with HIV-1 latency and LTNP data obtained from NCBI GEO database. Principal variance com ...[more]

PMID: 23451031

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Project description:Certain host genetic variants, especially in the human leucocyte antigen (HLA) region, are associated with different progression of HIV-1-induced diseases and AIDS. Long term non progressors (LTNP) represent only the 2% of infected patients but are especially relevant because of their efficient HIV control. In this work we present a global analysis of genetic data in the large national multicenter cohort of Spanish LTNP, which is compared with seronegative individuals and HIV-positive patients. We have analyzed whether several single-nucleotide polymorphisms (SNPs) including in key genes and certain HLA-A and B alleles could be associated with a specific HIV phenotype. A total of 846 individuals, 398 HIV-1-positive patients (213 typical progressors, 55 AIDS patients, and 130 LTNPs) and 448 HIV-negative controls, were genotyped for 15 polymorphisms and HLA-A and B alleles. Significant differences in the allele frequencies among the studied populations identified 16 LTNP-associated genetic factors, 5 of which were defined for the first time as related to LTNP phenotype: the protective effect of HLA-B39, and the detrimental impact of HLA-B18, -A24, -B08 and -A29. The remaining eleven polymorphisms confirmed previous publications, including the protective alleles HLA-B57, rs2395029 (HCP5), HLA bw4 homozygosity, HLA-B52, HLA-B27, CCR2 V64I, rs9264942 (HLA-C) and HLA-A03; and the risk allele HLA bw6 homozygosity. Notably, individual Spanish HIV-negative individuals had an average of 0.12 protective HLA alleles and SNPs, compared with an average of 1.43 protective alleles per LTNP patient, strongly suggesting positive selection of LTNP. Finally, stratification of LTNP according to viral load showed a proportional relationship between the frequency of protective alleles with control of viral load. Interestingly, no differences in the frequency of protection/risk polymorphisms were found between elite controllers and LTNPs maintaining viral loads <2.000 copies/mL throughout the follow-up.

Project description:We assessed correlates of protection from disease progression in a rare subset of HIV-infected individuals, viremic non-progressors (VNPs). These individuals have high viral load for several years, but in contrast to the majority of infected individuals, they do not progress to AIDS. Here we found this lack of progression was associated with selective preservation of two essential subsets of memory CD4+ T cells, central memory (TCM) and stem-cell memory (TSCM) cells. Compared to HIV-infected putative progressors, VNPs had higher proliferation of these indispensable subsets of memory cells, which was associated with the number of TCM. In addition, the long-lived CD4+ TCM and TSCM cells in VNPs had decreased HIV infection compared to the less critical effector memory CD4+ T cells, which indicates a possible mechanism by which VNPs maintain their CD4+ T cell pool after several years of infection, and remain free from AIDS progression. 6 HIV-infected patients fitting the clinical criteria of Viremic Non-Progressors were identified. VNPs were defined as having confirmed HIV-1 infection for at least 9 years with sustained plasma HIV RNA levels >10,000 copies/ml and maintenance of peripheral blood CD4+ T cell counts >500 cells/mm3 and a CD4% (of all lymphocytes) >15%. As controls, 7 HIV-infected Putative Progressors were identified. PPs were defined as having plasma HIV RNA levels >10,000 copies/mL, CD4+ T cell counts >400 cells/mm3 and having been initially infected with HIV 2-24 months prior to the index visit. The estimated date of initial HIV infection was calculated according to published algorithms that incorporate âde-tunedâ anti-HIV-1 antibody ELISA results or by a documented sero-conversion window of <6 months. All participants were required to be antiretroviral therapy (ART)-naÃ¯ve. RNA from 6 VNP and 7 PPs was purified from PAXgene whole blood tubes and hybridized to Affymetrix U133 Plus 2.0 arrays. During data analysis, one VNP patient (PID 4015) was determined to be an outlier and removed from further analysis. Thus, 5 VNPs and 7 PPs are represented in this Series.

Dataset Information

Bridging HIV-1 cellular latency and clinical long-term non-progressor: an interactomic view.

Publications

Bridging HIV-1 cellular latency and clinical long-term non-progressor: an interactomic view.

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