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Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1
BACKGROUND: In the absence of antiretroviral treatments (ARTs), a small group of individuals infected with HIV, including long-term non-progressors (LTNPs) who maintain high levels of CD4+ T cells for more than 7–10 years in the absence of ART and in particular a subgroup of LTNPs, elite controllers...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325803/ https://www.ncbi.nlm.nih.gov/pubmed/30626383 http://dx.doi.org/10.1186/s12920-018-0443-x |
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author | Lee, Sun Young Park, Yong Kwang Yoon, Cheol-Hee Kim, Kisoon Kim, Kyung-Chang |
author_facet | Lee, Sun Young Park, Yong Kwang Yoon, Cheol-Hee Kim, Kisoon Kim, Kyung-Chang |
author_sort | Lee, Sun Young |
collection | PubMed |
description | BACKGROUND: In the absence of antiretroviral treatments (ARTs), a small group of individuals infected with HIV, including long-term non-progressors (LTNPs) who maintain high levels of CD4+ T cells for more than 7–10 years in the absence of ART and in particular a subgroup of LTNPs, elite controllers (ECs), who have low levels of viremia, remain clinically and/or immunologically stable for years. However, the mechanism of stable disease progression in LTNPs and ECs needs to be elucidated to help those infected with HIV-1 remain healthy. In this study, to identify the characteristics of gene expression profiles and biomarkers in LTNPs, we performed a meta-analysis using multiple gene expression profiles among LTNPs, individuals infected with HIV-1 without ART, individuals infected with HIV-1 with ART, and healthy controls. METHODS: The gene expression profiles obtained from the Gene Expression Omnibus (GEO) microarray data repositories were classified into three groups: LTNPs versus healthy controls (first group, 3 studies), LTNPs versus patients infected with HIV-1 without ART (second group, 3 studies), and LTNPs versus patients infected with HIV-1 with ART (third group, 3 studies). In addition, we considered a fourth group, patients infected with HIV-1 without ART versus healthy controls (3 studies), to exclude genes associated with HIV-1 infection in the three groups. For each group, we performed a meta-analysis using the RankProd method to identify and compare the differentially expressed genes (DEGs) in the three groups. RESULTS: We identified the 14 common DEGs in the three groups when comparing them with each other. Most belonged to immune responses, antigen processing and presentation, the interferon-gamma-mediated signaling pathway, and T cell co-stimulation. Of these DEGs, PHLDA1 was up-regulated and ACTB and ACTG1 were down-regulated in all three groups. However, the rest of the up- or down-regulated genes were discordant in the three groups. Additionally, ACTB and ACTG1 are known to inhibit viral assembly and production, and THBS1 is known to inhibit HIV-1 infection. CONCLUSIONS: These results suggest that significant genes identified in a meta-analysis provide clues to the cause of delayed disease progression and give a deeper understanding of HIV pathogenesis in LTNPs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0443-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6325803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63258032019-01-11 Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1 Lee, Sun Young Park, Yong Kwang Yoon, Cheol-Hee Kim, Kisoon Kim, Kyung-Chang BMC Med Genomics Research Article BACKGROUND: In the absence of antiretroviral treatments (ARTs), a small group of individuals infected with HIV, including long-term non-progressors (LTNPs) who maintain high levels of CD4+ T cells for more than 7–10 years in the absence of ART and in particular a subgroup of LTNPs, elite controllers (ECs), who have low levels of viremia, remain clinically and/or immunologically stable for years. However, the mechanism of stable disease progression in LTNPs and ECs needs to be elucidated to help those infected with HIV-1 remain healthy. In this study, to identify the characteristics of gene expression profiles and biomarkers in LTNPs, we performed a meta-analysis using multiple gene expression profiles among LTNPs, individuals infected with HIV-1 without ART, individuals infected with HIV-1 with ART, and healthy controls. METHODS: The gene expression profiles obtained from the Gene Expression Omnibus (GEO) microarray data repositories were classified into three groups: LTNPs versus healthy controls (first group, 3 studies), LTNPs versus patients infected with HIV-1 without ART (second group, 3 studies), and LTNPs versus patients infected with HIV-1 with ART (third group, 3 studies). In addition, we considered a fourth group, patients infected with HIV-1 without ART versus healthy controls (3 studies), to exclude genes associated with HIV-1 infection in the three groups. For each group, we performed a meta-analysis using the RankProd method to identify and compare the differentially expressed genes (DEGs) in the three groups. RESULTS: We identified the 14 common DEGs in the three groups when comparing them with each other. Most belonged to immune responses, antigen processing and presentation, the interferon-gamma-mediated signaling pathway, and T cell co-stimulation. Of these DEGs, PHLDA1 was up-regulated and ACTB and ACTG1 were down-regulated in all three groups. However, the rest of the up- or down-regulated genes were discordant in the three groups. Additionally, ACTB and ACTG1 are known to inhibit viral assembly and production, and THBS1 is known to inhibit HIV-1 infection. CONCLUSIONS: These results suggest that significant genes identified in a meta-analysis provide clues to the cause of delayed disease progression and give a deeper understanding of HIV pathogenesis in LTNPs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0443-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-09 /pmc/articles/PMC6325803/ /pubmed/30626383 http://dx.doi.org/10.1186/s12920-018-0443-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lee, Sun Young Park, Yong Kwang Yoon, Cheol-Hee Kim, Kisoon Kim, Kyung-Chang Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1 |
title | Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1 |
title_full | Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1 |
title_fullStr | Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1 |
title_full_unstemmed | Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1 |
title_short | Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1 |
title_sort | meta-analysis of gene expression profiles in long-term non-progressors infected with hiv-1 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325803/ https://www.ncbi.nlm.nih.gov/pubmed/30626383 http://dx.doi.org/10.1186/s12920-018-0443-x |
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