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Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses
BACKGROUND: Asthma is strongly associated with allergic sensitization, but the mechanisms that determine why only a subset of atopics develop asthma are not well understood. The aim of this study was to test the hypothesis that variations in allergen-driven CD4 T cell responses are associated with s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769846/ https://www.ncbi.nlm.nih.gov/pubmed/26922672 http://dx.doi.org/10.1186/s12920-016-0171-z |
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author | Troy, Niamh M. Hollams, Elysia M. Holt, Patrick G. Bosco, Anthony |
author_facet | Troy, Niamh M. Hollams, Elysia M. Holt, Patrick G. Bosco, Anthony |
author_sort | Troy, Niamh M. |
collection | PubMed |
description | BACKGROUND: Asthma is strongly associated with allergic sensitization, but the mechanisms that determine why only a subset of atopics develop asthma are not well understood. The aim of this study was to test the hypothesis that variations in allergen-driven CD4 T cell responses are associated with susceptibility to expression of asthma symptoms. METHODS: The study population consisted of house dust mite (HDM) sensitized atopics with current asthma (n = 22), HDM-sensitized atopics without current asthma (n = 26), and HDM-nonsensitized controls (n = 24). Peripheral blood mononuclear cells from these groups were cultured in the presence or absence of HDM extract for 24 h. CD4 T cells were then isolated by immunomagnetic separation, and gene expression patterns were profiled on microarrays. RESULTS: Differential network analysis of HDM-induced CD4 T cell responses in sensitized atopics with or without asthma unveiled a cohort of asthma-associated genes that escaped detection by more conventional data analysis techniques. These asthma-associated genes were enriched for targets of STAT6 signaling, and they were nested within a larger coexpression module comprising 406 genes. Upstream regulator analysis suggested that this module was driven primarily by IL-2, IL-4, and TNF signaling; reconstruction of the wiring diagram of the module revealed a series of hub genes involved in inflammation (IL-1B, NFkB, STAT1, STAT3), apoptosis (BCL2, MYC), and regulatory T cells (IL-2Ra, FoxP3). Finally, we identified several negative regulators of asthmatic CD4 T cell responses to allergens (e.g. IL-10, type I interferons, microRNAs, drugs, metabolites), and these represent logical candidates for therapeutic intervention. CONCLUSION: Differential network analysis of allergen-induced CD4 T cell responses can unmask covert disease-associated genes and pin point novel therapeutic targets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0171-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4769846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47698462016-02-29 Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses Troy, Niamh M. Hollams, Elysia M. Holt, Patrick G. Bosco, Anthony BMC Med Genomics Research Article BACKGROUND: Asthma is strongly associated with allergic sensitization, but the mechanisms that determine why only a subset of atopics develop asthma are not well understood. The aim of this study was to test the hypothesis that variations in allergen-driven CD4 T cell responses are associated with susceptibility to expression of asthma symptoms. METHODS: The study population consisted of house dust mite (HDM) sensitized atopics with current asthma (n = 22), HDM-sensitized atopics without current asthma (n = 26), and HDM-nonsensitized controls (n = 24). Peripheral blood mononuclear cells from these groups were cultured in the presence or absence of HDM extract for 24 h. CD4 T cells were then isolated by immunomagnetic separation, and gene expression patterns were profiled on microarrays. RESULTS: Differential network analysis of HDM-induced CD4 T cell responses in sensitized atopics with or without asthma unveiled a cohort of asthma-associated genes that escaped detection by more conventional data analysis techniques. These asthma-associated genes were enriched for targets of STAT6 signaling, and they were nested within a larger coexpression module comprising 406 genes. Upstream regulator analysis suggested that this module was driven primarily by IL-2, IL-4, and TNF signaling; reconstruction of the wiring diagram of the module revealed a series of hub genes involved in inflammation (IL-1B, NFkB, STAT1, STAT3), apoptosis (BCL2, MYC), and regulatory T cells (IL-2Ra, FoxP3). Finally, we identified several negative regulators of asthmatic CD4 T cell responses to allergens (e.g. IL-10, type I interferons, microRNAs, drugs, metabolites), and these represent logical candidates for therapeutic intervention. CONCLUSION: Differential network analysis of allergen-induced CD4 T cell responses can unmask covert disease-associated genes and pin point novel therapeutic targets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-016-0171-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-27 /pmc/articles/PMC4769846/ /pubmed/26922672 http://dx.doi.org/10.1186/s12920-016-0171-z Text en © Troy et al. 2016 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 Troy, Niamh M. Hollams, Elysia M. Holt, Patrick G. Bosco, Anthony Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses |
title | Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses |
title_full | Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses |
title_fullStr | Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses |
title_full_unstemmed | Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses |
title_short | Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses |
title_sort | differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific t-helper memory responses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769846/ https://www.ncbi.nlm.nih.gov/pubmed/26922672 http://dx.doi.org/10.1186/s12920-016-0171-z |
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