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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...

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Autores principales: Troy, Niamh M., Hollams, Elysia M., Holt, Patrick G., Bosco, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
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.
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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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