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Using gene expression signatures to identify novel treatment strategies in gulf war illness

BACKGROUND: Gulf War Illness (GWI) is a complex multi-symptom disorder that affects up to one in three veterans of this 1991 conflict and for which no effective treatment has been found. Discovering novel treatment strategies for such a complex chronic illness is extremely expensive, carries a high...

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Autores principales: Craddock, Travis J.A., Harvey, Jeanna M., Nathanson, Lubov, Barnes, Zachary M., Klimas, Nancy G., Fletcher, Mary Ann, Broderick, Gordon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495687/
https://www.ncbi.nlm.nih.gov/pubmed/26156520
http://dx.doi.org/10.1186/s12920-015-0111-3
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author Craddock, Travis J.A.
Harvey, Jeanna M.
Nathanson, Lubov
Barnes, Zachary M.
Klimas, Nancy G.
Fletcher, Mary Ann
Broderick, Gordon
author_facet Craddock, Travis J.A.
Harvey, Jeanna M.
Nathanson, Lubov
Barnes, Zachary M.
Klimas, Nancy G.
Fletcher, Mary Ann
Broderick, Gordon
author_sort Craddock, Travis J.A.
collection PubMed
description BACKGROUND: Gulf War Illness (GWI) is a complex multi-symptom disorder that affects up to one in three veterans of this 1991 conflict and for which no effective treatment has been found. Discovering novel treatment strategies for such a complex chronic illness is extremely expensive, carries a high probability of failure and a lengthy cycle time. Repurposing Food and Drug Administration approved drugs offers a cost-effective solution with a significantly abbreviated timeline. METHODS: Here, we explore drug re-purposing opportunities in GWI by combining systems biology and bioinformatics techniques with pharmacogenomic information to find overlapping elements in gene expression linking GWI to successfully treated diseases. Gene modules were defined based on cellular function and their activation estimated from the differential expression of each module’s constituent genes. These gene modules were then cross-referenced with drug atlas and pharmacogenomic databases to identify agents currently used successfully for treatment in other diseases. To explore the clinical use of these drugs in illnesses similar to GWI we compared gene expression patterns in modules that were significantly expressed in GWI with expression patterns in those same modules in other illnesses. RESULTS: We found 19 functional modules with significantly altered gene expression patterns in GWI. Within these modules, 45 genes were documented drug targets. Illnesses with highly correlated gene expression patterns overlapping considerably with GWI were found in 18 of the disease conditions studied. Brain, muscular and autoimmune disorders composed the bulk of these. CONCLUSION: Of the associated drugs, immunosuppressants currently used in treating rheumatoid arthritis, and hormone based therapies were identified as the best available candidates for treating GWI symptoms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0111-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-44956872015-07-09 Using gene expression signatures to identify novel treatment strategies in gulf war illness Craddock, Travis J.A. Harvey, Jeanna M. Nathanson, Lubov Barnes, Zachary M. Klimas, Nancy G. Fletcher, Mary Ann Broderick, Gordon BMC Med Genomics Research Article BACKGROUND: Gulf War Illness (GWI) is a complex multi-symptom disorder that affects up to one in three veterans of this 1991 conflict and for which no effective treatment has been found. Discovering novel treatment strategies for such a complex chronic illness is extremely expensive, carries a high probability of failure and a lengthy cycle time. Repurposing Food and Drug Administration approved drugs offers a cost-effective solution with a significantly abbreviated timeline. METHODS: Here, we explore drug re-purposing opportunities in GWI by combining systems biology and bioinformatics techniques with pharmacogenomic information to find overlapping elements in gene expression linking GWI to successfully treated diseases. Gene modules were defined based on cellular function and their activation estimated from the differential expression of each module’s constituent genes. These gene modules were then cross-referenced with drug atlas and pharmacogenomic databases to identify agents currently used successfully for treatment in other diseases. To explore the clinical use of these drugs in illnesses similar to GWI we compared gene expression patterns in modules that were significantly expressed in GWI with expression patterns in those same modules in other illnesses. RESULTS: We found 19 functional modules with significantly altered gene expression patterns in GWI. Within these modules, 45 genes were documented drug targets. Illnesses with highly correlated gene expression patterns overlapping considerably with GWI were found in 18 of the disease conditions studied. Brain, muscular and autoimmune disorders composed the bulk of these. CONCLUSION: Of the associated drugs, immunosuppressants currently used in treating rheumatoid arthritis, and hormone based therapies were identified as the best available candidates for treating GWI symptoms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0111-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-09 /pmc/articles/PMC4495687/ /pubmed/26156520 http://dx.doi.org/10.1186/s12920-015-0111-3 Text en © Craddock et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Craddock, Travis J.A.
Harvey, Jeanna M.
Nathanson, Lubov
Barnes, Zachary M.
Klimas, Nancy G.
Fletcher, Mary Ann
Broderick, Gordon
Using gene expression signatures to identify novel treatment strategies in gulf war illness
title Using gene expression signatures to identify novel treatment strategies in gulf war illness
title_full Using gene expression signatures to identify novel treatment strategies in gulf war illness
title_fullStr Using gene expression signatures to identify novel treatment strategies in gulf war illness
title_full_unstemmed Using gene expression signatures to identify novel treatment strategies in gulf war illness
title_short Using gene expression signatures to identify novel treatment strategies in gulf war illness
title_sort using gene expression signatures to identify novel treatment strategies in gulf war illness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495687/
https://www.ncbi.nlm.nih.gov/pubmed/26156520
http://dx.doi.org/10.1186/s12920-015-0111-3
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