Cargando…

Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome

Recent political unrest has highlighted the importance of understanding the short- and long-term effects of gamma-radiation exposure on human health and survivability. In this regard, effective treatment for acute radiation syndrome (ARS) is a necessity in cases of nuclear disasters. Here, we propos...

Descripción completa

Detalles Bibliográficos
Autores principales: Moore, Robert, Puniya, Bhanwar Lal, Powers, Robert, Guda, Chittibabu, Bayles, Kenneth W., Berkowitz, David B., Helikar, Tomáš
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946886/
https://www.ncbi.nlm.nih.gov/pubmed/33692493
http://dx.doi.org/10.1038/s41598-021-85044-5
_version_ 1783663125253324800
author Moore, Robert
Puniya, Bhanwar Lal
Powers, Robert
Guda, Chittibabu
Bayles, Kenneth W.
Berkowitz, David B.
Helikar, Tomáš
author_facet Moore, Robert
Puniya, Bhanwar Lal
Powers, Robert
Guda, Chittibabu
Bayles, Kenneth W.
Berkowitz, David B.
Helikar, Tomáš
author_sort Moore, Robert
collection PubMed
description Recent political unrest has highlighted the importance of understanding the short- and long-term effects of gamma-radiation exposure on human health and survivability. In this regard, effective treatment for acute radiation syndrome (ARS) is a necessity in cases of nuclear disasters. Here, we propose 20 therapeutic targets for ARS identified using a systematic approach that integrates gene coexpression networks obtained under radiation treatment in humans and mice, drug databases, disease-gene association, radiation-induced differential gene expression, and literature mining. By selecting gene targets with existing drugs, we identified potential candidates for drug repurposing. Eight of these genes (BRD4, NFKBIA, CDKN1A, TFPI, MMP9, CBR1, ZAP70, IDH3B) were confirmed through literature to have shown radioprotective effect upon perturbation. This study provided a new perspective for the treatment of ARS using systems-level gene associations integrated with multiple biological information. The identified genes might provide high confidence drug target candidates for potential drug repurposing for ARS.
format Online
Article
Text
id pubmed-7946886
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-79468862021-03-12 Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome Moore, Robert Puniya, Bhanwar Lal Powers, Robert Guda, Chittibabu Bayles, Kenneth W. Berkowitz, David B. Helikar, Tomáš Sci Rep Article Recent political unrest has highlighted the importance of understanding the short- and long-term effects of gamma-radiation exposure on human health and survivability. In this regard, effective treatment for acute radiation syndrome (ARS) is a necessity in cases of nuclear disasters. Here, we propose 20 therapeutic targets for ARS identified using a systematic approach that integrates gene coexpression networks obtained under radiation treatment in humans and mice, drug databases, disease-gene association, radiation-induced differential gene expression, and literature mining. By selecting gene targets with existing drugs, we identified potential candidates for drug repurposing. Eight of these genes (BRD4, NFKBIA, CDKN1A, TFPI, MMP9, CBR1, ZAP70, IDH3B) were confirmed through literature to have shown radioprotective effect upon perturbation. This study provided a new perspective for the treatment of ARS using systems-level gene associations integrated with multiple biological information. The identified genes might provide high confidence drug target candidates for potential drug repurposing for ARS. Nature Publishing Group UK 2021-03-10 /pmc/articles/PMC7946886/ /pubmed/33692493 http://dx.doi.org/10.1038/s41598-021-85044-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Moore, Robert
Puniya, Bhanwar Lal
Powers, Robert
Guda, Chittibabu
Bayles, Kenneth W.
Berkowitz, David B.
Helikar, Tomáš
Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_full Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_fullStr Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_full_unstemmed Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_short Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_sort integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946886/
https://www.ncbi.nlm.nih.gov/pubmed/33692493
http://dx.doi.org/10.1038/s41598-021-85044-5
work_keys_str_mv AT moorerobert integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome
AT puniyabhanwarlal integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome
AT powersrobert integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome
AT gudachittibabu integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome
AT bayleskennethw integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome
AT berkowitzdavidb integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome
AT helikartomas integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome