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Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome

The molecular and clinical features of a complex disease can be influenced by other diseases affecting the same individual. Understanding disease-disease interactions is therefore crucial for revealing shared molecular mechanisms among diseases and designing effective treatments. Here we introduce F...

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Autores principales: Maiorino, Enrico, Baek, Seung Han, Guo, Feng, Zhou, Xiaobo, Kothari, Parul H., Silverman, Edwin K., Barabási, Albert-László, Weiss, Scott T., Raby, Benjamin A., Sharma, Amitabh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010776/
https://www.ncbi.nlm.nih.gov/pubmed/32041952
http://dx.doi.org/10.1038/s41467-020-14600-w
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author Maiorino, Enrico
Baek, Seung Han
Guo, Feng
Zhou, Xiaobo
Kothari, Parul H.
Silverman, Edwin K.
Barabási, Albert-László
Weiss, Scott T.
Raby, Benjamin A.
Sharma, Amitabh
author_facet Maiorino, Enrico
Baek, Seung Han
Guo, Feng
Zhou, Xiaobo
Kothari, Parul H.
Silverman, Edwin K.
Barabási, Albert-László
Weiss, Scott T.
Raby, Benjamin A.
Sharma, Amitabh
author_sort Maiorino, Enrico
collection PubMed
description The molecular and clinical features of a complex disease can be influenced by other diseases affecting the same individual. Understanding disease-disease interactions is therefore crucial for revealing shared molecular mechanisms among diseases and designing effective treatments. Here we introduce Flow Centrality (FC), a network-based approach to identify the genes mediating the interaction between two diseases in a protein-protein interaction network. We focus on asthma and COPD, two chronic respiratory diseases that have been long hypothesized to share common genetic determinants and mechanisms. We show that FC highlights potential mediator genes between the two diseases, and observe similar outcomes when applying FC to 66 additional pairs of related diseases. Further, we perform in vitro perturbation experiments on a widely replicated asthma gene, GSDMB, showing that FC identifies candidate mediators of the interactions between GSDMB and COPD-associated genes. Our results indicate that FC predicts promising gene candidates for further study of disease-disease interactions.
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spelling pubmed-70107762020-02-12 Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome Maiorino, Enrico Baek, Seung Han Guo, Feng Zhou, Xiaobo Kothari, Parul H. Silverman, Edwin K. Barabási, Albert-László Weiss, Scott T. Raby, Benjamin A. Sharma, Amitabh Nat Commun Article The molecular and clinical features of a complex disease can be influenced by other diseases affecting the same individual. Understanding disease-disease interactions is therefore crucial for revealing shared molecular mechanisms among diseases and designing effective treatments. Here we introduce Flow Centrality (FC), a network-based approach to identify the genes mediating the interaction between two diseases in a protein-protein interaction network. We focus on asthma and COPD, two chronic respiratory diseases that have been long hypothesized to share common genetic determinants and mechanisms. We show that FC highlights potential mediator genes between the two diseases, and observe similar outcomes when applying FC to 66 additional pairs of related diseases. Further, we perform in vitro perturbation experiments on a widely replicated asthma gene, GSDMB, showing that FC identifies candidate mediators of the interactions between GSDMB and COPD-associated genes. Our results indicate that FC predicts promising gene candidates for further study of disease-disease interactions. Nature Publishing Group UK 2020-02-10 /pmc/articles/PMC7010776/ /pubmed/32041952 http://dx.doi.org/10.1038/s41467-020-14600-w Text en © The Author(s) 2020, corrected publication 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Maiorino, Enrico
Baek, Seung Han
Guo, Feng
Zhou, Xiaobo
Kothari, Parul H.
Silverman, Edwin K.
Barabási, Albert-László
Weiss, Scott T.
Raby, Benjamin A.
Sharma, Amitabh
Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
title Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
title_full Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
title_fullStr Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
title_full_unstemmed Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
title_short Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
title_sort discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010776/
https://www.ncbi.nlm.nih.gov/pubmed/32041952
http://dx.doi.org/10.1038/s41467-020-14600-w
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