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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7010776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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