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Prevalence and patterns of higher-order drug interactions in Escherichia coli
Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components. To gain deeper insights into higher-order interactions and complex envi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119685/ https://www.ncbi.nlm.nih.gov/pubmed/30181902 http://dx.doi.org/10.1038/s41540-018-0069-9 |
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author | Tekin, Elif White, Cynthia Kang, Tina Manzhu Singh, Nina Cruz-Loya, Mauricio Damoiseaux, Robert Savage, Van M. Yeh, Pamela J. |
author_facet | Tekin, Elif White, Cynthia Kang, Tina Manzhu Singh, Nina Cruz-Loya, Mauricio Damoiseaux, Robert Savage, Van M. Yeh, Pamela J. |
author_sort | Tekin, Elif |
collection | PubMed |
description | Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components. To gain deeper insights into higher-order interactions and complex environments, we study antibiotic combinations applied to pathogenic Escherichia coli and obtain unprecedented amounts of detailed data (251 two-drug combinations, 1512 three-drug combinations, 5670 four-drug combinations, and 13608 five-drug combinations). Directly opposite to previous assumptions and reports, we find higher-order interactions increase in frequency with the number of drugs in the bacteria’s environment. Specifically, as more drugs are added, we observe an elevated frequency of net synergy (effect greater than expected based on independent individual effects) and also increased instances of emergent antagonism (effect less than expected based on lower-order interaction effects). These findings have implications for the potential efficacy of drug combinations and are crucial for better navigating problems associated with the combinatorial complexity of multi-component systems. |
format | Online Article Text |
id | pubmed-6119685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61196852018-09-04 Prevalence and patterns of higher-order drug interactions in Escherichia coli Tekin, Elif White, Cynthia Kang, Tina Manzhu Singh, Nina Cruz-Loya, Mauricio Damoiseaux, Robert Savage, Van M. Yeh, Pamela J. NPJ Syst Biol Appl Article Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components. To gain deeper insights into higher-order interactions and complex environments, we study antibiotic combinations applied to pathogenic Escherichia coli and obtain unprecedented amounts of detailed data (251 two-drug combinations, 1512 three-drug combinations, 5670 four-drug combinations, and 13608 five-drug combinations). Directly opposite to previous assumptions and reports, we find higher-order interactions increase in frequency with the number of drugs in the bacteria’s environment. Specifically, as more drugs are added, we observe an elevated frequency of net synergy (effect greater than expected based on independent individual effects) and also increased instances of emergent antagonism (effect less than expected based on lower-order interaction effects). These findings have implications for the potential efficacy of drug combinations and are crucial for better navigating problems associated with the combinatorial complexity of multi-component systems. Nature Publishing Group UK 2018-09-03 /pmc/articles/PMC6119685/ /pubmed/30181902 http://dx.doi.org/10.1038/s41540-018-0069-9 Text en © The Author(s) 2018 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/. |
spellingShingle | Article Tekin, Elif White, Cynthia Kang, Tina Manzhu Singh, Nina Cruz-Loya, Mauricio Damoiseaux, Robert Savage, Van M. Yeh, Pamela J. Prevalence and patterns of higher-order drug interactions in Escherichia coli |
title | Prevalence and patterns of higher-order drug interactions in Escherichia coli |
title_full | Prevalence and patterns of higher-order drug interactions in Escherichia coli |
title_fullStr | Prevalence and patterns of higher-order drug interactions in Escherichia coli |
title_full_unstemmed | Prevalence and patterns of higher-order drug interactions in Escherichia coli |
title_short | Prevalence and patterns of higher-order drug interactions in Escherichia coli |
title_sort | prevalence and patterns of higher-order drug interactions in escherichia coli |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6119685/ https://www.ncbi.nlm.nih.gov/pubmed/30181902 http://dx.doi.org/10.1038/s41540-018-0069-9 |
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