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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...

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Autores principales: Tekin, Elif, White, Cynthia, Kang, Tina Manzhu, Singh, Nina, Cruz-Loya, Mauricio, Damoiseaux, Robert, Savage, Van M., Yeh, Pamela J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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