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A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice
Bacterial lipopolysaccharide (LPS) induces an acute inflammatory response across multiple organs, primarily via Toll-like receptor 4 (TLR4). We sought to define novel aspects of the complex spatiotemporal dynamics of LPS-induced inflammation using computational modeling, with a special focus on the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239343/ https://www.ncbi.nlm.nih.gov/pubmed/30399158 http://dx.doi.org/10.1371/journal.pcbi.1006582 |
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author | Zamora, Ruben Korff, Sebastian Mi, Qi Barclay, Derek Schimunek, Lukas Zucca, Riccardo Arsiwalla, Xerxes D. Simmons, Richard L. Verschure, Paul Billiar, Timothy R. Vodovotz, Yoram |
author_facet | Zamora, Ruben Korff, Sebastian Mi, Qi Barclay, Derek Schimunek, Lukas Zucca, Riccardo Arsiwalla, Xerxes D. Simmons, Richard L. Verschure, Paul Billiar, Timothy R. Vodovotz, Yoram |
author_sort | Zamora, Ruben |
collection | PubMed |
description | Bacterial lipopolysaccharide (LPS) induces an acute inflammatory response across multiple organs, primarily via Toll-like receptor 4 (TLR4). We sought to define novel aspects of the complex spatiotemporal dynamics of LPS-induced inflammation using computational modeling, with a special focus on the timing of pathological systemic spillover. An analysis of principal drivers of LPS-induced inflammation in the heart, gut, lung, liver, spleen, and kidney to assess organ-specific dynamics, as well as in the plasma (as an assessment of systemic spillover), was carried out using data on 20 protein-level inflammatory mediators measured over 0-48h in both C57BL/6 and TLR4-null mice. Using a suite of computational techniques, including a time-interval variant of Principal Component Analysis, we confirm key roles for cytokines such as tumor necrosis factor-α and interleukin-17A, define a temporal hierarchy of organ-localized inflammation, and infer the point at which organ-localized inflammation spills over systemically. Thus, by employing a systems biology approach, we obtain a novel perspective on the time- and organ-specific components in the propagation of acute systemic inflammation. |
format | Online Article Text |
id | pubmed-6239343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62393432018-12-06 A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice Zamora, Ruben Korff, Sebastian Mi, Qi Barclay, Derek Schimunek, Lukas Zucca, Riccardo Arsiwalla, Xerxes D. Simmons, Richard L. Verschure, Paul Billiar, Timothy R. Vodovotz, Yoram PLoS Comput Biol Research Article Bacterial lipopolysaccharide (LPS) induces an acute inflammatory response across multiple organs, primarily via Toll-like receptor 4 (TLR4). We sought to define novel aspects of the complex spatiotemporal dynamics of LPS-induced inflammation using computational modeling, with a special focus on the timing of pathological systemic spillover. An analysis of principal drivers of LPS-induced inflammation in the heart, gut, lung, liver, spleen, and kidney to assess organ-specific dynamics, as well as in the plasma (as an assessment of systemic spillover), was carried out using data on 20 protein-level inflammatory mediators measured over 0-48h in both C57BL/6 and TLR4-null mice. Using a suite of computational techniques, including a time-interval variant of Principal Component Analysis, we confirm key roles for cytokines such as tumor necrosis factor-α and interleukin-17A, define a temporal hierarchy of organ-localized inflammation, and infer the point at which organ-localized inflammation spills over systemically. Thus, by employing a systems biology approach, we obtain a novel perspective on the time- and organ-specific components in the propagation of acute systemic inflammation. Public Library of Science 2018-11-06 /pmc/articles/PMC6239343/ /pubmed/30399158 http://dx.doi.org/10.1371/journal.pcbi.1006582 Text en © 2018 Zamora et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zamora, Ruben Korff, Sebastian Mi, Qi Barclay, Derek Schimunek, Lukas Zucca, Riccardo Arsiwalla, Xerxes D. Simmons, Richard L. Verschure, Paul Billiar, Timothy R. Vodovotz, Yoram A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice |
title | A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice |
title_full | A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice |
title_fullStr | A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice |
title_full_unstemmed | A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice |
title_short | A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice |
title_sort | computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239343/ https://www.ncbi.nlm.nih.gov/pubmed/30399158 http://dx.doi.org/10.1371/journal.pcbi.1006582 |
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