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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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