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A computational analysis of dynamic, multi-organ inflammatory crosstalk induced by endotoxin in mice

  • Ruben Zamora
  • , Sebastian Korff
  • , Qi Mi
  • , Derek Barclay
  • , Lukas Schimunek
  • , Riccardo Zucca
  • , Xerxes D. Arsiwalla
  • , Richard L. Simmons
  • , Paul Verschure
  • , Timothy R. Billiar
  • , Yoram Vodovotz*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

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.

Original languageEnglish
Article numbere1006582
JournalPLoS Computational Biology
Volume14
Issue number11
DOIs
StatePublished - Nov 2018

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