A putative “chemokine switch” that regulates systemic acute inflammation in humans
Abstract Systemic inflammation is complex and likely drives clinical outcomes in critical illness such as that which ensues following severe injury. We obtained time course data on multiple inflammatory mediators in the blood of blunt trauma patients. Using dynamic network analyses, we inferred a no...
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2021-05-01
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doaj-eaee90484a5b42d6b93c66d1d070bc502021-05-09T11:31:02ZengNature Publishing GroupScientific Reports2045-23222021-05-0111111410.1038/s41598-021-88936-8A putative “chemokine switch” that regulates systemic acute inflammation in humansNabil Azhar0Rami A. Namas1Khalid Almahmoud2Akram Zaaqoq3Othman A. Malak4Derek Barclay5Jinling Yin6Fayten El-Dehaibi7Andrew Abboud8Richard L. Simmons9Ruben Zamora10Timothy R. Billiar11Yoram Vodovotz12Department of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghDepartment of Surgery, University of PittsburghAbstract Systemic inflammation is complex and likely drives clinical outcomes in critical illness such as that which ensues following severe injury. We obtained time course data on multiple inflammatory mediators in the blood of blunt trauma patients. Using dynamic network analyses, we inferred a novel control architecture for systemic inflammation: a three-way switch comprising the chemokines MCP-1/CCL2, MIG/CXCL9, and IP-10/CXCL10. To test this hypothesis, we created a logical model comprising this putative architecture. This model predicted key qualitative features of systemic inflammation in patient sub-groups, as well as the different patterns of hospital discharge of moderately vs. severely injured patients. Thus, a rational transition from data to data-driven models to mechanistic models suggests a novel, chemokine-based mechanism for control of acute inflammation in humans and points to the potential utility of this workflow in defining novel features in other complex diseases.https://doi.org/10.1038/s41598-021-88936-8 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nabil Azhar Rami A. Namas Khalid Almahmoud Akram Zaaqoq Othman A. Malak Derek Barclay Jinling Yin Fayten El-Dehaibi Andrew Abboud Richard L. Simmons Ruben Zamora Timothy R. Billiar Yoram Vodovotz |
spellingShingle |
Nabil Azhar Rami A. Namas Khalid Almahmoud Akram Zaaqoq Othman A. Malak Derek Barclay Jinling Yin Fayten El-Dehaibi Andrew Abboud Richard L. Simmons Ruben Zamora Timothy R. Billiar Yoram Vodovotz A putative “chemokine switch” that regulates systemic acute inflammation in humans Scientific Reports |
author_facet |
Nabil Azhar Rami A. Namas Khalid Almahmoud Akram Zaaqoq Othman A. Malak Derek Barclay Jinling Yin Fayten El-Dehaibi Andrew Abboud Richard L. Simmons Ruben Zamora Timothy R. Billiar Yoram Vodovotz |
author_sort |
Nabil Azhar |
title |
A putative “chemokine switch” that regulates systemic acute inflammation in humans |
title_short |
A putative “chemokine switch” that regulates systemic acute inflammation in humans |
title_full |
A putative “chemokine switch” that regulates systemic acute inflammation in humans |
title_fullStr |
A putative “chemokine switch” that regulates systemic acute inflammation in humans |
title_full_unstemmed |
A putative “chemokine switch” that regulates systemic acute inflammation in humans |
title_sort |
putative “chemokine switch” that regulates systemic acute inflammation in humans |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-05-01 |
description |
Abstract Systemic inflammation is complex and likely drives clinical outcomes in critical illness such as that which ensues following severe injury. We obtained time course data on multiple inflammatory mediators in the blood of blunt trauma patients. Using dynamic network analyses, we inferred a novel control architecture for systemic inflammation: a three-way switch comprising the chemokines MCP-1/CCL2, MIG/CXCL9, and IP-10/CXCL10. To test this hypothesis, we created a logical model comprising this putative architecture. This model predicted key qualitative features of systemic inflammation in patient sub-groups, as well as the different patterns of hospital discharge of moderately vs. severely injured patients. Thus, a rational transition from data to data-driven models to mechanistic models suggests a novel, chemokine-based mechanism for control of acute inflammation in humans and points to the potential utility of this workflow in defining novel features in other complex diseases. |
url |
https://doi.org/10.1038/s41598-021-88936-8 |
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