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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The dynamics of acute inflammation

Kumar, Rukmini, Clermont, Gilles, Vodovotz, Yoram, Chow, Carson C.·2004·Journal of Theoretical Biology

Abstract

When the body is infected, it mounts an acute inflammatory response to rid itself of the pathogens and restore health. Uncontrolled acute inflammation due to infection is defined clinically as sepsis and can culminate in organ failure and death. We consider a three-dimensional ordinary differential equation model of inflammation consisting of a pathogen, and two inflammatory mediators. The model reproduces the healthy outcome and diverse negative outcomes, depending on initial conditions and parameters. We analyze the various bifurcations between the different outcomes when key parameters are changed and suggest various therapeutic strategies. We suggest that the clinical condition of sepsis can arise from several distinct physiological states, each of which requires a different treatment approach.

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Crossref · 10.1016/j.jtbi.2004.04.044

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Metadata

Authors
Kumar, R., Clermont, G., Vodovotz, Y., & Chow, C. C.
Venue
Journal of Theoretical Biology
Publisher
Elsevier BV
Published
2004-09
Volume
230
Issue
2
Pages
145-155
ISSN
0022-5193 (ISSN-L)
OpenAlex
W2156661166
Cited by
322
References
4
FWCI
5.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The dynamics of acute inflammation. https://app.cochat.ai/papers/10.1016/j.jtbi.2004.04.044
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Kumar, R., Clermont, G., Vodovotz, Y., & Chow, C. C. (2004). The dynamics of acute inflammation. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2004.04.044

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.