• David Brown, Yoram Vodovotz, Timothy R Billiar, Ruben Zamora, Louis Gatto, Derek Barclay, Gary Nieman, Joydeep Sarkar, Brian Kubiak, Cordelia Ziraldo, Joyeeta Dutta-Moscato, Christopher Vieau, Kristopher Maier, Gregory Constantine, and Qi Mi.
• Department of Surgery, Upstate Medical University, Syracuse, NY, USA.
• Crit. Care Med.. 2012 Apr 1;40(4):1052-63.

ObjectiveTo gain insights into individual variations in acute inflammation and physiology.DesignLarge-animal study combined with mathematical modeling.SettingAcademic large-animal and computational laboratories.SubjectsOutbred juvenile swine.InterventionsFour swine were instrumented and subjected to endotoxemia (100 µg/kg), followed by serial plasma sampling.Measurements And Main ResultsSwine exhibited various degrees of inflammation and acute lung injury, including one death with severe acute lung injury (PaO(2)/FIO(2) ratio μ200 and static compliance μ10 L/cm H(2)O). Plasma interleukin-1β, interleukin-4, interleukin-6, interleukin-8, interleukin-10, tumor necrosis factor-α, high mobility group box-1, and NO(2)/NO(3) were significantly (p μ .05) elevated over the course of the experiment. Principal component analysis was used to suggest principal drivers of inflammation. Based in part on principal component analysis, an ordinary differential equation model was constructed, consisting of the lung and the blood (as a surrogate for the rest of the body), in which endotoxin induces tumor necrosis factor-α in monocytes in the blood, followed by the trafficking of these cells into the lung leading to the release of high mobility group box-1, which in turn stimulates the release of interleukin-1β from resident macrophages. The ordinary differential equation model also included blood pressure, PaO(2), and FIO(2), and a damage variable that summarizes the health of the animal. This ordinary differential equation model could be fit to both inflammatory and physiologic data in the individual swine. The predicted time course of damage could be matched to the oxygen index in three of the four swine.ConclusionsThe approach described herein may aid in predicting inflammation and physiologic dysfunction in small cohorts of subjects with diverse phenotypes and outcomes.

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