INFLAMMATION

Acute and chronic inflammation impedes a Warfighter's performance and health. We aim to identify key biochemical components and interactions that determine the physiological consequences of inflammation and reveal biochemical predictors of disease progression and outcomes in conditions, such as heat stroke, musculoskeletal injury, and viral or bacterial infections.

Publications

Hobbs, S., M. Reynoso, A. V. Geddis, A. Y. Mitrophanov, and R. W. Matheny, Jr. LPS-stimulated NF-kappaB p65 dynamic response marks the initiation of TNF expression and transition to IL-10 expression in RAW 264.7 macrophages. Physiological Reports. 2018 November 15; 6(21):e13914. [PDF, PubMed]

Nagaraja, S., L. Chen, L. A. DiPietro, J. Reifman, and A. Y. Mitrophanov. Computational analysis identifies putative prognostic biomarkers of pathological scarring in skin wounds. Journal of Translational Medicine. 2018 February 20; 16:32. [PDF, PubMed]

Chen, L., S. Nagaraja, J. Zhou, Y. Zhao, D. Fine, A. Y. Mitrophanov, J. Reifman, and L. A. DiPietro. Wound healing in Mac-1 deficient mice. Wound Repair and Regeneration. 2017 May; 25(3):366-376. [PDF, PubMed]

Nagaraja, S., L. Chen, J. Zhou, Y. Zhao, D. Fine, L. A. DiPietro, J. Reifman, and A. Y. Mitrophanov. Predictive analysis of mechanistic triggers and mitigation strategies for pathological scarring in skin wounds. Journal of Immunology. 2017 January 15; 198(2):832-841. [PDF, PubMed]

Tomaiuolo, M., M. Kottke, R. W. Matheny, J. Reifman, and A. Y. Mitrophanov. Computational identification and analysis of signaling subnetworks with distinct functional roles in the regulation of TNF production. Molecular BioSystems. 2016 March 1; 12(3):826-838. [PDF, PubMed]

Nagaraja, S., J. Reifman, and A. Y. Mitrophanov. Computational identification of mechanistic factors that determine the timing and intensity of the inflammatory response. PLOS Computational Biology. 2015 December 3; 11(12):e1004460. [PDF, PubMed]

Scheff, J. D., J. D. Stallings, J. Reifman, and V. Rakesh. Mathematical modeling of the heat-shock response in HeLa cells. Biophysical Journal. 2015 July 12; 109(2):182-193. [PDF, PubMed]

Ippolito, D. L., J. A. Lewis, C. Yu, L. R. Leon, and J. D. Stallings. Alteration in circulating metabolites during and after heat stress in the conscious rat: potential biomarkers of exposure and organ-specific injury. BMC Physiology. 2014 December 24; 14:14. [PDF, PubMed]

Stallings, J. D., D. L. Ippolito, V. Rakesh, C. E. Baer, W. E. Dennis, B. G. Helwig, D. A. Jackson, L. R. Leon, J. A. Lewis, and J. Reifman. Patterns of gene expression associated with recovery and injury in heat-stressed rats. BMC Genomics. 2014 December 3; 15:1058. [PDF, PubMed]

Rakesh, V., J. D. Stallings, and J. Reifman. A virtual rat for simulating environmental and exertional heat stress. Journal of Applied Physiology. 2014 December 1; 117(11):1278-1286. [PDF, PubMed]

Nagaraja, S., A. Wallqvist, J. Reifman, and A. Y. Mitrophanov. Computational approach to characterize causative factors and molecular indicators of chronic wound inflammation. Journal of Immunology. 2014 February 15; 192(4):1824-1834. [PDF, PubMed]

Rakesh, V., J. D. Stallings, B. G. Helwig, L. R. Leon, D. A. Jackson, and J. Reifman. A 3-D mathematical model to identify organ-specific risks in rats during thermal stress. Journal of Applied Physiology. 2013 December 15; 115(12):1822-1837. [PDF, PubMed]