Research Interests
My long-term research goals are to obtain high-dimensional, dynamic data on the etiology and progression of various inflammatory processes and diseases in samples derived from cells, animals, and people; to create computational models based on these data; and to modulate the inflammatory response in an optimal spatial, temporal, and individual- / disease-specific manner. More specifically, my research interests, carried out in the context of an interdisciplinary research team, are the following:
- Systems biology and computational modeling of inflammation, immunity, and wound healing in various disease states, especially infection, trauma/hemorrhage, wound healing, and liver failure, as well as the application of these computational approaches to regenerative medicine, biomarker discovery, and rational drug/device design
- Rational Inflammation Reprogramming based on engineering principles and computational modeling
Selected Publications
View Dr. Vodovotz's publications on PubMed
1. Translational Systems Biology: Concepts and Practice for the Future of Biomedical Research. An, G. and Vodovotz, Y. New York, NY: Elsevier. 2014. ISBN: 9780123978844.
2. Brown, D.; Namas, R.A.; Almahmoud, K.; Zaaqoq, A.; Sarkar, J.; Barclay, D.A.; Yin, J.; Ghuma, A.; Abboud, A.; Constantine, G.; Nieman, G.; Zamora, R.; Chang, S.C.; Billiar, T.R.; Vodovotz, Y. Trauma in silico: Individual-specific mathematical models and virtual clinical populations. Science Translational Med. 2015. 7:285ra61
3. Abboud, A.N.; Namas, R.A.; Ramadan, M.; Mi, Q.; Almahmoud, K.; Abdul-Malak, O.; Azhar, N.; Zaaqoq, A.; Namas, R.; Barclay, D.A.; Yin, J.; Sperry, J.; Peitzman, A.; Zamora, R.; Simmons, R.A.; Billiar, T.R.; Vodovotz, Y. Computational analysis supports an early, type 17 cell-associated divergence of blunt trauma survival and mortality. Crit. Care Med. 2016. 44:e1074-e1081. Editorial: Buchman, T.G.: A Glimpse of Precision Medicine for Multiple-Organ Dysfunction Syndrome. Crit Care Med. 2016. 44:2121-2122.
4. Schimunek, L.; Lindberg, H.; Cohen, M.; Namas, R.A.; Yin, J.; Barclay, D.; El-Dehaibi, F.; Abboud, A.; Zamora, R.; Billiar, T.R.; Vodovotz, Y. Computational derivation of core, dynamic human blunt trauma inflammatory endotypes. Frontiers Immunol. 2021. https://doi.org/10.3389/fimmu.2020.589304
5. Azhar, N.; Namas, R.A.; Almahmoud*, K.; Zaaqoq, A.; Barclay, D.; Yin, J.; El-Dehaibi, F.; Abboud, A.; Simmons, R.L.; Zamora, R.; Billiar, T.R.; Vodovotz, Y. A Putative “chemokine switch” that regulates systemic acute inflammation in humans. Sci. Rep. 2021. 11:9703. doi: 10.1038/s41598-021-88936-8
6. Day, J.*; Park, S.*; Ranard, B.L.; Singh, H.#; Chow, C.C.#; Vodovotz, Y#. Divergent COVID-19 archetypes predicted by individualized perturbations of a core immune regulatory network. Frontiers Immunol. 2021. https://doi.org/10.3389/fimmu.2021.754127 *:Co-first authors. #:Co-senior authors.
7. Namas, R.; Mikheev, M.; Yin, J.; Barclay, D.; Jefferson, B.; Mi, Q.; Billiar, T.R.; Zamora, R.; Gerlach, J.; Vodovotz, Y. An adaptive, negative feedback circuit in a biohybrid device reprograms dynamic networks of systemic inflammation in vivo. Frontiers Systems Biol. 2023. https://doi.org/10.3389/fsysb.2022.926618
8. Zamora, R.; Forsberg, J.; Shah, A.M.; Unselt, D.; Grey, S.; Lisboa, F.A.; Billiar, T.R.; Schobel, S.; Potter, B.K.; Elster, E.*; Vodovotz, Y.* Central role for neurally dysregulated IL-17A in dynamic networks of systemic and local inflammation in combat casualties. Sci. Rep. 2023. 13:6618. https://doi.org/10.1038/s41598-023-33623-z *Co-senior authors.
9. El-Dehaibi, F.*; Zamora, R.*; Radder, J.*; Yin, J.*; Shah, A.M.; Namas, R.A.; Situ, M.; Zhao, Y.; Bain, W.; Morris, A.; McVerry, B.J.; Barclay, D.A.; Billiar, T.R.#; Zhang, Y.#; Kitsios, G.D.#; Vodovotz, Y.# A common single nucleotide polymorphism is associated with inflammation and critical illness outcomes. iScience. 2023. 26:10833. DOI:https://doi.org/10.1016/j.isci.2023.108333 *Co-first authors; #Co-senior authors.
10. Cannon, J.W.; Gruen, D.; Brostoff, N.; Hurst, K.; Harn, J.; El-Dehaibi, F.; Namas, R.; Sperry, J.L.; Holcomb, J.B.; Cotton, B.A.; Nam, J.J.; Underwood, S.; Schreiber, M.A.; Chung, K.K.; Batchinsky, A.I.; Cancio, L.C.; Benjamin, A.J.; Fox, E.E.; Chang, S.C.; Cap, A.P.; Vodovotz, Y.; Digital twin mathematical models integrate large-animal and human data and suggest individualized shock resuscitation strategies. Commun. Med. 2024. 4:113. https://doi.org/10.1038/s43856-024-00535-6