Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Jan-Feb;18(1):3-7.
doi: 10.1111/j.1524-475X.2009.00566.x.

Translational systems biology of inflammation and healing

Affiliations

Translational systems biology of inflammation and healing

Yoram Vodovotz. Wound Repair Regen. 2010 Jan-Feb.

Abstract

Personalized medicine is a major goal for the future of healthcare, and we suggest that computational simulations are necessary in order to achieve it. Inflammatory diseases, both acute and chronic, represent an area in which personalized medicine is especially needed, given the high level of individual variability that characterizes these diseases. We have created such simulations, and have used them to gain basic insights into the inflammatory response under baseline, gene-knockout, and drug-treated experimental animals; for in silico experiments and clinical trials in sepsis, trauma, and wound healing; and to create patient-specific simulations in polytrauma, traumatic brain injury, and vocal fold inflammation. Since they include both circulating and tissue-level inflammatory mediators, these simulations transcend typical cytokine networks by associating inflammatory processes with tissue/organ damage via tissue damage/dysfunction. We suggest that computational simulations are the cornerstone of Translational Systems Biology approaches for inflammatory diseases.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Vodovotz Y, Csete M, Bartels J, Chang S, An G. Translational systems biology of inflammation. PLoS Comput Biol. 2008;4:1–6. - PMC - PubMed
    1. Ideker T, Galitski T, Hood L. A new approach to decoding life: systems biology. Annu Rev Genom Hum Genet. 2001;2:343–72. - PubMed
    1. Kitano H. Computational systems biology. Nature. 2002;420:206–10. - PubMed
    1. Buchman TG. The community of the self. Nature. 2002;420:246–51. - PubMed
    1. Doyle J, Csete M. Rules of engagement. Nature. 2007;446:860. - PubMed

Publication types