Translational systems approaches to the biology of inflammation and healing

Yoram Vodovotz, Gregory Constantine, James Faeder, Qi Mi, Jonathan Rubin, John Bartels, Joydeep Sarkar, Robert H. Squires, David O. Okonkwo, Jörg Gerlach, Ruben Zamora, Shirley Luckhart, Bard Ermentrout, Gary An

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

Inflammation is a complex, non-linear process central to many of the diseases that affect both developed and emerging nations. A systems-based understanding of inflammation, coupled to translational applications, is therefore necessary for efficient development of drugs and devices, for streamlining analyses at the level of populations, and for the implementation of personalized medicine. We have carried out an iterative and ongoing program of literature analysis, generation of prospective data, data analysis, and computational modeling in various experimental and clinical inflammatory disease settings. These simulations have been used to gain basic insights into the inflammatory response under baseline, gene-knockout, and drug-treated experimental animals for in silico studies associated with the clinical settings of sepsis, trauma, acute liver failure, and wound healing to create patient-specific simulations in polytrauma, traumatic brain injury, and vocal fold inflammation; and to gain insight into host-pathogen interactions in malaria, necrotizing enterocolitis, and sepsis. These simulations have converged with other systems biology approaches (e.g., functional genomics) to aid in the design of new drugs or devices geared towards modulating inflammation. Since they include both circulating and tissue-level inflammatory mediators, these simulations transcend typical cytokine networks by associating inflammatory processes with tissue/organ impacts via tissue damage/dysfunction. This framework has now allowed us to suggest how to modulate acute inflammation in a rational, individually optimized fashion. This plethora of computational and intertwined experimental/engineering approaches is the cornerstone of Translational Systems Biology approaches for inflammatory diseases.

Original languageEnglish (US)
Pages (from-to)181-195
Number of pages15
JournalImmunopharmacology and Immunotoxicology
Volume32
Issue number2
DOIs
StatePublished - Jun 2010

Fingerprint

Tissue
Inflammation
Systems Biology
Pharmaceutical Preparations
Pathogens
Sepsis
Liver
Medicine
Patient Simulation
Brain
Animals
Equipment Design
Host-Pathogen Interactions
Genes
Necrotizing Enterocolitis
Precision Medicine
Gene Knockout Techniques
Acute Liver Failure
Vocal Cords
Cytokines

Keywords

  • Computational biology
  • Inflammation
  • Mathematical modeling
  • Systems biology
  • Translational research

ASJC Scopus subject areas

  • Immunology
  • Immunology and Allergy
  • Pharmacology
  • Toxicology

Cite this

Vodovotz, Y., Constantine, G., Faeder, J., Mi, Q., Rubin, J., Bartels, J., ... An, G. (2010). Translational systems approaches to the biology of inflammation and healing. Immunopharmacology and Immunotoxicology, 32(2), 181-195. https://doi.org/10.3109/08923970903369867

Translational systems approaches to the biology of inflammation and healing. / Vodovotz, Yoram; Constantine, Gregory; Faeder, James; Mi, Qi; Rubin, Jonathan; Bartels, John; Sarkar, Joydeep; Squires, Robert H.; Okonkwo, David O.; Gerlach, Jörg; Zamora, Ruben; Luckhart, Shirley; Ermentrout, Bard; An, Gary.

In: Immunopharmacology and Immunotoxicology, Vol. 32, No. 2, 06.2010, p. 181-195.

Research output: Contribution to journalArticle

Vodovotz, Y, Constantine, G, Faeder, J, Mi, Q, Rubin, J, Bartels, J, Sarkar, J, Squires, RH, Okonkwo, DO, Gerlach, J, Zamora, R, Luckhart, S, Ermentrout, B & An, G 2010, 'Translational systems approaches to the biology of inflammation and healing', Immunopharmacology and Immunotoxicology, vol. 32, no. 2, pp. 181-195. https://doi.org/10.3109/08923970903369867
Vodovotz, Yoram ; Constantine, Gregory ; Faeder, James ; Mi, Qi ; Rubin, Jonathan ; Bartels, John ; Sarkar, Joydeep ; Squires, Robert H. ; Okonkwo, David O. ; Gerlach, Jörg ; Zamora, Ruben ; Luckhart, Shirley ; Ermentrout, Bard ; An, Gary. / Translational systems approaches to the biology of inflammation and healing. In: Immunopharmacology and Immunotoxicology. 2010 ; Vol. 32, No. 2. pp. 181-195.
@article{62113bd6836d451fac78f1c2d7687e2d,
title = "Translational systems approaches to the biology of inflammation and healing",
abstract = "Inflammation is a complex, non-linear process central to many of the diseases that affect both developed and emerging nations. A systems-based understanding of inflammation, coupled to translational applications, is therefore necessary for efficient development of drugs and devices, for streamlining analyses at the level of populations, and for the implementation of personalized medicine. We have carried out an iterative and ongoing program of literature analysis, generation of prospective data, data analysis, and computational modeling in various experimental and clinical inflammatory disease settings. These simulations have been used to gain basic insights into the inflammatory response under baseline, gene-knockout, and drug-treated experimental animals for in silico studies associated with the clinical settings of sepsis, trauma, acute liver failure, and wound healing to create patient-specific simulations in polytrauma, traumatic brain injury, and vocal fold inflammation; and to gain insight into host-pathogen interactions in malaria, necrotizing enterocolitis, and sepsis. These simulations have converged with other systems biology approaches (e.g., functional genomics) to aid in the design of new drugs or devices geared towards modulating inflammation. Since they include both circulating and tissue-level inflammatory mediators, these simulations transcend typical cytokine networks by associating inflammatory processes with tissue/organ impacts via tissue damage/dysfunction. This framework has now allowed us to suggest how to modulate acute inflammation in a rational, individually optimized fashion. This plethora of computational and intertwined experimental/engineering approaches is the cornerstone of Translational Systems Biology approaches for inflammatory diseases.",
keywords = "Computational biology, Inflammation, Mathematical modeling, Systems biology, Translational research",
author = "Yoram Vodovotz and Gregory Constantine and James Faeder and Qi Mi and Jonathan Rubin and John Bartels and Joydeep Sarkar and Squires, {Robert H.} and Okonkwo, {David O.} and J{\"o}rg Gerlach and Ruben Zamora and Shirley Luckhart and Bard Ermentrout and Gary An",
year = "2010",
month = "6",
doi = "10.3109/08923970903369867",
language = "English (US)",
volume = "32",
pages = "181--195",
journal = "Immunopharmacology and Immunotoxicology",
issn = "0892-3973",
publisher = "Informa Healthcare",
number = "2",

}

TY - JOUR

T1 - Translational systems approaches to the biology of inflammation and healing

AU - Vodovotz, Yoram

AU - Constantine, Gregory

AU - Faeder, James

AU - Mi, Qi

AU - Rubin, Jonathan

AU - Bartels, John

AU - Sarkar, Joydeep

AU - Squires, Robert H.

AU - Okonkwo, David O.

AU - Gerlach, Jörg

AU - Zamora, Ruben

AU - Luckhart, Shirley

AU - Ermentrout, Bard

AU - An, Gary

PY - 2010/6

Y1 - 2010/6

N2 - Inflammation is a complex, non-linear process central to many of the diseases that affect both developed and emerging nations. A systems-based understanding of inflammation, coupled to translational applications, is therefore necessary for efficient development of drugs and devices, for streamlining analyses at the level of populations, and for the implementation of personalized medicine. We have carried out an iterative and ongoing program of literature analysis, generation of prospective data, data analysis, and computational modeling in various experimental and clinical inflammatory disease settings. These simulations have been used to gain basic insights into the inflammatory response under baseline, gene-knockout, and drug-treated experimental animals for in silico studies associated with the clinical settings of sepsis, trauma, acute liver failure, and wound healing to create patient-specific simulations in polytrauma, traumatic brain injury, and vocal fold inflammation; and to gain insight into host-pathogen interactions in malaria, necrotizing enterocolitis, and sepsis. These simulations have converged with other systems biology approaches (e.g., functional genomics) to aid in the design of new drugs or devices geared towards modulating inflammation. Since they include both circulating and tissue-level inflammatory mediators, these simulations transcend typical cytokine networks by associating inflammatory processes with tissue/organ impacts via tissue damage/dysfunction. This framework has now allowed us to suggest how to modulate acute inflammation in a rational, individually optimized fashion. This plethora of computational and intertwined experimental/engineering approaches is the cornerstone of Translational Systems Biology approaches for inflammatory diseases.

AB - Inflammation is a complex, non-linear process central to many of the diseases that affect both developed and emerging nations. A systems-based understanding of inflammation, coupled to translational applications, is therefore necessary for efficient development of drugs and devices, for streamlining analyses at the level of populations, and for the implementation of personalized medicine. We have carried out an iterative and ongoing program of literature analysis, generation of prospective data, data analysis, and computational modeling in various experimental and clinical inflammatory disease settings. These simulations have been used to gain basic insights into the inflammatory response under baseline, gene-knockout, and drug-treated experimental animals for in silico studies associated with the clinical settings of sepsis, trauma, acute liver failure, and wound healing to create patient-specific simulations in polytrauma, traumatic brain injury, and vocal fold inflammation; and to gain insight into host-pathogen interactions in malaria, necrotizing enterocolitis, and sepsis. These simulations have converged with other systems biology approaches (e.g., functional genomics) to aid in the design of new drugs or devices geared towards modulating inflammation. Since they include both circulating and tissue-level inflammatory mediators, these simulations transcend typical cytokine networks by associating inflammatory processes with tissue/organ impacts via tissue damage/dysfunction. This framework has now allowed us to suggest how to modulate acute inflammation in a rational, individually optimized fashion. This plethora of computational and intertwined experimental/engineering approaches is the cornerstone of Translational Systems Biology approaches for inflammatory diseases.

KW - Computational biology

KW - Inflammation

KW - Mathematical modeling

KW - Systems biology

KW - Translational research

UR - http://www.scopus.com/inward/record.url?scp=77952163906&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952163906&partnerID=8YFLogxK

U2 - 10.3109/08923970903369867

DO - 10.3109/08923970903369867

M3 - Article

VL - 32

SP - 181

EP - 195

JO - Immunopharmacology and Immunotoxicology

JF - Immunopharmacology and Immunotoxicology

SN - 0892-3973

IS - 2

ER -