메뉴 건너뛰기




Volumn 41, Issue 8, 2013, Pages 2008-2014

In silico modeling: Methods and applications to trauma and sepsis

Author keywords

Inflammation; Mathematical model; Sepsis; Trauma

Indexed keywords

COMPUTER MODEL; CRITICAL ILLNESS; HUMAN; INJURY; MEDICAL LITERATURE; POSITIVE FEEDBACK; PRIORITY JOURNAL; REVIEW; SEPSIS;

EID: 84880960789     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0b013e31829a6eb4     Document Type: Review
Times cited : (56)

References (109)
  • 1
    • 82755186505 scopus 로고    scopus 로고
    • Year in review 2010: Critical Care-Multiple organ dysfunction and sepsis
    • de Montmollin E, Annane D: Year in review 2010: Critical Care-Multiple organ dysfunction and sepsis. Crit Care 2011; 15:236
    • (2011) Crit Care , vol.15 , pp. 236
    • De Montmollin, E.1    Annane, D.2
  • 2
    • 79953090085 scopus 로고    scopus 로고
    • Multiple organ failure in sepsis: Prognosis and role of systemic inflammatory response
    • Gustot T: Multiple organ failure in sepsis: Prognosis and role of systemic inflammatory response. Curr Opin Crit Care 2011; 17:153-159
    • (2011) Curr Opin Crit Care , vol.17 , pp. 153-159
    • Gustot, T.1
  • 3
    • 84868321505 scopus 로고    scopus 로고
    • Sepsis: From pattern to mechanism and back
    • An G, Namas RA, Vodovotz Y: Sepsis: From pattern to mechanism and back. Crit Rev Biomed Eng 2012; 40:341-351
    • (2012) Crit Rev Biomed Eng , vol.40 , pp. 341-351
    • An, G.1    Namas, R.A.2    Vodovotz, Y.3
  • 4
    • 0034958947 scopus 로고    scopus 로고
    • Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care
    • Angus DC, Linde-Zwirble WT, Lidicker J, et al: Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29:1303-1310
    • (2001) Crit Care Med , vol.29 , pp. 1303-1310
    • Angus, D.C.1    Linde-Zwirble, W.T.2    Lidicker, J.3
  • 5
    • 75149172745 scopus 로고    scopus 로고
    • The acute inflammatory response in trauma/hemorrhage and traumatic brain injury: Current state and emerging prospects
    • Namas R, Ghuma A, Hermus L, et al: The acute inflammatory response in trauma/hemorrhage and traumatic brain injury: Current state and emerging prospects. Libyan J Med 2009; 4:97-103
    • (2009) Libyan J Med , vol.4 , pp. 97-103
    • Namas, R.1    Ghuma, A.2    Hermus, L.3
  • 6
    • 69949086750 scopus 로고    scopus 로고
    • Global patterns of mortality in young people: A systematic analysis of population health data
    • Patton GC, Coffey C, Sawyer SM, et al: Global patterns of mortality in young people: A systematic analysis of population health data. Lancet 2009; 374:881-892
    • (2009) Lancet , vol.374 , pp. 881-892
    • Patton, G.C.1    Coffey, C.2    Sawyer, S.M.3
  • 8
    • 57749172576 scopus 로고    scopus 로고
    • Mechanistic simulations of inflammation: Current state and future prospects
    • Vodovotz Y, Constantine G, Rubin J, et al: Mechanistic simulations of inflammation: Current state and future prospects. Math Biosci 2009; 217:1-10
    • (2009) Math Biosci , vol.217 , pp. 1-10
    • Vodovotz, Y.1    Constantine, G.2    Rubin, J.3
  • 10
    • 74549170381 scopus 로고    scopus 로고
    • Translational systems biology of inflammation and healing
    • Vodovotz Y: Translational systems biology of inflammation and healing. Wound Repair Regen 2010; 18:3-7
    • (2010) Wound Repair Regen , vol.18 , pp. 3-7
    • Vodovotz, Y.1
  • 11
    • 0031942649 scopus 로고    scopus 로고
    • Ventilator-induced lung injury: Lessons from experimental studies
    • Dreyfuss D, Saumon G: Ventilator-induced lung injury: Lessons from experimental studies. Am J Respir Crit Care Med 1998; 157:294-323
    • (1998) Am J Respir Crit Care Med , vol.157 , pp. 294-323
    • Dreyfuss, D.1    Saumon, G.2
  • 12
    • 0031834452 scopus 로고    scopus 로고
    • Multiple system organ failure. Is mechanical ventilation a contributing factor?
    • Slutsky AS, Tremblay LN: Multiple system organ failure. Is mechanical ventilation a contributing factor? Am J Respir Crit Care Med 1998; 157:1721-1725
    • (1998) Am J Respir Crit Care Med , vol.157 , pp. 1721-1725
    • Slutsky, A.S.1    Tremblay, L.N.2
  • 13
    • 84864247996 scopus 로고    scopus 로고
    • Computational and systems biology in trauma and sepsis: Current state and future perspectives
    • An G, Nieman G, Vodovotz Y: Computational and systems biology in trauma and sepsis: Current state and future perspectives. Int J Burns Trauma 2012; 2:1-10
    • (2012) Int J Burns Trauma , vol.2 , pp. 1-10
    • An, G.1    Nieman, G.2    Vodovotz, Y.3
  • 14
    • 0029893535 scopus 로고    scopus 로고
    • Uncoupling of biological oscillators: A complementary hypothesis concerning the pathogenesis of multiple organ dysfunction syndrome
    • Godin PJ, Buchman TG: Uncoupling of biological oscillators: A complementary hypothesis concerning the pathogenesis of multiple organ dysfunction syndrome. Crit Care Med 1996; 24:1107-1116
    • (1996) Crit Care Med , vol.24 , pp. 1107-1116
    • Godin, P.J.1    Buchman, T.G.2
  • 15
    • 0035486687 scopus 로고    scopus 로고
    • Complexity and non-linearity in shock research: Reductionism or synthesis?
    • Neugebauer EA, Willy C, Sauerland S: Complexity and non-linearity in shock research: Reductionism or synthesis? Shock 2001; 16:252-258
    • (2001) Shock , vol.16 , pp. 252-258
    • Neugebauer, E.A.1    Willy, C.2    Sauerland, S.3
  • 16
    • 33750351769 scopus 로고    scopus 로고
    • Data-driven modelling of signal-transduction networks
    • Janes KA, Yaffe MB: Data-driven modelling of signal-transduction networks. Nat Rev Mol Cell Biol 2006; 7:820-828
    • (2006) Nat Rev Mol Cell Biol , vol.7 , pp. 820-828
    • Janes, K.A.1    Yaffe, M.B.2
  • 17
    • 0035501370 scopus 로고    scopus 로고
    • Microarrays: Handling the deluge of data and extracting reliable information
    • Hess KR, Zhang W, Baggerly KA, et al: Microarrays: Handling the deluge of data and extracting reliable information. Trends Biotechnol 2001; 19:463-468
    • (2001) Trends Biotechnol , vol.19 , pp. 463-468
    • Hess, K.R.1    Zhang, W.2    Baggerly, K.A.3
  • 18
    • 58049203835 scopus 로고    scopus 로고
    • Systems biology of innate immunity
    • Zak DE, Aderem A: Systems biology of innate immunity. Immunol Rev 2009; 227:264-282
    • (2009) Immunol Rev , vol.227 , pp. 264-282
    • Zak, D.E.1    Aderem, A.2
  • 19
    • 79955904927 scopus 로고    scopus 로고
    • A dynamic view of trauma/hemorrhage-induced inflammation in mice: Principal drivers and networks
    • Mi Q, Constantine G, Ziraldo C, et al: A dynamic view of trauma/hemorrhage-induced inflammation in mice: Principal drivers and networks. PLoS One 2011; 6:e19424
    • (2011) PLoS One , vol.6
    • Mi, Q.1    Constantine, G.2    Ziraldo, C.3
  • 20
    • 0029962716 scopus 로고    scopus 로고
    • Sepsis/SIRS, physiologic classification, severity stratification, relation to cytokine elaboration and outcome prediction in posttrauma critical illness
    • Rixen D, Siegel JH, Friedman HP: "Sepsis/SIRS," physiologic classification, severity stratification, relation to cytokine elaboration and outcome prediction in posttrauma critical illness. J Trauma 1996; 41:581-598
    • (1996) J Trauma , vol.41 , pp. 581-598
    • Rixen, D.1    Siegel, J.H.2    Friedman, H.P.3
  • 21
    • 36249024081 scopus 로고    scopus 로고
    • Early versus late onset of multiple organ failure is associated with differing patterns of plasma cytokine biomarker expression and outcome after severe trauma
    • Maier B, Lefering R, Lehnert M, et al: Early versus late onset of multiple organ failure is associated with differing patterns of plasma cytokine biomarker expression and outcome after severe trauma. Shock 2007; 28:668-674
    • (2007) Shock , vol.28 , pp. 668-674
    • Maier, B.1    Lefering, R.2    Lehnert, M.3
  • 22
    • 80054798414 scopus 로고    scopus 로고
    • Transcriptomic response of murine liver to severe injury and hemorrhagic shock: A dual-platform microarray analysis
    • Edmonds RD, Vodovotz Y, Lagoa C, et al: Transcriptomic response of murine liver to severe injury and hemorrhagic shock: A dual-platform microarray analysis. Physiol Genomics 2011; 43:1170-1183
    • (2011) Physiol Genomics , vol.43 , pp. 1170-1183
    • Edmonds, R.D.1    Vodovotz, Y.2    Lagoa, C.3
  • 23
    • 27144509163 scopus 로고    scopus 로고
    • A network-based analysis of systemic inflammation in humans
    • Inflamm and Host Response to Injury Large Scale Collab. Res. Program
    • Calvano SE, Xiao W, Richards DR, et al; Inflamm and Host Response to Injury Large Scale Collab. Res. Program: A network-based analysis of systemic inflammation in humans. Nature 2005; 437:1032-1037
    • (2005) Nature , vol.437 , pp. 1032-1037
    • Calvano, S.E.1    Xiao, W.2    Richards, D.R.3
  • 24
    • 84863338100 scopus 로고    scopus 로고
    • A two-compartment mathematical model of endotoxin-induced inflammatory and physiologic alterations in swine
    • Nieman G, Brown D, Sarkar J, et al: A two-compartment mathematical model of endotoxin-induced inflammatory and physiologic alterations in swine. Crit Care Med 2012; 40:1052-1063
    • (2012) Crit Care Med , vol.40 , pp. 1052-1063
    • Nieman, G.1    Brown, D.2    Sarkar, J.3
  • 25
    • 28844441230 scopus 로고    scopus 로고
    • A systems model of signaling identifies a molecular basis set for cytokine-induced apoptosis
    • Janes KA, Albeck JG, Gaudet S, et al: A systems model of signaling identifies a molecular basis set for cytokine-induced apoptosis. Science 2005; 310:1646-1653
    • (2005) Science , vol.310 , pp. 1646-1653
    • Janes, K.A.1    Albeck, J.G.2    Gaudet, S.3
  • 26
    • 41849114552 scopus 로고    scopus 로고
    • Translational systems biology: Introduction of an engineering approach to the pathophysiology of the burn patient
    • An G, Faeder J, Vodovotz Y: Translational systems biology: Introduction of an engineering approach to the pathophysiology of the burn patient. J Burn Care Res 2008; 29:277-285
    • (2008) J Burn Care Res , vol.29 , pp. 277-285
    • An, G.1    Faeder, J.2    Vodovotz, Y.3
  • 27
    • 43249089766 scopus 로고    scopus 로고
    • Translational systems biology of inflammation
    • Vodovotz Y, Csete M, Bartels J, et al: Translational systems biology of inflammation. PLoS Comput Biol 2008; 4:e1000014
    • (2008) PLoS Comput Biol , vol.4
    • Vodovotz, Y.1    Csete, M.2    Bartels, J.3
  • 29
    • 80054099633 scopus 로고    scopus 로고
    • Toward a comprehensive language for biological systems
    • Faeder JR: Toward a comprehensive language for biological systems. BMC Biol 2011; 9:68
    • (2011) BMC Biol , vol.9 , pp. 68
    • Faeder, J.R.1
  • 30
    • 4043154901 scopus 로고    scopus 로고
    • The dynamics of acute inflammation
    • Kumar R, Clermont G, Vodovotz Y, et al: The dynamics of acute inflammation. J Theor Biol 2004; 230:145-155
    • (2004) J Theor Biol , vol.230 , pp. 145-155
    • Kumar, R.1    Clermont, G.2    Vodovotz, Y.3
  • 31
    • 4043056616 scopus 로고    scopus 로고
    • In silico design of clinical trials: A method coming of age
    • Clermont G, Bartels J, Kumar R, et al: In silico design of clinical trials: A method coming of age. Crit Care Med 2004; 32:2061-2070
    • (2004) Crit Care Med , vol.32 , pp. 2061-2070
    • Clermont, G.1    Bartels, J.2    Kumar, R.3
  • 32
    • 21744440089 scopus 로고    scopus 로고
    • The acute inflammatory response in diverse shock states
    • Chow CC, Clermont G, Kumar R, et al: The acute inflammatory response in diverse shock states. Shock 2005; 24:74-84
    • (2005) Shock , vol.24 , pp. 74-84
    • Chow, C.C.1    Clermont, G.2    Kumar, R.3
  • 33
    • 57749186048 scopus 로고    scopus 로고
    • A simple mathematical model of signaling resulting from the binding of lipopolysaccharide with Toll-like receptor 4 demonstrates inherent preconditioning behavior
    • Rivière B, Epshteyn Y, Swigon D, et al: A simple mathematical model of signaling resulting from the binding of lipopolysaccharide with Toll-like receptor 4 demonstrates inherent preconditioning behavior. Math Biosci 2009; 217:19-26
    • (2009) Math Biosci , vol.217 , pp. 19-26
    • Rivière, B.1    Epshteyn, Y.2    Swigon, D.3
  • 34
    • 0023151749 scopus 로고
    • Transient behavior of a chemotaxis system modelling certain types of tissue inflammation
    • Alt W, Lauffenburger DA: Transient behavior of a chemotaxis system modelling certain types of tissue inflammation. J Math Biol 1987; 24:691-722
    • (1987) J Math Biol , vol.24 , pp. 691-722
    • Alt, W.1    Lauffenburger, D.A.2
  • 35
    • 0035491584 scopus 로고    scopus 로고
    • Agent-based computer simulation and SIRS: Building a bridge between basic science and clinical trials
    • An G: Agent-based computer simulation and SIRS: Building a bridge between basic science and clinical trials. Shock 2001; 16:266-273
    • (2001) Shock , vol.16 , pp. 266-273
    • An, G.1
  • 36
    • 4744344132 scopus 로고    scopus 로고
    • In silico experiments of existing and hypothetical cytokinedirected clinical trials using agent-based modeling
    • An G: In silico experiments of existing and hypothetical cytokinedirected clinical trials using agent-based modeling. Crit Care Med 2004; 32:2050-2060
    • (2004) Crit Care Med , vol.32 , pp. 2050-2060
    • An, G.1
  • 37
    • 57849103868 scopus 로고    scopus 로고
    • A model of TLR4 signaling and tolerance using a qualitative, particle-event-based method: Introduction of spatially configured stochastic reaction chambers (SCSRC)
    • An G: A model of TLR4 signaling and tolerance using a qualitative, particle-event-based method: Introduction of spatially configured stochastic reaction chambers (SCSRC). Math Biosci 2009; 217:43-52
    • (2009) Math Biosci , vol.217 , pp. 43-52
    • An, G.1
  • 38
    • 57849158644 scopus 로고    scopus 로고
    • Detailed qualitative dynamic knowledge representation using a BioNetGen model of TLR-4 signaling and preconditioning
    • An GC, Faeder JR: Detailed qualitative dynamic knowledge representation using a BioNetGen model of TLR-4 signaling and preconditioning. Math Biosci 2009; 217:53-63
    • (2009) Math Biosci , vol.217 , pp. 53-63
    • An, G.C.1    Faeder, J.R.2
  • 39
    • 77957900134 scopus 로고    scopus 로고
    • Analysis and verification of the HMGB1 signaling pathway
    • Gong H, Zuliani P, Komuravelli A, et al: Analysis and verification of the HMGB1 signaling pathway. BMC Bioinformatics 2010; 11(Suppl 7):S10
    • (2010) BMC Bioinformatics , vol.11 , Issue.SUPPL. 7
    • Gong, H.1    Zuliani, P.2    Komuravelli, A.3
  • 40
    • 32044469862 scopus 로고    scopus 로고
    • A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity
    • Blinov ML, Faeder JR, Goldstein B, et al: A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity. Biosystems 2006; 83:136-151
    • (2006) Biosystems , vol.83 , pp. 136-151
    • Blinov, M.L.1    Faeder, J.R.2    Goldstein, B.3
  • 41
    • 0034790629 scopus 로고    scopus 로고
    • Molecular signatures of sepsis: Multiorgan gene expression profiles of systemic inflammation
    • Chinnaiyan AM, Huber-Lang M, Kumar-Sinha C, et al: Molecular signatures of sepsis: Multiorgan gene expression profiles of systemic inflammation. Am J Pathol 2001; 159:1199-1209
    • (2001) Am J Pathol , vol.159 , pp. 1199-1209
    • Chinnaiyan, A.M.1    Huber-Lang, M.2    Kumar-Sinha, C.3
  • 43
    • 0036162008 scopus 로고    scopus 로고
    • Functional genomics of critical illness and injury
    • Chung TP, Laramie JM, Province M, et al: Functional genomics of critical illness and injury. Crit Care Med 2002; 30:S51-S57
    • (2002) Crit Care Med , vol.30
    • Chung, T.P.1    Laramie, J.M.2    Province, M.3
  • 44
    • 2942678943 scopus 로고    scopus 로고
    • Injury research in the genomic era
    • Cobb JP, O'Keefe GE: Injury research in the genomic era. Lancet 2004; 363:2076-2083
    • (2004) Lancet , vol.363 , pp. 2076-2083
    • Cobb, J.P.1    O'Keefe, G.E.2
  • 45
    • 2442587841 scopus 로고    scopus 로고
    • Differential gene expression in gram-negative and gram-positive sepsis
    • Yu SL, Chen HW, Yang PC, et al: Differential gene expression in gram-negative and gram-positive sepsis. Am J Respir Crit Care Med 2004; 169:1135-1143
    • (2004) Am J Respir Crit Care Med , vol.169 , pp. 1135-1143
    • Yu, S.L.1    Chen, H.W.2    Yang, P.C.3
  • 46
    • 33846069325 scopus 로고    scopus 로고
    • Microarray-based analysis of ventilator-induced lung injury
    • Wurfel MM: Microarray-based analysis of ventilator-induced lung injury. Proc Am Thorac Soc 2007; 4:77-84
    • (2007) Proc Am Thorac Soc , vol.4 , pp. 77-84
    • Wurfel, M.M.1
  • 47
    • 84856707802 scopus 로고    scopus 로고
    • Clinical review: Sepsis and septic shock-The potential of gene arrays
    • Wong HR: Clinical review: Sepsis and septic shock-The potential of gene arrays. Crit Care 2012; 16:204
    • (2012) Crit Care , vol.16 , pp. 204
    • Wong, H.R.1
  • 48
    • 84862908403 scopus 로고    scopus 로고
    • A genomic storm in critically injured humans
    • Inflammation and Host Response to Injury Large-Scale Collaborative Research Program
    • Xiao W, Mindrinos MN, Seok J, et al; Inflammation and Host Response to Injury Large-Scale Collaborative Research Program: A genomic storm in critically injured humans. J Exp Med 2011; 208:2581-2590
    • (2011) J Exp Med , vol.208 , pp. 2581-2590
    • Xiao, W.1    Mindrinos, M.N.2    Seok, J.3
  • 49
    • 77952163906 scopus 로고    scopus 로고
    • Translational systems approaches to the biology of inflammation and healing
    • Vodovotz Y, Constantine G, Faeder J, et al: Translational systems approaches to the biology of inflammation and healing. Immunopharmacol Immunotoxicol 2010; 32:181-195
    • (2010) Immunopharmacol Immunotoxicol , vol.32 , pp. 181-195
    • Vodovotz, Y.1    Constantine, G.2    Faeder, J.3
  • 50
    • 77957580213 scopus 로고    scopus 로고
    • Translational systems biology of inflammation: Potential applications to personalized medicine
    • Mi Q, Li NY, Ziraldo C, et al: Translational systems biology of inflammation: Potential applications to personalized medicine. Per Med 2010; 7:549-559
    • (2010) Per Med , vol.7 , pp. 549-559
    • Mi, Q.1    Li, N.Y.2    Ziraldo, C.3
  • 51
    • 0034033118 scopus 로고    scopus 로고
    • Scoring systems for assessing organ dysfunction and survival
    • Vincent JL, Ferreira F, Moreno R: Scoring systems for assessing organ dysfunction and survival. Crit Care Clin 2000; 16:353-366
    • (2000) Crit Care Clin , vol.16 , pp. 353-366
    • Vincent, J.L.1    Ferreira, F.2    Moreno, R.3
  • 52
    • 0029334924 scopus 로고
    • Physiologic state severity classification as an indicator of posttrauma cytokine response
    • Rixen D, Siegel JH, Abu-Salih A, et al: Physiologic state severity classification as an indicator of posttrauma cytokine response. Shock 1995; 4:27-38
    • (1995) Shock , vol.4 , pp. 27-38
    • Rixen, D.1    Siegel, J.H.2    Abu-Salih, A.3
  • 53
    • 0030640878 scopus 로고    scopus 로고
    • Plasma nitric oxide in posttrauma critical illness: A function of "sepsis" and the physiologic state severity classification quantifying the probability of death
    • Rixen D, Siegel JH, Espina N, et al: Plasma nitric oxide in posttrauma critical illness: A function of "sepsis" and the physiologic state severity classification quantifying the probability of death. Shock 1997; 7:17-28
    • (1997) Shock , vol.7 , pp. 17-28
    • Rixen, D.1    Siegel, J.H.2    Espina, N.3
  • 54
    • 79951927866 scopus 로고    scopus 로고
    • Focus issue: Conquering the data mountain
    • Gough NR, Yaffe MB: Focus issue: Conquering the data mountain. Sci Signal 2011; 4:eg2
    • (2011) Sci Signal , vol.4
    • Gough, N.R.1    Yaffe, M.B.2
  • 55
    • 0037251105 scopus 로고    scopus 로고
    • Proteomics and systems biology approaches to signal transduction in sepsis
    • Nguyen A, Yaffe MB: Proteomics and systems biology approaches to signal transduction in sepsis. Crit Care Med 2003; 31(1 Suppl):S1-S6
    • (2003) Crit Care Med , vol.31 , Issue.1 SUPPL.
    • Nguyen, A.1    Yaffe, M.B.2
  • 56
    • 45349102367 scopus 로고    scopus 로고
    • Plasticity of the systemic inflammatory response to acute infection during critical illness: Development of the riboleukogram
    • McDunn JE, Husain KD, Polpitiya AD, et al: Plasticity of the systemic inflammatory response to acute infection during critical illness: Development of the riboleukogram. PLoS One 2008; 3:e1564
    • (2008) PLoS One , vol.3
    • McDunn, J.E.1    Husain, K.D.2    Polpitiya, A.D.3
  • 57
    • 70349239233 scopus 로고    scopus 로고
    • Identification of pediatric septic shock subclasses based on genome-wide expression profiling
    • Wong HR, Cvijanovich N, Lin R, et al: Identification of pediatric septic shock subclasses based on genome-wide expression profiling. BMC Med 2009; 7:34
    • (2009) BMC Med , vol.7 , pp. 34
    • Wong, H.R.1    Cvijanovich, N.2    Lin, R.3
  • 58
    • 77953426735 scopus 로고    scopus 로고
    • Analysis of factorial time-course microarrays with application to a clinical study of burn injury
    • Inflammation and Host Response to Injury Program
    • Zhou B, Xu W, Herndon D, et al; Inflammation and Host Response to Injury Program: Analysis of factorial time-course microarrays with application to a clinical study of burn injury. Proc Natl Acad Sci U S A 2010; 107:9923-9928
    • (2010) Proc Natl Acad Sci U S A , vol.107 , pp. 9923-9928
    • Zhou, B.1    Xu, W.2    Herndon, D.3
  • 59
    • 79958809160 scopus 로고    scopus 로고
    • Development and validation of a novel molecular biomarker diagnostic test for the early detection of sepsis
    • Sutherland A, Thomas M, Brandon RA, et al: Development and validation of a novel molecular biomarker diagnostic test for the early detection of sepsis. Crit Care 2011; 15:R149
    • (2011) Crit Care , vol.15
    • Sutherland, A.1    Thomas, M.2    Brandon, R.A.3
  • 60
    • 33750629023 scopus 로고    scopus 로고
    • High dynamic range characterization of the trauma patient plasma proteome
    • Inflammation and the Host Response to Injury Large Scale Collaborative Research Program
    • Liu T, Qian WJ, Gritsenko MA, et al; Inflammation and the Host Response to Injury Large Scale Collaborative Research Program: High dynamic range characterization of the trauma patient plasma proteome. Mol Cell Proteomics 2006; 5:1899-1913
    • (2006) Mol Cell Proteomics , vol.5 , pp. 1899-1913
    • Liu, T.1    Qian, W.J.2    Gritsenko, M.A.3
  • 61
    • 77956330708 scopus 로고    scopus 로고
    • Plasma proteome response to severe burn injury revealed by 18O-labeled "universal" reference-based quantitative proteomics
    • Inflammation and the Host Response to Injury Large Scale Collaborative Research Program
    • Qian WJ, Petritis BO, Kaushal A, et al; Inflammation and the Host Response to Injury Large Scale Collaborative Research Program: Plasma proteome response to severe burn injury revealed by 18O-labeled "universal" reference-based quantitative proteomics. J Proteome Res 2010; 9:4779-4789
    • (2010) J Proteome Res , vol.9 , pp. 4779-4789
    • Qian, W.J.1    Petritis, B.O.2    Kaushal, A.3
  • 62
    • 0036790111 scopus 로고    scopus 로고
    • Heart rate variability in critical care medicine
    • Gang Y, Malik M: Heart rate variability in critical care medicine. Curr Opin Crit Care 2002; 8:371-375
    • (2002) Curr Opin Crit Care , vol.8 , pp. 371-375
    • Gang, Y.1    Malik, M.2
  • 63
    • 11344256331 scopus 로고    scopus 로고
    • Complex systems and the technology of variability analysis
    • Seely AJ, Macklem PT: Complex systems and the technology of variability analysis. Crit Care 2004; 8:R367-R384
    • (2004) Crit Care , vol.8
    • Seely, A.J.1    MacKlem, P.T.2
  • 64
    • 67650609140 scopus 로고    scopus 로고
    • Heart-rate complexity for prediction of prehospital lifesaving interventions in trauma patients
    • Cancio LC, Batchinsky AI, Salinas J, et al: Heart-rate complexity for prediction of prehospital lifesaving interventions in trauma patients. J Trauma 2008; 65:813-819
    • (2008) J Trauma , vol.65 , pp. 813-819
    • Cancio, L.C.1    Batchinsky, A.I.2    Salinas, J.3
  • 65
    • 77956642489 scopus 로고    scopus 로고
    • Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis
    • Cohen MJ, Grossman AD, Morabito D, et al: Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit Care 2010; 14:R10
    • (2010) Crit Care , vol.14
    • Cohen, M.J.1    Grossman, A.D.2    Morabito, D.3
  • 66
    • 79960393129 scopus 로고    scopus 로고
    • Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage
    • Convertino VA, Moulton SL, Grudic GZ, et al: Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage. J Trauma 2011; 71(1 Suppl):S25-S32
    • (2011) J Trauma , vol.71 , Issue.1 SUPPL.
    • Convertino, V.A.1    Moulton, S.L.2    Grudic, G.Z.3
  • 67
    • 0036884232 scopus 로고    scopus 로고
    • Sepsis gene expression profiling: Murine splenic compared with hepatic responses determined by using complementary DNA microarrays
    • Cobb JP, Laramie JM, Stormo GD, et al: Sepsis gene expression profiling: Murine splenic compared with hepatic responses determined by using complementary DNA microarrays. Crit Care Med 2002; 30:2711-2721
    • (2002) Crit Care Med , vol.30 , pp. 2711-2721
    • Cobb, J.P.1    Laramie, J.M.2    Stormo, G.D.3
  • 68
    • 0442292208 scopus 로고    scopus 로고
    • Gene expression profiles of livers from thermally injured rats
    • Dasu MR, Cobb JP, Laramie JM, et al: Gene expression profiles of livers from thermally injured rats. Gene 2004; 327:51-60
    • (2004) Gene , vol.327 , pp. 51-60
    • Dasu, M.R.1    Cobb, J.P.2    Laramie, J.M.3
  • 69
    • 84868357677 scopus 로고    scopus 로고
    • Toward computational identification of multiscale "tipping points" in acute inflammation and multiple organ failure
    • An G, Nieman G, Vodovotz Y: Toward computational identification of multiscale "tipping points" in acute inflammation and multiple organ failure. Ann Biomed Eng 2012; 40:2414-2424
    • (2012) Ann Biomed Eng , vol.40 , pp. 2414-2424
    • An, G.1    Nieman, G.2    Vodovotz, Y.3
  • 70
    • 33645957683 scopus 로고    scopus 로고
    • Concepts for developing a collaborative in silico model of the acute inflammatory response using agent-based modeling
    • discussion 110-111
    • An G: Concepts for developing a collaborative in silico model of the acute inflammatory response using agent-based modeling. J Crit Care 2006; 21:105-110; discussion 110-111
    • (2006) J Crit Care , vol.21 , pp. 105-110
    • An, G.1
  • 71
    • 84866733126 scopus 로고    scopus 로고
    • From artificial life to in silico medicine: Net Logo as a means of translational knowledge representation in biomedical research
    • Adamatsky A, Komosinski M (Eds). London, Springer-Verlag
    • An G, Wilensky U: From artificial life to in silico medicine: Net Logo as a means of translational knowledge representation in biomedical research. In: Artificial Life in Software. Adamatsky A, Komosinski M (Eds). London, Springer-Verlag, 2009, pp 183-209
    • (2009) Artificial Life in Software , pp. 183-209
    • An, G.1    Wilensky, U.2
  • 72
    • 65649091733 scopus 로고    scopus 로고
    • Dynamic knowledge representation using agent-based modeling: Ontology instantiation and verification of conceptual models
    • An G: Dynamic knowledge representation using agent-based modeling: Ontology instantiation and verification of conceptual models. Methods Mol Biol 2009; 500:445-468
    • (2009) Methods Mol Biol , vol.500 , pp. 445-468
    • An, G.1
  • 73
    • 74549209507 scopus 로고    scopus 로고
    • Translational systems biology using an agent-based approach for dynamic knowledge representation: An evolutionary paradigm for biomedical research
    • An GC: Translational systems biology using an agent-based approach for dynamic knowledge representation: An evolutionary paradigm for biomedical research. Wound Repair Regen 2010; 18:8-12
    • (2010) Wound Repair Regen , vol.18 , pp. 8-12
    • An, G.C.1
  • 74
    • 77955634106 scopus 로고    scopus 로고
    • Closing the scientific loop: Bridging correlation and causality in the petaflop age
    • An G: Closing the scientific loop: Bridging correlation and causality in the petaflop age. Sci Transl Med 2010; 2:41ps34
    • (2010) Sci Transl Med , vol.2
    • An, G.1
  • 75
    • 61449164943 scopus 로고    scopus 로고
    • Agent-based model of therapeutic adipose-derived stromal cell trafficking during ischemia predicts ability to roll on P-selectin
    • Bailey AM, Lawrence MB, Shang H, et al: Agent-based model of therapeutic adipose-derived stromal cell trafficking during ischemia predicts ability to roll on P-selectin. PLoS Comput Biol 2009; 5:e1000294
    • (2009) PLoS Comput Biol , vol.5
    • Bailey, A.M.1    Lawrence, M.B.2    Shang, H.3
  • 76
    • 0036500993 scopus 로고    scopus 로고
    • Systems biology: A brief overview
    • Kitano H: Systems biology: A brief overview. Science 2002; 295:1662-1664
    • (2002) Science , vol.295 , pp. 1662-1664
    • Kitano, H.1
  • 77
    • 38049150027 scopus 로고    scopus 로고
    • Complexity, emergence and pathophysiology: Using agent based computer simulation to characterize the non-adaptive inflammatory response
    • Manuscript 344. Accessed December 1, 2000
    • An G, Lee I: Complexity, emergence and pathophysiology: Using agent based computer simulation to characterize the non-adaptive inflammatory response. InterJournal Complex Syst 2000; Manuscript 344. Available at: http://www.interjournal.org Accessed December 1, 2000
    • (2000) InterJournal Complex Syst
    • An, G.1    Lee, I.2
  • 78
    • 33747341838 scopus 로고    scopus 로고
    • In silico models of acute inflammation in animals
    • Vodovotz Y, Chow CC, Bartels J, et al: In silico models of acute inflammation in animals. Shock 2006; 26:235-244
    • (2006) Shock , vol.26 , pp. 235-244
    • Vodovotz, Y.1    Chow, C.C.2    Bartels, J.3
  • 79
    • 33747106908 scopus 로고    scopus 로고
    • A reduced mathematical model of the acute inflammatory response: I. Derivation of model and analysis of anti-inflammation
    • Reynolds A, Rubin J, Clermont G, et al: A reduced mathematical model of the acute inflammatory response: I. Derivation of model and analysis of anti-inflammation. J Theor Biol 2006; 242:220-236
    • (2006) J Theor Biol , vol.242 , pp. 220-236
    • Reynolds, A.1    Rubin, J.2    Clermont, G.3
  • 80
    • 33747094446 scopus 로고    scopus 로고
    • A reduced mathematical model of the acute inflammatory response II. Capturing scenarios of repeated endotoxin administration
    • Day J, Rubin J, Vodovotz Y, et al: A reduced mathematical model of the acute inflammatory response II. Capturing scenarios of repeated endotoxin administration. J Theor Biol 2006; 242:237-256
    • (2006) J Theor Biol , vol.242 , pp. 237-256
    • Day, J.1    Rubin, J.2    Vodovotz, Y.3
  • 81
    • 33749022785 scopus 로고    scopus 로고
    • In silico and in vivo approach to elucidate the inflammatory complexity of CD14-deficient mice
    • Prince JM, Levy RM, Bartels J, et al: In silico and in vivo approach to elucidate the inflammatory complexity of CD14-deficient mice. Mol Med 2006; 12:88-96
    • (2006) Mol Med , vol.12 , pp. 88-96
    • Prince, J.M.1    Levy, R.M.2    Bartels, J.3
  • 82
    • 33751222859 scopus 로고    scopus 로고
    • The role of initial trauma in the host's response to injury and hemorrhage: Insights from a correlation of mathematical simulations and hepatic transcriptomic analysis
    • Lagoa CE, Bartels J, Baratt A, et al: The role of initial trauma in the host's response to injury and hemorrhage: Insights from a correlation of mathematical simulations and hepatic transcriptomic analysis. Shock 2006; 26:592-600
    • (2006) Shock , vol.26 , pp. 592-600
    • Lagoa, C.E.1    Bartels, J.2    Baratt, A.3
  • 83
    • 27644466709 scopus 로고    scopus 로고
    • Dynamics of intrapulmonary bacterial growth in a murine model of repeated microaspiration
    • Ben-David I, Price SE, Bortz DM, et al: Dynamics of intrapulmonary bacterial growth in a murine model of repeated microaspiration. Am J Respir Cell Mol Biol 2005; 33:476-482
    • (2005) Am J Respir Cell Mol Biol , vol.33 , pp. 476-482
    • Ben-David, I.1    Price, S.E.2    Bortz, D.M.3
  • 84
    • 20144385752 scopus 로고    scopus 로고
    • Rule-based modeling of biochemical networks
    • Faeder JR, Blinov ML, Goldstein B, et al: Rule-based modeling of biochemical networks. Complexity 2005; 10:22-41
    • (2005) Complexity , vol.10 , pp. 22-41
    • Faeder, J.R.1    Blinov, M.L.2    Goldstein, B.3
  • 85
    • 49049088099 scopus 로고    scopus 로고
    • Stochastic effects and bistability in T cell receptor signaling
    • Lipniacki T, Hat B, Faeder JR, et al: Stochastic effects and bistability in T cell receptor signaling. J Theor Biol 2008; 254:110-122
    • (2008) J Theor Biol , vol.254 , pp. 110-122
    • Lipniacki, T.1    Hat, B.2    Faeder, J.R.3
  • 86
    • 82955222826 scopus 로고    scopus 로고
    • The interplay of double phosphorylation and scaffolding in MAPK pathways
    • Kocieniewski P, Faeder JR, Lipniacki T: The interplay of double phosphorylation and scaffolding in MAPK pathways. J Theor Biol 2012; 295:116-124
    • (2012) J Theor Biol , vol.295 , pp. 116-124
    • Kocieniewski, P.1    Faeder, J.R.2    Lipniacki, T.3
  • 87
    • 4744342992 scopus 로고    scopus 로고
    • Mathematical models of the acute inflammatory response
    • Vodovotz Y, Clermont G, Chow C, et al: Mathematical models of the acute inflammatory response. Curr Opin Crit Care 2004; 10:383-390
    • (2004) Curr Opin Crit Care , vol.10 , pp. 383-390
    • Vodovotz, Y.1    Clermont, G.2    Chow, C.3
  • 88
    • 34249826054 scopus 로고    scopus 로고
    • Challenges and rewards on the road to translational systems biology in acute illness: Four case reports from interdisciplinary teams
    • An G, Hunt CA, Clermont G, et al: Challenges and rewards on the road to translational systems biology in acute illness: Four case reports from interdisciplinary teams. J Crit Care 2007; 22:169-175
    • (2007) J Crit Care , vol.22 , pp. 169-175
    • An, G.1    Hunt, C.A.2    Clermont, G.3
  • 89
    • 79953894415 scopus 로고    scopus 로고
    • In silico augmentation of the drug development pipeline: Examples from the study of acute inflammation
    • An G, Bartels J, Vodovotz Y: In silico augmentation of the drug development pipeline: Examples from the study of acute inflammation. Drug Dev Res 2010; 72:187-200
    • (2010) Drug Dev Res , vol.72 , pp. 187-200
    • An, G.1    Bartels, J.2    Vodovotz, Y.3
  • 90
    • 84861199459 scopus 로고    scopus 로고
    • Sepsis: Something old, something new, and a systems view
    • Namas R, Zamora R, Namas R, et al: Sepsis: Something old, something new, and a systems view. J Crit Care 2012; 27:314.e1-314.e11
    • (2012) J Crit Care , vol.27
    • Namas, R.1    Zamora, R.2    Namas, R.3
  • 91
    • 57849104348 scopus 로고    scopus 로고
    • Modeling endotoxininduced systemic inflammation using an indirect response approach
    • Foteinou PT, Calvano SE, Lowry SF, et al: Modeling endotoxininduced systemic inflammation using an indirect response approach. Math Biosci 2009; 217:27-42
    • (2009) Math Biosci , vol.217 , pp. 27-42
    • Foteinou, P.T.1    Calvano, S.E.2    Lowry, S.F.3
  • 92
    • 62849112761 scopus 로고    scopus 로고
    • In silico simulation of corticosteroids effect on an NFkB-dependent physicochemical model of systemic inflammation
    • Foteinou PT, Calvano SE, Lowry SF, et al: In silico simulation of corticosteroids effect on an NFkB-dependent physicochemical model of systemic inflammation. PLoS One 2009; 4:e4706
    • (2009) PLoS One , vol.4
    • Foteinou, P.T.1    Calvano, S.E.2    Lowry, S.F.3
  • 93
    • 77949496645 scopus 로고    scopus 로고
    • Agent-based modeling of endotoxin-induced acute inflammatory response in human blood leukocytes
    • Dong X, Foteinou PT, Calvano SE, et al: Agent-based modeling of endotoxin-induced acute inflammatory response in human blood leukocytes. PLoS One 2010; 5:e9249
    • (2010) PLoS One , vol.5
    • Dong, X.1    Foteinou, P.T.2    Calvano, S.E.3
  • 94
    • 77952597821 scopus 로고    scopus 로고
    • Modeling the influence of circadian rhythms on the acute inflammatory response
    • Scheff JD, Calvano SE, Lowry SF, et al: Modeling the influence of circadian rhythms on the acute inflammatory response. J Theor Biol 2010; 264:1068-1076
    • (2010) J Theor Biol , vol.264 , pp. 1068-1076
    • Scheff, J.D.1    Calvano, S.E.2    Lowry, S.F.3
  • 95
    • 79952163506 scopus 로고    scopus 로고
    • A physiological model for autonomic heart rate regulation in human endotoxemia
    • Foteinou PT, Calvano SE, Lowry SF, et al: A physiological model for autonomic heart rate regulation in human endotoxemia. Shock 2011; 35:229-239
    • (2011) Shock , vol.35 , pp. 229-239
    • Foteinou, P.T.1    Calvano, S.E.2    Lowry, S.F.3
  • 96
    • 80052072238 scopus 로고    scopus 로고
    • Modeling autonomic regulation of cardiac function and heart rate variability in human endotoxemia
    • Scheff JD, Mavroudis PD, Calvano SE, et al: Modeling autonomic regulation of cardiac function and heart rate variability in human endotoxemia. Physiol Genomics 2011; 43:951-964
    • (2011) Physiol Genomics , vol.43 , pp. 951-964
    • Scheff, J.D.1    Mavroudis, P.D.2    Calvano, S.E.3
  • 97
    • 84866465712 scopus 로고    scopus 로고
    • Linking inflammation, cardiorespiratory variability, and neural control in acute inflammation via computational modeling
    • Dick TE, Molkov YI, Nieman G, et al: Linking inflammation, cardiorespiratory variability, and neural control in acute inflammation via computational modeling. Front Physiol 2012; 3:222
    • (2012) Front Physiol , vol.3 , pp. 222
    • Dick, T.E.1    Molkov, Y.I.2    Nieman, G.3
  • 98
    • 48149096398 scopus 로고    scopus 로고
    • HMGB1: Endogenous danger signaling
    • Klune JR, Dhupar R, Cardinal J, et al: HMGB1: Endogenous danger signaling. Mol Med 2008; 14:476-484
    • (2008) Mol Med , vol.14 , pp. 476-484
    • Klune, J.R.1    Dhupar, R.2    Cardinal, J.3
  • 99
    • 43349094278 scopus 로고    scopus 로고
    • Early events in the recognition of danger signals after tissue injury
    • Kaczorowski DJ, Mollen KP, Edmonds R, et al: Early events in the recognition of danger signals after tissue injury. J Leukoc Biol 2008; 83:546-552
    • (2008) J Leukoc Biol , vol.83 , pp. 546-552
    • Kaczorowski, D.J.1    Mollen, K.P.2    Edmonds, R.3
  • 100
    • 0036159842 scopus 로고    scopus 로고
    • Endotoxin tolerance: A review
    • West MA, Heagy W: Endotoxin tolerance: A review. Crit Care Med 2002; 30(1 Suppl):S64-S73
    • (2002) Crit Care Med , vol.30 , Issue.1 SUPPL.
    • West, M.A.1    Heagy, W.2
  • 101
    • 0037951567 scopus 로고    scopus 로고
    • Endotoxin tolerance: Is there a clinical relevance?
    • Cavaillon JM, Adrie C, Fitting C, et al: Endotoxin tolerance: Is there a clinical relevance? J Endotoxin Res 2003; 9:101-107
    • (2003) J Endotoxin Res , vol.9 , pp. 101-107
    • Cavaillon, J.M.1    Adrie, C.2    Fitting, C.3
  • 102
    • 79960132229 scopus 로고    scopus 로고
    • A dual negative regulation model of Toll-like receptor 4 signaling for endotoxin preconditioning in human endotoxemia
    • Yang Q, Calvano SE, Lowry SF, et al: A dual negative regulation model of Toll-like receptor 4 signaling for endotoxin preconditioning in human endotoxemia. Math Biosci 2011; 232:151-163
    • (2011) Math Biosci , vol.232 , pp. 151-163
    • Yang, Q.1    Calvano, S.E.2    Lowry, S.F.3
  • 103
    • 84863654528 scopus 로고    scopus 로고
    • Network topologies and dynamics leading to endotoxin tolerance and priming in innate immune cells
    • Fu Y, Glaros T, Zhu M, et al: Network topologies and dynamics leading to endotoxin tolerance and priming in innate immune cells. PLoS Comput Biol 2012; 8:e1002526
    • (2012) PLoS Comput Biol , vol.8
    • Fu, Y.1    Glaros, T.2    Zhu, M.3
  • 104
    • 50949091234 scopus 로고    scopus 로고
    • A patient-specific in silico model of inflammation and healing tested in acute vocal fold injury
    • Li NY, Verdolini K, Clermont G, et al: A patient-specific in silico model of inflammation and healing tested in acute vocal fold injury. PLoS One 2008; 3:e2789
    • (2008) PLoS One , vol.3
    • Li, N.Y.1    Verdolini, K.2    Clermont, G.3
  • 105
    • 84878487132 scopus 로고    scopus 로고
    • Hybrid equation/agent-based model of ischemia-induced hyperemia and pressure ulcer formation predicts greater propensity to ulcerate in subjects with spinal cord injury
    • Solovyev A, Mi Q, Tzen Y-T, et al: Hybrid equation/agent-based model of ischemia-induced hyperemia and pressure ulcer formation predicts greater propensity to ulcerate in subjects with spinal cord injury. PLoS Comput Biol 2013; 9:e1003070
    • (2013) PLoS Comput Biol , vol.9
    • Solovyev, A.1    Mi, Q.2    Tzen, Y.-T.3
  • 106
    • 0031436960 scopus 로고    scopus 로고
    • Infections in patients with spinal cord injuries
    • Montgomerie JZ: Infections in patients with spinal cord injuries. Clin Infect Dis 1997; 25:1285-1290
    • (1997) Clin Infect Dis , vol.25 , pp. 1285-1290
    • Montgomerie, J.Z.1
  • 107
    • 84861154162 scopus 로고    scopus 로고
    • Ensemble models of neutrophil trafficking in severe sepsis
    • Song SO, Hogg J, Peng ZY, et al: Ensemble models of neutrophil trafficking in severe sepsis. PLoS Comput Biol 2012; 8:e1002422
    • (2012) PLoS Comput Biol , vol.8
    • Song, S.O.1    Hogg, J.2    Peng, Z.Y.3
  • 108
    • 84870827578 scopus 로고    scopus 로고
    • Hemoadsorption reprograms inflammation in experimental gram-negative septic peritonitis: Insights from in vivo and in silico studies
    • Namas RA, Namas R, Lagoa C, et al: Hemoadsorption reprograms inflammation in experimental gram-negative septic peritonitis: Insights from in vivo and in silico studies. Mol Med 2012; 18:1366-1374
    • (2012) Mol Med , vol.18 , pp. 1366-1374
    • Namas, R.A.1    Namas, R.2    Lagoa, C.3
  • 109
    • 0036500834 scopus 로고    scopus 로고
    • Reverse engineering of biological complexity
    • Csete ME, Doyle JC: Reverse engineering of biological complexity. Science 2002; 295:1664-1669
    • (2002) Science , vol.295 , pp. 1664-1669
    • Csete, M.E.1    Doyle, J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.