Patterns of gene expression among murine models of hemorrhagic shock/trauma and sepsis.

Controversy remains whether the leukocyte genomic response to trauma or sepsis is dependent upon the initiating stimulus. Previous work illustrated poor correlations between historical models of murine trauma and sepsis (i.e., trauma-hemorrhage and lipopolysaccharide injection, respectively). The aim of this study is to examine the early genomic response in improved murine models of sepsis [cecal ligation and puncture (CLP)] and trauma [polytrauma (PT)] with and without pneumonia (PT+Pp). Groups of naïve, CLP, PT, and PT+Pp mice were killed at 2 h, 1 or 3 days. Total leukocytes were isolated for genome-wide expression analysis, and genes that were found to differ from control (false discovery rate adjusted P < 0.001) were assessed for fold-change differences. Spearman correlations were also performed. For all time points combined (CLP, PT, PT+Pp), there were 10,426 total genes that were found to significantly differ from naïve controls. At 2 h, the transcriptomic changes between CLP and PT showed a positive correlation (rs) of 0.446 (P < 0.0001) but were less positive thereafter. Correlations were significantly improved when we limited the analysis to common genes whose expression differed by a 1.5 fold-change. Both pathway and upstream analyses revealed the activation of genes known to be associated with pathogen-associated and damage-associated molecular pattern signaling, and early activation patterns of expression were very similar between polytrauma and sepsis at the earliest time points. This study demonstrates that the early leukocyte genomic response to sepsis and trauma are very similar in mice.

[1]  L. Moldawer,et al.  The future of murine sepsis and trauma research models , 2015, Journal of leukocyte biology.

[2]  Huili Hu,et al.  The CUL4B/AKT/β-Catenin Axis Restricts the Accumulation of Myeloid-Derived Suppressor Cells to Prohibit the Establishment of a Tumor-Permissive Microenvironment. , 2015, Cancer research.

[3]  H. Baker,et al.  A Detailed Characterization of the Dysfunctional Immunity and Abnormal Myelopoiesis Induced by Severe Shock and Trauma in the Aged , 2015, The Journal of Immunology.

[4]  H. Baker,et al.  Advanced age is associated with worsened outcomes and a unique genomic response in severely injured patients with hemorrhagic shock , 2015, Critical Care.

[5]  Fei Wang,et al.  CUL4B promotes proliferation and inhibits apoptosis of human osteosarcoma cells. , 2014, Oncology reports.

[6]  Keizo Takao,et al.  Genomic responses in mouse models greatly mimic human inflammatory diseases , 2014, Proceedings of the National Academy of Sciences.

[7]  H. Stelfox,et al.  Hospital Length of Stay After Admission for Traumatic Injury in Canada: A Multicenter Cohort Study , 2014, Annals of surgery.

[8]  L. Moldawer,et al.  A Better Understanding of Why Murine Models of Trauma Do Not Recapitulate the Human Syndrome* , 2014, Critical care medicine.

[9]  H. Baker,et al.  Host Responses to Sepsis Vary in Different Low-Lethality Murine Models , 2014, PloS one.

[10]  P. Reilly,et al.  Defining the optimal time to the operating room may salvage early trauma deaths , 2014, The journal of trauma and acute care surgery.

[11]  R. Zafonte,et al.  The economic cost of firearm-related injuries in the United States from 2006 to 2010. , 2014, Surgery.

[12]  R. Bellomo,et al.  Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. , 2014, JAMA.

[13]  H. Baker,et al.  Protective Immunity and Defects in the Neonatal and Elderly Immune Response to Sepsis , 2014, The Journal of Immunology.

[14]  H. Baker,et al.  Aged Mice Are Unable To Mount an Effective Myeloid Response to Sepsis , 2014, The Journal of Immunology.

[15]  D. Angus,et al.  Epidemiology of severe sepsis , 2013, Virulence.

[16]  P. Barbry,et al.  Tumor suppressor function of miR-483-3p on squamous cell carcinomas due to its pro-apoptotic properties , 2013, Cell cycle.

[17]  E. Caron,et al.  Regulator of G-Protein Signalling-14 (RGS14) Regulates the Activation of αMβ2 Integrin during Phagocytosis , 2013, PloS one.

[18]  Ronald J. Moore,et al.  Determination of Burn Patient Outcome by Large-Scale Quantitative Discovery Proteomics , 2013, Critical care medicine.

[19]  H. Baker,et al.  Identification and Description of a Novel Murine Model for Polytrauma and Shock , 2013, Critical care medicine.

[20]  Or Zuk,et al.  Identification of transcriptional regulators in the mouse immune system , 2013, Nature Immunology.

[21]  T. Miyakawa,et al.  Genomic responses in mouse models poorly mimic human inflammatory diseases , 2013 .

[22]  R. Gamelli,et al.  Genomic responses in mouse models poorly mimic human inflammatory diseases , 2013, Proceedings of the National Academy of Sciences.

[23]  L. Moldawer,et al.  Persistent inflammation and immunosuppression: A common syndrome and new horizon for surgical intensive care , 2012, The journal of trauma and acute care surgery.

[24]  D. Jaroszewski,et al.  The role of toll-like receptor-4 in the development of multi-organ failure following traumatic haemorrhagic shock and resuscitation. , 2012, Injury.

[25]  John D. Storey,et al.  A genomic storm in critically injured humans , 2011, The Journal of experimental medicine.

[26]  Yuan Zhang,et al.  miR‐223 suppresses differentiation of tumor‐induced CD11b+Gr1+myeloid‐derived suppressor cells from bone marrow cells , 2011, International journal of cancer.

[27]  Ryan M. O’Connell,et al.  MicroRNA function in myeloid biology. , 2011, Blood.

[28]  M. Vaughan-Sarrazin,et al.  Costs of postoperative sepsis: the business case for quality improvement to reduce postoperative sepsis in veterans affairs hospitals. , 2011, Archives of surgery.

[29]  A. Schlitzer,et al.  Antigen Delivery to Plasmacytoid Dendritic Cells via BST2 Induces Protective T Cell-Mediated Immunity , 2011, The Journal of Immunology.

[30]  Lyle L. Moldawer,et al.  A Paradoxical Role for Myeloid-Derived Suppressor Cells in Sepsis and Trauma , 2011, Molecular medicine.

[31]  A. Alparone,et al.  Electronic properties of neuroleptics: ionization energies of benzodiazepines , 2011, Journal of molecular modeling.

[32]  L. Moldawer,et al.  Sepsis Induces Early Alterations in Innate Immunity That Impact Mortality to Secondary Infection , 2011, The Journal of Immunology.

[33]  L. Moldawer,et al.  Cecal Ligation and Puncture , 2010, Current protocols in immunology.

[34]  C. Haasper,et al.  TLR4 influences the humoral and cellular immune response during polymicrobial sepsis. , 2010, Injury.

[35]  Ronald G. Tompkins,et al.  A Genomic Score Prognostic of Outcome in Trauma Patients , 2009, Molecular medicine.

[36]  Srinivas Nagaraj,et al.  Myeloid-derived suppressor cells as regulators of the immune system , 2009, Nature Reviews Immunology.

[37]  D. Bartel MicroRNAs: Target Recognition and Regulatory Functions , 2009, Cell.

[38]  M. Singer,et al.  Animal models of sepsis: Why does preclinical efficacy fail to translate to the clinical setting? , 2009, Critical care medicine.

[39]  O. Kirak,et al.  Regulation of progenitor cell proliferation and granulocyte function by microRNA-223 , 2008, Nature.

[40]  Carlo M. Croce,et al.  MicroRNAs 17-5p–20a–106a control monocytopoiesis through AML1 targeting and M-CSF receptor upregulation , 2007, Nature Cell Biology.

[41]  Kirby I Bland,et al.  CECAL LIGATION AND PUNCTURE , 2005, Shock.

[42]  Mehmet Toner,et al.  Application of genome-wide expression analysis to human health and disease. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[43]  A. Matsukawa,et al.  INNATE IMMUNE RESPONSE IN TH1- AND TH2-DOMINANT MOUSE STRAINS , 2004, Shock.

[44]  C. Paidas,et al.  GENETIC CONTRIBUTION TO THE SEPTIC RESPONSE IN A MOUSE MODEL , 2002, Shock.

[45]  P. Matzinger The Danger Model: A Renewed Sense of Self , 2002, Science.

[46]  M. Mansour The roles of peroxisome proliferator-activated receptors in the metabolic syndrome. , 2014, Progress in molecular biology and translational science.

[47]  S. Zanotti-Cavazzoni,et al.  Costs of Postoperative Sepsis: The Business Case for Quality Improvement to Reduce Postoperative Sepsis in Veterans Affairs Hospitals , 2012 .

[48]  Chris Cheadle,et al.  Application of z-score transformation to Affymetrix data. , 2003, Applied bioinformatics.

[49]  C. Janeway Approaching the asymptote? Evolution and revolution in immunology. , 1989, Cold Spring Harbor symposia on quantitative biology.