Literature DB >> 24413577

A better understanding of why murine models of trauma do not recapitulate the human syndrome.

Lori F Gentile1, Dina C Nacionales, M Cecilia Lopez, Erin Vanzant, Angela Cuenca, Alex G Cuenca, Ricardo Ungaro, Tezcan Ozrazgat Baslanti, Bruce A McKinley, Azra Bihorac, Joseph Cuschieri, Ronald V Maier, Frederick A Moore, Christiaan Leeuwenburgh, Henry V Baker, Lyle L Moldawer, Philip A Efron.   

Abstract

OBJECTIVE: Genomic analyses from blood leukocytes have concluded that mouse injury poorly reflects human trauma at the leukocyte transcriptome. Concerns have focused on the modest severity of murine injury models, differences in murine compared with human age, dissimilar circulating leukocyte populations between species, and whether similar signaling pathways are involved. We sought to examine whether the transcriptomic response to severe trauma in mice could be explained by these extrinsic factors, by utilizing an increasing severity of murine trauma and shock in young and aged mice over time, and by examining the response in isolated neutrophil populations.
DESIGN: Preclinical controlled in vivo laboratory study and retrospective cohort study.
SETTING: Laboratory of Inflammation Biology and Surgical Science and multi-institution level 1 trauma centers.
SUBJECTS: Six- to 10-week-old and 20- to 24-month-old C57BL/6 (B6) mice and two cohorts of 167 and 244 severely traumatized (Injury Severity Score > 15) adult (> 18 yr) patients.
INTERVENTIONS: Mice underwent one of two severity polytrauma models of injury. Total blood leukocyte and neutrophil samples were collected.
MEASUREMENTS AND MAIN RESULTS: Fold expression changes in leukocyte and neutrophil genome-wide expression analyses between healthy and injured mice (p < 0.001) were compared with human total and enriched blood leukocyte expression analyses of severe trauma patients at 0.5, 1, 4, 7, 14, and 28 days after injury (Glue Grant trauma-related database). We found that increasing the severity of the murine trauma model only modestly improved the correlation in the transcriptomic response with humans, whereas the age of the mice did not. In addition, the genome-wide response to blood neutrophils (rather than total WBC) was also not well correlated between humans and mice. However, the expression of many individual gene families was much more strongly correlated after injury in mice and humans.
CONCLUSIONS: Although overall transcriptomic association remained weak even after adjusting for the severity of injury, age of the animals, timing, and individual leukocyte populations, there were individual signaling pathways and ontogenies that were strongly correlated between mice and humans. These genes are involved in early inflammation and innate/adaptive immunity.

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Year:  2014        PMID: 24413577      PMCID: PMC4283139          DOI: 10.1097/CCM.0000000000000222

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  19 in total

1.  Effects of age on mortality and antibiotic efficacy in cecal ligation and puncture.

Authors:  Isaiah R Turnbull; Joseph J Wlzorek; Dale Osborne; Richard S Hotchkiss; Craig M Coopersmith; Timothy G Buchman
Journal:  Shock       Date:  2003-04       Impact factor: 3.454

2.  Systemic inflammation and liver injury following hemorrhagic shock and peripheral tissue trauma involve functional TLR9 signaling on bone marrow-derived cells and parenchymal cells.

Authors:  Roop Gill; Xiangcai Ruan; Christoph L Menzel; Seung Namkoong; Patricia Loughran; David J Hackam; Timothy R Billiar
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3.  Human transcriptome array for high-throughput clinical studies.

Authors:  Weihong Xu; Junhee Seok; Michael N Mindrinos; Anthony C Schweitzer; Hui Jiang; Julie Wilhelmy; Tyson A Clark; Karen Kapur; Yi Xing; Malek Faham; John D Storey; Lyle L Moldawer; Ronald V Maier; Ronald G Tompkins; Wing Hung Wong; Ronald W Davis; Wenzhong Xiao
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-11       Impact factor: 11.205

4.  Cell-specific expression and pathway analyses reveal alterations in trauma-related human T cell and monocyte pathways.

Authors:  Krzysztof Laudanski; Carol Miller-Graziano; Wenzhong Xiao; Michael N Mindrinos; Daniel R Richards; Asit De; Lyle L Moldawer; Ronald V Maier; Paul Bankey; Henry V Baker; Bernard H Brownstein; J Perren Cobb; Steve E Calvano; Ronald W Davis; Ronald G Tompkins
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-10       Impact factor: 11.205

Review 5.  Of mice and not men: differences between mouse and human immunology.

Authors:  Javier Mestas; Christopher C W Hughes
Journal:  J Immunol       Date:  2004-03-01       Impact factor: 5.422

6.  Trauma-hemorrhage and resuscitation in the mouse: effects on cardiac output and organ blood flow.

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Review 7.  Animal models of sepsis: why does preclinical efficacy fail to translate to the clinical setting?

Authors:  Alex Dyson; Mervyn Singer
Journal:  Crit Care Med       Date:  2009-01       Impact factor: 7.598

Review 8.  Homeostatic regulation of blood neutrophil counts.

Authors:  Sibylle von Vietinghoff; Klaus Ley
Journal:  J Immunol       Date:  2008-10-15       Impact factor: 5.422

9.  30 years of polytrauma care: An analysis of the change in strategies and results of 4849 cases treated at a single institution.

Authors:  Christian Probst; Hans-Christoph Pape; Frank Hildebrand; Gerd Regel; Lutz Mahlke; Peter Giannoudis; Christian Krettek; Martin Rolf Wolfgang Grotz
Journal:  Injury       Date:  2008-12-30       Impact factor: 2.586

10.  Clinical microfluidics for neutrophil genomics and proteomics.

Authors:  Kenneth T Kotz; Wenzong Xiao; Carol Miller-Graziano; Wei-Jun Qian; Aman Russom; Elizabeth A Warner; Lyle L Moldawer; Asit De; Paul E Bankey; Brianne O Petritis; David G Camp; Alan E Rosenbach; Jeremy Goverman; Shawn P Fagan; Bernard H Brownstein; Daniel Irimia; Weihong Xu; Julie Wilhelmy; Michael N Mindrinos; Richard D Smith; Ronald W Davis; Ronald G Tompkins; Mehmet Toner
Journal:  Nat Med       Date:  2010-08-29       Impact factor: 53.440

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  25 in total

1.  The uncovering of ESE-1 in human neutrophils: implication of its role in neutrophil function and survival.

Authors:  C M Lee; S Gupta; J Parodo; J Wu; J C Marshall; J Hu
Journal:  Genes Immun       Date:  2015-04-23       Impact factor: 2.676

2.  The role of NIGMS P50 sponsored team science in our understanding of multiple organ failure.

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3.  Impact of haemorrhagic shock intensity on the dynamic of alarmins release in porcine poly-trauma animal model.

Authors:  K Horst; F Hildebrand; R Pfeifer; S Hübenthal; K Almahmoud; M Sassen; T Steinfeldt; H Wulf; S Ruchholtz; H C Pape; D Eschbach
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Review 4.  The future of murine sepsis and trauma research models.

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Review 5.  Murine Models of Sepsis and Trauma: Can We Bridge the Gap?

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6.  Genomics of injury: The Glue Grant experience.

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Review 7.  Sepsis-induced immune dysfunction: can immune therapies reduce mortality?

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8.  Sex-based differences in the genomic response, innate immunity, organ dysfunction, and clinical outcomes after severe blunt traumatic injury and hemorrhagic shock.

Authors:  Maria-Cecilia Lopez; Philip A Efron; Tezcan Ozrazgat-Baslanti; Jianyi Zhang; Joseph Cuschieri; Ronald V Maier; Joseph P Minei; Henry V Baker; Frederick A Moore; Lyle L Moldawer; Scott C Brakenridge
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9.  Patterns of gene expression among murine models of hemorrhagic shock/trauma and sepsis.

Authors:  Juan C Mira; Benjamin E Szpila; Dina C Nacionales; Maria-Cecilia Lopez; Lori F Gentile; Brittany J Mathias; Erin L Vanzant; Ricardo Ungaro; David Holden; Martin D Rosenthal; Jaimar Rincon; Patrick T Verdugo; Shawn D Larson; Frederick A Moore; Scott C Brakenridge; Alicia M Mohr; Henry V Baker; Lyle L Moldawer; Philip A Efron
Journal:  Physiol Genomics       Date:  2015-11-17       Impact factor: 3.107

Review 10.  Insights into the Role of Chemokines, Damage-Associated Molecular Patterns, and Lymphocyte-Derived Mediators from Computational Models of Trauma-Induced Inflammation.

Authors:  Rami A Namas; Qi Mi; Rajaie Namas; Khalid Almahmoud; Akram M Zaaqoq; Othman Abdul-Malak; Nabil Azhar; Judy Day; Andrew Abboud; Ruben Zamora; Timothy R Billiar; Yoram Vodovotz
Journal:  Antioxid Redox Signal       Date:  2015-12-10       Impact factor: 8.401

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