OF MICE AND MEN:COMMONALITY OF THE MURINE AND HUMAN RESPONSE TO BURN Alex G. Cuenca MD1, Lori F. Gentile MD1, M. Cecilia Lopez MS2, Wenzhong Xiao PhD3, Michael N. Mindrinos PhD3 , Richard L. Gamelli MD6, Ravi Shankar PhD5, Celeste C. Finnerty PhD6, David N. Herndon MD6, Lyle L. MoldawerPhD1, Ronald G. Tompkins MD4, Henry V. Baker PhD1,2,8, and the Inflammation and Host Response to Injury Consortium7 Department of 1Surgery and 2Molecular Genetics and Microbiology, University of Florida College of Medicine, Gainesville, FL; 3Stanford Genome Technology Center, Palo Alto, CA; 4Department of Surgery, Massachusetts General Hospital, Boston, MA; 5 Department of Surgery, Loyola Medical College, Chicago, IL, 6Department of Surgery, University of Texas Medical Branch, Galveston, TX. Background: Although significant advances in resuscitation and critical care have improved clinical outcomes, burn injury remains a significant health care issue. To investigate the immunological and inflammatory response to injury, investigators have commonly employed murine models. The mouse has been ideal because of its small size, ease of breeding, and relatively low maintenance. More recently, the in-bred mouse has become an essential prerequisite because of its uniform genetic background, and the generation and commercial availability of knockouts and transgenic strains (1). Genomic sequencing studies suggest that humans share 99% of their genes with the mouse, making it an ideal mammalian model for studying molecular and genetic mechanisms in human disease (2). Despite these similarities, some of the most promising therapeutic modalities developed in mouse models of sepsis and systemic injury have failed to improve survival in human clinical trials (3). Therefore, the question remains, is the mouse an appropriate model for the study of human disease? There are a large number of possible explanations for the contrasting responses by humans and mice to sepsis and injury. Despite the obvious differences in metabolic rate between mice and humans as well as anatomy, most murine studies have used inbred, juvenile, previously-healthy mice that do not reflect the heterogeneity of the human patient with regards to their age, pre-existing co-morbidities, immune, and nutritional status (1, 3). Additionally, mouse models of critical illness do not provide the complex physiological support that humans receive in the critical care setting, such as aggressive fluid, nutritional, cardiac and ventilator support. With the increasing sophistication of techniques such as deep sequencing and microarrays, much is known about gene structure and function in humans and in mice. However, less is known about gene expression and regulation, particularly after critical illness, such as severe burn injury (4). Objectives: To examines changes in gene expression from whole blood leukocytes in response to burn injury, and compares burn responsive genes in the human to those in the mouse. Methods: For human studies, whole blood leukocyte RNA from juvenile male subjects, aged 5-15 years and experiencing greater than 20% total body surface are. In addition, 12 healthy male subjects between the ages of 017 years with a similar age distribution made up the control group. There were 102 blood samples collected at various time intervals from 77 burn patients up to post burn day 28, and 12 samples from 12 healthy volunteers. GeneChip™ Human Genome U133 Plus 2.0 Arrays (Affymetrix), were processed as described previously (28). For murine studies, juvenile mice, aged eight weeks, exposed to a 25% total body surface area scald burn, was collected at several time points post injury (5). The mouse samples were processed as previously described (5). GeneChip™ Mouse Genome 430 2.0 Arrays were processed at Washington University St. Louis as described previously. 1-2ug total RNA was used to make antisense cDNA with the NuGEN Technologies (San Carlo, CA) and processed according to Affymetrix standard protocols. Results The human and mouse genomic response to burn injury is fundamentally similar.Though many murine models of injury exist to study the pathologic and physiologic perturbations associated with trauma, sepsis, or infection, there is a paucity of evidence demonstrating whether these models actually recapitulate the human condition (1). In both cohorts, severe burn produced dramatic changes in the whole blood leukocyte transcriptome. Following Alex G Cuenca, MD 1600 SW Archer RD Gainesville, FL 32608 352-265-0494 (Office) 352-265-0676 (FAX) alex.cuenca@surgery.ufl.edu burn injury, 2,383 murine probe sets and 7,042 human probesets 1. Overall transcriptomic changed significantly over time (using a false discovery adjusted Figure response to burn injury in mice and probability of Q<0.001). The magnitude of the genomic changes in the humans. (A and B) Heat map of burned patients is very similar to that seen in humans after endotoxin probesets found to be significantly administration (6) or severe trauma (manuscript in press), and has increased or decreased via K-means been termed, a ‘genomic storm’. clustering. For the human set there were These genes could be organized into two main expression 4107 genes differentially expressed and clusters based on whether their expression increased or decreased for the mice, there were 2383 genes following burn injury (Figure 1A and B). When comparing the human transcriptomic response of burn injury to that of the mouse at the differentially expressed (Q <0.001). level of individual genes, a total of 4107 and 1332 Ingenuity Function/Pathway AnalysisTM (IPA) eligible genes changed significantly (p<0.001), representing between 21%-61% of the respective mouse or human genomes. Although one of the limitations of the analysis is that there is a dramatic difference in the time course during which samples were collected in humans compared to mice, the time periods were obtained when changes in expression was maximal for each species, suggesting that the majority of the responses to severe burn injury were still captured in both data sets. While at the level of the probe set or gene at the stringent significance threshold used here there do not appear to be many similarities between humans and mice, analysis of the signaling pathways that were either up- or down- regulated as a result of burn injury demonstrate a remarkable similarity between both species. Of the 20 pathways most upregulated in both species, Ingenuity Pathway Analysis™ (IPA) revealed that the immune related pathways for Integrin signaling, IL-10 signaling, Fc Receptor Mediated Phagocytosis in Macrophages and Monocytes, and B cell Receptor Signaling were all highly increased in both mice and humans. Pathway analysis also revealed that Molecular Mechanisms of Cancer and Germ Cell-Sertoli Junction Signaling were also increased in both mice and humans. Though the significance of these latter two pathways in response to injury let alone burn injury is less clear, the upregulation of these pathways following burn is more than likely related to proliferation and repair of infiltrating leukocytes. There was also significant overlap between the top 20 down-regulated pathways in mice and humans following burn injury. IPA revealed that iCOS-iCOSL signaling in T cells, CD28 Signaling in T Helper Cells, PKC Signaling in T lymphocytes, T cell Receptor, Antigen presentation pathway and B cell Receptor Signaling were all significantly decreased in both mice and humans following burn injury. These data support the hypothesis that at the level of individual pathways or ontologies, there is indeed a broadly similar transcriptomic response to severe injury following burn injury between mice and humans. This becomes particularly important with regards to the focus of many studies which assume that because the deletion or modulation of a single protein, such as TNF-, IL1, HMGB1 or even the more recently studied SPHK1, improves outcome in murine investigations, it should similarly work well in clinical trials (7-9). Unfortunately, the reality is that therapeutic design using these strategies rarely succeeds and while the murine model may give important insight into disease mechanism, the mouse may be less suitable for use in preclinical therapeutic studies, due to the observed differences between species at the gene level (10, 11). This is captured in further analyses of specific pathways that are similarly upregulated in both mouse and human. For example, though the Toll like receptor pathway is upregulated in both mouse and humans, CD14, MAP2K4, MyD88, TIRAP, and TLR6 are upregulated in the mouse but not the human and conversely, IKKalpha, LBP, MEKK1, TLR1, TLR4, TLR5, TLR8, and TOLLIP are significantly upregulated in the human but not the mouse. These data suggest that although there are mechanistic similarities between humans and mice in the overall response to thermal injury within a given pathway, there are differences in individual gene expression. These observations hold true when pathways involved in adaptive immune signaling, stress hormone responses, and cell proliferation are analyzed. In addition, when we compare the IL-1 signaling pathway between mouse and human in response to thermal injury, we observe that again, though the pathway is similarly altered following burn, the specific genes that are altered within the pathway are different. These differences may be why in preclinical studies, blockade of IL-1 appeared to improve survival to sepsis whereas in human trials, had little to no effect. Conclusions: This study presents a novel comparison of the mouse and human leukocyte transcriptome following severe burn injury. As the mouse has been and continues to be extensively used to investigate the human burn injury response, as well as test the efficacy of therapeutics, validation of a common response to a given stimuli is critical to the use of this animal as a model for the human condition. Though these findings are somewhat expected, the whole blood leukocyte transcriptomic response has never been explored with such detail and then subsequently compared between both species. Although the concordance in expression at the individual gene is not particularly strong, there was remarkable overlap in gene expression when evaluated at the level of individual functional modules, pathways or ontologies. Given these data, however, the question arises of why then do preclinical therapeutic trials in mice often succeed whereas the clinical trials fail? The answers are clearly complex and multifactoral. But partly, the results appear to rest with the choice of therapeutic and its putative target. In many cases, the intervention targets the activity or response of an individual gene or protein, and concordance between mice and humans is dependent upon the functional overlap of the individual gene, and not necessarily the pathway involved. This raises the intriguing possibility that although there is commonality in the pathways affected following burn injury, the genes within each pathway may not have identical behavior between species, and therefore molecular targets affecting single genes may affect the pathologic process differently in one species than in the other. Although the overall responses to burn injury are remarkably similar, the studies here strongly suggest that individual therapies must take into consideration the differences in gene expression patterns. References 1. Haouzi, P. (2011) Crit Care Med. 2. Paigen, K. (2003) Genetics 163, 1227-1235. 3. Dejager, L., Pinheiro, I., Dejonckheere, E., & Libert, C. (2011) Trends Microbiol 19, 198-208. 4. Finnerty, C. C., Przkora, R., Herndon, D. N., & Jeschke, M. G. (2009) Cytokine 45, 20-25. 5. Lederer, J. A., Brownstein, B. H., Lopez, M. C., Macmillan, S., Delisle, A. J., Macconmara, M. P., Choudhry, M. A., Xiao, W., Lekousi, S., Cobb, J. P., et al. (2008) Physiol Genomics 32, 299-310. 6. Calvano, S. E., Xiao, W., Richards, D. R., Felciano, R. M., Baker, H. V., Cho, R. J., Chen, R. O., Brownstein, B. H., Cobb, J. P., Tschoeke, S. K., et al. (2005) Nature 437, 1032-1037. 7. Tracey, K. J., Fong, Y., Hesse, D. G., Manogue, K. R., Lee, A. T., Kuo, G. C., Lowry, S. F., & Cerami, A. (1987) Nature 330, 662-664. 8. Yang, H., Ochani, M., Li, J., Qiang, X., Tanovic, M., Harris, H. E., Susarla, S. M., Ulloa, L., Wang, H., DiRaimo, R., et al. (2004) Proc Natl Acad Sci U S A 101, 296-301. 9. Puneet, P., Yap, C. T., Wong, L., Lam, Y., Koh, D. R., Moochhala, S., Pfeilschifter, J., Huwiler, A., & Melendez, A. J. (2010) Science 328, 1290-1294. 10. Fisher, C. J., Jr., Dhainaut, J. F., Opal, S. M., Pribble, J. P., Balk, R. A., Slotman, G. J., Iberti, T. J., Rackow, E. C., Shapiro, M. J., Greenman, R. L., et al. (1994) JAMA 271, 1836-1843. 11. Fischer, E., Marano, M. A., Van Zee, K. J., Rock, C. S., Hawes, A. S., Thompson, W. A., DeForge, L., Kenney, J. S., Remick, D. G., Bloedow, D. C., et al. (1992) The Journal of clinical investigation 89, 1551-1557. 12. Fisher, C. J., Jr., Agosti, J. M., Opal, S. M., Lowry, S. F., Balk, R. A., Sadoff, J. C., Abraham, E., Schein, R. M., & Benjamin, E. (1996) The New England journal of medicine 334, 1697-1702.