Abstract
Inflammatory bowel disease (IBD) is a complex disorder that imposes a growing health burden. Multiple genetic associations have been identified in IBD, but the mechanisms underlying many of these associations are poorly understood. Animal models are needed to bridge this gap, but conventional laboratory mouse strains lack the genetic diversity of human populations. To more accurately model human genetic diversity, we utilized a panel of chromosome (Chr) substitution strains, carrying chromosomes from the wild-derived and genetically divergent PWD/PhJ (PWD) strain on the commonly used C57BL/6J (B6) background, as well as their parental B6 and PWD strains. Two models of IBD were used, TNBS- and DSS-induced colitis. Compared with B6 mice, PWD mice were highly susceptible to TNBS-induced colitis, but resistant to DSS-induced colitis. Using consomic mice, we identified several PWD-derived loci that exhibited profound effects on IBD susceptibility. The most pronounced of these were loci on Chr1 and Chr2, which yielded high susceptibility in both IBD models, each acting at distinct phases of the disease. Leveraging transcriptomic data from B6 and PWD immune cells, together with a machine learning approach incorporating human IBD genetic associations, we identified lead candidate genes, including Itga4, Pip4k2a, Lcn10, Lgmn, and Gpr65.
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Code availability
All R code used for the SVM analysis can be accessed at https://github.com/MahoneyLabGroup/IBD.
References
Engel MA, Neurath MF. New pathophysiological insights and modern treatment of IBD. J Gastroenterol. 2010;45:571–83.
Neurath MF. Cytokines in inflammatory bowel disease. Nat Rev Immunol. 2014;14:329–42.
Farmer MA, Sundberg JP, Bristol IJ, Churchill GA, Li R, Elson CO, et al. A major quantitative trait locus on chromosome 3 controls colitis severity in IL-10-deficient mice. Proc Natl Acad Sci USA. 2001;98:13820–5.
Ermann J, Garrett WS, Kuchroo J, Rourida K, Glickman JN, Bleich A, et al. Severity of innate immune-mediated colitis is controlled by the cytokine deficiency-induced colitis susceptibility-1 (Cdcs1) locus. Proc Natl Acad Sci USA. 2011;108:7137–41.
Sundberg JP, Elson CO, Bedigian H, Birkenmeier EH. Spontaneous, heritable colitis in a new substrain of C3H/HeJ mice. Gastroenterology. 1994;107:1726–35.
Franke A, McGovern DP, Barrett JC, Wang K, Radford-Smith GL, Ahmad T, et al. Genome-wide meta-analysis increases to 71 the number of confirmed Crohn’s disease susceptibility loci. Nat Genet. 2010;42:1118–25.
Anderson CA, Boucher G, Lees CW, Franke A, D’Amato M, Taylor KD, et al. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47. Nat Genet. 2011;43:246–52.
Jostins L, Ripke S, Weersma RK, Duerr RH, McGovern DP, Hui KY, et al. Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease. Nature. 2012;491:119–24.
de Lange KM, Moutsianas L, Lee JC, Lamb CA, Luo Y, Kennedy NA, et al. Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease. Nat Genet. 2017;49:256–61.
McGovern DP, Kugathasan S, Cho JH. Genetics of inflammatory bowel diseases. Gastroenterology. 2015;149:1163–76. e2
Gordon H, Trier Moller F, Andersen V, Harbord M. Heritability in inflammatory bowel disease: from the first twin study to genome-wide association studies. Inflamm Bowel Dis. 2015;21:1428–34.
Yang H, Bell TA, Churchill GA, Pardo-Manuel de Villena F. On the subspecific origin of the laboratory mouse. Nat Genet. 2007;39:1100–7.
Yang H, Wang JR, Didion JP, Buus RJ, Bell TA, Welsh CE, et al. Subspecific origin and haplotype diversity in the laboratory mouse. Nat Genet. 2011;43:648–55.
Keane TM, Goodstadt L, Danecek P, White MA, Wong K, Yalcin B, et al. Mouse genomic variation and its effect on phenotypes and gene regulation. Nature. 2011;477:289–94.
Gregorova S, Forejt J. PWD/Ph and PWK/Ph inbred mouse strains of Mus m. musculus subspecies–a valuable resource of phenotypic variations and genomic polymorphisms. Folia Biologica. 2000;46:31–41.
Gregorova S, Divina P, Storchova R, Trachtulec Z, Fotopulosova V, Svenson KL, et al. Mouse consomic strains: Exploiting genetic divergence between Mus m musculus and Mus m domesticus subspecies. Genome Res. 2008;18:509–15.
Bearoff F, Del Rio R, Case LK, Dragon JA, Nguyen-Vu T, Lin CY, et al. Natural genetic variation profoundly regulates gene expression in immune cells and dictates susceptibility to CNS autoimmunity. Genes Immun. 2016;17:386–95.
Bearoff F, Case LK, Krementsov DN, Wall EH, Saligrama N, Blankenhorn EP, et al. Identification of Genetic Determinants of the Sexual Dimorphism in CNS Autoimmunity. PLoS ONE. 2015;10:e0117993.
Blankenhorn EP, Butterfield R, Case LK, Wall EH, del Rio R, Diehl SA, et al. Genetics of experimental allergic encephalomyelitis supports the role of T helper cells in multiple sclerosis pathogenesis. Ann Neurol. 2011;70:887–96.
Baranzini SE, Oksenberg JR. The Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years. Trends Genet. 2017;33:960–70.
Cotsapas C, Voight BF, Rossin E, Lage K, Neale BM, Wallace C, et al. Pervasive sharing of genetic effects in autoimmune disease. PLoS Genet. 2011;7:e1002254.
Krementsov DN, Asarian L, Fang Q, McGill MM, Teuscher C. Sex-specific gene-by-vitamin D interactions regulate susceptibility to central nervous system autoimmunity. Front Immunol. 2018;9:1622.
Wirtz S, Neufert C, Weigmann B, Neurath MF. Chemically induced mouse models of intestinal inflammation. Nat Protoc. 2007;2:541–6.
Chassaing B, Srinivasan G, Delgado MA, Young AN, Gewirtz AT, Vijay-Kumar M. Fecal lipocalin 2, a sensitive and broadly dynamic non-invasive biomarker for intestinal inflammation. PLoS ONE. 2012;7:e44328.
Goyette P, Boucher G, Mallon D, Ellinghaus E, Jostins L, Huang H, et al. High-density mapping of the MHC identifies a shared role for HLA-DRB1*01:03 in inflammatory bowel diseases and heterozygous advantage in ulcerative colitis. Nat Genet. 2015;47:172–9.
Zhang J, Wei Z, Cardinale CJ, Gusareva ES, Van Steen K, Sleiman P, et al. Multiple epistasis interactions within MHC are associated with ulcerative colitis. Front Genet. 2019;10:257.
Churchill GA, Airey DC, Allayee H, Angel JM, Attie AD, Beatty J, et al. The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat Genet. 2004;36:1133–7.
Rogala AR, Morgan AP, Christensen AM, Gooch TJ, Bell TA, Miller DR, et al. The Collaborative Cross as a resource for modeling human disease: CC011/Unc, a new mouse model for spontaneous colitis. Mamm Genome. 2014;25:95–108.
Guan Y, Gorenshteyn D, Burmeister M, Wong AK, Schimenti JC, Handel MA, et al. Tissue-specific functional networks for prioritizing phenotype and disease genes. PLoS Comput Biol. 2012;8:e1002694.
Tyler AL, Raza A, Krementsov DN, Case LK, Huang R, Ma RZ, et al. Network-based functional prediction augments genetic association to predict candidate genes for histamine hypersensitivity in mice. G3 (Bethesda). 2019;9:4223–33.
Goya J, Wong AK, Yao V, Krishnan A, Homilius M, Troyanskaya OG. FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Res. 2015;43:W182–7.
Valatas V, Bamias G, Kolios G. Experimental colitis models: insights into the pathogenesis of inflammatory bowel disease and translational issues. Eur J Pharm. 2015;759:253–64.
Joyce-Shaikh B, Cua DJ, Bauché D. Induction and analysis of anti-CD40-induced colitis in mice. Bio-Protoc. 2019;9:e3153.
Coutzac C, Adam J, Soularue E, Collins M, Racine A, Mussini C, et al. Colon immune-related adverse events: anti-CTLA-4 and anti-PD-1 blockade induce distinct immunopathological entities. J Crohns Colitis. 2017;11:1238–46.
Pagnini C, Arseneau KO, Cominelli F. Natalizumab in the treatment of Crohn’s disease patients. Expert Opin Biol Ther. 2017;17:1433–8.
Kalincik T, Brown JWL, Robertson N, Willis M, Scolding N, Rice CM, et al. Treatment effectiveness of alemtuzumab compared with natalizumab, fingolimod, and interferon beta in relapsing-remitting multiple sclerosis: a cohort study. Lancet Neurol. 2017;16:271–81.
Sasaki T, Takasuga S, Sasaki J, Kofuji S, Eguchi S, Yamazaki M, et al. Mammalian phosphoinositide kinases and phosphatases. Prog Lipid Res. 2009;48:307–43.
Stanford SM, Rapini N, Bottini N. Regulation of TCR signalling by tyrosine phosphatases: from immune homeostasis to autoimmunity. Immunology. 2012;137:1–19.
Stanford SM, Svensson MN, Sacchetti C, Pilo CA, Wu DJ, Kiosses WB, et al. Receptor protein tyrosine phosphatase alpha-mediated enhancement of rheumatoid synovial fibroblast signaling and promotion of arthritis in mice. Arthritis Rheumatol. 2016;68:359–69.
Dainichi T, Matsumoto R, Mostafa A, Kabashima K. Immune control by TRAF6-mediated pathways of epithelial cells in the EIME (Epithelial Immune Microenvironment). Front Immunol. 2019;10:1107.
Quigley D. Equalizer reduces SNP bias in Affymetrix microarrays. BMC Bioinforma. 2015;16:238.
Keubler LM, Buettner M, Hager C, Bleich A. A multihit model: colitis lessons from the interleukin-10-deficient Mouse. Inflamm bowel Dis. 2015;21:1967–75.
Buettner M, Bleich A. Mapping colitis susceptibility in mouse models: distal chromosome 3 contains major loci related to Cdcs1. Physiol Genomics. 2013;45:925–30.
Dall E, Brandstetter H. Structure and function of legumain in health and disease. Biochimie. 2016;122:126–50.
Manoury B, Mazzeo D, Fugger L, Viner N, Ponsford M, Streeter H, et al. Destructive processing by asparagine endopeptidase limits presentation of a dominant T cell epitope in MBP. Nat Immunol. 2002;3:169–74.
Lassen KG, McKenzie CI, Mari M, Murano T, Begun J, Baxt LA, et al. Genetic coding variant in GPR65 alters lysosomal pH and links lysosomal dysfunction with colitis risk. Immunity. 2016;44:1392–405.
Spohn SN, Bianco F, Scott RB, Keenan CM, Linton AA, O’Neill CH, et al. Protective actions of epithelial 5-hydroxytryptamine 4 receptors in normal and inflamed colon. Gastroenterology. 2016;151:933–44. e3
Cooper HS, Murthy SN, Shah RS, Sedergran DJ. Clinicopathologic study of dextran sulfate sodium experimental murine colitis. Lab Invest. 1993;69:238–49.
Linden DR, Chen JX, Gershon MD, Sharkey KA, Mawe GM. Serotonin availability is increased in mucosa of guinea pigs with TNBS-induced colitis. Am J Physiol Gastrointest Liver Physiol. 2003;285:G207–16.
Raza A, Crothers JW, McGill MM, Mawe GM, Teuscher C, Krementsov DN. Anti-inflammatory roles of p38alpha MAPK in macrophages are context dependent and require IL-10. J Leukoc Biol. 2017;102:1219–27.
Acknowledgements
This work was supported by the following grants: NIH/NINDS R01 NS097596, NIH/NIAID R21 AI145306, and VCIID COBRE Pilot Project award to D.N.K. (supported by NIH/NIGMS grant P30 GM118228; PI: Ralph Budd); NIH NLM R21 LM012615 to A.L.T. and J.M.M.; and N.I.H. DK113800 to G.M.M.
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Lahue, K.G., Lara, M.K., Linton, A.A. et al. Identification of novel loci controlling inflammatory bowel disease susceptibility utilizing the genetic diversity of wild-derived mice. Genes Immun 21, 311–325 (2020). https://doi.org/10.1038/s41435-020-00110-8
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DOI: https://doi.org/10.1038/s41435-020-00110-8