Literature DB >> 25374745

Role of murine asthma model in discovering asthma susceptible genes.

Choon-Sik Park1.   

Abstract

Entities:  

Year:  2014        PMID: 25374745      PMCID: PMC4214966          DOI: 10.4168/aair.2014.6.6.475

Source DB:  PubMed          Journal:  Allergy Asthma Immunol Res        ISSN: 2092-7355            Impact factor:   5.764


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Asthma is a genetically complex disease associated with the familiar segregation of atopy and increased levels of total serum IgE.1 Asthma and atopy are also closely associated with increased bronchial hyperreactivity and elevated blood eosinophil count.2,3 These intermediate phenotypes are highly inheritable and the subject of asthma genetics research. The occurrence of asthma patients within families indicates the likely presence of a genetic component. Ge-nome-wide linkage studies, biologically plausible candidate gene approaches, and genome-wide association scans (GWAS), have been performed over the past 20 years to search for the genetic background of asthma. Recently, whole genome sequencing is applied to reveal the genes (or SNPs) related with the traits of asthma and subphenotypes. However, SNPs discovered by several GWASs have a limited ability to explain genetic effects for the development of asthma despite the significant number of enrolled subjects (more than 10,000). Imprecise disease phenotypes have been regarded as the factor related to the limitations of GWAS. Asthma should be classified into specific phenotypes with the consideration of environmental factors to overcome missing inheritability.4,5 Asthma is subgrouped into IgE-dependent Th2 dominant type, aspirin-exacerbated respiratory disease, occupational asthma, exercise-induced asthma, and menstruation-or obesity-associated asthma; it is further divided based on airway inflammatory patterns and immune responses.6,7 The mapping of susceptibility genes in asthmatics as a whole has been hampered by variability in sub-phenotypes, genetic heterogeneity across populations and uncontrolled environmental influences.8 To circumvent the complexity of genetic research in asthmatics, mouse model studies of allergic airway diseases have been applied to search for candidate genes related to the development of asthma. In the present issue, Gergely Temesi et al.9 presented "Novel genes in Human Asthma Based on a Mouse Model of Allergic Airway Inflammation and Human Investigations". In the ovalbumin (OVA)-induced murine model of asthma, they applied microarray gene expression analysis at different time points after allergen challenges.10 In the late response of OVA-induced experimental asthma, they found more than thousand transcripts that showed statistical significances compared to the control. A total of 90 SNPs were genotyped, and the genotype distributions of 4 SNPs of 2 genes differed significantly: SCIN (rs2240572, rs2240571, rs3735222) and PPARGC1B (rs32588). They and ITLN1 (rs4656958), of which a SNP statistically borderline difference, were validated in induced sputum samples by measuring the protein levels of SCIN, PPARGC1B, and ITLN1. Three potentially novel asthma-associated genes were identified based on mouse experiments and human studies. A Th2 dominant asthma model has been induced by intraperitoneal injection with OVA and aluminum hydroxide as adjuvant, followed by OVA intranasal challenges.11 The model shows airway hyperreactivity, goblet cell hyperplasia, pulmonary eosinophilia and increase of antigen-specific IgE. This model helps discover a considerable number of asthma candidate genes that include Th2 cytokines (IL-4, IL-15, IL-13, IL-9 and IL-25) and proinflammatory mediators (complements, arginase I, and arginase II).12,13 Even in this OVA model, inflammatory responses are very different depending on the time point.11 Asthma in humans is a chronic airway inflammation and the time point of the chronic asthma model represents a reflection of human asthma. The results of Gergely Temesi et al indicated that the minor alleles of SCIN SNPs, rs2240572 (H61R) on exon 1 and rs3735222 on promoter region, had protective effects against asthma, and that these associations were more prominent when studying the female cohort separately. Consequently, the expression of certain genes, especially related female hormones, are highly likely dependent on gender difference. Allele carrying a 649G4C transversion in exon 4 of the PPARGC1B gene, resulting in an Ala-to-Pro (A203P) substitution, is significantly associated with familial breast cancer risk.14 Co-transfection assays demonstrated that nuclear receptors associated with the potent co-activator function of PPARGC1B are estrogen receptor alpha and glucocorticoid.15 Six week old female mice (used in many murine asthma models) are similar to the reproductive maturity of young human adult females. Thus, age factors should be considered in the data interpretation of this mice model. Age dependency has been observed in several genetic association studies. When SNPs on ORM1-like 3 was analyzed according to the age of asthma onset, the statistical difference of rs 7216389 on 17q21 became more apparent in the age group <16 years in Caucasians and Koreans, whereas the statistical significance disappeared in the group >16 years.16 Early-onset asthma and the late-onset asthma may have a different immune-pathogenesis; therefore, mice less than 3 or 4 weeks old would be suitable for mice models to reflect childhood asthma. The protein scinderin encoded by the SCIN gene is an actin filament-severing and capping enzyme which rearranges the apical actin cap in airway goblet cells.17,18 SCIN is over-expressed following allergen challenge in mice19; however, the exact relationship of SCIN with Th2 immune response is unknown. The gene discovered from one phenotype of asthma should be extended to the other kinds of asthma phenotypes using different animal models.20,21 Non-Th2 cytokine pathways (such as Th17 and inflammasome activation) underlie airway inflammation in specific subsets of asthma patients, especially non-eosinophilic inflammation.22,23 Well-characterized murine model mimics the pathophysiology of human allergic asthma in the interpretation of animal model data; however, it is not exactly the same. The development of murine models that reflect several sub-phenotypes of asthma remains an important goal for future human asthma studies.
  23 in total

1.  A sequence variant on 17q21 is associated with age at onset and severity of asthma.

Authors:  Eva Halapi; Daniel F Gudbjartsson; Gudrun M Jonsdottir; Unnur S Bjornsdottir; Gudmar Thorleifsson; Hafdis Helgadottir; Carolyn Williams; Gerard H Koppelman; Andrea Heinzmann; H Marike Boezen; Aslaug Jonasdottir; Thorarinn Blondal; Sigurjon A Gudjonsson; Adalbjorg Jonasdottir; Theodora Thorlacius; Amanda P Henry; Janine Altmueller; Marcus Krueger; Hyoung Doo Shin; Soo-Taek Uh; Hyun Sub Cheong; Brynja Jonsdottir; Bjorn R Ludviksson; Dora Ludviksdottir; David Gislason; Choon-Sik Park; Klaus Deichmann; Philip J Thompson; Matthias Wjst; Ian P Hall; Dirkje S Postma; Thorarinn Gislason; Augustine Kong; Ingileif Jonsdottir; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Eur J Hum Genet       Date:  2010-04-07       Impact factor: 4.246

Review 2.  Asthma phenotypes: the evolution from clinical to molecular approaches.

Authors:  Sally E Wenzel
Journal:  Nat Med       Date:  2012-05-04       Impact factor: 53.440

Review 3.  Mouse models to evaluate the function of genes associated with allergic airway disease.

Authors:  Marie-Renee Blanchet; Matthew J Gold; Kelly M McNagny
Journal:  Curr Opin Allergy Clin Immunol       Date:  2012-10

4.  Barrier role of actin filaments in regulated mucin secretion from airway goblet cells.

Authors:  Camille Ehre; Andrea H Rossi; Lubna H Abdullah; Kathleen De Pestel; Sandra Hill; John C Olsen; C William Davis
Journal:  Am J Physiol Cell Physiol       Date:  2004-09-01       Impact factor: 4.249

5.  Dissection of experimental asthma with DNA microarray analysis identifies arginase in asthma pathogenesis.

Authors:  Nives Zimmermann; Nina E King; Johanne Laporte; Ming Yang; Anil Mishra; Sam M Pope; Emily E Muntel; David P Witte; Anthony A Pegg; Paul S Foster; Qutayba Hamid; Marc E Rothenberg
Journal:  J Clin Invest       Date:  2003-06       Impact factor: 14.808

6.  New asthma biomarkers: lessons from murine models of acute and chronic asthma.

Authors:  Emmanuel Di Valentin; Céline Crahay; Nancy Garbacki; Benoit Hennuy; Maud Guéders; Agnès Noël; Jean-Michel Foidart; Johan Grooten; Alain Colige; Jacques Piette; Didier Cataldo
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2008-11-21       Impact factor: 5.464

7.  Gene expression profiling of experimental asthma reveals a possible role of paraoxonase-1 in the disease.

Authors:  Gergely Tölgyesi; Viktor Molnár; Agnes F Semsei; Petra Kiszel; Ildikó Ungvári; Péter Pócza; Zoltán Wiener; Zsolt I Komlósi; László Kunos; Gabriella Gálffy; György Losonczy; Ildikó Seres; András Falus; Csaba Szalai
Journal:  Int Immunol       Date:  2009-06-25       Impact factor: 4.823

8.  Analysis of NLRP3 in the development of allergic airway disease in mice.

Authors:  Irving C Allen; Corey M Jania; Justin E Wilson; Erin M Tekeppe; Xiaoyang Hua; Willie J Brickey; Mildred Kwan; Beverly H Koller; Stephen L Tilley; Jenny P-Y Ting
Journal:  J Immunol       Date:  2012-02-08       Impact factor: 5.422

9.  The search for genetic variants and epigenetics related to asthma.

Authors:  Shin-Hwa Lee; Jong-Sook Park; Choon-Sik Park
Journal:  Allergy Asthma Immunol Res       Date:  2011-05-30       Impact factor: 5.764

10.  Novel genes in Human Asthma Based on a Mouse Model of Allergic Airway Inflammation and Human Investigations.

Authors:  Gergely Temesi; Viktor Virág; Eva Hadadi; Ildikó Ungvári; Lili E Fodor; András Bikov; Adrienne Nagy; Gabriella Gálffy; Lilla Tamási; Ildikó Horváth; András Kiss; Gábor Hullám; András Gézsi; Péter Sárközy; Péter Antal; Edit Buzás; Csaba Szalai
Journal:  Allergy Asthma Immunol Res       Date:  2014-08-19       Impact factor: 5.764

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