Literature DB >> 12594249

Combined autoimmune models of arthritis reveal shared and independent qualitative (binary) and quantitative trait loci.

Vyacheslav A Adarichev1, Juan C Valdez, Tamás Bárdos, Alison Finnegan, Katalin Mikecz, Tibor T Glant.   

Abstract

Collagen-induced arthritis (CIA) and proteoglycan-induced arthritis (PGIA) are murine models for rheumatoid arthritis both in terms of their pathology and genetics. Using the F(2) hybrids of the CIA-susceptible, but PGIA-resistant DBA/1 mice, and the CIA-resistant, but PGIA-susceptible BALB/c mice, our goals were to 1) identify both model-specific and shared loci that confer disease susceptibility, 2) determine whether any pathophysiological parameters could be used as markers that distinguish between nonarthritic and arthritic mice, and 3) analyze whether any immune subtraits showed colocalization with arthritis-related loci. To identify chromosomal loci, we performed a genome scan on 939 F(2) hybrid mice. For pathophysiological analyses, we measured pro- and anti-inflammatory cytokines (IL-1, IL-6, TNF-alpha, IFN-gamma, IL-4, IL-10, IL-12), Ag-specific T cell proliferation and IL-2 production, serum IgG1 and IgG2 levels of both auto- and heteroantibodies, and soluble CD44. In addition to multiple CIA- and PGIA-related loci identified in previous studies, we have identified nine new CIA- and eight new PGIA-linked loci. Comprehensive statistical analysis demonstrated that IL-2 production, T cell proliferation, and IFN-gamma levels differed significantly between arthritic and nonarthritic animals in both CIA and PGIA populations. High levels of TNF-alpha, IFN-gamma, IL-2, and Ab production were detected in F(2) hybrids with CIA, whereas T cell proliferation, IL-2 and IFN-gamma production, and a shift to IgG2a isotype were more characteristic of PGIA. Quantitative trait loci analysis demonstrated colocalization of numerous immune subtraits with arthritis-related traits. Quantitative trait loci on chromosomes 5, 10, 17, 18, and X were found to control arthritis in both models.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12594249     DOI: 10.4049/jimmunol.170.5.2283

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  21 in total

1.  Disease-promoting and -protective genomic loci on mouse chromosomes 3 and 19 control the incidence and severity of autoimmune arthritis.

Authors:  T T Glant; V A Adarichev; F Boldizsar; T Besenyei; A Laszlo; K Mikecz; T A Rauch
Journal:  Genes Immun       Date:  2012-03-08       Impact factor: 2.676

2.  Variation in IL-1beta gene expression is a major determinant of genetic differences in arthritis aggressivity in mice.

Authors:  Koichiro Ohmura; Alyssa Johnsen; Adriana Ortiz-Lopez; Paul Desany; Matt Roy; Whitney Besse; John Rogus; Molly Bogue; Anne Puech; Mark Lathrop; Diane Mathis; Christophe Benoist
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-19       Impact factor: 11.205

3.  TSG-6 protein, a negative regulator of inflammatory arthritis, forms a ternary complex with murine mast cell tryptases and heparin.

Authors:  Gyorgy Nagyeri; Marianna Radacs; Sheida Ghassemi-Nejad; Beata Tryniszewska; Katalin Olasz; Gabor Hutas; Zsuzsa Gyorfy; Vincent C Hascall; Tibor T Glant; Katalin Mikecz
Journal:  J Biol Chem       Date:  2011-05-12       Impact factor: 5.157

4.  An interaction between genetic factors and gender determines the magnitude of the inflammatory response in the mouse air pouch model of acute inflammation.

Authors:  David L Delano; M Carmen Montesinos; Peter D'Eustachio; Tim Wiltshire; Bruce N Cronstein
Journal:  Inflammation       Date:  2005-02       Impact factor: 4.092

5.  Dissection of a locus on mouse chromosome 5 reveals arthritis promoting and inhibitory genes.

Authors:  Therese Lindvall; Jenny Karlsson; Rikard Holmdahl; Asa Andersson
Journal:  Arthritis Res Ther       Date:  2009       Impact factor: 5.156

6.  The choice of adjuvant determines the cytokine profile of T cells in proteoglycan-induced arthritis but does not influence disease severity.

Authors:  Jeroen N Stoop; Christopher A Tibbitt; Willem van Eden; John H Robinson; Catharien M U Hilkens
Journal:  Immunology       Date:  2013-01       Impact factor: 7.397

7.  Fine-scale analysis of parasite resistance genes in the red flour beetle, Tribolium castaneum.

Authors:  Daibin Zhong; Aditi Pai; Mei-Hui Wang; Naomi Keech; Guiyun Yan
Journal:  Genetics       Date:  2013-06-14       Impact factor: 4.562

8.  Congenic strains displaying similar clinical phenotype of arthritis represent different immunologic models of inflammation.

Authors:  V A Adarichev; A Vegvari; Z Szabo; K Kis-Toth; K Mikecz; T T Glant
Journal:  Genes Immun       Date:  2008-07-24       Impact factor: 2.676

9.  BALB/c mice genetically susceptible to proteoglycan-induced arthritis and spondylitis show colony-dependent differences in disease penetrance.

Authors:  Balint Farkas; Ferenc Boldizsar; Oktavia Tarjanyi; Anna Laszlo; Simon M Lin; Gabor Hutas; Beata Tryniszewska; Aaron Mangold; Gyorgy Nagyeri; Holly L Rosenzweig; Alison Finnegan; Katalin Mikecz; Tibor T Glant
Journal:  Arthritis Res Ther       Date:  2009-02-16       Impact factor: 5.156

Review 10.  The value of animal models in predicting genetic susceptibility to complex diseases such as rheumatoid arthritis.

Authors:  Emma Ahlqvist; Malin Hultqvist; Rikard Holmdahl
Journal:  Arthritis Res Ther       Date:  2009-05-19       Impact factor: 5.156

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.