Epplen C, Rumpf H, Albert E, Haas P, Truckenbrodt H, Epplen J T
Department of Molecular Human Genetics, Ruhr University at Bochum, Germany.
Eur J Immunogenet. 1995 Aug;22(4):311-22. doi: 10.1111/j.1744-313x.1995.tb00247.x.
DNA profiles (immunoprints) were generated for 120 patients suffering from early onset pauciarticular chronic arthritis (EOPA-JCA) and > 500 healthy controls utilizing highly polymorphic microsatellites in the vicinity of immunorelevant genes. Six T cell receptor (TCR) markers for the CD3D, TCRDVAJ, TEA, TCRBV6S1, BV6S3, BV6S7 and BV13S2 genes were analysed. Furthermore markers for the cell surface molecule CD40L, for cytokine genes (IL-1A, IL-2, IFN-alpha, FGF-alpha, TNF-alpha), the chromosomal region of the IRF2 and the cytokine receptor gene IL5RA were studied as well as two polymorphisms within the promotor region of the TNF-alpha gene. Coding region polymorphisms were evidenced indirectly by repeat length variation or they were predicted from the microsatellite distribution profiles and then confirmed by direct sequence analysis. Statistical evaluations were performed with respect to known predispositions, predominance of females (> 80%) and HLA-DR and -DQ haplotypes. Cell surface molecules (TCR, CD40L, IL5RA) as well as almost all cytokines (IL-1A, IFN alpha, FGFA, IRF2 region) were excluded as predisposing in our JCA panel. The TNF-alpha microsatellite alleles (GT)10-12 contribute considerably to manifestation of the disease, in HLA-DRB111(12) individuals (RR = 12.8). The TNF-alpha allele is not found in linkage disequilibrium with HLA-DRB111(12) and may be present on either chromosome 6. Thus, a novel susceptibility factor probably within the TNFA/TNFB gene region has been identified via linkage with the TNF-alpha microsatellite allele. Apparently complex compositions of the genetic background rather than single genes provide the precondition for manifestation of the autoimmune disease EOPA-JCA. Immunoprinting unravels the variability of the immunological genome via the semi-directed microsatellite approach efficiently.
利用免疫相关基因附近的高度多态性微卫星,为120例早发性少关节慢性关节炎(EOPA-JCA)患者和500多名健康对照者生成了DNA图谱(免疫印记)。分析了CD3D、TCRDVAJ、TEA、TCRBV6S1、BV6S3、BV6S7和BV13S2基因的6个T细胞受体(TCR)标记。此外,还研究了细胞表面分子CD40L、细胞因子基因(IL-1A、IL-2、IFN-α、FGF-α、TNF-α)、IRF2的染色体区域和细胞因子受体基因IL5RA以及TNF-α基因启动子区域内的两个多态性。编码区多态性通过重复长度变异间接证明,或者从微卫星分布图谱中预测,然后通过直接序列分析进行确认。针对已知的易感性、女性优势(>80%)以及HLA-DR和-DQ单倍型进行了统计评估。在我们的JCA组中,细胞表面分子(TCR、CD40L、IL5RA)以及几乎所有细胞因子(IL-1A、IFNα、FGFA、IRF2区域)都被排除为易感因素。TNF-α微卫星等位基因(GT)10 - 12在HLA-DRB111(12)个体中对疾病表现有很大贡献(RR = 12.8)。未发现TNF-α等位基因与HLA-DRB111(12)处于连锁不平衡状态,并且可能存在于6号染色体的任何一条上。因此,通过与TNF-α微卫星等位基因的连锁,可能在TNFA/TNFB基因区域内鉴定出一种新的易感因素。显然,遗传背景的复杂组成而非单个基因是自身免疫性疾病EOPA-JCA表现的前提条件。免疫印记通过半定向微卫星方法有效地揭示了免疫基因组的变异性。