Papadea C, Reimer C B, Check I J
Department of Pathology, Emory University School of Medicine, Atlanta, GA 30322.
Ann Clin Lab Sci. 1989 Jan-Feb;19(1):27-37.
Multiple myeloma provides a unique model for studying factors affecting IgG isotype distribution in humans. Evaluations were made as to whether monoclonal immunoglobulins (M-proteins) of different IgG isotypes are associated with different extents of hypogammaglobulinemia and whether all residual subclasses are decreased comparably. The isotype patterns were analyzed in the context of the gene order of the constant regions of gamma (gamma) heavy chains on chromosome 14. Using monoclonal antibody-based immunoenzymometric assays, IgG subclasses were quantitated in the sera of 50 patients having IgG M-proteins, 38 with multiple myeloma and 12 with monoclonal gammopathy of undetermined significance. Thirty-three (66 percent) patients had IgG1, nine (18 percent) had IgG2, four (8 percent) had IgG3, and four had IgG4 M-proteins, paralleling the normal IgG subclass distribution. The concentration of residual IgG (sum of the evaluatable polyclonal IgG subclasses) was significantly decreased in patient sera (p less than 0.05). However, in only seven (14 percent) of the patients were all three subclasses below the reference range, suggesting some selectivity of immunosuppression. Patients with M-proteins of different IgG subclasses had markedly different patterns of suppression. Patients with IgG2 M-proteins (78 percent) were more likely to have depressed residual IgG than patients with IgG3 (50 percent), IgG1 (27 percent) or IgG4 (0 percent) M-proteins. Some patients had deficits of only one or two IgG subclasses. When considering all sera together, residual IgG1 was disproportionately reduced, followed by residual IgG2, IgG3, and IgG4. Next it was determined whether or not patterns of suppression were predicted by the gamma heavy-chain gene order (5' to 3'): gamma 3, gamma 1, gamma 2, gamma 4, as seen in some other immunologic disorders. Interestingly, the normal isotypes encoded by genes in juxtaposition to that of the M-protein were most often decreased (p less than 0.05). Thus, the patterns of hypogammaglobulinemia in multiple myeloma are heterogeneous. They may be influenced by the M-protein itself, possibly through interactions with regulatory cells. In addition, factors at the gene rearrangement level may contribute.
多发性骨髓瘤为研究影响人类IgG同种型分布的因素提供了一个独特的模型。我们评估了不同IgG同种型的单克隆免疫球蛋白(M蛋白)是否与不同程度的低丙种球蛋白血症相关,以及所有残留亚类是否以相同程度减少。在14号染色体上γ(γ)重链恒定区的基因顺序背景下分析同种型模式。使用基于单克隆抗体的免疫酶测定法,对50例有IgG M蛋白的患者血清中的IgG亚类进行定量,其中38例为多发性骨髓瘤患者,12例为意义未明的单克隆丙种球蛋白病患者。33例(66%)患者有IgG1 M蛋白,9例(18%)有IgG2 M蛋白,4例(8%)有IgG3 M蛋白,4例有IgG4 M蛋白,与正常IgG亚类分布相似。患者血清中残留IgG(可评估的多克隆IgG亚类之和)的浓度显著降低(p<0.05)。然而,仅7例(14%)患者的所有三个亚类均低于参考范围,提示免疫抑制存在一定选择性。不同IgG亚类M蛋白的患者具有明显不同的抑制模式。与IgG3(50%)、IgG1(27%)或IgG4(0%)M蛋白的患者相比,IgG2 M蛋白的患者(78%)更有可能出现残留IgG降低。一些患者仅有一种或两种IgG亚类缺乏。当综合考虑所有血清时,残留IgG1减少比例过高,其次是残留IgG2、IgG3和IgG4。接下来确定抑制模式是否由γ重链基因顺序(5'至3')预测:γ3、γ1、γ2、γ4,如在其他一些免疫疾病中所见。有趣的是,与M蛋白基因相邻的基因编码的正常同种型最常减少(p<0.05)。因此,多发性骨髓瘤中的低丙种球蛋白血症模式是异质性的。它们可能受M蛋白本身的影响,可能是通过与调节细胞的相互作用。此外,基因重排水平的因素也可能起作用。