Immunohistologic characterization of synovial membrane lymphocytes in rheumatoid arthritis.

Immunohistologic characterization of synovial membrane lymphocytes in rheumatoid arthritis.
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DOI:
10.1002/art.1780270106
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发表时间:
1984
影响因子:
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通讯作者:
Carol L. Young;T. C. Adamson;J. Vaughan;Robert I. Fox
Carol L. Young;T. C. Adamson;J. Vaughan;Robert I. Fox
中科院分区:
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文献类型:
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作者:
Carol L. Young;T. C. Adamson;J. Vaughan;Robert I. Fox

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用常规组织学染色和抗细胞表面抗原的单克隆抗体对15例类风湿关节炎患者的滑膜活检标本进行了检查。淋巴细胞浸润的三种模式被识别:1)T细胞弥漫性浸润,包围着生发中心B细胞簇(3例患者); 2)弥漫性T细胞浸润,缺乏生发中心(8例患者); 3)滑膜下成纤维细胞增殖,淋巴细胞相对较少(4例患者)。在每种模式中的滑膜、滑膜下和血管周围组织表现出高频率的HLA-DR抗原、HLA-DS抗原、转铁蛋白受体和/或表皮生长因子受体。与此相反,正常或骨关节炎滑膜组织没有显示这些抗原或受体的显着增加。携带自然杀伤抗原的细胞在这些模式中的每一种都不常见。活动性滑膜炎、滑膜积液、贫血和沉降率升高均存在于三种组织学类型的类风湿性关节炎患者中。这些单克隆抗体的滑膜浸润的免疫组织学特征提供了有关类风湿性关节炎发病机制的额外信息,并可能有助于预测对不同治疗方式的反应。
Synovial membrane biopsy specimens from 15 rheumatoid arthritis patients were examined using routine histologic stains and monoclonal antibodies directed against cell surface antigens. Three patterns of lymphoid cell infiltrates were recognized: 1) diffuse infiltration of T cells that surrounded clusters of germinal center B cells (3 patients); 2) diffuse T cell infiltration, lacking germinal centers (8 patients); and 3) proliferation of subsynovial fibroblasts, with relatively few lymphoid cells (4 patients). The synovial, subsynovial, and perivascular tissues in each of the patterns exhibited a high frequency of HLA-DR antigen, HLA-DS antigen, transferrin receptor, and/or epidermal growth factor receptor. In contrast, normal or osteoarthritic synovial tissues did not display a marked increase of these antigens or receptors. Cells bearing natural killer antigen were infrequent in each of these patterns. Active synovitis, synovial effusions, anemia, and elevated sedimentation rate were present in rheumatoid arthritis patients with each of the three histologic patterns. Immunohistologic characterization of synovial membrane infiltrates by these monoclonal antibodies provides additional information about pathogenesis of rheumatoid arthritis and may help in predicting responses to different therapeutic modalities.