Suppr超能文献

皮肤淋巴细胞浸润中T细胞生长因子受体(Tac抗原)的表达

T-cell growth factor receptor (Tac-antigen) expression in cutaneous lymphoid infiltrates.

作者信息

Ralfkiaer E, Wantzin G L, Stein H, Thomsen K, Mason D Y

出版信息

J Am Acad Dermatol. 1986 Oct;15(4 Pt 1):628-37. doi: 10.1016/s0190-9622(86)70216-8.

Abstract

A total of ninety-four biopsies from normal skin, benign dermatoses, and lesions of human T cell lymphotropic virus type I (HTLV-I)-positive and -negative cutaneous T cell disorders have been examined immunohistologically for reactivity with anti-Tac (monoclonal anti-T cell growth factor receptor). Tac-positive T cells were plentiful in approximately half the specimens, and they were equally frequent in benign and malignant disorders and in HTLV-I-positive and -negative cutaneous T cell disorders. Furthermore, in diseased skin, reactivity with anti-Tac was not confined to T lymphocytes, since it was also a property of dermal macrophages and Langerhans cells, as shown by examination of serial and/or double-stained sections. Comparison with other markers linked to T cell activation and proliferation (i.e., HLA-DR, OKT10 antigen, transferrin receptor, and the Ki-67 nuclear antigen) showed that Tac-antigen expression did not correlate clearly with any of these markers. These data indicate that anti-Tac forms a useful supplement to other monoclonal antibodies for the identification of activated cell subsets in cutaneous lymphoid infiltrates, but they also show that the use of this reagent on cutaneous biopsy specimens is of only limited diagnostic value.

摘要

对取自正常皮肤、良性皮肤病以及人类T细胞嗜淋巴细胞病毒I型(HTLV-I)阳性和阴性皮肤T细胞疾病病变的总共94份活检标本进行了免疫组织学检查,以检测其与抗Tac(抗T细胞生长因子受体单克隆抗体)的反应性。在大约一半的标本中,Tac阳性T细胞数量丰富,在良性和恶性疾病以及HTLV-I阳性和阴性皮肤T细胞疾病中出现的频率相同。此外,在患病皮肤中,与抗Tac的反应性并不局限于T淋巴细胞,因为连续切片和/或双重染色切片检查显示,真皮巨噬细胞和朗格汉斯细胞也有这种反应性。与其他与T细胞活化和增殖相关的标志物(即HLA-DR、OKT10抗原、转铁蛋白受体和Ki-67核抗原)进行比较发现,Tac抗原表达与这些标志物中的任何一种均无明显相关性。这些数据表明,抗Tac可作为其他单克隆抗体的有益补充,用于识别皮肤淋巴浸润中的活化细胞亚群,但也表明在皮肤活检标本上使用该试剂的诊断价值有限。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验