抗体在炎性疾病诊断和治疗中作为细胞因子发现和使用的工具。

IF 2.2 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jo Van Damme, Ghislain Opdenakker, Sam Van Damme, Sofie Struyf
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引用次数: 1

摘要

来自患者的多克隆抗血清已成为自身免疫性疾病的基础,如今单克隆抗体已广泛应用于癌症和许多炎症性疾病的治疗。抗血清和抗体结合传统的体外和体内生物测试系统如何成为发现新细胞因子的工具性试剂,这里说明了白细胞介素-1、-6和-8。此外,广泛使用的免疫检测/定量系统,如elisa和多重检测,基于多克隆或单克隆抗体的使用,经常充满误解,因为结果受到分析物可能发生的翻译后修饰(PTMs)的影响。细胞因子和趋化因子在体内以具有不同氨基端或羧基端或携带异质聚糖链的蛋白质形式的混合物存在,也可能受到瓜氨酸化、热谷氨酰胺化和其他PTMs的影响。对抗体(交叉)与细胞因子配体反应的特异性认识的增加,改善了许多疾病的诊断和治疗,包括癌症相关炎症,在前线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antibodies as tools in cytokine discovery and usage for diagnosis and therapy of inflammatory diseases.

Polyclonal antisera from patients have been at the basis of the description of autoimmune diseases and today monoclonal antibodies are widely used in the therapy of cancer and many inflammatory diseases. How antisera and antibodies in combination with traditional in vitro and in vivo biological test systems have been instrumental reagents for the discovery of new cytokines is illustrated here for interleukin-1, -6 and -8. Furthermore, widely used immunological detection/quantification systems, such as ELISAs and multiplex assays, based on the use of either polyclonal or monoclonal antibodies, are often fraught with misinterpretations, because the results are affected by the possible occurrence of posttranslational modifications (PTMs) of the analytes. Cytokines and chemokines are present in vivo as mixtures of proteoforms with different amino- or carboxytermini or carrying heterogeneous glycan chains and possibly also being subject to citrullination, pyroglutamination and other PTMs. Increased knowledge about the specificities of antibody (cross)reactivities with cytokine ligands have improved diagnosis and treatment of many diseases, with inflammatory processes, including cancer-associated inflammation, at the frontline.

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来源期刊
European cytokine network
European cytokine network 生物-免疫学
CiteScore
5.70
自引率
0.00%
发文量
5
审稿时长
6 months
期刊介绍: The journal that brings together all areas of work involving cytokines. European Cytokine Network is an electronic journal that publishes original articles and abstracts every quarter to provide an essential bridge between researchers and clinicians with an interest in this cutting-edge field. The journal has become a must-read for specialists in the field thanks to its swift publication and international circulation. The journal is referenced in several databases, including Medline, which is testament to its scientific quality.
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