Tebo Anne E
Department of Pathology, University of Utah School of Medicine and ARUP Laboratories, Salt Lake City, Utah, USA
Clin Vaccine Immunol. 2017 Dec 5;24(12). doi: 10.1128/CVI.00270-17. Print 2017 Dec.
The presence of antinuclear antibodies (ANAs) is a hallmark of a number of systemic autoimmune rheumatic diseases, and testing is usually performed as part of the initial diagnostic workup when suspicion of an underlying autoimmune disorder is high. The indirect immunofluorescence antibody (IFA) technique is the preferred method for detecting ANAs, as it demonstrates binding to specific intracellular structures within the cells, resulting in a number of staining patterns that are usually categorized based on the cellular components recognized and the degree of binding, as reflected by the fluorescence intensity or titer. As a screening tool, the ANA patterns can guide confirmatory testing useful in elucidating a specific clinical diagnosis or prognosis. However, routine use of ANA IFA testing as a global screening test is hampered by its labor-intensiveness, subjectivity, and limited diagnostic specificity, among other factors. This review focuses on current efforts to standardize the nomenclature of ANA patterns and on alternative methods for ANA determination, as well as on recent advances in image-based computer algorithms to automate IFA testing in clinical laboratories.
抗核抗体(ANA)的存在是多种系统性自身免疫性风湿疾病的标志,当高度怀疑存在潜在自身免疫性疾病时,检测通常作为初始诊断检查的一部分进行。间接免疫荧光抗体(IFA)技术是检测ANA的首选方法,因为它能显示与细胞内特定细胞结构的结合,产生多种染色模式,这些模式通常根据所识别的细胞成分和结合程度进行分类,结合程度通过荧光强度或滴度反映出来。作为一种筛查工具,ANA模式可指导有助于明确特定临床诊断或预后的确诊检测。然而,由于其劳动强度大、主观性强以及诊断特异性有限等因素,常规将ANA IFA检测用作全面筛查试验受到阻碍。本综述重点关注当前在规范ANA模式命名方面所做的努力、ANA测定的替代方法,以及基于图像的计算机算法在临床实验室实现IFA检测自动化方面的最新进展。