Department of Clinical Microbiology, Virology, Umeå University, SE-901 85, Umeå, Sweden.
Laboratory Medicine, Clinical Microbiology, Umeå University Hospital, Umeå, Sweden.
BMC Infect Dis. 2019 Feb 14;19(1):164. doi: 10.1186/s12879-019-3769-x.
Herpes simplex virus type 1 (HSV1), establishes life-long latency and can cause symptoms during both first-time infection and later reactivation. The aim of the present study was to describe a protocol to generate a reliable and discriminative avidity index (AI) for anti-HSV1 IgG content in human sera.
Human serum from two distinct cohorts; one a biobank collection (Betula) (n = 28), and one from a clinical diagnostics laboratory at Northern Sweden University Hospital (NUS) (n = 18), were assessed for presence of IgG antibodies against HSV1 by a commercially available ELISA-kit. Addition of urea at the incubation step reduces effective binding, and the ratio between urea treated sample and non-treated sample was used to express an avidity index (AI) for individual samples.
AI score ranged between 43.2 and 73.4% among anti-HSV1 positive biobank sera. Clinical samples ranged between 36.3 and 74.9%. Reproducibility expressed as an intraclass correlation coefficient (ICC) was estimated at 0.948 (95% CI: 0.900-0.979) and 0.989 (95% CI 0.969-0.996) in the biobank and clinical samples, respectively.
The method allows for AI scoring of anti-HSV1 IgG from individual human sera with a single measurement. The least significant change between two measurements at the p < 0.05 level was estimated at 5.4 and 3.2 points, respectively, for the two assessed cohorts.
单纯疱疹病毒 1 型（HSV1）建立终身潜伏，并可在初次感染和后期再激活时引起症状。本研究旨在描述一种可靠且具有鉴别力的抗 HSV1 IgG 含量亲和力指数（AI）生成方案。
使用商业 ELISA 试剂盒，评估来自两个不同队列的人血清中针对 HSV1 的 IgG 抗体的存在：一个是生物库采集（Betula）（n=28），另一个是来自瑞典北部大学医院（NUS）临床诊断实验室的（n=18）。孵育步骤中添加尿素会降低有效结合，尿素处理样品与未处理样品的比值用于表示个体样品的亲和力指数（AI）。
抗 HSV1 阳性生物库血清的 AI 评分范围为 43.2%至 73.4%。临床样本范围为 36.3%至 74.9%。以组内相关系数（ICC）表示的重复性分别在生物库和临床样本中估计为 0.948（95%CI：0.900-0.979）和 0.989（95%CI 0.969-0.996）。
该方法允许使用单次测量对个体人血清中的抗 HSV1 IgG 进行 AI 评分。两个评估队列的两次测量之间的最小有意义变化估计分别为 5.4 和 3.2 分。
