Urea dilution of serum for reproducible anti-HSV1 IgG avidity index

Background: 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...

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Bibliographic Details
Published in:BMC Infectious Diseases
Main Authors: Olsson, Jan, Johansson, Jörgen, Honkala, Emma, Blomqvist, Bert, Kok, Eloise, Weidung, Bodil, Lovheim, Hugo, Elgh, Fredrik
Format: Article in Journal/Newspaper
Language:English
Published: Uppsala universitet, Geriatrik 2019
Subjects:
IgG
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-378996
https://doi.org/10.1186/s12879-019-3769-x
Description
Summary:Background: 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. Methods: 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. Results: 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. Conclusion: 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.