ReviewFrontiers in immunology2026
Inter-assay variability in anti-JC virus serology in the era of natalizumab biosimilars: implications for PML risk stratification.
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Anti-John Cunningham virus (JCV) serological testing constitutes a cornerstone of progressive multifocal leukoencephalopathy (PML) risk assessment in patients receiving natalizumab for multiple sclerosis (MS). Existing PML risk stratification algorithms were originally developed and validated within a single-assay framework based on the STRATIFY JCV™ DxSelect™ platform. The recent introduction of natalizumab biosimilars in Europe has coincided with implementation of IMMUNOWELL™ JCV IgG assay, creating a multi-assay environment in which quantitative antibody index values and binary serostatus classifications may not be directly interchangeable. We conducted a structured narrative review of comparative studies evaluating STRATIFY and IMMUNOWELL performance in natalizumab-treated cohorts. Outcomes included seroprevalence, qualitative concordance, quantitative index distribution, reclassification across established PML risk categories, and reported changes in clinical management. Across analytical validation datasets and real-world populations, IMMUNOWELL classified a higher proportion of individuals as JCV-positive than STRATIFY. Reported binary discordance ranged from approximately 6% to 38%, with a predominance of IMMUNOWELL-positive/STRATIFY-negative classifications. Longitudinal studies further showed that many low-positive IMMUNOWELL results fluctuated or reverted over time. The available evidence suggests that the transition from a mono-assay to a multi-assay testing environment introduces a previously underrecognized source of variability in PML risk stratification. In the absence of a biological gold standard for latent JCV infection, interpretation of discordant results should integrate antibody magnitude, longitudinal persistence, and clinical context rather than relying on binary thresholds.
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