2021Journal of Clinical MicrobiologyOpen access

Serologic Response toBorreliaAntigens Varies with Clinical Phenotype in Children and Young Adults with Lyme Disease

Felix A. Radtke, Nitya S. Ramadoss, Aris Garro, Jonathan E. Bennett, Michael N. Levas, William H. Robinson, Peter A. Nigrović, Lise E. Nigrovic

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Abstract

-specific IgG. By principal-component analysis, children with early disseminated and late Lyme disease clustered separately from clinical mimics and also from each other. Neurological disease and arthritis exhibited distinct serologic responses, with OspC variants overrepresented in neurological disease and p100, BmpA, p58, and p45 overrepresented in arthritis. Machine learning identified a 3-antigen panel (VlsE_Bb, p41_Bb, and OspC_Bafz) that distinguished Lyme disease from clinical mimics with a sensitivity of 86.6% (95% confidence interval [CI], 80.3 to 92.1) and a specificity of 95.5% (95% CI, 93.4 to 97.4). Sensitivity was much lower in early Lyme disease (38.5%; 95% CI, 15.4 to 69.2). Interestingly, 17 children classified as Lyme mimics had a positive 3-antigen panel, suggesting that more comprehensive serologic analysis could help refine Lyme diagnosis. In conclusion, multiplex antigen panels provide a novel approach to understanding the immune response in Lyme disease, potentially helping to facilitate accurate diagnosis and to understand differences between clinical stages.

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What this paper is about

-specific IgG. By principal-component analysis, children with early disseminated and late Lyme disease clustered separately from clinical mimics and also from each other. Neurological disease and arthritis exhibited distinct serologic responses, with OspC variants overrepresented in neurological disease and p100, BmpA, p58, and p45 overrepresented in arthritis. Machine learning identified a 3-antigen panel (VlsE_Bb, p41_Bb, and OspC_Bafz) that distinguished Lyme disease from clinical mimics with a sensitivity of 86.6% (95% confidence interval [CI], 80.3 to 92.1) and a specificity of 95.5% (95% CI, 93.4 to 97.4). Sensitivity was much lower in early Lyme disease (38.5%; 95% CI, 15.4 to 69.2). Interestingly, 17 children classified as Lyme mimics had a positive 3-antigen panel, suggesting that more comprehensive serologic analysis could help refine Lyme diagnosis. In conclusion, multiplex antigen panels provide a novel approach to understanding the immune response in Lyme disease, potentially helping to facilitate accurate diagnosis and to understand differences between clinical stages.

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Available abstract

-specific IgG. By principal-component analysis, children with early disseminated and late Lyme disease clustered separately from clinical mimics and also from each other. Neurological disease and arthritis exhibited distinct serologic responses, with OspC variants overrepresented in neurological disease and p100, BmpA, p58, and p45 overrepresented in arthritis. Machine learning identified a 3-antigen panel (VlsE_Bb, p41_Bb, and OspC_Bafz) that distinguished Lyme disease from clinical mimics with a sensitivity of 86.6% (95% confidence interval [CI], 80.3 to 92.1) and a specificity of 95.5% (95% CI, 93.4 to 97.4). Sensitivity was much lower in early Lyme disease (38.5%; 95% CI, 15.4 to 69.2). Interestingly, 17 children classified as Lyme mimics had a positive 3-antigen panel, suggesting that more comprehensive serologic analysis could help refine Lyme diagnosis. In conclusion, multiplex antigen panels provide a novel approach to understanding the immune response in Lyme disease, potentially helping to facilitate accurate diagnosis and to understand differences between clinical stages.

Key concepts: Lyme disease, Borrelia, Serology, Spirochaetaceae, Borrelia burgdorferi, Antigen, Immunology, Biology

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Serologic Response toBorreliaAntigens Varies with Clinical Phenotype in Children and Young Adults with Lyme Disease — Research Paper | ScholarLens