Rapid single-tier serodiagnosis of Lyme disease

Point-of-care serological and direct antigen testing offers actionable insights for diagnosing challenging illnesses, empowering distributed health systems. Here, we report a POC-compatible serologic test for Lyme disease (LD), leveraging synthetic peptides specific to LD antibodies and a paper-based platform for rapid, and cost-effective diagnosis. Antigenic epitopes conserved across Borrelia burgdorferi genospecies, targeted by IgG and IgM antibodies, are selected to develop a multiplexed panel for detection of LD antibodies from patient sera. Multiple peptide epitopes, when combined synergistically with a machine learning-based diagnostic model achieve high sensitivity without sacrificing specificity. Blinded validation with 15 LD-positive and 15 negative samples shows 95.5% sensitivity and 100% specificity. Blind testing with the CDC's LD repository samples confirms the test accuracy, matching lab-based two-tier results, correctly differentiating between LD and look-alike diseases. This LD diagnostic test could potentially replace the cumbersome two-tier testing, improving diagnosis and enabling earlier treatment while facilitating immune monitoring and surveillance.

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Publication Details

Journal
Nature Communications
Published
2024-08-20
DOI
https://doi.org/10.1038/s41467-024-51067-5
Citations
24
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
12.37

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article

Rapid single-tier serodiagnosis of Lyme disease

Aydogan Özcan, Barath Palanisamy, Hyou‐Arm Joung, Elizabeth J. Horn et al.
24 citations
Nature Communications
Vector-borne infectious diseases
12.37
article

Rapid single-tier serodiagnosis of Lyme disease

Aydogan Özcan, Barath Palanisamy, Hyou‐Arm Joung, Elizabeth J. Horn, Raymond J. Dattwyler, Kevin Ngo, Paul M. Arnaboldi, Dino Di Carlo, Omai B. Garner, Ezdehar Ghazal, Katarina Pejcinovic, Nicole Krockenberger, Andrew O’Kula, Artem Goncharov, Rajesh Ghosh
article en
24 citations

Abstract

Point-of-care serological and direct antigen testing offers actionable insights for diagnosing challenging illnesses, empowering distributed health systems. Here, we report a POC-compatible serologic test for Lyme disease (LD), leveraging synthetic peptides specific to LD antibodies and a paper-based platform for rapid, and cost-effective diagnosis. Antigenic epitopes conserved across Borrelia burgdorferi genospecies, targeted by IgG and IgM antibodies, are selected to develop a multiplexed panel for detection of LD antibodies from patient sera. Multiple peptide epitopes, when combined synergistically with a machine learning-based diagnostic model achieve high sensitivity without sacrificing specificity. Blinded validation with 15 LD-positive and 15 negative samples shows 95.5% sensitivity and 100% specificity. Blind testing with the CDC's LD repository samples confirms the test accuracy, matching lab-based two-tier results, correctly differentiating between LD and look-alike diseases. This LD diagnostic test could potentially replace the cumbersome two-tier testing, improving diagnosis and enabling earlier treatment while facilitating immune monitoring and surveillance.

Nature CommunicationsVol. 15(1)
California NanoSystems Institute (US), University of California, Los Angeles (US), New York Medical College (US), Biopeptide (United States) (US)
National Science Foundation, Bay Area Lyme Foundation, National Institutes of Health, Centers for Disease Control and Prevention
Good health and well-being
Openalex Percentile: Top 0%
Vector-borne infectious diseases
12.37
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