Academic Journal
Rapid single-tier serodiagnosis of Lyme disease
| العنوان: | Rapid single-tier serodiagnosis of Lyme disease |
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| المؤلفون: | Rajesh Ghosh, Hyou-Arm Joung, Artem Goncharov, Barath Palanisamy, Kevin Ngo, Katarina Pejcinovic, Nicole Krockenberger, Elizabeth J. Horn, Omai B. Garner, Ezdehar Ghazal, Andrew O’Kula, Paul M. Arnaboldi, Raymond J. Dattwyler, Aydogan Ozcan, Dino Di Carlo |
| المصدر: | Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024) |
| بيانات النشر: | Nature Portfolio, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Science |
| مصطلحات موضوعية: | Science |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2041-1723 07849168 |
| Relation: | https://doaj.org/toc/2041-1723 |
| DOI: | 10.1038/s41467-024-51067-5 |
| URL الوصول: | https://doaj.org/article/5701891b0a5b42b8b0784916838600f0 |
| رقم الانضمام: | edsdoj.5701891b0a5b42b8b0784916838600f0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20411723 07849168 |
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| DOI: | 10.1038/s41467-024-51067-5 |