Identification of reactive <i>Borrelia burgdorferi</i> peptides associated with Lyme disease.

ABSTRACT: Borrelia burgdorferi, the agent of Lyme disease, is estimated to cause >400,000 annual infections in the United States. Serology is the primary laboratory method to support the diagnosis of Lyme disease, but current methods have intrinsic limitations that require alternative approaches or targets. We used a high-density peptide array that contains >90,000 short overlapping peptides to catalog immunoreactive linear epitopes from >60 primary antigens of B. burgdorferi. We then pursued a machine learning approach to identify immunoreactive peptide panels that provide optimal Lyme disease serodiagnosis and can differentiate antibody responses at various stages of disease. We examined 226 serum samples from the Lyme Biobank and the National Institutes of Health, which included ser

SUBMITTER: Tokarz R 

PROVIDER: S-EPMC11481556 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature