Host glycosylation of immunoglobulins impairs the immune response to acute Lyme disease.

ABSTRACT:

Background

Lyme disease is caused by the bacteria Borreliella burgdorferi sensu lato (Bb) transmitted to humans from the bite of an infected Ixodes tick. Current diagnostics for Lyme disease are insensitive at the early disease stage and they cannot differentiate between active infections and people with a recent history of antibiotic-treated Lyme disease.

Methods

Machine learning technology was utilized to improve the prediction of acute Lyme disease and identify sialic acid and galactose sugar structures (N-glycans) on immunoglobulins associated specifically at time points during acute Lyme disease time. A plate-based approach was developed to analyze sialylated N-glycans associated with anti-Bb immunoglobulins. This multiplexed approach quantitates the abundance of Bb-spe

SUBMITTER: Haslund-Gourley BS 

PROVIDER: S-EPMC10818078 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature