Designed IgM from glycoengineering

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

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-specific IgG and the associated sialic acid, yielding an accuracy of 90% in a powered study.

FINDINGS

It was demonstrated that immunoglobulin sialic acid levels increase during acute Lyme disease and following antibiotic therapy and a 3-month convalescence, the sialic acid level returned to that found in healthy control subjects (p < 0.001). Furthermore, the abundance of sialic acid on Bb-specific IgG during acute Lyme disease impaired the host's ability to combat Lyme disease via lymphocytic receptor FcγRIIIa signaling. After enzymatically removing the sialic acid present on Bb-specific antibodies, the induction of cytotoxicity from acute Lyme disease patient antigen-specific IgG was significantly improved.

INTERPRETATION

Taken together, Bb-specific immunoglobulins contain increased sialylation which impairs the host immune response during acute Lyme disease. Furthermore, this Bb-specific immunoglobulin sialyation found in acute Lyme disease begins to resolve following antibiotic therapy and convalescence.

FUNDING

Funding for this study was provided by the Coulter-Drexel Translational Research Partnership Program as well as from a Faculty Development Award from the Drexel University College of Medicine Institute for Molecular Medicine and Infectious Disease and the Department of Microbiology and Immunology.

Antibody glycosylation as a potential biomarker for chronic inflammatory autoimmune diseases

Glycosylation of immunoglobulins (Ig) is known to influence their effector functions in physiological and pathological conditions. Changes in the glycosylation pattern of immunoglobulin G and autoantibodies in various inflammatory autoimmune diseases have been studied for many years. However, despite extensive research, many questions are still elusive regarding the formation of such differentially glycosylated antibodies and alterations of glycosylation patterns in other immunoglobulin classes for example. Nevertheless, knowledge has been deepened greatly, especially in the field of rheumatoid arthritis. Changes of Ig glycosylation patterns have been shown to appear before onset of the disease and moreover can subject to treatment. In this review, we discuss the potential of detecting Ig glycosylation changes as biomarkers for disease activity or monitoring of patients with chronic inflammatory autoimmune diseases such as antiphospholipid syndrome, rheumatoid arthritis, systemic lupus erythematosus, ANCA-associated vasculitis and Henoch-Schönlein purpura.