Poster Presentation Lancefield International Symposium for Streptococci and Streptococcal Diseases 2025

Improved detection of lymphocyte markers associated with rheumatic fever using engineered antibodies and multi-omics (#210)

Chad W Euler 1 2 , Patricia A Ryan 3 , Judith M Martin 4 , Vincent A Fischetti 3
  1. Medical Laboratory Sciences, Hunter College, The City University of New York, New York, NY, United States
  2. Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, United States
  3. Laboratory of Bacterial Pathogenesis and Immunology, The Rockefeller University, New York, NY, United States
  4. Department of Pediatrics, Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, United States

Rheumatic fever (RF) is an autoimmune complication that can arise in some patients following inadequately treated strep throat infections. It may progress to rheumatic heart disease, a major cause of preventable cardiovascular morbidity and mortality in children, impacting over 40 million people worldwide. Identifying children at risk for developing RF, estimated at 3-5% of the population, presents significant global health and economic opportunities.

A promising approach for identifying RF susceptibility involves the mouse IgM antibody D8/17. This antibody binds more effectively to B-cells from RF patients than to those from controls across various ethnicities and regions. However, mixed results have hindered its development as a diagnostic tool, and the specific antigen targeted by D8/17 remains unidentified. To improve testing efficacy, we employed recombinant engineering to create new IgM and IgG1 variants of D8/17. These derivatives were more reliable in our flow cytometry and in vitro assays, suggesting they may be better diagnostic reagents.

We utilized these recombinant antibodies in multi-omics analyses to investigate the differences between immortalized B-cell lines derived from RF patients and control subjects. Western blot and MS/MS proteomic techniques identified cytoskeletal proteins in RF B-cells that exhibited increased reactivity with our recombinant variants. RNA sequencing supported these findings and revealed variations in gene expression of B-cell surface proteins, kinases, and signaling pathways among different D8/17 FACS populations of RF patient B-cells compared to controls. Overall, our analyses aim to identify markers or genetic factors associated with RF development and contribute to advancing diagnostic tools for RF susceptibility.