Abstract

Detecting autoimmune diseases at an early stage is crucial for effective treatment and disease management to slow disease progression and prevent irreversible organ damage. In many autoimmune diseases, disease-specific autoantibodies are produced by B cells in response to soluble autoantigens due to defects in B cell tolerance mechanisms. Autoantibodies accrue early in disease development, and several are so disease-specific they serve as classification criteria. In this study, we established a high-throughput, sensitive, intact serum autoantibody analysis platform based on the optimization of a one dimensional ultra-high-pressure liquid chromatography top-down mass spectrometry platform (1D UPLC-TDMS). This approach has been successfully applied to a 12 standard monoclonal antibody antigen-binding fragment (Fab) mixture, demonstrating the feasibility to separate and sequence intact antibodies with high sequence coverage and high sensitivity. We then applied the optimized platform to characterize total serum antibody Fabs in a systemic lupus erythematosus (SLE) patient sample and compared it to healthy control samples. From this analysis, we show that the SLE sample has many dominant antibody Fab-related mass features unlike the healthy controls. To our knowledge, this is the first top-down demonstration of serum autoantibody pool analysis. Our proposed approach holds great promise for discovering novel serum autoantibody biomarkers that are of interest for diagnosis, prognosis, and tolerance induction, as well as improving our understanding of pathogenic autoimmune processes.

Highlights

  • Which sequences are specific to an antigen of interest

  • We applied the optimized platform to characterize serum autoantibody Fabs in a systemic lupus erythematosus (SLE) patient sample compared to healthy control samples, showing that 86 dominant antibody Fab related mass features are observed in the SLE sample, which is the first top-down demonstration of a serum autoantibody pool analysis

  • Our results demonstrate that the developed UPLC-TD-HRMS platform is capable of separating and characterizing antibody Fab mixtures with high similarities, which can be applied to analyze enriched Fabs from human serum samples

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Summary

Introduction

Which sequences are specific to an antigen of interest. to elucidate functionally relevant autoantibodies that mediate autoimmune responses, protein-level characterization of autoantibodies in the patient serum (i.e., proteomics) is needed to precisely determine which of these autoantibody clones are predictive of autoimmune disease progression. We optimized an automatic single-dimension RPLC platform through a custom-modified ultra-high pressure LC system (UPLC, maximum pressure 14,000 psi, operation pressure 10,000 psi) to improve the separation of highly homologous autoantibodies (i.e., intact Fab, light chain and heavy chain of the Fab portion) in serum samples. We here chose 280 minutes as the gradient time (10–70% of mobile phase B) for the separation of 12-Fab mixture and Fab fragments enriched from human serum samples.

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