bioRxiv : the preprint server for biology · 2024
An engineered human cardiac tissue model reveals contributions of systemic lupus erythematosus autoantibodies to myocardial injury.
ПрепринтСтатьяНазвание и аннотация: Перевод в очереди
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Fleischer Sharon, Nash Trevor R, Tamargo Manuel A, Lock Roberta I, Venturini Gabriela, Morsink Margaretha, Li Vanessa, Lamberti Morgan J, Graney Pamela L, Liberman Martin, Kim Youngbin, Zhuang Richard Z, Whitehead Jaron, Friedman Richard A, Soni Rajesh K, Seidman Jonathan G, Seidman Christine E, Geraldino-Pardilla Laura, Winchester Robert, Vunjak-Novakovic Gordana
Аннотация
Systemic lupus erythematosus (SLE) is a highly heterogenous autoimmune disease that affects multiple organs, including the heart. The mechanisms by which myocardial injury develops in SLE, however, remain poorly understood. Here we engineered human cardiac tissues and cultured them with IgG fractions containing autoantibodies from SLE patients with and without myocardial involvement. We observed unique binding patterns of IgG from two patient subgroups: (i) patients with severe myocardial inflammation exhibited enhanced binding to apoptotic cells within cardiac tissues subjected to stress, and (ii) patients with systolic dysfunction exhibited enhanced binding to the surfaces of viable cardiomyocytes. Functional assays and RNA sequencing (RNA-seq) revealed that IgGs from patients with systolic dysfunction exerted direct effects on engineered tissues in the absence of immune cells, altering tissue cellular composition, respiration and calcium handling. Autoantibody target characterization by phage immunoprecipitation sequencing (PhIP-seq) confirmed distinctive IgG profiles between patient subgroups. By coupling IgG profiling with cell surface protein analyses, we identified four pathogenic autoantibody candidates that may directly alter the function of cells within the myocardium. Taken together, these observations provide insights into the cellular processes of myocardial injury in SLE that have the potential to improve patient risk stratification and inform the development of novel therapeutic strategies.