RESUMEN
@#Abstract: Type I interferons play an important role in the pathogenesis of autoimmune diseases such as systemic lupus erythematosus (SLE). Monoclonal antibody shows therapeutic potential by blocking the signaling pathway. This study used recombinant human subunit 1 of the type I interferon receptor (IFNAR1) protein to immunize New Zealand white rabbits, and applied B cell cloning technology to screen and obtain rabbit parental antibodies. After humanization modification, QX006N was obtained. In vitro biological studies showed that QX006N could specifically bind to human IFNAR1 with an affinity of 108 pmol/L, and neutralize the type I interferon signaling pathway and this pathway mediated biological effects. This study provides a solid foundation for the development of antibody drugs targeting the type I interferon signaling pathway for the treatment of SLE.
RESUMEN
Antibody-antigen (Ab-Ag) interactions are canonically described by a model which exclusively accommodates non-interaction (0) or reproducible-interaction (RI) states, yet this model is inadequate to explain often-encountered non-reproducible signals. Here, by monitoring diverse experimental systems and confirmed COVID-19 clinical sera using a peptide microarray, we observed that non-specific interactions (NSI) comprise a substantial proportion of non-reproducible antibody-based results. This enabled our discovery and capacity to reliably identify non-reproducible Ab-Ag interactions (NRI), as well as our development of a powerful explanatory model ("0-RI-NRI-Hook four-state model") that is [mAb]-dependent, regardless of specificity, which ultimately shows that both NSI and NRI are not predictable yet certain-to-happen. In experiments using seven FDA-approved mAb drugs, we demonstrated the use of NSI counts in predicting epitope type. Beyond challenging the centrality of Ab-Ag interaction specificity data in serology and immunology, our discoveries also facilitated the rapid development of a serological test with uniquely informative COVID-19 diagnosis performance.