RESUMO
Foot-and-mouth disease (FMD) is an acute, highly contagious, and economically devastating viral disease of domestic and wildlife species. For effective implementation of FMD control program, there is an imperative need for developing a rapid, sensitive, and specific diagnostics which help in the identification of serotypes involved in the outbreaks. The humoral immune response of the Camelidae is unique since in these animals 75% of circulating antibodies are constituted by heavy-chain antibodies and 25% are conventional immunoglobulin with two identical heavy chains. In the present study, we developed and characterized FMD virus-specific single-domain heavy-chain antibodies (VHHs) against inactivated whole-virus antigens of FMDV serotypes O (INDR2/1975), A (IND40/2000), and Asia 1 (IND63/1972) vaccine strains. After six rounds of panning and enrichment, these VHHs were stably expressed in Escherichia coli cells. The VHHs directed against outer capsid proteins of FMD virus were successfully utilized as the capture antibody in liquid-phase blocking ELISA (LPBE) thus replacing rabbit coating antibodies. Our study demonstrated the utility of FMD virus-specific VHHs as potential candidates in FMD research and diagnostic application.
Assuntos
Anticorpos Antivirais/imunologia , Especificidade de Anticorpos , Camelus/imunologia , Vírus da Febre Aftosa/imunologia , Febre Aftosa/diagnóstico , Anticorpos de Domínio Único/imunologia , Animais , Proteínas do Capsídeo/imunologia , Ensaio de Imunoadsorção Enzimática/veterinária , Escherichia coli/genética , Escherichia coli/metabolismo , Febre Aftosa/virologia , Masculino , Especificidade da EspécieRESUMO
Therapeutic antibodies must encompass drug product suitable attributes to be commercially marketed. An undesirable antibody characteristic is the propensity to aggregate. Although there are computational algorithms that predict the propensity of a protein to aggregate from sequence information alone, few consider the relevance of the native structure. The Spatial Aggregation Propensity (SAP) algorithm developed by Chennamsetty et. al. incorporates structural and sequence information to identify motifs that contribute to protein aggregation. We have utilized the algorithm to design variants of a highly aggregation prone IgG2. All variants were tested in a variety of high-throughput, small-scale assays to assess the utility of the method described herein. Many variants exhibited improved aggregation stability whether induced by agitation or thermal stress while still retaining bioactivity.