A peptide-based ELISA for detection of antibodies against novel goose astrovirus type 1

Elsevier

Available online 7 November 2022, 114646

Journal of Virological MethodsHighlights•

A novel peptide (627–646aa) derived in ORF2 was used as an coating antigen in the pELISA.

The established pELISA showed efficient specificity and sensitivity for detection of antibodies against novel GAstV-1.

The pELISA provided a reliable tool for serological surveillance for the infection of GAstV-1.

ABSTRACT

Goose gout disease is a high morbidity and mortality disease caused by novel serotype 1 goose astrovirus (GAstV-1), which has resulted in huge economic loss to the goose industry of China. However, few diagnostic methods have been developed for serological surveillance of GAstV-1. In our previous study, several novel B cell epitopes were identified in the ORF2 protein of GAstV-1. In this study, one novel peptide of 627–646 aa in the ORF2 recognized by monoclonal antibody (mAb) 6C6 was used as an antigen to develop an efficient peptide-based ELISA (pELISA) for detection of antibodies against GAstV-1. Specificity analysis showed that the pELISA only reacted with sera against GAstV-1, but not with sera against other pathogens tested. The sensitivity of the pELISA in detecting positive sera was higher than that of the IFA (Indirect immunofluorescence assay). The coefficients of variation (CV) of the intra-assay and inter-assay were both <10%, indicating that the reproducibility of pELISA was good. For detection of clinical samples, the pELISA had 87.5% concordance with the IFA. Our data demonstrate that the pELISA generated here provides an accurate, rapid, and economical method for the detection antibodies against GAstV-1 for serological surveillance.

Keywords

Goose astrovirus type 1

ELISA

Synthetic peptide

Antibody

Detection

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