Virus-like particle (VLP)-based indirect ELISA (iELISA) for the detection of beak and feather disease virus (BFDV) antibodies

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Authors: Pangkaj Kumar Dhar, Tridip Das, Babu Kanti Nath, Prabal Kumar Chowdhury, Andrew Peters, Jade Kenneth Forwood, Shane Robert Raidal, Shubhagata Das
Cited by: 1
References: 71

Abstract

Beak and feather disease virus (BFDV) poses a significant threat to avian biodiversity and global aviculture. Reliable serodiagnostic tools are critical for assessing host immune status and guiding disease management. The haemagglutination inhibition (HI) assay, although historically regarded as the gold standard, is limited by technical complexity and its reliance on seropositive Galah erythrocytes, restricting broader application. This study describes the development and validation of a recombinant BFDV capsid protein-based indirect enzyme-linked immunosorbent assay (iELISA) for detecting anti-BFDV antibodies using dried blood spots from multiple psittacine species. The assay demonstrated high sensitivity and strong analytical performance, employing virus-like particles (VLPs) recombinantly expressed in Escherichia coli. Optimisation of the diagnostic cut-off by two-graph receiver operating characteristic (TG-ROC) analysis established an OD threshold of 1.73, achieving 96.5% sensitivity with a Youden's index of 0.74. Discriminative capacity was further supported by receiver operating characteristic (ROC) analysis, yielding an area under the curve (AUC) of 0.896. Agreement with the HI assay was very strong (Gwet's Agreement Coefficient 1= 0.843). This iELISA represents a scalable and universal serodiagnostic tool, supporting clinical diagnosis, enabling large-scale epidemiological investigations, and advancing conservation-focused BFDV surveillance. KEY POINTS: Efficient detection of anti-BFDV antibodies in psittacines using recombinant capsid protein as coating antigen. Use of TG-ROC curve to determine cut-off value supported by Gwet's Agreement Coefficient 1. Easily adaptable method with very high sensitivity in detecting anti-BFDV antibodies.

Fields of Study & Subjects

Animal Virus Infections Studies Virology and Viral Diseases Biosensors and Analytical Detection

Publication details

Journal / source
Applied Microbiology and Biotechnology
Publisher
Springer Science and Business Media LLC
Volume
110
Issue
1
Pages
33–33
Publication date
23 January 2026
Language
EN