Evidence map›Paper›PMID 41577812›Full record

ArticleApplied microbiology and biotechnology2026

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

Pangkaj K Dhar, Tridip Das, Babu K Nath, Prabal Chowdhury, Andrew Peters, Jade K Forwood, Shane R Raidal, Shubhagata Das

Erratum issuedAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Pangkaj K DharSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW-2678, Australia. pdhar@csu.edu.au.ORCID http://orcid.org/0000-0002-9595-9980
Tridip DasSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW-2678, Australia.ORCID http://orcid.org/0000-0001-5642-4150
Babu K NathBiosecurity Research Program and Training Centre, Gulbali Institute, Charles Sturt University, Wagga Wagga, NSW-2678, Australia.ORCID http://orcid.org/0000-0003-3620-1181
Prabal ChowdhuryAsia Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC-3010, Australia.ORCID http://orcid.org/0000-0003-2231-7087
Andrew PetersSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW-2678, Australia.ORCID http://orcid.org/0000-0003-4938-2823
Jade K ForwoodSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW-2678, Australia.ORCID http://orcid.org/0000-0003-3267-9997
Shane R RaidalMelbourne Veterinary School, Faculty of Science, The University of Melbourne, Werribee, VIC-3030, Australia.ORCID http://orcid.org/0000-0001-7917-8976
Shubhagata DasSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW-2678, Australia. sdas@csu.edu.au.ORCID http://orcid.org/0000-0003-0795-2752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Antibodies, ViralBird DiseasesCircoviridae InfectionsCircovirusAnimalsCapsid ProteinsEnzyme-Linked Immunosorbent AssayEscherichia coliPsittaciformesRecombinant ProteinsSensitivity and SpecificitySerologic TestsAntibodies, ViralCapsid ProteinsRecombinant ProteinsBFDVIndirect ELISAPsittacineSerodiagnosisTG-ROC

Identifiers

PMID41577812
PMCPMC12831674

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.