Evidence map›Paper›PMID 39448680›Full record

ArticleScientific reports2024

A comprehensive and single-use foot-and-mouth disease sero-surveillance prototype employing rationally designed multiple viral antigens.

Anamica Hossain, K M Mazharul Alam, Salma Akter, M Anwar Hossain, Munawar Sultana

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anamica HossainDepartment of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
K M Mazharul AlamDepartment of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
Salma AkterDepartment of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
M Anwar HossainDepartment of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
Munawar SultanaDepartment of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh. munawar@du.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foot-and-mouth disease (FMD) is a great havoc in agri-business-based countries like Bangladesh, for which existing detection system limits the identification and differentiation of serotypes. In this study, an engineered platform was introduced incorporating serotype-specific FMDV VP1 (structural), serotype-independent VP2 (structural) and 3AB (non-structural) proteins for holistic detection. VP1 sequences were engineered combining sequences of BAN/TA/Dh-301/2016 (serotype O), BAN/CH/Sa-304/2016 (serotype A) and BAN/DH/Sa-318/2016 (serotype Asia1). Consensus 3AB sequence was constructed from the selected prevalent viral genomes. Both VP1 and 3AB along with designed VP2 sequences were optimized for codon usage bias, stable mRNA, secondary and tertiary protein structure. Proteins were synthesized in pET-21a ( +) plasmid vector followed by transformation of Escherichia coli BL21(DE3) and IPTG-induced- expression. The western blot analysis of engineered proteins showed that purified VP1 prominently bound to anti-VP1 antibodies in vaccinated sera, whereas 3AB and VP2 bound anti-3AB and anti-VP2 antibodies, respectively from infected cattle sera, all previously collected during epidemiological investigation. Furthermore, dot blot hybridization confirmed efficient antibody capture ability of the membrane-immobilized proteins. This holistic diagnostic platform justifies a comprehensive prototype diagnostic kit that would be cost-effective and efficient for serotype specific and non-specific FMDV sero-surveillance.

Indexed as

Antigens, ViralFoot-and-Mouth DiseaseFoot-and-Mouth Disease VirusAnimalsAntibodies, ViralCapsid ProteinsCattleCattle DiseasesSerogroupAntibodies, ViralAntigens, ViralCapsid ProteinsVP1 protein, Foot-and-mouth disease virusDiagnosisFMDVHeterologous expressionNonstructural proteinStructural proteinWestern blot

Identifiers

PMID39448680
PMCPMC11502911

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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.