Evidence map›Paper›PMID 38904698›Full record

ArticleMolecular biology reports2024

Interfering factors in the diagnosis of Senecavirus A.

Antônio Augusto Fonseca Júnior, Mateus Laguardia-Nascimento, Aline Aparecida Silva Barbosa, Valdenia Lopes da Silva Gonçalves, Marcelo Fernandes Camargos

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Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Antônio Augusto Fonseca JúniorLaboratório Federal de Defesa Agropecuária de Minas Gerais, Pedro Leopoldo, Minas Gerais, Brazil. antonio.fonseca@agro.gov.br.
Mateus Laguardia-NascimentoLaboratório Federal de Defesa Agropecuária de Minas Gerais, Pedro Leopoldo, Minas Gerais, Brazil.
Aline Aparecida Silva BarbosaLaboratório Federal de Defesa Agropecuária de Minas Gerais, Pedro Leopoldo, Minas Gerais, Brazil.
Valdenia Lopes da Silva GonçalvesLaboratório Federal de Defesa Agropecuária de Minas Gerais, Pedro Leopoldo, Minas Gerais, Brazil.
Marcelo Fernandes CamargosLaboratório Federal de Defesa Agropecuária de Minas Gerais, Pedro Leopoldo, Minas Gerais, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSenecavirus A (SV-A) is an RNA virus that belongs to the genus Senecavirus within the family Picornaviridae. This study aimed to analyze factors that can influence the molecular diagnosis of Senecavirus A, such as oligonucleotides, RNA extraction methods, and RT-qPCR kits.

methodsSamples from suspected cases of vesicular disease in Brazilian pigs were analyzed for foot-and-mouth disease, swine vesicular disease, and vesicular stomatitis. All tested negative for these diseases but positive for SV-A. RT-qPCR tests were used, comparing different reagent kits and RNA extraction methods. Sensitivity and repeatability were evaluated, demonstrating efficacy in detecting SV-A in clinical samples.

resultsIn RNA extraction, significant reduction in Cq values was observed with initial dilutions, particularly with larger supernatant volumes. Trizol and Maxwell showed greater sensitivity in automated equipment protocols, though results varied in tissue tests. RT-qPCR kit comparison revealed differences in amplification using viral RNA but minimal differences with plasmid DNA. Sensitivity among methods was comparable, with slight variations in non-amplified samples. Repeatability tests showed consistent results among RT-qPCRs, demonstrating similarity between methods despite minor discrepancies in Cq values.

conclusionsTrizol, silica columns, and semi-automated extraction were compared, as well as different RT-qPCR kits. The study found significant variations that could impact the final diagnosis.

Indexed as

PicornaviridaePicornaviridae InfectionsRNA, ViralSwine DiseasesAnimalsBrazilFoot-and-Mouth DiseaseReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificitySwineSwine Vesicular DiseaseRNA, ViralDiagnosticOligonucleotidesRNA extractionRT-qPCRSenecavirus A

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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.