Evidence map›Paper›PMID 38792746›Full record

ArticleMicroorganisms2024

Synthetic Peptides Selected by Immunoinformatics as Potential Tools for the Specific Diagnosis of Canine Visceral Leishmaniasis.

Gabriel Moreira, Rodrigo Maia, Nathália Soares, Thais Ostolin, Wendel Coura-Vital, Rodrigo Aguiar-Soares, Jeronimo Ruiz, Daniela Resende, Rory de Brito, Alexandre Reis and 1 more

Abstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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  6. 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

11 authors.

Gabriel MoreiraLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.
Rodrigo MaiaLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.ORCID 0000-0003-3847-3949
Nathália SoaresLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.
Thais OstolinLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.
Wendel Coura-VitalDepartamento de Análises Clínicas, Escola de Farmácia, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.ORCID 0000-0002-1434-7676
Rodrigo Aguiar-SoaresLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.ORCID 0000-0001-8705-7357
Jeronimo RuizGrupo de Informática de Biossistemas e Genômica, Programa de Pós-Graduação em Ciências da Saúde, Instituto René Rachou, Fiocruz Minas, Belo Horizonte 30190-002, MG, Brazil.
Daniela ResendeGrupo de Informática de Biossistemas e Genômica, Programa de Pós-Graduação em Ciências da Saúde, Instituto René Rachou, Fiocruz Minas, Belo Horizonte 30190-002, MG, Brazil.
Rory de BritoLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.ORCID 0000-0002-7591-5331
Alexandre ReisLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.ORCID 0000-0001-8123-4164
Bruno RoattLaboratório de Imunopatologia, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, MG, Brazil.ORCID 0000-0001-5281-3263

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance Code 001Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-02511-22; APQ-02494-22; APQ-02045-23; APQ-02286-21; RED-00032-22National Council for Scientific and Technological Development 420912/2023-1
6 · The paper itself

Abstract

Diagnosing canine visceral leishmaniasis (CVL) in Brazil faces challenges due to the limitations regarding the sensitivity and specificity of the current diagnostic protocol. Therefore, it is urgent to map new antigens or enhance the existing ones for future diagnostic techniques. Immunoinformatic tools are promising in the identification of new potential epitopes or antigen candidates. In this study, we evaluated peptides selected by epitope prediction for CVL serodiagnosis in ELISA assays. Ten B-cell epitopes were immunogenic in silico, but two peptides (peptides No. 45 and No. 48) showed the best performance in vitro. The selected peptides, both individually and in combination, were highly diagnostically accurate, with sensitivities ranging from 86.4% to 100% and with a specificity of approximately 90%. We observed that the combination of peptides showed better performance when compared to peptide alone, by detecting all asymptomatic dogs, showing lower cross-reactivity in sera from dogs with other canine infections, and did not detect vaccinated animals. Moreover, our data indicate the potential use of immunoinformatic tools associated with ELISA assays for the selection and evaluation of potential new targets, such as peptides, applied to the diagnosis of CVL.

Indexed as

canine visceral leishmaniasisimmunoinformaticpeptides-based ELISAserological diagnosis

Identifiers

PMID38792746
PMCPMC11123790

What OpenQuestion holds

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LicenceCC BY
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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.