Evidence map›Paper›PMID 36053342›Full record

ArticleJournal, genetic engineering & biotechnology2022

In silico designing of a recombinant multi-epitope antigen for leprosy diagnosis.

Marcela Rezende Lemes, Thaís Cristina Vilela Rodrigues, Arun Kumar Jaiswal, Sandeep Tiwari, Helioswilton Sales-Campos, Leonardo Eurípedes Andrade-Silva, Carlo Jose Freire Oliveira, Vasco Azevedo, Virmondes Rodrigues, Siomar C Soares and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Frontiers in immunology · 2024
    Article
  7. Article
  8. Qua vadis leprosy?The Indian journal of medical research · 2023
    Article
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 at 4 institutions in 1 country.

Marcela Rezende Lemes *Department of Immunology, Microbiology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, 38025-180, Brazil.
Thaís Cristina Vilela Rodrigues *Laboratory of Cellular and Molecular Genetics (LGCM) Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences,, Federal University of Minas Gerais (UFMG), MG, 31270-901, Belo Horizonte, Brazil.
Arun Kumar JaiswalDepartment of Immunology, Microbiology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, 38025-180, Brazil.
Sandeep TiwariLaboratory of Cellular and Molecular Genetics (LGCM) Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences,, Federal University of Minas Gerais (UFMG), MG, 31270-901, Belo Horizonte, Brazil. sandip_sbtbi@yahoo.com.ORCID http://orcid.org/0000-0002-8554-1660
Helioswilton Sales-CamposInstitute of Tropical Pathology and Public Health, Federal University of Goiás (UFG), Goiânia, Goiás, Brazil.
Leonardo Eurípedes Andrade-SilvaInfectious Disease Department, Institute of Health Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil.
Carlo Jose Freire OliveiraDepartment of Immunology, Microbiology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, 38025-180, Brazil.
Vasco AzevedoLaboratory of Cellular and Molecular Genetics (LGCM) Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences,, Federal University of Minas Gerais (UFMG), MG, 31270-901, Belo Horizonte, Brazil.
Virmondes RodriguesDepartment of Immunology, Microbiology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, 38025-180, Brazil.
Siomar C SoaresDepartment of Immunology, Microbiology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, 38025-180, Brazil.
Marcos Vinicius da SilvaDepartment of Immunology, Microbiology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, 38025-180, Brazil. marcosuftm@gmail.com.
Universidade Federal do Triângulo Mineiro · BRUniversidade Federal de Minas Gerais · BRInstituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro · BRUniversidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeprosy is caused by Mycobacterium leprae and Mycobacterium lepromatosis. Most of the affected population lives in low-income countries and may take up to 10 years to show any clinical signs, which is how physicians diagnose it. However, due to progressive cell damage, early diagnosis is very important. The best way to confirm leprosy is through bacilloscopic, which only confirms the diagnosis and has low accuracy or PCR, that requires specialized operators and is expensive. Since the bacteria are fastidious and do not grow in any culture media, therefore, diagnosing leprosy in the lab is still a challenge. In this concern, a recombinant multi-epitope protein can be a beneficial strategy in the management of the diagnosis, as diverse immunogenic epitopes are precisely selected to detect specific antibodies. Therefore, the purposes of the present study were to select immunogenic epitopes from different relevant proteins, with immunogenic properties, and then to construct a recombinant multi-epitope protein that accuses the presence of the antibodies in the early stages of the disease, making it more than appropriate to be applied as a diagnostic tool.

resultsWe selected 22 common proteins from both species and, using bioinformatics tools, predicted B and T cell epitopes. After multiple filtering and analyzing, we ended up with 29 epitopes {MHC-I (total 18) and MHC-II (total 11)} from 10 proteins, which were then merged into one construct. Its secondary and tertiary structures were also predicted and refined to comprise the amino acid residues in the best conformation possible. The multi-epitope protein construct was stable, non-host homologous, non-allergic, non-toxic, and elicit humoral and cellular responses. It has conformational B cell epitopes and potential to elicit IFN-γ, IL-4, and IL-10 secretion.

conclusionsThis novel recombinant multi-epitope protein constructed using the common epitopes from M. leprae and M. lepromatosis has a huge immunological potential, is stable, and can be lyophilized to be used in ELISA plates or even in biosensors, which are user-friendly diagnosis tools, facilitating translation into human sample tests.

Indexed as

Chimeric proteinDiagnosisHansen’s diseaseImmunoinformaticsLeprosy

Identifiers

PMID36053342
PMCPMC9440174
OpenAlexW4294281679

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.