Basic Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Infect Dis. Feb 28, 2023; 13(1): 1-10
Published online Feb 28, 2023. doi: 10.5495/wjcid.v13.i1.1
Three-dimensional models of antigens with serodiagnostic potential for leprosy: An in silico study
Bianca Luiza Melo de Assis, Rafaela Viana Vieira, Ian Theodoro Rudenco Gomes Palma, Matheus Bertolini Coutinho, Juliana de Moura, Gabrielle Caroline Peiter, Kádima Nayara Teixeira
Bianca Luiza Melo de Assis, Rafaela Viana Vieira, Ian Theodoro Rudenco Gomes Palma, Matheus Bertolini Coutinho, Kádima Nayara Teixeira, Campus Toledo, Universidade Federal do Paraná, Toledo 85.919-899, Paraná, Brazil
Juliana de Moura, Departamento de Patologia Básica, Universidade Federal do Paraná - Setor de Ciências Biológicas, Curitiba 81.531-980, Paraná, Brazil
Gabrielle Caroline Peiter, Kádima Nayara Teixeira, Programa Multicêntrico de Pós-graduação em Bioquímica e Biologia Molecular - Setor Palotina, Universidade Federal do Paraná, Palotina 85.950-000, Paraná, Brazil
Author contributions: de Moura JF, Peiter GC, and Teixeira KN designed and coordinated the study and interpreted the data; Melo de Assis BL carried out the experiments, and acquired and analyzed the data; Vieira RV, Coutinho BM, and Palma ITRG reviewed the literature and wrote the manuscript; Teixeira KN reviewed the manuscript.
Institutional review board statement: This study was reviewed and approved by the Research Sector Committee of Campus Toledo - Universidade Federal do Paraná.
Conflict-of-interest statement: All authors declare no potential conflicts of interest for this article.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Kádima Nayara Teixeira, PhD, Professor, Campus Toledo, Universidade Federal do Paraná, Avenida Max Planck, 3796 , Toledo 85.919-899, Paraná, Brazil. kadimateixeira@ufpr.br
Received: August 28, 2022
Peer-review started: August 28, 2022
First decision: December 13, 2022
Revised: December 28, 2022
Accepted: February 1, 2023
Article in press: February 1, 2023
Published online: February 28, 2023
Core Tip

Core Tip: Leprosy is a disease with high clinical and epidemiological impact, because it causes irreversible and disfiguring sequelae and has a high incidence in endemic countries. Its variability of manifestations, with different immune responses and the difficulty of cultivating Mycobacterium leprae (M. leprae) in the laboratory, makes it difficult to develop sensitive and specific tests for the diagnosis of the disease, thus emphasizing the importance of in silico studies to solve this problem. In this sense, this study aimed to obtain three-dimensional models of M. leprae antigens, which have stood out in previous studies as candidates for the serological diagnosis of leprosy.