In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors
Abstract Porphyromonas gingivalis (Pg) is one of the main pathogens in chronic periodontitis (CP). Studies on the immunogenicity of its virulence factors may contribute to understanding the host response to infection. The present study aimed to use in silico analysis as a tool to identify epitopes f...
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doaj-0693fab0780c45109768417d8fba081c2020-11-25T01:40:48ZengSpringerOpenAMB Express2191-08552019-03-019111110.1186/s13568-019-0757-xIn silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factorsEllen Karla Nobre dos Santos-Lima0Kizzes Araújo Paiva Andrade Cardoso1Patrícia Mares de Miranda2Ana Carla Montino Pimentel3Paulo Cirino de Carvalho-Filho4Yuri Andrade de Oliveira5Lília Ferreira de Moura-Costa6Teresa Olczak7Isaac Suzart Gomes-Filho8Roberto José Meyer9Márcia Tosta Xavier10Soraya Castro Trindade11Postgraduate Program in Immunology, Federal University of BahiaBiotechnology Postgraduate Program, Federal University of BahiaPostgraduate Program in Immunology, Federal University of BahiaPostgraduate Program in Immunology, Federal University of BahiaBahian School of Medicine and Public HealthDentistry Course, Feira de Santana State UniversityDepartment of Biointeraction, Federal University of BahiaFaculty of Biotechnology, University of WrocławDepartment of Health, Feira de Santana State UniversityDepartment of Biointeraction, Federal University of BahiaBahian School of Medicine and Public HealthDepartment of Health, Feira de Santana State UniversityAbstract Porphyromonas gingivalis (Pg) is one of the main pathogens in chronic periodontitis (CP). Studies on the immunogenicity of its virulence factors may contribute to understanding the host response to infection. The present study aimed to use in silico analysis as a tool to identify epitopes from Lys-gingipain (Kgp) and neuraminidase virulence factors of the Pg ATCC 33277 strain. Protein sequences were obtained from the NCBI Protein Database and they were scanned for amino acid patterns indicative of MHC II binding using the MHC-II Binding Predictions tool from the Immune Epitope Database (IEDB). Peptides from different regions of the proteins were chemically synthesized and tested by the indirect ELISA method to verify IgG immunoreactivity in serum of subjects with CP and without periodontitis (WP). T cell epitope prediction resulted in 16 peptide sequences from Kgp and 18 peptide sequences from neuraminidase. All tested Kgp peptides exhibited IgG immunoreactivity whereas tested neuraminidase peptides presented low IgG immunoreactivity. Thus, the IgG reactivity to Kgp protein could be reaffirmed and the low IgG reactivity to Pg neuraminidase could be suggested. The novel peptide epitopes from Pg were useful to evaluate its immunoreactivity based on the IgG-mediated host response. In silico analysis was useful for preselecting epitopes for immune response studies in CP.http://link.springer.com/article/10.1186/s13568-019-0757-xImmune responseImmunoinformaticsLys-gingipainNeuraminidasePeriodontitisSialidase |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ellen Karla Nobre dos Santos-Lima Kizzes Araújo Paiva Andrade Cardoso Patrícia Mares de Miranda Ana Carla Montino Pimentel Paulo Cirino de Carvalho-Filho Yuri Andrade de Oliveira Lília Ferreira de Moura-Costa Teresa Olczak Isaac Suzart Gomes-Filho Roberto José Meyer Márcia Tosta Xavier Soraya Castro Trindade |
spellingShingle |
Ellen Karla Nobre dos Santos-Lima Kizzes Araújo Paiva Andrade Cardoso Patrícia Mares de Miranda Ana Carla Montino Pimentel Paulo Cirino de Carvalho-Filho Yuri Andrade de Oliveira Lília Ferreira de Moura-Costa Teresa Olczak Isaac Suzart Gomes-Filho Roberto José Meyer Márcia Tosta Xavier Soraya Castro Trindade In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors AMB Express Immune response Immunoinformatics Lys-gingipain Neuraminidase Periodontitis Sialidase |
author_facet |
Ellen Karla Nobre dos Santos-Lima Kizzes Araújo Paiva Andrade Cardoso Patrícia Mares de Miranda Ana Carla Montino Pimentel Paulo Cirino de Carvalho-Filho Yuri Andrade de Oliveira Lília Ferreira de Moura-Costa Teresa Olczak Isaac Suzart Gomes-Filho Roberto José Meyer Márcia Tosta Xavier Soraya Castro Trindade |
author_sort |
Ellen Karla Nobre dos Santos-Lima |
title |
In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors |
title_short |
In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors |
title_full |
In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors |
title_fullStr |
In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors |
title_full_unstemmed |
In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors |
title_sort |
in silico analysis as a strategy to identify candidate epitopes with human igg reactivity to study porphyromonas gingivalis virulence factors |
publisher |
SpringerOpen |
series |
AMB Express |
issn |
2191-0855 |
publishDate |
2019-03-01 |
description |
Abstract Porphyromonas gingivalis (Pg) is one of the main pathogens in chronic periodontitis (CP). Studies on the immunogenicity of its virulence factors may contribute to understanding the host response to infection. The present study aimed to use in silico analysis as a tool to identify epitopes from Lys-gingipain (Kgp) and neuraminidase virulence factors of the Pg ATCC 33277 strain. Protein sequences were obtained from the NCBI Protein Database and they were scanned for amino acid patterns indicative of MHC II binding using the MHC-II Binding Predictions tool from the Immune Epitope Database (IEDB). Peptides from different regions of the proteins were chemically synthesized and tested by the indirect ELISA method to verify IgG immunoreactivity in serum of subjects with CP and without periodontitis (WP). T cell epitope prediction resulted in 16 peptide sequences from Kgp and 18 peptide sequences from neuraminidase. All tested Kgp peptides exhibited IgG immunoreactivity whereas tested neuraminidase peptides presented low IgG immunoreactivity. Thus, the IgG reactivity to Kgp protein could be reaffirmed and the low IgG reactivity to Pg neuraminidase could be suggested. The novel peptide epitopes from Pg were useful to evaluate its immunoreactivity based on the IgG-mediated host response. In silico analysis was useful for preselecting epitopes for immune response studies in CP. |
topic |
Immune response Immunoinformatics Lys-gingipain Neuraminidase Periodontitis Sialidase |
url |
http://link.springer.com/article/10.1186/s13568-019-0757-x |
work_keys_str_mv |
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