Identification and characterization of CD4+ T-cell epitopes on GapC protein of Streptococcus dysgalactiae

Yao, Di; Zhang, Hua; Wang, Xintong; Yu, Simiao; Wei, Yuhua; Liu, Wei; Wang, Jiannan; Xiaoting, Chen; Zhang, Zhenghai; Sun, Haiyan; Yu, Liquan; Ma, Jingyun; Tong, Chuan; Song, Baifen; Cui, Yudong

doi:10.1016/j.micpath.2015.11.025

Cited by 7 publications

(6 citation statements)

References 30 publications

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“…For this, this protein was tested in silico for immunodominant epitope predicted by Droppa-Almeida, Franceschi and Padilha (2018) [ 17 ], the epitope selection was directed for 10–16 amino acids residues size, the ideal size to bind into the slit of the MHC II molecule. The choice of prediction for MHC II epitopes is due to the targeting of the immune response, which will lead to the activation of TCD4 + lymphocytes, important for the activation of T and B lymphocytes [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Peptide vaccines designed with the aid of immunoinformatic against Caseous Lymphadenitis promotes humoral and cellular response induction in mice

Droppa-Almeida¹,

Silva²,

Gaspar³

et al. 2021

PLoS ONE

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Caseous Lymphadenitis (CLA) is a chronic disease that affects also small ruminants. CLA is caused by Corynebacterium pseudotuberculosis and is responsible for high economic losses due to the formation of superficial and visceral granulomas, the latter is considered as asymptomatic CLA causing high levels of dissemination. Several vaccination strategies, in which the use of synthetic peptides stands out. Thus, this work aimed to evaluate the protective potential of peptide vaccines designed to determine the immunodominant epitopes of CP40 against CLA in mice. The animals were divided into eight groups separated in controls (G1—PBS, G2—Saponin and G9—rCP40) and experimental (G3—pep1, G4- pep2, G5-pep3, G6-pep4, G7-pep5 and G8-pep6), these were vaccinated on days 0 and 15 by a subcutaneous route. 60 days after the first immunization, all animals were challenged with C. pseudotuberculosis. On days 0, 15, 60, and 120 after the first immunization, blood samples were taken to measure immunoglobulins. On the same day of the challenge, the splenocytes were isolated and assayed for the production of IL-2, IL-4, IL-6, IFN-γ, TNF-α, IL-17, and IL-10. After vaccinations, the animals were challenged and all of them were affected by the disease which led to their death. The G6 and G8 groups provided 10% protection and the G7 provided 20%. The G3 and G4 groups provided 30% and 40% protection respectively. The peptides showed the production of Total IgG antibodies and cytokines (IL-2, IL-4, IL-6, IFN-γ, and TNF-α), indicating a possible activation of the Th1 type response. However, groups G3, G5, G6, and G8 showed production of IL-17. None of the study groups showed IL-10 production. The immunogenicity of the peptides was not enough to protect these animals and it is believed that the use of adjuvants based on PAMPs may improve the immune response offered by these peptides.

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Section: Discussionmentioning

confidence: 99%

Peptide vaccines designed with the aid of immunoinformatic against Caseous Lymphadenitis promotes humoral and cellular response induction in mice

Droppa-Almeida¹,

Silva²,

Gaspar³

et al. 2021

PLoS ONE

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“… 52 However, the search needs to be totally directed to the type of immunologic response focused. The efficient response against C pseudotuberculosis is a T H 1 63 response, and therefore the epitopes from MHC class II for B cells are considered relevant. Therefore, this work had a purpose to design peptide vaccines against C pseudotuberculosis that were able to activate the immune system and in that sense immunoinformatics was used as support.…”

Section: Discussionmentioning

confidence: 99%

Immune-Informatic Analysis and Design of Peptide Vaccine From Multi-epitopes Against Corynebacterium pseudotuberculosis

Droppa-Almeida

Franceschi

Padilha

2018

Bioinform Biol Insights

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Caseous lymphadenitis (CLA) is a disease caused by Corynebacterium pseudotuberculosis bacteria that affects sheep and goats. The absence of a serologic diagnose is a factor that contributes for the disease dissemination, and due to the formation of granuloma, the treatment is very expensive. Therefore, prophylaxis is the approach with best cost-benefit relation; however, it still lacks an effective vaccine. In this sense, this work seeks to apply bioinformatic tools to design an effective vaccine against CLA, using CP40 protein as standard for the design of immunodominant epitopes, from which a total of 6 sequences were obtained, varying from 10 to 16 amino acid residues. The evaluation of different properties of the vaccines showed that the vaccine is a potent and nonallergenic antigen remaining stable in a wide range of temperatures. The initial tertiary structure of the vaccine was then predicted and a model selected. Later, the process of CP40 protein and TLR2 receptor binding was performed, presenting interaction with this receptor, which plays an important role in the activation of the immune response.

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“…Considering prophylaxis as the best alternate strategy for A. baumannii , with the advent of bioinformatics, the study was designed as an observational, in silico experimentation analysis for the design and evaluation of gacS vaccine candidates for A. baumannii . Selection of B-cell and T-cell dominant epitopes is considered a vital step in vaccine development, as they significantly bind with the immunological receptors and are considered to be highly crucial to evoking and eliciting both humoral and cell-mediated immune responses in the host ( Yao et al, 2015 ). Predictions of promiscuous gacS vaccine peptides were thus successfully achieved in the present study by the immuno-informatics approach utilizing the available genomic and proteomic reservoirs under a single computational platform comprising various databases and tools.…”

Section: Discussionmentioning

confidence: 99%

Delineating the Immuno-Dominant Antigenic Vaccine Peptides Against gacS-Sensor Kinase in Acinetobacter baumannii: An in silico Investigational Approach

Girija

2020

Front. Microbiol.

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Objectives: To predict the novel vaccine peptide candidates against gacS protein involved with the citrate utilization in the two-component system of A. baumanniiassociated virulence as an alternative strategy to combat the multi-drug resistant strains using an immuno-informatic approach. Methods: The study is designed as an observational in silico study design with the application of BepiPred, AlgPred, VaxiJen, AntigenPro, SolPro, Expasy ProtParam server, IEDB database, and MHC cluster analytical tools and servers to predict the immuno-dominant B-cell and T-cell epitopes from gacS FASTA sequences retrieved from UNIPROT database. Further peptide interactions with TLR-4 was assessed based on the number of hydrogen bonds. Results: Nine peptides (20aa) with the highest score of 1 were selected from the 137 epitopes, and five were predicted as antigenic epitopes (E1-E5). E3 was selected as the potent antigen (score: 0.939537) and E1 as the best vaccine candidate (score: 0.9803) under AntigenPro and Vaxijen server, respectively. SolPro predicted all epitopes as soluble peptides. ProtParam predictions showed E3 and E5 as stable proteins with a shelf life of 3.5 and 1.9 h and possessed negative GRAVY values. PsortB server predicted a final localization score of 7.88 for the gacS protein sequence as a cytoplasmic membrane protein. IEDB conservancy analysis showed 100% conserved sequences within the gacS sequence, and class I conservancy yielded positive values for all epitopes. Cluster analysis showed strong interactions, and the protein-peptide interactions with TLR-2 finally detected E5 as the best interacting peptide (H bonds = 14) followed by E3 (H bonds = 12). Conclusion: The study suggests five antigenic peptides as promiscuous vaccine candidates to target the gacS of A. baumannii using immuno-informatic approach toward the peptide synthesis and in vitro analysis. However, the study recommends further experimental validation for immunological response and memory through in vivo studies.

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Identification and characterization of CD4+ T-cell epitopes on GapC protein of Streptococcus dysgalactiae

Cited by 7 publications

References 30 publications

Peptide vaccines designed with the aid of immunoinformatic against Caseous Lymphadenitis promotes humoral and cellular response induction in mice

Peptide vaccines designed with the aid of immunoinformatic against Caseous Lymphadenitis promotes humoral and cellular response induction in mice

Immune-Informatic Analysis and Design of Peptide Vaccine From Multi-epitopes Against Corynebacterium pseudotuberculosis

Delineating the Immuno-Dominant Antigenic Vaccine Peptides Against gacS-Sensor Kinase in Acinetobacter baumannii: An in silico Investigational Approach

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