The Epitopes of Foot and Mouth Disease

Tang, Hua; Liu, Xin Sheng; Fang, Yu Zhen; Pan, Li; Zhang, Zhong Wang; Zhou, Peng; Lv, Jian; Jiang, Shou Tian; Wen, Hu; Zhang, Pan; Wang, Yong Lu; Zhang, Yong Guang

doi:10.3923/ajava.2012.1261.1265

Cited by 17 publications

(10 citation statements)

References 23 publications

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“…In recent years, there has been progress in identifying FMDV antigenic epitopes, which have increased the pace of development for epitope‐based ELISA. The precise locations of B‐cell epitopes in NSP regions have been identified, and many ELISAs employing peptides or epitope‐based proteins, particularly those incorporating the 3A and 3B regions, have demonstrated good diagnostic performance (Höhlich et al., ; Mohapatra et al., ; Tang et al., ). However, some FMDV antigenic epitopes cross‐react to antibodies targeting other picornaviruses.…”

Section: Introductionmentioning

confidence: 99%

Development of a chemiluminescence immunoassay using recombinant non-structural epitope-based proteins to accurately differentiate foot-and-mouth disease virus-infected and vaccinated bovines

Liu

Zhao

Gao

et al. 2018

Transbound Emerg Dis

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The contamination of inactivated vaccine with non-structural proteins (NSPs) leads to a high false-positive rate, which is a substantial barrier to accurately differentiate foot-and-mouth disease virus (FMDV)-infected animals from vaccinated animals. To address this problem, a new chemiluminescence immunoassay (CLIA) method was developed to detect antibodies targeting the two recombinant epitope-based proteins located in 3A and 3B. The 3Aepitp-3Bepitp CLIA exhibited a diagnostic sensitivity of 94.0% and a diagnostic specificity of 97.5% for the detection of serum samples (naïve bovines, n = 52, vaccinated bovines, n = 422, infected bovines, n = 116) from animals with known status. The CLIA method also had a concordance rate of 88.1% with the PrioCHECK FMDV NSP ELISA based on the detection of 270 serum samples from the field. Importantly, the 3Aepitp-3Bepitp CLIA produced no false-positives when used to detect FMDV in samples from bovines that had been vaccinated up to five times, and it was demonstrated a low false-positive rate when the bovines had been vaccinated up to ten (2.15%) and fifteen times (5.93%). Therefore, the 3Aepitp-3Bepitp CLIA detects FMDV in samples from frequently vaccinated bovines with high accuracy and represents an alternative method to differentiate FMDV-infected and vaccinated bovines.

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Section: Introductionmentioning

confidence: 99%

Development of a chemiluminescence immunoassay using recombinant non-structural epitope-based proteins to accurately differentiate foot-and-mouth disease virus-infected and vaccinated bovines

Liu

Zhao

Gao

et al. 2018

Transbound Emerg Dis

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“…For this purpose, various bioinformatic tools have been developed to identify the potential epitopes for peptide vaccine formulation (Weiss and Littman, 1994). Peptide vaccines are not only safer, less expensive and easily manufacturable but also require less time for manufacture as compared to the traditional vaccines (Von Hoff, 2005;Tang et al, 2012). Unlike traditional vaccines, peptide vaccines do not cause autoimmune disorders or skin irritations (Skwarczynski and Toth, 2016).…”

Section: Introductionmentioning

confidence: 99%

Japanese encephalitis virus: A multi-epitope loaded peptide vaccine formulation using reverse vaccinology approach

Chakraborty

Barman

Deb

2020

Infection, Genetics and Evolution

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Japanese encephalitis (JE) is a serious leading health complication emerging expansively that has severely affected the survival rate of human beings. This fatal disease is caused by JE Virus (JEV). The current study was carried out for designing a multi-epitope loaded peptide vaccine to prevent JEV. Based on reverse vaccinology and in silico approaches, octapeptide B-cell and hexapeptide T-cell epitopes belonging to five proteins, viz. E, prM, NS1, NS3 and NS5 of JEV were determined. Hydrophilicity, antigenicity, immunogenicity and aliphatic amino acids of the epitopes were estimated. Further, the epitopes were analyzed for different physicochemical parameters, e.g. total net charges, amino acid composition and Boman index. Out of all the epitopes, a total of four T-cell epitopes namely KRADSS, KRSRRS, SKRSRR and KECPDE and one B-cell epitope i.e. PKPCSKGD were found to have potential for raising immunity in human against the pathogen. Taking into account the outcome of this study, the pharmaceutical industries could initiate efforts to combine the identified epitopes together with adjuvant or carrier protein to develop a multi-epitope-loaded peptide vaccine against JEV. The peptide vaccine, being cost effective, could be administered as a prophylactic measure and in JEV infected individuals to combat the spread of this virus in human population. However, prior to administration into human beings, the vaccine must pass through several clinical trials.

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“…Vaccination is the most effective of all the medical interventions to save human and animal lives and to increase production (Horzinek 1999; Tang et al 2012a). Compared to the conventional vaccines, peptide- or epitope-based vaccines are easy to produce, more specific, cost effective, less time consuming and also safe (Kumar et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Screening and structure-based modeling of T-cell epitopes of Nipah virus proteome: an immunoinformatic approach for designing peptide-based vaccine

Kamthania

Sharma²

2015

3 Biotech

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Identification of Nipah virus (NiV) T-cell-specific antigen is urgently needed for appropriate diagnostic and vaccination. In the present study, prediction and modeling of T-cell epitopes of Nipah virus antigenic proteins nucleocapsid, phosphoprotein, matrix, fusion, glycoprotein, L protein, W protein, V protein and C protein followed by the binding simulation studies of predicted highest binding scorers with their corresponding MHC class I alleles were done. Immunoinformatic tool ProPred1 was used to predict the promiscuous MHC class I epitopes of viral antigenic proteins. The molecular modelings of the epitopes were done by PEPstr server. And alleles structure were predicted by MODELLER 9.10. Molecular dynamics (MD) simulation studies were performed through the NAMD graphical user interface embedded in visual molecular dynamics. Epitopes VPATNSPEL, NPTAVPFTL and LLFVFGPNL of Nucleocapsid, V protein and Fusion protein have considerable binding energy and score with HLA-B7, HLA-B*2705 and HLA-A2MHC class I allele, respectively. These three predicted peptides are highly potential to induce T-cell-mediated immune response and are expected to be useful in designing epitope-based vaccines against Nipah virus after further testing by wet laboratory studies.

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The Epitopes of Foot and Mouth Disease

Cited by 17 publications

References 23 publications

Development of a chemiluminescence immunoassay using recombinant non-structural epitope-based proteins to accurately differentiate foot-and-mouth disease virus-infected and vaccinated bovines

Development of a chemiluminescence immunoassay using recombinant non-structural epitope-based proteins to accurately differentiate foot-and-mouth disease virus-infected and vaccinated bovines

Japanese encephalitis virus: A multi-epitope loaded peptide vaccine formulation using reverse vaccinology approach

Screening and structure-based modeling of T-cell epitopes of Nipah virus proteome: an immunoinformatic approach for designing peptide-based vaccine

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