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Peptide Mapping, In Silico and In Vivo Analysis of Allergenic Sorghum Profilin Peptides.


ABSTRACT: BACKGROUND AND OBJECTIVES:Nearly 20-30% of the world's population suffers from allergic rhinitis, among them 15% are progressing to asthma conditions. Sorghum bicolor profilin (Sorb PF), one of the panallergens, was identified, but the allergen specificity is not yet characterized. MATERIALS AND METHODS:To map the antigenic determinants responsible for IgE binding, the present study is focused on in silico modeling, simulation of Sorb PF and docking of the Sorb PF peptides (PF1-6) against IgG and IgE, followed by in vivo evaluation of the peptides for its allergenicity in mice. RESULTS:Peptide PF3 and PF4 displayed high docking G-scores (-9.05) against IgE only. The mice sensitized with PF3 peptide showed increased levels of IL5, IL12, TNF-alpha, and GMCSF when compared to other peptides and controls, signifying a strong, Th2-based response. Concurrently, the Th1 pathway was inhibited by low levels of cytokine IL2, IFN-?, and IL-10 justifying the role of PF3 in allergenic IgE response. CONCLUSIONS:Based on the results of overlapping peptides PF3 and PF4, the N-terminal part of the PF3 peptide (TGQALVI) plays a crucial role in allergenic response of Sorghum profilin.

SUBMITTER: Bokka CS 

PROVIDER: S-EPMC6571906 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Peptide Mapping, In Silico and In Vivo Analysis of Allergenic Sorghum Profilin Peptides.

Bokka Chandra Sekhar CS   Veeramachaneni Ganesh Kumar GK   Thunuguntla V B S C VBSC   Bobbillapati Janakiram J   Bondili Jayakumar Singh JS  

Medicina (Kaunas, Lithuania) 20190521 5


<h4>Background and objectives</h4>Nearly 20-30% of the world's population suffers from allergic rhinitis, among them 15% are progressing to asthma conditions. <i>Sorghum bicolor</i> profilin (Sorb PF), one of the panallergens, was identified, but the allergen specificity is not yet characterized.<h4>Materials and methods</h4>To map the antigenic determinants responsible for IgE binding, the present study is focused on in silico modeling, simulation of Sorb PF and docking of the Sorb PF peptides  ...[more]

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