Proteomic and Bioinformatic Analyses for the Identification of Proteins With Low Allergenic Potential for Hazard Assessment

Proteomic and Bioinformatic Analyses for the Identification of Proteins With Low Allergenic Potential for Hazard Assessment
Title:
Proteomic and Bioinformatic Analyses for the Identification of Proteins With Low Allergenic Potential for Hazard Assessment
Other Titles:
Toxicological Sciences
DOI:
10.1093/toxsci/kfz078
Keywords:
Publication Date:
23 March 2019
Citation:
Nora L Krutz, Jason Winget, Cindy A Ryan, Rohan Wimalasena, Sebastian Maurer-Stroh, Rebecca J Dearman, Ian Kimber, G Frank Gerberick, Proteomic and Bioinformatic Analyses for the Identification of Proteins With Low Allergenic Potential for Hazard Assessment, Toxicological Sciences, Volume 170, Issue 1, July 2019, Pages 210–222, https://doi.org/10.1093/toxsci/kfz078
Abstract:
Use of botanicals and natural substances in consumer products has increased in recent years. Such extracts can contain protein that may theoretically represent a potential risk of IgE-mediated allergy. No method has yet been generally accepted or validated for assessment of the allergenic potential of proteins. For development of suitable methods datasets of allergenic and nonallergenic (or low allergenic) proteins are required that can serve, respectively, as positive and negative controls. However, data are unavailable on proteins that lack or have low allergenic potential. Here, low allergenic potential proteins are identified based on the assumption that proteins with established human exposure, but with a lack of an association with allergy, possess low allergenic potential. Proteins were extracted from sources considered to have less allergenic potential (corn, potato, spinach, rice, and tomato) as well as higher allergenic potential (wheat) regarding common allergenic foods. Proteins were identified and semi-quantified by label-free proteomic analysis conducted using mass spectrometry. Predicted allergenicity was determined using AllerCatPro (https://allercatpro.bii.a-star.edu.sg/). In summary, 9077 proteins were identified and semi-quantified from 6 protein sources. Within the top 10% of the most abundant proteins identified, 178 characterized proteins were found to have no evidence for allergenicity predicted by AllerCatPro and were considered to have low allergenic potential. This panel of low allergenic potential proteins provides a pragmatic approach to aid the development of alternative methods for robust testing strategies to distinguish between proteins of high and low allergenic potential to assess the risk of proteins from natural or botanical sources.
License type:
PublisherCopyrights
Funding Info:
This work was supported by A*STAR under IAF-PP grant number H18/01/a0/b14 as part of the IFCS programme.
Description:
This is a pre-copyedited, author-produced version of an article accepted for publication in Toxicological Sciences following peer review. The version of record Nora L Krutz, Jason Winget, Cindy A Ryan, Rohan Wimalasena, Sebastian Maurer-Stroh, Rebecca J Dearman, Ian Kimber, G Frank Gerberick, Proteomic and Bioinformatic Analyses for the Identification of Proteins With Low Allergenic Potential for Hazard Assessment, Toxicological Sciences, Volume 170, Issue 1, July 2019, Pages 210–222, https://doi.org/10.1093/toxsci/kfz078 is available online at: https://doi.org/10.1093/toxsci/kfz078
ISSN:
1096-6080
1096-0929
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