AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (10.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Data-driven analysis of chemicals, proteins and pathways associated with peanut allergy: from molecular networking to biological interpretation

Emmanuel Kemmlera,bJulian Braunb,c,dFlorent Fauchèreb,c,dSabine Dölle-Bierkeb,eKirsten Beyerb,fRobert Preissnera,bMargitta Wormb,ePriyanka Banerjeea,b( )
Institute for Physiology, Charité – University Medicine Berlin, Berlin 10115, Germany
Member of the KFO339, FOOD@, Berlin 10115, Germany
Si-M / “Der Simulierte Mensch” a science framework of Technische Universität Berlin and Charité-Universitätsmedizin Berlin, Berlin 10115, Germany
Charité -Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin 10115, Germany
Division of Allergy and Immunology, Department of Dermatology, Venerology and Allergy, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin 10115, Germany
Pediatrics, Campus Virchow, Charité – University Medicine Berlin, Berlin 10115, Germany

Peer review under responsibility of Tsinghua University Press.

Show Author Information

Abstract

Peanut allergy is majorly related to severe food induced allergic reactions. Several food including cow’s milk, hen’s eggs, soy, wheat, peanuts, tree nuts (walnuts, hazelnuts, almonds, cashews, pecans and pistachios), f ish and shellf ish are responsible for more than 90% of food allergies. Here, we provide promising insights using a large-scale data-driven analysis, comparing the mechanistic feature and biological relevance of different ingredients presents in peanuts, tree nuts (walnuts, almonds, cashews, pecans and pistachios) and soybean.Additionally, we have analysed the chemical compositions of peanuts in different processed form raw, boiled and dry-roasted. Using the data-driven approach we are able to generate new hypotheses to explain why nuclear receptors like the peroxisome proliferator-activated receptors (PPARs) and its isoform and their interaction with dietary lipids may have signif icant effect on allergic response. The results obtained from this study will direct future experimental and clinical studies to understand the role of dietary lipids and PPAR-isoforms to exert pro-inflammatory or anti-inflammatory functions on cells of the innate immunity and influence antigen presentation to the cells of the adaptive immunity.

References

【1】
【1】
 
 
Food Science and Human Wellness
Pages 1322-1335

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Kemmler E, Braun J, Fauchère F, et al. Data-driven analysis of chemicals, proteins and pathways associated with peanut allergy: from molecular networking to biological interpretation. Food Science and Human Wellness, 2024, 13(3): 1322-1335. https://doi.org/10.26599/FSHW.2022.9250111

2905

Views

321

Downloads

4

Crossref

4

Web of Science

4

Scopus

0

CSCD

Received: 22 July 2022
Revised: 06 August 2022
Accepted: 03 September 2022
Published: 08 February 2024
© 2024 Beijing Academy of Food Sciences. Publishing services by Tsinghua University Press.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).