Food allergy and omics

JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY

卷:141

Article

Dhondalay, Gopal Krishna^1,4  Rael, Efren^1,4  Acharya, Swati^1,4  Zhang, Wenming^1,4  Sampath, Vanitha^1,4  Galli, Stephen J.^1,2,3  Tibshirani, Robert^1,5  Boyd, Scott D.^1,2,4  Maecker, Holden^1,3,4  Nadeau, Kari Christine^1,4  Andorf, Sandra^1,4 

[1] Stanford Univ, Sch Med, Sean N Parker Ctr Allergy & Asthma Res, Stanford, CA 94305 USA

[2] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA 94305 USA

[3] Stanford Univ, Sch Med, Dept Microbiol & Immunol, Stanford, CA 94305 USA

[4] Stanford Univ, Sch Med, Inst Immun Transplantat & Infect, Stanford, CA 94305 USA

[5] Stanford Univ, Sch Med, Dept Biomed Data Sci, Stanford, CA 94305 USA

关键词: Food allergy;    bioinformatics;    epigenomics;    exposomics;    genomics;    transcriptomics;    proteomics;    metabolomics;    microbiomics;    integrative biology;    systems biology;   

DOI  :  10.1016/j.jaci.2017.11.007

来源: Elsevier

【 摘 要 】

Food allergy (FA) prevalence has been increasing over the last few decades and is now a global health concern. Current diagnostic methods for FA result in a high number of false-positive results, and the standard of care is either allergen avoidance or use of epinephrine on accidental exposure, although currently with no other approved treatments. The increasing prevalence of FA, lack of robust biomarkers, and inadequate treatments warrants further research into the mechanism underlying food allergies. Recent technological advances have made it possible to move beyond traditional biological techniques to more sophisticated high-throughput approaches. These technologies have created the burgeoning field of omics sciences, which permit a more systematic investigation of biological problems. Omics sciences, such as genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and exposomics, have enabled the construction of regulatory networks and biological pathway models. Parallel advances in bioinformatics and computational techniques have enabled the integration, analysis, and interpretation of these exponentially growing data sets and opens the possibility of personalized or precision medicine for FA.

【 授权许可】

Free