Multi-omics profiling approach in food allergy

被引:10
|
作者
Devonshire, Ashley [1 ]
Gautam, Yadu
Johansson, Elisabet
Mersha, Tesfaye B. [2 ]
机构
[1] Univ Cincinnati, Cincinnati Childrens Hosp, Med Ctr, Div Allergy & Immunol,Dept Pediat,Coll Med, Cincinnati, OH USA
[2] Cincinnati Childrens Hosp, Med Ctr, 3333 Burnet Ave, Cincinnati, OH 45229 USA
来源
WORLD ALLERGY ORGANIZATION JOURNAL | 2023年 / 16卷 / 05期
基金
美国国家卫生研究院;
关键词
Food allergy; Genomics; Multi-omics; Skin prick test; Immunoglobulin E; Oral food challenge; TGF-BETA-1 GENE POLYMORPHISMS; EPIGENOME-WIDE ASSOCIATION; PEANUT ALLERGY; IGE; SENSITIZATION; CHILDHOOD; CHILDREN; INTEGRATION; MICROBIOME; METABOLITE;
D O I
10.1016/j.waojou.2023.100777
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
The prevalence of food allergy (FA) among children is increasing, affecting nearly 8% of children, and FA is the most common cause of anaphylaxis and anaphylaxis-related emergency department visits in children. Importantly, FA is a complex, multi-system, multifactorial disease mediated by food-specific immunoglobulin E (IgE) and type 2 immune responses and involving environmental and genetic factors and gene-environment interactions. Early exposure to external and internal environmental factors largely influences the development of immune responses to allergens. Genetic factors and gene-environment interactions have established roles in the FA pathophysi-ology. To improve diagnosis and identification of FA therapeutic targets, high-throughput omics approaches have emerged and been applied over the past decades to screen for potential FA biomarkers, such as genes, transcripts, proteins, and metabolites. In this article, we provide an overview of the current status of FA omics studies, namely genomic, transcriptomic, epigenomic, proteomic, exposomic, and metabolomic. The current development of multi-omics integration of FA studies is also briefly discussed. As individual omics technologies only provide limited infor-mation on the multi-system biological processes of FA, integration of population-based multi-omics data and clinical data may lead to robust biomarker discovery that could translate into advances in disease management and clinical care and ultimately lead to precision medicine approaches.
引用
收藏
页数:15
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