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Leveraging Multilayered "Omics" Data for Atopic Dermatitis: A Road Map to Precision Medicine
Debajyoti Ghosh1, Jonathan A Bernstein1, Gurjit K Khurana Hershey2
1Division of Immunology, Allergy & Rheumatology, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, United States.
Atopic dermatitis (AD) is a complex skin disease. Integrating multiple "omics" data layers reveals overlapping genes and pathways, offering new insights into AD etiology and its link to food allergies.
Area of Science:
- Dermatology and Immunology
- Genomics and Bioinformatics
- Systems Biology
Background:
- Atopic dermatitis (AD) is a prevalent, multifactorial inflammatory skin disease affecting millions globally, often starting in childhood and potentially persisting into adulthood.
- AD is characterized by heterogeneous sub-phenotypes driven by genetic and environmental factors, leading to impaired skin barrier function, immune dysregulation, and microbiome alterations.
- The traditional
Purpose of the Study:
- To address the limitations of single-omics analyses in understanding the complex etiology of atopic dermatitis (AD).
- To explore the utility of trans-omics data integration strategies for uncovering novel biological insights into AD pathogenesis.
- To identify overlapping genes, pathways, and tissue enrichments across multiple omics layers to better define AD's biological basis.
Main Methods:
- Integration of multiple high-throughput 'omics' data layers, including genome, epigenome, transcriptome, proteome, metabolome, lipidome, exposome, and microbiome.
- Analysis of overlapping genes and pathways identified across different omics datasets.
- Utilizing the GTEx database to investigate tissue-specific enrichments of multi-omics overlaps.
Main Results:
- Multi-omics integration identified overlapping genes such as FLG, SPINK5, S100A8, and SERPINB3, and pathways including macrophage, endothelial cell, and fibroblast activation, alongside Th1/Th2 and NFkB pathways.
- A greater overlap was observed at the pathway level compared to the gene level across integrated omics data.
- Significant enrichment of multi-omics overlap in skin and esophagus tissues was detected, suggesting a biological link between AD and food allergy.
Conclusions:
- Multi-omics data integration provides a more holistic understanding of atopic dermatitis (AD) etiology than singular approaches.
- The study confirms previously reported AD-associated genes and pathways and reveals new biological insights.
- The findings highlight the interconnectedness of AD and food allergy, supported by tissue-specific omics overlaps.
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