Immunomics in Pediatric Rheumatic Diseases.
Shi Huan Tay1, Katherine Nay Yaung1, Jing Yao Leong2
1Duke-NUS Medical School, Singapore, Singapore.
Frontiers in Medicine
|June 25, 2019
Summary
Immunomics offers a systems approach to understand complex pediatric rheumatic diseases. Integrating multi-omics data aids in identifying targets and personalizing treatments for autoimmune conditions.
Area of Science:
- Immunology
- Genomics
- Systems Biology
Background:
- Pediatric rheumatic diseases exhibit complex immune landscapes, hindering personalized treatment due to mechanistic uncertainties.
- Immunomics, integrating genomics, transcriptomics, epigenomics, proteomics, and cytomics, is well-suited to address this complexity.
Purpose of the Study:
- To review how high-dimensional immunomics technologies provide insights into autoimmunity pathogenesis.
- To discuss the role of immunomics in identifying immune targets, refining patient stratification, and understanding treatment responses.
Main Methods:
- Review of high-dimensional technologies within immunomics.
- Integration of multi-omics data (genomics, transcriptomics, epigenomics, proteomics, cytomics).
- Analysis of data to address clinical questions and unmet medical needs.
Main Results:
- Immunomics platforms generate substantial data offering biological insights into autoimmune pathogenesis.
- These platforms aid in identifying potential immune targets and improving patient stratification.
- Understanding treatment response and resistance is enhanced through immunomic data.
Conclusions:
- The integration of diverse immunomics platforms is crucial for unraveling disease complexities.
- Further data mining and integration of heterogeneous datasets are needed.
- Immunomics will expedite the discovery and validation of clinical targets for pediatric rheumatic diseases.
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