The use of pharmacogenomics, epigenomics, and transcriptomics to improve childhood asthma management: Where do we

Niloufar Farzan1, Susanne J Vijverberg1, Michael Kabesch2

  • 1Department of Respiratory Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands.

Pediatric Pulmonology
|March 2, 2018
PubMed

Insights

Understanding childhood asthma requires advanced molecular insights. Omics fields like pharmacogenomics, epigenomics, and transcriptomics offer new biomarkers for personalized treatment strategies.

Area of Science:

  • Pediatric Pulmonology
  • Molecular Medicine
  • Biomarker Discovery

Background:

  • Childhood asthma is a common, complex disease with significant treatment variability.
  • Current treatments, including biologics, are not effective for all patients, highlighting a need for personalized approaches.
  • Identifying distinct molecular mechanisms is crucial for improving treatment outcomes.

Purpose of the Study:

  • To explore the potential of omics fields (pharmacogenomics, epigenomics, transcriptomics) in identifying novel asthma mechanisms and biomarkers.
  • To address the unmet need for clinically available biomarkers for individualizing pediatric asthma management.
  • To facilitate the development of precision medicine in pediatric asthma care.

Main Methods:

  • Leveraging advances in high-throughput technologies and statistical tools.
  • Integrating data from well-phenotyped pediatric asthma patients.
  • Fostering multi-center collaborations to enhance knowledge of molecular mechanisms.

Main Results:

  • Omics approaches can provide tools to identify novel asthma mechanisms and biomarkers.
  • Advances in these fields can help stratify patients for targeted therapeutic strategies.
  • This research aims to expand the understanding of disease onset and progression.

Conclusions:

  • Pharmacogenomics, epigenomics, and transcriptomics hold promise for advancing pediatric asthma management.
  • Biomarker discovery through omics is essential for guiding personalized treatment selection.
  • The integration of omics data is key to realizing precision medicine in pediatric asthma.

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