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Precision Medicine in Childhood Asthma: Omic Studies of Treatment Response

Javier Perez-Garcia1, Esther Herrera-Luis1, Fabian Lorenzo-Diaz1,2

  • 1Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, 38200 San Cristóbal de La Laguna, Spain.

International Journal of Molecular Sciences
|April 25, 2020
PubMed

Insights

Recent omic studies reveal molecular insights into pediatric asthma treatment response. Findings identify biomarkers for improved management of difficult-to-treat childhood asthma.

Area of Science:

  • Pediatric Pulmonology
  • Genomics
  • Systems Biology

Background:

  • Childhood asthma is a complex respiratory condition with significant patient and societal burden.
  • Difficult-to-treat asthma in children presents unique management challenges.
  • Omic approaches offer novel insights into disease heterogeneity and treatment response.

Purpose of the Study:

  • To review recent (2018-2019) findings on pediatric asthma treatment response using diverse omic technologies.
  • To summarize the role of genomics, epigenomics, transcriptomics, metabolomics, and microbiome in treatment efficacy.
  • To identify potential molecular biomarkers for personalized asthma management.

Main Methods:

  • Systematic review of 13 studies published in 2018-2019 focusing on omics and pediatric asthma.
  • Analysis of data from genomics, epigenomics, transcriptomics, metabolomics, and microbiome studies.
  • Assessment of treatment response to short-acting beta agonists, inhaled corticosteroids, and leukotriene receptor antagonists.

Main Results:

  • Identification of novel genetic markers associated with treatment response in pediatric asthma.
  • Discovery of epigenetic modifications, metabolites, and microbial signatures influencing treatment outcomes.
  • Elucidation of molecular mechanisms underlying variable responses to common asthma medications.

Conclusions:

  • Omic data provide valuable insights into the molecular basis of pediatric asthma treatment response.
  • Novel biomarkers identified can potentially refine clinical management strategies for childhood asthma.
  • Integration of omics with clinical data promises improved therapeutic decisions for pediatric asthma patients.

Keywords:
ICSLTRASABAepigenomicsgenomicsmetabolomicsmicrobiomemultiomicstranscriptomics

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