Journal of Personalized Medicine (May 2021)

A System Pharmacology Multi-Omics Approach toward Uncontrolled Pediatric Asthma

  • Mahmoud I. Abdel-Aziz,
  • Anne H. Neerincx,
  • Susanne J. H. Vijverberg,
  • Simone Hashimoto,
  • Paul Brinkman,
  • Mario Gorenjak,
  • Antoaneta A. Toncheva,
  • Susanne Harner,
  • Susanne Brandstetter,
  • Christine Wolff,
  • Javier Perez-Garcia,
  • Anna M. Hedman,
  • Catarina Almqvist,
  • Paula Corcuera-Elosegui,
  • Javier Korta-Murua,
  • Olaia Sardón-Prado,
  • Maria Pino-Yanes,
  • Uroš Potočnik,
  • Michael Kabesch,
  • Aletta D. Kraneveld,
  • Anke H. Maitland-van der Zee,
  • on behalf of the SysPharmPediA Consortium

DOI
https://doi.org/10.3390/jpm11060484
Journal volume & issue
Vol. 11, no. 6
p. 484

Abstract

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There is a clinical need to identify children with poor asthma control as early as possible, to optimize treatment and/or to find therapeutic alternatives. Here, we present the “Systems Pharmacology Approach to Uncontrolled Pediatric Asthma” (SysPharmPediA) study, which aims to establish a pediatric cohort of moderate-to-severe uncontrolled and controlled patients with asthma, to investigate pathophysiological mechanisms underlying uncontrolled moderate-to-severe asthma in children on maintenance treatment, using a multi-omics systems medicine approach. In this multicenter observational case–control study, moderate-to-severe asthmatic children (age; 6–17 years) were included from four European countries (Netherlands, Germany, Spain, and Slovenia). Subjects were classified based on asthma control and number of exacerbations. Demographics, current and past patient/family history, and clinical characteristics were collected. In addition, systems-wide omics layers, including epi(genomics), transcriptomics, microbiome, proteomics, and metabolomics were evaluated from multiple samples. In all, 145 children were included in this cohort, 91 with uncontrolled (median age = 12 years, 43% females) and 54 with controlled asthma (median age = 11.7 years, 37% females). The two groups did not show statistically significant differences in age, sex, and body mass index z-score distribution. Comprehensive information and diverse noninvasive biosampling procedures for various omics analyses will provide the opportunity to delineate underlying pathophysiological mechanisms of moderate-to-severe uncontrolled pediatric asthma. This eventually might reveal novel biomarkers, which could potentially be used for noninvasive personalized diagnostics and/or treatment.

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