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A System Pharmacology Multi-Omics Approach toward Uncontrolled Pediatric Asthma.

Mahmoud I Abdel-AzizAnne H NeerincxSusanne J H VijverbergSimone HashimotoPaul BrinkmanMario GorenjakAntoaneta A TonchevaSusanne HarnerSusanne BrandstetterChristine WolffJavier Perez-GarciaAnna M HedmanCatarina AlmqvistPaula Corcuera-EloseguiJavier Korta-MuruaOlaia Sardón-PradoMaria Pino-YanesUroš PotočnikMichael KabeschAletta D KraneveldAnke H Maitland-van der Zeenull On Behalf Of The SysPharmPediA Consortium
Published in: Journal of personalized medicine (2021)
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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