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A System Pharmacology Multi-Omics Approach toward Uncontrolled Pediatric Asthma

Abdel-Aziz, MI (author)
Neerincx, AH (author)
Vijverberg, SJH (author)
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Hashimoto, S (author)
Brinkman, P (author)
Gorenjak, M (author)
Toncheva, AA (author)
Harner, S (author)
Brandstetter, S (author)
Wolff, C (author)
Perez-Garcia, J (author)
Hedman, AM (author)
Karolinska Institutet
Almqvist, C (author)
Karolinska Institutet
Corcuera-Elosegui, P (author)
Korta-Murua, J (author)
Sardon-Prado, O (author)
Pino-Yanes, M (author)
Potocnik, U (author)
Kabesch, M (author)
Kraneveld, AD (author)
van der Zee, AMH (author)
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 (creator_code:org_t)
2021-05-28
2021
English.
In: Journal of personalized medicine. - : MDPI AG. - 2075-4426. ; 11:6
  • Journal article (peer-reviewed)
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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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