TY - JOUR
T1 - A system pharmacology multi-omics approach toward uncontrolled pediatric asthma
AU - Abdel-Aziz, M.I.
AU - Neerincx, A.H.
AU - Vijverberg, S.J.H.
AU - Hashimoto, S.
AU - Brinkman, P.
AU - Gorenjak, M.
AU - Toncheva, A.A.
AU - Harner, S.
AU - Brandstetter, S.
AU - Wolff, C.
AU - Perez-Garcia, J.
AU - Hedman, A.M.
AU - Almqvist, C.
AU - Corcuera-Elosegui, P.
AU - Korta-Murua, J.
AU - Sardón-Prado, O.
AU - Pino-Yanes, M.
AU - Potočnik, U.
AU - Kabesch, M.
AU - Kraneveld, A.D.
AU - Maitland-Van der Zee, A.H.
AU - SysPharmPediA Consortium
PY - 2021/6/1
Y1 - 2021/6/1
N2 - © 2021 by the authors. Licensee MDPI, Basel, Switzerland.There is a clinical need to identify children with poor asthma control as early as possi-ble, 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 Slove-nia). 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.
AB - © 2021 by the authors. Licensee MDPI, Basel, Switzerland.There is a clinical need to identify children with poor asthma control as early as possi-ble, 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 Slove-nia). 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.
UR - http://www.scopus.com/inward/record.url?scp=85107856349&partnerID=8YFLogxK
U2 - 10.3390/jpm11060484
DO - 10.3390/jpm11060484
M3 - Article
SN - 2075-4426
VL - 11
JO - Journal of personalized medicine
JF - Journal of personalized medicine
IS - 6
M1 - 484
ER -