| Title: | A system pharmacology multi-omics approach toward uncontrolled pediatric asthma |
|---|
| Authors: | ID Abdel-Aziz, Mahmoud I. (Author) ID Gorenjak, Mario (Author) ID Potočnik, Uroš (Author) |
| Files: | A_System_Pharmacology_Multi-Om-Abdel-Aziz-2021.pdf (1,29 MB) MD5: 116B45F829BB40FF3424D991C89229BB
https://www.mdpi.com/2075-4426/11/6/484
|
|---|
| Language: | English |
|---|
| Work type: | Scientific work |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | MF - Faculty of Medicine
|
|---|
| Abstract: | 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. |
|---|
| Keywords: | pediatric asthma, uncontrolled asthma, omics, systems medicine |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 01.01.2021 |
|---|
| Year of publishing: | 2021 |
|---|
| Number of pages: | str. 1-16 |
|---|
| Numbering: | Vol. 11, iss. 6 |
|---|
| PID: | 20.500.12556/DKUM-84865  |
|---|
| UDC: | 616.248 |
|---|
| ISSN on article: | 2075-4426 |
|---|
| COBISS.SI-ID: | 65569795  |
|---|
| DOI: | 10.3390/jpm11060484  |
|---|
| Publication date in DKUM: | 02.08.2023 |
|---|
| Views: | 508 |
|---|
| Downloads: | 51 |
|---|
| Metadata: |  |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |