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Projects / Programmes source: ARIS

Non-invasive multi-omics biomarkers in immune cells subtypes for personalized medicine in childhood asthma and molecular mechanisms of non-response to inhaled corticosteroids

Research activity

Code Science Field Subfield
3.01.00  Medical sciences  Microbiology and immunology   

Code Science Field
3.01  Medical and Health Sciences  Basic medicine 
Keywords
childhood asthma; pharmacogenomics; biomarkers; genomics; personalized medicine; systems biomedicine; multi-omics; genomics; transcriptomics; proteomics; epigenomics; pharmacogenomics; bioinformatics; functional cell models; biobank; chronic immune diseases; RNAseq; scRNAseq
Evaluation (metodology)
source: COBISS
Organisations (4) , Researchers (25)
2334  University of Maribor, Faculty of Medicine
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  55669  Anja Bizjak  Biochemistry and molecular biology  Researcher  2024 - 2025 
2.  29835  PhD Tomaž Budefeld  Microbiology and immunology  Researcher  2022 - 2025  94 
3.  26010  PhD Boris Gole  Biochemistry and molecular biology  Researcher  2022 - 2025  86 
4.  59745  Doroteja Golob  Biochemistry and molecular biology  Researcher  2024 - 2025 
5.  33268  PhD Mario Gorenjak  Biochemistry and molecular biology  Researcher  2022 - 2025  185 
6.  34478  PhD Larisa Goričan  Microbiology and immunology  Researcher  2022 - 2024  42 
7.  15751  PhD Radovan Hojs  Metabolic and hormonal disorders  Researcher  2022 - 2025  816 
8.  39240  PhD Gregor Jezernik  Microbiology and immunology  Researcher  2022 - 2025  51 
9.  35232  PhD Staša Jurgec  Medical sciences  Researcher  2022 - 2025  20 
10.  02053  PhD Ivan Krajnc  Microbiology and immunology  Researcher  2022 - 2023  615 
11.  55936  Martina Krušič  Microbiology and immunology  Young researcher  2022 - 2025  16 
12.  58268  PhD Martina Marič  Biochemistry and molecular biology  Researcher  2023 - 2024 
13.  20129  PhD Dušica Pahor  Metabolic and hormonal disorders  Researcher  2022 - 2024  789 
14.  55221  PhD Maya Petek  Biochemistry and molecular biology  Researcher  2022 - 2025  15 
15.  16340  PhD Uroš Potočnik  Microbiology and immunology  Head  2022 - 2025  665 
0104  National Institute of Chemistry
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  34529  PhD Vida Forstnerič  Biochemistry and molecular biology  Researcher  2022 - 2025  48 
2.  06628  PhD Roman Jerala  Biochemistry and molecular biology  Researcher  2022 - 2025  1,267 
3.  38257  PhD Maja Meško  Biotechnology  Researcher  2022 - 2023  15 
0334  University Medical Centre Maribor
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  33666  PhD Vojko Berce  Microbiology and immunology  Researcher  2022 - 2025  243 
2.  19125  PhD Jernej Dolinšek  Metabolic and hormonal disorders  Researcher  2022 - 2025  651 
3.  15998  PhD Nataša Marčun Varda  Cardiovascular system  Researcher  2022 - 2025  531 
0794  University of Maribor, Faculty of Chemistry and Chemical Engineering
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  25434  PhD Urban Bren  Chemistry  Researcher  2022 - 2025  411 
2.  36818  PhD Helena Sabina Čelešnik  Biochemistry and molecular biology  Researcher  2022 - 2025  66 
3.  32587  PhD Marko Jukič  Pharmacy  Researcher  2022 - 2025  193 
4.  30953  PhD Mitja Mitrovič  Microbiology and immunology  Researcher  2022 - 2025  57 
Abstract
Asthma is the most common chronic disease among children and affects more than 10 % of the childhood population. Children respond reasonably well to standard therapy with inhaled corticosteroids (ICS), however, there is large inter-individual variability, and a substantial proportion of children has only partly controlled disease. More than 20% of these patients will suffer from severe symptoms despite regular use of ICS or develop adverse drug reactions (ADRs). The Global Initiative for Asthma (GINA) is trying to resolve the problems of inefficient ICS and of ICS therapy associated ADRs by seeking for biomarkers guided personalized treatment of patients enrolled in GINA step2. Together with our partners in International Pharmacogenomics in Childhood Asthma consortium (PiCA), we have recently performed so far worldwide largest Genome Wide Association Study (GWAs) in more than 3000 asthma patients and identified several candidate single nucleotide polymorphisms (SNPs) and genes associated with ICS response, including SNPs near genes IL1RL1, CACNA2D3, WNT5A and ORMDL3, as best potential genetic biomarkers. The aim of the proposed study is to elucidate the molecular mechanisms of non-response to ICS (inhaled corticosteroids) in asthma patients, and to identify biomarkers for predicting response to ICS treatment. To this purpose, we will integrate genomic (GWAs), expression (RNA-seq, qRT-PCR), proteomic, epigenetic (DNA methylation) and regulatory (non-coding RNA profiling, alternative intron excision) data with bioinformatics tools (Gene Ontology -GO). Within the PiCa consortium, our Slovenian cohort of mild and moderate asthma patients (GINA step 2 treatment) is the only one that has availability of RNA for expression analysis. Moreover, RNA has been isolated from naïve patients before starting ICS therapy and then again after 4-6 weeks after treatment, representing a worldwide unique biobank containing DNA / RNA / protein samples isolated from the same patients before and during therapy. For those patients, clinical data were collected 4-6 weeks after introduction of ICS treatment. The follow up study revealed 30% of ICS nonresponders in our cohort. The originality of the proposed study is assured as this would be the first comprehensive transcriptomic analysis of different tissues using NGS (RNAseq) prior to treatment with ICS, combined with other »omics« data. The highly innovative part of the project is high resolution immune cell profiling and transcriptome/proteome/epigenome differential analysis (responders vs non-responders) in immune cell subtypes using 1. Single cell RNA sequencing in whole blood cells; 2. Deconvolution analysis of RNAseq data from whole blood cells; 3. Cell sorting and RNAseq in best candidate cell subtypes. Best candidate primary immune cells subtypes (initially CD8+ T cells and ILC2 cells) will bi isolated from responders and non-responders, grown in functional cell models, stimulated with patient’s specific clinically verified allergens and treated with corticosteroids. Development of functional cell models that mimic in vivo treatment of patients will enable validation of best candidate biomarkers (genes/proteins) discovered by multi-omics study in patients cohorts (in vivo data) using the techniques for manipulation of the target gene expression such as CRISPR to get more deep understanding of signaling pathways and molecular mechanisms involved in ICS treatment response. Opposite from the most previous studies that have been largely based on tissues obtained by autopsy, including muscle, pulmonary epithelium, and fibroblasts focus, our functional studies of molecular mechanisms and biological pathways of corticosteroid (non)responsiveness will focus on cells derived from tissues that could be such as nasal swab and blood, to discover biomarkers that could be realistically translated into clinical practice for personalized medicine in childhood asthma.
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