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Projects / Programmes source: ARRS

Clinical, immunological and genetic characteristics of multisystemic inflammatory syndrome associated with COVID-19 in children and adolescents

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
Multisystemic inflammatory syndrome in children, SARS-CoV-2, COVID-19, autoimmunity
Evaluation (rules)
source: COBISS
Points
11,532.53
A''
2,098
A'
5,722.36
A1/2
8,390.7
CI10
33,860
CImax
1,842
h10
73
A1
39.94
A3
20.75
Data for the last 5 years (citations for the last 10 years) on March 29, 2023; A3 for period 2017-2021
Data for ARRS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  1,383  38,308  35,823  25.9 
Scopus  1,311  45,027  42,363  32.31 
Researchers (36)
no. Code Name and surname Research area Role Period No. of publications
1.  19258  PhD Tadej Avčin  Human reproduction  Principal Researcher  2021 - 2023  446 
2.  10331  PhD Tatjana Avšič-Županc  Microbiology and immunology  Researcher  2021 - 2023  765 
3.  13023  PhD Tadej Battelino  Medical sciences  Researcher  2021 - 2023  1,152 
4.  36211  PhD Štefan Blazina  Human reproduction  Researcher  2021 - 2023  45 
5.  16362  PhD Saša Čučnik  Microbiology and immunology  Researcher  2021 - 2023  369 
6.  15657  PhD Maruša Debeljak  Oncology  Researcher  2021 - 2023  224 
7.  34849  PhD Klemen Dovč  Metabolic and hormonal disorders  Researcher  2021 - 2023  133 
8.  54522  Nina Emeršič  Human reproduction  Researcher  2021 - 2023  13 
9.  28300  PhD David Gosar  Psychology  Researcher  2021 - 2023  163 
10.  10337  PhD Alojz Ihan  Microbiology and immunology  Researcher  2021 - 2023  1,378 
11.  18063  Mateja Jelovšek    Technician  2021 - 2023  29 
12.  35356  PhD Barbara Jenko Bizjan  Medical sciences  Researcher  2021 - 2023  52 
13.  25991  PhD Andreja Nataša Kopitar  Microbiology and immunology  Researcher  2021 - 2023  169 
14.  34915  Anja Koren Jeverica  Microbiology and immunology  Researcher  2021 - 2023  54 
15.  30696  PhD Miša Korva  Microbiology and immunology  Researcher  2021 - 2023  151 
16.  32181  PhD Jernej Kovač  Medical sciences  Researcher  2021 - 2023  177 
17.  04573  PhD Mirta Koželj  Cardiovascular system  Researcher  2021 - 2023  276 
18.  52079  Ema Lovšin  Microbiology and immunology  Junior researcher  2021 - 2023 
19.  29593  Gašper Markelj  Microbiology and immunology  Researcher  2021 - 2023  69 
20.  54473  Špela Markelj  Neurobiology  Researcher  2021 - 2023 
21.  31402  Gorazd Mlakar  Human reproduction  Researcher  2021 - 2023  34 
22.  34804  Katjuša Mrak Poljšak    Technician  2021 - 2023  62 
23.  54442  Eva Nadoh  Psychology  Researcher  2021 - 2023 
24.  38271  PhD Manca Ogrič  Microbiology and immunology  Researcher  2021 - 2023  37 
25.  21413  PhD Damjan Osredkar  Human reproduction  Researcher  2021 - 2023  418 
26.  23436  PhD Tina Plankar Srovin  Public health (occupational safety)  Researcher  2021 - 2023  33 
27.  15476  PhD Marko Pokorn  Microbiology and immunology  Researcher  2021 - 2023  293 
28.  35044  PhD Katarina Resman Rus  Microbiology and immunology  Researcher  2021 - 2023  42 
29.  05382  PhD Saša Simčič  Microbiology and immunology  Researcher  2021 - 2023  145 
30.  37426  PhD Robert Šket  Human reproduction  Researcher  2022 - 2023  53 
31.  20255  PhD Manca Tekavčič-Pompe  Neurobiology  Researcher  2021 - 2023  211 
32.  37490  PhD Tine Tesovnik  Human reproduction  Researcher  2021 - 2023  46 
33.  28571  PhD Nataša Toplak  Microbiology and immunology  Researcher  2021 - 2023  162 
34.  29810  Tina Vesel  Microbiology and immunology  Researcher  2021 - 2023  60 
35.  38376  Katarina Vincek  Microbiology and immunology  Researcher  2021 - 2023  64 
36.  24209  Valentina Zavrl    Technician  2021 - 2023 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0312  University Medical Centre Ljubljana  Ljubljana  5057272000  73,429 
2.  0381  University of Ljubljana, Faculty of Medicine  Ljubljana  1627066  44,841 
Abstract
Multisystemic inflammatory syndrome in children (MIS-C) is a newly identified immune-mediated syndrome that is characteristically observed in the pediatric population. Patients with MIS-C usually present 2-6 weeks after the initial SARS-CoV-2 infection with high fever, intense inflammation and signs of multiple organ dysfunction. There are few data on the clinical course of the disease and very limited information on prognosis and outcome. Moreover, the underlying pathophysiology of MIS-C is not fully understood. In this project, we plan to analyze clinical and laboratory data and use patient biosamples from patients with MIS-C diagnosed at the University Children’s Hospital, University Medical Center Ljubljana in order to better define the clinical course and immunopathogenesis of MIS-C. For early clinical recognition of MIS-C we plan to evaluate distinctions between the MIS-C patients and patients with febrile conditions admitted as suspected MIS-C, but with a different final diagnosis. Cardiac and neurological involvement are one of the most concerning clinical features of MIS-C and we plan to systematically evaluate both acute manifestations and long-term cardiac and neuropsychological outcomes associated with MIS-C. To better characterize and understand the immunologic basis of MIS-C, we will specifically explore the roles of the innate and adaptive immune systems as well as interactions with the endothelial cells. We plan to analyze a detailed immunoserological response to SARS-CoV-2 in patients with MIS-C and assess the SARS-CoV-2 genotypes in patients with MIS-C in comparison to the general population. Genetic studies in patients with MIS-C will include Whole Genome Sequencing (WGS), transcriptome sequencing as well as single cell sequencing. WGS will be performed to explore rare genetic variants as well as structural genetic variations in MIS-C patient’s. Gene expressions analyses will be performed in MIS-C patients at acute phase and after remission in order to identify up or down-regulated genes, and single cell analysis will be used to identify cell subsets and activation pathways in the pathogenesis of MIS-C. The results of this project are expected to support our clinical impression for particular dynamics of clinical and laboratory features in MIS-C patients which could help in establishing early diagnosis and improve long-term outcome including prevention of myocardial and neuropsychological impairment. Moreover, we expect to provide a new insights into the role of innate and adaptive immunity in the pathogenesis of MIS-C, identify possible high-risk SARS-CoV-2 genotypes and generate and analyze genetic data that could be further explored in larger multicenter international studies.
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