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Projects / Programmes source: ARIS

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
11,978.74
A''
2,166.36
A'
6,088.43
A1/2
8,902.61
CI10
39,828
CImax
2,040
h10
83
A1
41.52
A3
10.43
Data for the last 5 years (citations for the last 10 years) on April 24, 2024; A3 for period 2018-2022
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  1,479  44,620  41,892  28.32 
Scopus  1,413  52,785  49,820  35.26 
Researchers (37)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  19258  PhD Tadej Avčin  Human reproduction  Head  2021 - 2024  471 
2.  10331  PhD Tatjana Avšič-Županc  Microbiology and immunology  Researcher  2021 - 2024  800 
3.  13023  PhD Tadej Battelino  Medical sciences  Researcher  2021 - 2024  1,230 
4.  36211  PhD Štefan Blazina  Human reproduction  Researcher  2021 - 2024  46 
5.  16362  PhD Saša Čučnik  Microbiology and immunology  Researcher  2021 - 2024  386 
6.  15657  PhD Maruša Debeljak  Oncology  Researcher  2021 - 2024  248 
7.  34849  PhD Klemen Dovč  Metabolic and hormonal disorders  Researcher  2021 - 2024  160 
8.  54522  Nina Emeršič  Human reproduction  Researcher  2021 - 2024  23 
9.  28300  PhD David Gosar  Psychology  Researcher  2021 - 2024  174 
10.  10337  PhD Alojz Ihan  Microbiology and immunology  Researcher  2021 - 2024  1,451 
11.  18063  Mateja Jelovšek    Technical associate  2021 - 2024  30 
12.  35356  PhD Barbara Jenko Bizjan  Medical sciences  Researcher  2021 - 2024  74 
13.  25991  PhD Andreja Nataša Kopitar  Microbiology and immunology  Researcher  2021 - 2024  189 
14.  34915  Anja Koren Jeverica  Microbiology and immunology  Researcher  2021 - 2024  56 
15.  30696  PhD Miša Korva  Microbiology and immunology  Researcher  2021 - 2024  182 
16.  32181  PhD Jernej Kovač  Medical sciences  Researcher  2021 - 2024  207 
17.  04573  PhD Mirta Koželj  Cardiovascular system  Researcher  2021  277 
18.  52079  Ema Lovšin  Microbiology and immunology  Junior researcher  2021 - 2022 
19.  29593  Gašper Markelj  Microbiology and immunology  Researcher  2021 - 2024  81 
20.  54473  Špela Markelj  Neurobiology  Researcher  2021 - 2024  50 
21.  31402  Gorazd Mlakar  Human reproduction  Researcher  2021 - 2024  35 
22.  34804  Katjuša Mrak Poljšak    Technical associate  2021 - 2024  66 
23.  54442  Eva Nadoh  Psychology  Researcher  2021 - 2024 
24.  38271  PhD Manca Ogrič  Microbiology and immunology  Researcher  2021 - 2024  42 
25.  21413  PhD Damjan Osredkar  Human reproduction  Researcher  2021 - 2024  480 
26.  23436  PhD Tina Plankar Srovin  Public health (occupational safety)  Researcher  2021 - 2024  45 
27.  15476  PhD Marko Pokorn  Microbiology and immunology  Researcher  2021 - 2024  304 
28.  35044  PhD Katarina Resman Rus  Microbiology and immunology  Researcher  2021 - 2024  54 
29.  05382  PhD Saša Simčič  Microbiology and immunology  Researcher  2021 - 2024  150 
30.  37426  PhD Robert Šket  Human reproduction  Researcher  2022 - 2024  71 
31.  20255  PhD Manca Tekavčič-Pompe  Neurobiology  Researcher  2021 - 2024  228 
32.  37490  PhD Tine Tesovnik  Human reproduction  Researcher  2021 - 2024  64 
33.  28571  PhD Nataša Toplak  Microbiology and immunology  Researcher  2021 - 2024  176 
34.  29810  Tina Vesel  Microbiology and immunology  Researcher  2021 - 2024  65 
35.  38376  Katarina Vincek  Microbiology and immunology  Researcher  2021 - 2024  71 
36.  50227  PhD Mojca Zajc Avramovič  Human reproduction  Researcher  2022 - 2024  45 
37.  24209  Valentina Zavrl    Technical associate  2021 - 2024 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0312  University Medical Centre Ljubljana  Ljubljana  5057272000  77,465 
2.  0381  University of Ljubljana, Faculty of Medicine  Ljubljana  1627066  48,238 
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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