COVID-19, Multi-System Inflammatory Syndrome in Children, Pediatric Inflammatory Multisystem Syndrome, Post-Acute COVID-19, Post-Acute COVID19 Syndrome, Post COVID-19 Condition, Post-COVID-19 Syndrome
Conditions
Keywords
COVID-19, Post-COVID Condition, MIS-C, PIMS-TS
Brief summary
We will perform Whole Exome Sequencing on DNA from saliva. We will include: Children with a history of MIS-C; children with post-COVID condition; and controls in order to identify rare, high impact genetic variants in immunological genes and pathways in children with a history of MIS-C or pediatric post-COVID condition.
Detailed description
Rationale: Following infection with SARS-CoV-2, some children develop the potentially life-threatening disease Multi-System Inflammatory Syndrome in Children (MIS-C) and some children develop post-COVID condition (formerly 'long COVID'). It is unknown why some children develop severe or prolonged symptoms after SARS-CoV-2 infection, while most children have asymptomatic or mild disease. We hypothesize that rare variants in genes associated with the immune system predispose children to develop MIS-C or post-COVID condition after infection with SARS-CoV-2. Objective: Primary objective: To identify rare, high impact genetic variants in immunological genes and pathways in children with a history of MIS-C or pediatric post-COVID condition. Secondary objectives: To analyze the clinical characteristics and long-term effects of pediatric COVID-19 and MIS-C. To characterize the functional and clinical impact of genetic variants in MIS-C and post-COVID condition and identify targets for therapy. Study design: We will do an observational study. We will perform Whole Exome Sequencing (WES) using Next Generation Sequencing (NGS) on DNA from blood or saliva. We will include: (1) MIS-C cases: Children with a history of MIS-C; (2) post-COVID condition cases: Children with post-COVID condition; and (3) Controls: SARS-CoV-2 exposed age-matched control group: children who were infected with SARS-CoV-2 but did not develop moderate to severe COVID-19, MIS-C or post-COVID condition. Study population: Children 0-19 years old with a history of MIS-C (n=100), post-COVID condition (n=100), or uncomplicated SARS-CoV-2 infection (n=200). Main study parameters/endpoints: 1. To evaluate if some children with MIS-C or post-COVID condition have an inborn error of immunity by determining the presence of pathogenic or likely pathogenic variants in immunological genes 2. To evaluate if a larger proportion of cases with MIS-C or post-COVID condition have rare and presumably deleterious variants in immunological genes than children with an asymptomatic or mild infection
Interventions
Children (with help of their parents) collect their saliva with a saliva collection kit which they send to our research center.
Sponsors
Study design
Eligibility
Inclusion criteria
1. Children (\<19 years) with a history of MIS-C: as defined according to WHO criteria. 2. Children (\<19 years) with post-COVID condition: as defined according to the WHO case definition. This includes a history of probable or confirmed prior SARS-CoV-2 infection, with signs and symptoms (including fatigue, shortness of breath, cognitive dysfunction) that are present after 12 weeks, last at least 2 months, have an impact on daily functioning and are not explained by an alternative diagnosis. 3. 'Exposed' control group: children (\<19 years of age): a history of proven SARS-CoV-2 infection (RT-PCR, antigen test or serology positive). If the child has been vaccinated against SARS-CoV-2, the first documented infection must have been prior to the vaccination.
Exclusion criteria
1. No informed consent 2. Group 1 (MIS-C): no specific
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Quantity and quality of genetic variants in immunological genes between study groups. | 2 year | We want to quantify how many immunogenic variants are found between the groups and identify which variants/genes these are. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correlate genetic findings with clinical characteristics | 2 year | We want to connect the data found during genetic testing with multiple clinical characteristics already collected in previous studies. |
Countries
Netherlands