This research doesn't involve any kind of intervention on the study participants
OtherThis research doesn't involve any kind of intervention on the study participants
NCT Number: NCT06945627
This observational study aims to identify the underlying neurobiological and environmental mechanisms that influence vulnerability or resilience to mental illness in the context of infection and their contribution to severe infective outcomes in people with pre-existing mental illness. The main questions it aims to answer are:
* How do viral infections influence the development of mental illness? * What neurobiological and environmental factors contribute to influence the development of mental illness following infection? * How do these factors relate to the severity of infectious illness in people with pre-existing mental disorders?
Researchers will move from large population databases to well-defined, deeply characterised samples to explore the association between infection and subsequent mental health outcomes, and the biological mechanisms behind these changes.
Participants's data has already been collected.
This study is active but is not currently recruiting participants.
18 year–65 year
All sexes
Observational
University of Antwerp, Antwerp, Belgium
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
for the MOOD-MI cohort:
Inclusion criteria
for the COVID-MI cohort:
Exclusion criteria
for the MOOD-MI cohort:
Exclusion criteria
for the COVID-MI cohort:
Other exclusion criteria related to the MRI procedure include:
For epidemiological cohorts (MoBa, TOP, CHS) age between 18 and 65 ya, diagnosis of a severe mental illness (Schizophrenia, Major Depression, Bipolar disorder, anxiety disorders),
This research doesn't involve any kind of intervention on the study participants
Time frame: 3 years
number of onset or relapse of mental illness following infection
Time frame: 3 years
number of samples positive for antibodies for viruses associated with Mental illness in the literature (IgG, expressed as AU/mL)
Time frame: 3 years
socio-economic socio-demographic variables inflammatory markers levels, timing and type of infection,
Time frame: 3 years
differentially expressed gene between patients with high vs low Pathogen Burden Summary (PBS) with or without mental illness
Time frame: 3 years
stratification of patients in risk and resilence clusters using unsupervised machine learning algorithms based on
Time frame: 3 years
target genes involved in severe and post-infectious MI.
Sara Poletti
Other
Profiling Vulnerability and Resilience for Mental Illness Following Viral Infections: Translating Epidemiology to Deep-phenotyping
Acronym: VIRAL-MI
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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