MycoBiomDB – Record Details (MyCo_5067)

Biomarker Record Details

Database ID: MyCo_5067
DB IDMyCo_5067
TitleThree Adult Cases of STAT1 Gain-of-Function with Chronic Mucocutaneous Candidiasis Treated with JAK Inhibitors
Year2022
PMID36050429
Fungal Diseases involvedChronic mucocutaneous candidiasis
Associated Medical ConditionNone
GenusCandida
Speciesalbicans
OrganismCandida albicans
Ethical StatementThis study was approved by the Regional Ethical Review Board in Stockholm, Sweden (reg. no. 2017/1964–31).
Site of InfectionNone
Opportunistic invasiveNone
Sample typeBody fluid
Sample sourceBlood
Host GroupHuman
Host Common nameHuman
Host Scientific nameHomo sapiens
Biomarker NameGranzyme H
Biomarker Full NameGranzyme H
Biomarker TypeDiagnostic
BiomoleculeProtein
Geographical LocationSweden
CohortPatient data was gathered during admission to the Department of Infectious Diseases at the Karolinska University Hospital, at Uppsala University Hospital and from medical records of Umeå University Hospital, Sahlgrenska Univer- sity Hospital and Region Västernorrland, Sweden. Informed consent was obtained from all three patients. The aim of this study was to characterize clinical effects and biomarkers in three patients with chronic mucocutaneous candidiasis (CMC) caused by gain-of-function (GOF) mutations in the STAT1 gene during treatment with Janus kinase (JAK) inhibitors.
Cohort No.3
Age GroupNone
P ValueNone
SensitivityNone
SpecificityNone
Positive Predictive ValueNone
MICNone
Fold ChangeNone
PathwayNone
Disease Introduction MechanismChronic mucocutaneous candidiasis (CMC) is a clinical syndrome with inborn errors of IL-17 immunity, characterizing a group of primary immunodeficiencies with persistent inflammation in mucous membranes, caused by Candida species, most often C. albicans. The clinical picture of this syndrome is heterogeneous, with both chronic and acute infections, as well as autoimmune manifestations. In addition, cerebral aneurysms may occur, but are rare. STAT1 gain of function (GOF) mutations are the most prevalent mutations in this syndrome.
TechniqueAnalytic
Analysis MethodMass cytometry (CyTOF) Analysis
ELISA kitsNone
Assay DataNone
Validation Techniques usedMass cytometry (CyTOF) Analysis
Up Regulation Down RegulationDown regulated
Sequence DataNone
External LinkNone