MycoBiomDB – Record Details (MyCo_5515)

Biomarker Record Details

Database ID: MyCo_5515
DB IDMyCo_5515
TitleFc gamma receptor 3A polymorphism and risk for HIV-associated cryptococcal disease
Year2013
PMID23982074
Fungal Diseases involvedCryptococcus neoformans infection
Associated Medical ConditionHIV-AIDS
GenusCryptococcus
Speciesneoformans
OrganismCryptococcus neoformans
Ethical StatementMACS protocols are approved by institutional review boards at each recruitment site, and all participants provided written informed consent.
Site of InfectionNone
Opportunistic invasiveNone
Sample typeBody fluid
Sample sourceSerum
Host GroupHuman
Host Common nameHuman
Host Scientific nameHomo sapiens
Biomarker NameFCGR3A 158V
Biomarker Full NameFc gamma receptor 3A 158V
Biomarker TypeDiagnostic
BiomoleculeProtein
Geographical LocationUSA
CohortSerum samples (n 164) were obtained from MACS, an ongoing prospective study of the natural and treated histories of HIV infection in homosexual and bisexual men living in Baltimore, Chicago, Pittsburgh, and Los Angeles (29). A total of 6,972 men were enrolled into the MACS between 1984 and 2003.
Cohort No.164
Age Group29-45
P Valuep=0.005
SensitivityNone
SpecificityNone
Positive Predictive ValueNone
MICNone
Fold ChangeNone
PathwayNone
Disease Introduction MechanismCryptococcus neoformans is the main cause of fungal meningitis in HIV-infected and HIV-uninfected individuals. Human in- fection with C. neoformans, which occurs after acquisition of the fungus from the environment by inhalation, results in a state of latency that is thought to follow colonization of the respiratory tree (1). Most cases of clinically manifest cryptococcal disease (CD) are due to a breakdown in latency, which is most commonly caused by the progressive loss of CD4 T cells that occurs in those with HIV infection (2, 3). However, given that not all HIV- infected individuals with CD4 T cell deficiency develop CD de- spite serological evidence of previous infection (4–7), additional markers are needed to predict CD risk. Such biomarkers could have a major impact by identifying those who would benefit most from targeted prophylaxis and/or earlier treatment. HIV- associated CD remains a major cause of morbidity and mortality globally, particularly in sub-Saharan Africa, where nearly a mil- lion cases and half a million deaths due to CD are estimated to occur annually.
TechniquePCR
Analysis MethodPCR Based
ELISA kitsNone
Assay DataNone
Validation Techniques usedPCR
Up Regulation Down RegulationPositive
Sequence DataNone
External LinkNone