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Prevalence of the VNIc genotype of Cryptococcus neoformans in non-HIV-associated cryptococcosis in the Republic of Korea.

Authors
Choi, YH; Ngamskulrungroj, P; Varma, A; Sionov, E; Hwang, SM; Carriconde, F; Meyer, W; Litvintseva, AP; Lee, WG; Shin, JH; Kim, EC; Lee, KW; Choi, TY; Lee, YS; Kwon-Chung, KJ
Citation
FEMS yeast research, 10(6):769-778, 2010
Journal Title
FEMS yeast research
ISSN
1567-13561567-1364
Abstract
PCR fingerprinting and multilocus sequence typing were applied to determine the major molecular types of the Cryptococcus neoformans/Cryptococcus gattii species complex in the Republic of Korea. Of the 78 strains isolated from patients diagnosed with cryptococcosis between 1990 and 2008, 96% were C. neoformans serotype A, mating type MATalpha and molecular type VNI. The remaining 4% were C. gattii, serotype B, mating type MATalpha and either molecular type VGIIb or VGIII. Of the 62 strains with known HIV status, only 14 (22.6%) were isolated from HIV-positive patients and belonged to molecular type VNI. Remarkably, 93% of the C. neoformans isolates had identical PCR fingerprint profiles with the VNIc genotype that has been identified recently as the major genotype among C. neoformans strains in China. Most strains (81.8%) of the VNIc genotype were associated with non-HIV patients compared with strains of the non-VNIc genotype (20%) (P=0.009). Unlike the Chinese strains, a majority (60%) of the non-HIV patients infected with strains of the VNIc genotype in the Republic of Korea had serious underlying conditions, with cancer and liver disease being the most common. This study affirms VNIc to be the most prevalent genotype of C. neoformans isolated from non-HIV patients with cryptococcosis.
MeSH terms
AdultAgedAged, 80 and overCluster AnalysisCryptococcosis/*microbiologyCryptococcus gattii/*classification/*genetics/isolation & purificationCryptococcus neoformans/*classification/*genetics/isolation & purification*DNA FingerprintingFemaleGenes, Mating Type, FungalGenotypeHumansMaleMiddle AgedMolecular Sequence Data*Mycological Typing TechniquesPrevalenceRepublic of KoreaSequence Analysis, DNA
DOI
10.1111/j.1567-1364.2010.00648.x
PMID
20561059
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Infectious Diseases
Journal Papers > School of Medicine / Graduate School of Medicine > Laboratory Medicine
AJOU Authors
최, 영화이, 위교
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