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Summary As there are four major molecular types of Cryptococcus neoformans (VNI, VNII, VNIII and VNIV) and four molecular types of Cryptococcus gattii (VGI, VGII, VGIII and VGIV), it is important to identify the specific groups causing cryptococcosis in different geographical regions. Here, we investigated the molecular types of 57 cryptococcal isolates from patients in a tertiary care hospital in the state of Amazonas, Brazil, between 2006 and 2010. The isolates were characterised by PCR fingerprinting using the M13 minisatellite and confirmed by URA5‐RFLP analysis, and the presence of specific genes from the mating type locus (MATα and MATa) of these species was analysed by PCR. Most of the patients were male (66.7%), between 16 and 30 years of age (51.7%), and HIV‐positive (75.0%). Most isolates were collected from cerebrospinal fluid samples (71.7%). Most of the C. neoformans isolates (n = 40) were characterised as members of the VNI molecular group (n = 39), a unique isolate was characterised as VNII whereas all isolates of C. gattii (n = 17) were members of the VGII molecular group. With regard to mating types, 55 isolates were type ‘α’, and only two were type ‘a’. This study revealed the prevalence of the VNI molecular group and provides the first reported observation of the VNII molecular group in the northern region of Brazil.

Cryptococcosis is considered endemic in Amazonas state, occurring more frequently in individuals with AIDS, who are predominantly infected by Cryptococcus neoformans molecular type VNI. Infections by Cryptococcus gattii VGII predominate in immunocompetent hosts from the American continent and are associated with outbreaks in North America, particularly the subtypes VGIIa and VGIIb, which are also present in the Brazilian Amazon region. Despite few environmental studies, several aspects of the molecular epidemiology of this disease in Amazonas remain unclear, including the limited use of multilocus sequence typing (MLST) to evaluate the genetic population structure of clinical isolates, mainly C. neoformans. Therefore, we used MLST to identify the sequence types of 38 clinical isolates of C. neoformans VNI and C. gattii VGII and used phylogenetic analysis to evaluate their genetic relationship to global isolates. Records of 30 patients were analyzed to describe the current scenario of cryptococcosis in the region and their associations with the different subtypes. Broth microdilution was also performed to determine the susceptibility profile to the antifungals amphotericin B, fluconazole and itraconazole. MLST identified that patients with HIV (n = 26) were exclusively affected by VNI strains with ST93, and among the VGII strains (n = 4), three STs (ST5, ST172 and the new ST445) were identified. An in-hospital lethality of 54% was observed in the HIV group, and there were no significant differences in the clinical aspects of the disease between the HIV and non-HIV groups of patients. In addition, all isolates were susceptible to the antifungals tested. Therefore, in Amazonas state, VNI isolates are a genetically monotypic group, with ST93 being highly important in HIV individuals.

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The aim of this study was to evaluate the diagnostic performance of in-house FISH (fluorescence in situ hybridisation) procedures for the direct identification of invasive fungal infections in blood cultures and cerebrospinal fluid (CSF) samples and to compare these FISH results with those obtained using traditional microbiological techniques and PCR targeting of the ITS1 region of the rRNA gene. In total, 112 CSF samples and 30 positive blood cultures were investigated by microscopic examination, culture, PCR-RFLP and FISH. The sensitivity of FISH for fungal infections in CSF proved to be slightly better than that of conventional microscopy (India ink) under the experimental conditions, detecting 48 (instead of 46) infections in 112 samples. The discriminatory powers of traditional microbiology, PCR-RFLP and FISH for fungal bloodstream infections were equivalent, with the detection of 14 fungal infections in 30 samples. However, the mean times to diagnosis after the detection of microbial growth by automated blood culture systems were 5 hours, 20 hours and 6 days for FISH, PCR-RFLP and traditional microbiology, respectively. The results demonstrate that FISH is a valuable tool for the identification of invasive mycoses that can be implemented in the diagnostic routine of hospital laboratories.