In South Africa, Candida auris was the third most common cause of candidemia in 2016–2017. We performed single nucleotide polymorphism (SNP) genome-wide analysis of 115 C. auris isolates collected between 2009 and 2018 from national laboratory-based surveillance, an environmental survey at four hospitals and a colonization study during a neonatal unit outbreak. The first known South African C. auris strain from 2009 clustered in clade IV. Overall, 98 strains clustered within clade III (85%), 14 within clade I (12%) and three within clade IV (3%). All environmental and colonizing strains clustered in clade III. We also identified known clade-specific resistance mutations in the ERG11 and FKS1 genes. Identification of clade I strains between 2016 and 2018 suggests introductions from South Asia followed by local transmission. SNP analysis characterized most C. auris strains into clade III, the clade first reported from South Africa, but the presence of clades I and IV strains also suggest early introductions from other regions.

Fluconazole is used in combination with amphotericin B for induction treatment of cryptococcal meningitis and as monotherapy for consolidation and maintenance treatment. More than 90% of isolates from first episodes of cryptococcal disease had a fluconazole minimum inhibitory concentration (MIC) ≤4 μg/ml in a Gauteng population-based surveillance study of Cryptococcus neoformans in 2007–2008. We assessed whether fluconazole resistance had emerged in clinical cryptococcal isolates over a decade. We prospectively collected C. neoformans isolates from 1 January through 31 March 2017 from persons with a first episode of culture-confirmed cryptococcal disease at 37 South African hospitals. Isolates were phenotypically confirmed to C. neoformans species-complex level. We determined fluconazole MICs (range: 0.125 μg/ml to 64 μg/ml) of 229 C. neoformans isolates using custom-made broth microdilution panels prepared, inoculated and read according to Clinical and Laboratory Standards Institute M27-A3 and M60 recommendations. These MIC values were compared to MICs of 249 isolates from earlier surveillance (2007–2008). Clinical data were collected from patients during both surveillance periods. There were more males (61% vs 39%) and more participants on combination induction antifungal treatment (92% vs 32%) in 2017 compared to 2007–2008. The fluconazole MIC₅₀, MIC₉₀ and geometric mean MIC was 4 μg/ml, 8 μg/ml and 4.11 μg/ml in 2017 (n = 229) compared to 1 μg/ml, 2 μg/ml and 2.08 μg/ml in 2007–2008 (n = 249) respectively. Voriconazole, itraconazole and posaconazole Etests were performed on 16 of 229 (7%) C. neoformans isolates with a fluconazole MIC value of ≥16 μg/ml; only one had MIC values of >32 μg/ml for these three antifungal agents. Fluconazole MIC₅₀ and MIC₉₀ values were two-fold higher in 2017 compared to 2007–2008. Although there are no breakpoints, higher fluconazole doses may be required to maintain efficacy of standard treatment regimens for cryptococcal meningitis. Cryptococcus neoformans, a pathogenic fungal species-complex with an environmental niche, is the most common cause of meningitis among HIV-seropositive adults in sub-Saharan Africa. Fluconazole is recommended in combination with amphotericin B for induction treatment of cryptococcal meningitis and as monotherapy for consolidation and maintenance treatment. Fluconazole is also commonly prescribed to HIV-seropositive individuals for other indications; fluconazole exposure may result in secondary resistance if patients have concurrent active cryptococcal disease. Azole fungicides used in agriculture may potentially drive primary cryptococcal resistance when the fungus is exposed to these fungicides in the environment. We aimed to determine fluconazole MICs in 2017 and compare these values to those obtained in a 2007–2008 South African survey to assess whether fluconazole resistance had emerged in C. neoformans over a decade. We found that the proportion of isolates with an MIC of ≥16 μg/ml increased from 0% in 2007–2008 to 7% in 2017. MIC₅₀ and MIC₉₀ values were also two-fold higher in 2017 compared to 2007–2008. These study findings provided evidence for higher fluconazole dose recommendations (in combination with amphotericin B for the induction phase and as monotherapy for consolidation and maintenance phases) in the 2019 Southern African guideline for HIV-associated cryptococcosis.

During 2016-2017, Nakaseomyces glabrata (formerly Candida glabrata) caused 14% of cases of candidaemia in South Africa. We aimed to describe the clinical characteristics of adults with N. glabrata candidaemia at 20 sentinel hospitals (accounting for 20% (172/917) of cases) and the antifungal susceptibility of the corresponding isolates. A higher proportion of patients with N. glabrata candidaemia were older (median age: 55 years [interquartile range (IQR): 41-65 years] vs. 49 years [IQR: 35-63 years]; p = 0.04), female (87/164, 53% vs. 283/671, 42%; p = 0.01), admitted to a public-sector hospital (152/172, 88% vs. 470/745, 63%; p < 0.001), treated with fluconazole only (most with suboptimal doses) (51/95, 54% vs. 139/361, 39%; p < 0.001), and had had surgery (47/172, 27% vs. 123/745, 17%; p = 0.001) and a shorter hospital stay (median 7 days [IQR: 2-20 days] vs. 13 days [IQR: 4-27 days]; p < 0.001) compared to patients with other causes of candidaemia. Eight N. glabrata isolates (6%, 8/131) had minimum inhibitory concentrations in the intermediate or resistant range for ≥ 1 echinocandin and a R1377K amino acid substitution encoded by the hotspot 2 region of the FKS2 gene. Only 11 isolates (8%, 11/131) were resistant to fluconazole. Patients with confirmed N. glabrata candidaemia are recommended to be treated with an echinocandin (or polyene), thus further guideline training is required. Nakaseomyces (formerly Candida) glabrata is a yeast-like fungus that forms part of the commensal gut flora and among people with certain risk factors, can invade into the bloodstream. N. glabrata is a relatively more common cause of candidaemia in high-income versus low- and middle-income countries. There are no N. glabrata clinical isolates that are considered susceptible to fluconazole, and thus echinocandins are recommended for treatment. However, echinocandin resistance is emerging. We described the characteristics of South African patients with N. glabrata bloodstream infections and the antifungal susceptibility of corresponding isolates. We found that patients infected with N. glabrata were more likely to be older, female, admitted to public hospitals and to be post-surgery and these patients were also more likely to be treated with fluconazole monotherapy and to have stayed a shorter time in hospital compared to patients infected with other Candida species. Only 6% of N. glabrata isolates were echinocandin-resistant with mutations in specific resistance genes that we have found in South African N. glabrata isolates previously. Eight % of N. glabrata isolates were resistant to fluconazole and the remainder were in the susceptible dose dependent category, requiring higher fluconazole treatment doses. Patients with confirmed N. glabrata bloodstream infection should ideally be treated with an echinocandin or polyene rather than fluconazole and training is required for doctors treating these patients.

In South Africa, Cryptococcus neoformans is the most common cause of adult meningitis. We performed multi locus sequence typing and fluconazole susceptibility testing of clinical C. neoformans isolates collected from 251 South African patients with cryptococcosis through national surveillance from 2005 to 2009. We examined the association between clinical characteristics of patients and genotype, and the effect of genotype on in-hospital mortality. We performed whole genome phylogenetic analysis of fifteen C. neoformans isolates with the molecular type VNB and tested their virulence in a Galleria mellonella model. Most isolates had the molecular type VNI (206/251, 82%), followed by VNII (25/251, 10%), VNB (15/251, 6%), and VNIV (5/251, 2%); 67 sequence types were identified. There were no differences in fluconazole minimum inhibitory concentration (MIC) values among molecular types and the majority of strains had low MIC values (MIC₅₀ of 1 µg/mL and MIC₉₀ of 4 µg/mL). Males were almost twice as likely of being infected with a non-VNI genotype (adjusted odds ratio [OR]: 1.65, 95% confidence interval [CI]: 0.25–10.99; p = 0.61). Compared to patients infected with a VNI genotype, those with a non-VNI genotype had a 50% reduced adjusted odds of dying in hospital (95% CI: 0.03–7.57; p = 0.62). However, for both these analyses, our estimates had wide confidence intervals spanning 1 with large p-values. Fifteen VNB strains were not as virulent in a G. mellonella larval model as the H99 reference strain. A majority of these VNB strains belonged to the VNBII clade and were very closely related by phylogenetic analysis.

Two cases of cryptococcal meningitis went undetected by a cryptococcal antigen (CrAg) lateral flow assay on blood in a reflex CrAg screen-and-treat programme in South Africa, although Cryptococcus neoformans was identified by culturing the cerebrospinal fluid specimens. Further investigations into these discordant diagnostic results included multilocus sequence typing (which showed no mutations in the CAP59 gene) and transmission electron microscopy using a capsule-staining protocol (which revealed a >50% reduction in capsular material in both cases, relative to a control culture). A multi-disciplinary approach for resolving discordant diagnostic test results is recommended.

As is the case globally, Cryptococcus gattii is a less frequent cause of cryptococcosis than Cryptococcus neoformans in South Africa. We performed multilocus sequence typing (MLST) and fluconazole susceptibility testing of 146 isolates randomly selected from 750 South African patients with C. gattii disease identified through enhanced laboratory surveillance, 2005 to 2013. The dominant molecular type was VGIV (101/146, 70%), followed by VGI (40/146, 27%), VGII (3/146, 2%) and VGIII (2/146, 1%). Among the 146 C. gattii isolates, 99 different sequence types (STs) were identified, with ST294 (14/146, 10%) and ST155 (10/146, 7%) being most commonly observed. The fluconazole MIC₅₀ and MIC₉₀ values of 105 (of 146) randomly selected C. gattii isolates were 4 μg/ml and 16 μg/ml, respectively. VGIV isolates had a lower MIC₅₀ value compared to non-VGIV isolates, but these values were within one double-dilution of each other. HIV-seropositive patients had a ten-fold increased adjusted odds of a VGIV infection compared to HIV-seronegative patients, though with small numbers (99/136; 73% vs. 2/10; 20%), the confidence interval (CI) was wide (95% CI: 1.93–55.31, p = 0.006). Whole genome phylogeny of 98 isolates of South Africa’s most prevalent molecular type, VGIV, identified that this molecular type is highly diverse, with two interesting clusters of ten and six closely related isolates being identified, respectively. One of these clusters consisted only of patients from the Mpumalanga Province in South Africa, suggesting a similar environmental source. This study contributed new insights into the global population structure of this important human pathogen.