Molecular Epidemiology and Antifungal Resistance of Cryptococcus neoformans From Human Immunodeficiency Virus-Negative and Human Immunodeficiency Virus-Positive Patients in Eastern China
Abstract:Cryptococcosis is an opportunistic and potentially lethal infection caused by Cryptococcus neoformans and Cryptococcus gattii complex, which affects both immunocompromised and immunocompetent people, and it has become a major public health concern worldwide. In this study, we characterized the molecular epidemiology and antifungal susceptibility of 133 C. neoformans isolates from East China Invasive Fungal Infection Group (ECIFIG), 2017–2020. Isolates were identified to species level by matrix-assisted laser d… Show more
“…Using genome assemblies, Mashtree was used to reconstruct the phylogenetic tree efficiently. Not only can CNSCs and CGSCs be clearly distinguished, but subclusters in the major cluster can also be classified, as reported by Ziyi Zhou et al in 2022 in a study that showed that ST5 has different subtypes based on the detection of single nucleotide polymorphism (SNPs) variants ( Zhou et al, 2022 ), and the ST5 cluster and ST31 cluster can be roughly considered CC5 and CC31 ( Fan et al, 2016 ; Cogliati et al, 2019 ; Thanh et al, 2019 ). Furthermore, the relationship between AD hybrids and other CCs could be clearly distinguished.…”
Section: Discussionmentioning
confidence: 93%
“…in 2022 in a study that showed that ST5 has different subtypes based on the detection of single nucleotide polymorphism (SNPs) variants (Zhou et al, 2022), and the ST5 cluster and ST31 cluster can be roughly considered CC5 and CC31 (Fan et al, 2016;Cogliati et al, 2019;Thanh et al, 2019). Furthermore, the relationship between AD hybrids and other CCs could be clearly distinguished.…”
Section: Discussionmentioning
confidence: 99%
“…These results improved the typing methods and revealed the biodiversity of Cryptococcus spp. in China ( Zang et al, 2022 ; Zhou et al, 2022 ).…”
Section: Discussionmentioning
confidence: 99%
“…neoformans JEC21 and Cryptococcus gattii WM276 are 18.57 Mb and 18.4 Mb, respectively, and include 14 chromosomes ( Loftus et al, 2005 ; D’Souza et al, 2011 ). Previous analysis showed that ST5 has different subtypes, which was observed following the detection of single nucleotide polymorphism (SNPs) variants ( Zhou et al, 2022 ), and WGS can further be used to analyse resistance mechanisms and simultaneously acquire other typing features ( Zang et al, 2022 ; Zhou et al, 2022 ). Considering the complexity of Cryptococcus spp.…”
Cryptococcus spp. is a complex species that often causes cryptococcosis, which is one of the most common opportunistic infections in adults living with HIV and has very high morbidity and mortality rates. This study aimed to investigate the antifungal susceptibility profiles and epidemiological characteristics of the Cryptococcus neoformans species complex (CNSC) and the Cryptococcus gattii species complex (CGSC) in Zhejiang Province, China. A total of 177 CNSC and 3 CGSC isolates were collected, and antifungal susceptibility was tested by FUNGUS 3 and verified with an E-test. Moreover, multiple classification methods and genomic analyses were performed. The majority of the isolates (96.11%) were C. neoformans (formerly C. neoformans var. grubii) (ST5-VNI-A-α). Our study highlights that most of the patients with cryptococcosis were non-HIV patients in China, and nearly half of them did not have underlying diseases that led to immune insufficiency. Most of the Cryptococcus spp. isolates in this study were sensitive to common antifungal drugs. Two 5-flucytosine (5-FC)-resistant strains were identified, and FUR1 mutation was detected in the 5-FC-resistant isolates. Typing based on whole-genome sequencing (WGS) showed better discrimination than that achieved with multilocus sequence typing (MLST) and indicated a clear population structure. A phylogenetic analysis based on WGS included more genomic information than traditional classification methods.
“…Using genome assemblies, Mashtree was used to reconstruct the phylogenetic tree efficiently. Not only can CNSCs and CGSCs be clearly distinguished, but subclusters in the major cluster can also be classified, as reported by Ziyi Zhou et al in 2022 in a study that showed that ST5 has different subtypes based on the detection of single nucleotide polymorphism (SNPs) variants ( Zhou et al, 2022 ), and the ST5 cluster and ST31 cluster can be roughly considered CC5 and CC31 ( Fan et al, 2016 ; Cogliati et al, 2019 ; Thanh et al, 2019 ). Furthermore, the relationship between AD hybrids and other CCs could be clearly distinguished.…”
Section: Discussionmentioning
confidence: 93%
“…in 2022 in a study that showed that ST5 has different subtypes based on the detection of single nucleotide polymorphism (SNPs) variants (Zhou et al, 2022), and the ST5 cluster and ST31 cluster can be roughly considered CC5 and CC31 (Fan et al, 2016;Cogliati et al, 2019;Thanh et al, 2019). Furthermore, the relationship between AD hybrids and other CCs could be clearly distinguished.…”
Section: Discussionmentioning
confidence: 99%
“…These results improved the typing methods and revealed the biodiversity of Cryptococcus spp. in China ( Zang et al, 2022 ; Zhou et al, 2022 ).…”
Section: Discussionmentioning
confidence: 99%
“…neoformans JEC21 and Cryptococcus gattii WM276 are 18.57 Mb and 18.4 Mb, respectively, and include 14 chromosomes ( Loftus et al, 2005 ; D’Souza et al, 2011 ). Previous analysis showed that ST5 has different subtypes, which was observed following the detection of single nucleotide polymorphism (SNPs) variants ( Zhou et al, 2022 ), and WGS can further be used to analyse resistance mechanisms and simultaneously acquire other typing features ( Zang et al, 2022 ; Zhou et al, 2022 ). Considering the complexity of Cryptococcus spp.…”
Cryptococcus spp. is a complex species that often causes cryptococcosis, which is one of the most common opportunistic infections in adults living with HIV and has very high morbidity and mortality rates. This study aimed to investigate the antifungal susceptibility profiles and epidemiological characteristics of the Cryptococcus neoformans species complex (CNSC) and the Cryptococcus gattii species complex (CGSC) in Zhejiang Province, China. A total of 177 CNSC and 3 CGSC isolates were collected, and antifungal susceptibility was tested by FUNGUS 3 and verified with an E-test. Moreover, multiple classification methods and genomic analyses were performed. The majority of the isolates (96.11%) were C. neoformans (formerly C. neoformans var. grubii) (ST5-VNI-A-α). Our study highlights that most of the patients with cryptococcosis were non-HIV patients in China, and nearly half of them did not have underlying diseases that led to immune insufficiency. Most of the Cryptococcus spp. isolates in this study were sensitive to common antifungal drugs. Two 5-flucytosine (5-FC)-resistant strains were identified, and FUR1 mutation was detected in the 5-FC-resistant isolates. Typing based on whole-genome sequencing (WGS) showed better discrimination than that achieved with multilocus sequence typing (MLST) and indicated a clear population structure. A phylogenetic analysis based on WGS included more genomic information than traditional classification methods.
“…7 Our reported AMB MIC trend has been described in other studies outside the United States. [35][36][37] In one study that evaluated the MIC distribution of different antifungal agents against Cryptococcus isolates collected from clinical and environmental samples from different countries before 1980 (prior to the HIV epidemic), 71.2% of C.…”
BackgroundThere are no established clinical breakpoints for antifungal agents against Cryptococcus species; however, epidemiological cut‐off values can help distinguish wild‐type (WT) isolates without any acquired resistance from non‐WT strains, which may harbour resistance mechanisms.Patients/MethodsWe describe the trends of antifungal MICs and percentages of WT C. neoformans species complex (CNSC) isolates processed in our reference laboratory from November 2011 to June 2021. There were only nine isolates in 2011, thus, we included them in the year 2012 for data analysis. Clinical data is also described when available.ResultsWe identified 632 CNSC, the majority collected from blood (n = 301), cerebrospinal fluid (n = 230), and respiratory (n = 71) sources. The overall percentage of WT isolates for amphotericin B (AMB), 5‐flucytosine, and fluconazole was 77%, 98%, and 91%, respectively. We noticed a statistically significant change in the percentage of AMB WT isolates over the years, with 98% of isolates being WT in 2012 compared to 79% in 2021 (p < .01). A similar change was not observed for other antifungal agents. Clinical data was available for 36 patients, primarily non‐HIV immunocompromised patients with disseminated cryptococcosis. There were no statistically significant differences in the clinical characteristics and outcomes between patients with WT (58.3%) versus non‐WT (41.7%) isolates, but we noticed higher mortality in patients infected with an AMB non‐WT CNSC isolate.ConclusionsWe observed an increase in the percentage of AMB non‐WT CNSC isolates in the past decade. The clinical implications of this finding warrant further evaluation in larger studies.
Objective
Cryptococcosis is a fatal infection that can affect both immunocompetent and immunocompromised patients, and it is little understood in China’s various regions. This research aimed to look at the epidemiology, risk factors, and antifungal susceptibility pattern of
Cryptococcus neoformans
in eastern Guangdong, China.
Methods
A six-year (2016–2022) retrospective study was conducted at Meizhou People’s Hospital, China. Demographical, clinical, and laboratory data of cryptococcal patients were collected from hospital records and statistically analyzed using the chi-square and ANOVA tests.
Results
Overall, 170 cryptococcal infections were recorded, of which meningitis accounted for 78 (45.88%), cryptococcemia for 50 (29.41%), and pneumonia for 42 (24.7%). The number of cases increased 8-fold during the study duration. The median age of patients was 58 years (Inter quartile range: 47–66), and the high proportion of cases was from the male population (n = 121, 71.17%). The underlying diseases were identified only in 60 (35.29%) patients, of which 26 (15.29%) were severely immunocompromised, and 26 (15.29%) others were mildly immunocompromised. A statistically significant difference was reported for chronic renal failure, and anemia (
p
< 0.05) persisted in cases of three infection types. A high number of non-wild type (NWT) isolates were found against amphotericin B (n=13/145, 8.96%), followed by itraconazole (n=7/136, 5.15%) and voriconazole (n=4/158, 2.53%). Only six isolates (3.79%) were multidrug-resistant, four of which were from cryptococcemia patients. Compared to meningitis and pneumonia, cryptococcemia revealed a higher percentage of NWT isolates (
p
< 0.05).
Conclusion
In high-risk populations, cryptococcal infections require ongoing monitoring and management.
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