Candida auris and Nosocomial Infection

2020 ◽  
Vol 21 (4) ◽  
pp. 365-373 ◽  
Author(s):  
Sweety Dahiya ◽  
Anil K. Chhillar ◽  
Namita Sharma ◽  
Pooja Choudhary ◽  
Aruna Punia ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Pathogenic Fungus ◽  
Control Measures ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Drug Resistant ◽  
Candida Auris ◽  
Preventive Control ◽  
Identification Techniques ◽  
Sensitivity Profile

The existence of the multi-drug resistant (MDR) pathogenic fungus, Candida auris came to light in 2009. This particular organism is capable of causing nosocomial infections in immunecompromised persons. This pathogen is associated with consistent candidemia with high mortality rate and presents a serious global health threat. Whole genome sequence (WGS) investigation detected powerful phylogeographic Candida auris genotypes which are specialized to particular geological areas indicating dissemination of particular genotype among provinces. Furthermore, this organism frequently exhibits multidrug-resistance and displays an unusual sensitivity profile. Identification techniques that are commercialized to test Candida auris often show inconsistent results and this misidentification leads to treatment failure which complicates the management of candidiasis. Till date, Candida auris has been progressively recorded from several countries and therefore its preventive control measures are paramount to interrupt its transmission. In this review, we discussed prevalence, biology, drug-resistance phenomena, virulence factors and management of Candida auris infections.

scholarly journals Whole-genome sequence analysis and comparisons between drug-resistance mutations and minimum inhibitory concentrations of Mycobacterium tuberculosis isolates causing M/XDR-TB

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244829
Author(s):  
Ditthawat Nonghanphithak ◽  
Orawee Kaewprasert ◽  
Pratchakan Chaiyachat ◽  
Wipa Reechaipichitkul ◽  
Angkana Chaiprasert ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Mycobacterium Tuberculosis ◽  
Drug Susceptibility ◽  
Multidrug Resistant ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Drug Resistant ◽  
Resistance Mutations ◽  
Tb 34 ◽  
Susceptibility Tests

Drug resistance (DR) remains a major challenge for tuberculosis (TB) control. Whole-genome sequencing (WGS) provides the highest genetic resolution for genotypic drug-susceptibility tests (DST). We compared DST profiles of 60 Mycobacterium tuberculosis isolates which were drug resistant according to agar proportion tests (one poly DR-TB, 34 multidrug-resistant TB and 25 extensively drug-resistant TB). We additionally performed minimum inhibitory concentration (MIC) tests using Sensititre MYCOTBI plates (MYCOTB) and a WGS-based DST. Agreement between WGS-based DST and MYCOTB was high for all drugs except ethambutol (65%) and ethionamide (62%). Isolates harboring the -15 c/t inhA promoter mutation had a significantly lower MIC for isoniazid than did isolates with the katG Ser315Thr mutation (p < 0.001). Similar patterns were seen for ethambutol (embB Gly406Asp vs. embB Met306Ile), streptomycin (gid Gly73Ala vs. rpsL Lys43Arg), moxifloxacin (gyrA Ala90Val vs. gyrA Asp94Gly) and rifabutin (rpoB Asp435Phe/Tyr/Val vs. rpoB Ser450Leu). For genotypic heteroresistance, isolates with lower proportion of mapped read tended to has lower MIC of anti-TB drugs than those with higher proportion. These results emphasize the high applicability of WGS for determination of DR-TB and the association of particular mutations with MIC levels.

scholarly journals Whole Genome Sequence and Comparative Genomics Analysis of Multi-drug Resistant EnvironmentalStaphylococcus epidermidisST59

2018 ◽  
Vol 8 (7) ◽  
pp. 2225-2230 ◽  
Author(s):  
Zhen Xu ◽  
Raju Misra ◽  
Dorota Jamrozy ◽  
Gavin K. Paterson ◽  
Ronald R. Cutler ◽  
...  
Keyword(s):  
Comparative Genomics ◽  
Genome Sequence ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Drug Resistant ◽  
Comparative Genomics Analysis

scholarly journals Epidemiology and Whole Genome Sequence Typing of Globally Emerging, Multidrug-Resistant Candida auris

2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Kizee Etienne ◽  
Snigdha Vallabhaneni ◽  
Joveria Farooqi ◽  
Rana Jawad Asghar ◽  
Anuradha Chowdhary ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Multidrug Resistant ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Candida Auris

scholarly journals Molecular epidemiology of Candida auris in Qatar using whole genome sequence data

2021 ◽  
Vol 3 (12) ◽  
Author(s):  
Husam Salah ◽  
Sathyavathi Sundararaju ◽  
Lamya Dalil ◽  
Patrick Tang ◽  
Walid Al-Wali ◽  
...  
Keyword(s):  
Sequence Data ◽  
Multidrug Resistant ◽  
Hospital Environment ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Resistance Mutations ◽  
Candida Auris ◽  
East Region ◽  
Echinocandin Resistance ◽  
Middle East Region

Candida auris is an emerging, multidrug resistant fungal pathogen that has become a public health threat worldwide. Candida auris spreads easily among patients within and between hospitals, and the incidence of infections has increased substantially in the last decade. Multiple C. auris outbreaks have been reported worldwide including India, USA and United Kingdom. Infections and outbreaks caused by C. auris have also been reported in the Middle East region including Kuwait, Oman, Saudi Arabia, and Qatar; however, the origin of these isolates is largely unknown. This study uses whole genome sequencing (WGS) data to determine the epidemiology and the drug resistance mutations from C. auris in Qatar. Forty samples isolated from the patients and the hospital environment were sequenced by Illumina Nextseq. Core genome SNPs revealed that all isolates belonged to the Indian lineage, which could be originated from the expatriate labour from South Asia. The genetic variability among the isolates was low but comprised of more than one genetic cluster. The environmental isolates were identical to the clinical isolates, and the isolates from patients of different hospitals/outbreaks clustered together, suggesting the transmission of C. auris could be linked to infected/colonized patients and the hospital environment. Mutations associated with azole and echinocandin resistance were discussed.

Diagnostic performance of whole-genome sequencing for identifying drug-resistant TB in Thailand

2021 ◽  
Vol 25 (9) ◽  
pp. 754-760
Author(s):  
P. Kamolwat ◽  
D. Nonghanphithak ◽  
A. Chaiprasert ◽  
S. Smithtikarn ◽  
P. Pungrassami ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Diagnostic Performance ◽  
Drug Susceptibility ◽  
Drug Susceptibility Testing ◽  
Whole Genome ◽  
Drug Resistant ◽  
Aminosalicylic Acid ◽  
Promising Tool

BACKGROUND: Whole-genome sequencing (WGS) is a promising tool for the detection of drug-resistant TB (DR-TB). To date, there have been few comparisons of diagnostic performance of WGS and phenotypic drug susceptibility testing (DST) in DR-TB.METHODS: We compared drug resistance-conferring mutations identified by WGS analysis using TB-Profiler and Mykrobe with phenotypic DST profiles based on the Löwenstein-Jensen proportion method using drug-resistant Mycobacterium tuberculosis (n = 537) isolates from across Thailand. Based on available phenotypic DST results, diagnostic performance was analysed for resistance against isoniazid, rifampicin, ethambutol (EMB), streptomycin, ethionamide (ETH), kanamycin, capreomycin (CPM), para-aminosalicylic acid, ofloxacin and levofloxacin.RESULTS: High agreement between the two methods was observed for most drugs (>91%), except EMB (57%, 95% CI 53–61) and ETH (70%, 95% CI 66–74). Also, low specificity was observed for EMB (49%, 95% CI 44–54) and ETH (66%, 95% CI 61–71). Sensitivity was high for most drugs (range 83–98%), except CPM (77%, 95% CI 59–88).CONCLUSION: Low agreement between WGS and phenotypic tests for drug resistance was found for EMB and ETH. The current genomic database is insufficient for the identification of CPM resistance. Challenges remain for routine usage of WGS-based DST, especially for second-line anti-TB drugs.

scholarly journals Multi-omics Signature of Candida auris, an Emerging and Multidrug-Resistant Pathogen

mSystems ◽  
2019 ◽  
Vol 4 (4) ◽  
Author(s):  
Daniel Zamith-Miranda ◽  
Heino M. Heyman ◽  
Levi G. Cleare ◽  
Sneha P. Couvillion ◽  
Geremy C. Clair ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Protein Content ◽  
Pathogenic Fungus ◽  
Multidrug Resistant ◽  
Antifungal Resistance ◽  
Clinical Isolates ◽  
Medical Mycology ◽  
Carbon Utilization ◽  
Candida Auris ◽  
Content Type

ABSTRACT Candida auris is a recently described pathogenic fungus that is causing invasive outbreaks on all continents. The fungus is of high concern given the numbers of multidrug-resistant strains that have been isolated in distinct sites across the globe. The fact that its diagnosis is still problematic suggests that the spreading of the pathogen remains underestimated. Notably, the molecular mechanisms of virulence and antifungal resistance employed by this new species are largely unknown. In the present work, we compared two clinical isolates of C. auris with distinct drug susceptibility profiles and a Candida albicans reference strain using a multi-omics approach. Our results show that, despite the distinct drug resistance profile, both C. auris isolates appear to be very similar, albeit with a few notable differences. However, compared to C. albicans both C. auris isolates have major differences regarding their carbon utilization and downstream lipid and protein content, suggesting a multifactorial mechanism of drug resistance. The molecular profile displayed by C. auris helps to explain the antifungal resistance and virulence phenotypes of this new emerging pathogen. IMPORTANCE Candida auris was first described in Japan in 2009 and has now been the cause of significant outbreaks across the globe. The high number of isolates that are resistant to one or more antifungals, as well as the high mortality rates from patients with bloodstream infections, has attracted the attention of the medical mycology, infectious disease, and public health communities to this pathogenic fungus. In the current work, we performed a broad multi-omics approach on two clinical isolates isolated in New York, the most affected area in the United States and found that the omic profile of C. auris differs significantly from C. albicans. In addition to our insights into C. auris carbon utilization and lipid and protein content, we believe that the availability of these data will enhance our ability to combat this rapidly emerging pathogenic yeast.

scholarly journals Whole-genome sequence of Arthrinium phaeospermum, a globally distributed pathogenic fungus

Genomics ◽  
2020 ◽  
Vol 112 (1) ◽  
pp. 919-929 ◽  
Author(s):  
Shujiang Li ◽  
Yaowen Tang ◽  
Xinmei Fang ◽  
Tianmin Qiao ◽  
Shan Han ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Pathogenic Fungus ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Arthrinium Phaeospermum ◽  
Globally Distributed

scholarly journals Candida auris Whole-Genome Sequence Benchmark Dataset for Phylogenomic Pipelines

2021 ◽  
Vol 7 (3) ◽  
pp. 214
Author(s):  
Rory M. Welsh ◽  
Elizabeth Misas ◽  
Kaitlin Forsberg ◽  
Meghan Lyman ◽  
Nancy A. Chow
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Epidemiological Data ◽  
Benchmark Dataset ◽  
Whole Genome Sequence ◽  
Whole Genome Sequencing Data ◽  
Whole Genome ◽  
Sequencing Data ◽  
Candida Auris ◽  
Surveillance Networks

Candida auris is a multidrug-resistant pathogen that represents a serious public health threat due to its rapid global emergence, increasing incidence of healthcare-associated outbreaks, and high rates of antifungal resistance. Whole-genome sequencing and genomic surveillance have the potential to bolster C. auris surveillance networks moving forward. Laboratories conducting genomic surveillance need to be able to compare analyses from various national and international surveillance partners to ensure that results are mutually trusted and understood. Therefore, we established an empirical outbreak benchmark dataset consisting of 23 C. auris genomes to help validate comparisons of genomic analyses and facilitate communication among surveillance networks. Our outbreak benchmark dataset represents a polyclonal phylogeny with three subclades. The genomes in this dataset are from well-vetted studies that are supported by multiple lines of evidence, which demonstrate that the whole-genome sequencing data, phylogenetic tree, and epidemiological data are all in agreement. This C. auris benchmark set allows for standardized comparisons of phylogenomic pipelines, ultimately promoting effective C. auris collaborations.

scholarly journals Mortality of Drug-resistant Tuberculosis in High-burden Countries: Comparison of Routine Drug Susceptibility Testing with Whole-genome Sequencing

2020 ◽  
Author(s):  
Martina L. Reichmuth ◽  
Kathrin Zürcher ◽  
Marie Ballif ◽  
Chloé Loiseau ◽  
Sonia Borrell ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Susceptibility Testing ◽  
Drug Susceptibility ◽  
Drug Susceptibility Testing ◽  
Whole Genome ◽  
Drug Resistant ◽  
Hiv Status ◽  
High Burden

AbstractBackgroundDrug-resistant Mycobacterium tuberculosis (Mtb) strains threaten tuberculosis (TB) control. We compared data on drug resistance obtained at clinics in seven high TB burden countries during routine care with whole-genome sequencing (WGS) carried out centrally.MethodsWe collected pulmonary Mtb isolates and clinical data from adult TB patients in Africa, Latin America, and Asia, stratified by HIV status and drug resistance, from 2013 to 2016. Participating sites performed drug susceptibility testing (DST) locally, using routinely available methods. WGS was done using Illumina HiSeq 2500 at laboratories in the USA and Switzerland. We used TBprofiler to analyse the genomes. We used multivariable logistic regression adjusted for sex, age, HIV-status, history of TB, sputum positivity, and Mtb-lineage to analyse mortality.FindingsWe included 582 TB patients. The median age was 32 years (interquartile range: 27-43 years), 225 (39%) were female, and 247 (42%) were HIV-positive. Based on WGS, 339 (58%) isolates were pan-susceptible, 35 (6%) monoresistant, 146 (25%) multidrug-resistant, and 24 (4%) pre-/ extensively drug-resistant (pre-XDR/XDR-TB). The local DST results were discordant compared to WGS results in 130/582 (22%) of patients. All testing methods identified isoniazid and rifampicin resistance with relatively high agreement (kappa 0.69 for isoniazid and 0.88 rifampicin). Resistance to ethambutol, pyrazinamide, and second-line drugs was rarely tested locally. Of 576 patients with known treatment, 86 (15%) patients received inadequate treatment according to WGS results and the World Health Organization treatment guidelines. The analysis of mortality was based on 530 patients; 63 patients (12%) died and 77 patients (15%) received inadequate treatment. Mortality ranged from 6% in patients with pan-susceptible Mtb (18/310) to 39% in patients with pre-XDR/XDR-TB (9/23). The adjusted odds ratio for mortality was 4.82 (95% CI 2.43-9.44) for under-treatment and 0.52 (95% CI 0.03-2.73) for over-treatment.InterpretationIn seven high-burden TB countries, we observed discrepancies between drug resistance patterns from local DST and WGS, which resulted in inadequate treatment and higher mortality. WGS can provide accurate and detailed drug resistance information, which is required to improve the outcomes of drug-resistant TB in high burden settings. Our results support the WHO’s call for point-of-care tests based on WGS.

scholarly journals Comparative Analysis of Plasmodium falciparum Genotyping via SNP Detection, Microsatellite Profiling, and Whole-Genome Sequencing

2021 ◽  
Author(s):  
Mariko Kanai ◽  
Tomas Yeo ◽  
Victor Asua ◽  
Philip J. Rosenthal ◽  
David A. Fidock ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Plasmodium Falciparum ◽  
Multidrug Resistant ◽  
Whole Genome Sequence ◽  
Sequence Information ◽  
Whole Genome ◽  
Single Nucleotide ◽  
Typing Methods ◽  
Greater Mekong Subregion

Research efforts to combat antimalarial drug resistance rely on quick, robust, and sensitive methods to genetically characterize Plasmodium falciparum parasites. We developed a single-nucleotide polymorphism (SNP)-based genotyping method that can assess 33 drug resistance-conferring SNPs in dhfr, dhps, pfmdr1, pfcrt, and k13 in nine PCR reactions, performed directly from P. falciparum cultures or infected blood. We also optimized multiplexed fragment analysis and gel electrophoresis-based microsatellite typing methods using a set of five markers that can distinguish 12 laboratory strains of diverse geographical and temporal origin. We demonstrate how these methods can be applied to screen for the multidrug-resistant KEL1/PLA1/PfPailin (KelPP) lineage that has been sweeping across the Greater Mekong Subregion, verify parasite in vitro SNP-editing, identify novel recombinant genetic cross progeny, or cluster strains to infer their geographical origins. Results were compared with Illumina-based whole-genome sequence analysis that provides the most detailed sequence information but is cost-prohibitive. These adaptable, simple, and inexpensive methods can be easily implemented into routine genotyping of P. falciparum parasites in both laboratory and field settings.

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