Literature DB >> 34718724

Whole genome sequencing confirms Candida albicans and Candida parapsilosis microsatellite sporadic and persistent clones causing outbreaks of candidemia in neonates.

Jesús Guinea1,2,3, Sergio Mezquita1,2, Ana Gómez1,2, Belén Padilla1,2,3, Elena Zamora2,4, Manuel Sánchez-Luna2,4,5, Carlos Sánchez-Carrillo1,2,3, Patricia Muñoz1,2,3,6, Pilar Escribano1,2.   

Abstract

Whole genome sequencing has been extensively used to describe infection outbreaks, although with limited application on Candida albicans and Candida parapsilosis.We retrospectively studied all patients admitted to the neonatal care unit diagnosed with candidemia caused by C. albicans (n = 46) or C. parapsilosis (n = 31) between 2007 and 2010 (Period 1) and 2011 and 2014 (Period 2). All isolates were genotyped by microsatellite markers. A cluster was defined as a group of ≥ 2 patients infected by strains with identical genotypes. For the validation of microsatellite markers and outbreak investigation, phylogenetic analyses and whole genome pairwise strain comparisons were performed.The number of episodes was significantly higher in Period 1 than in Period 2 (51 vs 32; P = 0.003); the reduction in the number of cases coincided with the educational campaign for catheter care implementation in 2011. Overall, eight genotypes were clusters involving 29 patients. All C. albicans (n = 5) and C. parapsilosis (n = 3) clusters were found during Period 1 before the educational campaign. No statistically significant differences were found between the percentage of C. albicans and C. parapsilosis clusters, but the percentage of patients associated to the clusters was significantly higher for C. parapsilosis clusters in comparison to C. albicans clusters (52 vs 28.2%; P = 0.03). Whole genome sequencing confirmed microsatellite-defined clusters with high bootstrap values.Whole genome sequences confirmed microsatellite-defined clusters, corroborating the presence of outbreaks. Persistent or sporadic Candida clusters causing candidemia in neonates disappeared after the implementation of catheter care educational campaigns. LAY
SUMMARY: We retrospectively studied all patients admitted to the neonatal care unit diagnosed with candidemia caused by C. albicans or C. parapsilosis. Reliable whole genome sequences confirmed microsatellite-defined clusters, corroborating the presence of outbreaks before educational campaigns for catheter care.
© The Author(s) 2021. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology.

Entities:  

Keywords:  candidemia; cluster; genotyping; neonates; whole genome sequencing

Mesh:

Year:  2021        PMID: 34718724     DOI: 10.1093/mmy/myab068

Source DB:  PubMed          Journal:  Med Mycol        ISSN: 1369-3786            Impact factor:   4.076


  3 in total

1.  Evidence of Fluconazole-Resistant Candida parapsilosis Genotypes Spreading across Hospitals Located in Madrid, Spain and Harboring the Y132F ERG11p Substitution.

Authors:  Pilar Escribano; Jesús Guinea; Judith Díaz-García; Ana Gómez; Luis Alcalá; Elena Reigadas; Carlos Sánchez-Carrillo; Ana Pérez-Ayala; Elia Gómez-García de la Pedrosa; Fernando González-Romo; Paloma Merino-Amador; María Soledad Cuétara; Coral García-Esteban; Inmaculada Quiles-Melero; Nelly Daniela Zurita; María Muñoz-Algarra; Isabel Sánchez-Romero; María Teresa Durán-Valle; Aída Sánchez-García; Eva Alcoceba; Patricia Muñoz
Journal:  Antimicrob Agents Chemother       Date:  2022-07-19       Impact factor: 5.938

2.  Whole Genome Sequencing, Antibiotic Resistance, and Epidemiology Features of Nontyphoidal Salmonella Isolated From Diarrheic Children: Evidence From North China.

Authors:  Wei Zhao; Xin Li; Xuening Shi; Kewei Li; Ben Shi; Jingyu Sun; Chao Zhao; Juan Wang
Journal:  Front Microbiol       Date:  2022-05-16       Impact factor: 6.064

3.  Establishment of a rapid diagnosis method for Candida glabrata based on the ITS2 gene using recombinase polymerase amplification combined with lateral flow strips.

Authors:  Kun Wang; Li Huo; Yuanyuan Li; Lihua Zhu; Yan Wang; Lei Wang
Journal:  Front Cell Infect Microbiol       Date:  2022-07-28       Impact factor: 6.073

  3 in total

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