Literature DB >> 26070962

Analysis of clinical and environmental Candida parapsilosis isolates by microsatellite genotyping--a tool for hospital infection surveillance.

R Sabino1, P Sampaio2, L Rosado3, Z Videira4, F Grenouillet5, C Pais2.   

Abstract

Candida parapsilosis emerged as an important opportunistic pathogen, causing candidaemia worldwide. Nosocomial outbreaks triggered by this species have been frequently described, particularly in cancer patients. For a better understanding of its epidemiology, several typing methods are used and microsatellite analysis has been reported as highly discriminant. The main objective of this work was to study C. parapsilosis isolates by application of microsatellite genotyping to distinguish epidemiologically related strains, compare clinical and environmental isolates and determine possible routes of dispersion of the isolates in the hospital setting. A total of 129 C. parapsilosis isolates from different origins, including hospital environment and hands of healthcare workers, were genotyped using four microsatellite markers. The isolates were recovered from different health institutions. Analysis of C. parapsilosis isolates from hospital environment showed great genotypic diversity; however, the same or very similar genotypes were also found. The same multilocus genotype was shared by isolates recovered from the hand of a healthcare worker, from the hospital environment and from patients of the same healthcare institution, suggesting that these could be possible routes of transmission and that infections due to C. parapsilosis may be mainly related with exogenous transmission to the patient. Examination of sequential isolates from the same patients showed that colonizing and bloodstream isolates had the same multilocus genotype in the majority of cases. We demonstrate that this typing method is able to distinguish clonal clusters from genetically unrelated genotypes and can be a valuable tool to support epidemiologic investigations in the hospital setting.
Copyright © 2015 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Candida parapsilosis; healthcare workers; hospital air and surfaces; microsatellite genotyping; nosocomial infections

Mesh:

Year:  2015        PMID: 26070962     DOI: 10.1016/j.cmi.2015.06.001

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  12 in total

Review 1.  Investigating Clinical Issues by Genotyping of Medically Important Fungi: Why and How?

Authors:  Alexandre Alanio; Marie Desnos-Ollivier; Dea Garcia-Hermoso; Stéphane Bretagne
Journal:  Clin Microbiol Rev       Date:  2017-07       Impact factor: 26.132

2.  Population Structure of Candida parapsilosis: No Genetic Difference Between French and Uruguayan Isolates Using Microsatellite Length Polymorphism.

Authors:  Marie Desnos-Ollivier; Victoria Bórmida; Philippe Poirier; Céline Nourrisson; Dinorah Pan; Stéphane Bretagne; Andrès Puime; Françoise Dromer
Journal:  Mycopathologia       Date:  2017-11-16       Impact factor: 2.574

3.  Candidemia by Candida parapsilosis in a neonatal intensive care unit: human and environmental reservoirs, virulence factors, and antifungal susceptibility.

Authors:  Ralciane de Paula Menezes; Sávia Gonçalves de Oliveira Melo; Meliza Arantes Souza Bessa; Felipe Flávio Silva; Priscila Guerino Vilela Alves; Lúcio Borges Araújo; Mário Paulo Amante Penatti; Vânia Olivetti Steffen Abdallah; Denise von Dollinger de Brito Röder; Reginaldo Dos Santos Pedroso
Journal:  Braz J Microbiol       Date:  2020-02-15       Impact factor: 2.476

4.  Genetic Diversity and Antifungal Susceptibility of Candida parapsilosis Sensu Stricto Isolated from Bloodstream Infections in Turkish Patients.

Authors:  Süleyha Hilmioğlu-Polat; Somayeh Sharifynia; Yasemin Öz; Müge Aslan; Nuray Gündoğdu; Ayşe Serin; Haleh Rafati; Faezeh Mohammadi; Dilek Yeşim-Metin; Aylin Döğen; Macit Ilkit; Seyedmojtaba Seyedmousavi
Journal:  Mycopathologia       Date:  2018-05-03       Impact factor: 2.574

5.  Molecular Genotyping of Candida parapsilosis Species Complex.

Authors:  Sourour Neji; Ines Hadrich; Amine Ilahi; Houaida Trabelsi; Hedi Chelly; Nadia Mahfoudh; Fatma Cheikhrouhou; Hayet Sellami; Fattouma Makni; Ali Ayadi
Journal:  Mycopathologia       Date:  2018-07-11       Impact factor: 2.574

Review 6.  Pushing the Limits of MALDI-TOF Mass Spectrometry: Beyond Fungal Species Identification.

Authors:  Cosmeri Rizzato; Lisa Lombardi; Marina Zoppo; Antonella Lupetti; Arianna Tavanti
Journal:  J Fungi (Basel)       Date:  2015-10-16

7.  Design and validation of a multiplex PCR protocol for microsatellite typing of Candida parapsilosis sensu stricto isolates.

Authors:  Camino Trobajo-Sanmartín; Guillermo Ezpeleta; Célia Pais; Elena Eraso; Guillermo Quindós
Journal:  BMC Genomics       Date:  2018-09-29       Impact factor: 3.969

8.  Molecular Characterization of Candida parapsilosis by Microsatellite Typing and Emergence of Clonal Antifungal Drug Resistant Strains in a Multicenter Surveillance in China.

Authors:  Li Zhang; Shu-Ying Yu; Sharon C-A Chen; Meng Xiao; Fanrong Kong; He Wang; Ya-Ting Ning; Min-Ya Lu; Tian-Shu Sun; Xin Hou; Meng-Lan Zhou; Wei Kang; Ge Zhang; Si-Meng Duan; Ying-Chun Xu
Journal:  Front Microbiol       Date:  2020-06-16       Impact factor: 5.640

9.  High-resolution fingerprinting of Candida parapsilosis isolates suggests persistence and transmission of infections among neonatal intensive care unit patients in Kuwait.

Authors:  Mohammad Asadzadeh; Suhail Ahmad; Noura Al-Sweih; Ferry Hagen; Jacques F Meis; Ziauddin Khan
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

10.  Candida tropicalis is the most prevalent yeast species causing candidemia in Algeria: the urgent need for antifungal stewardship and infection control measures.

Authors:  Youcef Megri; Amir Arastehfar; Teun Boekhout; Farnaz Daneshnia; Caroline Hörtnagl; Bettina Sartori; Ahmed Hafez; Weihua Pan; Cornelia Lass-Flörl; Boussad Hamrioui
Journal:  Antimicrob Resist Infect Control       Date:  2020-04-07       Impact factor: 4.887

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