Literature DB >> 27663468

Identification and typing of free-living Acanthamoeba spp. by MALDI-TOF MS Biotyper.

Federica Del Chierico1, David Di Cave2, Cristel Accardi3, Maristella Santoro2, Andrea Masotti4, Rossella D'Alfonso5, Federica Berrilli2, Andrea Urbani6, Lorenza Putignani7.   

Abstract

Over the years, the potential pathogenicity of Acanthamoeba for humans and animals has gained increasing attention from the scientific community. More than 24 species belong to this genus, however only some of them are causative agents of keratitis and encephalitis in humans. Due to technical difficulties in diagnosis, these infections are likely to be under-detected. The introduction of 18S rDNA amplification for the identification of Acanthamoeba has dramatically enhanced diagnosis performances, but the attestation of genotyping requires supplementary sequencing-based procedures. In this study, 15 Acanthamoeba strains were collected and grown on nutrient agar media. Each strain was genotyped by end-point PCR assay for the amplification of the 18S rDNA gene and the genotype was assigned by sequencing analysis through neighbor joining phylogenetic tree. In order to optimize standardization of the MALDI-TOF MS assay, we established the collection time point at the cystic phase. Two strains of each genotype were randomly chosen to customize the biotyper database. For all strains, 24 spectral measurements were acquired and submitted to identification and cluster analysis of spectra. The obtained results highlighted the correct identification of Acanthamoeba strains and the overlapping of spectra dendrogram clusters to the 18S genotype assignations. In conclusion, the MALDI-TOF MS Biotyper revealed the capability to identify and genotype the Acanthamoeba strains, providing a new frontier in the diagnostic identification of amaebae and in taxonomic and phylogenetic studies.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acanthamoeba genotyping; MALDI-TOF MS - based analytical identification assay; MALDI-TOF MS Biotyper

Mesh:

Substances:

Year:  2016        PMID: 27663468     DOI: 10.1016/j.exppara.2016.09.007

Source DB:  PubMed          Journal:  Exp Parasitol        ISSN: 0014-4894            Impact factor:   2.011


  5 in total

1.  Protein profiling of Acanthamoeba species using MALDI-TOF MS for specific identification of Acanthamoeba genotype.

Authors:  Kirti Megha; Megha Sharma; Amit Gupta; Rakesh Sehgal; Sumeeta Khurana
Journal:  Parasitol Res       Date:  2018-01-17       Impact factor: 2.289

Review 2.  MALDI-TOF MS Profiling-Advances in Species Identification of Pests, Parasites, and Vectors.

Authors:  Jayaseelan Murugaiyan; Uwe Roesler
Journal:  Front Cell Infect Microbiol       Date:  2017-05-15       Impact factor: 5.293

3.  Serological proteomic biomarkers to identify Paracoccidioides species and risk of relapse.

Authors:  Tatiane Fernanda Sylvestre; Ricardo de Souza Cavalcante; Julhiany de Fátima da Silva; Anamaria Mello Miranda Paniago; Simone Schneider Weber; Bianca Alves Pauletti; Lídia Raquel de Carvalho; Lucilene Delazari Dos Santos; Rinaldo Poncio Mendes
Journal:  PLoS One       Date:  2018-08-29       Impact factor: 3.240

4.  Combination of MALDI-TOF Mass Spectrometry and Machine Learning for Rapid Antimicrobial Resistance Screening: The Case of Campylobacter spp.

Authors:  Maureen Feucherolles; Morgane Nennig; Sören L Becker; Delphine Martiny; Serge Losch; Christian Penny; Henry-Michel Cauchie; Catherine Ragimbeau
Journal:  Front Microbiol       Date:  2022-02-18       Impact factor: 5.640

5.  Ceruloplasmin, transferrin and apolipoprotein A-II play important role in treatment's follow-up of paracoccidioidomycosis patients.

Authors:  Tatiane Fernanda Sylvestre; Ricardo de Souza Cavalcante; Julhiany de Fátima da Silva; Anamaria Mello Miranda Paniago; Simone Schneider Weber; Bianca Alves Pauletti; Lídia Raquel de Carvalho; Lucilene Delazari Dos Santos; Rinaldo Poncio Mendes
Journal:  PLoS One       Date:  2018-10-25       Impact factor: 3.240

  5 in total

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