Literature DB >> 24980571

MALDI-TOF: a useful tool for laboratory identification of uncommon glucose non-fermenting Gram-negative bacteria associated with cystic fibrosis.

Helena Aguilar Peres Homem de Mello de Souza1, Libera Maria Dalla-Costa2,1, Fernando José Vicenzi3,2, Dilair Camargo de Souza1, Carlos Antônio Riedi4, Nelson Augusto Rosario Filho4, Marcelo Pilonetto5,6.   

Abstract

The predisposition of patients with cystic fibrosis (CF) for recurrent pulmonary infections can result in poor prognosis of the disease. Although the clinical significance in CF of micro-organisms, such as Staphylococcus aureus, Haemophilus influenzae and Pseudomonas aeruginosa, is well established, the implication of uncommon glucose non-fermenting Gram-negative bacilli (UGNF-GNB) in respiratory samples from CF patients is still unclear. Because of limitations of traditional methods used in most clinical laboratories, the accurate identification of these microbes is a challenge. Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) is an alternative tool for efficient identification of bacteria. This was a retrospective study to evaluate different identification methods in a collection of UGNF-GNB isolated from children with CF during a period of three years. The performance of MALDI-TOF was compared to that of 16S rDNA gene sequencing and to a conventional and automated phenotypic identification. The discriminatory power of MALDI-TOF (75.0 % agreement) was superior to automated techniques (67.1 % agreement) and to conventional phenotypical identification (50.0 % agreement). MALDI-TOF also demonstrated high accuracy in identifying Stenotrophomonas maltophilia, Achromobacter xylosoxidans and Chryseobacterium indologenes, but had limited utility in identifying Pandoraea spp. and some species of Acinetobacter and Chryseobacterium (other than C. indologenes). Although MALDI-TOF identified only 75 % of the isolates in comparison with 16S rDNA gene sequencing, the prompt identification and high discriminatory power exhibited by MALDI-TOF make it a useful tool for the characterization of micro-organisms that are difficult to identify using routine methods.
© 2014 The Authors.

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Year:  2014        PMID: 24980571     DOI: 10.1099/jmm.0.076869-0

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  9 in total

1.  Comparison of the Vitek MS and Bruker Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Systems for Identification of Chryseobacterium Isolates from Clinical Specimens and Report of Uncommon Chryseobacterium Infections in Humans.

Authors:  Jiun-Nong Lin; Shih-Hua Teng; Chung-Hsu Lai; Chih-Hui Yang; Yi-Han Huang; Hsiu-Fang Lin; Hsi-Hsun Lin
Journal:  J Clin Microbiol       Date:  2018-10-25       Impact factor: 5.948

2.  Characterization of Achromobacter Species in Cystic Fibrosis Patients: Comparison of bla(OXA-114) PCR Amplification, Multilocus Sequence Typing, and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Authors:  Elenice R A Rodrigues; Alex G Ferreira; Robson S Leão; Cassiana C F Leite; Ana Paula Carvalho-Assef; Rodolpho M Albano; Elizabeth A Marques
Journal:  J Clin Microbiol       Date:  2015-12       Impact factor: 5.948

3.  Discrepancy in MALDI-TOF MS identification of uncommon Gram-negative bacteria from lower respiratory secretions in patients with cystic fibrosis.

Authors:  Atqah AbdulWahab; Saad J Taj-Aldeen; Emad Bashir Ibrahim; Eman Talaq; Marawan Abu-Madi; Rashmi Fotedar
Journal:  Infect Drug Resist       Date:  2015-04-30       Impact factor: 4.003

4.  Challenges in the identification of Chryseobacterium indologenes and Elizabethkingia meningoseptica in cases of nosocomial infections and patients with cystic fibrosis.

Authors:  É B de Carvalho Filho; F A L Marson; C E Levy
Journal:  New Microbes New Infect       Date:  2017-09-13

5.  MALDI-TOF mass spectrometry: An emerging tool for unequivocal identification of non-fermenting Gram-negative bacilli.

Authors:  Vikas Gautam; Megha Sharma; Lipika Singhal; Sunil Kumar; Parvinder Kaur; Rupinder Tiwari; Pallab Ray
Journal:  Indian J Med Res       Date:  2017-05       Impact factor: 2.375

Review 6.  Laboratory Automation in Clinical Microbiology.

Authors:  Irene Burckhardt
Journal:  Bioengineering (Basel)       Date:  2018-11-22

7.  The Clinical Utility of Two High-Throughput 16S rRNA Gene Sequencing Workflows for Taxonomic Assignment of Unidentifiable Bacterial Pathogens in Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.

Authors:  Hiu-Yin Lao; Timothy Ting-Leung Ng; Ryan Yik-Lam Wong; Celia Sze-Ting Wong; Lam-Kwong Lee; Denise Sze-Hang Wong; Chloe Toi-Mei Chan; Stephanie Hoi-Ching Jim; Jake Siu-Lun Leung; Hazel Wing-Hei Lo; Ivan Tak-Fai Wong; Miranda Chong-Yee Yau; Jimmy Yiu-Wing Lam; Alan Ka-Lun Wu; Gilman Kit-Hang Siu
Journal:  J Clin Microbiol       Date:  2021-11-17       Impact factor: 5.948

8.  Advances in the Microbiology of Stenotrophomonas maltophilia.

Authors:  Joanna S Brooke
Journal:  Clin Microbiol Rev       Date:  2021-05-26       Impact factor: 50.129

9.  Recent Advances and Ongoing Challenges in the Diagnosis of Microbial Infections by MALDI-TOF Mass Spectrometry.

Authors:  Walter Florio; Arianna Tavanti; Simona Barnini; Emilia Ghelardi; Antonella Lupetti
Journal:  Front Microbiol       Date:  2018-05-29       Impact factor: 5.640

  9 in total

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