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Expansion of MALDI-TOF MS database as a strategy for identification of Haemophilus species other than H. influenzae.
Willems, Eva; Hamerlinck, Hannelore; Messiaen, Anne-Sophie; Schelstraete, Petra; Van Braeckel, Eva; Vande Weygaerde, Yannick; Verhasselt, Bruno; Boelens, Jerina; Vandendriessche, Stien.
Afiliação
  • Willems E; Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • Hamerlinck H; Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • Messiaen AS; Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
  • Schelstraete P; Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • Van Braeckel E; Department of Pediatrics, Ghent University Hospital, Ghent, Belgium.
  • Vande Weygaerde Y; Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.
  • Verhasselt B; Respiratory Infection and Defense Lab (RIDL), Department of Internal Medicine and Paediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
  • Boelens J; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.
  • Vandendriessche S; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.
Acta Clin Belg ; : 1-7, 2024 Aug 05.
Article em En | MEDLINE | ID: mdl-39101268
ABSTRACT

OBJECTIVES:

This study aimed to evaluate an expanded matrix-assisted laser desorption-ionization-time of flight mass spectrometry (MALDI-TOF MS) database for the identification of Haemophilus species other than H. influenzae (Hi).

METHODS:

A total of 144 Haemophilus species, cultured from respiratory samples from people (living) with cystic fibrosis, were identified with MALDI-TOF MS and 16S rRNA sequencing. Of these, 99 Haemophilus strains showed >99% similarity with the best matching strain in the National Center for Biotechnology Information (NCBI) database and were assigned to a single Haemophilus subspecies using both MALDI-TOF MS and 16S rRNA sequencing. The MS profiles of a subset of strains (n = 58/99) were added to the Bruker MALDI-TOF MS database. Subsequently, 270 different strains that were analyzed previously in a routine setting were re-analyzed.

RESULTS:

16S rRNA sequencing reliably identified 99/144 Haemophilus strains (>99% similarity). H. haemolyticus 16S rRNA identification was suboptimal since only 3/21 H. haemolyticus strains attained a similarity of >99% with H. haemolyticus 16S rRNA sequence in the NCBI database. Expansion of the MALDI-TOF MS database improved the number of reliable identifications only moderately for H. haemolyticus, H. influenzae and H. paraphrohaemolyticus (<10%). By contrast, improved identification was more outspoken for H. parahaemolyticus, H. parainfluenzae, H. sputorum and H. pittmaniae (>85%).

CONCLUSION:

16S rRNA sequencing is a valuable method for the identification of Haemophilus sp. other than Hi. Expansion of the MALDI-TOF MS database, based on 16S rRNA sequencing results, increased the proportion of reliable identifications and in this study resulted in an increase of 10% of Haemophilus sp. other than Hi strain identifications.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article