Bacterial discrimination by Fourier transform infrared spectroscopy, MALDI-mass spectrometry and whole-genome sequencing

Rachel McGalliard, Howbeer Muhamadali, Najla AlMasoud, Sam Haldenby, Valeria Romero-Soriano, Ellie Allman, Yun Xu, Adam Roberts, Steve Paterson, Enitan D. Carrol, Royston Goodacre

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Aim: Proof-of-concept study, highlighting the clinical diagnostic ability of FT-IR compared with MALDI-TOF MS, combined with WGS. Materials & methods: 104 pathogenic isolates of Neisseria meningitidis, Streptococcus pneumoniae, Streptococcus pyogenes and Staphylococcus aureus were analyzed.

Results: Overall prediction accuracy was 99.6% in FT-IR and 95.8% in MALDI-TOF-MS. Analysis of N. meningitidis serogroups was superior in FT-IR compared with MALDI-TOF-MS. Phylogenetic relationship of S. pyogenes was similar by FT-IR and WGS, but not S. aureus or S. pneumoniae. Clinical severity was associated with the zinc ABC transporter and DNA repair genes in S. pneumoniae and cell wall proteins (biofilm formation, antibiotic and complement permeability) in S. aureus via WGS. Conclusion: FT-IR warrants further clinical evaluation as a promising diagnostic tool.
Original languageEnglish
Pages (from-to)795-810
Number of pages16
JournalFuture Microbiology
Volume19
Issue number9
DOIs
Publication statusPublished - 23 Apr 2024

Keywords

  • diagnostics
  • Fourier transformed infrared (FT-IR) spectroscopy
  • matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS)
  • pediatric pathogens
  • serious bacterial infections (SBI)
  • whole-genome sequencing (WGS)

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