ArticleJournal of clinical microbiology2015
Identification of Haemophilus influenzae Type b Isolates by Use of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.
Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
- High-resolution differentiation and identification of the clinically relevant pathogensMicrobiology spectrum · 2026Article
- Haemophilus influenzae and Staphylococcus aureus population shifts during social distancing as monitored by MALDI-TOF MS.Scientific reports · 2025Article
- Promising potential of machine learning-assisted MALDI-TOF MS as an effective detector forApplied and environmental microbiology · 2023Article
- Insights Into Subspecies Discrimination Potentiality From Bacteria MALDI-TOF Mass Spectra by Using Data Mining and Diversity Studies.Frontiers in microbiology · 2020Article
- Nasopharyngeal carriage and antimicrobial susceptibility profile ofAccess microbiology · 2020Article
- Capsule Typing of Haemophilus influenzae by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.Emerging infectious diseases · 2018Article
- Development of a rapid MALDI-TOF MS based epidemiological screening method using MRSA as a model organism.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018Article
- New method for the identification of arbuscular mycorrhizal fungi by proteomic-based biotyping of spores using MALDI-TOF-MS.Scientific reports · 2017Article
- Elucidating constraints for differentiation of major human Klebsiella pneumoniae clones using MALDI-TOF MS.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017Article
- Pushing the Limits of MALDI-TOF Mass Spectrometry: Beyond Fungal Species Identification.Journal of fungi (Basel, Switzerland) · 2015Review
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Haemophilus influenzae type b (Hib) is, in contrast to non-type b H. influenzae, associated with severe invasive disease, such as meningitis and epiglottitis, in small children. To date, accurate H. influenzae capsule typing requires PCR, a time-consuming and cumbersome method. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) provides rapid bacterial diagnostics and is increasingly used in clinical microbiology laboratories. Here, MALDI-TOF MS was evaluated as a novel approach to separate Hib from other H. influenzae. PCR-verified Hib and non-Hib reference isolates were selected based on genetic and spectral characteristics. Mass spectra of reference isolates were acquired and used to generate different classification algorithms for Hib/non-Hib differentiation using both ClinProTools and the MALDI Biotyper software. A test series of mass spectra from 33 Hib and 77 non-Hib isolates, all characterized by PCR, was used to evaluate the algorithms. Several algorithms yielded good results, but the two best were a ClinProTools model based on 22 separating peaks and subtyping main spectra (MSPs) using MALDI Biotyper. The ClinProTools model had a sensitivity of 100% and a specificity of 99%, and the results were 98% reproducible using a different MALDI-TOF MS instrument. The Biotyper subtyping MSPs had a sensitivity of 97%, a specificity of 100%, and 93% reproducibility. Our results suggest that it is possible to use MALDI-TOF MS to differentiate Hib from other H. influenzae. This is a promising method for rapidly identifying Hib in unvaccinated populations and for the screening and surveillance of Hib carriage in vaccinated populations.
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