Identification of microorganisms in biofluids of individuals with periodontitis and chronic kidney disease using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Rapid Commun Mass Spectrom. 2016 May 30;30(10):1228-1232. doi: 10.1002/rcm.7555.

Abstract

Rationale: Chronic kidney disease (CKD) and periodontitis (PD) are important health issues. There is a large variety of microorganisms related to the pathogenesis of periodontitis, and optimising the time and the cost of laboratory assays to detect these organisms is highly valuable in the medical field.

Methods: Bacteria were isolated from saliva and oral biofilm of 30 adolescents and young adults with definite medical and dental diagnosis of CKD and PD, respectively, and proteins were extracted for microorganism identification by means of the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) technique.

Results: The results showed that the most incident microorganisms were Actinomyces dentalis (43%), Acinetobacter ursingi (60%), Aggregatibacter actinomycetencomitans (60%), Corynebacterium argentoctens (63%), Staphylococcus aureus (93%), Streptococcus salivarius (97%) and Tannerella forsythensis (43%). The analysis of oral biofilm showed higher incidences for Actinomyces dentalis (33%), Acinetobacter ursingi (50%), Aggregatibacter actinomycetencomitans (50%), Corynebacterium argentoctens (70%), Pseudomonas aeruginosa (40%), Staphylococcus aureus (73%) and Streptococcus salivarius (87%).

Conclusions: Based on these results, we concluded that the MALDI Biotyper protocol proves useful as a rapid and reliable assay for distinguishing different microorganisms possibly related to CKD and PD. Copyright © 2016 John Wiley & Sons, Ltd.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacteria / isolation & purification*
  • Humans
  • Periodontitis / microbiology*
  • Renal Insufficiency, Chronic / microbiology*
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*