Metabolomic Analysis of Gingival Crevicular Fluid Using Gas Chromatography/Mass Spectrometry

  • Ozeki Miho
    Department of Physics, Graduate School of Science, Osaka University
  • Nozaki Takenori
    Department of Periodontology, Graduate School of Dentistry, Osaka University
  • Aoki Jun
    Department of Physics, Graduate School of Science, Osaka University Project Research Center for Fundamental Sciences, Graduate School of Science, Osaka University
  • Bamba Takeshi
    Division of Metabolomics Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University
  • Jensen Kirk R.
    Project Research Center for Fundamental Sciences, Graduate School of Science, Osaka University
  • Murakami Shinya
    Department of Periodontology, Graduate School of Dentistry, Osaka University
  • Toyoda Michisato
    Department of Physics, Graduate School of Science, Osaka University Project Research Center for Fundamental Sciences, Graduate School of Science, Osaka University

Abstract

Periodontitis is one of the most prevalent threats to oral health as the most common cause of tooth loss. In order to perform effective treatment, a clinical test that detect sites where disease activity is high and predicts periodontal tissue destruction is strongly desired, however, it is still difficult to prognose the periodontal tissue breakdown on the basis of conventional methods. The aim of this study is to examine the usefulness of gas chromatography/mass spectrometry (GC/MS), which could eventually be used for on-site analysis of metabolites in gingival crevicular fluid (GCF) in order to objectively diagnose periodontitis at a molecular level. GCF samples were collected from two diseased sites (one site with a moderate pocket and another site with a deep pocket) from each patient and from clinically healthy sites of volunteers.Nineteen metabolites were identified using GC/MS. Total ion current chromatograms showed broad differences in metabolite peak patterns between GCF samples obtained from healthy sites, moderate-pocket sites, and deep-pocket sites. The intensity difference of some metabolites was significant at sites with deep pockets compared to healthy sites. Additionally, metabolite intensities at moderate-pocket sites showed an intermediate profile between the severely diseased sites and healthy sites, which suggested that periodontitis progression could be observed with a changing metabolite profile. Principal component analysis confirmed these observations by clearly delineating healthy sites and sites with deep pockets. These results suggest that metabolomic analysis of GCF could be useful for prediction and diagnosis of periodontal disease in a single visit from a patient and provides the groundwork for establishing a new, on-site diagnostic method for periodontitis.

Journal

  • Mass Spectrometry

    Mass Spectrometry 5 (1), A0047-A0047, 2016

    The Mass Spectrometry Society of Japan

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