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J Dent Res. 2019 Jun;98(6):642-651. doi: 10.1177/0022034519842853. Epub 2019 Apr 26.

The Saliva Metabolome in Association to Oral Health Status.

Author information

1
1 Unit of Periodontology, Department of Restorative Dentistry, Periodontology, Endodontology, and Pediatric and Preventive Dentistry, Dental School, University Medicine Greifswald, Greifswald, Germany.
2
2 Department of Prosthetic Dentistry, Gerodontology and Biomaterials, Dental School, University Medicine Greifswald, Greifswald, Germany.
3
3 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.
4
4 Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.
5
5 Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, Doha, Qatar.
6
6 Lehrstuhl für Experimentelle Genetik, Technische Universität München, Freising-Weihenstephan, Germany.
7
7 German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany.
8
8 Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
9
9 DZHK (German Center for Cardiovascular Research), Greifswald, Germany.
10
10 Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.

Abstract

Periodontitis is one of the most prevalent oral diseases worldwide and is caused by multifactorial interactions between host and oral bacteria. Altered cellular metabolism of host and microbes releases a number of intermediary end products known as metabolites. There is an increasing interest in identifying metabolites from oral fluids such as saliva to widen the understanding of the complex pathogenesis of periodontitis. It is believed that some metabolites might serve as indicators toward early detection and screening of periodontitis and perhaps even for monitoring its prognosis in the future. Because contemporary periodontal screening methods are deficient, there is an urgent need for novel approaches in periodontal screening procedures. To this end, we associated oral parameters (clinical attachment level, periodontal probing depth, supragingival plaque, supragingival calculus, number of missing teeth, and removable denture) with a large set of salivary metabolites ( n = 284) obtained by mass spectrometry among a subsample ( n = 909) of nondiabetic participants from the Study of Health in Pomerania (SHIP-Trend-0). Linear regression analyses were performed in age-stratified groups and adjusted for potential confounders. A multifaceted image of associated metabolites ( n = 107) was revealed with considerable differences according to age groups. In the young (20 to 39 y) and middle-aged (40 to 59 y) groups, metabolites were predominantly associated with periodontal variables, whereas among the older subjects (≥60 y), tooth loss was strongly associated with metabolite levels. Metabolites associated with periodontal variables were clearly linked to tissue destruction, host defense mechanisms, and bacterial metabolism. Across all age groups, the bacterial metabolite phenylacetate was significantly associated with periodontal variables. Our results revealed alterations of the salivary metabolome in association with age and oral health status. Among our comprehensive panel of metabolites, periodontitis was significantly associated with the bacterial metabolite phenylacetate, a promising substance for further biomarker research.

KEYWORDS:

bacteria; biomarkers; inflammation; metabolism; metabolomics; periodontitis

PMID:
31026179
DOI:
10.1177/0022034519842853

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