Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls
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Background: The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. To identify characteristics of diseased and healthy saliva we thus wanted to compare saliva metaproteomes from patients with periodontitis and dental caries to healthy individuals. Methods: Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. The proteins in the saliva samples were subjected to denaturing buffer and digested enzymatically with LysC and trypsin. The resulting peptide mixtures were cleaned up by solid-phase extraction and separated online with 2 h gradients by nano-scale C 18 reversed-phase chromatography connected to a mass spectrometer through an electrospray source. The eluting peptides were analyzed on a tandem mass spectrometer operated in data-dependent acquisition mode. Results: We identified a total of 35,664 unique peptides from 4,161 different proteins, of which 1,946 and 2,090 were of bacterial and human origin, respectively. The human protein profiles displayed significant overexpression of the complement system and inflammatory markers in periodontitis and dental caries compared to healthy controls. Bacterial proteome profiles and functional annotation were very similar in health and disease. Conclusions: Overexpression of proteins related to the complement system and inflammation seems to correlate with oral disease status. Similar bacterial proteomes in healthy and diseased individuals suggests that the salivary microbiota predominantly thrives in a planktonic state expressing no disease-associated characteristics of metabolic activity.
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Proteomic applications have been applied to understand changes in the proteome that diverge states of periodontal health from disease and to further characterize various periodontal disease states, including gingivitis, mild, moderate, chronic, and aggressive periodontitis.
“Proteomic applications have been applied to understand changes in the proteome that diverge states of periodontal health from disease and to further characterize various periodontal disease states, including gingivitis, mild, moderate, chronic, and aggressive periodontitis.70, 101, 102, 103, 104”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [101]
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- Authors
- Belstrøm, D., Jersie-Christensen, R. R., Lyon, D., Damgaard, C., Jensen, L. J., Holmstrup, P., & Olsen, J. V.
- Affiliations
- University of Copenhagen (DK)
- Corresponding author
- Belstrøm, Daniel
- ORCID
- Venue
- PeerJ
- Publisher
- PeerJ
- Published
- 2016-09-14
- Volume
- 4
- Pages
- e2433
- ISSN
- 2167-8359 (ISSN-L)
- PMC
- PMC5028799
- OpenAlex
- W2520478522
- Cited by
- 77
- References
- 51
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 7 · 2023: 6 · 2022: 5 · 2021: 8 · 2020: 11 · 2019: 10 · 2018: 6 · 2017: 8
- FWCI
- 11.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PeerJ (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- University of Copenhagen (KU2016 programme)
- Novo Nordisk Foundation (NNF14CC0001)
- Topics
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Health Sciences › Medicine › Physiology › Salivary Gland Disorders and Functions
- Keywords
- periodontitis, dental caries, complement system, inflammatory markers, salivary microbiota, bacterial proteome, oral diseases, stimulated saliva
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