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Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls

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Standard

Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls. / Belstrøm, Daniel; Jersie-Christensen, Rosa R; Lyon, David; Damgaard, Christian; Jensen, Lars J; Holmstrup, Palle; Olsen, Jesper V.

I: PeerJ, Bind 4, e2433, 2016.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Belstrøm, D, Jersie-Christensen, RR, Lyon, D, Damgaard, C, Jensen, LJ, Holmstrup, P & Olsen, JV 2016, 'Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls', PeerJ, bind 4, e2433. https://doi.org/10.7717/peerj.2433

APA

Belstrøm, D., Jersie-Christensen, R. R., Lyon, D., Damgaard, C., Jensen, L. J., Holmstrup, P., & Olsen, J. V. (2016). Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls. PeerJ, 4, [e2433]. https://doi.org/10.7717/peerj.2433

Vancouver

Belstrøm D, Jersie-Christensen RR, Lyon D, Damgaard C, Jensen LJ, Holmstrup P o.a. Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls. PeerJ. 2016;4. e2433. https://doi.org/10.7717/peerj.2433

Author

Belstrøm, Daniel ; Jersie-Christensen, Rosa R ; Lyon, David ; Damgaard, Christian ; Jensen, Lars J ; Holmstrup, Palle ; Olsen, Jesper V. / Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls. I: PeerJ. 2016 ; Bind 4.

Bibtex

@article{c909d906d3a04ce9bfeffd5b92f01a20,
title = "Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls",
abstract = "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 C18 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.",
author = "Daniel Belstr{\o}m and Jersie-Christensen, {Rosa R} and David Lyon and Christian Damgaard and Jensen, {Lars J} and Palle Holmstrup and Olsen, {Jesper V}",
year = "2016",
doi = "10.7717/peerj.2433",
language = "English",
volume = "4",
journal = "PeerJ",
issn = "2167-8359",
publisher = "PeerJ",

}

RIS

TY - JOUR

T1 - Metaproteomics of saliva identifies human protein markers specific for individuals with periodontitis and dental caries compared to orally healthy controls

AU - Belstrøm, Daniel

AU - Jersie-Christensen, Rosa R

AU - Lyon, David

AU - Damgaard, Christian

AU - Jensen, Lars J

AU - Holmstrup, Palle

AU - Olsen, Jesper V

PY - 2016

Y1 - 2016

N2 - 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 C18 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.

AB - 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 C18 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.

U2 - 10.7717/peerj.2433

DO - 10.7717/peerj.2433

M3 - Journal article

C2 - 27672500

VL - 4

JO - PeerJ

JF - PeerJ

SN - 2167-8359

M1 - e2433

ER -

ID: 166326742