Salivary proteotypes of gingivitis tolerance and resilience.
- Bostanci N Section of Periodontology and Dental Prevention, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
- Silbereisen A Section of Periodontology and Dental Prevention, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
- Bao K Section of Periodontology and Dental Prevention, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
- Grossmann J Functional Genomic Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland.
- Nanni P Functional Genomic Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland.
- Fernandez C Functional Genomic Center Zurich, ETH Zurich and University of Zurich, Zurich, Switzerland.
- Nascimento GG Section of Periodontology, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
- Belibasakis GN Section of Periodontology and Dental Prevention, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
- Lopez R Section of Periodontology, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
- 2020-08-11
Published in:
- Journal of clinical periodontology. - 2020
English
AIM
This study aimed to characterize the salivary proteome during the induction and resolution of gingival inflammation in the course of human experimental gingivitis (EG), and to cluster the proteomic profiles based on the clinically defined "slow" and "fast" response patterns.
MATERIALS AND METHODS
A total of 50 unstimulated whole saliva were obtained from the EG model which was induced over 21 days (days 0, 7, 14 and 21), followed by a two-week resolution phase (day 35). Label-free quantitative proteomics using liquid chromatography-tandem mass spectrometry was applied. Regulated proteins were subject to Gene Ontology enrichment analysis.
RESULTS
A total of 804 human proteins were quantified by ≥ 2 peptides. Principal component analysis depicted significant differences between "fast" and "slow" responders. Despite gingival and plaque scores being similar at baseline among the two groups, "fast" responders presented with 48 proteins that were at > 4-fold higher levels than "slow" responders. These up-regulated proteins showed enrichment in "antigen presentation" and "proteolysis."
CONCLUSIONS
Together, these findings highlight the utility of integrative systems-level quantitative proteomic approaches to unravel the molecular basis of "salivary proteotypes" associated with gingivitis dubbed as "fast" and "slow" responders. Hence, these differential responses may help prognosticate individual susceptibility to gingival inflammation.
This study aimed to characterize the salivary proteome during the induction and resolution of gingival inflammation in the course of human experimental gingivitis (EG), and to cluster the proteomic profiles based on the clinically defined "slow" and "fast" response patterns.
MATERIALS AND METHODS
A total of 50 unstimulated whole saliva were obtained from the EG model which was induced over 21 days (days 0, 7, 14 and 21), followed by a two-week resolution phase (day 35). Label-free quantitative proteomics using liquid chromatography-tandem mass spectrometry was applied. Regulated proteins were subject to Gene Ontology enrichment analysis.
RESULTS
A total of 804 human proteins were quantified by ≥ 2 peptides. Principal component analysis depicted significant differences between "fast" and "slow" responders. Despite gingival and plaque scores being similar at baseline among the two groups, "fast" responders presented with 48 proteins that were at > 4-fold higher levels than "slow" responders. These up-regulated proteins showed enrichment in "antigen presentation" and "proteolysis."
CONCLUSIONS
Together, these findings highlight the utility of integrative systems-level quantitative proteomic approaches to unravel the molecular basis of "salivary proteotypes" associated with gingivitis dubbed as "fast" and "slow" responders. Hence, these differential responses may help prognosticate individual susceptibility to gingival inflammation.
- Language
-
- English
- Open access status
- hybrid
- Identifiers
-
- DOI 10.1111/jcpe.13358
- PMID 32777086
- Persistent URL
- https://sonar.ch/global/documents/82162
Statistics
Document views: 34
File downloads:
- Full-text: 0