Transcriptomic profles and their correlations in saliva and gingival tissue biopsy samples from periodontitis and healthy patients

Yoon Sun Jeon, Jae Kook Cha, Seong Ho Choi, Ji Hyun Lee, Jung Seok Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: This study was conducted to analyze specifc RNA expression profles in gingival tissue and saliva samples in periodontitis patients and healthy individuals, and to determine their correlations in light of the potential use of microarray-based analyses of saliva samples as a periodontal monitoring tool. Methods: Gingival tissue biopsies and saliva samples from 22 patients (12 with severe periodontitis and 10 with a healthy periodontium) were analyzed using transcriptomic microarray analysis. Diferential gene expression was assessed, and pathway and clustering analyses were conducted for the samples. The correlations between the results for the gingival tissue and saliva samples were analyzed at both the gene and pathway levels. Results: There were 621 diferentially expressed genes (DEGs; 320 upregulated and 301 downregulated) in the gingival tissue samples of the periodontitis group, and 154 DEGs (44 upregulated and 110 downregulated) in the saliva samples. Nine of these genes overlapped between the sample types. The periodontitis patients formed a distinct cluster group based on gene expression profles for both the tissue and saliva samples. Database for Annotation, Visualization and Integrated Discovery analysis revealed 159 enriched pathways from the tissue samples of the periodontitis patients, as well as 110 enriched pathways In the saliva samples. Thirty-four pathways overlapped between the sample types. Conclusions: The present results indicate the possibility of using the salivary transcriptome to distinguish periodontitis patients from healthy individuals. Further work is required to enhance the extraction of available RNA from saliva samples.

Original languageEnglish
Pages (from-to)313-326
Number of pages14
JournalJournal of Periodontal and Implant Science
Volume50
Issue number5
DOIs
Publication statusPublished - 2020 Oct

Bibliographical note

Publisher Copyright:
Copyright © 2020. Korean Academy of Periodontology

All Science Journal Classification (ASJC) codes

  • Oral Surgery
  • Periodontics

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