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

Journal of Periodontal & Implant Science 2020년 50권 5호 p.313 ~ 326
전윤선, 차재국, 최성호, 이지현, 이정석,
소속 상세정보
전윤선 ( Jeon Yoon-Sun ) - Yonsei University College of Dentistry Department of Periodontology
차재국 ( Cha Jae-Kook ) - Yonsei University College of Dentistry Department of Periodontology
최성호 ( Choi Seong-Ho ) - Yonsei University College of Dentistry Department of Periodontology
이지현 ( Lee Ji-Hyun ) - Kyung Hee University College of Medicine Department of Clinical Pharmacology and Therapeutics
이정석 ( Lee Jung-Seok ) - Yonsei University College of Dentistry Department of Periodontology

Abstract


Purpose: This study was conducted to analyze specific RNA expression profiles 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. Differential 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 differentially 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 profiles 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.

키워드

Microarray analysis; Periodontitis; Saliva; Transcriptome

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