Transcriptomics and methylomics in chronic periodontitis with tobacco use: a pilot study

Clin Epigenetics. 2017 Aug 10:9:81. doi: 10.1186/s13148-017-0381-z. eCollection 2017.

Abstract

Background: Accumulating evidence suggests that tobacco smoking affects the susceptibility to and severity of chronic periodontitis. Epigenetics may explain the role of smoking in the development and progress of periodontal disease. In this study, we performed transcriptomic and methylomic analyses of non-periodontitis and periodontitis-affected gingival tissues according to smoking status.

Methods: Human gingival tissues were obtained from 20 patients, including non-smokers with and without periodontitis (n = 5 per group) and smokers with and without periodontitis (n = 5 per group). Total RNA and genomic DNA were isolated, and their quality was validated according to strict standards. The Illumina NextSeq500 sequencing system was used to generate transcriptome and methylome datasets.

Results: Comprehensive analysis, including between-group correlation, differential gene expression, DNA methylation, gene set enrichment, and protein-protein interaction, indicated that smoking may change the transcription and methylation states of extracellular matrix (ECM) organization-related genes, which exacerbated the periodontal condition.

Conclusions: Our results suggest that smoking-related changes in DNA methylation patterns and subsequent alterations in the expression of genes coding for ECM components may be causally related to the increased susceptibility to periodontitis in smokers as they could influence ECM organization, which in turn may have an effect on disease characteristics.

Keywords: DNA methylation; Epigenomics; Extracellular matrix; Periodontal disease; Smoking; Transcriptome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Chronic Periodontitis / genetics*
  • DNA Methylation / drug effects*
  • Epigenesis, Genetic / drug effects
  • Female
  • Gene Expression Profiling / methods*
  • Gene Regulatory Networks / drug effects
  • Genetic Predisposition to Disease
  • Humans
  • Male
  • Middle Aged
  • Pilot Projects
  • Sequence Analysis, RNA / methods*
  • Tobacco Use / adverse effects*
  • Tobacco Use / genetics