Effect of Saliva Collection Methods on the Detection of Periodontium-Related Genetic and Epigenetic Biomarkers-A Pilot Study

Int J Mol Sci. 2019 Sep 24;20(19):4729. doi: 10.3390/ijms20194729.

Abstract

Different collection methods may influence the ability to detect and quantify biomarker levels in saliva, particularly in the expression of DNA/RNA methylation regulators of several inflammations and tissue turnover markers. This pilot study recruited five participants and unstimulated saliva were collected by either spitting or drooling, and the relative preference for each method was evaluated using a visual analogue scale. Subsequently, total RNA, gDNA and proteins were isolated using the Trizol method. Thereafter, a systematic evaluation was carried out on the potential effects of different saliva collection methods on periodontium-associated genes, DNA/RNA epigenetic factors and periodontium-related DNA methylation levels. The quantity and quality of DNA and RNA were comparable from different collection methods. Periodontium-related genes, DNA/RNA methylation epigenetic factors and periodontium-associated DNA methylation could be detected in the saliva sample, with a similar expression for both methods. The methylation of tumour necrosis factor-alpha gene promoter from drooling method showed a significant positive correlation (TNF α, r = 0.9) with clinical parameter (bleeding on probing-BOP). In conclusion, the method of saliva collection has a minimal impact on detecting periodontium-related genetic and epigenetic regulators in saliva. The pilot data shows that TNF α methylation may be correlated with clinical parameters.

Keywords: DNA methylation; epigenetic factors; saliva collection methods.

MeSH terms

  • Adult
  • Biomarkers*
  • DNA
  • DNA Methylation
  • Epigenesis, Genetic*
  • Epigenomics* / methods
  • Female
  • Gene Expression Profiling
  • Genetic Testing* / methods
  • Humans
  • Liquid Biopsy / methods
  • Male
  • Methylation
  • Periodontium / metabolism*
  • Pilot Projects
  • Proteins
  • RNA
  • Saliva / metabolism*
  • Young Adult

Substances

  • Biomarkers
  • Proteins
  • RNA
  • DNA