Journal
GENE
Volume 727, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.gene.2019.144258
Keywords
Periodontitis; Peri-implantitis; Next generation sequencing; Smoking
Categories
Funding
- National Research Foundation (NRF) of Korea - Ministry of Science and ICT, Basic Research Lab Program [2017R1A4A1014584]
- MSIP/IITP [2017-0-00398]
- Korea Health Technology R&D Project through Korea Health Industry Development Institute (KHIDI) - Ministry of Health & Welfare, Republic of Korea [HI14C2681]
- National Research Foundation of Korea [2017R1A4A1014584] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Peri-implantitis is similar to periodontitis in both symptoms and treatment; however, their level of similarity remains controversial. Here, we compared multiple cases of periodontitis and peri-implantitis through transcriptome and methylome profiling, and analyzed the effects of smoking as a typical risk factor. Human gingival tissues were obtained from 20 patients with periodontitis or peri-implantitis via periodontal surgical procedures. Total RNA and genomic DNA were isolated, and transcriptome and methylome datasets were generated. Comprehensive analysis of differential gene expression, DNA methylation, and protein-protein interactions indicated that periodontitis and peri-implantitis share biological similarities; however, hierarchical clustering between the two disease groups revealed distinct molecular characteristics. These differences might be related to structural differences in natural tooth-bone and implant-bone. Additionally, smoking differentially affected periodontitis and peri-implantitis in terms of host-defense mechanism impairment. Within the limitations of this study, the results provide evidence that peri-implantitis is distinct from periodontitis and that smoking potentially affects disease progression. Our study provides a foundation for the rational design of a large-scale study in the future for a more comprehensive analysis that includes microbiome and clinical data.
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