Dental implant material related changes in molecular signatures in peri-implantitis – A systematic review of omics in-vivo studies

转录组 种植周围炎 牙周炎 荟萃分析 体内 生物信息学 生物 梅德林 表观基因组 植入 牙科 医学 生理学 计算生物学 基因表达 病理 基因 生物技术 遗传学 DNA甲基化 外科 生物化学
作者
Thomas Spinell,Annika Kroeger,Lena Freitag,Gregor Würfl,Michael Lauseker,Reinhard Hickel,Moritz Kebschull
出处
期刊:Dental Materials [Elsevier]
卷期号:39 (12): 1150-1158 被引量:2
标识
DOI:10.1016/j.dental.2023.09.007
摘要

Titanium particles have been shown in in-vitro studies to lead to the activation of specific pathways, this work aims to systematically review in- vivo studies examining peri-implant and periodontal tissues at the transcriptome, proteome, epigenome and genome level to reveal implant material-related processes favoring peri-implantitis development investigated in animal and human trials.Inquiring three literature databases (Medline, Embase, Cochrane) a systematic search based on a priori defined PICOs was conducted: '-omics' studies comparing molecular signatures in healthy and infected peri-implant sites and/or healthy and periodontitis-affected teeth in animals/humans. After risk of bias assessments, lists of differentially expressed genes and results of functional enrichment analyses were compiled whenever possible.Out of 2187 screened articles 9 publications were deemed eligible. Both healthy and inflamed peri-implant tissues showed distinct gene expression patterns compared to healthy/diseased periodontal tissues in animal (n = 4) or human studies (n = 5), with immune response, bone metabolism and oxidative stress being affected the most. Due to the lack of available re-analyzable data and inconsistency in methodology of the eligible studies, integrative analyses on differential gene expression were not applicable CONCLUSION: The differences of transcriptomic signatures in between peri-implant lesions compared to periodontal tissue might be related to titanium particles arising from dental implants and are in line with the in-vitro data recently published by our group. Nevertheless, limitations emerge from small sample sizes of included studies and insufficient publication of re-analyzable data.
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