Condor Ana-Maria, Kui Andreea, Condor Daniela Cornelia, Negucioiu Marius, Buduru Smaranda Dana, Lucaciu Patricia Ondine
Oral Health Discipline, Department 3-Oral Rehabilitation, Faculty of Dental Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
Cluj County Emergency Clinical Hospital, 400006 Cluj-Napoca, Romania.
Diagnostics (Basel). 2025 Apr 14;15(8):990. doi: 10.3390/diagnostics15080990.
: Peri-implantitis is a prevalent inflammatory condition affecting dental implants, leading to increased treatment costs, patient dissatisfaction, and potential implant failure. Novel biomarker-based approaches may contribute to early detection, thereby decreasing the burden of the disease. The aim of this review was to assess in vivo studies using metabolomics to identify the metabolic profiles and potential biomarkers of peri-implantitis. : The protocol for this study was registered with PROSPERO (CRD42025634865). Five databases and grey literature sources (PubMed, Scopus, Web of Science, ProQuest, and Google Scholar) were searched using keywords related to metabolomics and peri-implantitis. Studies were selected by independent, inter-calibrated researchers. Data were extracted using predefined, custom forms. The risk of bias was assessed using the ROBINS-I tool. : An electronic literature search retrieved 543 articles, of which five were selected. All studies were published within the last five years of the search. All but one study used untargeted metabolomics, and all studies identified metabolites associated with peri-implantitis or distinct metabolomic profiles of peri-implantitis. SCFAs and lysine metabolites were recurring in the results, confirming the findings of previous metabolomic studies on periodontal disease. : Metabolomics has not been widely used to study peri-implantitis. Evidence from existing studies confirms the findings of metabolomics studies on periodontitis. Several metabolites related to PI are associated with immune response, tissue degradation, and cellular energy pathways. Integrating -omics technologies into peri-implantitis diagnosis may facilitate biomarker discovery and improve early detection strategies.
种植体周围炎是一种影响牙种植体的常见炎症性疾病，会导致治疗成本增加、患者不满以及种植体潜在失败。基于新型生物标志物的方法可能有助于早期检测，从而减轻该疾病的负担。本综述的目的是评估使用代谢组学来识别种植体周围炎的代谢谱和潜在生物标志物的体内研究。：本研究方案已在PROSPERO（CRD42025634865）注册。使用与代谢组学和种植体周围炎相关的关键词搜索了五个数据库和灰色文献来源（PubMed、Scopus、Web of Science、ProQuest和谷歌学术）。研究由独立的、相互校准的研究人员进行筛选。数据使用预定义的自定义表格进行提取。使用ROBINS-I工具评估偏倚风险。：电子文献搜索检索到543篇文章，其中5篇被选中。所有研究均在搜索的最后五年内发表。除一项研究外，所有研究均使用非靶向代谢组学，并且所有研究都确定了与种植体周围炎相关的代谢物或种植体周围炎独特的代谢组学谱。短链脂肪酸和赖氨酸代谢物在结果中反复出现，证实了先前关于牙周疾病的代谢组学研究结果。：代谢组学尚未广泛用于研究种植体周围炎。现有研究的证据证实了关于牙周炎的代谢组学研究结果。与种植体周围炎相关的几种代谢物与免疫反应、组织降解和细胞能量途径有关。将组学技术整合到种植体周围炎诊断中可能有助于发现生物标志物并改善早期检测策略。
