牙周炎
代谢组学
唾液
生物标志物
代谢物
代谢组
医学
生物标志物发现
内科学
队列
生物信息学
化学
生物化学
生物
蛋白质组学
基因
作者
Seonghye Kim,Hyun‐Joo Kim,Yuri Song,Hyun Ah. Lee,Suhkmann Kim,Jun-Ki Chung
摘要
The aim of this study was to propose biomarker candidates for periodontitis via untargeted metabolomics analysis.Metabolic profiling was performed using saliva samples from 92 healthy controls (H) and 129 periodontitis patients (P) in the discovery cohort using proton nuclear magnetic resonance spectroscopy. Random forest was applied to identify metabolites that significantly differentiated the control group from the periodontitis group. Candidate metabolites were then validated in an independent validation cohort.In the discovery set, the metabolic profiles of the P group were clearly separated from those of the H group. A total of 31 metabolites were identified in saliva, and 7 metabolites were selected as candidate biomarkers. These metabolites were further confirmed in the validation set. Ethanol, taurine, isovalerate, butyrate, and glucose were finally confirmed as biomarkers. Furthermore, the biomarker panel showed more than 0.9 of the area under curve value in both discovery and validation sets, indicating that panels were more effective than individual metabolites for diagnosing periodontitis.We identified five metabolite biomarkers that discriminated patients with periodontitis from healthy controls in two independent cohorts. These biomarkers have the potential for periodontal screening, detection of periodontitis, and monitoring of the outcome of periodontal therapy.
科研通智能强力驱动
Strongly Powered by AbleSci AI