Yan Li, Xu Jingyi, Lou Fangzhi, Dong Yunmei, Lv Shiping, Kang Ning, Luo Zhuoyan, Liu Yiyun, Pu Juncai, Zhong Xiaogang, Ji Ping, Xie Peng, Jin Xin
College of Medical Informatics, Chongqing Medical University, Chongqing, China.
Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, College of Stomatology, Chongqing Medical University, Chongqing, China.
J Oral Microbiol. 2024 Oct 30;16(1):2422164. doi: 10.1080/20002297.2024.2422164. eCollection 2024.
Oral lichen planus (OLP) is a chronic oral mucosal inflammatory disease with a risk of becoming malignant. Emerging evidence suggests that microbial imbalance plays an important role in the development of OLP. However, the association between the oral microbiota and the metabolic features in OLP is still unclear.
We conducted 16S rRNA sequencing and metabolomics profiling on 95 OLP patients and 105 healthy controls (HC).To study oral microbes and metabolic changes in OLP, we applied differential analysis, Spearman correlation analysis and four machine learning algoeithms.
The alpha and beta diversity both differed between OLP and HC. After adjustment for gender and age, we found an increase in the relative abundance of , , , and in OLP, while 18 genera decreased in OLP. A total of 153 saliva metabolites distinguishing OLP from HC were identified. Notably, correlations were found between , specific lipid and amino acid metabolites, and OLP's clinical phenotype. Additionally, the combination of , and (±)10-HDoHE effectively distinguished OLP from HC.
Based on multi-omics data, this study provides comprehensive evidence of a novel interplay between oral microbiome and metabolome in OLP pathogenesis using the oral microbiota and metabolites of OLP patients.
口腔扁平苔藓(OLP)是一种慢性口腔黏膜炎症性疾病,有恶变风险。新出现的证据表明,微生物失衡在OLP的发展中起重要作用。然而,口腔微生物群与OLP代谢特征之间的关联仍不清楚。
我们对95例OLP患者和105例健康对照(HC)进行了16S rRNA测序和代谢组学分析。为了研究OLP中的口腔微生物和代谢变化,我们应用了差异分析、Spearman相关性分析和四种机器学习算法。
OLP组和HC组的α和β多样性均存在差异。在对性别和年龄进行调整后,我们发现OLP组中 、 、 和 的相对丰度增加,而OLP组中有18个属减少。共鉴定出153种区分OLP和HC的唾液代谢物。值得注意的是, 、特定脂质和氨基酸代谢物与OLP的临床表型之间存在相关性。此外, 、 和(±)10-HDoHE的组合可有效区分OLP和HC。
基于多组学数据,本研究利用OLP患者的口腔微生物群和代谢物,为口腔微生物组与代谢组在OLP发病机制中的新型相互作用提供了全面证据。