Institute of Stomatology, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, China.
Department of Endodontics, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, China.
Front Cell Infect Microbiol. 2023 Feb 14;13:1131255. doi: 10.3389/fcimb.2023.1131255. eCollection 2023.
Metabolic-associated fatty liver disease (MAFLD) is the most common chronic liver disease related to metabolic syndrome. However, ecological shifts in the saliva microbiome in patients with MAFLD remain unknown. This study aimed to investigate the changes to the salivary microbial community in patients with MAFLD and explore the potential function of microbiota.
Salivary microbiomes from ten MAFLD patients and ten healthy participants were analyzed by 16S rRNA amplicon sequencing and bioinformatics analysis. Body composition, plasma enzymes, hormones, and blood lipid profiles were assessed with physical examinations and laboratory tests.
The salivary microbiome of MAFLD patients was characterized by increased α-diversity and distinct β-diversity clustering compared with control subjects. Linear discriminant analysis effect size analysis showed a total of 44 taxa significantly differed between the two groups. Genera Neisseria, Filifactor, and Capnocytophaga were identified as differentially enriched genera for comparison of the two groups. Co-occurrence networks suggested that the salivary microbiota from MAFLD patients exhibited more intricate and robust interrelationships. The diagnostic model based on the salivary microbiome achieved a good diagnostic power with an area under the curve of 0.82(95% CI: 0.61-1). Redundancy analysis and spearman correlation analysis revealed that clinical variables related to insulin resistance and obesity were strongly associated with the microbial community. Metagenomic predictions based on Phylogenetic Investigation of Communities by Reconstruction of Unobserved States revealed that pathways related to metabolism were more prevalent in the two groups.
Patients with MAFLD manifested ecological shifts in the salivary microbiome, and the saliva microbiome-based diagnostic model provides a promising approach for auxiliary MAFLD diagnosis.
代谢相关脂肪性肝病(MAFLD)是与代谢综合征相关的最常见的慢性肝病。然而,MAFLD 患者唾液微生物组的生态变化尚不清楚。本研究旨在探讨 MAFLD 患者唾液微生物群落的变化,并探索微生物组的潜在功能。
通过 16S rRNA 扩增子测序和生物信息学分析,对 10 名 MAFLD 患者和 10 名健康对照者的唾液微生物组进行分析。通过体格检查和实验室检查评估身体成分、血浆酶、激素和血脂谱。
与对照组相比,MAFLD 患者的唾液微生物组表现出 α-多样性增加和 β-多样性聚类明显不同。线性判别分析效应量分析显示,两组之间共有 44 个分类群存在显著差异。比较两组,发现奈瑟菌属、Filifactor 和 Capnocytophaga 属为差异丰度属。共现网络分析表明,MAFLD 患者的唾液微生物组表现出更复杂和稳健的相互关系。基于唾液微生物组的诊断模型具有良好的诊断效能,曲线下面积为 0.82(95%CI:0.61-1)。冗余分析和 Spearman 相关分析表明,与胰岛素抵抗和肥胖相关的临床变量与微生物群落密切相关。基于未观察到状态重建的群落系统发育分析的元基因组预测显示,两组中与代谢相关的途径更为普遍。
MAFLD 患者的唾液微生物组表现出生态变化,基于唾液微生物组的诊断模型为辅助 MAFLD 诊断提供了一种有前途的方法。