ArticleFrontiers in cellular and infection microbiology2023
Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Salivary microbial meta-analysis reveals gender differences in oral microbiota, core microbiota, and molecular markers.Frontiers in cellular and infection microbiology · 2026Pooled it
- Advances in the study of oral microbiota and metabolism associated fatty liver disease: a systematic review.Frontiers in cellular and infection microbiology · 2024Pooled it
- Green Tea Kombucha Impacts Inflammation and Salivary Microbiota in Individuals with Excess Body Weight: A Randomized Controlled Trial.Nutrients · 2024Trial
- Exploring the oral microbiome diversity and genus signatures associated with a novel non-invasive metabolic indicator: a cross-sectional study.The Saudi dental journal · 2026Article
- [Analysis of the Characteristics of the Oral Virome in Metabolic Dysfunction-Associated Fatty Liver Disease].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- SupragingivalJournal of oral microbiology · 2026Article
- Article
- Gastric Cancer and Microbiota: Exploring the Microbiome's Role in Carcinogenesis and Treatment Strategies.Life (Basel, Switzerland) · 2025Review
- Effect of Oral Microbiota Composition on Metabolic Dysfunction-Associated Steatotic Liver Disease in the General Population.Journal of clinical medicine · 2025Article
- The oral-gut microbiota axis: a link in cardiometabolic diseases.NPJ biofilms and microbiomes · 2025Review
- Microbiota of Saliva: A Non-invasive Diagnostic Tool.Indian journal of microbiology · 2024Review
- Article
- Can salivary and skin microbiome become a biodetector for aging-associated diseases? Current insights and future perspectives.Frontiers in aging · 2024Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: 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. Methods: 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. Results: 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. Conclusions: 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.
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