T Oikonomou1, E Cholongitas2, G Gioula3, F Minti3, A Melidou3, E Protonotariou3, E Akriviadis1, I Goulis1. 1. Fourth Department of Internal Medicine, Hippokration General Hospital, Medical School of Aristotle University of Thessaloniki, Thessaloniki. 2. First Department of Internal Medicine, Laiko General Hospital, Medical School of National and Kapodistrian University of Athens, Athens. 3. Microbiology Department, Medical School of Aristotle University of Thessaloniki, Thessaloniki Greece.
Abstract
BACKGROUND: In the setting of the oral-gut-liver axis, microbiome dysbiosis has been associated with decompensated cirrhosis progression. However, little is known on salivary microbiome profiles in stable decompensated patients. METHODS: We studied patients with stable decompensated cirrhosis (n =28) and matched healthy controls (n =26). There were five patients (17.8 %) with hepatocellular carcinoma (HCC). Microbiomes of the 54 salivary samples were profiled through next-generation sequencing of the 16S-rRNA region in bacteria. RESULTS: The two study groups (patients and controls) did not differ significantly concerning their baseline characteristics. The most abundant phyla were Firmicutes, Bacteroidetes, Proteobacteria, and Fusobacteria. Proposed dysbiosis ratio Firmicutes/Bacteroidetes was lower in patients than in controls (range: 0.05-2.54 vs. 0.28-2.18, p =0.4), showing no statistical significance. Phylum Deinococcus-Thermus was detected only in controls, while Phylum Planctomycetes only in patients. A-diversity analysis indicated low diversity of salivary microbiome in decompensated patients and patients with HCC, who presented specific discriminative taxa. On principal coordinate analysis (PCoA), the patients' and controls' salivary microbiomes clustered apart, suggesting differences in community composition (PERMANOVA test, p =0.008). Boruta wrapper algorithm selected the most representative genera to classify controls and patients (area under the curve =0.815). CONCLUSIONS: Patients with stable decompensated cirrhosis of various etiology and history of complications have decreased diversity of their salivary microbiome. PCoA and Boruta algorithm may represent useful tools to discriminate the salivary microbiome in patients with decompensation. Further studies are needed to establish the utility of salivary microbiome analysis, which is easier obtained than fecal, in decompensated cirrhosis. HIPPOKRATIA 2020, 24(4): 157-165. Copyright 2020, Hippokratio General Hospital of Thessaloniki.
BACKGROUND: In the setting of the oral-gut-liver axis, microbiome dysbiosis has been associated with decompensated cirrhosis progression. However, little is known on salivary microbiome profiles in stable decompensated patients. METHODS: We studied patients with stable decompensated cirrhosis (n =28) and matched healthy controls (n =26). There were five patients (17.8 %) with hepatocellular carcinoma (HCC). Microbiomes of the 54 salivary samples were profiled through next-generation sequencing of the 16S-rRNA region in bacteria. RESULTS: The two study groups (patients and controls) did not differ significantly concerning their baseline characteristics. The most abundant phyla were Firmicutes, Bacteroidetes, Proteobacteria, and Fusobacteria. Proposed dysbiosis ratio Firmicutes/Bacteroidetes was lower in patients than in controls (range: 0.05-2.54 vs. 0.28-2.18, p =0.4), showing no statistical significance. Phylum Deinococcus-Thermus was detected only in controls, while Phylum Planctomycetes only in patients. A-diversity analysis indicated low diversity of salivary microbiome in decompensated patients and patients with HCC, who presented specific discriminative taxa. On principal coordinate analysis (PCoA), the patients' and controls' salivary microbiomes clustered apart, suggesting differences in community composition (PERMANOVA test, p =0.008). Boruta wrapper algorithm selected the most representative genera to classify controls and patients (area under the curve =0.815). CONCLUSIONS: Patients with stable decompensated cirrhosis of various etiology and history of complications have decreased diversity of their salivary microbiome. PCoA and Boruta algorithm may represent useful tools to discriminate the salivary microbiome in patients with decompensation. Further studies are needed to establish the utility of salivary microbiome analysis, which is easier obtained than fecal, in decompensated cirrhosis. HIPPOKRATIA 2020, 24(4): 157-165. Copyright 2020, Hippokratio General Hospital of Thessaloniki.
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