Of3.9. The Correlation Analysis among Gut Microbiota and Liver Damage Parameters To additional analyze the correlation in between gut microbiota and AFLD induced by chronic alcohol exposure, Spearman’s correlation evaluation was employed within the present study. Also, there were 15 main gut microbial communities as well as the relative abundance of each and every was 0.01 , accounting for additional than 90 of each fecal sample. The relationship amongst these gut microbiota and biochemical indicators of liver injury is presented inside the heatmap in Figure 10. Among these bacteria, Bacteroides, Parabacteroides, Alloprevotella, Alistipes, Rikenellaceae_RC9_gut_group showed drastically positive correlations with serum aminotransferase activities (AST and ALT) and hepatic steatosis (liver coefficient and liver TG content material), although Faecalibaculum, Ruminococcaceae_UCG-013, and Ileibacterium showed markedly unfavorable correlations with these parameters. Furthermore, weak unfavorable correlations had been observed between Akkermansia and serum ALT activity, as well as in between Dubosiella and serum AST activity. In addition, Rikenellaceae_RC9_gut_group and Bacteroides were positively correlated with serum TG, whereas Ileibacterium was negatively correlated with it. Furthermore, serum TC was negatively correlated with Bacteroides, Alistipes, Parabacteroides, Alloprevotella, and Rikenellaceae_RC9_gut_group, and was positively associated to Dubosiella and Faecalibaculum.Foods 2021, 10, x FOR PEER REVIEWFoods 2021, 10,18 of18 ofFigure 9. Cont.Foods 2021, 10, 1232 PEER Overview Foods 2021, 10, x FOR19 of 25 19 ofFigure 9. The LDA distribution chart generated from LEfSe displaying one of the most differentially abundant taxa in intestinal microbiota ranging from phylum to genus (LDA score 4). CTRL, Figure 9. The LDA distribution chart generated from LEfSe showing one of the most differentially abundant taxa in intestinal microbiota ranging from phylum to genus (LDA score 4). CTRL, the control group; EtOH, the model group; OT1, Tieguanyin Tea; OT2, Fenghuang Danzong Tea; DT1, Fu Brick Tea; DT2, Selenium-Enriched Dark Tea. (A) CTRL (red) + EtOH (green); the manage group; EtOH, the model group; OT1, Tieguanyin Tea; OT2, Fenghuang Danzong Tea; DT1, Fu Brick Tea; DT2, Selenium-Enriched Dark Tea. (A) CTRL (red) + EtOH (green); (B) EtOH (red) + OT1 (green); (C) EtOH (red) + OT2 (green); (D) EtOH (green) + DT1(red); (E) EtOH (green) + (red) DT2. (B) EtOH (red) + OT1 (green); (C) EtOH (red) + OT2 (green); (D) EtOH (green) + DT1(red); (E) EtOH (green) + (red) DT2.Foods 2021, ten, x FOR PEER REVIEWFoods 2021, 10, 1232 20 of20 ofFigure 10. Heat map of the correlationof the correlation betweenand liver injury and liver injury parameters affected Figure ten. Heat map involving gut microbiota gut microbiota parameters affected by chronic alcohol exposure. The liver harm parameters incorporated hepaticdamage parameters integrated hepatic steatosis indicators, by chronic alcohol exposure. The liver steatosis indicators, serum aminotransferase activity, alcohol metabolism, PDE3 Inhibitor Formulation oxidative stress, and inflammation. NLRP3 Inhibitor Species Substantial distinction was represented by asterisk, p 0.05, p 0.01. serum aminotransferase activity, alcohol metabolism, oxidative anxiety, and inflammation. Substantial difference was represented by asterisk, p 0.05, p 0.01.The correlation among these key bacteria and alcohol metabolism parameters like CYP2E1, ADH and key bacteria and alcohol metabolism parameters unculThe correlation involving these ALDH was.