Additional file 1 of Gut microbiota dysbiosis in hyperuricaemia promotes renal injury through the activation of NLRP3 inflammasome
Creators: name: Zhou, Xinghong
name: Ji, Shuai
name: Chen, Liqian
name: Liu, Xiaoyu
name: Deng, Yijian
name: You, Yanting
name: Wang, Ming
name: He, Qiuxing
name: Peng, Baizhao
name: Yang, Ying
name: Chen, Xiaohu
name: Kwan, Hiu Yee
name: Zhou, Lin
name: Chen, Jieyu
name: Zhao, Xiaoshan
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Science Policy
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Marine Biology
subject: Cancer

description: Additional file 1: Figure S1. The effects of HUA-induced by UOX knockout on the food intake, water intake, and survival of rats. (A) Food intake of 8 week old rats (n=5). (B) Water intake of 8 week old rats (n=5). (C) Survival of rats in a 24-week observation period (n=30). Data are represented as mean±SEM. Statistical comparison was performed using two-tailed unpaired Student’s t tests or Kaplan-Meier analysis. **p&lt;0.01. Figure S2. The effects of HUA on the microbial diversity and composition of rats. (A) ACE index (n=6). (B) Shannon index (n=6). (C) Chao1 index (n=6). (D) Relative abundance profile at a phylum level (n=6). (E) Relative abundance profile at a genus level (n=6). Data are represented as mean±SEM. Statistical comparison was performed using Wilcox rank-sum tests. Figure S3. Random permutation test with 200 permutations to evaluate the robustness of the OPLS-DA model. Figure S4. Heatmap of different metabolites in the kidneys of WT and UOX-/-rats. Figure S5. Pearson correlation between metabolites and renal function parameters. Red indicates a positive correlation while blue indicates a negative correlation. *p&lt;0.05; **p&lt;0.01. Figure S6. Correlation network among microbes, metabolites and renal injury parameters (Pearson coefficient&gt;0.5 and p&lt;0.05). Red indicates a positive correlation while blue indicates a negative correlation. Figure S7. ABX treatment successfully depleted the intestinal microbiota of mice. (A) Bacterial load in the faeces of control or ABX-treated mice (n=5). (B) Representative images of blood agar plating of faeces from control and ABX-treated mice. Data are represented as mean±SEM. Statistical comparison was performed using two-tailed unpaired Student’s t tests. **p&lt;0.01. Figure S8. Function associated with the tryptophan metabolism were increased in HUA microbiota recipient mice after FMT. (A) Shannon index (n=4). (B) PCoA analysis using Bray-Curtis distances between FMTwt_sham and FMTuox_sham groups (n=4). (C) PCoA analysis using Bray-Curtis distances between FMTwt_IR and FMTuox_IR groups (n=4). (D) The relative abundance profile at a phylum level (n=4). (E) The relative abundance profile at a genus level (n=4). (F) Predicted KEGG functional pathway differences between FMTwt_sham and FMTuox_sham groups. (G) Predicted KEGG functional pathway differences between FMTwt_IR and FMTuox_IR groups. (H) Levels of serum IS in recipient mice after I/R (n=5). Data are represented as mean±SEM. Statistical comparison was performed using Wilcox rank-sum tests or two-tailed unpaired Student’s t tests. *p&lt;0.05.