1. Additional file 1 of Gut microbiome, cognitive function and brain structure: a multi-omics integration analysis
- Author
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Liang, Xinxiu, Fu, Yuanqing, Cao, Wen-ting, Wang, Zhihong, Zhang, Ke, Jiang, Zengliang, Jia, Xiaofang, Liu, Chun-ying, Lin, Hong-rou, Zhong, Haili, Miao, Zelei, Gou, Wanglong, Shuai, Menglei, Huang, Yujing, Chen, Shengdi, Zhang, Bing, Chen, Yu-ming, and Zheng, Ju-Sheng
- Abstract
Additional file 1: Methods. Table S1. Participant characteristics in the GNHS. Table S2. Participant characteristics of the CHNS. Table S3. Associations between α-diversity and cognitive impairment in the GNHS (n = 1430). Table S4. Associations between α-diversity and cognitive decline in the CHNS (n = 1300). Table S5. Weights for genus features contributing to the LASSO models. Table S6. Associations between bacterial taxonomy and cognitive performance in the CHNS (n = 1300). Table S7. Associations between Odoribacter and SCFAs in the GNHS. Table S8. Associations between serum acetic acid and brain structure in the GNHS. Table S9. Distribution of metagenomic features in the GNHS. Table S10. Associations between intra-individual alterations in gut microbial composition and cognitive impairment in the GNHS. Table S11. Metagenomic and metabolomic features associated with cognitive impairment in the GNHS. Table S12. Correlations of metagenomic and metabolic features with MMSE domains in the GNHS. Table S13. Correlations between metagenomic features and metabolites in the GNHS. Fig. S1 Overview of the multi-omics datasets of the GNHS. Fig. S2 Distribution of metagenomic and metabolomic features in the GNHS. Fig. S3 Correlation analyses on cognition-related metagenomic and metabolic traits in the GNHS. Fig. S4 Association of metagenomic pathways and serum metabolomics with cognitive function in the GNHS. Fig. S5 Networks of metagenomic pathways in the GNHS.
- Published
- 2022
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