孟德尔随机化
微生物群
生物
结直肠癌
计算生物学
生物信息学
表观遗传学
癌症
遗传学
医学
基因型
基因
遗传变异
作者
Yuheng Gu,Lai Jiang,敏之 清水,Honghao Luo,Xuancheng Zhou,Shengke Zhang,Chenglu Jiang,Jinbang Huang,Haiqing Chen,Jingyi Tang,Yi‐Ping Fu,Hui Luo,Guanhu Yang,Ke Xu,Hao Chi,Jie Liu,Shangke Huang
标识
DOI:10.3389/fcimb.2024.1452392
摘要
Background Colorectal cancer (CRC) poses a global health threat, with the oral microbiome increasingly implicated in its pathogenesis. This study leverages Mendelian Randomization (MR) to explore causal links between oral microbiota and CRC using data from the China National GeneBank and Biobank Japan. By integrating multi-omics approaches, we aim to uncover mechanisms by which the microbiome influences cellular metabolism and cancer development. Methods We analyzed microbiome profiles from 2017 tongue and 1915 saliva samples, and GWAS data for 6692 CRC cases and 27178 controls. Significant bacterial taxa were identified via MR analysis. Single-cell RNA sequencing and enrichment analyses elucidated underlying pathways, and drug predictions identified potential therapeutics. Results MR identified 19 bacterial taxa significantly associated with CRC. Protective effects were observed in taxa like RUG343 and Streptococcus_umgs_2425, while HOT-345_umgs_976 and W5053_sp000467935_mgs_712 increased CRC risk. Single-cell RNA sequencing revealed key pathways, including JAK-STAT signaling and tyrosine metabolism. Drug prediction highlighted potential therapeutics like Menadione Sodium Bisulfite and Raloxifene. Conclusion This study establishes the critical role of the oral microbiome in colorectal cancer development, identifying specific microbial taxa linked to CRC risk. Single-cell RNA sequencing and drug prediction analyses further elucidate key pathways and potential therapeutics, providing novel insights and personalized treatment strategies for CRC.
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