Gu Yuheng, Jiang Lai, Shui Min, Luo Honghao, Zhou Xuancheng, Zhang Shengke, Jiang Chenglu, Huang Jinbang, Chen Haiqing, Tang Jingyi, Fu Yiping, Luo Huiyan, Yang Guanhu, Xu Ke, Chi Hao, Liu Jie, Huang Shangke
School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Department of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Front Cell Infect Microbiol. 2024 Sep 17;14:1452392. doi: 10.3389/fcimb.2024.1452392. eCollection 2024.
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.
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.
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.
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.
结直肠癌(CRC)对全球健康构成威胁,口腔微生物群越来越多地被认为与其发病机制有关。本研究利用孟德尔随机化(MR)方法,使用中国国家基因库和日本生物银行的数据,探索口腔微生物群与结直肠癌之间的因果关系。通过整合多组学方法,我们旨在揭示微生物群影响细胞代谢和癌症发展的机制。
我们分析了来自2017份舌样本和1915份唾液样本的微生物群谱,以及6692例结直肠癌病例和27178例对照的全基因组关联研究(GWAS)数据。通过MR分析确定了重要的细菌分类群。单细胞RNA测序和富集分析阐明了潜在途径,药物预测确定了潜在的治疗方法。
MR确定了19种与结直肠癌显著相关的细菌分类群。在RUG343和口腔链球菌_umgs_2425等分类群中观察到保护作用,而HOT-345_umgs_976和W5053_sp000467935_mgs_712增加了结直肠癌风险。单细胞RNA测序揭示了关键途径,包括JAK-STAT信号通路和酪氨酸代谢。药物预测突出了亚硫酸氢钠甲萘醌和雷洛昔芬等潜在治疗方法。
本研究确立了口腔微生物群在结直肠癌发展中的关键作用,确定了与结直肠癌风险相关的特定微生物分类群。单细胞RNA测序和药物预测分析进一步阐明了关键途径和潜在治疗方法,为结直肠癌提供了新的见解和个性化治疗策略。