Liu Jingjing, Qi Mingyang, Qiu Chengchao, Wang Feng, Xie Shaofei, Zhao Jian, Wu Jing, Song Xiaofeng
Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Pharmaceutical Co., Ltd., Nanjing, China.
Front Microbiol. 2022 Sep 28;13:1021325. doi: 10.3389/fmicb.2022.1021325. eCollection 2022.
The gut microbiome and its interaction with host have been implicated as the causes and regulators of colorectal cancer (CRC) pathogenesis. However, few studies comprehensively investigate the compositions of gut bacteria and their interactions with host at the early inflammatory and cancerous stages of CRC. In this study, mouse fecal samples collected at inflammation and CRC were subjected to microbiome and metabolome analyses. The datasets were analyzed individually and integratedly using various bioinformatics approaches. Great variations in gut microbiota abundance and composition were observed in inflammation and CRC. The abundances of , , and were significantly changed in inflammation and CRC. The abundances of and were significantly different between inflammation and CRC. Furthermore, strong excluding and appealing microbial interactions were found in the gut microbiota. CRC and inflammation presented specific fecal metabolome profiling. Fecal metabolomic analysis led to the identification and quantification of 1,138 metabolites with 32 metabolites significantly changed in CRC and inflammation. 1,17-Heptadecanediol and 24,25,26,27-Tetranor-23-oxo-hydroxyvitamin D3 were potential biomarkers for CRC. 3α,7β,12α-Trihydroxy-6-oxo-5α-cholan-24-oic Acid and NNAL-N-glucuronide were potential biomarkers for inflammation. The significantly changed bacterial species and metabolites contribute to inflammation and CRC diagnosis. Integrated microbiome and metabolomic analysis correlated microbes with host metabolites, and the variated microbe-metabolite association in inflammation and CRC suggest that microbes facilitate tumorigenesis of CRC through interfering host metabolism.
肠道微生物群及其与宿主的相互作用被认为是结直肠癌(CRC)发病机制的原因和调节因素。然而,很少有研究全面调查CRC早期炎症和癌变阶段肠道细菌的组成及其与宿主的相互作用。在本研究中,对在炎症和CRC阶段收集的小鼠粪便样本进行了微生物组和代谢组分析。使用各种生物信息学方法对数据集进行了单独和综合分析。在炎症和CRC中观察到肠道微生物群丰度和组成的巨大差异。在炎症和CRC中, 、 和 的丰度发生了显著变化。炎症和CRC之间, 和 的丰度存在显著差异。此外,在肠道微生物群中发现了强烈的排斥和吸引性微生物相互作用。CRC和炎症呈现出特定的粪便代谢组谱。粪便代谢组分析导致鉴定和定量了1138种代谢物,其中32种代谢物在CRC和炎症中发生了显著变化。1,17-十七烷二醇和24,25,26,27-四去甲-23-氧代-羟基维生素D3是CRC的潜在生物标志物。3α,7β,12α-三羟基-6-氧代-5α-胆烷-24-酸和NNAL-N-葡萄糖醛酸是炎症的潜在生物标志物。显著变化的细菌种类和代谢物有助于炎症和CRC的诊断。综合微生物组和代谢组分析将微生物与宿主代谢物相关联,炎症和CRC中微生物-代谢物关联的变化表明,微生物通过干扰宿主代谢促进CRC的肿瘤发生。