Salahshouri Pejman, Emadi-Baygi Modjtaba, Jalili Mahdi, Khan Faiz M, Wolkenhauer Olaf, Salehzadeh-Yazdi Ali
Department of Genetics, Faculty of Basic Sciences, Shahrekord University, Shahrekord 8818634141, Iran.
Biotechnology Research Institute, Shahrekord University, Shahrekord 8818634141, Iran.
Metabolites. 2021 Jul 15;11(7):456. doi: 10.3390/metabo11070456.
The human gut microbiota plays a dual key role in maintaining human health or inducing disorders, for example, obesity, type 2 diabetes, and cancers such as colorectal cancer (CRC). High-throughput data analysis, such as metagenomics and metabolomics, have shown the diverse effects of alterations in dynamic bacterial populations on the initiation and progression of colorectal cancer. However, it is well established that microbiome and human cells constantly influence each other, so it is not appropriate to study them independently. Genome-scale metabolic modeling is a well-established mathematical framework that describes the dynamic behavior of these two axes at the system level. In this study, we created community microbiome models of three conditions during colorectal cancer progression, including carcinoma, adenoma and health status, and showed how changes in the microbial population influence intestinal secretions. Conclusively, our findings showed that alterations in the gut microbiome might provoke mutations and transform adenomas into carcinomas. These alterations include the secretion of mutagenic metabolites such as HS, NO compounds, spermidine and TMA (trimethylamine), as well as the reduction of butyrate. Furthermore, we found that the colorectal cancer microbiome can promote inflammation, cancer progression (e.g., angiogenesis) and cancer prevention (e.g., apoptosis) by increasing and decreasing certain metabolites such as histamine, glutamine and pyruvate. Thus, modulating the gut microbiome could be a promising strategy for the prevention and treatment of CRC.
人类肠道微生物群在维持人类健康或引发疾病方面起着双重关键作用,例如肥胖、2型糖尿病以及诸如结直肠癌(CRC)等癌症。高通量数据分析,如宏基因组学和代谢组学,已经表明动态细菌群体的改变对结直肠癌的发生和发展具有多种影响。然而,众所周知,微生物群和人类细胞相互之间持续影响,因此单独研究它们并不合适。基因组规模代谢建模是一个成熟的数学框架,可在系统层面描述这两个轴的动态行为。在本研究中,我们创建了结直肠癌进展过程中三种状态的群落微生物群模型,包括癌、腺瘤和健康状态,并展示了微生物群体的变化如何影响肠道分泌物。总之,我们的研究结果表明,肠道微生物群的改变可能引发突变并将腺瘤转变为癌。这些改变包括诱变代谢物如硫化氢、含氮化合物、亚精胺和三甲胺(TMA)的分泌,以及丁酸盐的减少。此外,我们发现结直肠癌微生物群可通过增加和减少某些代谢物如组胺、谷氨酰胺和丙酮酸来促进炎症、癌症进展(如血管生成)和癌症预防(如细胞凋亡)。因此,调节肠道微生物群可能是预防和治疗结直肠癌的一种有前景的策略。