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整合多组学分析为了解肠道微生物群对结肠腺瘤易感性的调节作用提供了线索。

Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota.

机构信息

University of Missouri School of Medicine , Columbia, Missouri, USA.

Luxembourg Centre for Systems Biomedicine, University of Luxembourg , Esch-sur-Alzette, Luxembourg.

出版信息

mSystems. 2023 Aug 31;8(4):e0015123. doi: 10.1128/msystems.00151-23. Epub 2023 Jul 17.

Abstract

Colon cancer onset is strongly associated with the differences in microbial taxa in the gastrointestinal tract. Although recent studies highlight the role of individual taxa, the effect of a complex gut microbiome (GM) on the metabolome and host transcriptome is still unknown. We used a multi-omics approach to determine how differences in the GM affect the susceptibility to adenoma development in a rat model of human colon cancer. Ultra-high performance liquid chromatography mass spectrometry of feces collected prior to observable disease onset identified putative metabolite profiles that likely predict future disease severity. Transcriptome analyses performed after disease onset from normal colonic epithelium and tumor tissues show a correlation between GM and host gene expression. Integrated pathway analyses of the metabolome and transcriptome based on putatively identified metabolic features indicate that bile acid biosynthesis is enriched in rats with high tumors along with increased fatty acid metabolism and mucin biosynthesis. Targeted pyrosequencing of the Pirc allele indicates that the GM alters the mechanism of adenoma development and may drive an epigenetic pathway of tumor suppressor silencing. This study reveals how untargeted metabolomics identifies signatures of susceptibility and integrated analyses uncover pathways of differential mechanisms of loss of tumor suppressor gene function and for potential prevention and therapeutic intervention. IMPORTANCE The association between the gut microbiome and colon cancer is significant but difficult to test in model systems. This study highlights the association of differences in the pathogen-free gut microbiome to changes in the host transcriptome and metabolome that correlate with colon adenoma initiation and development in a rat genetic model of early colon cancer. The utilization of a multi-omics approach integrating metabolomics and transcriptomics reveals differences in pathways including bile acid biosynthesis and fatty acid metabolism. The study also shows that differences in gut microbiomes significantly alter the mechanism of adenoma formation, shifting from genetic changes to epigenetic changes that initiate the early loss of tumor suppressor function. These findings enhance our understanding of the gut microbiome's role in colon cancer susceptibility, offer insights into potential biomarkers and therapeutic targets, and may pave the way for future prevention and intervention strategies.

摘要

结直肠癌的发生与胃肠道微生物分类群的差异密切相关。虽然最近的研究强调了个别分类群的作用,但复杂的肠道微生物组(GM)对代谢组和宿主转录组的影响仍不清楚。我们使用多组学方法来确定 GM 的差异如何影响人类结直肠癌大鼠模型中腺瘤发展的易感性。在可观察到疾病发生之前收集的粪便的超高效液相色谱-质谱分析确定了可能预测未来疾病严重程度的假定代谢物特征。疾病发生后从正常结肠上皮和肿瘤组织进行的转录组分析显示 GM 与宿主基因表达之间存在相关性。基于假定鉴定的代谢特征对代谢组和转录组进行的综合途径分析表明,在具有高肿瘤的大鼠中胆汁酸生物合成富集,同时脂肪酸代谢和粘蛋白生物合成增加。靶向焦磷酸测序表明,GM 改变了腺瘤发展的机制,并可能驱动肿瘤抑制基因沉默的表观遗传途径。这项研究揭示了非靶向代谢组学如何识别易感性特征,以及综合分析如何揭示不同的肿瘤抑制基因功能丧失机制的途径,为潜在的预防和治疗干预提供了依据。

重要性

肠道微生物组与结直肠癌之间的关联具有重要意义,但在模型系统中难以进行测试。本研究强调了无病原体肠道微生物组的差异与宿主转录组和代谢组的变化之间的关联,这些变化与大鼠遗传模型中早期结直肠癌的结肠腺瘤起始和发展相关。多组学方法(包括代谢组学和转录组学)的综合应用揭示了包括胆汁酸生物合成和脂肪酸代谢在内的途径的差异。该研究还表明,肠道微生物组的差异会显著改变腺瘤形成的机制,从遗传变化转变为启动早期肿瘤抑制功能丧失的表观遗传变化。这些发现增强了我们对肠道微生物组在结直肠癌易感性中的作用的理解,为潜在的生物标志物和治疗靶点提供了新的见解,并可能为未来的预防和干预策略铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f39/10469915/9ec4c952603a/msystems.00151-23.f001.jpg

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