Gut microbiome as a potential biomarker of cancer risk in inflammatory bowel disease

Ryan Jones
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引用次数: 1

Abstract

Inflammatory bowel disease (IBD), a term used for Crohn’s disease and ulcerative colitis that are characterized by chronic inflammation of the gastrointestinal tract, has been suggested to be closely related to high risk of developing colorectal or gastric cancer [1]. Focusing on patient cases and studies, this study aims to identify the cause of a possible correlation between IBD and cancerous cells, and determine the influence of IBD on cancerous cells in patients. A gut microbiome analysis was utilized to understand the mechanisms of the disease and to find associations with it in patients. I analyzed the experimental data obtained through amplicon sequencing to target regions of interest, and determined genes associated with the correlation by using coding programs. Biological processes, which are regulated by many means including the control of gene expression, were shown to be increased in patients with IBD compared to healthy subjects. Two datasets were used, with one going over an amplicon sequence analysis of fecal samples from healthy subjects and patients diagnosed with ulcerative colitis or Crohn’s disease. I performed gut metagenome analysis on the data of the patients’ fecal samples. This along with taxonomy analysis allows me to see percentages of certain bacterium in the gut and find a link. I was able to determine that the patients with IBD had a higher percentage of dark matter and a higher guanine to cytosine content (GC-content) percentage. This huge difference in the amount of dark matter and GC-content in an individual’s human gut metagenome could be an indicator of someone potentially developing a disease.
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肠道微生物组作为炎症性肠病癌症风险的潜在生物标志物
炎症性肠病(IBD)是指以胃肠道慢性炎症为特征的克罗恩病(Crohn 's disease)和溃疡性结肠炎(ulative colitis),已被认为与发生结直肠癌或胃癌的高风险密切相关。本研究以患者病例和研究为重点,旨在找出IBD与癌细胞之间可能存在关联的原因,确定IBD对患者癌细胞的影响。利用肠道微生物组分析来了解疾病的机制,并在患者中找到与疾病的关联。我将扩增子测序得到的实验数据分析到感兴趣的靶区,并利用编码程序确定与相关性相关的基因。研究表明,与健康受试者相比,IBD患者的生物过程(包括基因表达的控制)有所增加。使用了两个数据集,其中一个是对健康受试者和诊断为溃疡性结肠炎或克罗恩病的患者的粪便样本进行扩增子序列分析。我对患者的粪便样本数据进行了肠道宏基因组分析。再加上分类学分析,我可以看到肠道中某些细菌的百分比,并找到它们之间的联系。我能够确定IBD患者有更高的暗物质百分比和更高的鸟嘌呤与胞嘧啶含量(gc含量)百分比。一个人的肠道宏基因组中暗物质和gc含量的巨大差异可能是一个人潜在患病的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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