摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细介绍了人工智能ce的数据。根据NewsRx编辑在诺丁汉联合发表的新闻报道，研究表明，“代谢组学可以揭示对益生元纤维和omega-3脂肪酸补充剂的生理反应，并识别反应特异的代谢物。”我们的新闻记者从Notti Ngham大学的研究中获得了一句话：“我们对64名健康成人的534份粪便和799份血清代谢物进行了为期6周的随机试验，比较了每日omega-3和菊粉的供应。使用弹性网络回归分别鉴定血清和s工具代谢物，它们的浓度变化区分了两种类型的补充剂。使用随机森林法为了探讨肠道微生物群对匹配粪便样品中鉴定的代谢物水平的贡献。血清3-carboxy-4-methyl-5-propyl-2-furanpropanoate和吲哚丙酸水平的变化准确区分纤维和omega-3之间(曲线下面积(AUC)=0.87[95%置信区间(CI):0.63-0.99])，粪便中二十碳五烯酸酯的补充量为O mega-3（AUC=0.86[95%CI：0.6 4-0.98]）。单变量分析还显示吲哚丙酸纤维组、3-carboxy-4-methyl-5-propyl-2-furanpropanoat E组和二十碳五烯酸omega-3组显著增加。肠道微生物群组成的变化（AUC=0.61[95%CI：0.58-0.64]和Rho=0.21[95%CI：0.08-0.34]）仅部分解释了吲哚丙酸的变化，并与Copr球菌属丰度的增加呈正相关（P=0.005）。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting out of Nottingham, United Ki ngdom, by NewsRx editors, research stated, "Metabolomics can uncover physiologic al responses to prebiotic fibre and omega-3 fatty acid supplements with known he alth benefits and identify response-specific metabolites." Our news journalists obtained a quote from the research from University of Notti ngham: "We profiled 534 stool and 799 serum metabolites in 64 healthy adults fol lowing a 6-week randomised trial comparing daily omega-3 versus inulin supplemen tation. Elastic net regressions were used to separately identify the serum and s tool metabolites whose change in concentration discriminated between the two typ es of supplementations. Random forest was used to explore the gut microbiome's c ontribution to the levels of the identified metabolites from matching stool samp les. Changes in serum 3-carboxy-4-methyl-5-propyl- 2-furanpropanoate and indolepr oprionate levels accurately discriminated between fibre and omega-3 (area under the curve (AUC) = 0.87 [95% confidence interval (CI): 0.63-0.99]), while stool eicosapentaenoate indicated o mega-3 supplementation (AUC = 0.86 [95% CI: 0.6 4-0.98]). Univariate analysis also showed significant increas es in indoleproprionate with fibre, 3-carboxy-4-methyl-5-propyl-2-furanpropanoat e, and eicosapentaenoate with omega-3. Out of these, only the change in indolepr oprionate was partly explained by changes in the gut microbiome composition (AUC = 0.61 [95% CI: 0.58-0.64] and Rho = 0.21 [95% CI: 0.08-0.34] ) and positively correlated with the increase in the abundance of the genus Copr ococcus (p = 0.005)."
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