Vega-Rojas Ana, Haro Carmen, Molina-Abril Helena, Guil-Luna Silvia, Santos-Marcos Jose Antonio, Gutierrez-Mariscal Francisco Miguel, Garcia-Fernandez Helena, Caballero-Villarraso Javier, Rodriguez-Ariza Antonio, Lopez-Miranda Jose, Perez-Martinez Pablo, Hervas Antonio, Camargo Antonio
Lipids and Atherosclerosis Unit, Department of Internal Medicine, Reina Sofia University Hospital, 14004 Cordoba, Spain.
Department of Medical and Surgical Sciences, University of Cordoba, 14004 Cordoba, Spain.
Nutrients. 2024 Dec 28;17(1):84. doi: 10.3390/nu17010084.
BACKGROUND/OBJECTIVES: Gut microbiota interacts with nutrients, which may be relevant to assigning a microbial signature to colorectal cancer (CRC). We aim to evaluate the potential of gut microbiota combined with dietary habits in the early detection of pathological findings related to CRC in the course of a screening program.
The colonoscopy performed on 152 subjects positive for fecal occult blood test showed that 6 subjects had adenocarcinoma, 123 had polyps, and 23 subjects had no pathological findings. Gut microbiota was analyzed by 16S metagenomic. Caret package was used to build the classification models in R.
Random forest (RF) classifier models were used to test the potential of gut microbiota alone or combined with dietary habits as a biomarker to discern between individuals with CRC-related lesions (polyps or adenocarcinoma) versus individuals without pathological findings. RF classifier models yielded an area under the curve of 0.790 using gut microbiota data, 0.710 using dietary habits data, and 0.804 in the combined model including gut microbiota and dietary habits data. The abundance of , , , and was highly discriminant between groups, together with the consumption of fruit and vegetables and the consumption of carbonated and/or sweetened beverages.
Our results suggest that the interaction between gut microbiota and dietary habits is relevant when a microbial signature is used as a marker in CRC. Moreover, gut microbiota signature and information about the dietary habits of the individuals seem to be important for improving screening programs for the early detection of CRC.
背景/目的:肠道微生物群与营养物质相互作用,这可能与给结直肠癌(CRC)赋予微生物特征有关。我们旨在评估在筛查项目过程中,肠道微生物群结合饮食习惯在早期检测与CRC相关病理结果方面的潜力。
对152名粪便潜血试验呈阳性的受试者进行结肠镜检查,结果显示6名受试者患有腺癌,123名患有息肉,23名受试者无病理结果。通过16S宏基因组学分析肠道微生物群。使用Caret软件包在R中构建分类模型。
随机森林(RF)分类器模型用于测试单独使用肠道微生物群或结合饮食习惯作为生物标志物来区分患有CRC相关病变(息肉或腺癌)的个体与无病理结果个体的潜力。RF分类器模型使用肠道微生物群数据时曲线下面积为0.790,使用饮食习惯数据时为0.710,在包括肠道微生物群和饮食习惯数据的联合模型中为0.804。[此处原文中未提及具体的微生物种类,无法准确翻译]、[此处原文中未提及具体的微生物种类,无法准确翻译]、[此处原文中未提及具体的微生物种类,无法准确翻译]和[此处原文中未提及具体的微生物种类,无法准确翻译]的丰度在各组之间具有高度判别性,同时水果和蔬菜的摄入量以及碳酸饮料和/或含糖饮料的摄入量也具有判别性。
我们的结果表明,当将微生物特征用作CRC的标志物时,肠道微生物群与饮食习惯之间的相互作用是相关的。此外,肠道微生物群特征以及个体饮食习惯信息似乎对改进CRC早期检测的筛查项目很重要。