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在不同宿主遗传背景影响下,协作杂交小鼠口服高脂饮食诱导的2型糖尿病(T2D)后肠道癌的发生情况。

Intestinal cancer development in response to oral infection with high-fat diet-induced Type 2 diabetes (T2D) in collaborative cross mice under different host genetic background effects.

作者信息

Lone Iqbal M, Midlej Kareem, Nun Nadav Ben, Iraqi Fuad A

机构信息

Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel-Aviv University, Ramat Aviv, 69978, Tel-Aviv, Israel.

出版信息

Mamm Genome. 2023 Mar;34(1):56-75. doi: 10.1007/s00335-023-09979-y. Epub 2023 Feb 9.

Abstract

Type 2 diabetes (T2D) is a metabolic disease with an imbalance in blood glucose concentration. There are significant studies currently showing association between T2D and intestinal cancer developments. High-fat diet (HFD) plays part in the disease development of T2D, intestinal cancer and infectious diseases through many biological mechanisms, including but not limited to inflammation. Understanding the system genetics of the multimorbidity of these diseases will provide an important knowledge and platform for dissecting the complexity of these diseases. Furthermore, in this study we used some machine learning (ML) models to explore more aspects of diabetes mellitus. The ultimate aim of this project is to study the genetic factors, which underline T2D development, associated with intestinal cancer in response to a HFD consumption and oral coinfection, jointly or separately, on the same host genetic background. A cohort of 307 mice of eight different CC mouse lines in the four experimental groups was assessed. The mice were maintained on either HFD or chow diet (CHD) for 12-week period, while half of each dietary group was either coinfected with oral bacteria or uninfected. Host response to a glucose load and clearance was assessed using intraperitoneal glucose tolerance test (IPGTT) at two time points (weeks 6 and 12) during the experiment period and, subsequently, was translated to area under curve (AUC) values. At week 5 of the experiment, mice of group two and four were coinfected with Porphyromonas gingivalis (Pg) and Fusobacterium nucleatum (Fn) strains, three times a week, while keeping the other uninfected mice as a control group. At week 12, mice were killed, small intestines and colon were extracted, and subsequently, the polyp counts were assessed; as well, the intestine lengths and size were measured. Our results have shown that there is a significant variation in polyp's number in different CC lines, with a spectrum between 2.5 and 12.8 total polyps on average. There was a significant correlation between area under curve (AUC) and intestine measurements, including polyp counts, length and size. In addition, our results have shown a significant sex effect on polyp development and glucose tolerance ability with males more susceptible to HFD than females by showing higher AUC in the glucose tolerance test. The ML results showed that classification with random forest could reach the highest accuracy when all the attributes were used. These results provide an excellent platform for proceeding toward understanding the nature of the genes involved in resistance and rate of development of intestinal cancer and T2D induced by HFD and oral coinfection. Once obtained, such data can be used to predict individual risk for developing these diseases and to establish the genetically based strategy for their prevention and treatment.

摘要

2型糖尿病(T2D)是一种血糖浓度失衡的代谢性疾病。目前有大量研究表明T2D与肠道癌的发生之间存在关联。高脂饮食(HFD)通过多种生物学机制,包括但不限于炎症,在T2D、肠道癌和传染病的疾病发展中起作用。了解这些疾病共病的系统遗传学将为剖析这些疾病的复杂性提供重要的知识和平台。此外,在本研究中,我们使用了一些机器学习(ML)模型来探索糖尿病的更多方面。该项目的最终目标是研究在相同宿主遗传背景下,与肠道癌相关的、因食用HFD和口腔共感染(联合或单独)而导致T2D发展的遗传因素。对四个实验组中八个不同CC小鼠品系的307只小鼠进行了评估。将小鼠维持在HFD或普通饮食(CHD)上12周,同时每个饮食组的一半小鼠要么口腔感染细菌,要么未感染。在实验期间的两个时间点(第6周和第12周),使用腹腔葡萄糖耐量试验(IPGTT)评估宿主对葡萄糖负荷和清除的反应,随后将其转化为曲线下面积(AUC)值。在实验的第5周,第二组和第四组的小鼠每周三次感染牙龈卟啉单胞菌(Pg)和具核梭杆菌(Fn)菌株,同时将其他未感染的小鼠作为对照组。在第12周,处死小鼠,取出小肠和结肠,随后评估息肉数量;同时,测量肠道长度和大小。我们的结果表明,不同CC品系的息肉数量存在显著差异,平均总息肉数在2.5至12.8之间。曲线下面积(AUC)与肠道测量值(包括息肉数量、长度和大小)之间存在显著相关性。此外,我们的结果表明,息肉发展和葡萄糖耐量能力存在显著的性别效应,雄性比雌性更容易受到HFD影响,在葡萄糖耐量试验中表现出更高的AUC。ML结果表明,当使用所有属性时,随机森林分类的准确率最高。这些结果为进一步了解参与抵抗HFD和口腔共感染诱导的肠道癌和T2D的基因性质及其发展速率提供了一个极好的平台。一旦获得这些数据,就可以用于预测个体患这些疾病的风险,并建立基于基因的预防和治疗策略。

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