结直肠癌
化学
发病机制
炎症
癌症
结肠炎
癌症研究
过渡(遗传学)
内科学
生物化学
基因
医学
作者
Dunfang Wang,Lin Zhu,Haifan Liu,Xue Feng,Caijuan Zhang,Bin Liu,Tao Li,Li Liu,Hao Chang,Jingwei Sun,Jing Wang,Weipeng Yang
标识
DOI:10.1016/j.jpba.2024.116553
摘要
Colitis-associated colorectal cancer (CAC) is fatal and can develop spontaneously or as a complication of inflammatory bowel diseases. Although co-administration of azoxymethane/dextran sulfate sodium (AOM/DSS) is a classic method for CAC modeling, its limitations need to be addressed. Accordingly, we aimed to optimize the AOM/DSS model to study CAC extensively and further investigate its pathogenic mechanisms relative to microbiota and metabolism. We optimized the CAC model via a single or enhanced injection of AOM combined with different administration modes and varying DSS concentrations. Subsequently, the fecal-microbiota composition was examined using 16S RNA sequencing, and fecal-colon-metabolome profiles were evaluated via ultra-high performance liquid chromatography-mass spectrometry. Two interval injections of AOM combined with 1.5 % DSS-free drinking resulted in a high tumor formation rate, uniform tumor formation, and low mortality. Based on this model, we innovatively divided the pathogenesis of CAC into three stages, namely inflammation induction, proliferation initiation, and tumorigenesis, and examined the pathological characteristics in each stage. Gut microbial dysbiosis and metabolic alteration drove colorectal tumorigenesis by aggravating inflammation while promoting cell proliferation and carcinogenesis in mice. For the first time, we dynamically demonstrated the process of colon "inflammation to cancer" transformation and provided novel insights to clarify the role of amino acid metabolism in the formation of CAC.
科研通智能强力驱动
Strongly Powered by AbleSci AI