High-throughput metabolomics for discovering metabolic biomarkers from intestinal tumorigenesis in APC min/+ mice based on liquid chromatography/mass spectrometry

被引:7
作者
Guo, Xiang-dong [1 ]
Liu, Lei [1 ]
Xiao, Han-yan [1 ]
机构
[1] Mudanjiang Med Univ, Affiliated Hosp 2, Gastroenterol Dept, Mudanjiang 157000, Peoples R China
来源
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES | 2018年 / 1100卷
关键词
Metabolomics; Metabolic biomarker; Intestinal tumorigenesis; Liquid chromatography; Mass spectrometry; MASS-SPECTROMETRY; COLORECTAL-CANCER; ALZHEIMERS-DISEASE; MODEL SYSTEM; COLON-CANCER; STRATEGIES; MOLECULES; TARGETS; CARCINOGENESIS; HEPATOTOXICITY;
D O I
10.1016/j.jchromb.2018.09.042
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
As a major public health concern, colon cancer is one of the most common cancer types, which is also the second cause of cancer death in developed countries and the third most common cancer in other parts of the world. It was reported that patients diagnosed at early stage have a chance to obtain 5-year survival rates at least compared to patients with late stage. Facing the multistep process in intestinal tumorigenesis, there is an urgent need to develop more effective early detection strategies for ameliorating the patient clinical outcome. Metabolomics open up a novel avenue of seeking valuable potential biomarkers for assessing disease severity and prognosticating course by dynamic snapshot of small molecule metabolites. The study aims to provide deeper insights into the discovery, identification and functional pathways analysis of differentially expressed metabolites in intestinal tumorigenesis in APC (min/+) mice used by the serum metabolomics, and bring about useful information for further effective prevention and treatment of the disease. 17 marker metabolites and related metabolism pathway were identified using non-targeted metabolomics based on liquid chromatography/mass spectrometry (LC/MS) associated with multivariate statistical analysis. The ingenuity pathway analysis platform involved multiple-pathways was applied to metabolic network analysis for further understanding the relationship between functional metabolic pathways and disease.
引用
收藏
页码:131 / 139
页数:9
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