Gut microbiota and serum metabolite signatures along the colorectal adenoma-carcinoma sequence: Implications for early detection and intervention

被引:0
|
作者
Guo, Xiaodong [1 ]
Wang, Ruoyao [1 ]
Chen, Rui [1 ]
Zhang, Zhongxiao [3 ]
Wang, Jingxia [1 ]
Liu, Xuan [2 ]
机构
[1] Shanghai Univ Tradit Chinese Med, Yueyang Hosp Integrated Tradit Chinese & Western M, Dept Oncol, Shanghai 200437, Peoples R China
[2] Shanghai Univ Tradit Chinese Med, Inst Interdisciplinary Integrat Med Res, Shanghai 201203, Peoples R China
[3] Shanghai Jiao Tong Univ, Tongren Hosp, Hongqiao Int Inst Med, Sch Med, 1111 XianXia Rd, Shanghai 200336, Peoples R China
基金
上海市自然科学基金;
关键词
Adenoma; Gut microbes; Serum metabolites; Colorectal cancer; HIGH-FAT-DIET; ALPHA-LINOLENIC ACID; COLONIC INFLAMMATION; CANCER STATISTICS; BUTYRATE; CARCINOGENESIS; BACTERIA; RECEPTOR; GPR109A; COLITIS;
D O I
暂无
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Aim: Our study focuses on the microbial and metabolomic profile changes during the adenoma stage, as adenomas can be considered potential precursors to colorectal cancer through the adenoma-carcinoma sequence. Identifying possible intervention targets at this stage may aid in preventing the progression of colorectal adenoma (CRA) to malignant lesions. Furthermore, we evaluate the efficacy of combined microbial and metabolite biomarkers in detecting CRA. Methods: Fecal metagenomic and serum metabolomic analyses were performed for the discovery of alterations of gut microbiome and metabolites in CRA patients (n = 26), Colorectal cancer (CRC) patients (n = 19), Familial Adenomatous Polyposis (FAP) patients (n = 10), and healthy controls (n = 20). Finally, analyzing the associations between gut microbes and metabolites was performed by a Receiver Operating Characteristic (ROC) curve. Results: Our analysis present that CRA patients differ significantly in gut microflora and serum metabolites compared with healthy controls, especially for Lachnospiraceae and Parasutterella. Its main metabolite, butyric acid, concentrations were raised in CRA patients compared with the healthy controls, indicating its role as a promoter of colorectal tumorigenesis. alpha-Linolenic acid and lysophosphatidylcholine represented the other healthy metabolite for CRA. Combining five microbial and five metabolite biomarkers, we differentiated CRA from CRC with an Area Under the Curve (AUC) of 0.85 out of this performance vastly superior to the specificity recorded by traditional markers CEA and CA199 in such differentiation of these conditions. Conclusions: The study underlines significant microbial and metabolic alterations in CRA with a novel insight into screening and early intervention of its tumorigenesis.
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页数:12
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