Metabolomics study of tissue and blood of CRC based on GC-MS
作者:尚芳1,裴斌2,樊志敏2
单位:1.蚌埠市中医医院 肛肠科,安徽 蚌埠 233300; 2.南京市中医院 肛肠科,江苏 南京
210000
Authors: Shang Fang1,Pei Bin2,Fan Zhimin2
Unit: 1. Anorectal Department,Bengbu
Traditional Chinese Medicine Hospital,Bengbu 233300,Anhui,China; 2. Anorectal Department,Nanjing Chinese Medicine Hospital,Nanjing
210000,Jiangsu,China
摘要:
目的 运用气相色谱-质谱(GS-MS)技术对结直肠癌(CRC)患者的组织和血清进行检测分析,为揭示CRC的发病机制和早期诊断提供基础依据。方法 选取南京市中医院肛肠科2020年5月至11月收治的CRC住院患者48例,采集术前和术后1周的血清以及癌组织和正常组织,运用GC-MS技术对样本进行检测分析,分别对照术前和术后血清、癌组织和正常组织的分析结果,找出每组两者之间的差异代谢产物,将差异代谢物导入MetaboAnalyst在线系统进行代谢通路的分析。结果 癌组织和正常组织的代谢谱区分度良好,术前和术后血清的区分度欠佳。利用NIST数据库鉴定出与CRC病变相关的血清潜在生物标志物13种,组织生物标志物18种。经过KEGG通路分析,CRC患者体内存在不饱和脂肪酸、半乳糖等代谢异常。结论 CRC患者体内存在不饱和脂肪酸、半乳糖等代谢异常,血清和组织中鉴定的代谢物有望成为CRC早期诊断的潜在生物标志物。
关键词:气相色谱-质谱; 结直肠癌; 代谢组学
Abstract:
Objective In this study,the serum and tissues of CRC patients were
detected and analyzed by gas chromatography-mass spectrometry (GS-MS),so as to provide a theoretical basis for revealing the pathogenesis
and early diagnosis of CRC. Method A total of 48 CRC patients were
selected which admitted to the Anorectal Department of Nanjing Chinese Medicine
Hospital from May to November 2020 ,and their serum,cancer tissue and normal colorectal tissue were collected before
treatment and 1 week after surgical treatment (hereinafter referred to as
preoperative and postoperative). Result The metabolic spectrum of cancer
tissue and normal tissue was good,but the serum
differentiation between pre -operation and post-operation was poor. We got 13
potential serum biomarkers and 18 tissue biomarkers related to CRC from the
NIST database. According to KEGG pathway analysis,there
are metabolic abnormalities such as unsaturated fatty acids and galactose in
CRC patients. Conclusion The occurrence of CRC is related to metabolic
abnormalities such as unsaturated fatty acids and galactose. The metabolites
identified in serum and tissue are expected to be potential biomarkers for the
early diagnosis of CRC.
Key Words: Gas
chromatography-mass spectrometry; Colorectal cancer; Metabolomics
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