Zhao Huifang, Zhao Huayu, Wang Jie, Ren Jianying, Yao Jia, Li Yanqiu, Zhang Ruiping
Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan 030032, China.
School of Basic Medical Sciences, Shanxi Medical University, Taiyuan 030001, China.
Anal Chem. 2023 Aug 1;95(30):11296-11305. doi: 10.1021/acs.analchem.3c01358. Epub 2023 Jul 17.
Gastric cancer is one of the most common malignant digestive cancers, and its diagnostic has still faced challenges based on metabolic analysis due to complex sample pretreatment and low metabolite abundance. In this study, inspired by the structure of bovine omasum, we synthesized a novel interfacial carbon-based nanocomposite of graphene supported nickel nanoparticles-encapsulated in the nitrogen-doped carbon nanotube (Ni/N-CNT/rGO), which was served as a novel matrix with enhanced ionization efficiency for the matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) saliva metabolic analysis of gastric cancer. Benefiting from its high sp graphitic degree, large surface area, strong UV absorption, and rich active sites, Ni/N-CNT/rGO matrix exhibited excellent performances of reproducibility, coverage, salt-tolerance, sensitivity, and adsorption ability in MALDI-TOF MS. The differential scanning calorimetry (DSC) and thermal conversion behaviors explained the highly efficient LDI mechanism. Based on saliva metabolic fingerprints, Ni/N-CNT/rGO assisted LDI MS with cross-validation analysis could successfully distinguish gastric cancer patients from healthy controls through the screening of four potential biomarkers with an accuracy of 92.50%, specificity of 88.03%, and sensitivity of 97.12%. This work provided a fast and sensitive MS sensing platform for the metabolomics characterization of gastric cancer and might have potential value for precision medicine in the future.
胃癌是最常见的恶性消化系统癌症之一，由于样本预处理复杂且代谢物丰度低，基于代谢分析的胃癌诊断仍面临挑战。在本研究中，受牛皱胃结构的启发，我们合成了一种新型的界面碳基纳米复合材料，即氮掺杂碳纳米管封装的石墨烯负载镍纳米颗粒（Ni/N-CNT/rGO），它作为一种新型基质，用于提高基质辅助激光解吸/电离飞行时间质谱（MALDI-TOF MS）对胃癌唾液代谢分析的电离效率。得益于其高sp石墨化程度、大表面积、强紫外吸收和丰富的活性位点，Ni/N-CNT/rGO基质在MALDI-TOF MS中表现出优异的重现性、覆盖率、耐盐性、灵敏度和吸附能力。差示扫描量热法（DSC）和热转换行为解释了高效的激光解吸电离机制。基于唾液代谢指纹图谱，Ni/N-CNT/rGO辅助的激光解吸电离质谱结合交叉验证分析，通过筛选四种潜在生物标志物，能够成功区分胃癌患者和健康对照，准确率为92.50%，特异性为88.03%，灵敏度为97.12%。这项工作为胃癌的代谢组学表征提供了一个快速灵敏的质谱传感平台，可能对未来的精准医学具有潜在价值。
