Hu Xufang, Zhang Yang, Deng Chunhui, Sun Nianrong, Wu Hao
Department of Chemistry, Institute of Metabolism & Integrate Biology (IMIB), Fudan University, Shanghai, 200433 China.
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China.
Phenomics. 2022 Jun 1;2(4):261-271. doi: 10.1007/s43657-022-00055-0. eCollection 2022 Aug.
Due to inefficient diagnostic methods, inflammatory bowel disease (IBD) normally progresses into severe complications including cancer. Highly efficient extraction and identification of metabolic fingerprints are of significance for disease surveillance. In this work, we synthesized a layered titania nanosheet doped with graphitized carbon (2D-GC-mTNS) through a simple one-step assembly process for assisting laser desorption ionization mass spectrometry (LDI-MS) for metabolite analysis. Based on the synergistic effect of graphitized carbon and mesoporous titania, 2D-GC-mTNS exhibits good extraction ability including high sensitivity (< 1 fmol µL) and great repeatability toward metabolites. A total of 996 fingerprint spectra were collected from hundreds of native urine samples (including IBD patients and healthy controls), each of which contained 1220 m/z metabolite features. Diagnostic model was further established for precise discrimination of patients from healthy controls, with high area under the curve value of 0.972 and 0.981 toward discovery cohort and validation cohort, respectively. The 2D-GC-mTNS promotes LDI-MS to be close to clinical application, with rapid speed, minimum sample consumption and free of sample pretreatment.
The online version contains supplementary material available at 10.1007/s43657-022-00055-0.
由于诊断方法效率低下，炎症性肠病（IBD）通常会发展为包括癌症在内的严重并发症。高效提取和识别代谢指纹图谱对于疾病监测具有重要意义。在这项工作中，我们通过简单的一步组装过程合成了一种掺杂石墨化碳的层状二氧化钛纳米片（2D-GC-mTNS），用于辅助激光解吸电离质谱（LDI-MS）进行代谢物分析。基于石墨化碳和介孔二氧化钛的协同效应，2D-GC-mTNS对代谢物表现出良好的提取能力，包括高灵敏度（<1 fmol μL）和高重复性。从数百份天然尿液样本（包括IBD患者和健康对照）中收集了总共996个指纹图谱，每份样本包含1220个m/z代谢物特征。进一步建立了诊断模型，用于准确区分患者和健康对照，对发现队列和验证队列的曲线下面积值分别高达0.972和0.981。2D-GC-mTNS使LDI-MS更接近临床应用，具有速度快、样品消耗少且无需样品预处理的特点。
在线版本包含可在10.1007/s43657-022-00055-0获取的补充材料。
