Metabolic Molecular Diagnosis of Inflammatory Bowel Disease by Synergistical Promotion of Layered Titania Nanosheets with Graphitized Carbon  

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作  者:Xufang Hu Yang Zhang Chunhui Deng Nianrong Sun Hao Wu 

机构地区:[1]Department of Chemistry,Institute of Metabolism&Integrate Biology(IMIB),Fudan University,Shanghai 200433,China [2]Department of Gastroenterology and Hepatology,Zhongshan Hospital,Fudan University,Shanghai 200032,China

出  处:《Phenomics》2022年第4期261-271,共11页表型组学(英文)

基  金:This work was financially supported by National Key R&D Program of China(2018YFA0507501);the National Natural Science Foundation of China(22074019,21425518,22004017);Shanghai Sailing Program(20YF1405300).

摘  要: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 fmolμL−1)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.

关 键 词:Graphitized carbon Mesoporous titania METABOLITE Mass spectrometry Machine learning Diagnosis 

分 类 号:R574[医药卫生—消化系统]

 

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