Investigation of Urinary Exosome Metabolic Patterns in Membranous Nephropathy by Titania-Assisted Intact Exosome Mass Spectrometry

被引:15
作者
Chen, Haolin [1 ,2 ]
Zhang, Ning [1 ,2 ]
Wu, Yonglei [1 ,2 ]
Yang, Chenjie [1 ,2 ]
Xie, Qionghong [3 ]
Deng, Chunhui [1 ,2 ]
Sun, Nianrong [4 ]
机构
[1] Fudan Univ, Dept Chem, Shanghai 200433, Peoples R China
[2] Fudan Univ, Inst Biomed Sci, Shanghai 200433, Peoples R China
[3] Fudan Univ, Huashan Hosp, Div Nephrol, Shanghai 200040, Peoples R China
[4] Fudan Univ, Zhongshan Hosp, Dept Gastroenterol & Hepatol, Shanghai 200032, Peoples R China
来源
SMALL SCIENCE | 2022年 / 2卷 / 05期
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
diagnosis; exosomes; mass spectrometry; membranous nephropathy; metabolites; titania; TIO2; ENRICHMENT; BIOLOGY;
D O I
10.1002/smsc.202100118
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Exosomes are regarded as the emerging potential targets for liquid biopsy and bioprocess study owing to their abundant inclusive cargos that carry significant disease information. In addition, metabolites have been promising biomarkers for diagnosis. However, little metabolic research on exosomes is carried out by now. Herein, the mix-crystal titania-assisted laser desorption/ionization mass spectrometry (LDI-MS) method is established, which features fast speed, high throughput, and efficiency, to directly extract urinary exosome metabolic patterns of healthy controls (HC) and membrane nephropathy (MN) patients. Besides, this method is also adopted to acquire the primitive urinary metabolic patterns from the same samples for comparison. By taking advantage of principal component analysis, unpaired parametric t-test, and orthogonal partial least squares discriminant analysis on the exosome metabolic patterns, 27 significant m/z signals are filtrated, which possess more prominent differentiation capacity toward HC and MN patients (AUC = 0.942), and hold greater potential in MN diagnosis, compared to primitive urine (AUC = 0.801). The work reveals the important clinical value of exosome metabolic analysis, and paves a way to exosome-based diagnosis at metabolomic level toward large-scale clinical use.
引用
收藏
页数:8
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