School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China.
Shanghai Key Laboratory of Gynecologic Oncology, Renji Hospital, Shanghai, 200001, P. R. China.
Angew Chem Int Ed Engl. 2020 Jun 26;59(27):10831-10835. doi: 10.1002/anie.202001135. Epub 2020 May 7.
High-throughput metabolic analysis is of significance in diagnostics, while tedious sample pretreatment has largely hindered its clinic application. Herein, we designed FeOOH@ZIF-8 composites with enhanced ionization efficiency and size-exclusion effect for laser desorption/ionization mass spectrometry (LDI-MS)-based metabolic diagnosis of gynecological cancers. The FeOOH@ZIF-8-assisted LDI-MS achieved rapid, sensitive, and selective metabolic fingerprints of the native serum without any enrichment or purification. Further analysis of extracted serum metabolic fingerprints successfully discriminated patients with gynecological cancers (GCs) from healthy controls and also differentiated three major subtypes of GCs. Given the low cost, high-throughput, and easy operation, our approach brings a new dimension to disease analysis and classification.
高通量代谢分析在诊断学中具有重要意义，但其繁琐的样本预处理在很大程度上阻碍了其临床应用。在此，我们设计了具有增强的离子化效率和尺寸排阻效应的 FeOOH@ZIF-8 复合材料，用于基于激光解吸/电离质谱（LDI-MS）的妇科癌症代谢诊断。FeOOH@ZIF-8 辅助的 LDI-MS 实现了对天然血清的快速、灵敏和选择性代谢指纹分析，无需任何富集或纯化。对提取的血清代谢指纹的进一步分析成功地区分了妇科癌症（GC）患者与健康对照者，并且还区分了 GC 的三个主要亚型。鉴于其低成本、高通量和易于操作的特点，我们的方法为疾病分析和分类带来了新的维度。
