FeOOH@Metal–Organic Framework Core–Satellite Nanocomposites for the Serum Metabolic Fingerprinting of Gynecological Cancers

• Published in: Angewandte Chemie International Edition Vol. 59; no. 27; pp. 10831 - 10835
• Main Authors: Pei, Congcong, Liu, Chao, Wang, You, Cheng, Dan, Li, Rongxin, Shu, Weikang, Zhang, Chaoqi, Hu, Wenli, Jin, Aihua, Yang, Yannan, Wan, Jingjing
• Format: Journal Article
• Language: English
• Published: Germany Wiley Subscription Services, Inc 26.06.2020
• Edition: International ed. in English
• Subjects: Cancer; diagnostics; Female; Ferric Compounds - chemistry; Fingerprinting; Fingerprints; Genital Neoplasms, Female - blood; Gynecological cancer; gynecological cancers; Gynecology; Humans; Ionization; Ions; Mass spectrometry; Mass spectroscopy; Metabolism; metabolites; Metabolome; Metal-organic frameworks; Metal-Organic Frameworks - chemistry; Microscopy, Electron - methods; Nanocomposites; Nanocomposites - chemistry; Pretreatment; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods; Spectroscopy, Fourier Transform Infrared - methods; mass spectrometry; diagnostics; gynecological cancers; metabolites; metal-organic frameworks
• ISSN: 1433-7851; 1521-3773; 1521-3773
• DOI: 10.1002/anie.202001135

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. FeOOH@ZIF‐8 composites display enhanced ionization efficiency and size‐exclusion effect, enabling fast, sensitive, and selective LDI‐MS analysis of small metabolites in serum (1 μL) without pretreatment. Based on the extracted metabolic fingerprints, patients with three major gynecological cancers (ovarian, cervical, and endometrial cancer) were differentiated from healthy controls with high specificity and sensitivity.