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

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 spectrome...

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Published in:Angewandte Chemie International Edition 2020-06, Vol.59 (27), p.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: Article
Language: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
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Summary: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.
ISSN:1433-7851
1521-3773
DOI:10.1002/anie.202001135