Preparation of Dysprosium(III)-Metal Organic Framework Nanofiber for Exosome Capture and Biomarker Discovery toward Liver Disease.

ACS Appl Mater Interfaces

Center for Supramolecular Chemical Biology, State Key Laboratory of Supramolecular Structure and Materials, School of Life Sciences, Jilin University, Changchun 130012, China.

Published: October 2024

AI Article Synopsis

  • Exosomes are a promising source for liquid biopsy in clinical diagnosis, but traditional isolation methods lack efficiency for large sample sizes.* -
  • A new method using a dysprosium-metal organic framework combined with nanofibers allows for efficient exosome capture from body fluids, enabling high throughput isolation.* -
  • The method was tested on urinary exosomes from liver disease patients, revealing accurate differentiation between conditions like hepatocellular carcinoma and cirrhosis using mass spectrometry and machine learning.*

Article Abstract

As an emerging source for liquid biopsy, exosomes hold significant promise for clinical diagnosis. However, commonly used exosome isolation methods (e.g., ultracentrifugation) suffer from low throughput for a large number of clinical samples. Herein, a dysprosium-metal organic framework was synthesized and doped with nanofibers by electrospinning for efficient capture of exosomes from body fluid. With the integration of multichannel of pipet or robot automatic workstation, high throughput exosome isolation can be achieved with clinical samples with high reproducibility. To evaluate the clinical value of the developed method, urinary exosomes were enriched from 34 liver disease samples of different stages for the profiling of metabolites by mass spectrometry. The results showed that HCC, cirrhosis, and healthy controls can be significantly differentiated by the Random Forest classification model. The dysprosium-metal organic framework has promising applications in exosome-based liquid biopsy for large-scale clinical disease diagnosis.

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Source
http://dx.doi.org/10.1021/acsami.4c14045DOI Listing

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