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Designed Directional Growth of Ti-Metal-Organic Frameworks for Decoding Alzheimer's Disease-Specific Exosome Metabolites.
Chen, Yijie; Zhang, Man; Yang, Chenyu; Gao, Mingxia; Yan, Yinghua; Deng, Chunhui; Sun, Nianrong.
Affiliation
  • Chen Y; Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Fudan University, Shanghai 200032, China.
  • Zhang M; Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Fudan University, Shanghai 200032, China.
  • Yang C; Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Fudan University, Shanghai 200032, China.
  • Gao M; Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Fudan University, Shanghai 200032, China.
  • Yan Y; School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
  • Deng C; Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Fudan University, Shanghai 200032, China.
  • Sun N; School of Chemistry and Chemical Engineering, Nanchang University, Nanchang 330031, China.
Anal Chem ; 96(6): 2727-2736, 2024 02 13.
Article in En | MEDLINE | ID: mdl-38300748
ABSTRACT
Exosomes, a growing focus for liquid biopsies, contain diverse molecular cargos. In particular, exosome metabolites with valuable information have exhibited great potential for improving the efficiency of liquid biopsies for addressing complex medical conditions. In this work, we design the directional growth of Ti-metal-organic frameworks on polar-functionalized magnetic particles. This design facilitates the rapid synergistic capture of exosomes with the assistance of an external magnetic field and additionally synergistically enhances the ionization of their metabolites during mass spectrometry detection. Benefiting from this dual synergistic effect, we identified three high-performance exosome metabolites through the differential comparison of a large number of serum samples from individuals with Alzheimer's disease (AD) and normal cognition. Notably, the accuracy of AD identification ranges from 93.18 to 100% using a single exosome metabolite and reaches a flawless 100% with three metabolites. These findings emphasize the transformative potential of this work to enhance the precision and reliability of AD diagnosis, ushering in a new era of improved diagnostic accuracy.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exosomes / Alzheimer Disease / Metal-Organic Frameworks Type of study: Prognostic_studies Limits: Humans Language: En Journal: Anal Chem Year: 2024 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exosomes / Alzheimer Disease / Metal-Organic Frameworks Type of study: Prognostic_studies Limits: Humans Language: En Journal: Anal Chem Year: 2024 Type: Article Affiliation country: China