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A non-targeting magnetic metal-organic framework probe for highly specific peptide-mediated precise disease monitoring.
Zhang, Wantong; Xu, Zixing; Zhang, Xiangmin; Yan, Yinghua; Deng, Chunhui; Sun, Nianrong.
Affiliation
  • Zhang W; Department of Chemistry, Department of Institutes of Biomedical Sciences, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
  • Xu Z; Department of Chemistry, Department of Institutes of Biomedical Sciences, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
  • Zhang X; Department of Chemistry, Department of Institutes of Biomedical Sciences, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
  • Yan Y; School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211, China. Electronic address: yanyinghua@nbu.edu.cn.
  • Deng C; Department of Chemistry, Department of Institutes of Biomedical Sciences, Zhongshan Hospital, Fudan University, Shanghai, 200433, China; School of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China. Electronic address: chdeng@fudan.edu.cn.
  • Sun N; Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. Electronic address: sunnianrong@fudan.edu.cn.
Talanta ; 274: 125948, 2024 Jul 01.
Article in En | MEDLINE | ID: mdl-38547837
ABSTRACT
Alzheimer's disease (AD) is a universal neurodegenerative disease in older adults with incurable and progressive properties, urging for precise monitoring to perform timely treatment to delay its progression. Herein, we introduced a non-targeting magnetic metal-organic framework probe coupled with high-throughput mass spectrometry, creating a rapid screening strategy for highly specific peptides associated with AD. Notably, an elution-free extraction process was proposed, significantly reducing sample preprocessing time while simultaneously ensuring the efficient detection of captured peptides. Using this elution-free extraction process, high-quality peptide profiles were rapidly extracted from the hundreds of samples from both diseased and healthy individuals. By integrating machine learning algorithms, LC-MS/MS, and Uniprot database searching, we identified three specific serum endogenous peptides (m/z = 4215.41, 2884.77 and 2704.61) closely associated with AD. Remarkably, with the use of any single specific peptide, the AUC (Area Under the Curve) values can reach approximately 0.9 during monitoring AD. Moreover, integrating three specific biomarkers provides a robust basis for machine learning algorithms to build monitoring models, with AUC value up to 1.000. This work represents a substantial advancement in the development of peptide-specific precise monitoring approaches for complex diseases, serving as a catalyst for increased dedication to the molecular detection field.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Alzheimer Disease / Metal-Organic Frameworks Limits: Humans Language: En Journal: Talanta Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Alzheimer Disease / Metal-Organic Frameworks Limits: Humans Language: En Journal: Talanta Year: 2024 Document type: Article