Cross-Referencing Multifluid Metabolic Profiles on Hollow Dodecahedral Nanocages for Enhanced Disease Status Identification
Fangying Shi
School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211 China
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Department of Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433 China
Search for more papers by this authorLingli Chen
Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
Search for more papers by this authorYiming Qiao
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Department of Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433 China
Search for more papers by this authorCorresponding Author
Chunhui Deng
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Department of Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433 China
School of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031 China
E-mail: [email protected]; [email protected]; [email protected]
Search for more papers by this authorCorresponding Author
Qunyan Yao
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
Department of Gastroenterology and hepatology, Zhongshan hospital (Xiamen), Fudan University, Xiamen, 361015 China
Shanghai institute of liver diseases, Shanghai, 200032 China
Shanghai Geriatric Medical center, Shanghai, 201104 China
E-mail: [email protected]; [email protected]; [email protected]
Search for more papers by this authorCorresponding Author
Nianrong Sun
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
Shanghai institute of liver diseases, Shanghai, 200032 China
E-mail: [email protected]; [email protected]; [email protected]
Search for more papers by this authorFangying Shi
School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211 China
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Department of Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433 China
Search for more papers by this authorLingli Chen
Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
Search for more papers by this authorYiming Qiao
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Department of Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433 China
Search for more papers by this authorCorresponding Author
Chunhui Deng
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Department of Chemistry, Department of Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433 China
School of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031 China
E-mail: [email protected]; [email protected]; [email protected]
Search for more papers by this authorCorresponding Author
Qunyan Yao
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
Department of Gastroenterology and hepatology, Zhongshan hospital (Xiamen), Fudan University, Xiamen, 361015 China
Shanghai institute of liver diseases, Shanghai, 200032 China
Shanghai Geriatric Medical center, Shanghai, 201104 China
E-mail: [email protected]; [email protected]; [email protected]
Search for more papers by this authorCorresponding Author
Nianrong Sun
Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
Shanghai institute of liver diseases, Shanghai, 200032 China
E-mail: [email protected]; [email protected]; [email protected]
Search for more papers by this authorAbstract
The development of matrices has shown great potential for fluid metabolic analysis in disease detection. However, single-fluid metabolomic analysis has been recognized as insufficient to fully capture the complexities of diseases such as liver disease, which limits detection accuracy. To this end, the hollow dodecahedral nanocages-based analytical tool is developed, featuring four-high characteristics of speed, throughput, efficiency, and patient compliance, to enhance extraction of multifluid metabolic profiles. The cross-referencing of these profiles among different liver diseases, including hepatocellular carcinoma (HCC), chronic liver disease (CLD), and healthy controls, enhances the diagnosis of liver diseases, particularly achieving near-perfect discrimination for HCC with an AUC value of 0.990, significantly outperforming any single fluid analysis. Additionally, the dynamic changes in expression levels of the key biomarkers throughout disease progression are explored, providing insights into their temporal evolution, and highlighting their role in monitoring disease status. This work highlights that multifluid metabolic analysis can comprehensively and sensitively reflect the disease status, enabling precise identification of complex diseases and facilitating personalized treatment.
Conflict of Interest
The authors declare no conflict of interest.
Open Research
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Supporting Information
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| smll202410638-sup-0001-SupMat.pdf2.4 MB | Supporting Information |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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