Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery
Abstract Identification of therapeutic targets can directly elucidate the mechanism and effect of drug therapy, which is a central step in drug development. The disconnect between protein targets and phenotypes under complex mechanisms hampers comprehensive target understanding. Metabolomics, as a s...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | MedComm |
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| Online Access: | https://doi.org/10.1002/mco2.792 |
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| _version_ | 1846167435043930112 |
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| author | Shanshan Pan Luan Yin Jie Liu Jie Tong Zichuan Wang Jiahui Zhao Xuesong Liu Yong Chen Jing Miao Yuan Zhou Su Zeng Tengfei Xu |
| author_facet | Shanshan Pan Luan Yin Jie Liu Jie Tong Zichuan Wang Jiahui Zhao Xuesong Liu Yong Chen Jing Miao Yuan Zhou Su Zeng Tengfei Xu |
| author_sort | Shanshan Pan |
| collection | DOAJ |
| description | Abstract Identification of therapeutic targets can directly elucidate the mechanism and effect of drug therapy, which is a central step in drug development. The disconnect between protein targets and phenotypes under complex mechanisms hampers comprehensive target understanding. Metabolomics, as a systems biology tool that captures phenotypic changes induced by exogenous compounds, has emerged as a valuable approach for target identification. A comprehensive overview was provided in this review to illustrate the principles and advantages of metabolomics, delving into the application of metabolomics in target identification. This review outlines various metabolomics‐based methods, such as dose–response metabolomics, stable isotope‐resolved metabolomics, and multiomics, which identify key enzymes and metabolic pathways affected by exogenous substances through dose‐dependent metabolite–drug interactions. Emerging techniques, including single‐cell metabolomics, artificial intelligence, and mass spectrometry imaging, are also explored for their potential to enhance target discovery. The review emphasizes metabolomics' critical role in advancing our understanding of disease mechanisms and accelerating targeted drug development, while acknowledging current challenges in the field. |
| format | Article |
| id | doaj-art-118552e1b22746ceb95d94c4c8d0e69b |
| institution | Kabale University |
| issn | 2688-2663 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | MedComm |
| spelling | doaj-art-118552e1b22746ceb95d94c4c8d0e69b2024-11-14T16:14:36ZengWileyMedComm2688-26632024-11-01511n/an/a10.1002/mco2.792Metabolomics‐driven approaches for identifying therapeutic targets in drug discoveryShanshan Pan0Luan Yin1Jie Liu2Jie Tong3Zichuan Wang4Jiahui Zhao5Xuesong Liu6Yong Chen7Jing Miao8Yuan Zhou9Su Zeng10Tengfei Xu11Research Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaDepartment of Radiology and Biomedical Imaging PET Center Yale School of Medicine New Haven Connecticut USAResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaSchool of Basic Medical Sciences Zhejiang Chinese Medical University Hangzhou ChinaCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaCollege of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaSchool of Basic Medical Sciences Zhejiang Chinese Medical University Hangzhou ChinaResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaResearch Center for Clinical Pharmacy College of Pharmaceutical Sciences Zhejiang University Hangzhou Zhejiang ChinaAbstract Identification of therapeutic targets can directly elucidate the mechanism and effect of drug therapy, which is a central step in drug development. The disconnect between protein targets and phenotypes under complex mechanisms hampers comprehensive target understanding. Metabolomics, as a systems biology tool that captures phenotypic changes induced by exogenous compounds, has emerged as a valuable approach for target identification. A comprehensive overview was provided in this review to illustrate the principles and advantages of metabolomics, delving into the application of metabolomics in target identification. This review outlines various metabolomics‐based methods, such as dose–response metabolomics, stable isotope‐resolved metabolomics, and multiomics, which identify key enzymes and metabolic pathways affected by exogenous substances through dose‐dependent metabolite–drug interactions. Emerging techniques, including single‐cell metabolomics, artificial intelligence, and mass spectrometry imaging, are also explored for their potential to enhance target discovery. The review emphasizes metabolomics' critical role in advancing our understanding of disease mechanisms and accelerating targeted drug development, while acknowledging current challenges in the field.https://doi.org/10.1002/mco2.792artificial intelligencedrug developmentmetabolomicssingle‐cell metabolomicstarget identification |
| spellingShingle | Shanshan Pan Luan Yin Jie Liu Jie Tong Zichuan Wang Jiahui Zhao Xuesong Liu Yong Chen Jing Miao Yuan Zhou Su Zeng Tengfei Xu Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery MedComm artificial intelligence drug development metabolomics single‐cell metabolomics target identification |
| title | Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery |
| title_full | Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery |
| title_fullStr | Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery |
| title_full_unstemmed | Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery |
| title_short | Metabolomics‐driven approaches for identifying therapeutic targets in drug discovery |
| title_sort | metabolomics driven approaches for identifying therapeutic targets in drug discovery |
| topic | artificial intelligence drug development metabolomics single‐cell metabolomics target identification |
| url | https://doi.org/10.1002/mco2.792 |
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