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Wang Z, Guo S, Cai Y, Yang Q, Wang Y, Yu X, Sun W, Qiu S, Li X, Guo Y, Xie Y, Zhang A, Zheng S. Decoding active compounds and molecular targets of herbal medicine by high-throughput metabolomics technology: A systematic review. Bioorg Chem 2024; 144:107090. [PMID: 38218070 DOI: 10.1016/j.bioorg.2023.107090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 12/19/2023] [Accepted: 12/31/2023] [Indexed: 01/15/2024]
Abstract
Clinical experiences of herbal medicine (HM) have been used to treat a variety of human intractable diseases. As the treatment of diseases using HM is characterized by multi-components and multi-targets, it is difficult to determine the bio-active components, explore the molecular targets and reveal the mechanisms of action. Metabolomics is frequently used to characterize the effect of external disturbances on organisms because of its unique advantages on detecting changes in endogenous small-molecule metabolites. Its systematicity and integrity are consistent with the effective characteristics of HM. After HM intervention, metabolomics can accurately capture and describe the behavior of endogenous metabolites under the disturbance of functional compounds, which will be used to decode the bioactive ingredients of HM and expound the molecular targets. Metabolomics can provide an approach for explaining HM, addressing unclear clinical efficacy and undefined mechanisms of action. In this review, the metabolomics strategy and its applications in HM are systematically introduced, which offers valuable insights for metabolomics methods to characterizing the pharmacological effects and molecular targets of HM.
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Affiliation(s)
- Zhibo Wang
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China; Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China
| | - Sifan Guo
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China
| | - Ying Cai
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China; Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China
| | - Qiang Yang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China
| | - Yan Wang
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China
| | - Xiaodan Yu
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China
| | - Wanying Sun
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China
| | - Shi Qiu
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China.
| | - Xiancai Li
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Xingke Road 723, Guangzhou 510650, China.
| | - Yu Guo
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China.
| | - Yiqiang Xie
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China.
| | - Aihua Zhang
- Scientific Experiment Center, Hainan General Hospital, International Advanced Functional Omics Platform, International Joint Research Center on Traditional Chinese and Modern Medicine, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, Hainan Engineering Research Center for Biological Sample Resources of Major Diseases, Hainan Medical University, Xueyuan Road 3, Haikou 571199, China; Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
| | - Shaojiang Zheng
- Medical Research Center of The First Affiliated Hospital, Hainan Women and Children Medical Center, Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou 571199, China.
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Guo S, Qiu S, Cai Y, Wang Z, Yang Q, Tang S, Xie Y, Zhang A. Mass spectrometry-based metabolomics for discovering active ingredients and exploring action mechanism of herbal medicine. Front Chem 2023; 11:1142287. [PMID: 37065828 PMCID: PMC10102349 DOI: 10.3389/fchem.2023.1142287] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 03/20/2023] [Indexed: 04/03/2023] Open
Abstract
Natural products derived from herbal medicine are a fruitful source of lead compounds because of their structural diversity and potent bioactivities. However, despite the success of active compounds derived from herbal medicine in drug discovery, some approaches cannot effectively elucidate the overall effect and action mechanism due to their multi-component complexity. Fortunately, mass spectrometry-based metabolomics has been recognized as an effective strategy for revealing the effect and discovering active components, detailed molecular mechanisms, and multiple targets of natural products. Rapid identification of lead compounds and isolation of active components from natural products would facilitate new drug development. In this context, mass spectrometry-based metabolomics has established an integrated pharmacology framework for the discovery of bioactivity-correlated constituents, target identification, and the action mechanism of herbal medicine and natural products. High-throughput functional metabolomics techniques could be used to identify natural product structure, biological activity, efficacy mechanisms, and their mode of action on biological processes, assisting bioactive lead discovery, quality control, and accelerating discovery of novel drugs. These techniques are increasingly being developed in the era of big data and use scientific language to clarify the detailed action mechanism of herbal medicine. In this paper, the analytical characteristics and application fields of several commonly used mass spectrometers are introduced, and the application of mass spectrometry in the metabolomics of traditional Chinese medicines in recent years and its active components as well as mechanism of action are also discussed.
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Affiliation(s)
- Sifan Guo
- International Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China
- *Correspondence: Shi Qiu, ; Songqi Tang, ; Yiqiang Xie, ; Aihua Zhang,
| | - Ying Cai
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Zhibo Wang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Qiang Yang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China
- *Correspondence: Shi Qiu, ; Songqi Tang, ; Yiqiang Xie, ; Aihua Zhang,
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China
- *Correspondence: Shi Qiu, ; Songqi Tang, ; Yiqiang Xie, ; Aihua Zhang,
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center and Hainan General Hospital, College of Chinese Medicine, Hainan Medical University, Haikou, China
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
- *Correspondence: Shi Qiu, ; Songqi Tang, ; Yiqiang Xie, ; Aihua Zhang,
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Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S, Zhang A. Small molecule metabolites: discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther 2023; 8:132. [PMID: 36941259 PMCID: PMC10026263 DOI: 10.1038/s41392-023-01399-3] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/22/2023] Open
Abstract
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
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Affiliation(s)
- Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China
| | - Ying Cai
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Hong Yao
- First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China
| | - Chunsheng Lin
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, 150001, China
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
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