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Zhang W, Zhang C, Cao L, Liang F, Xie W, Tao L, Chen C, Yang M, Zhong L. Application of digital-intelligence technology in the processing of Chinese materia medica. Front Pharmacol 2023; 14:1208055. [PMID: 37693890 PMCID: PMC10484343 DOI: 10.3389/fphar.2023.1208055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023] Open
Abstract
Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is the core of Chinese unique traditional pharmaceutical technology. The processing includes the preparation steps such as cleansing, cutting and stir-frying, to make certain impacts on the quality and efficacy of Chinese botanical drugs. The rapid development of new computer digital technologies, such as big data analysis, Internet of Things (IoT), blockchain and cloud computing artificial intelligence, has promoted the rapid development of traditional pharmaceutical manufacturing industry with digitalization and intellectualization. In this review, the application of digital intelligence technology in the PCMM was analyzed and discussed, which hopefully promoted the standardization of the process and secured the quality of botanical drugs decoction pieces. Through the intellectualization and the digitization of production, safety and effectiveness of clinical use of traditional Chinese medicine (TCM) decoction pieces were ensured. This review also provided a theoretical basis for further technical upgrading and high-quality development of TCM industry.
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Affiliation(s)
- Wanlong Zhang
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
| | - Changhua Zhang
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
- Nanchang Research Institute, Sun Yat-sen University, Nanchang, Jiangxi, China
| | - Lan Cao
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
| | - Fang Liang
- College of Physical Culture, Yuzhang Normal University, Nanchang, Jiangxi, China
| | - Weihua Xie
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
| | - Liang Tao
- Nanchang Research Institute, Sun Yat-sen University, Nanchang, Jiangxi, China
| | - Chen Chen
- School of Biomedical Sciences, University of Queensland, Brisbane, QLD, Australia
| | - Ming Yang
- Key Laboratory of Modern Chinese Medicine Preparation of Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
| | - Lingyun Zhong
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
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Zhang W, Zhang C, Cao L, Liang F, Xie W, Tao L, Chen C, Yang M, Zhong L. Application of digital-intelligence technology in the processing of Chinese materia medica. Front Pharmacol 2023; 14. [DOI: https:/doi.org/10.3389/fphar.2023.1208055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2024] Open
Abstract
Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is the core of Chinese unique traditional pharmaceutical technology. The processing includes the preparation steps such as cleansing, cutting and stir-frying, to make certain impacts on the quality and efficacy of Chinese botanical drugs. The rapid development of new computer digital technologies, such as big data analysis, Internet of Things (IoT), blockchain and cloud computing artificial intelligence, has promoted the rapid development of traditional pharmaceutical manufacturing industry with digitalization and intellectualization. In this review, the application of digital intelligence technology in the PCMM was analyzed and discussed, which hopefully promoted the standardization of the process and secured the quality of botanical drugs decoction pieces. Through the intellectualization and the digitization of production, safety and effectiveness of clinical use of traditional Chinese medicine (TCM) decoction pieces were ensured. This review also provided a theoretical basis for further technical upgrading and high-quality development of TCM industry.
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Du Z, Wang H, Li X, Dong M, Chi B, Tian Z, Wang Z, Jiang H. Rapid screening and characterization of 2-(2-phenylethyl)chromones in agarwood by UHPLC-Q-Exactive Orbitrap-MS. Food Chem 2023; 424:136400. [PMID: 37236079 DOI: 10.1016/j.foodchem.2023.136400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 05/10/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023]
Abstract
The purpose of this study is to develop an improved comprehensive data filtering strategy, which was implemented primarily through the Microsoft Office platform's Excel software for rapid screening of potential 2-(2-phenylethyl)chromone (PEC) monomers and their dimers (PEC dimers) obtained from agarwood. A total of 108 PEC monomers and 30 PEC dimers in agarwood were characterized. In conclusion, the results obtained in this work could provide useful information for the future utilization of agarwood. In particular, it is the first time to conduct an in-depth analysis of the MS/MS fragmentation behavior of a large number of PEC monomers and PEC dimers, including the identification of substituent positions of them. The proposed data filtering strategy could improve the comprehensive characterization efficiency of complex components in spices.
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Affiliation(s)
- Zhen Du
- Innovation Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Huanjun Wang
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Xueling Li
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Meiyue Dong
- Innovation Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Bingqing Chi
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Zhenhua Tian
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
| | - Zhenguo Wang
- Shandong Provincial Key Laboratory of Traditional Chinese Medicine for Basic Research, Jinan 250355, China; State Key Laboratory, State Ministry of Education Key Laboratory, Jinan 250355, China.
| | - Haiqiang Jiang
- Innovation Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China; Shandong Provincial Key Laboratory of Traditional Chinese Medicine for Basic Research, Jinan 250355, China; Shandong Province Cardiovascular Disease TCM Precision Treatment Engineering Laboratory, China.
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Tian Y, Ma B, Liu C, Zhao X, Yu S, Li Y, Tian S, Pei H, Wang Z, Zuo Z, Wang Z. Integrated Solid-Phase Extraction, Ultra-High-Performance Liquid Chromatography-Quadrupole-Orbitrap High-Resolution Mass Spectrometry, and Multidimensional Data-Mining Techniques to Unravel the Metabolic Network of Dehydrocostus Lactone in Rats. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27227688. [PMID: 36431789 PMCID: PMC9696973 DOI: 10.3390/molecules27227688] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 11/10/2022]
Abstract
Dehydrocostus lactone (DL) is among the representative ingredients of traditional Chinese medicine (TCM), with excellent anticancer, antibacterial, and anti-inflammatory activities. In this study, an advanced strategy based on ultra-high-performance liquid chromatography-quadrupole-Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) was integrated to comprehensively explore the metabolic fate of DL in rats. First, prior to data collection, all biological samples (plasma, urine, and feces) were concentrated and purified using solid-phase extraction (SPE) pre-treatment technology. Then, during data collection, in the full-scan (FS) data-dependent acquisition mode, FS-ddMS2 was intelligently combined with FS-parent ion list (PIL)-dynamic exclusion (DE) means for targeted monitoring and deeper capture of more low-abundance ions of interest. After data acquisition, data-mining techniques such as high-resolution extracted ion chromatograms (HREICs), multiple mass defect filters (MMDFs), diagnostic product ions (DPIs), and neutral loss fragments (NLFs) were incorporated to extensively screen and profile all the metabolites in multiple dimensions. As a result, a total of 71 metabolites of DL (parent drug included) were positively or tentatively identified. The results suggested that DL in vivo mainly underwent hydration, hydroxylation, dihydrodiolation, sulfonation, methylation, dehydrogenation, dehydration, N-acetylcysteine conjugation, cysteine conjugation, glutathione conjugation, glycine conjugation, taurine conjugation, etc. With these inferences, we successfully mapped the "stepwise radiation" metabolic network of DL in rats, where several drug metabolism clusters (DMCs) were discovered. In conclusion, not only did we provide a refined strategy for inhibiting matrix effects and fully screening major-to-trace metabolites, but also give substantial data reference for mechanism investigation, in vivo distribution visualization, and safety evaluation of DL.
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Affiliation(s)
- Yingying Tian
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Beibei Ma
- Research Institute of Beijing Tongrentang Co., Ltd., Beijing 100079, China
| | - Chuang Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Xinyue Zhao
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Shangyue Yu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Yilin Li
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Shiqiu Tian
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Hailuan Pei
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Zijian Wang
- Research Institute of Beijing Tongrentang Co., Ltd., Beijing 100079, China
| | - Zeping Zuo
- Research Institute of Beijing Tongrentang Co., Ltd., Beijing 100079, China
- Correspondence: (Z.Z.); (Z.W.)
| | - Zhibin Wang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
- Research Institute of Beijing Tongrentang Co., Ltd., Beijing 100079, China
- Correspondence: (Z.Z.); (Z.W.)
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