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Zuo X, Li P, Ren G, Bai Z, Jiang D, Liu C. Functional Characterization of β-Glucuronidase Genes Involved in Baicalein Biosynthesis from Scutellaria baicalensis Based on Transcriptome Analysis. Int J Mol Sci 2025; 26:1793. [PMID: 40076421 PMCID: PMC11898752 DOI: 10.3390/ijms26051793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2025] [Revised: 02/11/2025] [Accepted: 02/16/2025] [Indexed: 03/14/2025] Open
Abstract
Baicalein is a unique flavonoid compound with important pharmacological activities, derived from Scutellaria baicalensis Georgi. Baicalein, as the aglycone of baicalin, is a key form for exerting pharmacological activity in vivo. β-glucuronidases (GUSs) are the enzymes involved in the conversion of baicalin to baicalein. In this study, the content of baicalein in S. baicalensis was significantly increased by 20.44% after treatment with 5% PEG6000. Seven GUSs from the glycoside hydrolase 79 family were identified through comparative transcriptome analysis. Among them, GUS1 and GUS2 were confirmed to have catalytic activity in converting baicalin to baicalein in prokaryotic and eukaryotic systems. The correlation analysis further revealed a significant positive correlation of 0.962 (p < 0.01) between the expression of GUS2 and baicalein content in six different sources of S. baicalensis. Interestingly, the presence of variable sites in the GUS1 and GUS2 genes significantly affected their catalytic efficiency in the S. baicalensis samples from the six geographic origins. These findings also provide valuable GUS biological enzyme resources for the effective synthesis of baicalein and offer new insights into the accumulation pattern of baicalein in S. baicalensis.
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Affiliation(s)
| | | | | | | | - Dan Jiang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Chunsheng Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
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Guan H, Wang Q, Mei Y, Ran J, Zeng F, Cai H, Wang D, Yang S, Zhang M, Shi Y, Liao S, Li P. A multistep approach for exploring quality markers of Shengjiang Xiexin decoction by integrating plasma pharmacochemistry-pharmacokinetics-pharmacology. J Pharm Biomed Anal 2024; 241:115999. [PMID: 38306867 DOI: 10.1016/j.jpba.2024.115999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/08/2024] [Accepted: 01/21/2024] [Indexed: 02/04/2024]
Abstract
Shengjiang Xiexin decoction (SXD), a well-known traditional Chinese medicine (TCM), was used to alleviate delayed-onset diarrhea induced by the chemotherapeutic agent irinotecan (CPT-11). Our previous study showed that SXD regulated multidrug resistance-associated protein 2 (Mrp-2) to alter the pharmacokinetics of CPT-11 and its metabolites. However, the pharmacodynamic constituents and the related quality markers of SXD are unclear. In this study, ultra-high performance liquid chromatography coupled with quadrupole orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) was utilized to identify the prototypes and metabolites in rat plasma after oral administration of SXD. The pharmacokinetic markers (PK markers) were screened through quantification and semiquantification of SXD-related xenobiotics in plasma using liquid chromatography-mass spectrometry (LC-MS) combined with statistical analysis. Computational molecular docking was performed to assess the potential binding ability of the PK markers with the target Mrp-2. The results were verified by evaluating the impact on Mrp-2 function using Caco-2 cells. The quality markers were chosen from these PK markers based on the binding affinities with Mrp-2, the specificity and the traceability. As a result, a total of 142 SXD-related exogenous components, including 77 prototypes and 65 metabolites, were detected in rat plasma. Among these, 83 xenobiotics were selected as PK markers due to their satisfactory pharmacokinetic behaviors. Based on the characteristics of quality markers, the prototype-based PK markers were considered the indices of quality control for SXD, including baicalin, baicalein, wogonoside, wogonin, liquiritigenin, isoliquiritigenin, norwogonin, oroxylin A, dihydrobaicalin, chrysin, glycyrrhizic acid, glycyrrhetinic acid, oroxylin A 7-O-glucuronide, liquiritin and isoliquiritin. This study provided an interesting strategy for screening the quality markers involved in the pharmacokinetics of SXD and its action target, which offered important information for the modernization of SXD and other TCM formulae.
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Affiliation(s)
- Huanyu Guan
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Qian Wang
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Yao Mei
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Junyan Ran
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Fanli Zeng
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Haimin Cai
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Daoping Wang
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Shenggang Yang
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Min Zhang
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China
| | - Yue Shi
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
| | - Shanggao Liao
- State Key Laboratory of Functions and Applications of Medicinal Plants & School of Pharmacy, Guizhou Medical University, Guiyang 550025, Guizhou, China.
| | - Pengfei Li
- National Institute of Drug Clinical Trial, Guizhou Provincial People's Hospital, Guiyang 550002, Guizhou, China.
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Mukai R, Hata N. Tissue distribution and pharmacokinetics of isoxanthohumol from hops in rodents. Food Sci Nutr 2024; 12:2210-2219. [PMID: 38455172 PMCID: PMC10916623 DOI: 10.1002/fsn3.3900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 11/03/2023] [Accepted: 12/04/2023] [Indexed: 03/09/2024] Open
Abstract
Vegetables and fruits contain prenylflavonoids with biological functions that might improve human health. The prenylflavonoid isoxanthohumol (IXA) and its derivative, 8-prenylnaringenin (8-PN), have beneficial activities, including anti-cancer effects and suppression of insulin resistance. However, their pharmacokinetic profile is unclear. Previous studies suggested flavonoids have low systemic availability and are excreted via the feces. Therefore, this study investigated the tissue distribution dynamics of high-purity IXA (>90%) from hops administered orally, either singly (50 mg/kg body weight [BW]) or daily for 14 days (30 mg/kg BW), to mice. High-pressure liquid chromatography demonstrated that IXA was absorbed rapidly after a single administration and reached plasma maximum concentration (C max) (3.95 ± 0.81 μmol/L) by 0.5 h. IXA was present at high levels in the liver compared with the kidney, pancreas, lung, skeletal muscle, spleen, thymus, and heart. The highest IXA level after 14 days of IXA ingestion was observed in the liver, followed by the kidney, thymus, spleen, lung, and brain. There was no significant difference in IXA accumulation in tissues between the single and multiple dose groups. Analyses of the livers of rats treated with different concentrations of IXA (112.5-1500 mg/kg BW) once a day for 28 days demonstrated that IXA accumulated dose-dependently with a correlation coefficient of .813. The accumulation of 8-PN was dependent on the intake period but not the intake amount of IXA (correlation coefficient -.255). In summary, IXA and 8-PN were detected in tissues and organs up to 24 h after ingestion, suggesting that orally ingested IXA might have health benefits as a nutraceutical.
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Affiliation(s)
- Rie Mukai
- Department of Food Science, Graduate School of Technology, Industrial and Social SciencesTokushima UniversityTokushimaJapan
| | - Natsumi Hata
- Department of Food Science, Graduate School of Technology, Industrial and Social SciencesTokushima UniversityTokushimaJapan
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Fan Y, Ni Y, Cheng M, Guo W, Gao H, Hu W, Shu C, Ding L. The metabolite profiling of YR-1702 injection in human plasma, urine and feces by HPLC-Q-TOF-MS/MS. Xenobiotica 2023; 53:536-546. [PMID: 37850428 DOI: 10.1080/00498254.2023.2272193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/14/2023] [Indexed: 10/19/2023]
Abstract
YR-1702, a hybrid μ/κ/δ receptor agonist, is modified from the traditional opioid analgesic dezocine. It had shown both excellent analgesic effect and lower addiction in phase I clinical trial in China, however, the metabolic pathway of YR-1702 in humans remains unelucidated.The goals of this study are to characterise the metabolism of YR-1702 in human liver microsomes (HLMs) and patients with chronic non-cancer pain by high performance liquid chromatography-coupled with quadrupole-time-of-flight mass spectrometry (HPLC-Q-TOF-MS/MS).The results showed that a total of twelve metabolites were identified in HLMs, in which 7, 6 and 5 metabolites were also found in human plasma, urine and feces, respectively. And the major metabolic pathways include mono-hydroxylation, di-hydroxylation, dehydrogenation and glucuronidation. The locations of hydroxylation and dehydrogenation were identified by the signature fragments of the metabolites.The relative contents of the metabolites in human plasma were also evaluated, in which the main metabolite M1 notably accounting for more than 14% of the total drug exposure. This study would contribute to the understanding of the in vivo metabolite profile of YR-1702 injection for future use.
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Affiliation(s)
- Yuxuan Fan
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
| | - Yufeng Ni
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
- Yangtze River Pharmaceutical Group Co., Ltd, Taizhou, China
| | - Minlu Cheng
- Nanjing Clinical Tech Laboratories Inc, Nanjing, China
| | - Wenjing Guo
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
| | - Huaye Gao
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
| | - WenHui Hu
- Nanjing Jiening Pharmaceutical Technology Co., Ltd, Nanjing, China
| | - Chang Shu
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
| | - Li Ding
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China
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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: 293] [Impact Index Per Article: 146.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [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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