{"title":"基于多维特征网络的藏药诃子质量标记综合判别策略","authors":"Qian-Qian Li, Juan Chen","doi":"10.1002/pca.3463","DOIUrl":null,"url":null,"abstract":"<p><p>Chebulae Fructus (TCF) is a traditional Chinese medicine and Tibetan medicine with high medicinal value, but its quality control indicators still need clarification. In this study, a strategy was proposed to specify the quality markers (Q-markers) of TCF by constructing a multidimensional feature network that includes dimensions of effectiveness, content, traceability, and specificity. Network pharmacology analysis was performed to validate the effectiveness of the chemical constituents in TCF through creating a TCF-component-disease-target-pathway network. By combining fingerprints analysis with UPLC-QTOF-MS, 17 differential components were identified among 19 batches of TCF samples. Serum pharmacochemical analysis on rats identified seven prototype components absorbed into the blood. The scores for the four dimensions were calculated using these identified components as candidates, and a multidimensional feature network based on the \"spider-web\" model was constructed. Ultimately, chebulinic acid, ellagic acid, chebulagic acid, methyl gallate, gallic acid, chebulic acid, and trigalloylglucose were clarified as Q-markers of TCF. These Q-markers screened out in this study are closely linked to the efficacy of TCF and can serve as indicator components for quality control of TCF.</p>","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Integrative Strategy for Discriminating Quality Markers of Tibetan Medicine Chebulae Fructus Based on Multidimensional Feature Network.\",\"authors\":\"Qian-Qian Li, Juan Chen\",\"doi\":\"10.1002/pca.3463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Chebulae Fructus (TCF) is a traditional Chinese medicine and Tibetan medicine with high medicinal value, but its quality control indicators still need clarification. In this study, a strategy was proposed to specify the quality markers (Q-markers) of TCF by constructing a multidimensional feature network that includes dimensions of effectiveness, content, traceability, and specificity. Network pharmacology analysis was performed to validate the effectiveness of the chemical constituents in TCF through creating a TCF-component-disease-target-pathway network. By combining fingerprints analysis with UPLC-QTOF-MS, 17 differential components were identified among 19 batches of TCF samples. Serum pharmacochemical analysis on rats identified seven prototype components absorbed into the blood. The scores for the four dimensions were calculated using these identified components as candidates, and a multidimensional feature network based on the \\\"spider-web\\\" model was constructed. Ultimately, chebulinic acid, ellagic acid, chebulagic acid, methyl gallate, gallic acid, chebulic acid, and trigalloylglucose were clarified as Q-markers of TCF. These Q-markers screened out in this study are closely linked to the efficacy of TCF and can serve as indicator components for quality control of TCF.</p>\",\"PeriodicalId\":20095,\"journal\":{\"name\":\"Phytochemical Analysis\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Phytochemical Analysis\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1002/pca.3463\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytochemical Analysis","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/pca.3463","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
An Integrative Strategy for Discriminating Quality Markers of Tibetan Medicine Chebulae Fructus Based on Multidimensional Feature Network.
Chebulae Fructus (TCF) is a traditional Chinese medicine and Tibetan medicine with high medicinal value, but its quality control indicators still need clarification. In this study, a strategy was proposed to specify the quality markers (Q-markers) of TCF by constructing a multidimensional feature network that includes dimensions of effectiveness, content, traceability, and specificity. Network pharmacology analysis was performed to validate the effectiveness of the chemical constituents in TCF through creating a TCF-component-disease-target-pathway network. By combining fingerprints analysis with UPLC-QTOF-MS, 17 differential components were identified among 19 batches of TCF samples. Serum pharmacochemical analysis on rats identified seven prototype components absorbed into the blood. The scores for the four dimensions were calculated using these identified components as candidates, and a multidimensional feature network based on the "spider-web" model was constructed. Ultimately, chebulinic acid, ellagic acid, chebulagic acid, methyl gallate, gallic acid, chebulic acid, and trigalloylglucose were clarified as Q-markers of TCF. These Q-markers screened out in this study are closely linked to the efficacy of TCF and can serve as indicator components for quality control of TCF.
期刊介绍:
Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.