{"title":"结合LC-MS和网络药理学揭示健康和腹泻小鼠黄连-木香对有效成分的代谢特征和定量分析。","authors":"Lujia Yang, Muyao Li, Xianglan Deng, Fang Deng, Chuanyang Zhang","doi":"10.1002/pca.70019","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Antibiotic-associated diarrhea (AAD) is a common side effect after the use of antibiotics, characterized by symptoms like diarrhea and abdominal pain. However, the active components and in vivo metabolism of the Coptidis Rhizoma-Aucklandiae Radix herb pair (CR-AR) in the treatment of AAD remain unclear.</p><p><strong>Objective: </strong>This study aimed to (1) investigate the prototype components, metabolites, and potential metabolic pathways of CR-AR in AAD mice and (2) compare the concentration of six active components between healthy and AAD mice.</p><p><strong>Materials and methods: </strong>AAD model mice received oral administration of the CR-AR extract. UPLC-Q-Exactive-Orbitrap-HRMS was used to analyze the prototype components and metabolites in serum, feces, and intestines of AAD mice. A prototype components-targets-pathways-AAD network was developed using network pharmacology to identify active components and effective targets of CR-AR in treating AAD, based on prototypes detected in serum, fecal, and intestinal samples. Additionally, a comparative analysis of the concentration of six active components was conducted between healthy and AAD mice using UPLC-QqQ-MS.</p><p><strong>Results: </strong>A total of 45 components were identified in the extract of CR-AR. Among them, 16 prototype compounds and 47 metabolites were identified, and potential metabolic pathways (including hydroxylation, demethylation, reduction, hydrolysis, hydrogenation, and glucuronidation) were proposed. Based on the 16 prototype components, six potentially active components (berberine, jatrorrhizine, palmatine, columbamine, epiberberine, and dehydrocostus lactone) were screened from the prototype components-targets-pathways-AAD disease network. Targeted quantitative analysis showed that alkaloid-based active components were significantly more concentrated in the intestines of AAD mice than in healthy mice after 6 h (p < 0.05).</p>","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":" ","pages":"2129-2147"},"PeriodicalIF":2.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated LC-MS and Network Pharmacology Reveal Metabolic Profile and Quantitative Analysis of Active Components in Coptidis Rhizoma-Aucklandiae Radix Herb Pair Between Healthy and Diarrheal Mice.\",\"authors\":\"Lujia Yang, Muyao Li, Xianglan Deng, Fang Deng, Chuanyang Zhang\",\"doi\":\"10.1002/pca.70019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Antibiotic-associated diarrhea (AAD) is a common side effect after the use of antibiotics, characterized by symptoms like diarrhea and abdominal pain. However, the active components and in vivo metabolism of the Coptidis Rhizoma-Aucklandiae Radix herb pair (CR-AR) in the treatment of AAD remain unclear.</p><p><strong>Objective: </strong>This study aimed to (1) investigate the prototype components, metabolites, and potential metabolic pathways of CR-AR in AAD mice and (2) compare the concentration of six active components between healthy and AAD mice.</p><p><strong>Materials and methods: </strong>AAD model mice received oral administration of the CR-AR extract. UPLC-Q-Exactive-Orbitrap-HRMS was used to analyze the prototype components and metabolites in serum, feces, and intestines of AAD mice. A prototype components-targets-pathways-AAD network was developed using network pharmacology to identify active components and effective targets of CR-AR in treating AAD, based on prototypes detected in serum, fecal, and intestinal samples. Additionally, a comparative analysis of the concentration of six active components was conducted between healthy and AAD mice using UPLC-QqQ-MS.</p><p><strong>Results: </strong>A total of 45 components were identified in the extract of CR-AR. Among them, 16 prototype compounds and 47 metabolites were identified, and potential metabolic pathways (including hydroxylation, demethylation, reduction, hydrolysis, hydrogenation, and glucuronidation) were proposed. Based on the 16 prototype components, six potentially active components (berberine, jatrorrhizine, palmatine, columbamine, epiberberine, and dehydrocostus lactone) were screened from the prototype components-targets-pathways-AAD disease network. Targeted quantitative analysis showed that alkaloid-based active components were significantly more concentrated in the intestines of AAD mice than in healthy mice after 6 h (p < 0.05).</p>\",\"PeriodicalId\":20095,\"journal\":{\"name\":\"Phytochemical Analysis\",\"volume\":\" \",\"pages\":\"2129-2147\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-10-01\",\"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.70019\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/30 0:00:00\",\"PubModel\":\"Epub\",\"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.70019","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Integrated LC-MS and Network Pharmacology Reveal Metabolic Profile and Quantitative Analysis of Active Components in Coptidis Rhizoma-Aucklandiae Radix Herb Pair Between Healthy and Diarrheal Mice.
Introduction: Antibiotic-associated diarrhea (AAD) is a common side effect after the use of antibiotics, characterized by symptoms like diarrhea and abdominal pain. However, the active components and in vivo metabolism of the Coptidis Rhizoma-Aucklandiae Radix herb pair (CR-AR) in the treatment of AAD remain unclear.
Objective: This study aimed to (1) investigate the prototype components, metabolites, and potential metabolic pathways of CR-AR in AAD mice and (2) compare the concentration of six active components between healthy and AAD mice.
Materials and methods: AAD model mice received oral administration of the CR-AR extract. UPLC-Q-Exactive-Orbitrap-HRMS was used to analyze the prototype components and metabolites in serum, feces, and intestines of AAD mice. A prototype components-targets-pathways-AAD network was developed using network pharmacology to identify active components and effective targets of CR-AR in treating AAD, based on prototypes detected in serum, fecal, and intestinal samples. Additionally, a comparative analysis of the concentration of six active components was conducted between healthy and AAD mice using UPLC-QqQ-MS.
Results: A total of 45 components were identified in the extract of CR-AR. Among them, 16 prototype compounds and 47 metabolites were identified, and potential metabolic pathways (including hydroxylation, demethylation, reduction, hydrolysis, hydrogenation, and glucuronidation) were proposed. Based on the 16 prototype components, six potentially active components (berberine, jatrorrhizine, palmatine, columbamine, epiberberine, and dehydrocostus lactone) were screened from the prototype components-targets-pathways-AAD disease network. Targeted quantitative analysis showed that alkaloid-based active components were significantly more concentrated in the intestines of AAD mice than in healthy mice after 6 h (p < 0.05).
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.
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