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  1. Article ; Online: Ticagrelor regulates the differentiation of MDSCs after acute myocardial infarction to reduce cardiac injury.

    Huang, Zijian / Qian, Chenhuiyu / Zhang, Zekang / Nian, Wenjian / Xu, Qiancheng / Cao, Yuhan / Fu, Cong

    Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

    2024  Volume 172, Page(s) 116209

    Abstract: Myeloid-derived suppressor cells (MDSCs) are important participants after acute myocardial infarction (AMI), but the role of their different subtypes in AMI remains controversial. The anti-inflammatory effect of ticagrelor in AMI has been discovered. ... ...

    Abstract Myeloid-derived suppressor cells (MDSCs) are important participants after acute myocardial infarction (AMI), but the role of their different subtypes in AMI remains controversial. The anti-inflammatory effect of ticagrelor in AMI has been discovered. However, the detailed anti-inflammatory mechanism has not been fully demonstrated. In this study, we aimed to determine whether ticagrelor can regulate the differentiation of MDSCs into anti-inflammatory subgroups to exert anti-inflammatory effects after AMI. In vitro experiments revealed no difference in the mRNA and protein expression of P2Y12 receptors on MDSCs and macrophages. Ticagrelor promotes the differentiation of in vitro cultured MDSCs to monocytic-MDSCs (M-MDSCs). A mouse AMI model was established to investigate the anti-inflammatory effects of ticagrelor in vivo after AMI by interfering with the differentiation of MDSCs. On the first day after AMI, spleen-derived polymorphonuclear-MDSCs (PMN-MDSCs) were predominant in the circulation and infarcted heart. Ticagrelor increased the percentage of M-MDSCs in the circulation and infarcted heart of AMI mice in a dose-dependent manner, attenuated cardiac inflammation and increased cardiac contractile function. M-MDSC injection significantly decreased cardiac inflammation levels and improved cardiac function in splenectomized AMI mice compared with PMN-MDSC injection. These data point to a novel anti-inflammatory role for ticagrelor after AMI by interfering with the differentiation of MDSCs.
    MeSH term(s) Humans ; Animals ; Mice ; Ticagrelor/pharmacology ; Myeloid-Derived Suppressor Cells ; Myocardial Infarction/drug therapy ; Heart Injuries ; Disease Models, Animal ; Anti-Inflammatory Agents ; Inflammation
    Chemical Substances Ticagrelor (GLH0314RVC) ; Anti-Inflammatory Agents
    Language English
    Publishing date 2024-02-02
    Publishing country France
    Document type Journal Article
    ZDB-ID 392415-4
    ISSN 1950-6007 ; 0753-3322 ; 0300-0893
    ISSN (online) 1950-6007
    ISSN 0753-3322 ; 0300-0893
    DOI 10.1016/j.biopha.2024.116209
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Mining Unseen Classes via Regional Objectness

    Zhang, Zekang / Gao, Guangyu / Fang, Zhiyuan / Jiao, Jianbo / Wei, Yunchao

    A Simple Baseline for Incremental Segmentation

    2022  

    Abstract: Incremental or continual learning has been extensively studied for image classification tasks to alleviate catastrophic forgetting, a phenomenon that earlier learned knowledge is forgotten when learning new concepts. For class incremental semantic ... ...

    Abstract Incremental or continual learning has been extensively studied for image classification tasks to alleviate catastrophic forgetting, a phenomenon that earlier learned knowledge is forgotten when learning new concepts. For class incremental semantic segmentation, such a phenomenon often becomes much worse due to the background shift, i.e., some concepts learned at previous stages are assigned to the background class at the current training stage, therefore, significantly reducing the performance of these old concepts. To address this issue, we propose a simple yet effective method in this paper, named Mining unseen Classes via Regional Objectness for Segmentation (MicroSeg). Our MicroSeg is based on the assumption that background regions with strong objectness possibly belong to those concepts in the historical or future stages. Therefore, to avoid forgetting old knowledge at the current training stage, our MicroSeg first splits the given image into hundreds of segment proposals with a proposal generator. Those segment proposals with strong objectness from the background are then clustered and assigned newly-defined labels during the optimization. In this way, the distribution characterizes of old concepts in the feature space could be better perceived, relieving the catastrophic forgetting caused by the background shift accordingly. Extensive experiments on Pascal VOC and ADE20K datasets show competitive results with state-of-the-art, well validating the effectiveness of the proposed MicroSeg.

    Comment: 10 pages, 5 figures
    Keywords Computer Science - Computer Vision and Pattern Recognition ; I.4.6
    Subject code 006
    Publishing date 2022-11-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: CoinSeg

    Zhang, Zekang / Gao, Guangyu / Jiao, Jianbo / Liu, Chi Harold / Wei, Yunchao

    Contrast Inter- and Intra- Class Representations for Incremental Segmentation

    2023  

    Abstract: Class incremental semantic segmentation aims to strike a balance between the model's stability and plasticity by maintaining old knowledge while adapting to new concepts. However, most state-of-the-art methods use the freeze strategy for stability, which ...

    Abstract Class incremental semantic segmentation aims to strike a balance between the model's stability and plasticity by maintaining old knowledge while adapting to new concepts. However, most state-of-the-art methods use the freeze strategy for stability, which compromises the model's plasticity.In contrast, releasing parameter training for plasticity could lead to the best performance for all categories, but this requires discriminative feature representation.Therefore, we prioritize the model's plasticity and propose the Contrast inter- and intra-class representations for Incremental Segmentation (CoinSeg), which pursues discriminative representations for flexible parameter tuning. Inspired by the Gaussian mixture model that samples from a mixture of Gaussian distributions, CoinSeg emphasizes intra-class diversity with multiple contrastive representation centroids. Specifically, we use mask proposals to identify regions with strong objectness that are likely to be diverse instances/centroids of a category. These mask proposals are then used for contrastive representations to reinforce intra-class diversity. Meanwhile, to avoid bias from intra-class diversity, we also apply category-level pseudo-labels to enhance category-level consistency and inter-category diversity. Additionally, CoinSeg ensures the model's stability and alleviates forgetting through a specific flexible tuning strategy. We validate CoinSeg on Pascal VOC 2012 and ADE20K datasets with multiple incremental scenarios and achieve superior results compared to previous state-of-the-art methods, especially in more challenging and realistic long-term scenarios. Code is available at https://github.com/zkzhang98/CoinSeg.

    Comment: Accepted by ICCV 2023
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-10-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: [Application progress on taste evaluation methods for oral preparations].

    Zhao, Yue-Ying / Wang, Chang-Hai / Zhang, Ze-Kang / Zhang, Qing / Liu, Xue-Chun / DU, Shou-Ying / Lu, Yang / Bai, Jie

    Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

    2022  Volume 47, Issue 2, Page(s) 358–366

    Abstract: Taste is an important factor affecting the medicinal properties of oral preparations and patient compliance with medication, and also an important evaluation index for oral preparation design and clinical application. How to characterize the taste ... ...

    Abstract Taste is an important factor affecting the medicinal properties of oral preparations and patient compliance with medication, and also an important evaluation index for oral preparation design and clinical application. How to characterize the taste objectively, accurately, simply, and efficiently is a bottleneck problem that restricts the taste design, development, and utilization of oral preparations. At present, the commonly used taste assessment methods for oral preparations are traditional human taste panel, electronic tongue, animal preference test, in vitro release study, and electrophysiological test. The traditional human taste panel is the first choice for taste evaluation, but it is limited by poor subjectivity and reproducibility. Therefore, despite some limitations, the other four taste assessment methods have been applied in the pharmaceutical industry as auxiliary methods. This study reviewed the detection principles, applicability, advantages, and disadvantages of the above methods to provide references for the taste correction research and taste assessment of oral preparations, improve patient compliance and the competitiveness of oral preparation products in the industry, and promote the development of oral preparation technologies.
    MeSH term(s) Administration, Oral ; Animals ; Electronic Nose ; Humans ; Pharmaceutical Preparations ; Reproducibility of Results ; Taste
    Chemical Substances Pharmaceutical Preparations
    Language Chinese
    Publishing date 2022-02-17
    Publishing country China
    Document type Journal Article
    ZDB-ID 1004649-5
    ISSN 1001-5302 ; 0254-0029
    ISSN 1001-5302 ; 0254-0029
    DOI 10.19540/j.cnki.cjcmm.20210902.602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Fe3O4 liposome for photothermal/chemo-synergistic inhibition of metastatic breast tumor

    Hu, Wenjun / Qi, Qi / Hu, Haiyan / Wang, Changhai / Zhang, Qing / Zhang, Zekang / Zhao, Yueying / Yu, Xianglong / Guo, Mingxue / Du, Shouying / Lu, Yang

    Colloids and surfaces. 2022 Feb. 05, v. 634

    2022  

    Abstract: Tumor metastasis is the main reason for the high mortality rate of breast cancer patients and lymph node metastasis is the primary means of tumor spreading. Liposomes loaded with bufalin (BF), a steroidal inhibitor of various inflammatory signaling ... ...

    Abstract Tumor metastasis is the main reason for the high mortality rate of breast cancer patients and lymph node metastasis is the primary means of tumor spreading. Liposomes loaded with bufalin (BF), a steroidal inhibitor of various inflammatory signaling pathways in cancer, and superparamagnetic Fe₃O₄ nanoparticles were developed to inhibit lymphatic metastasis in breast cancer. Fe₃O₄ functioned as both a magnetic targeting and photothermal agent. In vivo studies using a mouse model of lymph metastatic breast cancer demonstrated that BF-Fe₃O₄-L(liposomes), administered by iv injection, accumulated in sentinel lymph nodes (SLNs) with high efficiency under magnetic direction and exhibited significant photothermal character under near-infrared (NIR) light irradiation. The combination of targeted delivery, photothermal and chemotherapeutic properties resulted in a 91% tumor inhibition rate in SLNs compared with untreated (PBS) controls and 81% lower incidence of pulmonary metastases formation. These findings reveal the significant potential of BF- Fe₃O₄-Ls for delivering -targeted, chemo-photothermal therapy in the treatment of metastasic cancer.
    Keywords breast neoplasms ; irradiation ; lymph ; lymph nodes ; magnetism ; metastasis ; mice ; mortality ; photochemotherapy
    Language English
    Dates of publication 2022-0205
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1500517-3
    ISSN 0927-7757
    ISSN 0927-7757
    DOI 10.1016/j.colsurfa.2021.127921
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Network pharmacology-based prediction and verification of the active ingredients and potential targets of Huagan Decoction for reflux esophagitis

    Zhao, Yueying / Cao, Yanfeng / Yang, Xueying / Guo, Mingxue / Wang, Changhai / Zhang, Zekang / Zhang, Qing / Huang, Xingyue / Sun, Meng / Xi, Cheng / Tangthianchaichana, Jakkree / Bai, Jie / Du, Shouying / Lu, Yang

    Journal of ethnopharmacology. 2022 Nov. 15, v. 298

    2022  

    Abstract: Huagan Decoction (HGD), a famous traditional Chinese medicine (TCM) formula, has been widely used in the treatment of reflux esophagitis (RE). However, its effective compounds, potential targets and molecular mechanism remain unclear. To investigate ... ...

    Abstract Huagan Decoction (HGD), a famous traditional Chinese medicine (TCM) formula, has been widely used in the treatment of reflux esophagitis (RE). However, its effective compounds, potential targets and molecular mechanism remain unclear. To investigate effective compounds, potential targets and molecular mechanism of HGD against RE by using network pharmacology combined with in vitro validation, with the aims of observing the action of HGD and exploring new therapeutic strategies for RE treatment. Effective compounds and potential targets of HGD, as well as related genes of RE, were collected from public databases. Pharmacological clustering and Gene Ontology (GO) enrichment analysis were applied to find targets that involving in the anti-inflammatory module. The pathways were drawn using Cytoscape 3.8.0. Important ingredients, potential targets, and signaling pathways were determined through the construction of protein–protein interaction (PPI), GO and Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequently, cell experiments were carried out. A total of 54 active ingredients and 240 RE-related gene targets of HGD were identified. The active compound-target network was visualized and pharmacological clustering further sorted 53 proteins that involve in the regulation of inflammatory responses. GO analysis confirmed the classification was statistically significant. Analysis of compound-target network revealed that quercetin and geniposide may be key ingredients for the anti-inflammatory effect of HGD against RE. The potential targets regulated by HGD are IL-6, IL-1β, PTGS2, AKT1, TNF-α, MAPK1, IL-8, IL-10, CCL2 and MAPK3. In vitro experiment showed that quercetin and geniposide could inhibit the inflammatory response of HET-1A cells through p38MAPK/NF-κB signaling pathway, which was consistent with the prediction by the network pharmacology approach. Geniposide and quercetin could be effective therapeutic ingredients for the HGD against RE. They play anti-inflammatory effects via down-regulating the pro-inflammatory cytokines and the conduction of p38MAPK/NF-κB signal. This research provides a comprehensive study on the active components, potential targets, and molecular mechanisms of HGD against RE. Moreover, the study supplies a feasible approach to reveal the mechanisms of TCM formula.
    Keywords Oriental traditional medicine ; anti-inflammatory activity ; esophageal diseases ; gene ontology ; genes ; inflammation ; interleukin-10 ; interleukin-6 ; interleukin-8 ; prediction ; protein-protein interactions ; quercetin ; therapeutics
    Language English
    Dates of publication 2022-1115
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 134511-4
    ISSN 1872-7573 ; 0378-8741
    ISSN (online) 1872-7573
    ISSN 0378-8741
    DOI 10.1016/j.jep.2022.115629
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: [Quality value transfer of substance benchmarks in Sanpian Decoction].

    Liu, Xue-Chun / Mo, Yu-Jia / Zhang, Qing / Hu, Wen-Jun / Shen, Ruo-Nan / Zhao, Yue-Ying / Zhang, Ze-Kang / Wang, Chang-Hai / Huang, Xing-Yue / Lu, Yang / Bai, Jie

    Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

    2022  Volume 47, Issue 8, Page(s) 2099–2108

    Abstract: According to the polarity of different components in Sanpian Decoction, two fingerprints were established. Then the substance benchmark freeze-dried powder of 15 batches of Sanpian Decoction was prepared, followed by the determination of the fingerprints, ...

    Abstract According to the polarity of different components in Sanpian Decoction, two fingerprints were established. Then the substance benchmark freeze-dried powder of 15 batches of Sanpian Decoction was prepared, followed by the determination of the fingerprints, index component content, and dry extract rates, the identification of attribution of characteristic peaks, and the calculation of similarities between these fingerprints and the reference(R), the content and transfer rate ranges of ferulic acid, sinapine thiocyanate, liquiritin, and glycyrrhizic acid, and the dry extract rate range. The results showed that the similarities of 15 batches of the substance benchmark fingerprints with R were all greater than 0.900.Further summarization of the characteristic peaks revealed that there were a total of 20 characteristic peaks in fingerprint 1, among which, eight were from Sinapis Semen, four from Paeoniae Radix Alba, six from Chuanxiong Rhizoma, and two from Glycyrrhizae Radix et Rhizoma. A total of 16 characteristic peaks were observed in fingerprint 2, including one from Sinapis Semen, three from Paeoniae Radix Alba, eight from Chuanxiong Rhizoma, and four from Glycyrrhizae Radix et Rhizoma. The average dry extract rate of 15 batches of substance benchmarks was 18.25%, with a dry extract rate range of 16.28%-20.76%. The index component content and transfer rate ranges were listed as follows: 0.15%-0.18% and 38.81%-58.05% for ferulic acid; 0.26%-0.42% and 36.51%-51.02% for sinapine thiocyanate; 0.09%-0.15% and 48.80%-76.61% for liquiritin; 0.13%-0.24% and 23.45%-35.61% for glycyrrhizic acid. The fingerprint, dry extract rate, and index component content determination was combined for analyzing the quality value transfer of substance benchmarks in the classic prescription Sanpian Decoction.The established quality evaluation method for the substance benchmarks was stable and feasible, which has provided a basis for the quality control of Sanpian Decoction and the follow-up development of related preparations.
    MeSH term(s) Benchmarking ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; Glycyrrhizic Acid/analysis ; Paeonia ; Quality Control ; Thiocyanates
    Chemical Substances Drugs, Chinese Herbal ; Thiocyanates ; Glycyrrhizic Acid (6FO62043WK)
    Language Chinese
    Publishing date 2022-03-05
    Publishing country China
    Document type Journal Article
    ZDB-ID 1004649-5
    ISSN 1001-5302 ; 0254-0029
    ISSN 1001-5302 ; 0254-0029
    DOI 10.19540/j.cnki.cjcmm.20210901.302
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Network pharmacology-based prediction and verification of the active ingredients and potential targets of Huagan Decoction for reflux esophagitis.

    Zhao, Yueying / Cao, Yanfeng / Yang, Xueying / Guo, Mingxue / Wang, Changhai / Zhang, Zekang / Zhang, Qing / Huang, Xingyue / Sun, Meng / Xi, Cheng / Tangthianchaichana, Jakkree / Bai, Jie / Du, Shouying / Lu, Yang

    Journal of ethnopharmacology

    2022  Volume 298, Page(s) 115629

    Abstract: Ethnopharmacological relevance: Huagan Decoction (HGD), a famous traditional Chinese medicine (TCM) formula, has been widely used in the treatment of reflux esophagitis (RE). However, its effective compounds, potential targets and molecular mechanism ... ...

    Abstract Ethnopharmacological relevance: Huagan Decoction (HGD), a famous traditional Chinese medicine (TCM) formula, has been widely used in the treatment of reflux esophagitis (RE). However, its effective compounds, potential targets and molecular mechanism remain unclear.
    Aim of the study: To investigate effective compounds, potential targets and molecular mechanism of HGD against RE by using network pharmacology combined with in vitro validation, with the aims of observing the action of HGD and exploring new therapeutic strategies for RE treatment.
    Materials and methods: Effective compounds and potential targets of HGD, as well as related genes of RE, were collected from public databases. Pharmacological clustering and Gene Ontology (GO) enrichment analysis were applied to find targets that involving in the anti-inflammatory module. The pathways were drawn using Cytoscape 3.8.0. Important ingredients, potential targets, and signaling pathways were determined through the construction of protein-protein interaction (PPI), GO and Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequently, cell experiments were carried out.
    Results: A total of 54 active ingredients and 240 RE-related gene targets of HGD were identified. The active compound-target network was visualized and pharmacological clustering further sorted 53 proteins that involve in the regulation of inflammatory responses. GO analysis confirmed the classification was statistically significant. Analysis of compound-target network revealed that quercetin and geniposide may be key ingredients for the anti-inflammatory effect of HGD against RE. The potential targets regulated by HGD are IL-6, IL-1β, PTGS2, AKT1, TNF-α, MAPK1, IL-8, IL-10, CCL2 and MAPK3. In vitro experiment showed that quercetin and geniposide could inhibit the inflammatory response of HET-1A cells through p38MAPK/NF-κB signaling pathway, which was consistent with the prediction by the network pharmacology approach.
    Conclusions: Geniposide and quercetin could be effective therapeutic ingredients for the HGD against RE. They play anti-inflammatory effects via down-regulating the pro-inflammatory cytokines and the conduction of p38MAPK/NF-κB signal. This research provides a comprehensive study on the active components, potential targets, and molecular mechanisms of HGD against RE. Moreover, the study supplies a feasible approach to reveal the mechanisms of TCM formula.
    MeSH term(s) Anti-Inflammatory Agents/pharmacology ; Anti-Inflammatory Agents/therapeutic use ; Drugs, Chinese Herbal/pharmacology ; Drugs, Chinese Herbal/therapeutic use ; Esophagitis, Peptic/drug therapy ; Humans ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; NF-kappa B ; Network Pharmacology ; Quercetin
    Chemical Substances Anti-Inflammatory Agents ; Drugs, Chinese Herbal ; NF-kappa B ; Quercetin (9IKM0I5T1E)
    Language English
    Publishing date 2022-08-18
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 134511-4
    ISSN 1872-7573 ; 0378-8741
    ISSN (online) 1872-7573
    ISSN 0378-8741
    DOI 10.1016/j.jep.2022.115629
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: [Analysis on quality value transmitting of substance benchmark of Houpo Wenzhong Decoction].

    Zhang, Qing / Luo, Ju-Yuan / Hu, Wen-Jun / Shen, Ruo-Nan / Liu, Xue-Chun / Zhao, Yue-Ying / Huang, Xing-Yue / Wang, Chang-Hai / Zhang, Ze-Kang / Lu, Yang / Han, Ning / Zhou, Wen-Yan

    Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

    2021  Volume 46, Issue 4, Page(s) 810–819

    Abstract: By preparing 15 batches of lyophilized powder samples of substance benchmark in Houpo Wenzhong Decoction,the fingerprint,index component content and extract rate were determined,and the characteristic peaks,the range of similarity with the reference map, ... ...

    Abstract By preparing 15 batches of lyophilized powder samples of substance benchmark in Houpo Wenzhong Decoction,the fingerprint,index component content and extract rate were determined,and the characteristic peaks,the range of similarity with the reference map,the content range and transfer rate range of magnolol,hesperidin,glycyrrhizic acid and pinocembrin,the extract rate range and the change range were clarified. The results showed that the similarity between the fingerprint of substance benchmark and the reference map R generated from the 15 batches of substance benchmark samples was higher than 0. 90. The assignment of the characteristic peaks in the full prescription's fingerprint of the herbs except Poria cocos was clarified. Nineteen characteristic peaks were assigned,and 12 characteristic peaks were assigned by the reference substance,of which 4 were from Magnolia ocinalis Cortex,5 from Exocarpium Citri Rubrum,2 from Radix aucklandiae,3 from Glycyrrhiza Radix et Rhizoma,4 from Semen Alpiniae Katsumadai,and one from Rhizoma Zingiberis and Zingiber officinale Roscoe. The index component content range and transfer rate range were 0. 80%-1. 14% and 20. 25%-39. 61% for hesperidin,0. 49%-0. 79% and 23. 09%-33. 87%for glycyrrhizic acid,0. 03%-0. 07% and 3. 55%-10. 09% for pinocembrin,0. 15%-0. 38% and 8. 08%-24. 35% for magnolol. The extract rate range and the change range were22. 60%-25. 57% and 12. 67%-23. 68% respectively. In this study,we introduced the concepts of index component content,fingerprint,extract rate,explored the transfer relation of quality value transmitting of substance benchmark in Houpo Wenzhong Decoction,and initially established the quality standard of Houpo Wenzhong Decoction,all of which would provide ideas for the development and research of similar prescriptions.
    MeSH term(s) Benchmarking ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; Glycyrrhiza ; Quality Control
    Chemical Substances Drugs, Chinese Herbal
    Language Chinese
    Publishing date 2021-03-01
    Publishing country China
    Document type Journal Article
    ZDB-ID 1004649-5
    ISSN 1001-5302 ; 0254-0029
    ISSN 1001-5302 ; 0254-0029
    DOI 10.19540/j.cnki.cjcmm.20201130.302
    Database MEDical Literature Analysis and Retrieval System OnLINE

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