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  • Open Access

    ARTICLE

    A Multilayer Network Constructed for Herb and Prescription Efficacy Analysis

    Xindi Huang1, Liwei Liang1, Sakirin Tam2, Hao Liang3, Xiong Cai4, Changsong Ding1,5,*

    Computer Systems Science and Engineering, Vol.48, No.3, pp. 691-704, 2024, DOI:10.32604/csse.2022.029970 - 20 May 2024

    Abstract Chinese Medicine (CM) has been widely used as an important avenue for disease prevention and treatment in China especially in the form of CM prescriptions combining sets of herbs to address patients’ symptoms and syndromes. However, the selection and compatibility of herbs are complex and abstract due to intrinsic relationships between herbal properties and their overall functions. Network analysis is applied to demonstrate the complex relationships between individual herbal efficacy and the overall function of CM prescriptions. To illustrate their connections and correlations, prescription function (PF), prescription herb (PH), and herbal efficacy (HE) intra-networks are… More >

  • Open Access

    ARTICLE

    Application of Blockchain Sharding Technology in Chinese Medicine Traceability System

    Fuan Xiao1, Tong Lai1, Yutong Guan1, Jiaming Hong1, Honglai Zhang1, Guoyu Yang2, Zhengfei Wang1,*

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 35-48, 2023, DOI:10.32604/cmc.2023.038937 - 08 June 2023

    Abstract Traditional Chinese Medicine (TCM) is one of the most promising programs for disease prevention and treatment. Meanwhile, the quality of TCM has garnered much attention. To ensure the quality of TCM, many works are based on the blockchain scheme to design the traceability scheme of TCM to trace its origin. Although these schemes can ensure the integrity, sharability, credibility, and immutability of TCM more effectively, many problems are exposed with the rapid growth of TCM data in blockchains, such as expensive overhead, performance bottlenecks, and the traditional blockchain architecture is unsuitable for TCM data with… More >

  • Open Access

    ARTICLE

    A Prototype for Diagnosis of Psoriasis in Traditional Chinese Medicine

    Hai Long1, Zhe Wang1, Yidi Cui2,3, Junhui Wang4, Bo Gao5, Chao Chen5, Yan Zhu5,*, Heinrich Herre1

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5197-5217, 2022, DOI:10.32604/cmc.2022.029365 - 28 July 2022

    Abstract Psoriasis is a chronic, non-communicable, painful, disfiguring and disabling disease for which there is no cure, with great negative impact on patients’ quality of life (QoL). Diagnosis and treatment with traditional Chinese medical technique based on syndrome differentiation has been used in practice for a long time and proven effective, though, up to now, there are only a few available studies about the use of semantic technologies and the knowledge systems that use Traditional Chinese Medicine (TCM)-syndrome differentiation for information retrieval and automated reasoning. In this paper we use semantic techniques based on ontologies to… More >

  • Open Access

    ARTICLE

    Chinese Herbal Prescription QYSL Prevents Progression of Lung Cancer by Targeting Tumor Microenvironment

    Yang Chen1,#, Huan Wu2,#, Annan Jiao3, Jiabing Tong4, Jie Zhu5, Mei Zhang1, Zegeng Li4,*, Ping Li1,*

    Oncologie, Vol.24, No.2, pp. 295-307, 2022, DOI:10.32604/oncologie.2022.022116 - 29 June 2022

    Abstract Objectives: Lung cancer is a common and malignant tumor in adults and ranks first in the incidence and mortality of the top five malignant tumors in China. Our previous studies have shown that QYSL prescription can balance lung cancer mice Th1/Th2 and inhibit tumor cell immune escape. Here, we examined the effects of QYSL on lung cancer associated macrophage and the potential associated mechanism. Methods: C57BL/6 mice were injected with Lewis lung cancer cells and treated with QYSL. FACS, RT-PCR, and western blot were used to examined the effect of QYSL on tumor immune microenvironment. Results: We… More >

  • Open Access

    ARTICLE

    Metabolomics Analysis of Metabolites in Forsythia suspense Fruit Using UPLC/ESI-Q TRAP-MS/MS

    Lingdi Liu, Chunxiu Wen, Wei Tian, Xiaoliang Xie, Saiqun Wen, Tao Jiang*

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2313-2330, 2022, DOI:10.32604/phyton.2022.020295 - 30 May 2022

    Abstract Forsythiae Fructus, the fruit of Forsythia suspense is a traditional Chinese hebal medicine that has the antiviral and antioxidant effects in China. Modern analytical chemistry studies showed that the extracts of Forsythiae Fructus contain many bioactive components, such as flavonoids, lignans, phenolic acids, and terpenoids, which can be used to anti-inflammatory and treat toxicity, tonsillitis, ulcers, pharyngitis and acute nephritis. In order to study the types and quantities of metabolites in Forsythiae Fructus, we isolated, identified and analysed metabolites between two varieties of Forsythiae Fructus using UPLC/ESI-Q TRAP-MS/MS. The results showed that a total of 407… More >

  • Open Access

    ARTICLE

    Traditional Chinese Medicine Automated Diagnosis Based on Knowledge Graph Reasoning

    Dezheng Zhang1,2, Qi Jia1,2, Shibing Yang1,2, Xinliang Han2, Cong Xu3, Xin Liu1,4, Yonghong Xie1,2,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 159-170, 2022, DOI:10.32604/cmc.2022.017295 - 03 November 2021

    Abstract Syndrome differentiation is the core diagnosis method of Traditional Chinese Medicine (TCM). We propose a method that simulates syndrome differentiation through deductive reasoning on a knowledge graph to achieve automated diagnosis in TCM. We analyze the reasoning path patterns from symptom to syndromes on the knowledge graph. There are two kinds of path patterns in the knowledge graph: one-hop and two-hop. The one-hop path pattern maps the symptom to syndromes immediately. The two-hop path pattern maps the symptom to syndromes through the nature of disease, etiology, and pathomechanism to support the diagnostic reasoning. Considering the… More >

  • Open Access

    ARTICLE

    Mining Syndrome Differentiating Principles from Traditional Chinese Medicine Clinical Data

    Jialin Ma1,*, Zhaojun Wang2, Hai Guo3, Qian Xie1,4, Tao Wang4, Bolun Chen5

    Computer Systems Science and Engineering, Vol.40, No.3, pp. 979-993, 2022, DOI:10.32604/csse.2022.016759 - 24 September 2021

    Abstract Syndrome differentiation-based treatment is one of the key characteristics of Traditional Chinese Medicine (TCM). The process of syndrome differentiation is difficult and challenging due to its complexity, diversity and vagueness. Analyzing syndrome principles from historical records of TCM using data mining (DM) technology has been of high interest in recent years. Nevertheless, in most relevant studies, existing DM algorithms have been simply developed for TCM mining, while the combination of TCM theories or its characteristics with DM algorithms has rarely been reported. This paper presents a novel Symptom-Syndrome Topic Model (SSTM), which is a supervised probabilistic More >

  • Open Access

    ARTICLE

    Astragaloside IV improves melanocyte differentiation from mouse bone marrow mesenchymal stem cells

    XINGYU MEI, ZHOUWEI WU, CHENGZHONG ZHANG, YUE SUN, WEIMIN SHI*

    BIOCELL, Vol.45, No.6, pp. 1551-1559, 2021, DOI:10.32604/biocell.2021.015376 - 01 September 2021

    Abstract Vitiligo results in an autoimmune disorder destructing skin pigment cells, melanocytes (Mcs). This study aimed to investigate whether Astragaloside IV (AIV) could efficiently induce differentiation of bone marrow mesenchymal stem cells (BMMSCs) into Mcs. BMMSCs were induced and differentiated into Mcs with 0.1, 0.2, and 0.4 mg/L AIV during 150-day. Morphologic changes of differentiated cells were observed. Levels of some melanocytic specific genes (TRP-1, TRP-2, MART-1, Mitf) were measured with quantitative polymerase chain reaction (qPCR) at 90, 120, and 150 days of induction. After 90-day induction, the differentiated cells with 0.4 mg/L AIV demonstrated the typical morphology… More >

  • Open Access

    ARTICLE

    Morphology, Phylogeny and Culture Characteristics of Ganoderma gibbosum Collected from Kunming, Yunnan Province, China

    Thatsanee Luangharn1,2,3,4, Samantha C. Karunarathna1,3, Peter E. Mortimer1,4,*, Kevin D. Hyde3,5, Jianchu Xu1,3,4,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 743-764, 2020, DOI:10.32604/phyton.2020.09690 - 22 June 2020

    Abstract Ganoderma is a genus of medicinally and economically important mushrooms in the family Ganodermataceae. Ganoderma species are popular medicinal mushrooms and their health benefits are well-documented. Ganoderma is a cosmopolitan genus that is widely distributed in both tropical and temperate regions. This genus is characterized by its unique laccate or non-laccate species with double-walled basidiospores. Here, we report on eight collections of G. gibbosum collected during surveys in Kunming, Yunnan Province, China. The specimens are described and illustrated based on macro- and micro-morphological characteristics. Total DNA of the eight G. gibbosum strains were extracted using the Biospin Fungal More >

  • Open Access

    ARTICLE

    TTF1-NPs Induce ERS-Mediated Apoptosis and Inhibit Human Hepatoma Cell Growth In Vitro and In Vivo

    Bin Xiao*1, Chao Liu*†1, Bing-tong Liu*1, Xuan Zhang*, Rong-rong Liu*, Xue-Wu Zhang*

    Oncology Research, Vol.23, No.6, pp. 311-320, 2015, DOI:10.3727/096504016X14567549091341

    Abstract Previous studies have shown that 5,2',4'-trihydroxy-6,7,5'-trimethoxyflavone (TTF1) is the primary anticancer constituent of the traditional Chinese medicinal plant Sorbaria sorbifolia (SS), which has been applied to treat cancer in China. In this study, we investigated the in vitro and in vivo antitumor effects and biological mechanisms of small-molecule TTF1 nanoparticles (TTF1-NPs). The effects of TTF1-NPs on cell growth and apoptosis were investigated using human hepatoma cells. The molecular changes associated with the effects of TTF1-NPs were analyzed by immunocytochemistry and Western blot analysis. The in vivo effect of TTF1-NPs was investigated using the HepG2 tumor xenograft More >

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