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  • Open Access


    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

    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


    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

    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


    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

    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


    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

    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


    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

    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


    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

    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


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


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

    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 >

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