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1.
Zhongguo Zhong Yao Za Zhi ; 46(14): 3455-3464, 2021 Jul.
Article in Zh | MEDLINE | ID: mdl-34402267

ABSTRACT

Chinese materia medica( CMM) serves as an important cornerstone for the development of traditional Chinese medicine( TCM) culture and industry due to its unique ecological,medical,economic,scientific and technological,and cultural values. The supply shortage and unstable quality of some CMM resources have hindered the development of TCM. Ensuring the sustainable use of CMM resources has become essential for the development of TCM in China. Enriching CMM resources is the key to ensuring the sustainable utilization of TCM resources in China,which can be achieved via expanding the medicinal parts,developing the substitutes,seeking for analogues,exploring the ethnic and folk medicines,or introducing foreign medicinal materials. CMM efficacy or function positioning plays a very important role in the transformation of new CMM resources. The strategies and methods for efficacy or function positioning of new CMM resources,including analogy,plant genetic relationship exploration,medicinal property deduction,ethnobotanical investigation,text mining,network pharmacology,and structure-activity relationship exploration,were systematically proposed in this study based on CMM theory,textual research,and modern methodologies. This paper is expected to provide a theoretical reference for the continuous enrichment and development of CMM resources and the high-quality development of TCM culture and industry.


Subject(s)
Drugs, Chinese Herbal , Materia Medica , China , Data Mining , Drugs, Chinese Herbal/pharmacology , Humans , Medicine, Chinese Traditional
2.
Zhongguo Zhong Yao Za Zhi ; 44(5): 870-874, 2019 Mar.
Article in Zh | MEDLINE | ID: mdl-30989842

ABSTRACT

Homology of medicine and food is an important content in Chinese medicine and also works as the basis for guiding the development of compound health food containing Chinese materia medica. The top products,supplements,health care prescriptions,and medicinal meals in traditional herbal texts are the theoretical treasures of Chinese medicine compound health foods. With the implementation of the National Healthy China 2030,China's major health industry faces with tremendous opportunities. It is necessary to develop a batch of compound health food containing Chinese materia medica with Chinese medicine characteristics,in line with the needs of the country and society. Domestic research on compound health food containing Chinese materia medica mainly focuses on the extraction of functional components,preparation molding processes,quality standards,and efficacy evaluation. However,there are still some deficiencies in the related characteristics of traditional Chinese medicine(TCM) theory and function,evaluation criteria of efficacy and safety,new product R&D evaluation system and R&D platform. Based on a large number of previous studies by this laboratory,the views in nature,flavor and efficacy relationship were put forward in this paper. Based on the establishment of the Chinese medicine function-pharmacology-clinical application database system,the Chinese medicine compatibility database system,the Chinese medicine nature and flavor modern research database system,and the evaluation platform for animal models of Chinese medicine; the efficacy study,safety evaluation system,new product research and development evaluation system as well as research and development platform were established,providing a basis for the development and evaluation of compound health food containing Chinese materia medica. The modern scientific connotation of the core efficacy of compound health food containing Chinese materia medica was explained as well,helpful to promote the research and development of compound health food containing Chinese materia medica and play an important role in general health.


Subject(s)
Food , Materia Medica , Medicine, Chinese Traditional , China , Data Mining
3.
Zhongguo Zhong Yao Za Zhi ; 40(21): 4301-5, 2015 Nov.
Article in Zh | MEDLINE | ID: mdl-27071274

ABSTRACT

Based on the software of traditional Chinese medicine inheritance support system (TCMISS), this article aims to analyze the experience and composition rules for cough from the descendant of Meng He Medical School, Xu Di-hua. The cough cases treated by Xu Di-hua were collected, and recorded into TCMISS (V2.0). Data mining methods such as Apriori algorithm and complex system entropy cluster were used to analyze the medication principles of Xu Di-hua for cough from pathogenesis and therapeutie aspects, and dig out the frequency of the herbs in prescription, core medicine and new combinations. The experience of curing cough from Professor Xu Di-hua were well found in the research. He is good at choosing prescriptions accurately, and pays attention to simultaneous use of cold and moisture drugs with combination of tonification and purgation. He is skilled in adding or reducing materia medica flexibly, as well as regulating lung to relieve cough and eliminating phlegm by clearing heat.


Subject(s)
Cough/drug therapy , Drugs, Chinese Herbal/chemistry , Drugs, Chinese Herbal/therapeutic use , Algorithms , Data Mining , Drug Therapy, Combination , Female , Humans , Male , Materia Medica , Medicine, Chinese Traditional
4.
J Ethnopharmacol ; 335: 118633, 2024 Dec 05.
Article in English | MEDLINE | ID: mdl-39097209

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Historical texts on materia medica can be an attractive source of ethnopharmacological information. Various research groups have investigated corresponding resources from Europe and the Mediterranean region, pursuing different objectives. Regardless of the method used, the indexing of textual information and its conversion into data sets useful for further investigations represents a significant challenge. AIM OF THE STUDY: First, this study aims to systematically catalogue pharmaco-botanical information in the Receptarium of Burkhard von Hallwyl (RBH) in order to identify candidate plants in a targeted manner. Secondly, the potential of RBH as a resource for pharmacological investigations will be assessed by means of a preliminary in vitro screening. MATERIALS AND METHODS: We developed a relational database for the systematic recording of parameters composing the medical recipes contained in the historical text. Focusing on dermatological recipes, we explored the mentioned plants and their uses by drawing on specific literature. The botanical identities (candidate species) suggested in the literature for the historical plant names were rated based on their plausibility of being the correct attribution. The historical uses were interpreted by consulting medical-historical and modern clinical literature. For the subsequent in vitro screening, we selected candidate species used in recipes directed at the treatment of inflammatory or infectious skin disorders and wounds. Plants were collected in Switzerland and their hydroethanolic crude extracts tested for possible cytotoxic effects and for their potential to modulate the release of IL-6 and TNF in PS-stimulated whole blood and PBMCs. RESULTS: The historical text analysis points up the challenges associated with the assessment of historical plant names. Often two or more plant species are available as candidates for each of the 161 historical plant names counted in the 200 dermatological recipes in RBH. On the other hand, our method enabled to draw conclusions about the diseases underlying the 56 medical applications mentioned in the text. On this basis, 11 candidate species were selected for in vitro screening, four of which were used in RBH in herbal simple recipes and seven in a herbal compound formulation. None of the extracts tested showed a noteworthy effect on cell viability except for the sample of Sanicula europaea L. Extracts were tested at 50 µg/mL in the whole blood assay, where especially Vincetoxicum hirundinaria Medik. or Solanum nigrum L. showed inhibitory or stimulatory activities. In the PBMC assay, the root of Vincetoxicum hirundinaria revealed a distinct inhibitory effect on IL-6 release (IC50 of 3.6 µg/mL). CONCLUSIONS: Using the example of RBH, this study illustrates a possible ethnopharmacological path from unlocking the historical text and its subsequent analysis, through the selection and collection of plant candidates to their in vitro investigation. Fully documenting our approach to the analysis of historical texts, we hope to contribute to the discussion on solutions for the digital indexing of premodern information on the use of plants or other natural products.


Subject(s)
Data Mining , Plants, Medicinal , Humans , Switzerland , Data Mining/methods , Plants, Medicinal/chemistry , History, 16th Century , Materia Medica/history , Materia Medica/pharmacology , Medicine, Traditional/history , Medicine, Traditional/methods , Dermatology/history , Dermatology/methods , Phytotherapy/history
5.
mBio ; 11(1)2020 02 11.
Article in English | MEDLINE | ID: mdl-32047130

ABSTRACT

The pharmacopeia used by physicians and laypeople in medieval Europe has largely been dismissed as placebo or superstition. While we now recognize that some of the materia medica used by medieval physicians could have had useful biological properties, research in this area is limited by the labor-intensive process of searching and interpreting historical medical texts. Here, we demonstrate the potential power of turning medieval medical texts into contextualized electronic databases amenable to exploration by the use of an algorithm. We used established methodologies from network science to reveal patterns in ingredient selection and usage in a key text, the 15th-century Lylye of Medicynes, focusing on remedies to treat symptoms of microbial infection. In providing a worked example of data-driven textual analysis, we demonstrate the potential of this approach to encourage interdisciplinary collaboration and to shine a new light on the ethnopharmacology of historical medical texts.IMPORTANCE We used established methodologies from network science to identify patterns in medicinal ingredient combinations in a key medieval text, the 15th-century Lylye of Medicynes, focusing on recipes for topical treatments for symptoms of microbial infection. We conducted experiments screening the antimicrobial activity of selected ingredients. These experiments revealed interesting examples of ingredients that potentiated or interfered with each other's activity and that would be useful bases for future, more detailed experiments. Our results highlight (i) the potential to use methodologies from network science to analyze medieval data sets and detect patterns of ingredient combination, (ii) the potential of interdisciplinary collaboration to reveal different aspects of the ethnopharmacology of historical medical texts, and (iii) the potential development of novel therapeutics inspired by premodern remedies in a time of increased need for new antibiotics.


Subject(s)
Communicable Disease Control/methods , Communicable Diseases/history , Data Mining , Materia Medica/therapeutic use , Reference Books, Medical , Anti-Bacterial Agents/therapeutic use , Electronic Data Processing , Ethnopharmacology , History, Medieval , Humans
6.
J Integr Med ; 11(5): 352-65, 2013 Sep.
Article in English | MEDLINE | ID: mdl-24063783

ABSTRACT

Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine (TCM) researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better understanding of Chinese herbal property theory (CHPT), this paper performed an improved association rule learning to analyze semistructured text in the book entitled Shennong's Classic of Materia Medica. The text was firstly annotated and transformed to well-structured multidimensional data. Subsequently, an Apriori algorithm was employed for producing association rules after the sensitivity analysis of parameters. From the confirmed 120 resulting rules that described the intrinsic relationships between herbal property (qi, flavor and their combinations) and herbal efficacy, two novel fundamental principles underlying CHPT were acquired and further elucidated: (1) the many-to-one mapping of herbal efficacy to herbal property; (2) the nonrandom overlap between the related efficacy of qi and flavor. This work provided an innovative knowledge about CHPT, which would be helpful for its modern research.


Subject(s)
Data Mining , Drugs, Chinese Herbal , Materia Medica , Medicine, Chinese Traditional , Humans , Qi
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