Digital Chinese Medicine最新文献

{"title":"Potential targets and mechanisms of Guarana in the treatment of Alzheimer’s disease based on network pharmacology","authors":"J.I.A.O. Zhilin,&nbsp;G.A.O. Xuemei","doi":"10.1016/j.dcmed.2023.02.005","DOIUrl":"https://doi.org/10.1016/j.dcmed.2023.02.005","url":null,"abstract":"<div><h3>Objective</h3><p>To dig the main active components and predict potential mechanisms of Guarana in the treatment of Alzheimer’s disease (AD) by network pharmacology method and molecular docking.</p></div><div><h3>Methods</h3><p>By digging into papers relating to this topic, chemical components in Guarana were obtained and used for drug-likeness analysis. Databases including HERB and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) were used to obtain potential targets that the active components in Guarana might have effects on, and to find out diseases in association with the potential targets. Other databases such as GeneCards, a human gene database, and DisGeNET were used to identify the genes relating to AD, and a Wayne diagram was drawn to get the intersected targets in Guarana and AD. Subsequently, CytoScape software was adopted for the construction of a Guarana-intersected targets-AD map. After that, the intersected targets were uploaded to the Search Tool for the Retrieval of Interaction Gene/Proteins (STRING) database to acquire a protein-protein interaction (PPI) network diagram. Then, the key target proteins were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). In terms of molecular docking verification, AutoDock software was used to verify whether the crucial active compounds of Guarana’s components could bind to the key targets.</p></div><div><h3>Results</h3><p>A total of 140 potential targets for Guarana to treat AD were obtained. The results of PPI network analysis showed that interleukin 6 (IL-6), tumor necrosis factor (TNF), insulin (INS), mitogen-activated protein kinase 3 (MAPK3), transcription factor (JUN), cell tumor antigen p53 (TP53), caspase3 (CASP3), protein c-Fos (FOS), catalase (CAT), and Catenin beta-1 (CTNNB1) might be the key targets of Guarana in the treatment of AD. It was found by GO and KEGG analyses that the mechanism of Guarana in the treatment of AD might be the bindings between Guarana compounds and protease outside the cell membranes. The molecular docking results showed that the small molecules of various components in Guarana binding to target proteins such as TNF, IL-6, MAPK3, and FOS needed relatively less energy.</p></div><div><h3>Conclusion</h3><p>The treatment of AD with Guarana involves the participation of multiple targets, among which IL-6, TNF, and MAPK3 might be the key ones. These key targets might take effects through the biological process in their bindings to <em>β</em>-amyloid and involving signaling pathways in cancer. Hopefully, our research could offer some scientific foundations as well as references for in-depth studies on the treatment of AD with Guarana.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49753304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanism of Yishen Tonglong Decoction inhibiting TLR4/p38 MAPK/NF-κB signaling pathway against prostate cancer via upregulating miR-145-5p","authors":"T.U. Yaling ,&nbsp;L.I.U. Deguo ,&nbsp;Y.A.N.G. Xian ,&nbsp;L.I. Bo ,&nbsp;C.H.E.N. Qihua","doi":"10.1016/j.dcmed.2023.02.008","DOIUrl":"https://doi.org/10.1016/j.dcmed.2023.02.008","url":null,"abstract":"<div><h3>Objective</h3><p>To investigate the mechanism of Yishen Tonglong Decoction (益肾通癃汤, YSTLD) inhibiting the toll-like receptor 4/p38 mitogen activated protein kinases/nuclear factor kappa-B (TLR4/p38 MAPK/NF-<em>κ</em>B) signaling pathway against prostate cancer by up-regulating miR-145-5p.</p><p>Methods miRNA microarray technology was used to detect the changes of miRNA expression profile in prostate cancer PC-3 cells treated with YSTLD, and miRNAs with marked differences in miRNA microarray results were screened and validated by real-time polymerase chain reaction (qRT-PCR). Lentiviral transfection of miR-145-5p into prostate cancer PC-3 cells, Cell Counting Kit-8 (CCK8) assay, and scratch assay were adopted to detect the effects of miR-145-5p on prostate cancer PC-3 cell proliferation and migration. qRT-PCR and Western blot were employed to detect the effects of miR-145-5p on TLR4/p38 MAPK/NF-<em>κ</em>B signaling pathway and the expression levels of apoptosis-related genes caspase3, tumor necrosis factor-<em>α</em> (TNF-<em>α)</em>, Bax, and Bcl-2. qRT-PCR and Western blot were used to detect the effects of serum containing YSTLD on miR-145-5p, TLR4/p38 MAPK/NF-<em>κ</em>B signaling pathway, and the expression levels of apoptosis-related genes caspase3, TNF-<em>α</em>, Bax, and Bcl-2.</p></div><div><h3>Results</h3><p>The expression levels of 35 miRNAs in prostate cancer PC-3 cells treated with YSTLD were significantly different from those in the control group, with miR-145-5p being the most significantly different; qRT-PCR validation revealed that the miR-145-5p levels in prostate cancer PC-3 cells treated with YSTLD were significantly higher than those in the DMSO control group (<em>P</em> &lt; 0.05). After lentiviral transfection of miR-145-5p into prostate cancer PC-3 cells, miR-145-5p was found to inhibit the proliferation and migration of prostate cancer PC-3 cells. Overexpression of miR-145-5p up-regulated expression levels of caspase3, TNF-<em>α</em>, and Bax mRNA, and down-regulated expression levels of p38 MAPK, p65 NF-<em>κ</em>B, and Bcl-2 mRNA in prostate cancer PC-3 cells (<em>P</em> &lt; 0.05), while up-regulated caspase3 protein expression levels in prostate cancer PC-3 cells and down-regulated expression levels of TLR4, p38 MAPK, and p65 NF-<em>κ</em>B protein (<em>P</em> &lt; 0.05). Serum containing YSTLD could up-regulate the expression levels of caspase3, TNF-<em>α</em>, and Bax mRNA, and down-regulate the mRNA expression levels of p38 MAPK, p65 NF-<em>κ</em>B, Bcl-2, and TNF receptor-associated factor 1 (TRAF1) in prostate cancer PC-3 cells after intervening prostate cancer PC-3 cells (<em>P</em> &lt; 0.05). Simultaneously, it up-regulated the expression levels of caspase3 protein and down-regulated the protein expression levels of TLR4, p38 MARK, p65 NF-<em>κ</em>B, and TRAF1 in prostate cancer PC-3 cells (<em>P</em> &lt; 0.05).</p></div><div><h3>Conclusion</h3><p>YSTLD can promote apoptosis of prostate cancer PC-3 ","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49753255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven based four examinations in TCM: a survey","authors":"Dong SUI ,&nbsp;Lei ZHANG ,&nbsp;Fei YANG","doi":"10.1016/j.dcmed.2022.12.004","DOIUrl":"10.1016/j.dcmed.2022.12.004","url":null,"abstract":"<div><p>Traditional Chinese medicine (TCM) diagnosis is a unique disease diagnosis method with thousands of years of TCM theory and effective experience. Its thinking mode in the process is different from that of modern medicine, which includes the essence of TCM theory. From the perspective of clinical application, the four diagnostic methods of TCM, including inspection, auscultation and olfaction, inquiry, and palpation, have been widely accepted by TCM practitioners worldwide. With the rise of artificial intelligence (AI) over the past decades, AI based TCM diagnosis has also grown rapidly, marked by the emerging of a large number of data-driven deep learning models. In this paper, our aim is to simply but systematically review the development of the data-driven technologies applied to the four diagnostic approaches, i.e. the four examinations, in TCM, including data sets, digital signal acquisition devices, and learning based computational algorithms, to better analyze the development of AI-based TCM diagnosis, and provide references for new research and its applications in TCM settings in the future.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258937772200074X/pdfft?md5=c345c16ee8bea19cf5be7ef90f5bf9d0&pid=1-s2.0-S258937772200074X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76880294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction and application of knowledge graph of Treatise on Febrile Diseases","authors":"Dongbo LIU,&nbsp;Changfa WEI,&nbsp;Shuaishuai XIA,&nbsp;Junfeng YAN (Professor)","doi":"10.1016/j.dcmed.2022.12.006","DOIUrl":"10.1016/j.dcmed.2022.12.006","url":null,"abstract":"<div><h3>Objective</h3><p>To establish the knowledge graph of “disease-syndrome-symptom-method-formula” in <em>Treatise on Febrile Diseases</em> (<em>Shang Han Lun</em>,《伤寒论》) for reducing the fuzziness and uncertainty of data, and for laying a foundation for later knowledge reasoning and its application.</p></div><div><h3>Methods</h3><p>Under the guidance of experts in the classical formula of traditional Chinese medicine (TCM), the method of “top-down as the main, bottom-up as the auxiliary” was adopted to carry out knowledge extraction, knowledge fusion, and knowledge storage from the five aspects of the disease, syndrome, symptom, method, and formula for the original text of <em>Treatise on Febrile Diseases</em>, and so the knowledge graph of <em>Treatise on Febrile Diseases</em> was constructed. On this basis, the knowledge structure query and the knowledge relevance query were realized in a visual manner.</p></div><div><h3>Results</h3><p>The knowledge graph of “disease-syndrome-symptom-method-formula” in the <em>Treatise on Febrile Diseases</em> was constructed, containing 6 469 entities and 10 911 relational triples, on which the query of entities and their relationships can be carried out and the query result can be visualized.</p></div><div><h3>Conclusion</h3><p>The knowledge graph of <em>Treatise on Febrile Diseases</em> systematically realizes its digitization of the knowledge system, and improves the completeness and accuracy of the knowledge representation, and the connection between “disease-syndrome-symptom-treatment-formula”, which is conducive to the sharing and reuse of knowledge can be obtained in a clear and efficient way.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000763/pdfft?md5=91261aa686f2e423f9469f2132dc8715&pid=1-s2.0-S2589377722000763-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78353039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence and its application for cardiovascular diseases in Chinese medicine","authors":"Xiaotong CHEN,&nbsp;Yeuk-Lan Alice LEUNG,&nbsp;Jiangang SHEN","doi":"10.1016/j.dcmed.2022.12.003","DOIUrl":"10.1016/j.dcmed.2022.12.003","url":null,"abstract":"<div><p>Cardiovascular diseases (CVDs) are major disease burdens with high mortality worldwide. Early prediction of cardiovascular events can reduce the incidence of acute myocardial infarction and decrease the mortality rates of patients with CVDs. The pathological mechanisms and multiple factors involved in CVDs are complex; thus, traditional data analysis is insufficient and inefficient to manage multidimensional data for the risk prediction of CVDs and heart attacks, medical image interpretations, therapeutic decision-making, and disease prognosis prediction. Meanwhile, traditional Chinese medicine (TCM) has been widely used for treating CVDs. TCM offers unique theoretical and practical applications in the diagnosis and treatment of CVDs. Big data have been generated to investigate the scientific basis of TCM diagnostic methods. TCM formulae contain multiple herbal items. Elucidating the complicated interactions between the active compounds and network modulations requires advanced data-analysis capability. Recent progress in artificial intelligence (AI) technology has allowed these challenges to be resolved, which significantly facilitates the development of integrative diagnostic and therapeutic strategies for CVDs and the understanding of the therapeutic principles of TCM formulae. Herein, we briefly introduce the basic concept and current progress of AI and machine learning (ML) technology, and summarize the applications of advanced AI and ML for the diagnosis and treatment of CVDs. Furthermore, we review the progress of AI and ML technology for investigating the scientific basis of TCM diagnosis and treatment for CVDs. We expect the application of AI and ML technology to promote synergy between western medicine and TCM, which can then boost the development of integrative medicine for the diagnosis and treatment of CVDs.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000738/pdfft?md5=c8f689994d4e4f6bc35a89f7026aa36d&pid=1-s2.0-S2589377722000738-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73288084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation","authors":"Zhenchao CUI (Doctor) ,&nbsp;Shujie SONG ,&nbsp;Jing QI","doi":"10.1016/j.dcmed.2022.12.008","DOIUrl":"https://doi.org/10.1016/j.dcmed.2022.12.008","url":null,"abstract":"<div><h3>Objective</h3><p>For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation, a novel multi-level method based on the multi-scale fusion residual neural network (MF2ResU-Net) model is proposed.</p></div><div><h3>Methods</h3><p>To obtain refined features of retinal blood vessels, three cascade connected U-Net networks are employed. To deal with the problem of difference between the parts of encoder and decoder, in MF2ResU-Net, shortcut connections are used to combine the encoder and decoder layers in the blocks. To refine the feature of segmentation, atrous spatial pyramid pooling (ASPP) is embedded to achieve multi-scale features for the final segmentation networks.</p></div><div><h3>Results</h3><p>The MF2ResU-Net was superior to the existing methods on the criteria of sensitivity (Sen), specificity (Spe), accuracy (ACC), and area under curve (AUC), the values of which are 0.8013 and 0.8102, 0.9842 and 0.9809, 0.9700 and 0.9776, and 0.9797 and 0.9837, respectively for DRIVE and CHASE DB1. The results of experiments demonstrated the effectiveness and robustness of the model in the segmentation of complex curvature and small blood vessels.</p></div><div><h3>Conclusion</h3><p>Based on residual connections and multi-feature fusion, the proposed method can obtain accurate segmentation of retinal blood vessels by refining the segmentation features, which can provide another diagnosis method for computer-aided Chinese medical diagnosis.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000787/pdfft?md5=f88ad80ae7073e54744e528daa39b6a1&pid=1-s2.0-S2589377722000787-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136920858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on knowledge reasoning of TCM based on knowledge graphs","authors":"Zhiheng GUO ,&nbsp;Qingping LIU ,&nbsp;Beiji ZOU","doi":"10.1016/j.dcmed.2022.12.005","DOIUrl":"10.1016/j.dcmed.2022.12.005","url":null,"abstract":"<div><p>With the widespread use of Internet, the amount of data in the field of traditional Chinese medicine (TCM) is growing exponentially. Consequently, there is much attention on the collection of useful knowledge as well as its effective organization and expression. Knowledge graphs have thus emerged, and knowledge reasoning based on this tool has become one of the hot spots of research. This paper first presents a brief introduction to the development of knowledge graphs and knowledge reasoning, and explores the significance of knowledge reasoning. Secondly, the mainstream knowledge reasoning methods, including knowledge reasoning based on traditional rules, knowledge reasoning based on distributed feature representation, and knowledge reasoning based on neural networks are introduced. Then, using stroke as an example, the knowledge reasoning methods are expounded, the principles and characteristics of commonly used knowledge reasoning methods are summarized, and the research and applications of knowledge reasoning techniques in TCM in recent years are sorted out. Finally, we summarize the problems faced in the development of knowledge reasoning in TCM, and put forward the importance of constructing a knowledge reasoning model suitable for the field of TCM.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000751/pdfft?md5=c4033b4e272a4daca2cdf274b068a44b&pid=1-s2.0-S2589377722000751-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77783224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heterogeneous graph construction and node representation learning method of Treatise on Febrile Diseases based on graph convolutional network","authors":"Junfeng YAN ,&nbsp;Zhihua WEN ,&nbsp;Beiji ZOU (Professor)","doi":"10.1016/j.dcmed.2022.12.007","DOIUrl":"10.1016/j.dcmed.2022.12.007","url":null,"abstract":"<div><h3>Objective</h3><p>To construct symptom-formula-herb heterogeneous graphs structured <em>Treatise on Febrile Diseases</em> (<em>Shang Han Lun</em>,《伤寒论》) dataset and explore an optimal learning method represented with node attributes based on graph convolutional network (GCN).</p></div><div><h3>Methods</h3><p>Clauses that contain symptoms, formulas, and herbs were abstracted from <em>Treatise on Febrile Diseases</em> to construct symptom-formula-herb heterogeneous graphs, which were used to propose a node representation learning method based on GCN − the Traditional Chinese Medicine Graph Convolution Network (TCM-GCN). The symptom-formula, symptom-herb, and formula-herb heterogeneous graphs were processed with the TCM-GCN to realize high-order propagating message passing and neighbor aggregation to obtain new node representation attributes, and thus acquiring the nodes’ sum-aggregations of symptoms, formulas, and herbs to lay a foundation for the downstream tasks of the prediction models.</p></div><div><h3>Results</h3><p>Comparisons among the node representations with multi-hot encoding, non-fusion encoding, and fusion encoding showed that the Precision@10, Recall@10, and F1-score@10 of the fusion encoding were 9.77%, 6.65%, and 8.30%, respectively, higher than those of the non-fusion encoding in the prediction studies of the model.</p></div><div><h3>Conclusion</h3><p>Node representations by fusion encoding achieved comparatively ideal results, indicating the TCM-GCN is effective in realizing node-level representations of heterogeneous graph structured <em>Treatise on Febrile Diseases</em> dataset and is able to elevate the performance of the downstream tasks of the diagnosis model.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000775/pdfft?md5=8ecd78dc51ce1810a92a9f622e1dd362&pid=1-s2.0-S2589377722000775-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77119998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digitalization is a bridge for TCM striding towards information age","authors":"ZHOU Xiaoqing","doi":"10.1016/j.dcmed.2022.12.001","DOIUrl":"10.1016/j.dcmed.2022.12.001","url":null,"abstract":"","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000714/pdfft?md5=70908866a43bf2737c7dcb4c902c82b5&pid=1-s2.0-S2589377722000714-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82463780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantum theory-based physical model of the human body in TCM","authors":"Shuna SONG,&nbsp;Zhensu SHE","doi":"10.1016/j.dcmed.2022.12.002","DOIUrl":"10.1016/j.dcmed.2022.12.002","url":null,"abstract":"<div><p>In the study, a quantum resonant cavity model based on wave-particle duality was proposed for the explanation of the dynamic processes of essence, vigor, and spirit in the human body in traditional Chinese medicine (TCM). It is assumed that there is a macro human order parameter (wave function), and its dynamics are governed by a macro potential field reflecting influences from heaven, earth, and society, and satisfy the generalized Schrodinger equation. This proposed model was applied in the study to interpret basic concepts of human body in TCM, with an aim to unfold the TCM development in the future.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000726/pdfft?md5=9ee22cc2d11983ffb3e4afc98644d6d8&pid=1-s2.0-S2589377722000726-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76603135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}