Digital Chinese Medicine最新文献

{"title":"Evaluating the in vitro anti-diabetic activity of Bryonia dioica root extracts supported by molecular docking analysis","authors":"Fekhikher Zohra ,&nbsp;Benariba Nabila ,&nbsp;Radia Brixi Gormat ,&nbsp;Hassain Reda ,&nbsp;Abdelli Imen ,&nbsp;Z. Sekkal Fatima ,&nbsp;Kachekouche Youssouf ,&nbsp;Taibi Warda ,&nbsp;Brikci Sohayb Bekkal ,&nbsp;Terki Mohammed ,&nbsp;Benramdane Hanane ,&nbsp;Adjdir Sara","doi":"10.1016/j.dcmed.2025.05.008","DOIUrl":"10.1016/j.dcmed.2025.05.008","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the <em>in vitro</em> anti-diabetic effects of <em>Bryonia dioica</em> roots extracts, including water-acetone extracts and their ethyl acetate and butanol fractions, and chloroform-methanol extracts.</div></div><div><h3>Methods</h3><div>The total phenolic, flavonoid, flavonol, and saponin contents in the <em>Bryonia dioica</em> root extracts (chloroform-methanol extracts, water-acetone extracts and their ethyl acetate and butanol fractions) were determined using colorimetric methods with Folin-Ciocalteu, aluminum trichloride, and vanillin reagents, respectively. The <em>in vitro</em> anti-diabetic activity was evaluated by measuring the half-maximal inhibitory concentration (IC₅₀) values of these root extracts against α-amylase and α-glucosidase activities, evaluating their effects on α-amylase kinetics, quantifying the inhibition of bovine serum albumin (BSA) glycation using fluorometry to assess advanced glycation end products (AGE) production, and determining glucose uptake by isolated rat hemidiaphragm. Additionally, molecular docking analysis was conducted to investigate the binding affinity and interaction types between <em>Bryonia dioica</em> ligands (cucurbitacin B, bryogénin, vitexin, and isovitexin) and target enzymes, and a phytochemical-targets interaction network was constructed.</div></div><div><h3>Results</h3><div>For α-amylase inhibition, ethyl acetate fraction demonstrated the most potent activity (IC₅₀ = 145.95 μg/mL), followed by chloroform-methanol extract (IC₅₀ = 300.86 μg/mL). Water-acetone root extracts and their ethyl acetate and butanol fractions inhibited the α-glucosidase activity with IC₅₀ values ranging from 562.88 to 583.90 μg/mL. Both ethyl acetate and butanol fractions strongly inhibited non-enzymatic BSA glycation (IC₅₀ = 318.26 and 323.12 μg/mL, respectively). The incubation of isolated rat hemidiaphragms with the ethyl acetate fraction (5 mg/mL) significantly increased glucose uptake (35.16%; <em>P</em> &lt; 0.0001), exceeding the effects of insulin (29.27%), chloroform-methanol extract (24.07%), and catechin (15.27%). Molecular docking revealed that cucurbitacin B exhibited the strongest docking scores against α-amylase (– 16.4 kcal/mol), and α-glucosidase (– 14.2 kcal/mol). Compared with other ligands, isovitexin formed the maximum number of hydrogen bonds with the α-amylase active site residues (Asp300, Asp197, and Glu233), α-glucosidase residues (Ser13, Arg44, Met86, Gly10, Asp39, and Tyr131) and other residues (Arg195, Trp59, His299, and Tyr62). Network analysis identified 36 overlapping targets between Bryonia dioica phytochemicals and type 2 diabetes mellitus-associated genes, with cucurbitacins and polyphenols interacting with α-amylase, α-glucosidase, and Glut4 translocation pathway targets.</div></div><div><h3>Conclusion</h3><div><em>Bryonia dioica</em> root extracts demonstrated promising <em>in vitro</em> ","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 2","pages":"Pages 219-233"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772473","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":"Development and validation of a nomogram model for predicting the risk of H-type hypertension with pulse diagram parameters","authors":"Siman WANG,&nbsp;Mengchu ZHANG,&nbsp;Minghui YAO,&nbsp;Tianxiao XIE,&nbsp;Rui GUO,&nbsp;Yiqin WANG,&nbsp;Haixia YAN","doi":"10.1016/j.dcmed.2025.05.006","DOIUrl":"10.1016/j.dcmed.2025.05.006","url":null,"abstract":"<div><h3>Objective</h3><div>To develop an onset risk prediction nomogram for patients with homocysteine-type (H-type) hypertension (HTH) based on pulse diagram parameters to assist early clinical prediction and diagnosis of HTH.</div></div><div><h3>Methods</h3><div>Patients diagnosed with essential hypertension and admitted to Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai Hospital of Traditional Chinese Medicine, and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine from July 6th 2020 to June 16th 2021, and from August 11th 2023 to January 22nd 2024, were enrolled in this retrospective research. The baselines and clinical biochemical indicators of patients were collected. The SMART-I TCM pulse instrument was applied to gather pulse diagram parameters. Multivariate logistic regression was adopted to analyze the risk factors for HTH. RStudio was employed to construct the nomogram model, receiver operating characteristic (ROC) curve, and calibration curve (bootstrap self-sampling 200 times), and clinical decision curve were drawn to evaluate the model’s discrimination and clinical effectiveness.</div></div><div><h3>Results</h3><div>A total of 168 hospitalized patients with essential hypertension were selected and divided into non-HTH group (<em>n</em> = 29) and HTH group (<em>n</em> = 139). Compared with non-HTH group, HTH group had a lower body mass index (BMI), and higher proportions of male patients and drinkers (<em>P</em> &lt; 0.05). The ventricular wall thickening (VWT) could not be determined. The proportions of left common carotid intima-media wall thickness (LCCIMWT) and serum creatinine (SCR) were higher in HTH group (<em>P</em> &lt; 0.05). The pulse diagram parameter As was significantly higher, and H4/H1 and T1/T were lower in HTH group (<em>P</em> &lt; 0.05). Gender, alcohol consumption, serum creatinine, and the pulse diagram parameter H4/H1 were identified as independent risk factors for HTH (<em>P</em> &lt; 0.05). The nomogram’s area under the ROC curve (AUC) was 0.795 [95% confidence interval (CI): (0.706 6, 0.882 8)], with a specificity of 0.724 and sensitivity of 0.799. After 200 times repeated bootstrap self-samplings, the calibration curve showed that the simulated curve fits well with the actual curve (<em>x</em>² = &lt;styled-content style-type=\"number\"&gt;9.5002&lt;/styled-content&gt;, <em>P</em> = 0.301 9). The clinical decision curve indicated that the nomogram’s applicability was optimal when the threshold for predicting HTH was between 0.38 and 1.00.</div></div><div><h3>Conclusion</h3><div>The nomogram model could be valuable for predicting the onset risk of HTH and pulse diagram parameters can facilitate early screening and prevention of HTH.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 2","pages":"Pages 174-182"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773046","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":"Unveiling the digital renaissance of traditional Chinese medicine: a leap towards holistic healthcare and precision medicine","authors":"Lingyu Linda Ye ,&nbsp;Qinghua Peng ,&nbsp;Dayue Darrel Duan","doi":"10.1016/j.dcmed.2025.04.001","DOIUrl":"10.1016/j.dcmed.2025.04.001","url":null,"abstract":"","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 1-3"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936096","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":"Modulation of colonic DNA methyltransferase by mild moxibustion and electroacupuncture in ulcerative colitis TET2 knockout mice","authors":"Gege Feng ,&nbsp;Yue Zhang ,&nbsp;Huangan Wu ,&nbsp;Lu Zhu ,&nbsp;Hongxiao Xu ,&nbsp;Zhe Ma ,&nbsp;Yan Huang","doi":"10.1016/j.dcmed.2025.03.009","DOIUrl":"10.1016/j.dcmed.2025.03.009","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Objective&lt;/h3&gt;&lt;div&gt;To investigate the mechanism of in alleviating colonic mucosal inflammation in ten-eleven translocation (TET) protein 2 gene knockout (&lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;&lt;em&gt;-/-&lt;/em&gt;&lt;/sup&gt;) mice with ulcerative colitis (UC) by regulating DNA methyltransferase (DNMT) and DNA hydroxymethylase.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;Male specific pathogen-free (SPF) grade C57BL/6J wild-type (WT) mice (&lt;em&gt;n&lt;/em&gt; = 8) and &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; mice (&lt;em&gt;n&lt;/em&gt; = 20) were used to establish UC models by freely drinking 3% dextran sulfate sodium solution for 7 d. After UC model validation through histopathological examination in two mice from each type, the remaining mice were divided into four groups (&lt;em&gt;n&lt;/em&gt; = 6 in each group): WT model (WT + UC), &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; model (&lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + UC), &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; mild moxibustion (&lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + MM), and &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; electroacupuncture (&lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + EA) groups. &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + MM group received mild moxibustion on Tianshu (ST25) and Qihai (CV6) for 10 min daily for 7 d. The &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + EA group also applied electroacupuncture (1 mA, 2/100 Hz) at the same acupoints for 10 min daily for 7 d. The disease activity index (DAI) scores of each group of mice were accessed daily. The colon lengths of mice in groups were measured following intervention. The pathological changes in the colon tissues were observed with hematoxylin and eosin (HE) staining. The concentrations of interleukin (IL)-6, C-C motif chemokine 17 (CCL17), and C-X-C motif chemokine ligand 10 (CXCL10) in serum were detected by enzyme-linked immunosorbent assay (ELISA). The expression of DNMT proteins (DNMT1, DNMT3A, and DNMT3B) in the colon tissues was detected by immunohistochemistry. The expression of 5-methylcytosine (5-mC), 5-hydroxymethylcytosine (5-hmC), histone deacetylase 2 (HDAC2), and DNA hydroxymethylase family proteins (TET 1 and TET3) was detected using immunofluorescence, which also determined the co-localization of TET1 and IL-6 protein.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;Compared with WT + UC group, &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + UC group exhibited significantly higher DAI scores and shorter colon lengths (&lt;em&gt;P&lt;/em&gt; &lt; 0.01). Both mild moxibustion and electroacupuncture significantly decreased DAI scores and ameliorated colon shortening in &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; mice (&lt;em&gt;P&lt;/em&gt; &lt; 0.001). Histopathological scores of &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + UC mice were significantly higher than those of WT + UC group (&lt;em&gt;P&lt;/em&gt; &lt; 0.001) and were significantly reduced after both mild moxibustion and electroacupuncture interventions (&lt;em&gt;P&lt;/em&gt; &lt; 0.001). Serum levels of IL-6, CCL17, and CXCL10 were significantly elevated in &lt;em&gt;TET2&lt;/em&gt;&lt;sup&gt;-/-&lt;/sup&gt; + UC group compared with WT + UC group (&lt;em&gt;P&lt;/em&gt; &lt; 0.001). Mild moxibustion significantly reduced IL-6, CCL17, and CXCL10 levels (&lt;em&gt;P&lt;/em&gt; ","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 100-110"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936005","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":"External application of traditional Chinese medicine in combination with three-step analgesic ladder therapy for cancer-induced bone pain: a systematic review and meta-analysis","authors":"Fei Wang ,&nbsp;Guihua Lai ,&nbsp;Fang Zhou ,&nbsp;Duorui Nie ,&nbsp;Xiongtao Cheng ,&nbsp;Yue Wang ,&nbsp;Jianxiong Cao","doi":"10.1016/j.dcmed.2025.03.006","DOIUrl":"10.1016/j.dcmed.2025.03.006","url":null,"abstract":"<div><h3>Objective</h3><div>To systematically evaluate the overall efficacy of external application of traditional Chinese medicine (EA-TCM) in combination with oral three-step analgesic ladder therapy for patients suffering from cancer-induced bone pain (CIBP).</div></div><div><h3>Methods</h3><div>We conducted a literature search of randomized controlled trials on the combination of EA-TCM and three-step analgesic ladder therapy for CIBP across ten databases and two registration systems. It included four Chinese databases [Chinese Biomedical Literature Database (SinoMed), China National Knowledge Infrastructure (CNKI), Wanfang Database, and China Science and Technology Journal Database (VIP) ], six English databases (Scopus, Embase, Web of Science, PubMed, Cochrane Library, and OpenGrey), and two registration systems (Chinese Clinical Trial Registry and ClinicalTrials.gov). The timeframe for the literature search extended from the inception of each database to December 31, 2023. Meta-analysis was performed using RevMan (v5.4.1), and the outcome indicators (pain relief rate, analgesic duration, quality of life, pain intensity, breakthrough pain frequency, and adverse reactions) were graded using GRADE profiler (v3.6).</div></div><div><h3>Results</h3><div>According to the established inclusion and exclusion criteria, a total of 43 studies was deemed eligible, involving 3 142 participants with CIBP. The results of meta-analysis showed that compared with oral three-step analgesic ladder therapy alone, the combined therapy of EA-TCM and three-step analgesic ladder has a significant improvement in pain relief rate [risk ratio (RR) = 1.32, 95% confidence interval (CI): 1.24 to 1.41, <em>P</em> &lt; 0.000 01], analgesic duration [mean difference (MD) = 1.33, 95% CI: 0.97 to 1.69, <em>P</em> &lt; 0.000 01], and quality of life (MD = 5.66, 95% CI: 4.88 to 6.44, <em>P</em> &lt; 0.000 01). Furthermore, the combined therapy significantly reduced pain intensity (MD = – 1.00, 95% CI: – 1.19 to – 0.80, <em>P</em> &lt; 0.000 01), breakthrough pain frequency (MD = – 0.43, 95% CI: – 0.51 to – 0.36, <em>P</em> &lt; 0.000 01), and adverse reactions (RR = 0.60, 95% CI: 0.53 to 0.68, <em>P</em> &lt; 0.000 01) in CIBP patients. Based on the GRADE assessment, the level of evidence varied from low to moderate.</div></div><div><h3>Conclusion</h3><div>EA-TCM combined with the three-step analgesic ladder therapy can effectively alleviate pain symptoms in patients with CIBP and improve their quality of life. Additionally, the EA-TCM can effectively reduce the incidence of adverse reactions associated with three-step analgesic therapy.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 59-75"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936038","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":"Bioinformatics-based analysis of autophagy-related genes and prediction of potential Chinese medicines in diabetic kidney disease","authors":"Yufeng Xing ,&nbsp;Zining Peng ,&nbsp;Chaoyang Ye","doi":"10.1016/j.dcmed.2025.03.008","DOIUrl":"10.1016/j.dcmed.2025.03.008","url":null,"abstract":"<div><h3>Objective</h3><div>To predict the autophagy-related pathogenesis and key diagnostic genes of diabetic kidney disease (DKD) through bioinformatics analysis, and to identify related Chinese medicines.</div></div><div><h3>Methods</h3><div>Data from sequencing microarrays GSE30528, GSE30529, and GSE1009 in the Gene Expression Omnibus (GEO) were employed. Differentially expressed genes (DEGs) with adjusted <em>P</em> &lt; 0.05 from GSE30528 and GSE30529 were identified. Combining these DEGs with the human autophagy gene database, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and protein-protein interaction (PPI) network analysis were conducted on the obtained DKD autophagy-related genes. Subsequently, the least absolute shrinkage and selection operator (LASSO) regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were adopted to select autophagy-related genes. The diagnostic capability of these genes was assessed through analysis with the external validation set from microarray GSE1009, and relevant Chinese medicines were inversely predicted using the SymMap database.</div></div><div><h3>Results</h3><div>A total of &lt;styled-content style-type=\"number\"&gt;2014&lt;/styled-content&gt; DEGs were selected from GSE30528 and GSE30529, leading to the identification of 37 DKD autophagy-related genes. GO analysis indicated 681 biological mechanisms, including autophagy regulation and plasma membrane microdomain activity. KEGG enrichment analysis identified 112 related signaling pathways. PPI network analysis showed a marked enrichment of autophagy-related genes in DKD. Through LASSO regression and SVM-RFE, four core diagnostic genes for autophagy in DKD were identified: protein phosphatase 1 regulatory subunit 15A (<em>PPP1R15A</em>), hypoxia inducible factor 1 alpha subunit (<em>HIF1α</em>), deleted in liver cancer 1 (<em>DLC1</em>), and ceroid lipofuscinosis neuronal 3 (<em>CLN3</em>). The external validation set demonstrated high diagnostic efficiency for these genes. Finally, 146 kinds of potential Chinese medicines were predicted using the SymMap database, with heat-clearing and detoxifying medicine and blood-activating and stasis-eliminating medicine accounting for the largest proportion (25/146 and 13/146, respectively).</div></div><div><h3>Conclusion</h3><div>This study analyzed and validated bioinformatics sequencing databases to elucidate the potential molecular mechanisms of DKD autophagy and predicted key diagnostic genes, potential therapeutic targets, and related Chinese medicines, laying a solid foundation for clinical research and application.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 90-99"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936004","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":"Traditional Chinese medicine phenomics research on glycolipid metabolism disorder: a review","authors":"Xinyi Fang ,&nbsp;Linxuan Miao ,&nbsp;Yanjiao Zhang ,&nbsp;Yuxin Zhang ,&nbsp;Runyu Miao ,&nbsp;Huifang Guan ,&nbsp;Jiaxing Tian","doi":"10.1016/j.dcmed.2025.03.005","DOIUrl":"10.1016/j.dcmed.2025.03.005","url":null,"abstract":"<div><div>Traditional Chinese medicine (TCM) has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder. However, its widespread application has been hindered by the unclear biological essence of TCM syndromes and therapeutic mechanisms. As an emerging interdisciplinary field, phenomics integrates multi-dimensional data including genome, transcriptome, proteome, metabolome, and microbiome. When combined with TCM's holistic philosophy, it forms TCM phenomics, providing novel approaches to reveal the biological connotation of TCM syndromes and the mechanisms of herbal medicine. Taking glycolipid metabolism disorder as an example, this paper explores the application of TCM phenomics in glycolipid metabolism disorder. By analyzing molecular characteristics of related syndromes, TCM phenomics identifies differentially expressed genes, metabolites, and gut microbiota biomarkers to elucidate the dynamic evolution patterns of syndromes. Simultaneously, it deciphers the multi-target regulatory networks of herbal formulas, demonstrating their therapeutic effects through mechanisms including modulation of insulin signaling pathways, improvement of gut microbiota imbalance, and suppression of inflammatory responses. Current challenges include the subjective nature of syndrome diagnosis, insufficient standardization of animal models, and lack of integrated multi-omics analysis. Future research should employ machine learning, multimodal data integration, and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes, promote the integration of precision medicine in TCM and western medicine, and accelerate the modernization of TCM.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 49-58"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936037","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":"Research progress in digital auscultation: equipment and systems, characteristic parameters, and their application in diagnosis of pulmonary diseases and syndromes","authors":"Zhang Shuyi,&nbsp;Jiang Tao,&nbsp;Xu Jiatuo","doi":"10.1016/j.dcmed.2025.03.004","DOIUrl":"10.1016/j.dcmed.2025.03.004","url":null,"abstract":"<div><div>Traditional Chinese medicine (TCM) auscultation has a long history, and with advancements in equipment and analytical methods, the quantitative analysis of auscultation parameters has determined. However, the complexity and diversity of auscultation, along with variations in devices, analytical methods, and applications, bring challenges to its standardization and deeper application. This review presents the advancements in auscultation equipment and systems, auscultation characteristic parameters, and their application in the diagnosis of pulmonary diseases and syndromes over the past 10 years, while also exploring the progress and challenges of current digital research of auscultation. This review also proposes the establishment of standardized protocols for the collection and analysis of auscultation data, the incorporation of advanced artificial intelligence (AI) auscultation analysis methods, and an exploration of the diagnostic utility of auscultatory features in pulmonary diseases and syndromes, so as to provide more precise decision support for intelligent diagnosis of pulmonary diseases and syndromes</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 20-27"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936098","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":"Artificial intelligence in personalized cardiology treatment","authors":"Abbas Mohammadi ,&nbsp;Sheida Shokohyar","doi":"10.1016/j.dcmed.2025.03.003","DOIUrl":"10.1016/j.dcmed.2025.03.003","url":null,"abstract":"<div><div>Cardiovascular diseases are the leading cause of death, requiring innovative approaches for prevention, diagnosis, and treatment. Personalized medicine customizes interventions according to individual characteristics, with artificial intelligence (AI) playing a key role in analyzing complex data to improve diagnostic accuracy, predict outcomes, and optimize therapies. AI can identify patterns in imaging and biomarkers, facilitating the earlier detection of medical conditions. Wearable devices and health applications facilitate continuous monitoring and personalized care. Emerging fields such as digital Chinese medicine offer additional perspectives by integrating traditional diagnostic principles with modern digital tools, contributing to holistic and individualized cardiovascular care. This study examines the advancements and challenges in personalized cardiovascular medicine, highlighting the need to address issues such as data privacy, algorithmic bias, and accessibility to promote the equitable application of personalized medicine.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 28-35"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936099","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":"TCMLCM: an intelligent question-answering model for traditional Chinese medicine lung cancer based on the KG2TRAG method","authors":"Zhou Chunfang ,&nbsp;Gong Qingyue ,&nbsp;Zhan Wendong ,&nbsp;Zhu Jinyang ,&nbsp;Luan Huidan","doi":"10.1016/j.dcmed.2025.03.011","DOIUrl":"10.1016/j.dcmed.2025.03.011","url":null,"abstract":"<div><h3>Objective</h3><div>To improve the accuracy and professionalism of question-answering (QA) model in traditional Chinese medicine (TCM) lung cancer by integrating large language models with structured knowledge graphs using the knowledge graph (KG) to text-enhanced retrieval-augmented generation (KG2TRAG) method.</div></div><div><h3>Methods</h3><div>The TCM lung cancer model (TCMLCM) was constructed by fine-tuning ChatGLM2-6B on the specialized datasets Tianchi TCM, HuangDi, and ShenNong-TCM-Dataset, as well as a TCM lung cancer KG. The KG2TRAG method was applied to enhance the knowledge retrieval, which can convert KG triples into natural language text via ChatGPT-aided linearization, leveraging large language models (LLMs) for context-aware reasoning. For a comprehensive comparison, MedicalGPT, HuatuoGPT, and BenTsao were selected as the baseline models. Performance was evaluated using bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), accuracy, and the domain-specific TCM-LCEval metrics, with validation from TCM oncology experts assessing answer accuracy, professionalism, and usability.</div></div><div><h3>Results</h3><div>The TCMLCM model achieved the optimal performance across all metrics, including a BLEU score of 32.15%, ROUGE-L of 59.08%, and an accuracy rate of 79.68%. Notably, in the TCM-LCEval assessment specific to the field of TCM, its performance was 3% − 12% higher than that of the baseline model. Expert evaluations highlighted superior performance in accuracy and professionalism.</div></div><div><h3>Conclusion</h3><div>TCMLCM can provide an innovative solution for TCM lung cancer QA, demonstrating the feasibility of integrating structured KGs with LLMs. This work advances intelligent TCM healthcare tools and lays a foundation for future AI-driven applications in traditional medicine.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 1","pages":"Pages 36-45"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936100","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}