Pub Date : 2025-06-01DOI: 10.1016/j.dcmed.2025.05.003
Zhiying Wang , Yun Li , Zhixian Zhong , Ling Xu , Yi Zhong , Jian Chen
Objective
We employed Mendelian randomization (MR) to test the traditional Chinese medicine (TCM) theory of emotional pathogenesis concept and explore the causal relationship between negative emotions and chronic obstructive pulmonary disease (COPD).
Methods
Data of negative emotions, bronchitis, emphysema, and C-reactive protein (CRP) levels were downloaded from genome-wide association study (GWAS) public database for a two-sample MR analysis. Independent single-nucleotide polymorphisms (SNPs) associated with negative emotions, bronchitis, and emphysema were selected as instrumental variables. Primary causal estimates were derived using inverse-variance weighting (IVW), supplemented by weighted median (WM), and simple mode (SM) methods. Sensitivity analyses included MR-Egger regression and MR-PRESSO to assess pleiotropy, Cochran’s Q test for heterogeneity, and multivariate MR to adjust for smoking. Mediation analysis evaluated the role of inflammatory markers. Reverse MR was tested for bidirectional causality. Weak instrument bias was mitigated via F-statistic thresholds (> 10). All analyses were conducted in RStudio.
Results
MR analysis identified significant causal effects of several negative emotions on COPD. Genetically, the IVW analysis of seen doctors for nerves anxiety tension or depression [ORIVW = 1.006, 95% CI = (1.002, 1.010), P = 0.002], sensitivity/hurt feelings [ORIVW = 1.024, 95% CI = (1.004, 1.044), P = 0.017], and irritability [ORIVW = 1.019, 95% CI = (1.003, 1.035), P = 0.019 were robustly associated with increased risks of COPD. No heterogeneity was detected among the different instrumental variables (IVs) for depression (P = 0.655) and irritability (P = 0.163). MR-Egger regression intercepts for all emotional exposures were close to zero and statistically non-significant, indicating no evidence of directional pleiotropy. The horizontal pleiotropy results showed that except for worry (MR-PRESSO P = 0.006), other emotion exposures confirming no substantial pleiotropic bias. Multivariable MR demonstrated that anxiety remained independently associated with COPD after adjusting for smoking (P = 0.002), while associations with other negative emotions were attenuated post-adjustment. The mediation analysis revealed that CRP mediated 3.93% of the total effect of anxiety on COPD. However, reverse MR analysis found no evidence of reverse causality.
Conclusion
This study confirmed the causal effects of negative emotions on COPD through MR analysis and revealed that negative emotions may trigger CRP production, which plays an essential mediating role in this relationship. This study provides a reliable modern theoretical basis for emotion theory in TCM.
目的采用孟德尔随机化（MR）方法检验中医理论的情绪病机概念，探讨负性情绪与慢性阻塞性肺疾病（COPD）的因果关系。方法从全基因组关联研究（GWAS）公共数据库下载患者的负性情绪、支气管炎、肺气肿和c反应蛋白（CRP）水平数据，进行两样本MR分析。与负面情绪、支气管炎和肺气肿相关的独立单核苷酸多态性（snp）被选为工具变量。主要因果估计使用反方差加权（IVW），辅以加权中位数（WM）和简单模式（SM）方法。敏感性分析包括评估多效性的MR- egger回归和MR- presso，异质性的Cochran 's Q检验，以及调整吸烟因素的多变量MR。中介分析评估炎症标志物的作用。反向MR检验双向因果关系。通过f统计阈值(>；10)。所有分析均在RStudio中进行。结果smr分析发现几种负面情绪对COPD有显著的因果关系。从遗传学角度看，就诊医生对神经焦虑、紧张或抑郁的IVW分析[ORIVW = 1.006, 95% CI = (1.002, 1.010), P = 0.002]、敏感/受伤感[ORIVW = 1.024, 95% CI = (1.004, 1.044), P = 0.017]和易怒[ORIVW = 1.019, 95% CI = (1.003, 1.035), P = 0.019]与COPD风险增加显著相关。不同工具变量（IVs）对抑郁（P = 0.655）和烦躁（P = 0.163）的影响不存在异质性。所有情绪暴露的MR-Egger回归截距接近于零，在统计上不显著，表明没有方向性多效性的证据。水平多效性结果显示，除了担忧（MR-PRESSO P = 0.006）外，其他情绪暴露证实没有明显的多效性偏差。多变量MR显示，在调整吸烟因素后，焦虑仍与COPD独立相关（P = 0.002），而与其他负面情绪的关联在调整后减弱。中介分析显示，CRP介导焦虑对COPD总影响的3.93%。然而，反向磁共振分析没有发现反向因果关系的证据。结论本研究通过MR分析证实了消极情绪与COPD的因果关系，揭示了消极情绪可能触发CRP的产生，而CRP在这一关系中起着重要的中介作用。本研究为中医情感理论提供了可靠的现代理论基础。
{"title":"Validating the pathogenic mechanism of chronic obstructive pulmonary disease induced by negative emotions via Mendelian randomization and traditional Chinese medicine theory of emotions","authors":"Zhiying Wang , Yun Li , Zhixian Zhong , Ling Xu , Yi Zhong , Jian Chen","doi":"10.1016/j.dcmed.2025.05.003","DOIUrl":"10.1016/j.dcmed.2025.05.003","url":null,"abstract":"<div><h3>Objective</h3><div>We employed Mendelian randomization (MR) to test the traditional Chinese medicine (TCM) theory of emotional pathogenesis concept and explore the causal relationship between negative emotions and chronic obstructive pulmonary disease (COPD).</div></div><div><h3>Methods</h3><div>Data of negative emotions, bronchitis, emphysema, and C-reactive protein (CRP) levels were downloaded from genome-wide association study (GWAS) public database for a two-sample MR analysis. Independent single-nucleotide polymorphisms (SNPs) associated with negative emotions, bronchitis, and emphysema were selected as instrumental variables. Primary causal estimates were derived using inverse-variance weighting (IVW), supplemented by weighted median (WM), and simple mode (SM) methods. Sensitivity analyses included MR-Egger regression and MR-PRESSO to assess pleiotropy, Cochran’s <em>Q</em> test for heterogeneity, and multivariate MR to adjust for smoking. Mediation analysis evaluated the role of inflammatory markers. Reverse MR was tested for bidirectional causality. Weak instrument bias was mitigated via F-statistic thresholds (> 10). All analyses were conducted in RStudio.</div></div><div><h3>Results</h3><div>MR analysis identified significant causal effects of several negative emotions on COPD. Genetically, the IVW analysis of seen doctors for nerves anxiety tension or depression [OR<sub>IVW</sub> = 1.006, 95% CI = (1.002, 1.010), <em>P</em> = 0.002], sensitivity/hurt feelings [OR<sub>IVW</sub> = 1.024, 95% CI = (1.004, 1.044), <em>P</em> = 0.017], and irritability [OR<sub>IVW</sub> = 1.019, 95% CI = (1.003, 1.035), <em>P</em> = 0.019 were robustly associated with increased risks of COPD. No heterogeneity was detected among the different instrumental variables (IVs) for depression (<em>P</em> = 0.655) and irritability (<em>P</em> = 0.163). MR-Egger regression intercepts for all emotional exposures were close to zero and statistically non-significant, indicating no evidence of directional pleiotropy. The horizontal pleiotropy results showed that except for worry (MR-PRESSO <em>P</em> = 0.006), other emotion exposures confirming no substantial pleiotropic bias. Multivariable MR demonstrated that anxiety remained independently associated with COPD after adjusting for smoking (<em>P</em> = 0.002), while associations with other negative emotions were attenuated post-adjustment. The mediation analysis revealed that CRP mediated 3.93% of the total effect of anxiety on COPD. However, reverse MR analysis found no evidence of reverse causality.</div></div><div><h3>Conclusion</h3><div>This study confirmed the causal effects of negative emotions on COPD through MR analysis and revealed that negative emotions may trigger CRP production, which plays an essential mediating role in this relationship. This study provides a reliable modern theoretical basis for emotion theory in TCM.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 2","pages":"Pages 196-205"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772462","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}
Pub Date : 2025-06-01DOI: 10.1016/j.dcmed.2025.05.007
Zhenzhong Liang , Changsong Ding
Objective
To predict the potential targets of Qingfu Juanbi Decoction (青附蠲痹汤, QFJBD) in treating rheumatoid arthritis (RA) using an improved Transformer model and investigate the network pharmacological mechanisms underlying QFJBD’s therapeutic effects on RA.
Methods
First, a traditional Chinese medicine herb-target interaction (TCMHTI) model was constructed to predict herb-target interactions based on Transformer improvement. The performance of the TCMHTI model was evaluated against baseline models using three metrics: area under the receiver operating characteristic curve (AUC), precision-recall curve (PRC), and accuracy. Subsequently, a protein-protein interaction (PPI) network was built based on the predicted targets, with core targets identified as the top nine nodes ranked by degree values. Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the targets predicted by TCMHTI and the targets identified through network pharmacology method for comparison. Then, the results were compared. Finally, the core targets predicted by TCMHTI were validated through molecular docking and literature review.
Results
The TCMHTI model achieved an AUC of 0.883, PRC of 0.849, and accuracy of 0.818, predicting 49 potential targets for QFJBD in RA treatment. Nine core targets were identified: tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, IL-10, IL-17A, cluster of differentiation 40 (CD40), cytotoxic T-lymphocyte-associated protein 4 (CTLA4), IL-4, and signal transducer and activator of transcription 3 (STAT3). The enrichment analysis demonstrated that the TCMHTI model predicted 49 targets and enriched more pathways directly associated with RA, whereas classical network pharmacology identified 64 targets but enriched pathways showing weaker relevance to RA. Molecular docking demonstrated that the active molecules in QFJBD exhibit favorable binding energy with RA targets, while literature research further revealed that QFJBD can treat RA through 9 core targets.
Conclusion
The TCMHTI model demonstrated greater accuracy than traditional network pharmacology methods, suggesting QFJBD exerts therapeutic effects on RA by regulating targets like TNF-α, IL-1β, and IL-6, as well as multiple signaling pathways. This study provides a novel framework for bridging traditional herbal knowledge with precision medicine, offering actionable insights for developing targeted TCM therapies against diseases.
{"title":"TCMHTI: a Transformer-based herb-target interaction prediction model for Qingfu Juanbi Decoction in rheumatoid arthritis","authors":"Zhenzhong Liang , Changsong Ding","doi":"10.1016/j.dcmed.2025.05.007","DOIUrl":"10.1016/j.dcmed.2025.05.007","url":null,"abstract":"<div><h3>Objective</h3><div>To predict the potential targets of Qingfu Juanbi Decoction (青附蠲痹汤, QFJBD) in treating rheumatoid arthritis (RA) using an improved Transformer model and investigate the network pharmacological mechanisms underlying QFJBD’s therapeutic effects on RA.</div></div><div><h3>Methods</h3><div>First, a traditional Chinese medicine herb-target interaction (TCMHTI) model was constructed to predict herb-target interactions based on Transformer improvement. The performance of the TCMHTI model was evaluated against baseline models using three metrics: area under the receiver operating characteristic curve (AUC), precision-recall curve (PRC), and accuracy. Subsequently, a protein-protein interaction (PPI) network was built based on the predicted targets, with core targets identified as the top nine nodes ranked by degree values. Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the targets predicted by TCMHTI and the targets identified through network pharmacology method for comparison. Then, the results were compared. Finally, the core targets predicted by TCMHTI were validated through molecular docking and literature review.</div></div><div><h3>Results</h3><div>The TCMHTI model achieved an AUC of 0.883, PRC of 0.849, and accuracy of 0.818, predicting 49 potential targets for QFJBD in RA treatment. Nine core targets were identified: tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, IL-10, IL-17A, cluster of differentiation 40 (CD40), cytotoxic T-lymphocyte-associated protein 4 (CTLA4), IL-4, and signal transducer and activator of transcription 3 (STAT3). The enrichment analysis demonstrated that the TCMHTI model predicted 49 targets and enriched more pathways directly associated with RA, whereas classical network pharmacology identified 64 targets but enriched pathways showing weaker relevance to RA. Molecular docking demonstrated that the active molecules in QFJBD exhibit favorable binding energy with RA targets, while literature research further revealed that QFJBD can treat RA through 9 core targets.</div></div><div><h3>Conclusion</h3><div>The TCMHTI model demonstrated greater accuracy than traditional network pharmacology methods, suggesting QFJBD exerts therapeutic effects on RA by regulating targets like TNF-α, IL-1β, and IL-6, as well as multiple signaling pathways. This study provides a novel framework for bridging traditional herbal knowledge with precision medicine, offering actionable insights for developing targeted TCM therapies against diseases.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 2","pages":"Pages 206-218"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772472","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}
Pub Date : 2025-06-01DOI: 10.1016/j.dcmed.2025.05.004
Duoting Tan , Hao Liang , Yipin Yu , Jin Guo , Liqin Zhong , Zhixi Hu
Objective
To develop a quality appraisal tool for case reports in traditional Chinese medicine (TCM) based on their characteristics.
Methods
An extensive literature search was conducted in Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), and China Science and Technology Journal Database (CSTJ), focusing on expert consensus statements and checklists for TCM case reports. Relevant items were extracted, and a Delphi method involving 34 experts was used in two rounds to rate each item on a 5-point Likert scale. Items were screened based on measures of central tendency and coordination (including total score, mean score, percentage of items rated as unimportant, and coefficient of variation). The weighted average method was used to determine item weights and construct the appraisal tool. Internal consistency was assessed using Cronbach’s α coefficient. The finalized tool was pilot-tested by two reviewers independently appraising 20 case reports, with an additional four reviewers evaluating 5 of these cases to compare inter-rater consistency.
Results
A total of 9 513 articles were retrieved, and 96 items from 25 articles were extracted. After two rounds of the Delphi method, 27 items across 10 domains were retained. The Cronbach’s α coefficient was 0.72 in the first round (acceptable range), and 0.96 in the second round, indicating strong internal consistency. The tool was piloted by six reviewers, achieving a kappa value of 0.663 and a Kendall’s coefficient of concordance of 0.845, demonstrating high consistency among reviewers.
Conclusion
The developed TCM case report quality appraisal tool, consisting of 27 items in 10 domains, offers a scientific and reliable means of assessing the quality of TCM case reports. The tool showed high consistency and practical utility, and its application is expected to enhance the standardization, scientific rigor, and evidence quality of TCM case reports, facilitating the integration of traditional medical knowledge with modern evidence-based standards.
{"title":"Development and validation of a quality appraisal tool for case reports in traditional Chinese medicine using the Delphi method","authors":"Duoting Tan , Hao Liang , Yipin Yu , Jin Guo , Liqin Zhong , Zhixi Hu","doi":"10.1016/j.dcmed.2025.05.004","DOIUrl":"10.1016/j.dcmed.2025.05.004","url":null,"abstract":"<div><h3>Objective</h3><div>To develop a quality appraisal tool for case reports in traditional Chinese medicine (TCM) based on their characteristics.</div></div><div><h3>Methods</h3><div>An extensive literature search was conducted in Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), and China Science and Technology Journal Database (CSTJ), focusing on expert consensus statements and checklists for TCM case reports. Relevant items were extracted, and a Delphi method involving 34 experts was used in two rounds to rate each item on a 5-point Likert scale. Items were screened based on measures of central tendency and coordination (including total score, mean score, percentage of items rated as unimportant, and coefficient of variation). The weighted average method was used to determine item weights and construct the appraisal tool. Internal consistency was assessed using Cronbach’s α coefficient. The finalized tool was pilot-tested by two reviewers independently appraising 20 case reports, with an additional four reviewers evaluating 5 of these cases to compare inter-rater consistency.</div></div><div><h3>Results</h3><div>A total of 9 513 articles were retrieved, and 96 items from 25 articles were extracted. After two rounds of the Delphi method, 27 items across 10 domains were retained. The Cronbach’s α coefficient was 0.72 in the first round (acceptable range), and 0.96 in the second round, indicating strong internal consistency. The tool was piloted by six reviewers, achieving a kappa value of 0.663 and a Kendall’s coefficient of concordance of 0.845, demonstrating high consistency among reviewers.</div></div><div><h3>Conclusion</h3><div>The developed TCM case report quality appraisal tool, consisting of 27 items in 10 domains, offers a scientific and reliable means of assessing the quality of TCM case reports. The tool showed high consistency and practical utility, and its application is expected to enhance the standardization, scientific rigor, and evidence quality of TCM case reports, facilitating the integration of traditional medical knowledge with modern evidence-based standards.</div></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":"8 2","pages":"Pages 137-146"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773043","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}
Pub Date : 2025-06-01DOI: 10.1016/j.dcmed.2025.05.008
Fekhikher Zohra , Benariba Nabila , Radia Brixi Gormat , Hassain Reda , Abdelli Imen , Z. Sekkal Fatima , Kachekouche Youssouf , Taibi Warda , Brikci Sohayb Bekkal , Terki Mohammed , Benramdane Hanane , Adjdir Sara
Objective
To evaluate the in vitro anti-diabetic effects of Bryonia dioica roots extracts, including water-acetone extracts and their ethyl acetate and butanol fractions, and chloroform-methanol extracts.
Methods
The total phenolic, flavonoid, flavonol, and saponin contents in the Bryonia dioica 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 in vitro 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 Bryonia dioica ligands (cucurbitacin B, bryogénin, vitexin, and isovitexin) and target enzymes, and a phytochemical-targets interaction network was constructed.
Results
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%; P < 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.
Conclusion
Bryonia dioica root extracts demonstrated promising in vitro
{"title":"Evaluating the in vitro anti-diabetic activity of Bryonia dioica root extracts supported by molecular docking analysis","authors":"Fekhikher Zohra , Benariba Nabila , Radia Brixi Gormat , Hassain Reda , Abdelli Imen , Z. Sekkal Fatima , Kachekouche Youssouf , Taibi Warda , Brikci Sohayb Bekkal , Terki Mohammed , Benramdane Hanane , 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 (IC<sub>50</sub>) 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 (IC<sub>50</sub> = 145.95 μg/mL), followed by chloroform-methanol extract (IC<sub>50</sub> = 300.86 μg/mL). Water-acetone root extracts and their ethyl acetate and butanol fractions inhibited the α-glucosidase activity with IC<sub>50</sub> values ranging from 562.88 to 583.90 μg/mL. Both ethyl acetate and butanol fractions strongly inhibited non-enzymatic BSA glycation (IC<sub>50</sub> = 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> < 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}
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.
Methods
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.
Results
A total of 168 hospitalized patients with essential hypertension were selected and divided into non-HTH group (n = 29) and HTH group (n = 139). Compared with non-HTH group, HTH group had a lower body mass index (BMI), and higher proportions of male patients and drinkers (P < 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 (P < 0.05). The pulse diagram parameter As was significantly higher, and H4/H1 and T1/T were lower in HTH group (P < 0.05). Gender, alcohol consumption, serum creatinine, and the pulse diagram parameter H4/H1 were identified as independent risk factors for HTH (P < 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 (x2 = <styled-content style-type="number">9.5002</styled-content>, P = 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.
Conclusion
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.
{"title":"Development and validation of a nomogram model for predicting the risk of H-type hypertension with pulse diagram parameters","authors":"Siman WANG, Mengchu ZHANG, Minghui YAO, Tianxiao XIE, Rui GUO, Yiqin WANG, 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> < 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> < 0.05). The pulse diagram parameter As was significantly higher, and H4/H1 and T1/T were lower in HTH group (<em>P</em> < 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> < 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><sup>2</sup> = <styled-content style-type=\"number\">9.5002</styled-content>, <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}
Pub Date : 2025-03-01DOI: 10.1016/j.dcmed.2025.04.001
Lingyu Linda Ye , Qinghua Peng , Dayue Darrel Duan
{"title":"Unveiling the digital renaissance of traditional Chinese medicine: a leap towards holistic healthcare and precision medicine","authors":"Lingyu Linda Ye , Qinghua Peng , 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}
Pub Date : 2025-03-01DOI: 10.1016/j.dcmed.2025.03.009
Gege Feng , Yue Zhang , Huangan Wu , Lu Zhu , Hongxiao Xu , Zhe Ma , Yan Huang
<div><h3>Objective</h3><div>To investigate the mechanism of in alleviating colonic mucosal inflammation in ten-eleven translocation (TET) protein 2 gene knockout (<em>TET2</em><sup><em>-/-</em></sup>) mice with ulcerative colitis (UC) by regulating DNA methyltransferase (DNMT) and DNA hydroxymethylase.</div></div><div><h3>Methods</h3><div>Male specific pathogen-free (SPF) grade C57BL/6J wild-type (WT) mice (<em>n</em> = 8) and <em>TET2</em><sup>-/-</sup> mice (<em>n</em> = 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 (<em>n</em> = 6 in each group): WT model (WT + UC), <em>TET2</em><sup>-/-</sup> model (<em>TET2</em><sup>-/-</sup> + UC), <em>TET2</em><sup>-/-</sup> mild moxibustion (<em>TET2</em><sup>-/-</sup> + MM), and <em>TET2</em><sup>-/-</sup> electroacupuncture (<em>TET2</em><sup>-/-</sup> + EA) groups. <em>TET2</em><sup>-/-</sup> + MM group received mild moxibustion on Tianshu (ST25) and Qihai (CV6) for 10 min daily for 7 d. The <em>TET2</em><sup>-/-</sup> + 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.</div></div><div><h3>Results</h3><div>Compared with WT + UC group, <em>TET2</em><sup>-/-</sup> + UC group exhibited significantly higher DAI scores and shorter colon lengths (<em>P</em> < 0.01). Both mild moxibustion and electroacupuncture significantly decreased DAI scores and ameliorated colon shortening in <em>TET2</em><sup>-/-</sup> mice (<em>P</em> < 0.001). Histopathological scores of <em>TET2</em><sup>-/-</sup> + UC mice were significantly higher than those of WT + UC group (<em>P</em> < 0.001) and were significantly reduced after both mild moxibustion and electroacupuncture interventions (<em>P</em> < 0.001). Serum levels of IL-6, CCL17, and CXCL10 were significantly elevated in <em>TET2</em><sup>-/-</sup> + UC group compared with WT + UC group (<em>P</em> < 0.001). Mild moxibustion significantly reduced IL-6, CCL17, and CXCL10 levels (<em>P</em>
目的探讨通过调节DNA甲基转移酶（DNMT）和DNA羟甲基化酶，减轻10 - 11易位（TET）蛋白2基因敲除（TET2-/-）小鼠溃疡性结肠炎（UC）结肠黏膜炎症的机制。方法采用SPF级C57BL/6J野生型（WT）小鼠（n = 8）和TET2-/-型小鼠（n = 20）分别自由灌胃3%葡聚糖硫酸钠溶液7 d建立UC模型，每型2只经组织病理学检查验证UC模型后，将剩余小鼠分为4组（每组6只）：WT模型（WT + UC）、TET2-/-模型（TET2-/- + UC）、TET2-/-轻度灸（TET2-/- + MM）、TET2-/-电针（TET2-/- + EA）组。TET2-/- + MM组给予天俞穴（ST25）和七海穴（CV6）轻灸，每日10 min，连用7 d。TET2-/- + EA组同时在同一穴位电针（1 mA, 2/100 Hz），每日10 min，连用7 d。每日获取各组小鼠疾病活动指数（DAI）评分。干预后测量各组小鼠结肠长度。苏木精、伊红（HE）染色观察结肠组织病理变化。采用酶联免疫吸附法（ELISA）检测血清中白细胞介素(IL)-6、C-C基序趋化因子17 （CCL17）和C-X-C基序趋化因子配体10 （CXCL10）的浓度。免疫组化检测结肠组织中DNMT蛋白（DNMT1、DNMT3A、DNMT3B）的表达。免疫荧光法检测5-甲基胞嘧啶（5-mC）、5-羟甲基胞嘧啶（5-hmC）、组蛋白去乙酰化酶2 （HDAC2）和DNA羟甲基化酶家族蛋白（TET 1和TET3）的表达，并测定TET1和IL-6蛋白的共定位。结果与WT + UC组比较，TET2-/- + UC组DAI评分显著升高，结肠长度显著缩短(P <；0.01)。轻度艾灸和电针均可显著降低TET2-/-小鼠DAI评分，改善结肠缩短(P <；0.001)。TET2-/- + UC小鼠的组织病理学评分显著高于WT + UC组(P <；0.001)，轻度艾灸和电针干预后显著降低(P <；0.001)。与WT + UC组相比，TET2-/- + UC组血清IL-6、CCL17、CXCL10水平显著升高(P <；0.001)。轻度艾灸可显著降低IL-6、CCL17、CXCL10水平(P <；0.001, P <；0.001, P <；0.01)，而电针也显著降低IL-6、CCL17和CXCL10水平(P <；0.05, P <；0.01, P <；分别为0.01)。TET2-/- + UC小鼠DNMT1、DNMT3A、DNMT3B和5-mC的表达水平升高(P <；0.05, P <；0.01和P <；0.001)， TET1、TET3、5-hmC和HDAC2的表达水平降低(P <；0.001)。轻度艾灸可显著降低DNMT1、DNMT3B和5-mC水平(P <；0.05, P <；0.01, P <；0.001)，同时增加TET1、TET3、5-hmC和HDAC2的表达水平(P <；0.001, P <；0.001, P <；0.05, P <；分别为0.001)。电针显著降低5-mC和DNMT3B水平(P <；0.001和P <；5-hmC和HDAC2水平升高(P <；0.05和P <；0.001)，但对TET1和TET3表达无显著影响(P >；0.05)。与TET2-/- + MM组比较，TET2-/- + EA组5-mC表达显著升高(P <；0.001)。TET2-/- + UC组IL-6表达明显增加，粘膜上皮中TET1和IL-6的共定位较高，而其他组IL-6表达较低。结论微灸和电针可通过表观遗传机制改善UC小鼠TET2缺乏所致的结肠炎症。两种干预之间存在不同的机制：轻度艾灸调节DNMT和羟甲基化酶，而电针主要影响DNMT。
{"title":"Modulation of colonic DNA methyltransferase by mild moxibustion and electroacupuncture in ulcerative colitis TET2 knockout mice","authors":"Gege Feng , Yue Zhang , Huangan Wu , Lu Zhu , Hongxiao Xu , Zhe Ma , Yan Huang","doi":"10.1016/j.dcmed.2025.03.009","DOIUrl":"10.1016/j.dcmed.2025.03.009","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the mechanism of in alleviating colonic mucosal inflammation in ten-eleven translocation (TET) protein 2 gene knockout (<em>TET2</em><sup><em>-/-</em></sup>) mice with ulcerative colitis (UC) by regulating DNA methyltransferase (DNMT) and DNA hydroxymethylase.</div></div><div><h3>Methods</h3><div>Male specific pathogen-free (SPF) grade C57BL/6J wild-type (WT) mice (<em>n</em> = 8) and <em>TET2</em><sup>-/-</sup> mice (<em>n</em> = 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 (<em>n</em> = 6 in each group): WT model (WT + UC), <em>TET2</em><sup>-/-</sup> model (<em>TET2</em><sup>-/-</sup> + UC), <em>TET2</em><sup>-/-</sup> mild moxibustion (<em>TET2</em><sup>-/-</sup> + MM), and <em>TET2</em><sup>-/-</sup> electroacupuncture (<em>TET2</em><sup>-/-</sup> + EA) groups. <em>TET2</em><sup>-/-</sup> + MM group received mild moxibustion on Tianshu (ST25) and Qihai (CV6) for 10 min daily for 7 d. The <em>TET2</em><sup>-/-</sup> + 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.</div></div><div><h3>Results</h3><div>Compared with WT + UC group, <em>TET2</em><sup>-/-</sup> + UC group exhibited significantly higher DAI scores and shorter colon lengths (<em>P</em> < 0.01). Both mild moxibustion and electroacupuncture significantly decreased DAI scores and ameliorated colon shortening in <em>TET2</em><sup>-/-</sup> mice (<em>P</em> < 0.001). Histopathological scores of <em>TET2</em><sup>-/-</sup> + UC mice were significantly higher than those of WT + UC group (<em>P</em> < 0.001) and were significantly reduced after both mild moxibustion and electroacupuncture interventions (<em>P</em> < 0.001). Serum levels of IL-6, CCL17, and CXCL10 were significantly elevated in <em>TET2</em><sup>-/-</sup> + UC group compared with WT + UC group (<em>P</em> < 0.001). Mild moxibustion significantly reduced IL-6, CCL17, and CXCL10 levels (<em>P</em> ","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}
Pub Date : 2025-03-01DOI: 10.1016/j.dcmed.2025.03.006
Fei Wang , Guihua Lai , Fang Zhou , Duorui Nie , Xiongtao Cheng , Yue Wang , Jianxiong Cao
Objective
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).
Methods
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).
Results
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, P < 0.000 01], analgesic duration [mean difference (MD) = 1.33, 95% CI: 0.97 to 1.69, P < 0.000 01], and quality of life (MD = 5.66, 95% CI: 4.88 to 6.44, P < 0.000 01). Furthermore, the combined therapy significantly reduced pain intensity (MD = – 1.00, 95% CI: – 1.19 to – 0.80, P < 0.000 01), breakthrough pain frequency (MD = – 0.43, 95% CI: – 0.51 to – 0.36, P < 0.000 01), and adverse reactions (RR = 0.60, 95% CI: 0.53 to 0.68, P < 0.000 01) in CIBP patients. Based on the GRADE assessment, the level of evidence varied from low to moderate.
Conclusion
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.
{"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 , Guihua Lai , Fang Zhou , Duorui Nie , Xiongtao Cheng , Yue Wang , 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> < 0.000 01], analgesic duration [mean difference (MD) = 1.33, 95% CI: 0.97 to 1.69, <em>P</em> < 0.000 01], and quality of life (MD = 5.66, 95% CI: 4.88 to 6.44, <em>P</em> < 0.000 01). Furthermore, the combined therapy significantly reduced pain intensity (MD = – 1.00, 95% CI: – 1.19 to – 0.80, <em>P</em> < 0.000 01), breakthrough pain frequency (MD = – 0.43, 95% CI: – 0.51 to – 0.36, <em>P</em> < 0.000 01), and adverse reactions (RR = 0.60, 95% CI: 0.53 to 0.68, <em>P</em> < 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}
Pub Date : 2025-03-01DOI: 10.1016/j.dcmed.2025.03.008
Yufeng Xing , Zining Peng , Chaoyang Ye
Objective
To predict the autophagy-related pathogenesis and key diagnostic genes of diabetic kidney disease (DKD) through bioinformatics analysis, and to identify related Chinese medicines.
Methods
Data from sequencing microarrays GSE30528, GSE30529, and GSE1009 in the Gene Expression Omnibus (GEO) were employed. Differentially expressed genes (DEGs) with adjusted P < 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.
Results
A total of <styled-content style-type="number">2014</styled-content> 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 (PPP1R15A), hypoxia inducible factor 1 alpha subunit (HIF1α), deleted in liver cancer 1 (DLC1), and ceroid lipofuscinosis neuronal 3 (CLN3). 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).
Conclusion
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.
{"title":"Bioinformatics-based analysis of autophagy-related genes and prediction of potential Chinese medicines in diabetic kidney disease","authors":"Yufeng Xing , Zining Peng , 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> < 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 <styled-content style-type=\"number\">2014</styled-content> 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}
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.
{"title":"Traditional Chinese medicine phenomics research on glycolipid metabolism disorder: a review","authors":"Xinyi Fang , Linxuan Miao , Yanjiao Zhang , Yuxin Zhang , Runyu Miao , Huifang Guan , 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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号