To evaluate the efficacy and safety of Huanglian Wendan Decoction (黄连温胆汤, HLWDD) alone or combined with western medicine in treating insomnia caused by phlegm-heat internal disturbance in recent 10 years.
Methods
The randomized controlled trials of HLWDD alone or combined with western medicine in treating insomnia caused by phlegm-heat internal disturbance from January 1, 2012 to April 1, 2022 were searched in China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Database, China BioMedical Literature Database (CBM), PubMed, Web of Science, Embase, and Cochrane Library databases. After being screening, the included literature was analyzed to evaluate the effective rate, Pittsburgh Sleep Quality Index (PSQI) score, traditional Chinese medicine (TCM) syndrome score, and adverse reactions of HLWDD on insomnia caused by phlegm-heat internal disturbance. The subgroup analyzed the effect of HLWDD after different treatment courses, and compared the therapeutic effects of HLWDD alone and HLWDD combined with western medicine.
Results
Twenty-seven randomized controlled trials were finally included, with a total of 2 395 patients. The results of the meta-analysis showed that the curative effect of HLWDD alone or combined with the western medicine group was better than that of the western medicine group [RR = 1.14, 95% CI (1.06, 1.22), P = 0.000]. The PSQI score [SMD = – 0.31, 95% CI (– 0.42, – 0.20), P = 0.000], TCM syndrome score [SMD = – 0.40, 95% CI (– 0.67, – 0.12), P = 0.005], and adverse reaction rate [RR = 0.21, 95% CI (0.15, 0.29), P = 0.000] of HLWDD alone or combined with western medicine group were significantly reduced compared with the western medicine group. The subgroup’s analysis showed that the curative effect of HLWDD alone or combined with western medicine group of 4 weeks treatment course was better than that of the western medicine group [RR = 1.14, 95% CI (1.03, 1.26), P < 0.05]. The TCM syndrome score of HLWDD alone or combined with the western medicine group of 4 weeks treatment course decreased more obviously than that of the western medicine group [SMD = – 0.60, 95% CI (– 0.96, – 0.25), P < 0.05]. There were no significant differences between HLWDD alone or combined with western medicine group and western medicine group with different treatment courses based on PSQI score and adverse reaction rate. Based on the effective rate, the comparison between the HLWDD alone group and the western medicine group [RR = 1.09, 95% CI (1.00, – 1.20) P < 0.05], and between the HLWDD combined with western medicine group and the western medicine group [RR = 1.15, 95% CI (1.03, 1.29), P < 0.05] was the same. PSQI score [SMD = – 0.44, 95% CI (– 0.59, – 0.30), P < 0.05] and TCM syndrome score [SMD = – 1.10, 95% CI (– 1.59, – 0.61)
目的评价近10年来黄连温胆汤单用或联用西药治疗痰热内邪性失眠的疗效和安全性。方法检索2012年1月1日至2022年4月1日中国知网(CNKI)、中国科技期刊库(VIP)、万方数据库、中国生物医学文献库(CBM)、PubMed、Web of Science、Embase、Cochrane Library等数据库中单用或联合西药治疗痰热内乱型失眠的随机对照试验。筛选后，对纳入的文献进行分析，评价其有效率、匹兹堡睡眠质量指数(PSQI)评分、中医证候评分及对痰热内耗型失眠的不良反应。亚组分析不同疗程后高脂泻泻的疗效，比较单用高脂泻泻与西药联用高脂泻泻的疗效。结果最终纳入27项随机对照试验，共纳入患者2 395例。meta分析结果显示，单用或联用西药组患者的疗效均优于西药组[RR = 1.14, 95% CI (1.06, 1.22)， P = 0.000]。单用或联用西药组的PSQI评分[SMD = - 0.31, 95% CI (- 0.42， - 0.20)， P = 0.000]、中医证候评分[SMD = - 0.40, 95% CI (- 0.67， - 0.12)， P = 0.005]、不良反应率[RR = 0.21, 95% CI (0.15, 0.29)， P = 0.000]均显著低于西药组。亚组分析显示，单用或联合西药组治疗4周疗效优于西药组[RR = 1.14, 95% CI (1.03, 1.26)， P <0.05]。治疗4周后，高肝郁单药组或联合西药组中医证候评分较西药组下降更明显[SMD = - 0.60, 95% CI (- 0.96， - 0.25)， P <0.05]。在PSQI评分及不良反应发生率方面，高脂寡糖单用或联用西药组与不同疗程西药组比较差异无统计学意义。基于有效率，单药组与西药组比较[RR = 1.09, 95% CI (1.00， - 1.20) P <差异有统计学意义(RR = 1.15, 95% CI (1.03, 1.29)， P <0.05]相同。PSQI评分[SMD = - 0.44, 95% CI (- 0.59， - 0.30)， P <0.05]和中医证候评分[SMD = - 1.10, 95% CI (- 1.59， - 0.61)， P <[0.05]与西药联合治疗组相比，显著低于西药治疗组。两组患者不良反应发生率差异无统计学意义[RR = 0.08, 95% CI (0.04, 0.17)， P <[0.05]和HLWDD联合西药组[RR = 0.36, 95% CI (0.24, 0.53)， P <0.05]。结论中西医结合治疗痰热内邪失眠有效，有效率高，显著降低PSQI评分和中医证候评分，且安全性较好。最佳疗程为4周。
{"title":"Meta-analysis of the efficacy and safety of Huanglian Wendan Decoction alone or combined with western medicine in treating insomnia caused by phlegm-heat internal disturbance","authors":"Y.A.N.G. Lei , H.E. Liyun , C.H.E.N. Xiao , W.A.N.G. Kaiyue , F.A.N.G. Yongjun , L.I.A.N.G. Zhuang , Y.A.N.G. Zhao","doi":"10.1016/j.dcmed.2022.10.010","DOIUrl":"10.1016/j.dcmed.2022.10.010","url":null,"abstract":"<div><h3>Objective</h3><p>To evaluate the efficacy and safety of Huanglian Wendan Decoction (黄连温胆汤, HLWDD) alone or combined with western medicine in treating insomnia caused by phlegm-heat internal disturbance in recent 10 years.</p></div><div><h3>Methods</h3><p>The randomized controlled trials of HLWDD alone or combined with western medicine in treating insomnia caused by phlegm-heat internal disturbance from January 1, 2012 to April 1, 2022 were searched in China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Database, China BioMedical Literature Database (CBM), PubMed, Web of Science, Embase, and Cochrane Library databases. After being screening, the included literature was analyzed to evaluate the effective rate, Pittsburgh Sleep Quality Index (PSQI) score, traditional Chinese medicine (TCM) syndrome score, and adverse reactions of HLWDD on insomnia caused by phlegm-heat internal disturbance. The subgroup analyzed the effect of HLWDD after different treatment courses, and compared the therapeutic effects of HLWDD alone and HLWDD combined with western medicine.</p></div><div><h3>Results</h3><p>Twenty-seven randomized controlled trials were finally included, with a total of 2 395 patients. The results of the meta-analysis showed that the curative effect of HLWDD alone or combined with the western medicine group was better than that of the western medicine group [RR = 1.14, 95% CI (1.06, 1.22), <em>P</em> = 0.000]. The PSQI score [SMD = – 0.31, 95% CI (– 0.42, – 0.20), <em>P</em> = 0.000], TCM syndrome score [SMD = – 0.40, 95% CI (– 0.67, – 0.12), <em>P</em> = 0.005], and adverse reaction rate [RR = 0.21, 95% CI (0.15, 0.29), <em>P</em> = 0.000] of HLWDD alone or combined with western medicine group were significantly reduced compared with the western medicine group. The subgroup’s analysis showed that the curative effect of HLWDD alone or combined with western medicine group of 4 weeks treatment course was better than that of the western medicine group [RR = 1.14, 95% CI (1.03, 1.26), <em>P</em> < 0.05]. The TCM syndrome score of HLWDD alone or combined with the western medicine group of 4 weeks treatment course decreased more obviously than that of the western medicine group [SMD = – 0.60, 95% CI (– 0.96, – 0.25), <em>P</em> < 0.05]. There were no significant differences between HLWDD alone or combined with western medicine group and western medicine group with different treatment courses based on PSQI score and adverse reaction rate. Based on the effective rate, the comparison between the HLWDD alone group and the western medicine group [RR = 1.09, 95% CI (1.00, – 1.20) <em>P</em> < 0.05], and between the HLWDD combined with western medicine group and the western medicine group [RR = 1.15, 95% CI (1.03, 1.29), <em>P</em> < 0.05] was the same. PSQI score [SMD = – 0.44, 95% CI (– 0.59, – 0.30), <em>P</em> < 0.05] and TCM syndrome score [SMD = – 1.10, 95% CI (– 1.59, – 0.61)","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258937772200057X/pdfft?md5=b4037fcab80192ff0f895d592daddcb4&pid=1-s2.0-S258937772200057X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91103785","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}
To explore the anti-inflammatory phytoconstituents from various plant sources as tumour necrosis factor-α (TNF-α)-inhibitor, a mediator involved in the inflammatory disorder, by in silico molecular docking.
Methods
Based on previous findings, we performed the in silico assessment of anti-inflammatory phytoconstituents from different medicinal plants to understand their binding patterns against TNF-α (PDB ID: 6OP0) using AutoDock Vina. Molecular docking was performed by setting a grid box (25 × 25 × 25) Å centered at [– 12.817 × (– 1.618) × 19.009] Å with 0.375 Å of grid spacing. Furthermore, Discovery Studio Client 2020 program was utilized to assess two- and three-dimensional (2D and 3D) hydrogen-bond interactions concerning an amino acid of target and ligand. Physicochemical properties were reported using the Lipinski’s rule and SwissADME database to support the in silico findings. Results From the selected medicinal plants, more than 200 phytocompounds were screened against TNF-α protein with binding scores in the range of – 12.3 to – 2.5 kcal/mol. Amongst them, emodin, aloe-emodin, pongamol, purpuritenin, semiglabrin, ellagic acid, imperatorin, α-tocopherol, and octanorcucurbitacin A showed good binding affinity as – 10.6, – 10.0, – 10.5, – 10.1, – 11.2, – 10.3, – 10.1, – 10.1, and – 10.0 kcal/mol, respectively. Also, the absorption, distribution, metabolism, excretion, and toxicology (ADMET) profiles were well within acceptable limits.
Conclusion
Based on our preliminary findings, we conclude that the selected phytoconstituents have the potential to be good anti-inflammatory candidates by inhibiting the TNF-α target. These compounds can be further optimized and validated as new therapeutic components to develop more effective and safe anti-inflammatory drugs.
{"title":"Exploring the phytoconstituents targeting TNF-α as potential lead compounds to treat inflammatory diseases: an in-silico approach","authors":"Sumit Arora (Assistant Professor) , Pallavi Rushiya , Kalpana Tirpude , Nidhi Sapkal , Subhash Yende , Abhay Ittadwar , Sapan Shah","doi":"10.1016/j.dcmed.2022.10.003","DOIUrl":"10.1016/j.dcmed.2022.10.003","url":null,"abstract":"<div><h3>Objective</h3><p>To explore the anti-inflammatory phytoconstituents from various plant sources as tumour necrosis factor-<em>α</em> (TNF-<em>α</em>)-inhibitor, a mediator involved in the inflammatory disorder, by <em>in silico</em> molecular docking.</p></div><div><h3>Methods</h3><p>Based on previous findings, we performed the <em>in silico</em> assessment of anti-inflammatory phytoconstituents from different medicinal plants to understand their binding patterns against TNF-<em>α</em> (PDB ID: 6OP0) using AutoDock Vina. Molecular docking was performed by setting a grid box (25 × 25 × 25) Å centered at [– 12.817 × (– 1.618) × 19.009] Å with 0.375 Å of grid spacing. Furthermore, Discovery Studio Client 2020 program was utilized to assess two- and three-dimensional (2D and 3D) hydrogen-bond interactions concerning an amino acid of target and ligand. Physicochemical properties were reported using the Lipinski’s rule and SwissADME database to support the <em>in silico</em> findings. <strong>Results</strong> From the selected medicinal plants, more than 200 phytocompounds were screened against TNF-<em>α</em> protein with binding scores in the range of – 12.3 to – 2.5 kcal/mol. Amongst them, emodin, aloe-emodin, pongamol, purpuritenin, semiglabrin, ellagic acid, imperatorin, <em>α</em>-tocopherol, and octanorcucurbitacin A showed good binding affinity as – 10.6, – 10.0, – 10.5, – 10.1, – 11.2, – 10.3, – 10.1, – 10.1, and – 10.0 kcal/mol, respectively. Also, the absorption, distribution, metabolism, excretion, and toxicology (ADMET) profiles were well within acceptable limits.</p></div><div><h3>Conclusion</h3><p>Based on our preliminary findings, we conclude that the selected phytoconstituents have the potential to be good anti-inflammatory candidates by inhibiting the TNF-<em>α</em> target. These compounds can be further optimized and validated as new therapeutic components to develop more effective and safe anti-inflammatory drugs.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000507/pdfft?md5=bed53cdb18a06e3212cb381db71f90a5&pid=1-s2.0-S2589377722000507-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84494860","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}
To propose two novel methods based on deep learning for computer-aided tongue diagnosis, including tongue image segmentation and tongue color classification, improving their diagnostic accuracy.
Methods
LabelMe was used to label the tongue mask and Snake model to optimize the labeling results. A new dataset was constructed for tongue image segmentation. Tongue color was marked to build a classified dataset for network training. In this research, the Inception + Atrous Spatial Pyramid Pooling (ASPP) + UNet (IAUNet) method was proposed for tongue image segmentation, based on the existing UNet, Inception, and atrous convolution. Moreover, the Tongue Color Classification Net (TCCNet) was constructed with reference to ResNet, Inception, and Triple-Loss. Several important measurement indexes were selected to evaluate and compare the effects of the novel and existing methods for tongue segmentation and tongue color classification. IAUNet was compared with existing mainstream methods such as UNet and DeepLabV3+ for tongue segmentation. TCCNet for tongue color classification was compared with VGG16 and GoogLeNet.
Results
IAUNet can accurately segment the tongue from original images. The results showed that the Mean Intersection over Union (MIoU) of IAUNet reached 96.30%, and its Mean Pixel Accuracy (MPA), mean Average Precision (mAP), F1-Score, G-Score, and Area Under Curve (AUC) reached 97.86%, 99.18%, 96.71%, 96.82%, and 99.71%, respectively, suggesting IAUNet produced better segmentation than other methods, with fewer parameters. Triplet-Loss was applied in the proposed TCCNet to separate different embedded colors. The experiment yielded ideal results, with F1-Score and mAP of the TCCNet reached 88.86% and 93.49%, respectively.
Conclusion
IAUNet based on deep learning for tongue segmentation is better than traditional ones. IAUNet can not only produce ideal tongue segmentation, but have better effects than those of PSPNet, SegNet, UNet, and DeepLabV3+, the traditional networks. As for tongue color classification, the proposed network, TCCNet, had better F1-Score and mAP values as compared with other neural networks such as VGG16 and GoogLeNet.
{"title":"Tongue image segmentation and tongue color classification based on deep learning","authors":"L.I.U. Wei, C.H.E.N. Jinming, L.I.U. Bo, H.U. Wei, W.U. Xingjin, Z.H.O.U. Hui","doi":"10.1016/j.dcmed.2022.10.002","DOIUrl":"10.1016/j.dcmed.2022.10.002","url":null,"abstract":"<div><h3>Objective</h3><p>To propose two novel methods based on deep learning for computer-aided tongue diagnosis, including tongue image segmentation and tongue color classification, improving their diagnostic accuracy.</p></div><div><h3>Methods</h3><p>LabelMe was used to label the tongue mask and Snake model to optimize the labeling results. A new dataset was constructed for tongue image segmentation. Tongue color was marked to build a classified dataset for network training. In this research, the Inception + Atrous Spatial Pyramid Pooling (ASPP) + UNet (IAUNet) method was proposed for tongue image segmentation, based on the existing UNet, Inception, and atrous convolution. Moreover, the Tongue Color Classification Net (TCCNet) was constructed with reference to ResNet, Inception, and Triple-Loss. Several important measurement indexes were selected to evaluate and compare the effects of the novel and existing methods for tongue segmentation and tongue color classification. IAUNet was compared with existing mainstream methods such as UNet and DeepLabV3+ for tongue segmentation. TCCNet for tongue color classification was compared with VGG16 and GoogLeNet.</p></div><div><h3>Results</h3><p>IAUNet can accurately segment the tongue from original images. The results showed that the Mean Intersection over Union (MIoU) of IAUNet reached 96.30%, and its Mean Pixel Accuracy (MPA), mean Average Precision (mAP), F1-Score, G-Score, and Area Under Curve (AUC) reached 97.86%, 99.18%, 96.71%, 96.82%, and 99.71%, respectively, suggesting IAUNet produced better segmentation than other methods, with fewer parameters. Triplet-Loss was applied in the proposed TCCNet to separate different embedded colors. The experiment yielded ideal results, with F1-Score and mAP of the TCCNet reached 88.86% and 93.49%, respectively.</p></div><div><h3>Conclusion</h3><p>IAUNet based on deep learning for tongue segmentation is better than traditional ones. IAUNet can not only produce ideal tongue segmentation, but have better effects than those of PSPNet, SegNet, UNet, and DeepLabV3+, the traditional networks. As for tongue color classification, the proposed network, TCCNet, had better F1-Score and mAP values as compared with other neural networks such as VGG16 and GoogLeNet.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000490/pdfft?md5=e87638a6b039111b86fa36dba4769d4f&pid=1-s2.0-S2589377722000490-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90909801","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}
Pub Date : 2022-06-01DOI: 10.1016/j.dcmed.2022.06.001
Zhao Shuting , Zhong Yanmei , Hu Yuanzhang , Sun Tao , Wu Chunjie , Wen Chuanbiao
Objective
This study proposes to visually review the current situation and progress of standards sets by the International Organization for Standardization/Technical Committee on Traditional Chinese Medicine (ISO/TC 249). The review aims to explore the development strategies of the standards, which will exhibit the considerable impact on the economy, trade and exchanges, and cooperation in the area of traditional Chinese medicine (TCM).
Methods
ISO/TC 249 standards were searched on the ISO website, and their title, proposed time, current stage, scope, and classification were obtained for further summarization. Gephi was utilized to portray the co-occurrence network graph of the ISO/TC 249 standards subject.
Results
In ISO/TC 249, there were 116 standards, including 81 published standards and 35 developing standards by April 30, 2022. Two withdrawal standards were published after revision, which were not counted in the total standards. The number of published standards has been increasing since the first standard was published in 2014, whose title was “Sterile acupuncture needles for single use”. Among these standards, 17.24% (20/116) standards were in review, 56.03% (65/116) in publication, 3.45% (4/116) in approval, 5.17% (6/116) in enquiry, 3.45% (4/116) in committee, and 14.66% (17/116) in preparation, respectively. With 116 standards, most of the research focused on the medicament, as its classification of the International Classification for Standards (ICS) showed the proportion reaching 49.54%. The network analysis data revealed that the top five most frequent words were “materials” “root” “requirements” “products” and “system”, after removing the noise data, such as prepositions, conjunctions, and pronouns. Additionally, the word “system” co-exists with the terms “computerized” “coding” “image” “tongue” and “analysis”; the word “requirement” co-exists with “manufacturing” “decoction” “process” and “materials”; whereas the word “devices” co-exists with “pulse” “electric” “skin” and “measurement”.
Conclusion
With the increased diversification and complexity of problems, the development of standards is also oriented to multidisciplinary fields to cultivate the interdisciplinary talents, and especially the international standardization talents of compound TCM. Multi-angle analysis, formulation, and demonstration of standards, in line with industry needs in different disciplines, enhance the availability of standards and the ability to serve the industry.
{"title":"Visualization analysis of the international standard ISO/TC 249 for traditional Chinese medicine","authors":"Zhao Shuting , Zhong Yanmei , Hu Yuanzhang , Sun Tao , Wu Chunjie , Wen Chuanbiao","doi":"10.1016/j.dcmed.2022.06.001","DOIUrl":"10.1016/j.dcmed.2022.06.001","url":null,"abstract":"<div><h3>Objective</h3><p>This study proposes to visually review the current situation and progress of standards sets by the International Organization for Standardization/Technical Committee on Traditional Chinese Medicine (ISO/TC 249). The review aims to explore the development strategies of the standards, which will exhibit the considerable impact on the economy, trade and exchanges, and cooperation in the area of traditional Chinese medicine (TCM).</p></div><div><h3>Methods</h3><p>ISO/TC 249 standards were searched on the ISO website, and their title, proposed time, current stage, scope, and classification were obtained for further summarization. Gephi was utilized to portray the co-occurrence network graph of the ISO/TC 249 standards subject.</p></div><div><h3>Results</h3><p>In ISO/TC 249, there were 116 standards, including 81 published standards and 35 developing standards by April 30, 2022. Two withdrawal standards were published after revision, which were not counted in the total standards. The number of published standards has been increasing since the first standard was published in 2014, whose title was “Sterile acupuncture needles for single use”. Among these standards, 17.24% (20/116) standards were in review, 56.03% (65/116) in publication, 3.45% (4/116) in approval, 5.17% (6/116) in enquiry, 3.45% (4/116) in committee, and 14.66% (17/116) in preparation, respectively. With 116 standards, most of the research focused on the medicament, as its classification of the International Classification for Standards (ICS) showed the proportion reaching 49.54%. The network analysis data revealed that the top five most frequent words were “materials” “root” “requirements” “products” and “system”, after removing the noise data, such as prepositions, conjunctions, and pronouns. Additionally, the word “system” co-exists with the terms “computerized” “coding” “image” “tongue” and “analysis”; the word “requirement” co-exists with “manufacturing” “decoction” “process” and “materials”; whereas the word “devices” co-exists with “pulse” “electric” “skin” and “measurement”.</p></div><div><h3>Conclusion</h3><p>With the increased diversification and complexity of problems, the development of standards is also oriented to multidisciplinary fields to cultivate the interdisciplinary talents, and especially the international standardization talents of compound TCM. Multi-angle analysis, formulation, and demonstration of standards, in line with industry needs in different disciplines, enhance the availability of standards and the ability to serve the industry.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000283/pdfft?md5=159f851dc9afcb3f0eae9ea80235dcf1&pid=1-s2.0-S2589377722000283-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77868742","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}
Pub Date : 2022-06-01DOI: 10.1016/j.dcmed.2022.06.010
Ling Jia , Liu Jian , Jin Shi , Zou Manshu , Jiang Yajie , Wang Yuhong
Objective
To explore the protective effects and mechanism of Zuogui Jiangtang Jieyu Formula (左归降糖解郁方, ZGJTJYF) on hippocampal neurons in rats of diabetes complicated with depression (DD) via the TRP/KYN metabolic pathway.
Methods
(i) In vivo experiments: 60 specified pathogen free (SPF) grade male Sprague-Dawley (SD) rats were randomly divided into six groups with 10 rats in each groups: control, DD model, positive (1.8 mg/kg fluoxetine + 0.18 g/kg metformin), high-dose ZGJTJYF (ZGJTJYF-H, 40.500 g/kg ZGJTJYF), middle-dose ZGJTJYF (ZGJTJYF-M, 20.250 g/kg ZGJTJYF), and low-dose ZGJTJYF (ZGJTJYF-L, 10.125 g/kg ZGJTJYF) groups. Except for the control group, other groups were established DD model by high-fat emulsion intake with single tail vein streptozotocin (STZ) and four weeks of chronic unpredictable mild stress (CUMS). All drug administration groups were treated by gavage during CUMS modeling, and the control and model groups were given equal amount of distilled water. After four weeks, the serum levels of blood glucose and glycosylated hemoglobin were measured to determine the hypoglycemic effect of ZGJTJYF. Moreover, the open field test and Morris water maze test were performed to evaluate the antidepressant effect of ZGJTJYF. Changes in 5-hydroxytryptamine (5-HT) level were detected via high-performance liquid chromatography with electrochemical detection (HPLC-ECD); the levels of tryptophan (TRP), kynurenine (KYN), and indoleamine 2,3-dioxygenase (IDO) in the hippocampus were detected using enzyme-linked immunosorbent assay (ELISA); the protein expression levels of synaptophysin (SYN) and postsynaptic density material-95 (PSD-95) were detected via immunohistochemistry (IHC); and the protein expression levels of N-methyl-D-aspartate receptor (NR) 2A and NR2B were detected using Western blot. (ii) In vitro experiments: five SPF grade SD pregnant rats (E16 – 18) were used to obtain primary hippocampal neurons (Ne), six SD new-born rats were used to collected primary astrocytes (As) and microglia (MG), and to establish a Ne-As-MG co-culture system. All co-culture systems were divided into six groups: control (PBS), model [150 mmol/L glucose + 200 μmol/L corticosterone (G&P) + PBS], blank (G&P + blank serum), positive (G&P + positive drug-containing serum), ZGJTJYF (G&P + ZGJTJYF serum), and 1-methyl-D-tryptophan (1-MT, IDO inhibitor) (G&P + 1-MT) groups. After 18 h of intervention by corresponding treatment, immunofluorescence was used to analyze the protein expression levels of SYN, PSD-95, NR2A, and NR2B; ELISA was performed to measure the levels of interleukin (IL)-1β, IL-6, tumor necrosis factor (TNF)-α , and TRP/KYN metabolic pathway-related factors [TRP, KYN, kynurenine acid (KYNA), quinolinic acid (QUIN)].
Results
(i) In vivo experimental<italic/> results showed that ZGJTJYF-M and ZGJTJYF-L significantl
{"title":"Protective effects of Zuogui Jiangtang Jieyu Formula on hippocampal neurons in rats of diabetes complicated with depression via the TRP/KYN metabolic pathway","authors":"Ling Jia , Liu Jian , Jin Shi , Zou Manshu , Jiang Yajie , Wang Yuhong","doi":"10.1016/j.dcmed.2022.06.010","DOIUrl":"10.1016/j.dcmed.2022.06.010","url":null,"abstract":"<div><h3>Objective</h3><p>To explore the protective effects and mechanism of Zuogui Jiangtang Jieyu Formula (左归降糖解郁方, ZGJTJYF) on hippocampal neurons in rats of diabetes complicated with depression (DD) via the TRP/KYN metabolic pathway.</p></div><div><h3>Methods</h3><p>(i) <em>In vivo</em> experiments: 60 specified pathogen free (SPF) grade male Sprague-Dawley (SD) rats were randomly divided into six groups with 10 rats in each groups: control, DD model, positive (1.8 mg/kg fluoxetine + 0.18 g/kg metformin), high-dose ZGJTJYF (ZGJTJYF-H, 40.500 g/kg ZGJTJYF), middle-dose ZGJTJYF (ZGJTJYF-M, 20.250 g/kg ZGJTJYF), and low-dose ZGJTJYF (ZGJTJYF-L, 10.125 g/kg ZGJTJYF) groups. Except for the control group, other groups were established DD model by high-fat emulsion intake with single tail vein streptozotocin (STZ) and four weeks of chronic unpredictable mild stress (CUMS). All drug administration groups were treated by gavage during CUMS modeling, and the control and model groups were given equal amount of distilled water. After four weeks, the serum levels of blood glucose and glycosylated hemoglobin were measured to determine the hypoglycemic effect of ZGJTJYF. Moreover, the open field test and Morris water maze test were performed to evaluate the antidepressant effect of ZGJTJYF. Changes in 5-hydroxytryptamine (5-HT) level were detected via high-performance liquid chromatography with electrochemical detection (HPLC-ECD); the levels of tryptophan (TRP), kynurenine (KYN), and indoleamine 2,3-dioxygenase (IDO) in the hippocampus were detected using enzyme-linked immunosorbent assay (ELISA); the protein expression levels of synaptophysin (SYN) and postsynaptic density material-95 (PSD-95) were detected via immunohistochemistry (IHC); and the protein expression levels of N-methyl-D-aspartate receptor (NR) 2A and NR2B were detected using Western blot. (ii) <em>In vitro</em> experiments: five SPF grade SD pregnant rats (E16 – 18) were used to obtain primary hippocampal neurons (Ne), six SD new-born rats were used to collected primary astrocytes (As) and microglia (MG), and to establish a Ne-As-MG co-culture system. All co-culture systems were divided into six groups: control (PBS), model [150 mmol/L glucose + 200 μmol/L corticosterone (G&P) + PBS], blank (G&P + blank serum), positive (G&P + positive drug-containing serum), ZGJTJYF (G&P + ZGJTJYF serum), and 1-methyl-D-tryptophan (1-MT, IDO inhibitor) (G&P + 1-MT) groups. After 18 h of intervention by corresponding treatment, immunofluorescence was used to analyze the protein expression levels of SYN, PSD-95, NR2A, and NR2B; ELISA was performed to measure the levels of interleukin (IL)-1<em>β</em>, IL-6, tumor necrosis factor (TNF)-<em>α</em> , and TRP/KYN metabolic pathway-related factors [TRP, KYN, kynurenine acid (KYNA), quinolinic acid (QUIN)].</p></div><div><h3>Results</h3><p>(i) <em>In vivo</em> experimental<italic/> results showed that ZGJTJYF-M and ZGJTJYF-L significantl","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000374/pdfft?md5=9524e234424729d4ec8a3d5b26267bbb&pid=1-s2.0-S2589377722000374-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83927012","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}
Pub Date : 2022-06-01DOI: 10.1016/j.dcmed.2022.06.006
Zhou Xiaoying , Yang Shengwen , Ou Jintao , Wang Zhuo , Wang Guangrong , Luo Yue
Objective
To study the influencing factors of blood stasis constitution and provide a basis for treating blood stasis-related diseases by traditional Chinese medicine (TCM) constitution identification.
Methods
Data were collected using the self-developed TCM constitution identification platform based on B/S model by the project team. The obtained data were divided into blood stasis constitution and normal constitution groups. The differences of the categorical type influencing factors (gender, birth mode, feeding mode within four months of birth, family history, marital status, eating habits, sleeping habits, exercise habits, emotional state, stress situation, and living environment) and the quantitative type influencing factors (sleep time, age, and mother's age at birth) on the constitution of the two groups were analyzed. In the single-factor analysis, the Pearson's chi-square test was selected for the categorical variable, and the independent sample t test and Mann-Whitney U nonparametric test were selected for the quantitative variables according to whether they conformed to the positive-terrestrial distribution; the binary logistic stepwise regression method was selected for the multi-factor analysis.
Results
The data of 318 cases were collected from the TCM composition identification platform, and 159 cases of blood stasis constitution were used as the experimental group and 159 cases of normal constitution were used as the control group. The Pearson's chi-square test yielded significant differences (P < 0.05) in the effects of gender, pressure situation, family history, living environment, emotional state, exercise habits, and dietary habits on blood stasis constitution. The independent samples t test yielded differences in sleep duration between the blood stasis constitution and normal constitution populations (P < 0.05), which meant sleep duration of the blood stasis constitution population was less than that of the normal constitution population. The Mann-Whitney U nonparametric test results accepted the original hypothesis that there was no difference in the distribution of age and mother’s age at birth across constitution types (P > 0.05). Binary logistic regression analysis showed that gender, family history, marital status, living environment, exercise habits, and emotional state were risk factors for blood stasis constitution (P < 0.05).
Conclusion
Gender, family history, living environment, emotional state, and exercise habits were significant influencing factors of blood stasis constitution. Blood stasis constitution populations can pay more attention to these influencing factors in their daily life for the prevention and reconciliation of blood stasis constitution.
{"title":"Screening influencing factors of blood stasis constitution in traditional Chinese medicine","authors":"Zhou Xiaoying , Yang Shengwen , Ou Jintao , Wang Zhuo , Wang Guangrong , Luo Yue","doi":"10.1016/j.dcmed.2022.06.006","DOIUrl":"10.1016/j.dcmed.2022.06.006","url":null,"abstract":"<div><h3>Objective</h3><p>To study the influencing factors of blood stasis constitution and provide a basis for treating blood stasis-related diseases by traditional Chinese medicine (TCM) constitution identification.</p></div><div><h3>Methods</h3><p>Data were collected using the self-developed TCM constitution identification platform based on B/S model by the project team. The obtained data were divided into blood stasis constitution and normal constitution groups. The differences of the categorical type influencing factors (gender, birth mode, feeding mode within four months of birth, family history, marital status, eating habits, sleeping habits, exercise habits, emotional state, stress situation, and living environment) and the quantitative type influencing factors (sleep time, age, and mother's age at birth) on the constitution of the two groups were analyzed. In the single-factor analysis, the Pearson's chi-square test was selected for the categorical variable, and the independent sample <em>t</em> test and Mann-Whitney U nonparametric test were selected for the quantitative variables according to whether they conformed to the positive-terrestrial distribution; the binary logistic stepwise regression method was selected for the multi-factor analysis.</p></div><div><h3>Results</h3><p>The data of 318 cases were collected from the TCM composition identification platform, and 159 cases of blood stasis constitution were used as the experimental group and 159 cases of normal constitution were used as the control group. The Pearson's chi-square test yielded significant differences (<em>P</em> < 0.05) in the effects of gender, pressure situation, family history, living environment, emotional state, exercise habits, and dietary habits on blood stasis constitution. The independent samples <em>t</em> test yielded differences in sleep duration between the blood stasis constitution and normal constitution populations (<em>P</em> < 0.05), which meant sleep duration of the blood stasis constitution population was less than that of the normal constitution population. The Mann-Whitney U nonparametric test results accepted the original hypothesis that there was no difference in the distribution of age and mother’s age at birth across constitution types (<em>P</em> > 0.05). Binary logistic regression analysis showed that gender, family history, marital status, living environment, exercise habits, and emotional state were risk factors for blood stasis constitution (<em>P</em> < 0.05).</p></div><div><h3>Conclusion</h3><p>Gender, family history, living environment, emotional state, and exercise habits were significant influencing factors of blood stasis constitution. Blood stasis constitution populations can pay more attention to these influencing factors in their daily life for the prevention and reconciliation of blood stasis constitution.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000337/pdfft?md5=fbab4fbab72bf52951db93fd3b2de3d0&pid=1-s2.0-S2589377722000337-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73889084","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}
Pub Date : 2022-06-01DOI: 10.1016/j.dcmed.2022.06.009
Ankul Singh S, Chitra Vellapandian, Gowri Krishna
Objective
Nephrolithiasis is a common urological disease. This study aims to evaluate the preventive and therapeutic effects of hydro-alcoholic extract of Aerva lanata (L.) roots (HAEAL) on ethylene glycol-induced nephrolithiasis in rats.
Methods
Fifty grams of shade-dried coarsely powdered Aerva lanata (L.) root was successively extracted with organic solvents in increasing order of polarity [petroleum ether (60 −80 °C), chloroform, and ethanol] using a Soxhlet apparatus, and then concentrated. Physical tests including nature, color, odor, and texture were performed on the herbal suspension. In vitro nephrolithiasis assessment was performed by nucleation assay, aggregation assay, and crystal growth assay. Thirty adult male Wistar albino rats were randomly divided into five groups (six rats in each group). Group 1: negative control group without induction or treatment till day 28. Group 2: positive control group receiving a daily oral solution of 0.75% ethylene glycol till day 14, and mixed with distilled water till day 28. Group 3: standard group receiving a daily oral solution of 0.75% ethylene glycol till day 14 and Cystone (750 mg/kg) from day 15 to day 28. Group 4: low dose HAEAL group receiving a daily oral solution of 0.75% ethylene glycol till day 14, and 400 mg/kg HAEAL from day 15 to day 28 (1 mL per day). Group 5: high dose HAEAL group receiving a daily oral solution of 0.75% ethylene glycol till day 14, and 800 mg/kg HAEAL from day 15 to day 28 (1 mL per day). Urine (urine volume, pH value, appearance, odor, and turbidity) examination and serum test were performed. On day 29, the kidneys were dissected, and histopathology examination was performed to determine the degree of tubular injury.
Results
The suspension showed stability and aroma with no turbidity at room temperature. The suspension did not show changes in color and odor until day 3, indicating that the preparation was stable for 72 h. Body weight decreased in the positive control group indicating stone formation and changes in water intake. Both standard and HAEAL treatments restored the body weight to normal levels after treatment, indicating the beneficial effects of the treatment. Histopathological examination revealed no significant findings in the negative control group, whereas the positive control group showed inflammation in the kidney parenchyma. Compared with positive control group, there was increase in urine volume and excretion of urinary constituents such as calcium and oxalate (P < 0.01) as well as improved clearance rate (P < 0.05) in HAEAL treatment groups, in addition, the urine pH value of HAEAL groups was increased.
Conclusion
HAEAL reduced nephrolithiasis formation and had a diuretic effect, which could be used to promote the expulsion of stones. Further studies are needed to enhance the stability of the suspension
{"title":"Preventive and therapeutic effects of Aerva lanata (L.) extract on ethylene glycol-induced nephrolithiasis in male Wistar albino rats","authors":"Ankul Singh S, Chitra Vellapandian, Gowri Krishna","doi":"10.1016/j.dcmed.2022.06.009","DOIUrl":"10.1016/j.dcmed.2022.06.009","url":null,"abstract":"<div><h3>Objective</h3><p>Nephrolithiasis is a common urological disease. This study aims to evaluate the preventive and therapeutic effects of hydro-alcoholic extract of <em>Aerva lanata</em> (L.) roots (HAEAL) on ethylene glycol-induced nephrolithiasis in rats.</p></div><div><h3>Methods</h3><p>Fifty grams of shade-dried coarsely powdered <em>Aerva lanata</em> (L.) root was successively extracted with organic solvents in increasing order of polarity [petroleum ether (60 −80 °C), chloroform, and ethanol] using a Soxhlet apparatus, and then concentrated. Physical tests including nature, color, odor, and texture were performed on the herbal suspension. <em>In vitro</em> nephrolithiasis assessment was performed by nucleation assay, aggregation assay, and crystal growth assay. Thirty adult male Wistar albino rats were randomly divided into five groups (six rats in each group). Group 1: negative control group without induction or treatment till day 28. Group 2: positive control group receiving a daily oral solution of 0.75% ethylene glycol till day 14, and mixed with distilled water till day 28. Group 3: standard group receiving a daily oral solution of 0.75% ethylene glycol till day 14 and Cystone (750 mg/kg) from day 15 to day 28. Group 4: low dose HAEAL group receiving a daily oral solution of 0.75% ethylene glycol till day 14, and 400 mg/kg HAEAL from day 15 to day 28 (1 mL per day). Group 5: high dose HAEAL group receiving a daily oral solution of 0.75% ethylene glycol till day 14, and 800 mg/kg HAEAL from day 15 to day 28 (1 mL per day). Urine (urine volume, pH value, appearance, odor, and turbidity) examination and serum test were performed. On day 29, the kidneys were dissected, and histopathology examination was performed to determine the degree of tubular injury.</p></div><div><h3>Results</h3><p>The suspension showed stability and aroma with no turbidity at room temperature. The suspension did not show changes in color and odor until day 3, indicating that the preparation was stable for 72 h. Body weight decreased in the positive control group indicating stone formation and changes in water intake. Both standard and HAEAL treatments restored the body weight to normal levels after treatment, indicating the beneficial effects of the treatment. Histopathological examination revealed no significant findings in the negative control group, whereas the positive control group showed inflammation in the kidney parenchyma. Compared with positive control group, there was increase in urine volume and excretion of urinary constituents such as calcium and oxalate (<em>P</em> < 0.01) as well as improved clearance rate (<em>P</em> < 0.05) in HAEAL treatment groups, in addition, the urine pH value of HAEAL groups was increased.</p></div><div><h3>Conclusion</h3><p>HAEAL reduced nephrolithiasis formation and had a diuretic effect, which could be used to promote the expulsion of stones. Further studies are needed to enhance the stability of the suspension","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000362/pdfft?md5=eb02f29ed4c7b5deaf049b0536fafc2b&pid=1-s2.0-S2589377722000362-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76024554","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}
The Corona Virus Disease 2019 (COVID-19) pandemic has taught us many valuable lessons regarding the importance of our physical and mental health. Even with so many technological advancements, we still lag in developing a system that can fully digitalize the medical data of each individual and make it readily accessible for both the patient and health worker at any point in time. Moreover, there are also no ways for the government to identify the legitimacy of a particular clinic. This study merges modern technology with traditional approaches, thereby highlighting a scenario where artificial intelligence (AI) merges with traditional Chinese medicine (TCM), proposing a way to advance the conventional approaches. The main objective of our research is to provide a one-stop platform for the government, doctors, nurses, and patients to access their data effortlessly. The proposed portal will also check the doctors’ authenticity. Data is one of the most critical assets of an organization, so a breach of data can risk users' lives. Data security is of primary importance and must be prioritized. The proposed methodology is based on cloud computing technology which assures the security of the data and avoids any kind of breach. The study also accounts for the difficulties encountered in creating such an infrastructure in the cloud and overcomes the hurdles faced during the project, keeping enough room for possible future innovations. To summarize, this study focuses on the digitalization of medical data and suggests some possible ways to achieve it. Moreover, it also focuses on some related aspects like security and potential digitalization difficulties.
{"title":"MEDICLOUD: a holistic study on the digital evolution of medical data","authors":"Astha Modi , Nandish Bhayani , Samir Patel , Manan Shah","doi":"10.1016/j.dcmed.2022.06.002","DOIUrl":"10.1016/j.dcmed.2022.06.002","url":null,"abstract":"<div><p>The Corona Virus Disease 2019 (COVID-19) pandemic has taught us many valuable lessons regarding the importance of our physical and mental health. Even with so many technological advancements, we still lag in developing a system that can fully digitalize the medical data of each individual and make it readily accessible for both the patient and health worker at any point in time. Moreover, there are also no ways for the government to identify the legitimacy of a particular clinic. This study merges modern technology with traditional approaches, thereby highlighting a scenario where artificial intelligence (AI) merges with traditional Chinese medicine (TCM), proposing a way to advance the conventional approaches. The main objective of our research is to provide a one-stop platform for the government, doctors, nurses, and patients to access their data effortlessly. The proposed portal will also check the doctors’ authenticity. Data is one of the most critical assets of an organization, so a breach of data can risk users' lives. Data security is of primary importance and must be prioritized. The proposed methodology is based on cloud computing technology which assures the security of the data and avoids any kind of breach. The study also accounts for the difficulties encountered in creating such an infrastructure in the cloud and overcomes the hurdles faced during the project, keeping enough room for possible future innovations. To summarize, this study focuses on the digitalization of medical data and suggests some possible ways to achieve it. Moreover, it also focuses on some related aspects like security and potential digitalization difficulties.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000295/pdfft?md5=37687e3f14622b04692440a3032428dc&pid=1-s2.0-S2589377722000295-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72521891","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}
Pub Date : 2022-06-01DOI: 10.1016/j.dcmed.2022.06.007
Lei Xing , Chen Qingyao , Wang Xiaoping , Xu Jie , Gao Yazhen , Lin Qiaohong , Ye Zuwen , Zhang Jieyan , Si Qin , Wang Fang
Objective
To predict the molecular mechanism of Dihuang (Rehmanniae Radix) in the treatment of diabetic nephropathy (DN) complicated with depression based on network pharmacology.
Methods
The components of Dihuang (Rehmanniae Radix) were identified from the Integrated Pharmacology-based Research Platform of Traditional Chinese Medicine (TCMIP), Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and relevant literature. The component targets were detected by combining the SwissTargetPrediction and PubChem databases. Disease targets were collected from the Therapeutic Target Database (TTD), DisGeNET, and Ensembl databases with “diabetic nephropathy” and “depression” as keywords. The disease-component targets were mapped using Venny 2.1.0 to obtain potential targets. A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and Cytoscape 3.7.2. The co-expression genes of the key targets were collected based on the COXPRESdb 7.3. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for potential targets using R language. Target-component docking was verified and evaluated using Discovery Studio 4.5.
Results
According to the databases and literature reports, Dihuang (Rehmanniae Radix) contained 65 active components, and had 155 related targets for the treatment of DN complicated with depression. PPI screening showed that the key targets included serine/threonine protein kinase 1 (AKT1), signal transducer and activator transcription 3 (STAT3), interleukin 6 (IL-6), mitogen-activated protein kinase 1 (MAPK1), and vascular endothelial growth factor A (VEGFA), etc. GO enrichment analysis mainly involved biological processes, such as lipid metabolism, protein secretion regulation, cell homeostasis, and phosphatidylinositol 3 kinase activity. KEGG pathway enrichment analysis included the role of the AGE-RAGE signaling pathway in diabetic complements, insulin resistance (IR), neurotrophin signal path, Toll-like receptor signaling pathway, relaxin signaling pathway, epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), etc. Molecular docking showed that the target had high affinity for stachyose, manninotriose, verbascose, nigerose, etc.
Conclusion
Based on network parmacology, this study preliminarily predict the effects of Dihuang (Rehmanniae Radix) in treating DN complicated with depression by regulating inflammation, glucose metabolism, nution nerve, etc.
目的基于网络药理学，探讨地黄治疗糖尿病肾病(DN)合并抑郁的分子机制。方法通过中药综合药理学研究平台(TCMIP)、中药系统药理学数据库与分析平台(TCMSP)及相关文献对地黄进行成分鉴定。通过结合SwissTargetPrediction和PubChem数据库检测组件目标。从治疗靶点数据库(TTD)、DisGeNET和Ensembl数据库中收集疾病靶点，以“糖尿病肾病”和“抑郁症”为关键词。利用Venny 2.1.0软件绘制疾病组分靶点，获取潜在靶点。利用Search Tool for Retrieval of Interacting Genes/Proteins (STRING)数据库和Cytoscape 3.7.2构建蛋白-蛋白相互作用(PPI)网络。基于COXPRESdb 7.3收集关键靶点的共表达基因。利用R语言对潜在目标进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。使用Discovery Studio 4.5对目标组件对接进行验证和评估。结果根据数据库和文献报道，地黄中含有65种有效成分，155个相关靶点治疗DN合并抑郁症。PPI筛选显示，关键靶点包括丝氨酸/苏氨酸蛋白激酶1 (AKT1)、信号传导与激活因子转录3 (STAT3)、白细胞介素6 (IL-6)、丝裂原活化蛋白激酶1 (MAPK1)、血管内皮生长因子A (VEGFA)等。氧化石墨烯富集分析主要涉及脂质代谢、蛋白质分泌调节、细胞稳态和磷脂酰肌醇3激酶活性等生物学过程。KEGG通路富集分析包括AGE-RAGE信号通路在糖尿病补体、胰岛素抵抗(IR)、神经营养因子信号通路、toll样受体信号通路、松弛素信号通路、表皮生长因子受体酪氨酸激酶抑制剂(EGFR-TKIs)等中的作用。分子对接表明，该靶点对水苏糖、甘露糖、毛蕊糖、黑糖等具有较高的亲和力。结论基于网络药理学，本研究初步预测地黄通过调节炎症、糖代谢、神经等作用治疗DN合并抑郁。
{"title":"Mechanisms of Dihuang (Rehmanniae Radix) in treating diabetic nephropathy complicated with depression based on network pharmacology","authors":"Lei Xing , Chen Qingyao , Wang Xiaoping , Xu Jie , Gao Yazhen , Lin Qiaohong , Ye Zuwen , Zhang Jieyan , Si Qin , Wang Fang","doi":"10.1016/j.dcmed.2022.06.007","DOIUrl":"10.1016/j.dcmed.2022.06.007","url":null,"abstract":"<div><h3>Objective</h3><p>To predict the molecular mechanism of Dihuang (Rehmanniae Radix) in the treatment of diabetic nephropathy (DN) complicated with depression based on network pharmacology.</p></div><div><h3>Methods</h3><p>The components of Dihuang (Rehmanniae Radix) were identified from the Integrated Pharmacology-based Research Platform of Traditional Chinese Medicine (TCMIP), Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and relevant literature. The component targets were detected by combining the SwissTargetPrediction and PubChem databases. Disease targets were collected from the Therapeutic Target Database (TTD), DisGeNET, and Ensembl databases with “diabetic nephropathy” and “depression” as keywords. The disease-component targets were mapped using Venny 2.1.0 to obtain potential targets. A protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and Cytoscape 3.7.2. The co-expression genes of the key targets were collected based on the COXPRESdb 7.3. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed for potential targets using R language. Target-component docking was verified and evaluated using Discovery Studio 4.5.</p></div><div><h3>Results</h3><p>According to the databases and literature reports, Dihuang (Rehmanniae Radix) contained 65 active components, and had 155 related targets for the treatment of DN complicated with depression. PPI screening showed that the key targets included serine/threonine protein kinase 1 (AKT1), signal transducer and activator transcription 3 (STAT3), interleukin 6 (IL-6), mitogen-activated protein kinase 1 (MAPK1), and vascular endothelial growth factor A (VEGFA), etc. GO enrichment analysis mainly involved biological processes, such as lipid metabolism, protein secretion regulation, cell homeostasis, and phosphatidylinositol 3 kinase activity. KEGG pathway enrichment analysis included the role of the AGE-RAGE signaling pathway in diabetic complements, insulin resistance (IR), neurotrophin signal path, Toll-like receptor signaling pathway, relaxin signaling pathway, epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), etc. Molecular docking showed that the target had high affinity for stachyose, manninotriose, verbascose, nigerose, etc.</p></div><div><h3>Conclusion</h3><p>Based on network parmacology, this study preliminarily predict the effects of Dihuang (Rehmanniae Radix) in treating DN complicated with depression by regulating inflammation, glucose metabolism, nution nerve, etc.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000349/pdfft?md5=b93535bbe344dc0cef61d466afacc9d1&pid=1-s2.0-S2589377722000349-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76423545","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}
Pub Date : 2022-06-01DOI: 10.1016/j.dcmed.2022.06.004
Xu Ziyuan , Zhu Yao , Lu Ming , Zhou Zhongying
Objective
Based on intra-set correlation analysis, this paper deconstructs the clinical medical records of traditional Chinese medicine (TCM) Master ZHOU Zhongying in treating thyroid cancer, and analyzes the experience in “mechanism-syndrome-medicine-prescription” for thyroid cancer.
Methods
Through Medcase data processing platform, based on Frequent Pattern (FP)-Growth enhanced correlation analysis algorithm, the medical records of Professor ZHOU Zhongying for the treatment of thyroid cancer from June 1, 2001 to February 28, 2015 were analyzed within the set.
Results
This study involved 43 medical records, 43 patients, and 167 visits. After processing intra-set correlations, 28 groups of highly correlated symptoms, 21 groups of highly correlated tongue images, 10 groups of highly correlated pulse conditions, 28 groups of highly correlated pathogenesis, 34 groups of highly correlated herbs, and 26 groups of highly correlated western medicine diagnosis were selected. Professor ZHOU Zhongying treats thyroid cancer according to syndrome differentiation. Symptoms with more association rules included neck swelling, neck pain, cough, and dry mouth; tongue images with more association rules included dark purple tongue, dark red tongue, and fissured tongue; pulse conditions with more association rules were wiry pulse, thready pulse, small pulse, and slippery pulse; the pathogenesis with more association rules was phlegm and blood stasis, damp-heat accumulation, and impairment of both Qi and Yin; herbs with more association rules were Chaihu (Bupleuri Radix), Zeqi (Sun Euphoribiae Herb), and Tiandong (Asparagi Radix); western medicine diagnosis with more association rules included thyroid cancer, insomnia, and chronic gastritis.
Conclusion
Thyroid cancer mostly presents as deficiency in origin and excess in manifestations. The basic pathogenesis is phlegm and blood stasis, damp-heat accumulation, and impairment of both Qi and Yin, which are closely related to liver, kidney, and spleen. Professor ZHOU Zhongying adopts both attack and supplement approaches as the general treatment principle, with a strong emphasis on regulating Qi and relieving depression, eliminating phlegm and resolving stagnation, eliminating dampness and turbidity, clearing fire and destroying poison, moistening dryness and softening hard mass, invigorating Qi and nourishing Yin, and paying attention to nourishing liver and kidney, invigorating spleen and stomach, while protecting the heart and lungs.
{"title":"Intra-set correlation analysis of medical records of thyroid cancer treated by traditional Chinese medicine Master ZHOU Zhongying","authors":"Xu Ziyuan , Zhu Yao , Lu Ming , Zhou Zhongying","doi":"10.1016/j.dcmed.2022.06.004","DOIUrl":"10.1016/j.dcmed.2022.06.004","url":null,"abstract":"<div><h3>Objective</h3><p>Based on intra-set correlation analysis, this paper deconstructs the clinical medical records of traditional Chinese medicine (TCM) Master ZHOU Zhongying in treating thyroid cancer, and analyzes the experience in “mechanism-syndrome-medicine-prescription” for thyroid cancer.</p></div><div><h3>Methods</h3><p>Through Medcase data processing platform, based on Frequent Pattern (FP)-Growth enhanced correlation analysis algorithm, the medical records of Professor ZHOU Zhongying for the treatment of thyroid cancer from June 1, 2001 to February 28, 2015 were analyzed within the set.</p></div><div><h3>Results</h3><p>This study involved 43 medical records, 43 patients, and 167 visits. After processing intra-set correlations, 28 groups of highly correlated symptoms, 21 groups of highly correlated tongue images, 10 groups of highly correlated pulse conditions, 28 groups of highly correlated pathogenesis, 34 groups of highly correlated herbs, and 26 groups of highly correlated western medicine diagnosis were selected. Professor ZHOU Zhongying treats thyroid cancer according to syndrome differentiation. Symptoms with more association rules included neck swelling, neck pain, cough, and dry mouth; tongue images with more association rules included dark purple tongue, dark red tongue, and fissured tongue; pulse conditions with more association rules were wiry pulse, thready pulse, small pulse, and slippery pulse; the pathogenesis with more association rules was phlegm and blood stasis, damp-heat accumulation, and impairment of both Qi and Yin; herbs with more association rules were Chaihu (Bupleuri Radix), Zeqi (Sun Euphoribiae Herb), and Tiandong (Asparagi Radix); western medicine diagnosis with more association rules included thyroid cancer, insomnia, and chronic gastritis.</p></div><div><h3>Conclusion</h3><p>Thyroid cancer mostly presents as deficiency in origin and excess in manifestations. The basic pathogenesis is phlegm and blood stasis, damp-heat accumulation, and impairment of both Qi and Yin, which are closely related to liver, kidney, and spleen. Professor ZHOU Zhongying adopts both attack and supplement approaches as the general treatment principle, with a strong emphasis on regulating Qi and relieving depression, eliminating phlegm and resolving stagnation, eliminating dampness and turbidity, clearing fire and destroying poison, moistening dryness and softening hard mass, invigorating Qi and nourishing Yin, and paying attention to nourishing liver and kidney, invigorating spleen and stomach, while protecting the heart and lungs.</p></div>","PeriodicalId":33578,"journal":{"name":"Digital Chinese Medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589377722000313/pdfft?md5=f54a7d6b97a70f0fe9a030bda6f3142b&pid=1-s2.0-S2589377722000313-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77693558","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}
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