scholarly journals Review of systematic reviews and Meta-analyses investigating Traditional Chinese Medicine treatment for type 2 diabetes mellitus

2016 ◽  
Vol 36 (5) ◽  
pp. 555-563 ◽  
Author(s):  
Liu Meijun ◽  
Liu Zhicheng ◽  
Xu Bin ◽  
Zhang Wei ◽  
Cai Jianwei
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Systematic Reviews ◽  
Traditional Chinese Medicine Treatment ◽  
Meta Analyses ◽  
Chinese Medicine Treatment

scholarly journals Distribution of traditional Chinese medicine syndromes in type 2 diabetes mellitus with chronic heart failure

Medicine ◽  
2020 ◽  
Vol 99 (30) ◽  
pp. e21091
Author(s):  
Hui Wang ◽  
Jun Zhang ◽  
Chun-fang Shi ◽  
Jing Jia ◽  
Zhi-min Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Medicine ◽  
Chronic Heart Failure ◽  
Traditional Chinese Medicine

scholarly journals Integrated Analysis of the Mechanisms of Da-Chai-Hu Decoction in Type 2 Diabetes Mellitus by a Network Pharmacology Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-21 ◽  
Author(s):  
Beida Ren ◽  
Ling Tan ◽  
Yiliang Xiong ◽  
Wenting Ji ◽  
Jie Mu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Network Pharmacology ◽  
Integrated Analysis ◽  
Biological Processes ◽  
Active Components

Background. The incidence of type 2 diabetes mellitus (T2DM) has increased year by year, which not only seriously affects people’s quality of life, but also imposes a heavy economic burden on the family, society, and country. Currently, the pathogenesis, diagnosis, and treatment of T2DM are still unclear. Therefore, exploration of a precise multitarget treatment strategy is urgent. Here, we attempt to screen out the active components, effective targets, and functional pathways of therapeutic drugs through network pharmacology with taking advantages of traditional Chinese medicine (TCM) formulas for multitarget holistic treatment of diseases to clarify the potential therapeutic mechanism of TCM formulas and provide a systematic and clear thought for T2DM treatment. Methods. First, we screened the active components of Da-Chai-Hu Decoction (DCHD) by absorption, distribution, metabolism, excretion, and toxicity (ADME/T) calculation. Second, we predicted and screened the active components of DCHD and its therapeutic targets for T2DM relying on the Traditional Chinese Medicine Systems Pharmacology Analysis Platform (TCMSP database) and Text Mining Tool (GoPubMed database), while using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) to obtain T2DM targets. Third, we constructed a network of the active component-target, target-pathway of DCHD using Cytoscape software (http://cytoscape.org/,ver.3.5.1) and then analyzed gene function, related biological processes, and signal pathways through the DAVID database. Results. We screened 77 active components from 1278 DCHD components and 116 effective targets from 253 ones. After matching the targets of T2DM, we obtained 38 important targets and 7 core targets were selected through further analysis. Through enrichment analysis, we found that these important targets were mainly involved in many biological processes such as oxidative stress, inflammatory reaction, and apoptosis. After analyzing the relevant pathways, the synthetic pathway for the treatment of T2DM was obtained, which provided a diagnosis-treatment idea for DCHD in the treatment of T2DM. Conclusions. This article reveals the mechanism of DCHD in the treatment of T2DM related to inflammatory response and apoptosis through network pharmacology, which lays a foundation for further elucidation of drugs effective targets.

scholarly journals Psychiatric disorders as risk factors for the development of type 2 diabetes mellitus: an umbrella review protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e024981 ◽  
Author(s):  
Nanna Lindekilde ◽  
Giesje Nefs ◽  
Jan Erik Henriksen ◽  
Mathias Lasgaard ◽  
Miranda Schram ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Psychiatric Disorders ◽  
Systematic Reviews ◽  
Future Research ◽  
Umbrella Review ◽  
Mediating Mechanisms ◽  
Meta Analyses

IntroductionNumerous longitudinal studies, systematic reviews and meta-analyses have examined psychiatric disorders as risk factors for the development of type 2 diabetes mellitus. A more comprehensive overview of the area is warranted to summarise current evidence and discuss strengths and weaknesses to guide future research.AimThe aim of this umbrella review is to determine whether and to what extent different psychiatric disorders are associated with the development of type 2 diabetes mellitus. Furthermore, the umbrella review also assesses the evidence on potential mediating mechanisms.Methods and analysisThe present umbrella review will consist of a comprehensive systematic search of published systematic reviews and meta-analyses of observational longitudinal studies investigating whether a psychiatric disorder is associated with the risk of developing type 2 diabetes. PubMed, Embase, PsychINFO and the Cochrane Database of Systematic Reviews will be searched, and the results will be screened for inclusion by two independent reviewers. Furthermore, the reference lists of included publications will be manually searched. Two independent reviewers will extract data and assess the methodological quality in the included systematic reviews and meta-analyses. Evidence on potential mediating mechanisms included in the systematic reviews and meta-analyses will also be reviewed. The implications of the overview will be discussed in light of the quality of the included studies, and suggestions for clinical practice and future research will be made.Ethics and disseminationEthical approval is not required for this umbrella review. Our review will be submitted for publication in a peer-reviewed international journal using open access option if available. The results will also be disseminated at international conferences.PROSPERO registration numberCRD42018096362

Screening Traditional Chinese Medicine Combination for Cotreatment of Alzheimer’s Disease and Type 2 Diabetes Mellitus by Network Pharmacology

2021 ◽  
pp. 1-11
Author(s):  
Yi-Zhen Wang ◽  
Lei Meng ◽  
Qi-Shuai Zhuang ◽  
Liang Shen
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Type 2 Diabetes ◽  
Alzheimer's Disease ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Network Pharmacology ◽  
Therapeutic Effects

Background: In recent years, the efficacy of type 2 diabetes mellitus (T2DM) drugs in the treatment of Alzheimer’s disease (AD) has attracted extensive interest owing to the close associations between the two diseases. Objective: Here, we screened traditional Chinese medicine (TCM) and multi-target ingredients that may have potential therapeutic effects on both T2DM and AD from T2DM prescriptions. Methods: Network pharmacology and molecular docking were used. Results: Firstly, the top 10 frequently used herbs and corresponding 275 active ingredients were identified from 263 T2DM-related TCM prescriptions. Secondly, through the comparative analysis of 208 potential targets of ingredients, 1,740 T2DM-related targets, and 2,060 AD-related targets, 61 common targets were identified to be shared. Thirdly, by constructing pharmacological network, 26 key targets and 154 representative ingredients were identified. Further enrichment analysis showed that common targets were involved in regulating multiple pathways related to T2DM and AD, while network analysis also found that the combination of Danshen (Radix Salviae)-Gancao (Licorice)-Shanyao (Rhizoma Dioscoreae) contained the vast majority of the representative ingredients and might be potential for the cotreatment of the two diseases. Fourthly, MAPK1, PPARG, GSK3B, BACE1, and NR3C1 were selected as potential targets for virtual screening of multi-target ingredients. Further docking studies showed that multiple natural compounds, including salvianolic acid J, gancaonin H, gadelaidic acid, icos-5-enoic acid, and sigmoidin-B, exhibited high binding affinities with the five targets. Conclusion: To summarize, the present study provides a potential TCM combination that might possess the potential advantage of cotreatment of AD and T2DM.

scholarly journals dTGS: Method for Effective Components Identification from Traditional Chinese Medicine Formula and Mechanism Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Ji Luo ◽  
Yinglong Ren ◽  
Hao Gu ◽  
Yi Wu ◽  
Yun Wang
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Chinese Medicine Formula ◽  
Effective Components ◽  
Grammar Systems ◽  
Effective Component

Because of the complexity of the components in Traditional Chinese Medicine formula (TCM formula), it is still a challenge to identify its effective components, to elucidate the mechanism of the components, and to discover the relationship between components and therapy objectives. In this paper, a method called directed TCM grammar systems (dTGS) for effective component identification was proposed using entity grammar systems (EGS) as the theoretical framework. The component-disease relationship of a TCM formula (i.e., Bai-Hu decoction plus Wasting-Thirsting formula, BHDWT) and one disease (i.e., type 2 diabetes mellitus) treated with it was studied, and the effective component groups (ECGs) were identified. 19 compounds were found acting on 20 proteins in type 2 diabetes mellitus (T2D) disease network, and 15 compounds were determined as the candidate effective components. Results indicated that this method can be used to identify the effective components and provide an innovative way to elucidate the molecular mechanism of TCM formulas.

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