Application of "major scientific issues and engineering technology difficulties in traditional Chinese medicine(2019-2021)" in national science and t echnology layout / 中国中药杂志

In order to judge the future development trend of science and technology, plan ahead and lay out the frontier technology fields and directions, China Association of Chinese Medicine(CACM) has launched consultation projects for collecting "major scienti-fic issues and engineering technology difficulties in traditional Chinese medicine(TCM)" for the industry for three consecutive years since 2019. Up to now, 18 projects have been selected as major issues for research, and some experience and achievements have been made. These projects have been applied in important scientific and technological work such as scientific and technological planning and deployment at all levels of national, local, and scientific research institutions, the selection and cultivation of major national scientific and technological projects, and the construction of innovation bases, giving full play to the role of the think tank advisory committee of CACM. This study reviewed the selection of major issues for the first time, systematically combed its application in the national layout of science and technology, and put forward the existing problems and improvement suggestions, aiming to provide new ideas for further improving the selection of major issues and research direction, providing a theoretical basis and decision support for the national scientific and technological layout in the field of TCM, and promoting scientific and technological innovation to facilitate the high quality development of TCM.

Establishment of multiple evidence-integrated evaluation and prediction method for "toxic" Chinese medicines / 中国中药杂志

Traditional Chinese medicine(TCM) carries the experience and theoretical knowledge of the ancients, and the use of "toxic" Chinese medicines is a major feature and advantage of TCM. "Toxic" Chinese medicines have unique clinical value and certain medication risk under the guidance of TCM theories such as compatibility for detoxification and treatment based on syndrome differentiation. In recent years, the safety events of Chinese medicines have occurred frequently, which has made the safety of Chinese medicine a public concern in China and abroad. However, limited by conventional cognitive laws and technical methods, basic research on toxicity of Chinese medicines fails to be combined with the clinical application. As a result, it is difficult to identify the clinical characteristics of, predict toxic and side effects of, or form a universal precise medication regimen for "toxic" Chinese medicines, which restricts the clinical application of them. In view of the problem that the toxicity of "toxic" Chinese medicines is difficult to be predicted and restricts the clinical application, the evidence-based research concept will provide new ideas for safe applcation of them in clinical practice. The integrated development of multiple disciplines and techniques in the field of big data and artificial intelligence will also promote the renewal and development of the research models for "toxic" Chinese medicines. Our team tried to propose the academic concept of evidence-based Chinese medicine toxicology and establish the data-intelligence research mode for "toxic" Chinese medicines and the intelligent risk prediction method for medicinal combination in the early stage, which provided methodological supports for solving the above problem. Thus, on the basis of summarizing the research status and problems of the clinical medication regimen of "toxic" Chinese medicines, our team took the evidence-based toxicology of TCM as the core concept, and tried to construct the multiple-evidence integrated evaluation and prediction method for "toxic" Chinese medicine, so as to guide the establishment of the non-toxic medication regimen of "toxic" Chinese medicines. Specifically, through the analysis of multivariate data obtained from the basic research, the evidence-based toxicology database of Chinese medicines and the individualized "toxicity-effect" intelligent prediction platform were built based on the disease-syndrome virtual patients, so as to identify the clinical characteristics and risks of "toxic" Chinese medicines and develop individualized medication regime. This study is expected to provide a methodological reference for the establishment of medication regimen and risk prevention strategy for "toxic" Chinese medicines. The method established in this study will bridge clinical research and basic research, enhance the transformation of the scientific connotation of attenuated compatibility, promote the development of evidence-based Chinese medicine toxicology, and ensure the clinical safety of "toxic" Chinese medicines.

Effects of traditional Chinese exercises on blood glucose and hemoglobin A1c levels in patients with prediabetes: A systematic review and meta-analysis / 中西医结合学报

BACKGROUND@#Traditional Chinese exercises (TCEs) have a positive effect on glycemic control and hemoglobin A1c (HbA1c), but there is no consensus on the benefits of TCEs for patients with prediabetes.@*OBJECTIVE@#The objective of this study was to systematically investigate the effects of TCEs on blood glucose control in patients with prediabetes.@*SEARCH STRATEGY@#Comprehensive retrieval of randomized controlled trials (RCTs) was carried out using PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals, Wanfang Data Knowledge Service Platform, China Biology Medicine disc, Google Scholar and Baidu academic databases. The retrieval window ranged from the establishment of the database to December 2018, and references related to the included trials were searched without language restrictions.@*INCLUSION CRITERIA@#The study included RCTs with a clinical diagnosis of prediabetes that was also treated with TCEs.@*DATA EXTRACTION AND ANALYSIS@#Literature screening, data extraction and literature quality assessment were performed independently by two researchers. In the case of disagreement, a third party was invited to negotiate and make a decision. Standardized mean difference (SMD) was used to estimate the therapeutic effect. Meta-analysis was performed using Review Manager 5.3.5 and Stata 15.0. Heterogeneity was assessed using Q test and I, and the source of heterogeneity was determined using Galbraith diagram and sensitivity analysis. A Q test resulting in P  50% indicated significant difference and random effect model analysis was performed. Otherwise, a fixed effect model was applied. Begg's and Egger's tests were used to assess publication bias.@*RESULTS@#Nine RCTs involving 485 participants were included in this study. The results showed that TCEs could reduce fasting blood glucose (FBG), 2 h blood glucose (2hPBG) and HbA1c in patients with prediabetes. The treatment subgroup showed that an intervention of 6 months had better results, while the Gongfa subgroup showed that the TCE Baduanjin yielded better results. (1) FBG: SMD = -0.73, 95% confidence interval (CI) [-0.97, -0.50], P < 0.00001; Baduanjin: SMD = -0.83, 95% CI [-1.13, -0.53], P < 0.00001; 6 month treatment: SMD = -0.73, 95% CI [-1.20, -0.26], P = 0.002. (2) 2hPBG: SMD = -0.75, 95% CI [-0.94, -0.57], P < 0.00001; Baduanjin: SMD = -0.62, 95% CI [-0.91, -0.32], P < 0.00001; 6 month treatment: SMD = -0.91, 95% CI [-1.39, -0.44], P = 0.0002. (3) HbA1c: SMD = -0.56, 95% CI [-0.89, -0.23], P = 0.00008; Baduanjin: SMD = -0.46, 95% CI [-0.83, -0.08], P = 0.02; 6 month treatment: SMD = -0.77, 95% CI [-1.24, -0.29], P = 0.002.@*CONCLUSION@#TCEs had positive effects in improving blood glucose levels in patients with prediabetes. Hence, TCEs may be of potential therapeutic value for patients with prediabetes, as an adjuvant therapy along with other treatments. Although the evidence suggests that the intervention is effective for 6 months, the mechanism of TCEs on glycemic control, the minimum exercise dose and their safety remain to be further studied.

Mechanism of Danzhi Jiangtang Capsules in treatment of diabetic macrovascular disease in GK rats based on correlation between microRNAs and inflammatory factors / 中国中药杂志

This study was aimed to investigate the mechanism of Danzhi Jiangtang Capsules( DJC) in the treatment of diabetic macrovascular disease in Goto-Kakizaki( GK) rats. The diabetic macrovascular disease rat model was induced by feeding high-fat and high-sugar combined with endothelial nitric oxide synthase( NOS) inhibitor N-nitro-L-arginine methyl ester( L-NAME)( 0. 1 g·L-1·d-1). According to the random array table,the model rats were randomly divided into the model group,DJC groups( 1 260,630,320 mg·kg-1),atorvastatin group( 105 mg·kg-1) and metformin group( 10 mg·kg-1),with 12 rats in each group. The rats received gavage administration for 8 weeks. Twelve Wistar rats were selected as the normal control group. The changes of body weight,water intake,blood glucose,plasma total cholesterol( TC),triglyceride( TG),high density lipoprotein( HDL-C),low density lipoprotein( LDL-C),interleukin( IL-1β),IL-6,tumor necrosis factor( TNF-α),nitric oxide( NO),endothelin( ET-1) were observed in these rats. Aortic tissue was taken and the pathological changes were observed by HE staining. RT-PCR was used to detect the mRNA levels of IL-1β,IL-6,and TNF-α in rat aorta. RT-PCR of the stem loop was used to detect the levels of miRNA-126,miRNA-155,miRNA-146 a,and miRNA-21 in rat plasma and aortic tissue. The canonical correlation between miRNAs and inflammatory factors was then analyzed. The results showed that DJC increased the rat body weight,lowered water intake,reduced the random blood glucose,reversed the rat aorta tissue damage,reduced serum TC,TG,LDL-C,ET-1,IL-1β,IL-6,TNF-α,as well as miRNA-155,miRNA-146 a and miRNA-21 levels in serum,elevated plasma HDL-C,NO content,reduced the aorta mRNA of IL-1β,IL-6,TNF-α,and the miRNA-155,miRNA-146 a and miRNA-21,elevated miRNA-126 expression in aorta. Aortic miRNA-126,miRNA-155,miRNA-146 a and miRNA-21 expression levels were typically correlated with the expression of inflammatory factors,among which miRNA-126 was negatively correlated,miRNA-155,miRNA-146 a and miRNA-21 were positively correlated with the factors. These results suggested that DJC had therapeutic effects on diabetic macrovascular diseases,and the mechanism of action may be related to the regulation of miRNA-126,miRNA-155,miRNA-146 a and miRNA-21 levels,as well as the reduction of inflammatory factors and vascular inflammatory response.

Research advances on astragaloside-IV in treatment of diabetes mellitus and its complications pharmacological effects / 中国中药杂志

Diabetes has become a global public health problem that seriously threatens human health. Traditional Chinese medicine, the characteristics of the role of multiple targets, has a unique advantage in the prevention and treatment of diabetes mellitus and its complications. Astragaloside-Ⅳ (AS-Ⅳ), one of the main activities of Astragalus membranaceus, has a series of pharmacological effects including improvement in the function of endothelial cells and neovascularization, anti-inflammatory, antioxidant, regulating energy metabolism, protectionnervous, anti-cancer and so on. In this paper, AS-Ⅳ to prevent and treat diabetes and its complications has been reviewed, which has effect on lowering blood sugar, lowering blood pressure, improving insulin resistance, inhibiting inflammatory reaction and oxidative stress. Additionally, it also can improve the diabetic animal and cell model of diabetic vascular disease, diabetic nephropathy, diabetic retinopathy, diabetic peripheral neuropathy, diabetic cardiomyopathy and other pathological damages. AS-Ⅳ may be a potential active substance for the treatment of diabetes and its complications.