Clinical evidence of three traditional Chinese medicine drugs and three herbal formulas for COVID-19: A systematic review and meta-analysis of the Chinese population.

BACKGROUND: The coronavirus disease 2019 (COVID-19) continues to spread worldwide. Integrated Chinese and Western medicine have had some successes in treating COVID-19. OBJECTIVE: This study aims to evaluate the efficacy and safety of three traditional Chinese medicine drugs and three herbal formulas (3-drugs-3-formulas) in patients with COVID-19. SEARCH STRATEGY: Relevant studies were identified from 12 electronic databases searched from their establishment to April 7, 2022. INCLUSION CRITERIA: Randomized controlled trials (RCTs), non-RCTs and cohort studies that evaluated the effects of 3-drugs-3-formulas for COVID-19. The treatment group was treated with one of the 3-drugs-3-formulas plus conventional treatment. The control group was treated with conventional treatment. DATA EXTRACTION AND ANALYSIS: Two evaluators screened and selected literature independently, then extracted basic information and assessed risk of bias. The treatment outcome measures were duration of main symptoms, hospitalization time, aggravation rate and mortality. RevMan 5.4 was used to analyze the pooled results reported as mean difference (MD) with 95% confidence interval (CI) for continuous data and risk ratio (RR) with 95% CI for dichotomous data. RESULTS: Forty-one studies with a total of 13,260 participants were identified. Our analysis suggests that compared with conventional treatment, the combination of 3-drugs-3-formulas might shorten duration of fever (MD = -1.39; 95% CI: -2.19 to -0.59; P < 0.05), cough (MD = -1.57; 95% CI: -2.16 to -0.98; P < 0.05) and fatigue (MD = -1.36; 95% CI: -2.21 to -0.51; P < 0.05), decrease length of hospital stay (MD = -2.62; 95% CI -3.52 to -1.72; P < 0.05), the time for nucleic acid conversion (MD = -2.92; 95% CI: -4.26 to -1.59; P < 0.05), aggravation rate (RR = 0.49; 95% CI: 0.38 to 0.64; P < 0.05) and mortality (RR = 0.34; 95% CI: 0.19 to 0.62; P < 0.05), and increase the recovery rate of chest computerized tomography manifestations (RR = 1.22; 95% CI: 1.14 to 1.3; P < 0.05) and total effectiveness (RR = 1.24; 95% CI: 1.09 to 1.42; P < 0.05). CONCLUSION: The 3-drugs-3-formulas can play an active role in treating all stages of COVID-19. No severe adverse events related to 3-drugs-3-formulas were observed. Hence, 3-drugs-3-formulas combined with conventional therapies have effective therapeutic value for COVID-19 patients. Further long-term high-quality studies are essential to demonstrate the clinical benefits of each formula. Please cite this article as: You LZ, Dai QQ, Zhong XY, Yu DD, Cui HR, Kong YF, Zhao MZ, Zhang XY, Xu QQ, Guan ZY, Wei XX, Zhang XC, Han SJ, Liu WJ, Chen Z, Zhang XY, Zhao C, Jin YH, Shang HC. Clinical evidence of three traditional Chinese medicine drugs and three herbal formulas for COVID-19: A systematic review and meta-analysis of the Chinese population. J Integr Med. 2023; 21(5): 441-454.

Network pharmacology and molecular docking prediction, combined with experimental validation to explore the potential mechanism of Qishen Yiqi pills against HF-related cognitive dysfunction.

ETHNOPHARMACOLOGICAL RELEVANCE: Qishen Yiqi Pills (QSYQ) is a classical herbal formula for treating heart failure (HF) and has potential efficacy in improving cognitive function. The latter is one of the most common complications in patients with HF. However, there is no study on treating HF-related cognitive dysfunction by QSYQ. AIMS OF THE STUDY: The study aims to investigate the effect and mechanism of QSYQ on treating post-HF cognitive dysfunction based on network pharmacology and experimental validation. MATERIALS AND METHODS: Network pharmacology analysis and molecular docking was used to explore endogenous targets of QSYQ in treating cognitive impairment. Ligation of the anterior descending branch of the left coronary artery and sleep deprivation (SD) were used to induce HF-related cognitive dysfunction in rats. The efficacy and potential signal targets of QSYQ were then verified by functional evaluation, pathological staining, and molecular biology experiments. RESULTS: 384 common targets were identified by intersecting QSYQ 'compound targets' and 'cognitive dysfunction' disease targets. KEGG analysis showed these targets were enriched to the cAMP signal, and four marks responsible for regulating the cAMP signal were successfully docked with core compounds of QSYQ. Animal experiments demonstrated that QSYQ significantly ameliorated cardiac function and cognitive function in rats suffering from HF and SD, inhibited the reduction of cAMP and BDNF content, reversed the upregulation of PDE4 and downregulation of CREB, suppressed the loss of neurons, and restored the expression of synaptic protein PSD95 in the hippocampus. CONCLUSION: This study clarified that QSYQ could improve HF-related cognitive dysfunction by modulating cAMP-CREB-BDNF signals. It provides a rich basis for the potential mechanism of QSYQ in the treatment of heart failure with cognitive dysfunction.

[Application of "major scientific issues and engineering technology difficulties in traditional Chinese medicine(2019-2021)" in national science and t echnology layout].

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.

XinLi formula, a traditional Chinese decoction, alleviates chronic heart failure via regulating the interaction of AGTR1 and AQP1.

BACKGROUND: XinLi formula (XLF) is a traditional Chinese medicine used in clinical practice to treat chronic heart failure (CHF) in humans, with remarkable curative effect. However, the mechanism remains unknown. PURPOSE: The goal of the current investigation was to determine how XLF affected CHF in a rat model of the condition brought on by ligation of the left anterior descending coronary artery, and to investigate the underlying mechanism. STUDY DESIGN AND METHODS: Cardiac function was detected by echocardiography. The contents of myocardial enzymes, Ang II, ALD, TGF-ß1, and inflammatory factors were measured by ELISA. Myocardial injury and myocardial fibrosis were evaluated by HE and Masson staining. Myocardial edema was assessed by cardiac mass index and transmission electron microscopy. Using Western blot and immunohistochemistry to examining the protein expression of inflammasome, TGF-ß1, AGTR1, and AQP1 in the left ventricle. Furthermore, the interaction of AGTR1 and AQP1 was evaluated by co-immunoprecipitation. RESULTS: XLF attenuated myocardial enzymes and myocardial injury, and improved cardiac function in rats with CHF after myocardial infarction. It also reduced Ang II and ALD levels in CHF rats, and suppressed the expression of AGTR1 and TGF-ß1, finally alleviated myocardial fibrosis. By mechanism, XLF inhibited the expression of NLRP3 inflammasome proteins, reduced the plasma contents of IL-1ß, IL-18, IL-6 and TNF-α. Additionally, XLF inhibited the expression of AQP1 and the interaction of AGTR1 and AQP1, alleviating myocardial edema. The common structure of the main chemical constituents of XLF were glycoside compounds with glycosyl. CONCLUSION: XLF ameliorated CHF, which was evidenced by the alleviation of myocardial fibrosis by inhibiting AGTR1/NLRP3 signal, as well as the attenuation of myocardial edema by suppressing the interaction of AGTR1 and AQP1.

[Concept and method of evidence-based toxicology of traditional Chinese medicine from origin and development of evidence-based toxicology].

Advances in science and technology promote the rapid development of toxicological detection technologies. However, there is still a lack of decision-making tools for toxicological risk assessment, such as the lack of transparent schemes to evaluate current toxicological research and practice and the lag of toxicological testing tools to evaluate toxicity, resulting in difficulties in toxicity verification and hindering the transformation of toxicological research paradigm. Some scholars have proposed to integrate the concept of evidence-based medicine with the toxicological practice to improve the technical methods of toxicological research concept and risk assessment decision-making. With the promotion of relevant scholars and academic organizations, the concept and connotation of evidence-based toxicology have gradually become clear and a framework for research and practice has been initially formed. Although there are still many challenges, it also provides a new idea for the toxicity risk assessment and safe medication decision-making of traditional Chinese medicine(TCM). The era of digital intelligence has brought new opportunities and broad space for the development of TCM evidence-based toxicology. The exploration of TCM evidence-based toxicology from concept to method is an important embodiment of the development of TCM evidence-based toxicology, and will also promote the continuous enrichment and improvement of the research and practice system of TCM evidence-based toxicology.

[Establishment of multiple evidence-integrated evaluation and prediction method for "toxic" Chinese medicines].

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.

Immunometabolism at the service of traditional Chinese medicine.

To enhance therapeutic efficacy and reduce adverse effects, ancient practitioners of traditional Chinese medicine (TCM) prescribe combinations of plant species/animal species and minerals designated "TCM formulae" developed based on TCM theory and clinical experience. TCM formulae have been shown to exert curative effects on complex diseases via immune regulation but the underlying mechanisms remain unknown at present. Considerable progress in the field of immunometabolism, referring to alterations in the intracellular metabolism of immune cells that regulate their function, has been made over the past decade. The core context of immunometabolism is regulation of the allocation of metabolic resources supporting host defense and survival, which provides a critical additional dimension and emerging insights into how the immune system and metabolism influence each other during disease progression. This review summarizes research findings on the significant association between the immune function and metabolic remodeling in health and disease as well as the therapeutic modulatory effects of TCM formulae on immunometabolism. Progressive elucidation of the immunometabolic mechanisms involved during the course of TCM treatment continues to aid in the identification of novel potential targets against pathogenicity. In this report, we have provided a comprehensive overview of the benefits of TCM based on regulation of immunometabolism that are potentially applicable for the treatment of modern diseases.

Effects of traditional Chinese exercises on blood glucose and hemoglobin A1c levels in patients with prediabetes: A systematic review and meta-analysis.

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 I2, and the source of heterogeneity was determined using Galbraith diagram and sensitivity analysis. A Q test resulting in P < 0.1 and I2 > 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].

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-1ß),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-1ß,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-1ß,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-1ß,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].

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.