Risk factors for arrhythmias occurred in cancer patients after chemotherapy: An evidence-based systematic review and meta-analysis.

Objectives: This study aimed to summarize the existing literature on risk factors for arrhythmias after chemotherapy in cancer patients. To provide reliable evidence for treating arrhythmias after chemotherapy in oncology patients by assessing multiple biasing factors in the literature and quantifying the risk factors. Methods: The risk factors for arrhythmia following tumor chemotherapy were systematically collected from various reputable databases, including PubMed, Cochrane Library, MEDLINE, EMBASE, and multiple Chinese databases, covering the period from inception to May 2023. Two independent reviewers performed rigorous article screening, data extraction, and assessment of research quality. Data analysis was conducted using Review Manager 5.4 software, ensuring a standardized and robust approach to evaluate the gathered evidence. Results: The analysis of chemotherapy-induced arrhythmias included 16 articles, encompassing 14,785 cancer patients. Among the patients, 3295 belonged to the arrhythmia group, while 11,490 were in the non-arrhythmia group. These studies identified 12 significant risk factors associated with arrhythmias following chemotherapy in cancer patients. The findings of the analysis are as follows. General patient characteristics: The incidence of post-chemotherapy arrhythmias was 14.33 times higher in oncology patients aged ≥60 years compared to patients <60 years of age [OR = 14.33, 95%CI (8.51, 24.13), P＜0.00001]. Patients with a smoking history exhibited a 1.67-fold higher risk of arrhythmia after chemotherapy [OR = 1.67, 95%CI (1.24, 2.25), P = 0.0007]. However, there was no significant correlation between gender and body mass index (BMI) with arrhythmia after chemotherapy in oncology patients (P = 0.52; P = 0.19). Disease-related factors: Patients with a history of hypertension, diabetes, and cardiovascular disease had a 1.93-fold, 1.30-fold, and 1.76-fold increased risk of arrhythmia after chemotherapy, respectively [OR = 1.93, 95%CI (1.66, 2.24), P＜0.00001; OR = 1.30, 95%CI (1.10, 2.52), P = 0.002; OR = 1.76, 95%CI (1.51, 2.05), P＜0.00001]. Additionally, the incidence of arrhythmia increased 1.97 times in patients with electrolyte and acid-base balance disorders following chemotherapy [OR = 1.97, 95%CI (1.41, 2.76), P＜0.00001]. Chemotherapy-related factors: Seven articles examined the association between chemotherapy drugs and post-chemotherapy arrhythmias. The results indicated that oncology patients were 3.03 times more likely to develop arrhythmias with chemotherapy drugs compared to non-chemotherapy drugs [OR = 3.03, 95%CI (2.59, 3.54), P＜0.00001]. Notably, anthracyclines and fluorouracil chemotherapy demonstrated a 2.98-fold and 3.35-fold increased risk of arrhythmia after chemotherapy, respectively [OR = 2.98, 95%CI (2.51, 3.03), P＜0.00001; OR = 3.35, 95%CI (2.20, 5.10), P＜0.00001]. The risk of arrhythmia after chemotherapy was 1.72 times higher in patients with chemotherapy cycles longer than 4 weeks than those with cycles shorter than 4 weeks [OR = 1.72, 95%CI (1.30, 2.28), P = 0.0001]. Conclusion: The occurrence of arrhythmia after chemotherapy in cancer patients was significantly associated with the patient's age, history of smoking, history of hypertension, history of diabetes, history of cardiovascular disease, chemotherapy drug use, and cycle. However, further high-quality evidence is needed to support these results.

Asymptomatic infection and disappearance of clinical symptoms of COVID-19 infectors in China 2022-2023: a cross-sectional study.

To explore the clinical characteristics of patients infected with SARS-CoV-2 nationwide, especially the effect factors of asymptomatic infection and disappearance of clinical symptoms. A total of 66,448 COVID-19 patients in China who have been diagnosed by nucleic acid test or rapid antigen test were surveyed online (December 24, 2022 to January 16, 2023). Our cross-sectional study used descriptive analyses and binary Logistics regression model to assess the correlation between the clinical characteristics and relative factors, including age, gender, pre-existing conditions, reinfection, vaccination and treatment. A total of 64,515 valid questionnaires were collected. Among included participants, 5969 of which were asymptomatic. The symptoms were mainly upper respiratory symptoms, including dry and itchy throat (64.16%), sore throat (59.95%), hoarseness (57.90%), nasal congestion (53.39%). In binary Logistics regression model, we found that male, no pre-existing conditions, reinfection and vaccination have positive correlations with the appearance of asymptomatic COVID-19 patients. In Cox proportional-hazards regression model, considering all clinical symptoms disappeared in 14 days as outcome, we found that ≤ 60 years old, male, no pre-existing conditions, vaccination and adopted treatment have positive correlations with rapid amelioration of clinical symptoms in COVID-19 patients. The clinical symptoms of the participants were mainly upper respiratory symptoms which were according with the infection of Omicron variant. Factors including age, gender, pre-existing conditions and reinfection could influence the clinical characteristics and prognosis of COVID-19 patients. Importantly, vaccination has positive significance for the prevention and treatment of COVID-19. Lastly, the use of Chinese medicine maybe beneficial to COVID-19 patients, however, reasonable guidance is necessary.

Chinese Medicine for Treatment of COVID-19: A Review of Potential Pharmacological Components and Mechanisms.

Coronavirus disease 2019 (COVID-19) is an acute infectious respiratory disease that has been prevalent since December 2019. Chinese medicine (CM) has demonstrated its unique advantages in the fight against COVID-19 in the areas of disease prevention, improvement of clinical symptoms, and control of disease progression. This review summarized the relevant material components of CM in the treatment of COVID-19 by searching the relevant literature and reports on CM in the treatment of COVID-19 and combining with the physiological and pathological characteristics of the novel coronavirus. On the basis of sorting out experimental methods in vivo and in vitro, the mechanism of herb action was further clarified in terms of inhibiting virus invasion and replication and improving related complications. The aim of the article is to explore the strengths and characteristics of CM in the treatment of COVID-19, and to provide a basis for the research and scientific, standardized treatment of COVID-19 with CM.

[Current landscape and emerging trends in academic development of traditional Chinese medicine in new era].

The discipline development is the pillar for the development of traditional Chinese medicine( TCM). The academic progress in TCM is the commanding height of the discipline development of TCM. To lead and promote the development and academic progress of TCM, the China Association of Chinese Medicine has summarized the Top Ten Academic Achievements in Traditional Chinese Medicine during 2020-2022, the Major Scientific Problems, Engineering Technical Problems, and Industrial Technical Problems in Traditional Chinese Medicine during 2019-2023, and the Remarkable Research Achievements of Traditional Chinese Medicine during 2012-2022. Based on the above research reports and the research achievements awarded the national science and technology prizes in TCM in the last 20 years and according to the current situation and layout of TCM discipline development, this paper reviews the major research achievements of TCM in the last two decades and the latest research progress in TCM during 2020-2023. The major scientific, engineering technical, and industrial technical problems in TCM are analyzed and the emerging trends of TCM are prospected in accordance with the development laws and characteristics of TCM. This review provides new ideas and reference for the high-quality development of TCM in the new era.

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.

Risk prediction models for mortality and readmission in patients with acute heart failure: A protocol for systematic review, critical appraisal, and meta-analysis.

INTRODUCTION: A considerable number of risk models, which predict outcomes in mortality and readmission rates, have been developed for patients with acute heart failure (AHF) to help stratify patients by risk level, improve decision making, and save medical resources. However, some models exist in a clinically useful manner such as risk scores or online calculators, while others are not, providing only limited information that prevents clinicians and patients from using them. The reported performance of some models varied greatly when predicting at multiple time points and being validated in different cohorts, which causes model users uncertainty about the predictive accuracy of these models. The foregoing leads to users facing difficulties in the selection of prediction models, and even sometimes being reluctant to utilize models. Therefore, a systematic review to assess the performance at multiple time points, applicability, and clinical impact of extant prediction models for mortality and readmission in AHF patients is essential. It may facilitate the selection of models for clinical implementation. METHOD AND ANALYSIS: Four databases will be searched from their inception onwards. Multivariable prognostic models for mortality and/or readmission in AHF patients will be eligible for review. Characteristics and the clinical impact of included models will be summarized qualitatively and quantitatively, and models with clinical utility will be compared with those without. Predictive performance measures of included models with an analogous clinical outcome appraised repeatedly, will be compared and synthesized by a meta-analysis. Meta-analysis of validation studies for a common prediction model at the same time point will also be performed. We will also provide an overview of critical appraisal of the risk of bias, applicability, and reporting transparency of included studies using the PROBAST tool and TRIPOD statement. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42021256416.

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.

Mulberry extract ameliorates T2DM-related symptoms via AMPK pathway in STZ-HFD-induced C57BL/6J mice.

ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry (Morus alba L.) is not only a tasty food but also a beneficial medicinal substance that has been historically used to treat diabetes, as recorded in Tang Ben Cao. Recent research on animal models has shown that the ethyl acetate extract of Morus alba L. fruits (EMF) has hypoglycemic and hypolipidemic properties. However, there is a lack of documentation on the specific mechanisms through which EMF exerts its hypoglycemic effects. OBJECTIVE OF THE STUDY: This study aimed to investigate the impact of EMF on L6 cells and C57/BL6J mice and to elucidate the potential mechanisms underlying its effects. The findings of this study can contribute to the existing evidence for the application of EMF as a therapeutic drug or dietary supplement in the management of type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: The UPLC-Q-TOF-MS technique was utilized to gather MS data. Masslynx 4.1 software in conjunction with the SciFinder database and other relevant references were used to analyze and identify the chemical composition of EMF. A series of in vitro investigations including MTT assay, glucose uptake assay and Western blot analysis were performed using an L6 cell model stably expressing IRAP-mOrange after EMF treatment. In vivo investigations were performed on a STZ-HFD co-induced T2DM mouse model, which included assessments of body composition, biochemical tests, histopathological analysis, and Western blot analysis. RESULTS: MTT results revealed that EMF had no toxic effects on the cells at various concentrations. When EMF was administered to L6 cells, there was an increase in glucose transporter type 4 (GLUT4) translocation activity and a significant dose-dependent enhancement of glucose uptake by L6 myotubes. EMF treatment led to a marked increase in P-AMPK levels and GLUT4 expression in the cells, but these effects were reversed by an AMPK inhibitor (Compound C). In diabetic mice with STZ-HFD-induced diabetes, EMF treatment improved oral glucose tolerance, hyperglycemia, and hyperinsulinemia. Furthermore, EMF supplementation significantly reduced insulin resistance (IR) in diabetic mice, as evaluated using a steady-state model of the insulin resistance index. Histopathological sections demonstrated that acute EMF treatment reduced hepatic steatosis, pancreatic damage, and adipocyte hypertrophy. Western blot analysis demonstrated that EMF treatment also reduced abnormally high PPARγ expression, elevated the level of p-AMPK and p-ACC, and augmented the abundance of GLUT4 in insulin-sensitive peripheral tissues. SUMMARY: The results suggest that EMF may exert beneficial effects on T2DM through the AMPK/GLUT4 and AMPK/ACC pathways, as well as by regulating PPARγ expression.

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.

RNA modifications in aging-associated cardiovascular diseases.

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide that bears an enormous healthcare burden and aging is a major contributing factor to CVDs. Functional gene expression network during aging is regulated by mRNAs transcriptionally and by non-coding RNAs epi-transcriptionally. RNA modifications alter the stability and function of both mRNAs and non-coding RNAs and are involved in differentiation, development, and diseases. Here we review major chemical RNA modifications on mRNAs and non-coding RNAs, including N6-adenosine methylation, N1-adenosine methylation, 5-methylcytidine, pseudouridylation, 2' -O-ribose-methylation, and N7-methylguanosine, in the aging process with an emphasis on cardiovascular aging. We also summarize the currently available methods to detect RNA modifications and the bioinformatic tools to study RNA modifications. More importantly, we discussed the specific implication of the RNA modifications on mRNAs and non-coding RNAs in the pathogenesis of aging-associated CVDs, including atherosclerosis, hypertension, coronary heart diseases, congestive heart failure, atrial fibrillation, peripheral artery disease, venous insufficiency, and stroke.

Developing an artificial intelligence method for screening hepatotoxic compounds in traditional Chinese medicine and Western medicine combination.

BACKGROUNDS: Traditional Chinese medicine and Western medicine combination (TCM-WMC) increased the complexity of compounds ingested. OBJECTIVE: To develop a method for screening hepatotoxic compounds in TCM-WMC based on chemical structures using artificial intelligence (AI) methods. METHODS: Drug-induced liver injury (DILI) data was collected from the public databases and published literatures. The total dataset formed by DILI data was randomly divided into training set and test set at a ratio of 3:1 approximately. Machine learning models of SGD (Stochastic Gradient Descent), kNN (k-Nearest Neighbor), SVM (Support Vector Machine), NB (Naive Bayes), DT (Decision Tree), RF (Random Forest), ANN (Artificial Neural Network), AdaBoost, LR (Logistic Regression) and one deep learning model (deep belief network, DBN) were adopted to construct models for screening hepatotoxic compounds. RESULT: Dataset of 2035 hepatotoxic compounds was collected in this research, in which 1505 compounds were as training set and 530 compounds were as test set. Results showed that RF obtained 0.838 of classification accuracy (CA), 0.827 of F1-score, 0.832 of Precision, 0.838 of Recall, 0.814 of area under the curve (AUC) on the training set and 0.767 of CA, 0.731 of F1, 0.739 of Precision, 0.767 of Recall, 0.739 of AUC on the test set, which was better than other eight machine learning methods. The DBN obtained 82.2% accuracy on the test set, which was higher than any other machine learning models on the test set. CONCLUSION: The DILI AI models were expected to effectively screen hepatotoxic compounds in TCM-WMC.

[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.

Dyspnea Measurement in Acute Heart Failure: A Systematic Review and Evidence Map of Randomized Controlled Trials.

Background: Dyspnea is the most common presenting symptom among patients hospitalized for acute heart failure (AHF). Dyspnea relief constitutes a clinically relevant therapeutic target and endpoint for clinical trials and regulatory approval. However, there have been no widely accepted dyspnea measurement standards in AHF. By systematic review and mapping the current evidence of the applied scales, timing, and results of measurement, we hope to provide some new insights and recommendations for dyspnea measurement. Methods: PubMed, Embase, Cochrane Library, and Web of Science were searched from inception until August 27, 2020. Randomized controlled trials (RCTs) with dyspnea severity measured as the endpoint in patients with AHF were included. Results: Out of a total of 63 studies, 28 had dyspnea as the primary endpoint. The Likert scale (34, 54%) and visual analog scale (VAS) (22, 35%) were most widely used for dyspnea assessment. Among the 43 studies with detailed results, dyspnea was assessed most frequently on days 1, 2, 3, and 6 h after randomization or drug administration. Compared with control groups, better dyspnea relief was observed in the experimental groups in 21 studies. Only four studies that assessed tolvaptan compared with control on the proportion of dyspnea improvement met the criteria for meta-analyses, which did not indicate beneficial effect of dyspnea improvement on day 1 (RR: 1.16; 95% CI: 0.99-1.37; p = 0.07; I 2 = 61%). Conclusion: The applied scales, analytical approaches, and timing of measurement are in diversity, which has impeded the comprehensive evaluation of clinical efficacy of potential therapies managing dyspnea in patients with AHF. Developing a more general measurement tool established on the unified unidimensional scales, standardized operation protocol to record the continuation, and clinically significant difference of dyspnea variation may be a promising approach. In addition, to evaluate the effect of experimental therapies on dyspnea more precisely, the screening time and blinded assessment are factors that need to be considered.

Effect of Shenzhu Tiaopi granule on hepatic insulin resistance in diabetic Goto-Kakizakirats via liver kinase B1/adenosine 5'-monophosphate/mammalian target of rapamycin signaling pathway.

OBJECTIVE: To observe the therapeutic effect of Shenzhu Tiaopi granule (, STG) on insulin resistance (IR) in the liver of diabetic Goto-Kakizaki (GK) rat and investigate underlying mechanisms. METHODS: Ten 12-week-old male Wistar rats were assigned as normal control (NC) group, while 40 12-week-old male specific-pathogen-free GK rats were randomly divided into four experimental groups, 10 diabetic rats each. Animals were fed with a normal diet. Fasting blood glucose (FBG), water intake, and body weight were recorded during 6 weeks of daily single-dose treatment: STG low-dose group, 4.5 g/kg (STG-L); STG high-dose group,9 g/kg (STG-H); metformin group, 0.1 g/kg (MET); model control (MC) and NC groups, equal volume of 0.9% NaCl solution. The serum fasting insulin (FINS), C-Peptide and IR index (HOMA-IR) were detected every 2 weeks during treatment and glucose tolerance was measured in the 3rd day before the material was taken. After the 6-week STG treatment, Liver tissues were processed for hematoxylin-eosin staining to perform light microscopy analysis and for assessing expression and distribution of insulin receptor substrates (IRS-1) and glucose transporter (GLUT-4) by immunohistochemistry analysis. Expression levels of liver kinase B1 (LKB1) / adenosine 5'-monophosphate-activated protein kinase (AMPK)/mammalian target of rapamycin (mTOR) pathway proteins, including LKB1, phospho-AMPK (p-AMPK)/AMPK, phospho-mTOR (p-mTOR)/mTOR, and ribosomal protein S6 kinase polypeptide 1 (S6K1),were detected by Western blotting. RESULTS: STG significantly reduced the FBG level and liver fat deposition in diabetic GK rats. After STG treatment completion, FINS, HOMA-IR, C-Peptide and area under blood glucose curve (AUC) were lower in STG groups than in the MC group, indicating that IR was reduced and liver fat lesions were resolved. In liver tissues, STG groups displayed significantly higher IRS-1 and GLUT-4 expression than the MC group, along with increasedLKB1 and p-AMPK/AMPK expression and decreased p-mTOR/mTOR and phospho-S6K1expression, suggesting that STG stimulatedLKB1 activation of AMPK and suppressed them TOR/S6K1 downstream pathway. CONCLUSION: Growing GK rats developed hepatic IR, but STG treatment significantly improved hyperglycemia and IR and resolved hepatic fatty lesions. Interestingly, STG treatment stimulated the expression of IRS-1 and GLUT-4 in the liver of diabetic GK rats, indicating a potential involvement in the regulation of theLKB1/AMPK/mTOR signaling pathway.

Evidence-based traditional Chinese medicine research: Two decades of development, its impact, and breakthrough.

It has been over 20 years since the introduction of evidence-based medicine (EBM) into the research of traditional Chinese medicine (TCM). The development of evidence-based TCM research has profoundly influenced the process of clinical research and decision-making, impelling researchers to pay attention to raise evidence quality, accumulate data, and explore appropriate evaluation methods adaptive to TCM original theories and knowledge. In this paper, the authors aim to summarize and review the existing work and seek promising research interests in this field, expecting to inspire more thoughts leading to breakthroughs in the near future.

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.

Radix pseudostellariae of Danzhi Jiangtang capsule relieves oxidative stress of vascular endothelium in diabetic macroangiopathy.

AIM: Medicinal plants act as an alternative source of anti-diabetic agents. Recently, Danzhi Jiangtang capsule (DJC) has been clinically used for treatment of diabetes, but the effect of DJC on diabetic macroangiopathy remained unclear. The present study investigates the therapeutic role of DJC in diabetic macroangiopathy and elucidates the underlying mechanisms. METHODS: Diabetes patients were treated with DJC for 20 weeks. Blood glucose and serum parameters (insulin, FFA, SOD, GSH-Px, MDA, NO) were determined before and after treatment. Streptozotocin -induced diabetic rat model and human HUVECs cells were applied to assess the anti-oxidative capacity of DJC and its bioactive constituents. The expression levels of eNOS, JNK, GRP78, CHOP, Bcl2, and BAX were measured by qPCR and/or immunoblotting. RESULTS: Diabetic macroangiopathy were ameliorated by DJC administration. Radix pseudostellariae (RP) mediated the anti-oxidative stress capacity of DJC, which improved insulin resistance (p < 0.01) and relieved oxidative stress (p < 0.01) of vascular endothelium through oxidative stress signaling and apoptosis pathway. The ability of DJC to ameliorate diabetic macroangiopathy and relieve oxidative stress was mainly mediated by its bioactive constituent RP. CONCLUSION: This study would provide experimental evidence for DJC in the prevention and treatment of diabetes and diabetic macroangiopathy.