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Traditional Chinese medicine (TCM) has recorded knowledge of diabetes for over 2000 years. Because a considerable number of TCM studies exhibit design defects, such as limited intervention duration, small sample sizes and inconsistent efficacy evaluations, the role of TCM in the treatment of diabetes cannot be fully elucidated. In this review, we evaluate randomized controlled trials of prediabetes, diabetes and diabetic complications published in the past decade. We found that TCM could significantly improve glucose control and clinical indices in patients with diabetes and effectively delay the progression of diabetes. We also summarize potential pharmacological mechanisms underlying the efficacy of TCM medication/herbs and their active ingredients for treating diabetes. More rigorously designed experiments and long-term evaluation of TCM for diabetes will allow for more effective diabetes management.
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Complicações do Diabetes/tratamento farmacológico , Diabetes Mellitus Tipo 2/tratamento farmacológico , Medicamentos de Ervas Chinesas/uso terapêutico , Fitoterapia , Estado Pré-Diabético/tratamento farmacológico , Adulto , Feminino , Humanos , Masculino , Medicina Tradicional Chinesa , Ensaios Clínicos Controlados Aleatórios como Assunto , Resultado do TratamentoRESUMO
Gut microbiota and circulating metabolite dysbiosis predate important pathological changes in glucose metabolic disorders; however, comprehensive studies on impaired glucose tolerance (IGT), a diabetes mellitus (DM) precursor, are lacking. Here, we perform metagenomic sequencing and metabolomics on 47 pairs of individuals with IGT and newly diagnosed DM and 46 controls with normal glucose tolerance (NGT); patients with IGT are followed up after 4 years for progression to DM. Analysis of baseline data reveals significant differences in gut microbiota and serum metabolites among the IGT, DM, and NGT groups. In addition, 13 types of gut microbiota and 17 types of circulating metabolites showed significant differences at baseline before IGT progressed to DM, including higher levels of Eggerthella unclassified, Coprobacillus unclassified, Clostridium ramosum, L-valine, L-norleucine, and L-isoleucine, and lower levels of Eubacterium eligens, Bacteroides faecis, Lachnospiraceae bacterium 3_1_46FAA, Alistipes senegalensis, Megaspaera elsdenii, Clostridium perfringens, α-linolenic acid, 10E,12Z-octadecadienoic acid, and dodecanoic acid. A random forest model based on differential intestinal microbiota and circulating metabolites can predict the progression from IGT to DM (AUC = 0.87). These results suggest that microbiome and metabolome dysbiosis occur in individuals with IGT and have important predictive values and potential for intervention in preventing IGT from progressing to DM.
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Diabetes Mellitus Tipo 2 , Diabetes Mellitus , Microbioma Gastrointestinal , Intolerância à Glucose , Humanos , Intolerância à Glucose/metabolismo , Teste de Tolerância a Glucose , Disbiose/microbiologia , Metaboloma , Diabetes Mellitus Tipo 2/metabolismo , Glicemia/metabolismoRESUMO
A growing amount of evidence has supported that gut microbiota plays a vital role in the reproductive endocrine system throughout a woman's whole life, and gut microbial ß-glucuronidase (gmGUS) is a key factor in regulating host estrogen metabolism. Moreover, estrogen levels also influence the composition as well as the diversity of gut microbiota. In normal condition, the gmGUS-estrogen crosstalk maintains body homeostasis of physiological estrogen level. Once this homeostasis is broken, the estrogen metabolism will be disturbed, resulting in estrogen-related diseases, such as gynecological cancers, menopausal syndrome, etc. together with gut microbial dysbiosis, which may accelerate these pathological processes. In this review, we highlight the regulatory role of gmGUS on the physical estrogen metabolism and estrogen-related diseases, summarize the present evidence of the interaction between gmGUS and estrogen metabolism, and unwrap the potential mechanisms behind them. Finally, gmGUS may become a potential biomarker for early diagnosis of estrogen-induced diseases. Regulating gmGUS activity or transplanting gmGUS-producing microbes shows promise for treating estrogen-related diseases.
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Microbioma Gastrointestinal , Neoplasias , Humanos , Feminino , Glucuronidase/genética , Glucuronidase/metabolismo , Microbioma Gastrointestinal/fisiologia , Estrogênios/metabolismo , DisbioseRESUMO
Background: Over the past 20 years, evidence has suggested that gut microbiota plays an important role in metabolic homeostasis. The relationship between gut microbiota and diabetes has become the focus of considerable scientific interest. With the sharp increase in publications in this area, it is imperative to analyze the relevant articles using bibliometrics methods. Methods: Publications on "the gut microbiota and diabetes" were retrieved and downloaded from the Web of Science Core Collection database. Microsoft Excel 2020, VOSviewer, CiteSpace 5.8.R3 and Co-Occurrence 9.94 software were used for data analysis and visualization. Country/academic institution, journal, author, subject category, keyword and reference were analyzed thoroughly. The cutting-edge directions in this field were also determined by analyzing keywords and key articles. Results: A total of 2,342 documents were included in the analysis; the number of articles in this field has increased yearly, particularly after 2010. China and the University of Copenhagen are the country and research institution associated with the largest number of publications. Nutrients have published 191 articles in this field, ranking first among highly productive journals in the number of publications. The researcher Cani PD affiliated with the University of Leuven, Belgium, published the greatest number of articles in this field between 2001 and 2021 and was also ranked as the first co-cited author and the largest contributor of highly cited papers in this field. Endocrinology & Metabolism was the most common subject category. Three of the most frequently found keywords, besides terms related to "microbiota" and "diabetes," were "obesity," "probiotics," and "inflammation." Akkermansia muciniphila, Faecalibacterium prausnitzii, trimethylamine n-oxide and branched-chain amino acids are intestinal bacteria or metabolites that have attracted more attention in recent years. Natural products represented by Chinese herbal medicine and some protein receptors or signaling pathways such as aryl hydrocarbon receptor, farnesoid X receptor and AMP-activated protein kinase were frontiers in this field. Conclusion: Over the past two decades, the rapid development of research on the gut microbiota has deepened the understanding of the physiology and pathology of diabetes, providing new insights into different approaches to treatment. In the future, further interdisciplinary innovation, clinical transformation, and application may receive more attention.
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Traditional Chinese herbal medicine often exerts the therapeutic effect of "treating different diseases with the same method" in clinical practice; in other words, it is a kind of herbal medicine that can often treat two or even multiple diseases; however, the biological mechanism underlying its multi-path and multi-target pharmacological effects remains unclear. Growing evidence has demonstrated that gut microbiota dysbiosis plays a vital role in the occurrence and development of several diseases, and that the root cause of herbal medicine plays a therapeutic role in different diseases, a phenomenon potentially related to the improvement of the gut microbiota. We used local intestinal diseases, such as ulcerative colitis, and systemic diseases, such as type 2 diabetes, as examples; comprehensively searched databases, such as PubMed, Web of Science, and China National Knowledge Infrastructure; and summarized the related studies. The results indicate that multiple individual Chinese herbal medicines, such as Rhizoma coptidis (Huang Lian), Curcuma longa L (Jiang Huang), and Radix Scutellariae (Huang Qin), and Chinese medicinal compounds, such as Gegen Qinlian Decoction, Banxia Xiexin Decoction, and Shenling Baizhu Powder, potentially treat these two diseases by enriching the diversity of the gut microbiota, increasing beneficial bacteria and butyrate-producing bacteria, reducing pathogenic bacteria, improving the intestinal mucosal barrier, and inhibiting intestinal and systemic inflammation. In conclusion, this study found that a variety of traditional Chinese herbal medicines can simultaneously treat ulcerative colitis and type 2 diabetes, and the gut microbiota may be a significant target for herbal medicine as it exerts its therapeutic effect of "treating different diseases with the same method".
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Colite Ulcerativa , Diabetes Mellitus Tipo 2 , Medicamentos de Ervas Chinesas , Microbioma Gastrointestinal , Colite Ulcerativa/tratamento farmacológico , Diabetes Mellitus Tipo 2/tratamento farmacológico , Medicamentos de Ervas Chinesas/farmacologia , Medicamentos de Ervas Chinesas/uso terapêutico , Disbiose/tratamento farmacológico , Humanos , Medicina Tradicional ChinesaRESUMO
T2DM, as a typical metabolic inflammatory disease, is under the joint regulation of environmental factors and genetics, combining with a variety of epigenetic changes. Apart from epigenetic changes of islet ß cells and glycometabolic tissues or organs, the inflammation-related epigenetics is also the core pathomechanism leading to ß-cell dysfunction and insulin resistance. In this review, we focus on the epigenetic modification of immune cells' proliferation, recruitment, differentiation and function, providing an overview of the key genes which regulated by DNA methylation, histone modifications, and non-coding RNA in the respect of T2DM. Meanwhile, we further summarize the present situation of T2DM epigenetic research and elucidate its prospect in T2DM clinical diagnosis and treatment.
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Diabetes Mellitus Tipo 2 , Metilação de DNA , Epigênese Genética , Epigenômica , Humanos , Inflamação/genética , Inflamação/metabolismoRESUMO
With global prevalence, metabolic diseases, represented by obesity and type 2 diabetes mellitus (T2DM), have a huge burden on human health and medical expenses. It is estimated that obese population has doubled in recent 40 years, and population with diabetes will increase 1.5 times in next 25 years, which has inspired the pursuit of economical and effective prevention and treatment methods. Natural polyphenols are emerging as a class of natural bioactive compounds with potential beneficial effects on the alleviation of obesity and T2DM. In this review, we investigated the network interaction mechanism of "gut microbial disturbance, metabolic disorder, and immune imbalance" in both obesity and T2DM and systemically summarized their multiple targets in the treatment of obesity and T2DM, including enrichment of the beneficial gut microbiota (genera Bifidobacterium, Akkermansia, and Lactobacillus) and upregulation of the levels of gut microbiota-derived metabolites [short-chain fatty acids (SCFAs)] and bile acids (BAs). Moreover, we explored their effect on host glucolipid metabolism, the AMPK pathway, and immune modulation via the inhibition of pro-inflammatory immune cells (M1-like MÏs, Th1, and Th17 cells); proliferation, recruitment, differentiation, and function; and related cytokines (TNF-α, IL-1ß, IL-6, IL-17, and MCP-1). We hope to provide evidence to promote the clinical application of natural polyphenols in the management of obesity and T2DM.
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Traditional Chinese medicine (TCM) has long been used to treat diabetes mellitus and angina. It has also gained widespread clinical applications in China as a common adjuvant treatment. Although there is high-quality evidence that TCM is effective in regulating glucose and lipid metabolism, the cardiovascular protective effect of TCM in the treatment of diabetes mellitus has not been fully elucidated, especially in patients with both diabetes mellitus and coronary heart disease (CHD). We systematically assessed the efficacy and safety of TCM for the adjuvant treatment of patients with CHD and diabetes mellitus and examined the pharmacological effects and potential mechanisms of TCM medication/herbs on diabetes mellitus with CHD. We found that TCM could improve the control effect of conventional treatment on cardiac function, hemorheology, blood glucose, blood lipid, and inflammation, thus reducing the frequency of angina and the incidence of cardiovascular events and all-cause mortality. These findings indicate that TCM may be used as a complementary approach for patients with diabetes mellitus and CHD. Nevertheless, more rigorously designed randomized controlled trials and long-term evaluations are needed to support these findings.
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Doença das Coronárias , Diabetes Mellitus , Glicemia , Doença das Coronárias/complicações , Doença das Coronárias/tratamento farmacológico , Diabetes Mellitus/tratamento farmacológico , Diabetes Mellitus/epidemiologia , Humanos , Incidência , Medicina Tradicional ChinesaRESUMO
Background: Coronavirus disease 2019 (COVID-19) was declared a global pandemic in March 2020 by the World Health Organization (WHO). As of July 2, 2022, COVID-19 has caused more than 545 million infections and 6.3 million deaths worldwide, posing a significant threat to human health. Currently, there is still a lack of effective prevention and control strategies for the variation and transmission of SARS-CoV-2. Traditional Chinese medicine (TCM), which has a unique theoretical system, has treated various conditions for thousands of years. Importantly, recent studies have revealed that TCM contributed significantly to COVID-19. SanHanHuaShi (SHHS) granules, a Chinese herbal medicine, which has been included in Protocol for the Diagnosis and Treatment of Novel Coronavirus Disease 2019 (6th to 9th editions) issued by the National Health Commission of China and used to prevent and treat COVID-19 disease. A previous retrospective cohort study showed that SHHS could significantly reduce the severity of mild and moderate COVID-19. However, there is an absence of high-quality randomized controlled clinical studies to confirm the clinical effectiveness of SHHS. Therefore, a clinical study protocol and a statistical analysis plan were designed to investigate the efficacy and safety of SHHS for the prevention and treatment of COVID-19. This study will increase the integrity and data transparency of the clinical research process, which is of great significance for improving the practical application of SHHS granules in the future. Methods and analysis: The study was designed as a 7-day, randomized, parallel controlled, open-label, noninferiority clinical trial of positive drugs. A total of 240 patients with mild and moderate COVID-19 will be enrolled and randomly assigned to receive SanHanHuaShi granules or LianHuaQingWen granules treatment in a 1:1 ratio. Disease classification, vital signs, SARS-CoV-2 nucleic acid testing, symptoms, medications, adverse events, and safety evaluations will be recorded at each visit. The primary outcome will be the clinical symptom recovery rate. Secondary outcomes will include the recovery time of clinical symptoms, negative conversion time of SARS-CoV-2 nucleic acid test negative conversion rate, hospitalization time, antipyretic time, rate of conversion to severe patients, and time and rate of single symptom recovery. Adverse incidents and safety assessments will be documented. All data will be analyzed using a predetermined statistical analysis plan, including our method for imputation of missing data, primary and secondary outcome analyses, and safety outcomes. Discussion: The results of this study will provide robust evidence to confirm the effectiveness and safety of SHHS in the treatment of COVID-19. Clinical Trial Registration: http://www.chictr.org.cn. Trial number: ChiCTR2200058080. Registered on 29 March 2022.
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BACKGROUND: Despite advances in research on type 2 diabetes mellitus (T2DM) with the development of science and technology, the pathogenesis and treatment response of T2DM remain unclear. Recent studies have revealed a significant role of the microbiomein the development of T2DM, and studies have found that the gut microbiota may explain the therapeutic effect of traditional Chinese medicine (TCM), a primary branch of alternative and complementary medicine, in the treatment of T2DM. The aim of this study was to systematically review all randomized controlled trials (RCTs) on TCM for gut microbiota to assess the effectiveness and safety of TCM in T2DM patients. METHODS: All RCTs investigating the effects of TCM interventions on modulating gut microbiota and improving glucose metabolism in the treatment of T2DM adults were included. Meta-analyses were conducted when sufficient data were available, other results were reported narratively. The study protocol was pre-specified, documented, and published in PROSPERO (registration no. CRD42020188043). RESULTS: Five studies met the eligibility criteria ofthe systematic review. All five studies reported the effects of TCM interventions on the gut microbiota modulation and blood glucose control. There were statistically significant improvements in HbA1c (mean difference [MD]: -0.69%; [95% CI -0.24, -0.14]; p = 0.01, I2 = 86%), fasting blood glucose (MD: -0.87 mmol/l; [95% CI -1.26, -0.49]; p < 0.00001, I2 = 75%) and 2-h postprandial blood glucose(MD: -0.83mmol/l; [95% CI: -1.01, -0.65]; p < 0.00001, I2 = 0%). In addition, there were also statistically significant improvements in homeostasis model assessment of insulin resistance (HOMA-IR) (standardized mean difference [SMD]: -0.99, [95% CI -1.25 to -0.73]; p < 0.00001, I2 = 0%) and homeostasis model assessment of ß-cell function (HOMA-ß) (SMD: 0.54, [95% CI 0.21 to 0.87]; p = 0.001, I2 = 0%).There was a significant change in the relative abundance of bacteria in the genera Bacteroides (standardized mean difference [SMD] 0.87%; [95% CI 0.58, 1.16], however, the change in Enterococcus abundance was not statistically significant (SMD: -1.71%; [95% CI: -3.64, 0.23]; p = 0.08) when comparing TCM supplementaltreatment with comparator groups. Other changes in the gut microbiota, including changes in the relative abundances of some probiotics and opportunistic pathogens at various taxon levels, and changes in diversity matrices (α and ß), were significant by narrative analysis. However, insufficient evidences were found to support that TCM intervention had an effect on inflammation. CONCLUSION: TCM had the effect of modulating gut microbiota and improving glucose metabolisms in T2DM patients. Although the results of the included studies are encouraging, further well-conducted studies on TCM interventions targeting the gut microbiota are needed.
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Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/microbiologia , Microbioma Gastrointestinal/efeitos dos fármacos , Adulto , Glicemia/metabolismo , Medicamentos de Ervas Chinesas/farmacologia , Humanos , Inflamação/tratamento farmacológico , Inflamação/microbiologia , Medicina Tradicional Chinesa , Ensaios Clínicos Controlados Aleatórios como AssuntoRESUMO
ETHNOPHARMACOLOGICAL RELEVANCE: Berberine (BBR), extracted from the traditional medicinal plant Coptis chinensis Franch., has been widely used for the treatment of type 2 diabetes mellitus (T2DM) and its complications. AIM OF THE STUDY: To determine the potential pharmacological mechanisms underlying BBR therapeutic effect on T2DM and its complications by in silico network pharmacology and experimental in vivo validation. MATERIALS AND METHODS: A predictive network depicting the relationship between BBR and T2DM was designed based on information collected from several databases, namely STITCH, CHEMBL, PharmMapper, TTD, Drugbank, and PharmGKB. Identified overlapping targets related to both BBR and T2DM were crossed with information on biological processes (BPs) and molecular/signaling pathways using the DAVID platform and Cytoscape software. Three candidate targets identified with the BBR-T2DM network (RXRA, KCNQ1 and NR3C1) were evaluated in the C57BL/6J mouse model of T2DM. The mice were treated with BBR or metformin for 10 weeks. Weight, fasting blood glucose (FBG), oral glucose tolerance, and expression levels of the three targets were evaluated. RESULTS: A total of 31 targets of BBR that were also related to T2DM were identified, of which 14 had already been reported in previous studies. Furthermore, these 31 overlapping targets were enriched in 21 related BPs and 18 pathways involved in T2DM treatment. The identified BP-target-pathway network revealed the underlying mechanisms of BBR antidiabetic activity were mediated by core targets such as RXRA, KCNQ1, and NR3C1. In vivo experiments further confirmed that treatment with BBR significantly reduced weight and FBG and alleviated insulin resistance in T2DM mice. Moreover, BBR treatment promoted RXRA expression, whereas it reduced KCNQ1 and NR3C1 expression in the liver. CONCLUSION: Using network pharmacology and a T2DM mouse model, this study revealed that BBR can effectively prevent T2DM symptoms through vital targets and multiple signaling pathways. Network pharmacology provides an efficient, time-saving approach for therapeutic research and the development of new drugs.
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Berberina/farmacologia , Diabetes Mellitus Experimental/tratamento farmacológico , Diabetes Mellitus Experimental/metabolismo , Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/metabolismo , Hipoglicemiantes/farmacologia , Animais , Berberina/química , Berberina/uso terapêutico , Glicemia/efeitos dos fármacos , Peso Corporal/efeitos dos fármacos , Biologia Computacional , Simulação por Computador , Proteínas de Ligação a DNA/metabolismo , Diabetes Mellitus Experimental/complicações , Diabetes Mellitus Tipo 2/complicações , Regulação da Expressão Gênica/efeitos dos fármacos , Redes Reguladoras de Genes/efeitos dos fármacos , Hipoglicemiantes/química , Hipoglicemiantes/uso terapêutico , Canal de Potássio KCNQ1/metabolismo , Camundongos Endogâmicos C57BL , Receptores de Glucocorticoides/metabolismoRESUMO
BACKGROUND: The Gouqi-wentang formula (GQWTF) is a herbal formula used by Academician Xiao-lin Tong for the clinical treatment of T2DM. GQWTF is beneficial to qi, nourishes Yin, clears heat, and promotes fluid production, but the effective components and their mechanism of action remain unclear. METHODS: The main components of GQWTF were detected by LC-MS, and the multi-target mechanisms of GQWTF in T2DM were elucidated using network pharmacology analysis, including target prediction, protein-protein interaction network construction and analysis, Gene Ontology (GO) terms, Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway annotation, and other network construction. Finally, the efficacy of the GQWTF was verified using biological experiments. RESULTS: First, the "herb-channel tropism" network suggested that GQWTF focuses more on treating diseases by recuperating the liver, which is considered as an important insulin-sensitive organ. Subsequently, a total of 16 active ingredients in GQWTF were detected and screened, and their biological targets were predicted. Then, "compound-target" network was constructed, where enrichment analysis of GQWTF targets reflected its potential pharmacological activities. After T2DM-related target identification, 39 cross targets of GQWTF and T2DM were obtained, and 30 key targets highly responsible for the beneficial effect of GQWTF on T2DM were identified by PPI analysis. GO analysis of these key targets showed that many biological processes of GQWTF in treating T2DM are key in the occurrence and development of T2DM, including components related to inflammatory/immune response, insulin, and metabolism. KEGG analysis revealed the regulation of multiple signalling pathways, such as insulin resistance, PPAR signalling pathway, FoxO signalling pathway, Fc epsilon RI signalling pathway, and pathways that influence diabetes primarily by regulating metabolism as well as other T2DM directly related pathways. Furthermore, a "formula-compound-pathway-symptom" network was constructed to represent a global view of GQWTF in the treatment of T2DM. CONCLUSIONS: This study explored the mechanism of action of GQWTF in T2DM by multi-component and multi-target multi pathways, which could provide a theoretical basis for the development and clinical application of GQWTF.
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BACKGROUND: Type 2 diabetes (T2DM), which is the major type of diabetes, accounts for more than 90% of all case of diabetes, and its pathogenesis remains inconclusive. Recent studies have revealed a significant role of gut microbiota in the onset and development of T2DM. Traditional Chinese medicine (TCM) has accumulated rich clinical experience in the treatment of T2DM for thousands of years and a large amount of studies have shown that TCM has the capacity of lowering blood glucose and modulating gut microbiota. The aim of this systematic review is to evaluate all randomized controlled trials on TCM for gut microbiota to assess the effectiveness and safety of TCM in T2DM patients. METHODS: Seven electronic databases (Web of Science, PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, and VIP Information-Chinese Scientific Journal Database) will be searched from inception to present in the English and Chinese languages. Eligible randomized controlled trials evaluating the effect of TCM in T2DM patients, compared with western medicine, placebo or no intervention will be included in the study. The primary outcomes are the glucose metabolism and gut microbiota as well as its metabolites. The second outcomes are changes in weight, and changes in inflammatory markers. Two authors will independently select studies, extract data, and assess the quality of the studies by scanning the titles, abstracts, and full texts. The meta-analysis will be conducted using Review Manager version 5.3. The results will be presented as risk ratios for dichotomous data and adverse events, and as mean differences for continuous data. RESULT: The study will provide a summary of current evidence for the treatment of T2DM from the perspective of gut microbiota by using TCM based on the outcome measures. CONCLUSION: The systematic review will evaluate the efficacy of TCM in treating T2DM from the perspective of gut microbiota, providing current evidence and laying a foundation for further work in the field. PROSPERO REGISTRATION NUMBER: CRD42020188043.
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Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/microbiologia , Medicamentos de Ervas Chinesas/uso terapêutico , Microbioma Gastrointestinal/efeitos dos fármacos , Metanálise como Assunto , Revisões Sistemáticas como Assunto , Adulto , Biomarcadores/sangue , Glicemia/metabolismo , Peso Corporal , Diabetes Mellitus Tipo 2/sangue , Humanos , Inflamação/sangueRESUMO
Traditional Chinese medicine (TCM), an ancient system of alternative medicine, played an active role in the prevention and control of COVID-19 in China. It improved the clinical symptoms of patients, reduced the mortality rate, improved the recovery rate, and effectively relieved the operating pressure on the national medical system during critical conditions. In light of the current global pandemic, TCM-related measures might open up a new channel in the control of COVID-19 in other countries and regions. Here, we summarize the TCM-related measures that were widely used in China, including TCM guidelines, the Wuchang pattern, mobile cabin hospitals, integrated treatment of TCM and modern medicine for critical patients, and non-medicine therapy for convalescent patients, and describe how TCM effectively treated patients afflicted with the COVID-19. Effective TCM therapies could, therefore, be recommended and practiced based on the existing medical evidence from increased scientific studies.
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Betacoronavirus/fisiologia , Controle de Doenças Transmissíveis/métodos , Infecções por Coronavirus , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa/métodos , Pandemias , Pneumonia Viral , Medicina Preventiva/métodos , Assistência ao Convalescente/métodos , Assistência ao Convalescente/organização & administração , COVID-19 , China/epidemiologia , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/tratamento farmacológico , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/prevenção & controle , Infecções por Coronavirus/terapia , Medicamentos de Ervas Chinesas/classificação , Medicamentos de Ervas Chinesas/farmacologia , Humanos , Unidades Móveis de Saúde/organização & administração , Pandemias/prevenção & controle , Assistência ao Paciente/métodos , Pneumonia Viral/diagnóstico , Pneumonia Viral/epidemiologia , Pneumonia Viral/prevenção & controle , Pneumonia Viral/terapia , SARS-CoV-2 , Tratamento Farmacológico da COVID-19RESUMO
The TCM protocol in the Diagnosis and Treatment Protocol for corona virus disease 2019 (COVID-19) (Trial Version 7) has been updated from previous versions. The protocol was formulated under the direct leadership of the National Administration of Traditional Chinese Medicine, based on the experience of a panel of experts, supported by evidence from fever clinics and from the outcomes of emergency (EM) observation rooms and inpatients throughout China (especially in Wuhan, Hubei Province) in combination with the latest scientific research results and data. The present interpretation of the TCM protocol is based on an overall understanding of the revised content, and aims to guide and standardize its clinical application to provide a reference for clinicians.
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Betacoronavirus/efeitos dos fármacos , Infecções por Coronavirus , Medicamentos de Ervas Chinesas/uso terapêutico , Medicina Tradicional Chinesa/métodos , Pandemias , Pneumonia Viral , COVID-19 , China , Protocolos Clínicos , Humanos , Avaliação de Resultados em Cuidados de Saúde/métodos , Avaliação de Resultados em Cuidados de Saúde/estatística & dados numéricos , Fitoterapia , SARS-CoV-2RESUMO
The present study sought to examine the therapeutic effect of a novel antidiabetic monomer combination (AMC) in treating type 2 diabetes mellitus (T2DM); while also elucidating the potential functional mechanism. Male C57BL/6J mice were fed a high-fat diet (HFD) for 12 weeks to establish T2DM. The AMC group showed significant reduction in weight, fasting blood glucose (FBG), serum total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C), and experienced reduced insulin resistance based on oral glucose tolerance testing (OGTT) and hyperinsulinemic-euglycemic clamp testing ("gold standard" for determining in vivo insulin sensitivity). Further, AMC restored the altered intestinal flora by increasing the abundance of the beneficial bacteria Akkermansia, and decreasing the number of harmful bacteria, including Bacteroides, Odoribacter, Prevotella 9, Alistipes, and Parabacteroides. Components of the host-microbial metabolome were also significantly changed in the AMC group compared to the HFD group, including hydroxyphenyllactic acid, palmitoleic acid, dodecanoic acid, linoleic acid, and erucic acid. Furthermore, AMC was found to inhibit inflammation and suppress signaling pathways related to insulin resistance. Lastly, spearman correlation analysis revealed relationships between altered microbial community and co-metabolite levels, co-metabolites and inflammatory cytokines. Hence, the potential mechanism responsible for AMC-mediated alleviation of insulin resistance was suggested to be involved in modulation of bacteria-cometabolism-inflammation responses.
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With improved standards of living, the incidence of multiple metabolic disorders has increased year by year, especially major risk factors for cardiovascular disease such as hyperglycemia and hyperlipidemia, continues to increase. Emerging epidemiological data and clinical trials have shown the additional protective effects of some metabolic therapy drugs against cardiovascular diseases. A series of studies have found that these drugs may work by modulating the composition of gut microbiota. In this review, we provide a brief overview of the contribution of the gut microbiota to both metabolic disorders and cardiovascular diseases, as well as the response of gut microbiota to metabolic therapy drugs with cardiovascular benefits. In this manner, we link the recent advances in microbiome studies on metabolic treatment drugs with their cardiovascular protective effects, suggesting that intestinal microorganisms may play a potential role in reducing cardiovascular risk factors. We also discuss the potential of microorganism-targeted therapeutics as treatment strategies for preventing and/or treating cardiovascular disease and highlight the need to establish causal links between therapeutics for metabolic diseases, gut microbiota modulation, and cardiovascular protection.
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Doenças Cardiovasculares , Microbioma Gastrointestinal , Doenças Metabólicas , Doenças Cardiovasculares/tratamento farmacológico , Doenças Cardiovasculares/prevenção & controle , Fatores de Risco de Doenças Cardíacas , Humanos , Doenças Metabólicas/tratamento farmacológico , Fatores de RiscoRESUMO
OBJECTIVE: During the follow-up of patients recovered from coronavirus disease 2019 (COVID-19) in the quarantine and observation period, some of the cured patients showed positive results again. The recurrent positive RT-PCR test results drew widespread concern. We observed a certain number of cured COVID-19 patients with positive RT-PCR test results and try to analyze the factors that caused the phenomenon. METHODS: We conducted an observational study in COVID-19 patients discharged from 6 rehabilitation stations in Wuhan, China. All observed subjects met the criteria for hospital discharge and were in quarantine. Data regarding age, sex, body mass index (BMI), course of disease, comorbidity, smoking status and alcohol consumption, symptoms in and out of quarantine, and intervention were collected from the subjects' medical records and descriptively analyzed. The main outcome of this study was the RT-PCR test result of the observed subjects at the end of quarantine (negative or positive). Logistic regression analysis was used to identify the influencing factors related to recurrent positive RT-PCR test results. RESULTS: In this observational study, 420 observed subjects recovered from COVID-19 were included. The median age was 56 years, 63.6% of the subjects were above 50 years old, and 50.7% (213/420) were female. The most common comorbidities were hypertension [26.4% (111/420)], hyperlipidemia [10.7% (45/420)], and diabetes [10.5% (44/420)]. 54.8% (230/420) manifested one or more symptoms at the beginning of the observation period, the most common symptoms were cough [27.6% (116/420)], shortness of breath 23.8% (100/420)], and fatigue [16.2% (68/420)], with fever rare [2.6% (11/420)]. A total of 325 subjects were exposed to comprehensive intervention; 95 subjects were absence of intervention. The recurrence rate of positive RT-PCR test results with comprehensive intervention was 2.8% (9/325), and that with no intervention was 15.8% (15/95). The results of logistic regression analysis showed that after adjusted for factors such as age, sex, and comorbidity and found out that comprehensive intervention was correlated with the recurrent positive RT-PCR test results. There was appreciably less recurrence in the comprehensive intervention group. CONCLUSIONS: The factors related to positive RT-PCR test results in observed subjects recovered from COVID-19 were age, comorbidity, and comprehensive intervention, among which comprehensive intervention might be a protective factor. CLINICAL TRIAL REGISTRATION: Chictr.org.cn, identifier ChiCTR2000030747.
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INTRODUCTION: In the present meta-analysis, we aimed to determine the effects of adjuvant treatment with Chinese herbal medicine (CHM) on antidiabetic agents having additional benefits in patients with type 2 diabetes. METHODS: Randomized controlled trials were identified by searching the Cochrane Library, PUBMED, EMBASE, MEDLINE, the China National Knowledge Internet, Web of Science, Global Health, International Pharmaceutical Abstracts and the China biology medicine, Wanfang, and VIP databases. The intervention group received CHM as add-on treatment to antidiabetic agents therapy, and the control group received placebos in addition to antidiabetic agents or antidiabetic agents alone. We assessed pooled data, including weighted mean differences and 95% confidence intervals (CIs) using a random-effects model. RESULTS: A total of 125 randomized controlled trials were included. 10 articles were included based on literature screening. All trials contrasted Chinese herbal medicines or Chinese herbal medicines + antidiabetic agents with placebo or antidiabetic agents + placebo and included a total of 2004 individuals with T2DM. All selected trials displayed evidence of high methodological quality and possessed a low risk of bias. Meta-analysis of the trials demonstrated that Chinese herbal medicines resulted in a more favorable blood glucose profile in contrast to placebo (P<0.05). The total efficacy rate differed significantly between the two groups (P<0.001). All ten included studies reported the occurrence of tolerable adverse effects. CONCLUSIONS: The results showed that in the intervention group, greater reductions were achieved for glucose control and body weight. The combined use of drugs improves the curative effect and has fewer adverse events and has additional benefits in patients with type 2 diabetes. This trial is registered with PROSPERO (CRD42018093867).