Effectiveness of Traditional Chinese Medicine on coronavirus disease 2019 in 92 patients: a retrospective study.

OBJECTIVE: To investigate the antipyretic effect of early treatment with Traditional Chinese Medicine (TCM) on coronavirus disease 2019 (COVID-19) patients. METHODS: We retrospectively analyzed 369 patients from January 26th, 2020 to April 15th, 2020, who had been diagnosed with COVID-19. Among 92 eligible cases, 45 cases were identified as treatment group Ⅰ ( 45) and 47 cases were identified as treatment group Ⅱ. Patients in the treatment group Ⅰ were treated with TCM herbal decoction within 5 d after admission. Patients in the treatment group Ⅱ were treated with TCM herbal decoction after the 6th admission day. The onset time of antipyretic effect, the antipyretic time, the time of negative oropharyngeal swab nucleic acid conversion, and the changes of cell count in blood routine test were compared. RESULTS: The treatment group I showed shorter average antipyretic duration (4 7 d; <0.05), and shorter average time for polymerase chain reaction (PCR) nucleic acid test results to turn negative (7 11 d; <0.05) than the treatment group II. For patients ( 54) with body temperature>38 ℃, patients in the treatment group I had shorter median onset time of antipyretic effect than those in the treatment group II (3 4 d; <0.05). The absolute lymphocyte (LYMPH) count and absolute eosinophil (EOS) count on the 3rd day after admission and the neutrophil/lymphocyte ratio on the 6th day after admission of patients in the treatment group I were notably different from those in the treatment group II at the same time point (0.05). Based on Spearman's rank correlation analysis, the change of body temperature on the 3rd day after admission was positively correlated with the increase of EOS count and the increase of EOS count and LYMPH counts on the 6th day after admission (0.01). CONCLUSIONS: Early TCM intervention within 5 d after hospital admission shortened the onset time of antipyretic effect and fever duration of COVID-19 patients, reduced the time required for PCR test results to turn negative. Moreover, early TCM intervention also improved the results of inflammatory markers for COVID-19 patients. LYMPH and EOS counts can be used as indicators of TCM antipyretic effect.

Assessment of the potential value of combining western medicine therapies with traditional chinese medicine in the treatment of COVID-19: Mechanistic perspectives.

BACKGROUND: The pandemic caused by the novel coronavirus disease (COVID-19) since early 2020 is one of the most significant global health issues in history. Although there is currently no specific treatment for COVID-19, researchers have provided a whole array of potential treatments, both from the Western medicine approach, which is molecular target and pathogenesis based, and from the traditional Chinese medicine (TCM) approach, which is based on the exposure to toxins/pathogens and the balance of the body to combat them for recovery. OBJECTIVE: The aim of this research is to find combinations of Western medicine and TCM that may offer better therapeutic efficacy synergystically with a better adverse events profile. The findings of the research may provide a new insight in the development of the treatment of COVID-19. METHODS: From the Western medicine perspective, drugs target the mechanisms of viral infection, including the stages of viral entry (Arbidol, Camostat Mesylate, Convalescent Plasma therapy) and viral replication (Lopinavir/Ritonavir, Redemsivir, Ribavirin). Additional therapies target host defenses, preventing cytokine storms (Tocilizumab) and stimulating the immune system (Interferons). On the other hand, TCM also proposed a number of treatment methods for COVID-19 with new scientific approaches identifying their antiviral and immunomodulatory activities. The novel combination of Western medicine and TCM can be proposed by analyzing their respective molecular targets. RESULTS: Although TCM is not generally accepted in the Western community because of the general lack of knowledge on their detailed mechanisms, studies and clinical trials suggest that TCM could be beneficial in combating COVID-19. CONCLUSION: Based on the principle of combining TCM and Western medicine, two combinations are tested effective in clinical trials, and three possible combinations that might be effective are proposed in the paper.

Traditional Chinese Medicine for COVID-19: A Network Meta-Analysis and Systematic Review.

To compare the efficacy of different traditional Chinese medicine (TCM) therapies for the treatment of coronavirus disease 2019 (COVID-19) and provide a higher level of evidence in the form of network meta-analysis (NMA) and systematic review. We searched the studies from the following databases: CNKI, VIP, WanFang, SinoMed, PubMed, Embase, and Web of Science from the establishment of the respective database until December 2021. Relevant studies were screened according to the pre-established inclusion criteria. The quality of the included randomized controlled trials (RCTs) and controlled clinical trials (CCTs) were assessed using the risk of bias (ROB) tool and the Methodological Index for Non-Randomized Studies (MINORS), respectively. R software 4.1.1 and Stata 13.1 were used for data analysis and mapping. A total of 34 studies were included in this network meta-analysis that tested 24 TCM interventions and included 3443 patients. Using cluster analysis of time to negative SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR), the length of hospital stay and composite events, we found that Jinyinhua oral liquid (JYH, 120 mL) + conventional Western medicine (CWM) has the highest SUCRA value at 88.64%, 85.61% and 84.24%. The traditional meta-analysis results revealed that Qingfei Paidu decoction + CWM were significantly different compared with CWM alone for the score of clinical symptoms (MD =-0.75, 95% CI [-1.04, -0.47]). Nine studies reported 57 adverse reactions (ADRs) and 3 adverse events (ADEs) in TCM + CWM groups, and eight studies reported 33 ADRs and 8 ADEs in CWM groups. In conclusion, the combination of TCM and CWM approaches may enhance the efficacy of CWM in COVID-19 patients. Based on the NMA result, JYH (120 mL) + CWM may be a more effective treatment and deserves further investigation. However, the differences in many comparisons between TCM interventions did not reach statistical significance; therefore, further high-quality studies are required to validate these findings.

Exploring Innovation with Scientific Thinking.

The mode of scientific thinking is undergoing rapid and profound changes. In the 21st century, macro and micro civilizations go parallel. A systematic and scientific methodology is required for the study of complex things. The thinking mode in modern medicine is gradually shifting from analytical, reductive thinking to holistic and systematic thinking. As such Western medicine and traditional Chinese medicine are gradually approaching the epistemology of health and disease state. The importance of scientific thinking in innovation has been expounded in this study. The development trends in medicine in the current era are analyzed, the importance of systems theory in the study of human bodies is discussed, and a new medical model named Novel Systems Medicine is proposed.

Comparison of the incidence of adverse reactions between herbal decoction and Chinese patent medicine combined with western medicine in treatment of COVID-19: A protocol for systematic review and meta-analysis.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) is an acute respiratory infectious disease that has led to millions of confirmed cases and deaths worldwide. Traditional Chinese Medicine plays an irreplaceable role in the treatment and prevention of epidemics in China. Western medicine improves clinical symptoms as well as bringing many adverse reactions. The combination of Chinese and western medicine can significantly improve the clinical symptoms and efficacy of patients. Currently, there is a lack of systematic reviews on the comparison of the incidence of adverse reactions between the difference treatments. We conducted this study to evaluate the comparison of the incidence of adverse reactions between herbal decoction and Chinese patent medicine combined with western medicine in treatment of COVID-19. METHODS AND ANALYSIS: Randomized controlled trials in 9 databases from December 2019 to September 2022, will be included, without language restrictions. Two independent researchers will screen and select studies, extract data, and evaluate the study quality. The Cochrane risk-of-bias tool for randomized controlled trials will be used to assess the risk of bias in the included studies. Statistical analyses will be conducted using Review Manager. RESULTS: Our findings will compare the incidence of adverse reactions between herbal decoction and Chinese patent medicine combined with western medicine in treatment of COVID-19, which will be disseminated in a relevant conference and published in a peer-reviewed publication. ETHICS AND DISSEMINATION: This study will not include personal information. Ethical approval is not required for this study. PROSPERO REGISTRATION NUMBER: CRD42022371001.

Efficacy and safety of Qi and Blood Tonic Chinese Medicines in the treatment of COVID-19: A protocol for systematic review and meta-analysis.

BACKGROUND: Coronavirus disease in 2019 (COVID-19) is a sudden public event affecting all human beings, with the rapid transmission, extensive groups affected, many complications, and high mortality. Traditional Chinese Medicine has a long history of preventing and treating infectious diseases, and numerous studies have shown that Traditional Chinese Medicine, especially herbal medicine, has a positive effect on the prevention, treatment, and post-healing recovery of this COVID-19, and herbal medicines to supplement qi and blood often occupy a certain proportion of it. However, there is no relevant meta-analysis to date. Therefore, this study aims to evaluate the efficacy and safety of qi and blood tonic herbal medicines in the treatment of COVID-19 through Systematic Review and meta-analysis to provide a reference basis for widespread clinical application. METHODS: We will search from the following databases for the period from the time of database construction to March 1st, 2023. The English databases include: PubMed, MEDLINE, EMBASE, Cochrane library, WOS, Google Scholar, and CENTRAL; The Chinese databases include: China National Knowledge Infrastructure, China Biomedical Literature Database, Technology Journal Database, and Wanfang. Randomized controlled trials in English or Chinese that include Chinese herbal medicines for tonifying Qi and Blood in the treatment of patients with COVID-19 will be included. Data were independently screened and collected by 2 investigators. The risk of bias for each trial was assessed using the Cochrane Risk of Bias Tool 2.0. RevMan 5.3 software was used for the meta-analysis of the data. Primary outcome indicators included cure, mortality, and exacerbation rates (change in disease severity category, patient admission to ICU, etc.). Secondary outcome indicators included recovery rate or duration of major symptoms (e.g., fever, cough, fatigue, and weakness, etc.), rate or duration of nucleic acid conversion for severe acute respiratory syndrome coronavirus-2, improvement or recovery of chest CT performance, length of hospital stay, and other adverse events. RESULTS: This protocol adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-P guidelines to ensure clarity and completeness of reporting in all phases of the systematic review. CONCLUSION: This study will provide evidence regarding the efficacy and safety of Qi and Blood Tonic Chinese Medicines for the treatment of COVID-19. PROSPERO REGISTRATION NUMBER: CRD42022361822 (https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022361822).

Using Text Mining and Data Visualization Approaches for Investigating Mental Illness from the Perspective of Traditional Chinese Medicine.

Background and Objectives. Anxiety and depressive disorders are the most prevalent mental disorders, and due to the COVID-19 pandemic, more people are suffering from anxiety and depressive disorders, and a considerable fraction of COVID-19 survivors have a variety of persistent neuropsychiatric problems after the initial infection. Traditional Chinese Medicine (TCM) offers a different perspective on mental disorders from Western biomedicine. Effective management of mental disorders has become an increasing concern in recent decades due to the high social and economic costs involved. This study attempts to express and ontologize the relationships between different mental disorders and physical organs from the perspective of TCM, so as to bridge the gap between the unique terminology used in TCM and a medical professional. Materials and Methods. Natural language processing (NLP) is introduced to quantify the importance of different mental disorder descriptions relative to the five depots and two palaces, stomach and gallbladder, through the classical medical text Huangdi Neijing and construct a mental disorder ontology based on the TCM classic text. Results. The results demonstrate that our proposed framework integrates NLP and data visualization, enabling clinicians to gain insights into mental health, in addition to biomedicine. According to the results of the relationship analysis of mental disorders, depots, palaces, and symptoms, the organ/depot most related to mental disorders is the heart, and the two most important emotion factors associated with mental disorders are anger and worry & think. The mental disorders described in TCM are related to more than one organ (depot/palace). Conclusion. This study complements recent research delving into co-relations or interactions between mental status and other organs and systems.

Relationship between Tai Chi and clinical outcomes in elderly patients with COVID-19: a protocol for systematic review and dose-response meta-analysis.

INTRODUCTION: COVID-19 has posed a serious threat to people worldwide, especially the older adults, since its discovery. Tai Chi as a traditional Chinese exercisethat belongs to traditional Chinese medicine has proven its effectiveness against COVID-19. However, no high-quality evidence is found on the dose-response relationships between Tai Chi and clinical outcomes in patients with COVID-19. This study will evaluate and determine the clinical evidence of Tai Chi as a treatment in elderly patients with COVID-19. METHODS AND ANALYSIS: The following electronic bibliographical databases including PubMed, EMBASE, Web of Science, Cochrane Library, China National Knowledge Infrastructure, VIP Database and Wanfang Database will be screened from their inception date to 30 June 2022. All eligible randomised controlled trials or controlled clinical trials related to Tai Chi for elderly patients with COVID-19 will be included. The primary outcomes are forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio (FEV1%). The secondary outcomes are the time of main symptoms disappearance, length of hospital stay, serum levels of interleukin (IL)-6, IL-1b and tumour necrosis factor-α, and adverse event rate. Two independent reviewers will select the studies, extract the data, and analyse them on EndNote V.X9.0 and Stata V.12.1. The robust error meta-regression model will be used to establish the dose-response relationships between Tai Chi and clinical outcomes. The heterogeneity and variability will be analysed by I2 and τ2 statistics. Risk of bias, subgroup analysis and sensitivity analysis will also be performed. The quality of evidence will be assessed by the Grading of Recommendations Assessment, Development and Evaluation, and the risk of bias will be evaluated by using the Physiotherapy Evidence Database Scale. ETHICS AND DISSEMINATION: This study will review published data; thus, obtaining ethical approval and consent is unnecessary. The results will be disseminated through peer-reviewed publications. PROSPERO REGISTRATION NUMBER: CRD42022327694.

Tongue and pulse features of 668 asymptomatic patients infected with the severe acute respiratory syndrome coronavirus 2 omicron variant in Shanghai.

OBJECTIVE: To characterize the tongue and pulse manifestations in asymptomatic coronavirus disease 2019 (COVID-19) cases in Shanghai. METHODS: We conducted a clinical study of 668 patients with asymptomatic infections in which we analyzed the tongue and pulse features in the Shanghai New International Expo Center mobile cabin hospital. The medical records of the patients, including tongue color, tongue coating, and pulse manifestations, were reviewed by healthcare workers. RESULTS: In total, 668 COVID-19 cases were included in the study. Patient age ranged from 5 to 96 years, with a median of 44.0 (IQR 33.0-53.0) years. Among the patients, 6.14% had comorbidities. The most common comorbid condition was diabetes (1.65%), followed by hypertension (0.89%), coronary heart disease (0.89%), thrombotic diseases (0.89%), congestive heart failure (0.60%), and stroke (0.45%). Pink-red (75.4%) was the most common tongue color, followed by red (23.4%) and pale red (1.2%). Tongue coating color and thickness were classified as white fur (9.28%), thin and yellow fur (48.65%), white greasy fur (8.98%), yellow greasy fur (24.70%), and less coating (8.39%). In addition, a large number of patients ( 300, 44.91%) presented superficial and rapid pulses, and 250 patients (37.4%) exhibited a slippery pulse. CONCLUSION: Our preliminary results showed that wind, heat, and dampness were the main etiologies of the severe acute respiratory syndrome coronavirus 2 Omicron (B.1.1.529) variant infection in traditional Chinese medicine. Furthermore, the main symptoms of the disease may be wind-heat invading the lung syndrome or damp-heat with the exuberance of virulence syndrome, which is of most significance in COVID-19 treatment.

Traditional Chinese medicine combined with Moxibustion in the treatment of "long-COVID": A protocol for systematic review and meta-analysis.

BACKGROUND: From the end of 2019 to now, COVID-19 is still prevalent, which poses a great threat to international public health. With the increasing number of people infected, the number of patients with COVID-19 sequelae is also increasing, but there is no specific drug for COVID-19 sequelae. In China, traditional Chinese medicine combined with acupuncture has been widely used in COVID-19 sequelae, but there is still a lack of evidence-based medicine evaluation. The purpose of this study was to evaluate the efficacy and safety of traditional Chinese medicine combined with moxibustion in the treatment of COVID-19 sequelae. METHODS: According to the retrieval strategy, the "long COVID" randomized controlled trial of traditional Chinese medicine combined with moxibustion will be search in eight databases composed of PubMed, Embase, Web of Science, China National knowledge Infrastructure Database, China Biomedical Database and China Science and Technology Journal Database, regardless of publication date or language. The study was screened according to the inclusion and exclusion criteria, and the Cochrane risk bias assessment tool was used to evaluate the quality of the study. Meta-analysis was carried out using RevMan5.3 and STATA12.0 software. Finally, the level of evidence of the results will be evaluated. RESULTS: This study will evaluate whether traditional Chinese medicine combined with moxibustion can effectively treat the symptoms of COVID-19 sequelae. CONCLUSION: This study will provide evidence whether there is benefit of traditional Chinese medicine combined with moxibustion in the treatment of COVID-19 sequelae. At the same time, our research results will provide a reference for clinical decision-making and guiding development in the future.

Methodology of network pharmacology for research on Chinese herbal medicine against COVID-19: A review.

Traditional Chinese medicine, as a complementary and alternative medicine, has been practiced for thousands of years in China and possesses remarkable clinical efficacy. Thus, systematic analysis and examination of the mechanistic links between Chinese herbal medicine (CHM) and the complex human body can benefit contemporary understandings by carrying out qualitative and quantitative analysis. With increasing attention, the approach of network pharmacology has begun to unveil the mystery of CHM by constructing the heterogeneous network relationship of "herb-compound-target-pathway," which corresponds to the holistic mechanisms of CHM. By integrating computational techniques into network pharmacology, the efficiency and accuracy of active compound screening and target fishing have been improved at an unprecedented pace. This review dissects the core innovations to the network pharmacology approach that were developed in the years since 2015 and highlights how this tool has been applied to understanding the coronavirus disease 2019 and refining the clinical use of CHM to combat it.

Mining intrinsic information of convalescent patients after suffering coronavirus disease 2019 in Wuhan.

OBJECTIVE: To summarize the potential characteristics of convalescent patients with coronavirus disease 2019 (COVID-19) in China based on emerging clinical tongue data and guide the treatment and recovery of COVID-19 patients from the perspective of Traditional Chinese Medicine tongue diagnosis. METHODS: In this study, we developed and validated radiomics-based and lab-based methods as a novel approach to provide individualized pretreatment evaluation by analyzing different features to mine the orderliness behind tongue data of convalescent patients. In addition, this study analyzed the tongue features of convalescent patients from clinical tongue qualitative values, including thick and thin, fur, peeling, fat and lean, tooth marks and cracked, and greasy and putrid fur. RESULTS: We included 2164 tongue images in total (34% from day 0, 35.4% from day 14 and 30.6% from day 28) from convalescent patients. The significance results are shown as follows. Firstly, as the recovery time prolongs, the L average values of tongue and coat decrease from 60.21 to 57.18 and from 60.06 to 57.03 respectively. Secondly, the decrease of abnormality rate of tongue coat, included greasy tongue fur, putrid fur, teeth-mark, thick-thin fur, are of significant statistical difference ( < 0.05). Thirdly, the average value of gray-level co-occurrence matrices increases from 0.173 to 0.194, the average value of entropy increases from 0.606 to 0.665, the average value of inverse difference normalized decrease from 0.981 to 0.979, and the average value of dissimilarity decrease from 0.1576 to 0.1828. The details of other radiomics features are describe in results section. CONCLUSIONS: Our experiment shows that patients in different recovery periods have a relationship with quantitative values of tongue images, including L color space of the tongue and coat radiomics features analysis. This relationship can help clinical doctors master the recovery and health of patients as soon as possible and improve their understanding of the potential mechanisms underlying the dynamic changes and mechanisms underlying COVID-19.

Bioactive Components of Houttuynia cordata Thunb and Their Potential Mechanisms Against COVID-19 Using Network Pharmacology and Molecular Docking Approaches.

We investigated the molecular mechanism by which Houttuynia cordata Thunb (HCT) may intervene in coronavirus disease 2019 (COVID-19) and COVID-19-induced cytokine storms using network pharmacology and molecular docking approaches. Using the Traditional Chinese medicine Systems Pharmacology Database and Analysis Platform (TCMSP), a "component-target-pathway" topology map of HCT for COVID-19 treatment was constructed using Cytoscape. Core target genes were analyzed using the STRING database, and the signal pathway map and biological mechanism of COVID-19 therapy were obtained using cluster profilers. Active components of HCT were docked with severe respiratory syndrome coronavirus 2 (SARS-CoV-2) 3C-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp) using AutoDockTools. Data visualization and statistical analysis were conducted using the R program. A molecular dynamic simulation was carried out with the Groningen Machine for Chemical Simulation program. HCT had six active anti-COVID-19 ingredients and 45 molecular targets. Their crucial target proteins for COVID-19 treatment were the RELA (nuclear factor kappa B [NF-κB] p65 subunit), interleukin 6, and mitogen-activated protein kinase 1. In functional enrichment analysis, the potential molecular targets of active components of HCT for COVID-19 treatment belonged to 18 signaling pathways (adjusted P = 2.12E-11). Gene ontology obtained by Kyoto Encyclopedia of Genes and Genome enrichment screening showed that the primary mechanism of COVID-19 treatment was upregulation of protein kinase C followed by downregulations of T cell differentiation and proliferation and NF-κB signaling. Molecular docking showed that the active components of HCT (quercetin and kaempferol) had similar binding affinities for SARS-CoV-2 3CLpro and SARS-CoV-2 RdRp, primary COVID-19 target proteins as did clinically used drugs. These results were confirmed with molecular dynamics simulation. In conclusion, multiple components of HCT, especially quercetin and kaempferol, have the potential to treat COVID-19 infection and COVID-19-induced cytokine storm by targeting multiple proteins.

Mind-Body Therapies From Traditional Chinese Medicine: Evidence Map.

Background: The mind-body therapies of traditional Chinese medicine include several intervention types and combine physical poses with conscious relaxation and breathing techniques. The purpose of this Evidence Map is to describe these different interventions and report related health outcomes. Methods: This evidence map is based on the 3iE Evidence Gap Map methodology. We searched seven electronic databases (BVS, PUBMED, EMBASE, PEDro, ScienceDirect, Web of Sciences, and PschyInfo) from inception to November 2019 and included systematic reviews only. Systematic reviews were analyzed based on AMSTAR 2. We used Tableau to graphically display quality assessment, the number of reviews, outcomes, and effects. Results: The map is based on 116 systematic reviews and 44 meta-analyses. Most of the reviews were published in the last 5 years. The most researched interventions were Tai Chi and Qi Gong. The reviews presented the following quality assessment: 80 high, 43 moderate, 23 low, and 14 critically low. Every 680 distinct outcome effect was classified: 421 as potential positive; 237 as positive; 21 as inconclusive/mixed; one potential negative and none no effect. Positive effects were related to chronic diseases; mental indicators and disorders; vitality, well-being, and quality of life. Potential positive effects were related to balance, mobility, Parkinson's disease, hypertension, joint pain, cognitive performance, and sleep quality. Inconclusive/mixed-effects justify further research, especially in the following areas: Acupressure as Shiatsu and Tuiná for nausea and vomiting; Tai Chi and Qi Gong for acute diseases, prevention of stroke, stroke risk factors, and schizophrenia. Conclusions: The mind-body therapies from traditional Chinese medicine have been applied in different areas and this Evidence Map provides a visualization of valuable information for patients, professionals, and policymakers, to promote evidence-based complementary therapies.

Clinical data mining reveals Gancao-Banxia as a potential herbal pair against moderate COVID-19 by dual binding to IL-6/STAT3.

BACKGROUND: Coronavirus disease 2019 (COVID-19) keeps spreading globally. Chinese medicine (CM) exerts a critical role for the prevention or therapy of COVID-19 in an integrative and holistic way. However, mining and development of early, efficient, multisite binding CMs that inhibit the cytokine storm are imminent. METHODS: The formulae were extracted retrospectively from clinical records in Hunan Province. Clinical data mining analysis and association rule analysis were employed for mining the high-frequency herbal pairs and groups from formulae. Network pharmacology methods were applied to initially explore the most critical pair's hub targets, active ingredients, and potential mechanisms. The binding power of active ingredients to the hub targets was verified by molecular docking. RESULTS: Eight hundred sixty-two prescriptions were obtained from 320 moderate COVID-19 through the Hunan Provincial Health Commission. Glycyrrhizae Radix et Rhizoma (Gancao) and Pinelliae Rhizoma (Banxia) were used with the highest frequency and support. There were 49 potential genes associated with Gancao-Banxia pair against moderate COVID-19 patients. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) indicated that Gancao-Banxia might act via inflammatory response, viral defense, and immune responses signaling pathways. IL-6 and STAT3 were the two most hub targets in the protein-protein interaction (PPI) network. The binding of five active ingredients originated from Gancao-Banxia to IL-6-STAT3 was verified by molecular docking, namely quercetin, coniferin, licochalcone a, Licoagrocarpin and (3S,6S)-3-(benzyl)-6-(4-hydroxybenzyl)piperazine-2,5-quinone, maximizing therapeutic efficacy. CONCLUSIONS: This work provided some potential candidate Chinese medicine formulas for moderate COVID-19. Among them, Gancao-Banxia was considered the most potential herbal pair. Bioinformatic data demonstrated that Gancao-Banxia pair may achieve dual inhibition of IL-6-STAT3 via directly interacting with IL-6 and STAT3, suppressing the IL-6 amplifier. SARS-CoV-2 models will be needed to validate this possibility in the future.

Effects of traditional Chinese exercise on the treatment of COVID-19: A protocol for systematic review.

INTRODUCTION: Since the end of December 2019, corona virus disease 2019 (COVID-19) has caused a huge impact in many countries and has attracted great attention from countries around the world. In fact, many studies have shown that during the fight against the COVID-19 epidemic. Chinese traditional exercise plays an active role in promoting human health. The main purpose of this study is to provide a reliable method and credible evidence to improve the prognosis of patients with COVID-19 through traditional Chinese exercise. METHODS: This protocol is guided by the preferred reporting items for systematic reviews. By searching the following electronic databases: PubMed, EMBASE, MEDLINE, Cochrane Library, Web of Science, China National Knowledge Infrastructure Database, China Biomedical Literature Database, China Science, and Wan-Fang Database. The whole process includes selecting high-quality literature, extracting and analyzing, and assessing the risk of bias in order to summarize the therapeutic effect of traditional Chinese exercise on COVID-19 patients. RESULT: Research shows that prevention and treatment through traditional Chinese exercise can provide strong evidence against COVID-19. CONCLUSION: To provide a way to help prevent and treat COVID-19 through traditional Chinese exercise.

Prevention, treatment and potential mechanism of herbal medicine for Corona viruses: A review.

The pandemic of coronavirus disease 2019 (COVID-19) caused by the SARS-coronavirus 2(SARS-CoV-2) virus has become the greatest global public health crisis in recent years,and the COVID-19 epidemic is still continuing. However, due to the lack of effectivetherapeutic drugs, the treatment of corona viruses is facing huge challenges. In thiscontext, countries with a tradition of using herbal medicine such as China have beenwidely using herbal medicine for prevention and nonspecific treatment of corona virusesand achieved good responses. In this review, we will introduce the application of herbalmedicine in the treatment of corona virus patients in China and other countries, andreview the progress of related molecular mechanisms and antiviral activity ingredients ofherbal medicine, in order to provide a reference for herbal medicine in the treatment ofcorona viruses. We found that herbal medicines are used in the prevention and fightagainst COVID-19 in countries on all continents. In China, herbal medicine has beenreported to relieve some of the clinical symptoms of mild patients and shorten the length of hospital stay. However, as most herbal medicines for the clinical treatment of COVID-19still lack rigorous clinical trials, the clinical and economic value of herbal medicines in theprevention and treatment of COVID-19 has not been fully evaluated. Future work basedon large-scale randomized, double-blind clinical trials to evaluate herbal medicines andtheir active ingredients in the treatment of new COVID-19 will be very meaningful.

Constructing tongue coating recognition model using deep transfer learning to assist syndrome diagnosis and its potential in noninvasive ethnopharmacological evaluation.

ETHNOPHARMACOLOGICAL RELEVANCE: Tongue coating has been used as an effective signature of health in traditional Chinese medicine (TCM). The level of greasy coating closely relates to the strength of dampness or pathogenic qi in TCM theory. Previous empirical studies and our systematic review have shown the relation between greasy coating and various diseases, including gastroenteropathy, coronary heart disease, and coronavirus disease 2019 (COVID-19). However, the objective and intelligent greasy coating and related diseases recognition methods are still lacking. The construction of the artificial intelligent tongue recognition models may provide important syndrome diagnosis and efficacy evaluation methods, and contribute to the understanding of ethnopharmacological mechanisms based on TCM theory. AIM OF THE STUDY: The present study aimed to develop an artificial intelligent model for greasy tongue coating recognition and explore its application in COVID-19. MATERIALS AND METHODS: Herein, we developed greasy tongue coating recognition networks (GreasyCoatNet) using convolutional neural network technique and a relatively large (N = 1486) set of tongue images from standard devices. Tests were performed using both cross-validation procedures and a new dataset (N = 50) captured by common cameras. Besides, the accuracy and time efficiency comparisons between the GreasyCoatNet and doctors were also conducted. Finally, the model was transferred to recognize the greasy coating level of COVID-19. RESULTS: The overall accuracy in 3-level greasy coating classification with cross-validation was 88.8% and accuracy on new dataset was 82.0%, indicating that GreasyCoatNet can obtain robust greasy coating estimates from diverse datasets. In addition, we conducted user study to confirm that our GreasyCoatNet outperforms TCM practitioners, yet only consuming roughly 1% of doctors' examination time. Critically, we demonstrated that GreasyCoatNet, along with transfer learning, can construct more proper classifier of COVID-19, compared to directly training classifier on patient versus control datasets. We, therefore, derived a disease-specific deep learning network by finetuning the generic GreasyCoatNet. CONCLUSIONS: Our framework may provide an important research paradigm for differentiating tongue characteristics, diagnosing TCM syndrome, tracking disease progression, and evaluating intervention efficacy, exhibiting its unique potential in clinical applications.