On the value of apricot kernel in modern medicine and its future development

Apricot kernels are one of the most regularly used traditional Chinese medicinal ingredients in Asia. The medical significance of apricot kernels is highlighted since Traditional Chinese Medicine (TCM) demonstrated its favourable impact when apricot kernels were used in the prevention and treatment of Corona Virus Disease 2019 (COVID-19). Furthermore, apricot kernels are high in fat, protein, dietary fibre, and specific amygdalin, making them a new form of dried fruit in comparison to almond kernels, with a bigger market opportunity. This paper systematically reviewed the active components of apricot kernels and their application in medicine, especially for molecular mechanisms of anti-tumors of amygdalin, providing scientific theoretical foundations for modern medicine treatment with COVID-19-induced lung disease, and for the development of high value-added apricot kernels.

The Role of Business Environment and Digital Government in Mitigating Supply Chain Vulnerability - Evidence from the COVID-19 Shock

In recent years, the continuous spread of the COVID-19 epidemic has impacted the supply chain of enterprises. Mitigating the supply chain's vulnerability has great significance for the survival and development of enterprises. Optimizing the business environment and building a digital government will help improve the external environment for enterprise development. However, its impact on the vulnerability of the enterprise supply chain has yet to be studied. Taking the impact of COVID-19 as an example, this paper uses the survey data of nearly 40,000 enterprises of the National Federation of Industry and Commerce in 2020 and '10,000 private enterprises evaluating the business environment';, to conduct systematic empirical research and fill the research gap in this area. The study indicates that the business environment and digital government can significantly mitigate the impact of COVID-19 on the supply chain. This conclusion is still valid after a series of robustness tests. Mechanism analysis demonstrates that the business environment and digital government can prompt the government to introduce effective mitigation measures promptly, better guarantee production factors and logistics, and thus improve the vulnerability of the enterprise supply chain. This study deepens our understanding of the economic outcome of the business environment and digital government and also sheds new light on supply chain management.

Pathogenic Mechanism and Multi-omics Analysis of Oral Manifestations in COVID-19

Coronavirus disease 2019 (COVID-19) is a respiratory infectious disease that seriously threatens human life. The clinical manifestations of severe COVID-19 include acute respiratory distress syndrome and multiple organ failure. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causal agent of COVID-19, spreads through contaminated droplets. SARS-CoV-2 particles have been detected in the saliva of COVID-19 patients, implying that the virus can infect and damage the oral cavity. The oral manifestations of COVID-19 include xerostomia and gustatory dysfunction. Numerous studies showed that the four structural proteins of SARS-CoV-2 are its potential pathogenic factors, especially the S protein, which binds to human ACE2 receptors facilitating the entry of the virus into the host cells. Usually, upon entry into the host cell, a pathogen triggers the host’s immune response. However, a mount of multi-omics and immunological analyses revealed that COVID-19 is caused by immune dysregulation. A decrease in the number and phenotypes of immune cells, IFN-1 production and excessive release of certain cytokines have also been reported. In conclusion, this review summarizes the oral manifestations of COVID-19 and multi-omics analysis of SARS-CoV-2 infection.

A study on the willingness and influencing factors of novel coronavirus vaccination among medical personnel in North China.

AIM: To understand the awareness of the willingness to be vaccinated and influencing factors of the new coronavirus vaccine (neo-crown vaccine) among medical personnel in North China and to provide a theoretical basis and application guidelines for the feasibility of coronavirus vaccination by medical personnel to guide the public to actively be vaccinated by taking initiative and obtaining a coronavirus vaccination as soon as possible. METHODS: From April 2021 to June 2021, medical staff in North China were selected to complete an online questionnaire survey using Questionnaire Star to analyze the willingness rate to be vaccinated with the new coronavirus vaccine, and the influencing factors were analyzed using binary logistic regression. RESULTS: Among 621 respondents, 85.7% were willing to be vaccinated after the launch of the new vaccine. In the questionnaire, respondents were asked to answer questions such as "Do you think it is better to receive as few vaccines as possible at the same time?," "If I get the new coronavirus vaccine, I may have serious side effects.," "The new coronavirus vaccine is safe.," "Specifically, for the new coronavirus vaccine, do you think it is safe?," and "Specifically, for the new coronavirus vaccine, do you think it is easy to administer?." These beliefs have an important influence on the vaccination of medical staff with the new coronavirus vaccine in Northern China (OR = 1.610,95% CI: 1.055 ~ 2.456; OR = 1.715,95% CI: 1.164 ~ 2.526; OR = 0.401, 95% CI: 0.212 ~ 0.760; OR = 0.352,95% CI: 0.147 ~ 0.843; OR = 3.688,95% CI: 1.281 ~ 10.502, respectively; All P values < .05). CONCLUSIONS: Medical staff have a high willingness to be vaccinated with the new coronavirus vaccine, which plays a positive role in the publicity of the vaccine.

The Impact of COVID-19 and Vaccine on the Human Nervous System.

The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has precipitated a global health crisis of unprecedented proportions. Due to its severe impact, multiple COVID-19 vaccines are being developed, approved, and manufactured rapidly. However, some serious adverse events (AEs) were reported after the application of them, significantly increasing concerns about the safety and efficacy of the vaccines and doubts about the necessity of vaccination. Particularly, previous vaccination campaigns have shown us that partial vaccination can induce neurologic AEs. Herein, we discuss in depth the involvement of the nervous system during SARS-CoV-2 infection or after vaccination. On the one hand, COVID-19 could pose an enormous threat to human neurological health through direct infection and indirect neurotoxicity effects. On the other hand, our review indicated that only a few serious neurological AEs following vaccination occurred and among which headache was the most common. Moreover, some neurological AEs do not seem to be related to vaccination. Of course, the causal relationships between several vaccines and AEs are considered plausible, and it is not doubtful that these AEs should be taken seriously by clinicians in assessing the potential risks and benefits of vaccinations in special populations. Nevertheless, in the case of the rapid spread of COVID-19, the potential side effects of vaccination on the nervous system should be compared with adverse COVID-19 outcomes rather than being considered alone. Thus, it is obviously a wise option to be vaccinated instead of suffering from serious adverse symptoms of virus infection.

Epidemiological characteristics of COVID-19 in Shanxi Province, China

The aim of this study is to analyze the epidemiological trend and characteristics of 2019 coronavirus diseases (COVID-19) during January 22 to February 28 in 2020 in Shanxi Province to provide scientific basis for epidemic prevention and control. The COVID-19 data were obtained from official website of Health Commission of Shanxi Province and other media. Descriptive epidemiological methods were used to analyze the characteristics of cases. The number of new confirmed cases in Shanxi Province appeared an inflection point on February 8(12). By February 28, 2020, the cumulative incidence of COVID-19 in Shanxi Province was 0.36/100,000, and the proportion of cured and discharged patients was 84.85%. The cumulative incidence was 0.29/100,000 in females and 0.42/100,000 in males, with significant difference (X2=4.866, P < 0.05). The confirmed cases were mainly concentrated in Jinzhong (27.82%), Yuncheng (14.29%) and Taiyuan (15.04%). Most cases had a history of travel or residence in other provinces. In conclusion, the incidence of COVID-19 is decreasing, however, it is necessary to take measures to prevent the imported cases and pay close attention to the origin and destination of the floating population.

Network-Based Approach to Repurpose Approved Drugs for COVID-19 by Integrating GWAS and Text Mining Data

The coronavirus disease 19 (COVID-19) is a global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has a rapidly increasing prevalence and has caused significant morbidity/mortality. Despite the availability of many vaccines that can offer widespread immunization, it is also important to reach effective treatment for COVID-19 patients. However, the development of novel drug therapeutics is usually a time-consuming and costly process, and therefore, repositioning drugs that were previously approved for other purposes could have a major impact on the fight against COVID-19. Here, we first identified lung-specific gene regulatory/interaction subnetworks (COVID-19-related genes modules) enriched for COVID-19-associated genes obtained from GWAS and text mining. We then screened the targets of 220 approved drugs from DrugBank, obtained their drug-induced gene expression profiles in the LINCS database, and constructed lung-specific drug-related gene modules. By applying an integrated network-based approach to quantify the interactions of the COVID-19-related gene modules and drug-related gene modules, we prioritized 13 approved drugs (e.g., alitretinoin, clocortolone, terazosin, doconexent, and pergolide) that could potentially be repurposed for the treatment of COVID-19. These findings provide important and timely insights into alternative therapeutic options that should be further explored as COVID-19 continues to spread.

Studies Progression on the Function of Autophagy in Viral Infection.

Autophagy is a conservative lysosomal catabolic pathway commonly seen in eukaryotic cells. It breaks down proteins and organelles by forming a two-layer membrane structure of autophagosomes and circulating substances and maintaining homeostasis. Autophagy can play a dual role in viral infection and serve either as a pro-viral factor or an antiviral defense element dependent on the virus replication cycle. Recent studies have suggested the complicated and multidirectional role of autophagy in the process of virus infection. On the one hand, autophagy can orchestrate immunity to curtail infection. On the other hand, some viruses have evolved strategies to evade autophagy degradation, facilitating their replication. In this review, we summarize recent progress of the interaction between autophagy and viral infection. Furthermore, we highlight the link between autophagy and SARS-CoV-2, which is expected to guide the development of effective antiviral treatments against infectious diseases.

The impact of cross-border knowledge management on internationalizing Renminbi: lessons from the belt and road initiative

PurposeIn the process of Renminbi (RMB) internationalization, the heterogeneity and complexity in knowledge under the multicultural contexts have been considered as important factors that can have profound impacts on the cross-border flow of the RMB currency. Moreover, COVID-19, an exogenous shock, also triggers more in-depth reflection on the relationship between cross-border knowledge management and the financial risk governance. In addition, the needs to effectively respond to global risks and crises prompt the necessity in systematically establishing an effective cross-border knowledge management mechanism and innovatively solidifying the knowledge bases needed for the further internationalization of the RMB.Design/methodology/approachBased on the analysis on the current status of the RMB internationalization, this paper qualitatively explores some major challenges and difficulties encountered in the process of RMB internationalization from the perspectives of knowledge management and cross-cultural theories. To effectively mitigate these challenges and difficulties, discussions and recommendations centered on three main aspects: cross-cultural management;cognition;and innovation for the further development of the RMB internationalization are also presented in this paper.FindingsBased on the analysis on the cross-border knowledge management and cross-cultural perspectives, this paper identifies three major challenges and difficulties that the RMB internationalization is encountering, including: cultural heterogeneity and its adverse impacts on the communication amongst economic entities;the existence of knowledge iceberg;and the difficulty it presents to cognition and financial innovation. Meanwhile, the authors also present recommendations on the development of the cross-border knowledge management mechanism for furthering the progress of internationalizing the RMB currency.Research limitations/implicationsFrom the perspective of cross-border knowledge management, this study not only elaborates on the recommendations aimed at further promoting the RMB internationalization but also provides reference and guidance for the state, central banks and commercial banks to play better roles in furthering the RMB internationalization.Originality/valueThis paper creatively integrates the micro knowledge management into the macro process of RMB internationalization, thoroughly discusses two main challenges and difficulties encountered in the process of RMB internationalization from the unique perspective of cross-border knowledge management under the multicultural contexts and provides relevant recommendations for RMB’s further internationalization. This study also enriches the exploration of knowledge management outcome variables and further expands the research field of knowledge management.

Screening S protein - ACE2 blockers from natural products: Strategies and advances in the discovery of potential inhibitors of COVID-19.

The Coronavirus disease, 2019 (COVID-19) is caused by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2), which poses a major threat to human life and health. Given its continued development, limiting the spread of COVID-19 in the population remains a challenging task. Currently, multiple therapies are being tried around the world to deal with SARS-CoV-2 infection, and a variety of studies have shown that natural products have a significant effect on COVID-19 patients. The combination of SARS-CoV-2 S protein with Angiotensin converting enzyme II(ACE2) of host cell to promote membrane fusion is an initial critical step for SARS-CoV-2 infection. Therefore, screening natural products that inhibit the binding of SARS-CoV-2 S protein and ACE2 also provides a feasible strategy for the treatment of COVID-19. Establishment of high throughput screening model is an important basis and key technology for screening S protein-ACE2 blockers. Based on this, the molecular structures of SARS-CoV-2 and ACE2 and their processes in the life cycle of SARS-CoV-2 and host cell infection were firstly reviewed in this paper, with emphasis on the methods and techniques of screening S protein-ACE2 blockers, including Virtual Screening (VS), Surface Plasmon Resonance (SPR), Biochromatography, Biotin-avidin with Enzyme-linked Immunosorbent assay and Gene Chip Technology. Furthermore, the technical principle, advantages and disadvantages and application scope were further elaborated. Combined with the application of the above screening technologies in S protein-ACE2 blockers, a variety of natural products, such as flavonoids, terpenoids, phenols, alkaloids, were summarized, which could be used as S protein-ACE2 blockers, in order to provide ideas for the efficient discovery of S protein-ACE2 blockers from natural sources and contribute to the development of broad-spectrum anti coronavirus drugs.

High Child-Pugh and CRUB65 scores predict mortality of decompensated cirrhosis patients with COVID-19: A 23-center, retrospective study.

Background: COVID-19 has rapidly become a major health emergency worldwide. The characteristic, outcome, and risk factor of COVID-19 in patients with decompensated cirrhosis remain unclear.Methods: Medical records were collected from 23 Chinese hospitals. Patients with decompensated cirrhosis and age- and sex-matched non-liver disease patients were enrolled with 1:4 ratio using stratified sampling.Results: There were more comorbidities with higher Chalson Complication Index (p < 0.001), higher proportion of patients having gastrointestinal bleeding, jaundice, ascites, and diarrhea among those patients (p < 0.05) and in decompensated cirrhosis patients. Mortality (p < 0.05) and the proportion of severe ill (p < 0.001) were significantly high among those patients. Patients in severe ill subgroup had higher mortality (p < 0.001), MELD, and CRUB65 score but lower lymphocytes count. Besides, this subgroup had larger proportion of patients with abnormal (PT), activated partial thromboplatin time (APTT), D-Dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBL) and Creatinine (Cr) (p < 0.05). Multivariate logistic regression for severity shown that MELD and CRUB65 score reached significance. Higher Child-Pugh and CRUB65 scores were found among non-survival cases and multivariate logistic regression further inferred risk factors for adverse outcome. Receiver Operating Characteristic (ROC) curves also provided remarkable demonstrations for the predictive ability of Child-Pugh and CRUB65 scores.Conclusions: COVID-19 patients with cirrhosis had larger proportion of more severely disease and higher mortality. MELD and CRUB65 score at hospital admission may predict COVID-19 severity while Child-Pugh and CRUB65 score were highly associated with non-survival among those patients.

Fever and Antipyretic Supported by Traditional Chinese Medicine: A Multi-Pathway Regulation.

The coronavirus disease, 2019 (COVID-19), has spread rapidly around the world and become a major public health problem facing the world. Traditional Chinese medicine (TCM) has been fully committed to treat COVID-19 in China. It improved the clinical symptoms of patients and reduced the mortality rate. In light of the fever was identified as one of leading clinical features of COVID-19, this paper will first analyze the material basis of fever, including pyrogenic cytokines and a variety of the mediators of fever. Then the humoral and neural pathways of fever signal transmission will be described. The scattered evidences about fever recorded in recent years are connected in series. On this basis, the understanding of fever is further deepened from the aspects of pathology and physiology. Finally, combining with the chemical composition and pharmacological action of available TCM, we analyzed the mechanisms of TCMs to play the antipyretic effect through multiple ways. So as to further provide the basis for the research of antipyretic compound preparations of TCMs and explore the potential medicines for the prevention and treatment of COVID-19.

Research Progress on Main Symptoms of Novel Coronavirus Pneumonia Improved by Traditional Chinese Medicine.

Novel coronavirus (COVID-19) pneumonia has become a major threat to worldwide public health, having rapidly spread to more than 180 countries and infecting over 1.6 billion people. Fever, cough, and fatigue are the most common initial symptoms of COVID-19, while some patients experience diarrhea rather than fever in the early stage. Many herbal medicine and Chinese patent medicine can significantly improve these symptoms, cure the patients experiencing a mild 22form of the illness, reduce the rate of transition from mild to severe disease, and reduce mortality. Therefore, this paper summarizes the physiopathological mechanisms of fever, cough, fatigue and diarrhea, and introduces Chinese herbal medicines (Ephedrae Herba, Gypsum Fibrosum, Glycyrrhizae Radix et Rhizoma, Asteris Radix et Rhizoma, Ginseng Radix et Rhizoma, Codonopsis Radix, Atractylodis Rhizoma, etc.) and Chinese patent medicines (Shuang-huang-lian, Ma-xing-gan-shi-tang, etc.) with their corresponding therapeutic effects. Emphasis was placed on their material basis, mechanism of action, and clinical research. Most of these medicines possess the pharmacological activities of anti-inflammatory, antioxidant, antiviral, and immunity-enhancement, and may be promising medicines for the treatment or adjuvant treatment of COVID-19 patients.

How Did Distribution Patterns of Particulate Matter Air Pollution (PM2.5 and PM10) Change in China during the COVID-19 Outbreak: A Spatiotemporal Investigation at Chinese City-Level.

Due to the suspension of traffic mobility and industrial activities during the COVID-19, particulate matter (PM) pollution has decreased in China. However, rarely have research studies discussed the spatiotemporal pattern of this change and related influencing factors at city-scale across the nation. In this research, the clustering patterns of the decline rates of PM2.5 and PM10 during the period from 20 January to 8 April in 2020, compared with the same period of 2019, were investigated using spatial autocorrelation analysis. Four meteorological factors and two socioeconomic factors, i.e., the decline of intra-city mobility intensity (dIMI) representing the effect of traffic mobility and the decline rates of the secondary industrial output values (drSIOV), were adopted in the regression analysis. Then, multi-scale geographically weighted regression (MGWR), a model allowing the particular processing scale for each independent variable, was applied for investigating the relationship between PM pollution reductions and influencing factors. For comparison, ordinary least square (OLS) regression and the classic geographically weighted regression (GWR) were also performed. The research found that there were 16% and 20% reduction of PM2.5 and PM10 concentration across China and significant PM pollution mitigation in central, east, and south regions of China. As for the regression analysis results, MGWR outperformed the other two models, with R2 of 0.711 and 0.732 for PM2.5 and PM10, respectively. The results of MGWR revealed that the two socioeconomic factors had more significant impacts than meteorological factors. It showed that the reduction of traffic mobility caused more relative declines of PM2.5 in east China (e.g., cities in Jiangsu), while it caused more relative declines of PM10 in central China (e.g., cities in Henan). The reduction of industrial operation had a strong relationship with the PM10 drop in northeast China. The results are crucial for understanding how the decline pattern of PM pollution varied spatially during the COVID-19 outbreak, and it also provides a good reference for air pollution control in the future.

Avoiding health worker infection and containing the coronavirus disease 2019 pandemic: Perspectives from the frontline in Wuhan.

Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused great public concern worldwide due to its high rates of infectivity and pathogenicity. The Chinese government responded in a timely manner, alleviated the dilemma, achieved a huge victory and lockdown has now been lifted in Wuhan. However, the outbreak has occurred in more than 200 other countries. Globally, as of 9:56 am CEST on 19 May 2020, there have been 4,696,849 confirmed cases of COVID-19, including 315,131 deaths, reported to Word Health Organization (WHO). The spread of COVID-19 overwhelmed the healthcare systems of many countries and even crashed the fragile healthcare systems of some. Although the situation in each country is different, health workers play a critical role in the fight against COVID-19. In this review, we highlight the status of health worker infections in China and other countries, especially the causes of infection in China and the standardised protocol to protect health workers from the perspective of an anaesthesiologist, in the hope of providing references to reduce medical infections and contain the COVID-19 epidemic.