Mutual Effects of Zinc Concentration and Ratio of Red-Blue Light on Growth and Nutritional Quality of Flowering Chinese Cabbage Sprouts

The nutritional quality and biomass of various sprouts can be enhanced by Zn and red-blue light, especially the Brassica sprouts. However, the combined effects of this two on sprouts are rarely reported. In this study, different Zn concentrations (0, 1.74, 3.48, 10.43 and 17.39 mM) were combined with two ratios of red-blue light-emitting diodes (LEDs) (R: B = 1:2, 1R2B;R: B = 2:1, 2R1B, at 70 μmol m−2 s−1 PPFD, 14 h/10 h, light/dark) to investigate their mutual effects on the growth, mineral elements, and nutritional quality in flowering Chinese cabbage sprouts (FCCS). Fresh weight, dry weight, contents of organic Zn, soluble sugar, vitamin C, total flavonoids, total polyphenol, FRAP (ferric ion-reducing antioxidant power) and DPPH (radical inhibition percentage of 1,1-diphenyl-2-picrylhydrazyl) were significantly increased by Zn supplement (10.43 and 17.39 mM) and 2R1B, while hypocotyl length and moisture content were decreased remarkably by Zn supplement. Total glucosinolates contents in the sprouts increased dramatically under 2R1B compared with 1R2B, while photosynthetic pigments contents decreased. Heat map and principal component analysis showed that 2R1B + 17.39 mM Zn was the optimal treatment for the accumulation of biomass and health-promoting compound in FCCS, suggesting that a suitable combination of light quality and Zn supplement might be beneficial to zinc-biofortified FCCS production.

Psychological symptoms and correlates of Chinese healthcare professionals in the intensive care unit before and after the COVID-19 outbreak: A comparison of two cross-sectional studies.

BACKGROUND: The outbreak of COVID-19 disarranged lives across mainland China. No study has examined changes in psychological symptoms of healthcare professionals in the intensive care unit (ICU) before and after the outbreak of COVID-19. The aim of this study was to estimate changes in psychological symptoms of ICU healthcare professionals before and after the COVID-19 outbreak, and to analyze factors related to psychological symptoms. METHODS: Two waves' administrations were implemented between December 13 and December 14, 2018, and between April 5 and April 7, 2020, respectively. The symptom checklist-90 (SCL-90) were used to evaluate psychological symptoms. Multiple logistical regression was used to reveal the risk of psychological symptoms. RESULTS: A total of 3902 and 3908 ICU healthcare professionals took part in the first and second surveys. The mean total score of the SCL-90 was 179.27 (70.02) at wave 1 and 147.75 (58.40) at wave 2, respectively. The proportion of psychological symptoms was 55.6 % (95%CI = 54.0-57.1) at wave 1. But rates of psychological symptoms decreased to 36.6 % (95%CI = 35.1-38.2) at wave 2. ICU healthcare professionals with western economic belt and 6-10 years of work were more likely to develop psychological symptoms, while ICU healthcare professionals with the later survey and doctoral degree were less likely to develop psychological symptoms. CONCLUSION: Although COVID-19 period benefited psychological symptoms of ICU healthcare professionals, psychological symptoms still had a related high prevalence. Regular screening and appropriate interventions should still be implemented to decrease the risk for psychological symptoms among Chinese ICU healthcare professionals.

The common regulatory pathway of COVID-19 and multiple inflammatory diseases and the molecular mechanism of cepharanthine in the treatment of COVID-19.

Background: Similar pathogenesis makes Corona Virus Disease 2019 (COVID-19) associated with rheumatoid arthritis (RA), ankylosing spondylitis (AS) and gouty arthritis (GA), and it is possible to introduce common drugs for the treatment of RA, AS and GA into the treatment of COVID-19. That is, "homotherapy for heteropathy", especially cytokine inhibitors. But little is known about the specific link between the diseases. In addition, "new use of old drugs" is an important short-term strategy for the treatment of COVID-19. Cepharanthine (CEP), a monomer component of traditional Chinese medicine (TCM), is mainly used in the treatment of leukopenia and has recently been proved to have a good therapeutic effect on COVID-19, but its specific molecular mechanism has not been clearly explained. The purpose of this work is to explore the common targets and signaling pathways among COVID-19, RA, AS, and GA by means of network pharmacology (NP), and to infer the potential mechanism of CEP in the treatment of COVID-19. Methods: Firstly, SwissTargetPrediction was used to predict the targets of CEP, and the pathogenic targets of COVID-19, RA, AS and GA were searched in GeneCards, OMIM, TTD, PharmGKB database and literature, respectively. Then, the protein interaction network of CEP and COVID-19 cross targets and the common targets of COVID-19, RA, AS and GA was constructed. Cytosscape 3.7.2 software was used to construct CEP-common targets-signaling pathways-COVID-19 network, module function analysis, gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG). Finally, the molecular docking of hub targets and CEP was carried out by AutoDock software. Results: The results showed that the common targets of the four diseases were tumor necrosis factor (TNF), interleukin (IL)-6 and IL-1ß, and involved Coronavirus disease, IL-17 signaling pathway and TNF signaling pathway. CEP has a good binding force with AKT Serine/Threonine Kinase 1 (AKT1), phosphatidylinositol 3-kinase (PIK3) CA, PIK3CD and Angiotensin-converting enzyme 2 (ACE2), and plays a role in the treatment of COVID-19 by regulating PI3K-Akt signaling pathway, Relaxin signaling pathway, VEGF signaling pathway and HIF-1 signaling pathway. Conclusion: Therefore, this study not only confirmed the potential mechanism of CEP in the treatment of COVID-19 at the molecular level, but also found that TNF and IL-17 inhibitors, which are commonly used in the treatment of RA, AS and GA, may also affect the treatment of COVID-19, which provides new clues and theoretical basis for the rapid discovery of effective therapeutic drugs for COVID-19.

Risk assessment of global COVID-19 pandemic in June 2022

Objective: To assess the global epidemic of Coronavirus disease 2019(COVID-19) in June 2022 and the risk of importation.

Contagion spread modeling in transport networks and transport operation optimizations for containing epidemics

COVID-19 has critically impacted many aspects of societies worldwide, particularly on mobility. This chapter summarizes impacts of the COVID-19 pandemic, reviews existing research, and identifies future research needs in the scope of traffic theory and modeling/optimization and traffic flow. We first review models on contagion spreading through transportation networks, including aggregated spatial metapopulation models and disaggregated individual-based models. Further research is needed to consider both intercity and intracity mobilities and leverage emerging multiple data resources for constructing individuals’ complete trip chains. Based on modeling contagion spreading, we further discuss transport operation needs in the aftermath of COVID-19. There remains a need for operating multimodal urban transport systems to satisfy basic travel demands while minimizing contagion risks. Relevant research needs are identified in optimizing transport operation via modern data acquisition technologies and advanced modeling methods. Practical intervention measures and policy implications are recommended for optimizing transport systems during the COVID-19 pandemic.

The common regulatory pathway of COVID-19 and multiple inflammatory diseases and the molecular mechanism of cepharanthine in the treatment of COVID-19

Background: Similar pathogenesis makes Corona Virus Disease 2019 (COVID-19) associated with rheumatoid arthritis (RA), ankylosing spondylitis (AS) and gouty arthritis (GA), and it is possible to introduce common drugs for the treatment of RA, AS and GA into the treatment of COVID-19. That is, “homotherapy for heteropathy”, especially cytokine inhibitors. But little is known about the specific link between the diseases. In addition, “new use of old drugs” is an important short-term strategy for the treatment of COVID-19. Cepharanthine (CEP), a monomer component of traditional Chinese medicine (TCM), is mainly used in the treatment of leukopenia and has recently been proved to have a good therapeutic effect on COVID-19, but its specific molecular mechanism has not been clearly explained. The purpose of this work is to explore the common targets and signaling pathways among COVID-19, RA, AS, and GA by means of network pharmacology (NP), and to infer the potential mechanism of CEP in the treatment of COVID-19. Methods: Firstly, SwissTargetPrediction was used to predict the targets of CEP, and the pathogenic targets of COVID-19, RA, AS and GA were searched in GeneCards, OMIM, TTD, PharmGKB database and literature, respectively. Then, the protein interaction network of CEP and COVID-19 cross targets and the common targets of COVID-19, RA, AS and GA was constructed. Cytosscape 3.7.2 software was used to construct CEP-common targets-signaling pathways-COVID-19 network, module function analysis, gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG). Finally, the molecular docking of hub targets and CEP was carried out by AutoDock software. Results: The results showed that the common targets of the four diseases were tumor necrosis factor (TNF), interleukin (IL)-6 and IL-1β, and involved Coronavirus disease, IL-17 signaling pathway and TNF signaling pathway. CEP has a good binding force with AKT Serine/Threonine Kinase 1 (AKT1), phosphatidylinositol 3-kinase (PIK3) CA, PIK3CD and Angiotensin-converting enzyme 2 (ACE2), and plays a role in the treatment of COVID-19 by regulating PI3K-Akt signaling pathway, Relaxin signaling pathway, VEGF signaling pathway and HIF-1 signaling pathway. Conclusion: Therefore, this study not only confirmed the potential mechanism of CEP in the treatment of COVID-19 at the molecular level, but also found that TNF and IL-17 inhibitors, which are commonly used in the treatment of RA, AS and GA, may also affect the treatment of COVID-19, which provides new clues and theoretical basis for the rapid discovery of effective therapeutic drugs for COVID-19.

Investigation on the Mental Health Status of ICU Practitioners and Analysis of Influencing Factors During the Stable Stage of COVID-19 Epidemic in China.

Objective: To understand the impact of COVID-19 epidemic on the mental health status of intensive care unit (ICU) practitioners in China, and to explore the relevant factors that may affect the mental health status of front-line medical workers so as to adopt efficient and comprehensive measures in a timely manner to protect the mental health of medical staff. Methods: The study covered most of the provinces in China, and a questionnaire survey was conducted based on the WeChat platform and the Wenjuanxing online survey tool. With the method of anonymous investigation, we chose ICU practitioners to participate in the investigation from April 5, 2020 to April 7, 2020. The respondents were divided into two groups according to strict criteria of inclusion and exclusion, those who participated in the rescue work of COVID-19 (COVID-19 group) and those who did not (non-COVID-19 group). The SCL-90 self-evaluation scale was used for the evaluation of mental health status of the subjects. Results: A total of 3,851 respondents completed the questionnaire. First, the overall mental health status of the targeted population, compared with the Chinese norm (n = 1,388), was reflected in nine related factor groups of the SCL-90 scale, and significant differences were found in every factor in both men and women, except for the interpersonal sensitivity in men. Second, the overall mental health of the non-COVID-19 group was worse than that of the COVID-19 group by the SCL-90 scale (OR = 1.98, 95% CI, 1.682-2.331). Third, we have revealed several influencing factors for their mental health in the COVID-19 group, current working status (P < 0.001), satisfaction of diet and accommodation (P < 0.05), occupational exposure (P = 0.005), views on the risk of infection (P = 0.034), and support of training (P = 0.01). Conclusion: The mental health status of the ICU practitioners in the COVID-19 group is better than that of the non-COVID-19 group, which could be attributed to a strengthened mentality and awareness of risks related to occupational exposure and enforced education on preventive measures for infectious diseases, before being on duty.

Published anti-SARS-CoV-2 in vitro hits share common mechanisms of action that synergize with antivirals.

The global efforts in the past year have led to the discovery of nearly 200 drug repurposing candidates for COVID-19. Gaining more insights into their mechanisms of action could facilitate a better understanding of infection and the development of therapeutics. Leveraging large-scale drug-induced gene expression profiles, we found 36% of the active compounds regulate genes related to cholesterol homeostasis and microtubule cytoskeleton organization. Following bioinformatics analyses revealed that the expression of these genes is associated with COVID-19 patient severity and has predictive power on anti-SARS-CoV-2 efficacy in vitro. Monensin, a top new compound that regulates these genes, was further confirmed as an inhibitor of SARS-CoV-2 replication in Vero-E6 cells. Interestingly, drugs co-targeting cholesterol homeostasis and microtubule cytoskeleton organization processes more likely present a synergistic effect with antivirals. Therefore, potential therapeutics could be centered around combinations of targeting these processes and viral proteins.

SARS-CoV-2 (COVID-19) structural and evolutionary dynamicome: Insights into functional evolution and human genomics.

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has challenged the speed at which laboratories can discover the viral composition and study health outcomes. The small ∼30-kb ssRNA genome of coronaviruses makes them adept at cross-species spread while enabling a robust understanding of all of the proteins the viral genome encodes. We have employed protein modeling, molecular dynamics simulations, evolutionary mapping, and 3D printing to gain a full proteome- and dynamicome-level understanding of SARS-CoV-2. We established the Viral Integrated Structural Evolution Dynamic Database (VIStEDD at RRID:SCR_018793) to facilitate future discoveries and educational use. Here, we highlight the use of VIStEDD for nsp6, nucleocapsid (N), and spike (S) surface glycoprotein. For both nsp6 and N, we found highly conserved surface amino acids that likely drive protein-protein interactions. In characterizing viral S protein, we developed a quantitative dynamics cross-correlation matrix to gain insights into its interactions with the angiotensin I-converting enzyme 2 (ACE2)-solute carrier family 6 member 19 (SLC6A19) dimer. Using this quantitative matrix, we elucidated 47 potential functional missense variants from genomic databases within ACE2/SLC6A19/transmembrane serine protease 2 (TMPRSS2), warranting genomic enrichment analyses in SARS-CoV-2 patients. These variants had ultralow frequency but existed in males hemizygous for ACE2. Two ACE2 noncoding variants (rs4646118 and rs143185769) present in ∼9% of individuals of African descent may regulate ACE2 expression and may be associated with increased susceptibility of African Americans to SARS-CoV-2. We propose that this SARS-CoV-2 database may aid research into the ongoing pandemic.