BBIBP-CorV Vaccination against the SARS-CoV-2 Virus Affects the Gut Microbiome.

Several observational studies have confirmed that the severe acute respiratory syndrome coronavirus2 (SARS-CoV-2) might substantially affect the gastrointestinal (GI) system by replicating in human small intestine enterocytes. Yet, so far, no study has reported the effects of inactivated SARS-CoV-2 virus vaccines on gut microbiota alterations. In this study, we examined the effects of the BBIBP-CorV vaccine (ChiCTR2000032459, sponsored by the Beijing Institute of Biological Products/Sinopharm), on gut microbiota. Fecal samples were collected from individuals whoreceived two doses of intramuscular injection of BBIBP-CorV and matched unvaccinated controls. DNA extracted from fecal samples was subjected to 16S ribosomal RNA sequencing analysis. The composition and biological functions of the microbiota between vaccinated and unvaccinated individuals were compared. Compared with unvaccinated controls, vaccinated subjects exhibited significantly reduced bacterial diversity, elevated firmicutes/bacteroidetes (F/B) ratios, a tendency towards Faecalibacterium-predominant enterotypes, and altered gut microbial compositions and functional potentials. Specifically, the intestinal microbiota in vaccine recipients was enriched with Faecalibacterium and Mollicutes and with a lower abundance of Prevotella, Enterococcus, Leuconostocaceae, and Weissella. Microbial function prediction by phylogenetic investigation of communities using reconstruction of unobserved states (PICRUSt) analysis further indicated that Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways involved in carbohydrate metabolism and transcription were positively associated with vaccine inoculation, whereas capacities in neurodegenerative diseases, cardiovascular diseases, and cancers were negatively affected by vaccines. Vaccine inoculation was particularly associated with gut microbiota alterations, as was demonstrated by the improved composition and functional capacities of gut microbiota.

Alterations of Fecal Metabolome Associated with BBIBP-CorV Vaccines against the SARS-CoV-2 Virus.

BACKGROUND: The SARS-CoV-2 vaccine has been implemented in response to the 2019 Coronavirus Disease (COVID-19) pandemic worldwide. Dysregulation of gut metabolite is associated with COVID-19 patients. However, the effect of vaccination on the gut metabolite remains unknown, and it is critical to investigate the shifts in metabolic profiles following vaccine treatment. METHODS: In the present study, we conducted a case-control study to assess the fecal metabolic profiles between individuals who received two doses of intramuscular injection of an inactivated SARS-CoV-2 vaccine candidate (BBIBP-CorV) (n = 20), and matched unvaccinated controls (n = 20) using untargeted gas chromatography and time-of-flight mass spectrometry (GC-TOF/MS). RESULTS: Significant different metabolic profiles were observed between subjects receiving SARS-CoV-2 virus vaccines and the unvaccinated. Among a total of 243 metabolites from 27 ontology classes identified in the study cohort, 64 metabolic markers and 15 ontology classes were dramatically distinct between vaccinated and unvaccinated individuals. There were 52 enhanced (such as Desaminotyrosine, Phenylalanine) and 12 deficient metabolites (such as Octadecanol, 1-Hexadecanol) in vaccinated individuals. Along with altered metabolic compositions, multiple functional pathways in Small MoleculePathway Database (SMPDB) and Kyoto Encyclopedia of Genes and Genomes (KEGG) varied between groups. Our results indicated that urea cycle; alanine, aspartate, and glutamate metabolism; arginine and proline metabolism; phenylalanine metabolism and tryptophan metabolism were abundant after vaccination. Additionally, correlation analysis showed that intestinal microbiome was related to alteration in metabolite composition and functions. CONCLUSIONS: The present study indicated the alterations in the gut metabolome after COVID-19 vaccination and the findings provide a valuable resource for in-depth exploration of mechanisms between gut metabolite and SARS-CoV-2 virus vaccines.

Characterization of the Intestinal Microbiome in Healthy Adults over Sars-Cov-2 Vaccination.

BACKGROUND: In response to the outbreak of coronavirus disease 2019 (COVID-19) worldwide, inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines are implemented. Dysbiosic gut microbiota is implicated in the COVID-19 patients. Whereas, how intestinal microbiota are affected by vaccination remains elusive, and it is important to investigate the microbial shifts during vaccines treatment. METHODS: In the present study, we assessed the gut microbial composition in healthy adults, and performed comparison before and post an inactivated SARS-CoV-2 vaccine candidate, BBIBP-CorV vaccination. RESULTS: Microbial diversity in shannon, pielou evenness, simpson and invsimpson index was remarkably suppressed by vaccination. Ruminococcus and Actinomyces were observed to be strikingly deficient, and Faecalibacterium was dramatically augmented after BBIBP-CorV treatment. Potential functional profiles of gut microbiome in amino acid metabolism, lipid biosynthesis proteins and steroid biosynthesis were remarkably increased, while the capacity in renin-angiotensin system was remarkably decreased following vaccines. CONCLUSIONS: Our study suggests that inactivated BBIBP-CorV against SARS-CoV-2 could elicit modulations on gut microbial composition and functions, which might favor host immune response and protect from COVID-19.

The Fluctuation Trend of Serum Anti-SARS-CoV-2 IgM/IgG Antibodies Seroprevalence in the Non-COVID-19 Infected Population and Correlation with Peripheral Blood Leukocyte Parameters in Beijing, China, 2021: A Real-World Study.

Since 2019, the coronavirus disease 2019 (COVID-19) global pandemic has caused more than 300 million cases of disease and 5 million deaths. Vaccination has been widely accepted as the most effective measure for the prevention and control of this disease. However, there is little understanding about serum anti-SARS-CoV-2 IgM/IgG levels after inactivated vaccination as well as the relationship with peripheral blood leukocytes in the non-COVID-19 infected population. A total of 16,335 male and 22,302 female participants were recruited in this study, which was conducted in the Peking University Third Hospital located in Beijing (China). The level and seroprevalence of serum anti-SARS-CoV-2 receptor-binding domain (RBD) IgM/IgG and the association with peripheral blood leukocytes classification were investigated. With an increase in the number and percentage of full immunization of COVID-19 vaccinations in Beijing, serum anti-SARS-CoV-2 IgG antibodies levels and seroprevalence were significantly elevated (p < 0.01). The serum anti-SARS-CoV-2 IgG antibodies of 60 years and older persons were significantly lower than that of individuals that are 18~60 years old (p < 0.01), and there was a positive relationship between serum anti-SARS-CoV-2 IgG antibodies levels and peripheral blood lymphocyte count. The investigation of serum anti-SARS-CoV-2 IgM/IgG antibodies and the peripheral hematological index may prompt and help understand the adaptive immune response of vaccination.

Effectiveness of a professional identity promotion strategy for nursing students during the COVID-19 pandemic: A quasi-experimental study.

AIM: To evaluate the effectiveness of a professional identity promotion strategy (PIPS) on nursing students' professional identity and resilience. METHODS: This study was a quasi-experimental study with a random cluster sample of 103 sophomore undergraduate nursing students. One hundred students answered the questionnaires at both baseline and follow-up (51 of 53 in the intervention group and 49 of 50 in the control group). Intervention and control groups underwent 5 months PIPS and standard professional education from May 2 to September 27, respectively. Participants completed the professional identity questionnaire for nursing students (PIQNS) and Connor-Davidson resilience scale (CD-RISC). Data were collected at baseline (T0), after the intervention (T1) and 3 months after the intervention (T2), and analyzed using the Chi-squared test, Fisher's exact test, and repeated-measures analysis of variance. RESULTS: There were no significant differences between the two groups (p > .05) regarding demographic questions, professional identity, or resilience at baseline (p > .05). Significant differences were found in professional identity between groups (p < .001), measurement times (p = .026), and in the interaction between groups and measurement times (p = .018) from T0 to T2. Significant differences were found in resilience between groups (p < .001), measurement times (p = .007), and in the interaction between groups and measurement times (p = .035) from T0 to T2. CONCLUSIONS: The PIPS program improved nursing students' professional identity and resilience. Further long-term effectiveness of the program needs to be tested with implementation through various forms of mobile technology.

The TCM Preparation Feilike Mixture for the Treatment of Pneumonia: Network Analysis, Pharmacological Assessment and Silico Simulation

The Feilike mixture (FLKM) is a valid prescription that is frequently used to assist in the clinical treatment of pneumonia. However, the mechanisms of its effects remain unclear. First, through literature evaluation, it was preliminarily determined that FLKM improved clinical symptoms, regulated immune inflammation response and ameliorated pulmonary function. Then, via database search and literature mining, 759 targets of the 104 active compounds of FLKM were identified. The component-target (CT) network showed that the key active compositions were resveratrol, stigmasterol, beta-sitosterol, sesamin, and quercetin. 115 targets overlapped with pneumonia-related targets. The protein-protein interaction (PPI) network identified TNF, AKT1, IL6, JUN, VEGFA and MAPK3 as hub targets. KEGG analyses found that they were mainly enriched in immune related pathway. Next, in vivo experiment, we observed that FLKM ameliorated pathological injury of lung tissue and reduced neutrophil infiltration in rats with LPS-induced pneumonia. And FLKM decreased the concentration of TNF-α and IL-6 in BALF and downregulated the expression of p38MAPK, AKT and VEGFA in lung tissue. Finally, Molecular docking tests showed tight docking of these predicted targeted proteins with key active compounds. Molecular dynamics simulation was employed to assess stability and flexibility of receptor-ligand. Among them, AKT1- stigmasterol bound more stably, and their binding free energies were −47.91 ± 1.62 kcal/mol. This study revealed core compositions and targets for FLKM treating pneumonia and provided integrated pharmacological evidence to support its clinical efficacy.

Traditional Chinese Medicine, Qingfei Paidu Decoction and Xuanfei Baidu Decoction, Inhibited Cytokine Production via NF-κB Signaling Pathway in Macrophages: Implications for Coronavirus Disease 2019 (COVID-19) Therapy.

Background and Aims: Qingfei Paidu decoction (QPD) and Xuanfei Baidu decoction (XBD) are two typical traditional Chinese medicines with proven efficacy for the treatment of SARS-CoV-2, although the underlying mechanism is not well defined. Blunted immune response and enhanced production of pro-inflammatory cytokines (cytokine storm) are two main features observed in patients infected with SARS-CoV-2. Analysis based on network pharmacology has revealed that both QPD and XBD played an important role in the regulation of host immunity. We therefore investigated the role of QPD and XBD in the modulation of innate immunity in vitro, focusing on the type 1 interferon (IFN) signaling pathway in A549 cells and pro-inflammatory cytokine production in macrophages. Methods: A549 cells were treated with QPD or XBD and the production of endogenous IFNα and IFNß as well as the expression levels of some interferon-stimulated genes (ISGs) were detected by reverse transcriptase-quantitative PCR (RT-qPCR). Macrophages derived from THP-1 cells were treated with QPD or XBD and their pro-inflammatory cytokine expression levels were measured by RT-qPCR, 6 h post LPS stimulation. In addition, the expression levels of some pro-inflammatory cytokines were further analyzed by ELISA. The effect of QPD and XBD on the NF-κB signaling pathway and the pinocytosis activity of THP-1-derived macrophages were evaluated by Western blot and neutral red uptake assay, respectively. Results: Although QPD and XBD showed very little effect on the type 1 IFN signaling pathway in A549 cells, either QPD or XBD markedly inhibited the production of pro-inflammatory markers including interleukin-6, tumor necrosis factor-α, monocyte chemotactic protein-1, and chemokine ligand 10 in THP-1-derived M1 macrophages. In addition, the phosphorylation of IκBα and NF-κB p65 during the process of macrophage polarization was significantly suppressed following QPD or XBD treatment. QPD and XBD also suppressed the pinocytosis activity of macrophages. Conclusion: QPD and XBD have been shown to have robust anti-inflammatory activities in vitro. Our study demonstrated that both QPD and XBD decreased pro-inflammatory cytokine expression, inhibited the activation of the NF-κB signaling pathway, and blunted pinocytosis activity in THP-1-derived macrophages.

Simulation Study of a Novel Cylindrical Micro-Electrostatic Particulate Air Filter with High Filtration Efficiency and Low Resistance

The purification of indoor pathogenic microorganisms has become a topic of concern. The use of nonwoven media air filters causes high resistance, and the problem of noise limited their application under high air volume. Thus, we propose a micro-electrostatic filter, which has improved performance compared to an electrostatic filter, with a new type of cylindrical structure to tackle indoor pathogenic microbial aerosol pollution. Through simulation, it is found that the filtration performance of a cylindrical structure is better than that of a plate structure under all simulation conditions. For particles larger than 1 μm, the shortest theoretical length of the dust collecting plate required for the cylindrical structure is 34% shorter than that for the plate structure. For 0.1 μm particles, the filtration efficiency of the cylindrical structure is nearly 20~30% (the maximum value is 29.76%) higher than that of the plate structure, while the air velocity is 1.5 m/s~2.5 m/s. The resistance of the cylindrical micro-electrostatic filter is only half of that of the combined plate type micro-electrostatic filter, indicating that the cartridge structure has enormous energy-saving potential. The introduction of the quality factor further proves that the integrated filtration performance of the cartridge micro-electrostatic filter is better. The application of cylindrical micro-electrostatic filters in HVAC systems can help improve indoor air quality and reduce health risks.

Dysregulated liver function in SARS-CoV-2 infection: Current understanding and perspectives.

Since it was first reported in December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread rapidly around the world to cause the ongoing pandemic. Although the clinical manifestations of SARS-CoV-2 infection are predominantly in the respiratory system, liver enzyme abnormalities exist in around half of the cases, which indicate liver injury, and raise clinical concern. At present, there is no consensus whether the liver injury is directly caused by viral replication in the liver tissue or indirectly by the systemic inflammatory response. This review aims to summarize the clinical manifestations and to explore the underlying mechanisms of liver dysfunction in patients with SARS-CoV-2 infection.

Facing coronavirus disease 2019: What do we know so far? (Review).

Although the World Health Organization declared the outbreak of coronavirus disease 2019 (COVID-19), which originated in China, as a public health emergency of international concern as early as January 30, 2020, the current COVID-19 epidemic is spreading rapidly. As of April 19, 2020, total of 2,392,165 confirmed cases had been reported in 211 countries and regions, with 614,421 (25.68%) cured cases and 164,391 (6.87%) deaths. Scientists and clinicians have made great efforts to learn much about COVID-19 so that it can be controlled as soon as possible. Herein, this review will discuss the epidemiology, pathology, clinical features, diagnosis and treatment of COVID-19 based on the current evidence.

Cardiovascular complications of SARS-CoV-2 infection (COVID-19): a systematic review and meta-analysis.

Coronavirus Disease 2019 (COVID-19) originated in Wuhan, China in December 2019 and rapidly spread worldwide. Herein, we conducted a systematic review and meta-analysis to find the association between COVID-19 and cardiovascular complications. We conducted a systematic literature search of the PubMed and Embase databases from 01 December 2019 to 30 November 2020. We then statistically analyzed the incidence of cardiovascular complications in COVID-19 patients. We included 3044 confirmed COVID-19 cases from 12 studies. The most common cardiovascular complications in COVID-19 patients were myocardial injury (21.2%, 95% CI 12.3-30.0%) and arrhythmia (15.3%, 95% CI 8.4-22.3%), followed by heart failure (14.4%, 95% CI 5.7-23.1%) and acute coronary syndrome (1.0%, 95% CI 0.5-1.5%). The pooled incidence of heart failure, arrhythmia and myocardial injury in non-survivors were 47.8% (95% CI 41.4-54.2%), 40.3% (95% CI 1.6-78.9%) and 61.7% (95% CI 46.8-76.6%), respectively. Also, the data separately showed significantly higher incidence of heart failure and cardiac injury in non-survivors (relative risks = 5.13, 95% CI 2.46-10.7, Z = 4.36, P = 0.017) and (relative risks = 6.91, 95% CI 3.19-14.95, Z = 4.91, P = 0.009). Myocardial injury and arrhythmia were the most common complications in COVID-19 patients. Myocardial injury and heart failure were more common in patients who died, regardless of a history of cardiovascular disease. The incidence of heart failure and myocardial injury were higher in non-survivors compared to the survivors. Accordingly, in addition to basic support, cardiac reactions of patients with confirmed COVID-19 with or without underlying cardiovascular diseases should be closely monitored.

Post-traumatic growth and influencing factors among frontline nurses fighting against COVID-19.

OBJECTIVE: To explore the level and influencing factors of frontline nurses' post-traumatic growth (PTG) during COVID-19 epidemic. METHODS: A cross-sectional survey was conducted in February 2020 in three hospitals in China. The Post-traumatic Growth Inventory (PTGI) was used to investigate the PTG of frontline nurses. Data on related factors, including demographic characteristics and subjective variables, were collected. The Event-Related Rumination Inventory was used to assess rumination. Pearson's or Spearman's correlation was calculated for bivariate analysis. Independent sample t-tests or one-way analysis of variance and multiple linear regression analysis were used to examine the related factors. RESULTS: A total of 179 frontline nurses were recruited, and 167 were included in the analyses. The mean PTG score was 70.53±17.26. The bivariate analyses showed that deliberate rumination was modestly positively correlated with PTG (r=0.557, p<0.01), while intrusive rumination had a modest negative correlation with PTG (r=-0.413, p<0.01). Multiple linear regression demonstrated that working years, self-confidence in frontline work, awareness of risk, psychological intervention or training during the epidemic and deliberate rumination were the main influencing factors of PTG among frontline nurses and accounted for 42.5% of the variance (F=31.626, p<0.001). CONCLUSIONS: The PTG of frontline nurses was at a medium to high level and was influenced by working years, self-confidence in frontline work, awareness of risk, psychological intervention or training and deliberate rumination. It is necessary to strengthen psychological guidance and training for frontline nurses and promote their deliberate rumination on epidemic events to improve their PTG.

STSIR: Spatial Temporal Pandemic Model with Mobility Data (preprint)

With the outbreak of COVID-19, how to mitigate and suppress its spread is a big issue to the government. Department of public health need powerful models to model and predict the trend and scale of such pandemic. And models that could evaluate the effect of the public policy are also essential to the fight with the COVID-19. A main limitation of existing models is that they can only evaluate the policy by calculating $R_0$ after infection happens instead of giving observable index. To tackle this, based on the transmission character of the COVID-19, we preposed a novel framework Spatial-Temporal-Susceptible-Infected-Removed (STSIR) model. In particular, we merged both intra-city and inter-city mobility index with the traditional SIR dynamics and make it a dynamic system. And we proved that the STSIR system is a closed system which makes the system self-consistent. And finally we proposed a Multi-Stage Simulated Annealing (MSSA) algorithm to find optimal parameter of the system. In our experiments, based on Baidu Mobility dataset, and China pandemic dataset provided by Dingxiangyuan, our model can effectively predict the total scale of the pandemic and also gives clear policy analysis with observable index.

Children's Respiratory Infections in Tianjin Area, China: Associations with Home Environments and Lifestyles.

Children spend most of their indoors time at home, which may have substantial influence on their health. We conducted a cross-sectional study in the Tianjin area, China to quantify the incidence of respiratory infections among children, and its association with home environments and lifestyles. The lifetime-ever incidences of croup, pneumonia and ear infection among children aged 0-8 in Tianjin area was 9.2%, 28.7% and 11.6%, respectively. The incidence of common cold infections more than twice per year was 31.3%. Home environments and lifestyles included strong risk factors for childhood respiratory infections. Perceived dry air had the greatest association with childhood common colds (population attributable fraction (PAF = 15.0%). Modern floor covering had the greatest association with croup (PAF = 14.7%) and ear infection (PAF = 34.5%), while infrequent bedding sun-curing had the greatest association with pneumonia (PAF = 18.7%). Condensation (a proxy of poor ventilation) accounted for 12.2% of the incidence of croup (PAF = 12.2%) and frequent common colds (PAF = 8.4%). Our findings indicate that factors related to "modern" home environments and lifestyles are risks for childhood respiratory infections. Modifying such factors might reduce the incidence of respiratory infections among children.