A systematical association analysis of 25 common virus infection and genetic susceptibility of COVID-19 infection.

OBJECTIVES: Previous studies identified a number of diseases were associated with 2019 coronavirus disease (COVID-19). However, the associations between these diseases related viral infections and COVID-19 remains unknown now. METHODS: In this study, we utilized single nucleotide polymorphisms (SNPs) related to COVID-19 from genome-wide association study (GWAS) and individual-level genotype data from the UK biobank to calculate polygenic risk scores (PRS) of 487,409 subjects for eight COVID-19 clinical phenotypes. Then, multiple logistic regression models were established to assess the correlation between serological measurements (positive/negative) of 25 viruses and the PRS of eight COVID-19 clinical phenotypes. And we performed stratified analyses by age and gender. RESULTS: In whole population, we identified 12 viruses associated with the PRS of COVID-19 clinical phenotypes, such as VZV seropositivity for Varicella Zoster Virus (Unscreened/Exposed_Negative: ß = 0.1361, P = 0.0142; Hospitalized/Unscreened: ß = 0.1167, P = 0.0385) and MCV seropositivity for Merkel Cell Polyomavirus (Unscreened/Exposed_Negative: ß = -0.0614, P = 0.0478). After age stratification, we identified seven viruses associated with the PRS of eight COVID-19 clinical phenotypes. After gender stratification, we identified five viruses associated with the PRS of eight COVID-19 clinical phenotypes in the women group. CONCLUSION: Our study findings suggest that the genetic susceptibility to different COVID-19 clinical phenotypes is associated with the infection status of various common viruses.

Application of virtual simulation in clinical skills and operation courses.

Aim: This study investigated the effectiveness and prospect of applying virtual simulation operation (VSO) as a novel teaching tool in clinical skill and operation courses. Methods: A comparative test and survey study on the teaching effect of VSO was conducted with the clinical skill and operation course as the test course. The test group students received offline courses combined with online VSO practice. In contrast, the control group students received offline courses combined with instructional video review. The two groups were assessed using the Chinese medical school clinical medicine professional level test and a questionnaire survey. Results: The test group students scored significantly higher than the control group in the skills test (score difference: 3.43, 95% CI: 2.05-4.80) (p < 0.001). Additionally, a significant increase in the percentage of high-and intermediate-score ranges and a decrease in the percentage of low-score ranges was observed (p < 0.001). According to the questionnaire survey, 80.56% of the students were willing to continue using virtual simulation in their subsequent clinical skill and operation learning. Further, 85.19% of the students believed that the VSO is superior because it is unrestricted by time and space and can be performed anywhere and anytime compared to traditional operation training. Conclusion: VSO teaching can improve skills and examination performance. An entirely online operation that does not need special equipment can break through the spatiotemporal limitations of traditional skills courses. VSO teaching also suits the ongoing COVID-19 pandemic situation. Virtual simulation, a new teaching tool, has good application prospects.

Unraveling attributes of COVID-19 vaccine acceptance and uptake in the U.S.: a large nationwide study.

SARS-CoV-2 vaccines are useful tools to combat the Coronavirus Disease 2019 (COVID-19) pandemic, but vaccine reluctance threatens these vaccines' effectiveness. To address COVID-19 vaccine reluctance and ensure equitable distribution, understanding the extent of and factors associated with vaccine acceptance and uptake is critical. We report the results of a large nationwide study in the US conducted December 2020-May 2021 of 36,711 users from COVID-19-focused smartphone-based app How We Feel on their willingness to receive a COVID-19 vaccine. We identified sociodemographic and behavioral factors that were associated with COVID-19 vaccine acceptance and uptake, and we found several vulnerable groups at increased risk of COVID-19 burden, morbidity, and mortality were more likely to be reluctant to accept a vaccine and had lower rates of vaccination. Our findings highlight specific populations in which targeted efforts to develop education and outreach programs are needed to overcome poor vaccine acceptance and improve equitable access, diversity, and inclusion in the national response to COVID-19.

Microfiber Hotspots' Association with Ships in a Remote Port before and during Covid-19.

During monthly water quality monitoring of Norwegian coastal waters, the sea surface waters off Brønnøysund, a remote port in Norway, exhibited an unexpectedly high abundance of microfibers. We further conducted monitoring of microplastics and microfibers from the surface waters off the city before and during the Covid-19 pandemic. Analysis of the microfiber characteristics, which were primarily comprised of cellulosic and polyester fibers, revealed similarities with those found in the global ocean, but at concentrations that were 1-4 orders of magnitude higher, with the maximum concentration reaching 491 n/L (0.34 mg/L). Source apportionment of microfibers using multivariate analyses based on simultaneous water chemistry data showed positive correlations with ships. Contrary to previous assumptions that marine microfibers were derived from land-based sources, our findings revealed that gray water discharge from ships significantly contributed to microfibers in the oceans. The demonstrated causations using path modeling between microfibers, gray water, shipping, and noncargo shipping activities call for urgent research and regulatory actions toward addressing plastic pollution in the UN Decade of Ocean Science.

Lactate dehydrogenase and aspartate aminotransferase levels associated with the severity of COVID‑19: A systematic review and meta‑analysis

Lactate dehydrogenase (LDH) and aspartate aminotransferase (AST) are important indicators of cardiovascular, muscle and liver lesions, and can be used as prognostic indicators for infectious diseases, such as coronavirus disease 2019 (COVID-19). The present systematic review and meta-analysis assessed the prognostic value of LDH and AST levels for COVID-19 severity. Ovid-Medline, PubMed, Embase and The Cochrane Library were used to search for articles, according to the inclusion and exclusion criteria, until July 2022. The meta-analysis was performed using Revman5.3 and Stata15.1. Standardized mean difference (SMD) and 95% confidence intervals (CIs) of LDH and AST concentrations were analyzed using a random-effects model. Heterogeneity was investigated using meta-regression and subgroup methods. A total of 4,342 patients with COVID-19 in 23 articles were included in the present study. LDH (SMD=1.21;95% CI: 0.98, 1.44) and AST (SMD=0.68;95% CI: 0.54, 0.81) were significantly higher in patients with severe COVID-19 compared with in those with non-severe COVID-19. Serum LDH and AST levels in critically ill patients with COVID-19 were increased, suggesting a correlation between the levels of LDH and AST and the severity of COVID-19. These findings may help to develop a risk-stratified approach to the care of patients with this disease.

Incremental theory of personality attenuates the effect of environmental uncertainty on intertemporal choices

To examine the impact of environmental uncertainty on individuals' intertemporal choices and the moderating effect of implicit personality theory, two studies were conducted. Study 1 investigated the moderating role of implicit personality theory in the influence of environmental uncertainty on intertemporal choice using questionnaires. Study 2 examined whether priming incremental personality theory could change entity theorists' intertemporal preference in an uncertain environment. The results showed that implicit personality theory plays a moderating role in the influence of environmental uncertainty on intertemporal choice. For entity theorists, the delay discounting rate was positively correlated with environmental uncertainty. In contrast, for incremental theorists, the delay discounting rate was not significantly correlated with environmental uncertainty. After priming incremental personality theory, entity theorists' delay discounting decreased significantly. Thus, we conclude that incremental personality theory buffers the effect of environmental uncertainty on intertemporal choice.

Lactate dehydrogenase and aspartate aminotransferase levels associated with the severity of COVID­19: A systematic review and meta­analysis.

Lactate dehydrogenase (LDH) and aspartate aminotransferase (AST) are important indicators of cardiovascular, muscle and liver lesions, and can be used as prognostic indicators for infectious diseases, such as coronavirus disease 2019 (COVID-19). The present systematic review and meta-analysis assessed the prognostic value of LDH and AST levels for COVID-19 severity. Ovid-Medline, PubMed, Embase and The Cochrane Library were used to search for articles, according to the inclusion and exclusion criteria, until July 2022. The meta-analysis was performed using Revman5.3 and Stata15.1. Standardized mean difference (SMD) and 95% confidence intervals (CIs) of LDH and AST concentrations were analyzed using a random-effects model. Heterogeneity was investigated using meta-regression and subgroup methods. A total of 4,342 patients with COVID-19 in 23 articles were included in the present study. LDH (SMD=1.21; 95% CI: 0.98, 1.44) and AST (SMD=0.68; 95% CI: 0.54, 0.81) were significantly higher in patients with severe COVID-19 compared with in those with non-severe COVID-19. Serum LDH and AST levels in critically ill patients with COVID-19 were increased, suggesting a correlation between the levels of LDH and AST and the severity of COVID-19. These findings may help to develop a risk-stratified approach to the care of patients with this disease.

Combined effects of inflammation and coronavirus disease 2019 (COVID-19) on the risks of anxiety and depression: A cross-sectional study based on UK Biobank.

Infection-induced perturbation of immune homeostasis could promote psychopathology. Psychiatric sequelae have been observed after previous coronavirus outbreaks. However, limited studies were conducted to explore the potential interaction effects of inflammation and coronavirus disease 2019 (COVID-19) on the risks of anxiety and depression. In this study, first, polygenic risk scores (PRS) were calculated for eight COVID-19 clinical phenotypes using individual-level genotype data from the UK Biobank. Then, linear regression models were developed to assess the effects of COVID-19 PRS, C-reactive protein (CRP), systemic immune inflammation index (SII), and their interaction effects on the Generalized Anxiety Disorder-7 (GAD-7, 104 783 individuals) score and the Patient Health Questionnaire-9 (PHQ-9, 104 346 individuals) score. Several suggestive interactions between inflammation factors and COVID-19 clinical phenotypes were detected for PHQ-9 score, such as CRP/SII × Hospitalized/Not_Hospitalized in women group and CRP × Hospitalized/Unscreened in age >65 years group. For GAD-7 score, we also found several suggestive interactions, such as CRP × Positive/Unscreened in the age ≤65 years group. Our results suggest that not only COVID-19 and inflammation have important effects on anxiety and depression but also the interactions of COVID-19 and inflammation have serious risks for anxiety and depression.

A Multiplexed Cas13-Based Assay with Point-of-Care Attributes for Simultaneous COVID-19 Diagnosis and Variant Surveillance.

Point-of-care (POC) nucleic acid detection technologies are poised to aid gold-standard technologies in controlling the COVID-19 pandemic, yet shortcomings in the capability to perform critically needed complex detection-such as multiplexed detection for viral variant surveillance-may limit their widespread adoption. Herein, we developed a robust multiplexed clustered regularly interspaced short palindromic repeats (CRISPR)-based detection using LwaCas13a and PsmCas13b to simultaneously diagnose severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and pinpoint the causative SARS-CoV-2 variant of concern (VOC)-including globally dominant VOCs Delta (B.1.617.2) and Omicron (B.1.1.529)-all the while maintaining high levels of accuracy upon the detection of multiple SARS-CoV-2 gene targets. The platform has several attributes suitable for POC use: premixed, freeze-dried reagents for easy use and storage; convenient direct-to-eye or smartphone-based readouts; and a one-pot variant of the multiplexed detection. To reduce reliance on proprietary reagents and enable sustainable use of such a technology in low- and middle-income countries, we locally produced and formulated our own recombinase polymerase amplification reaction and demonstrated its equivalent efficiency to commercial counterparts. Our tool-CRISPR-based detection for simultaneous COVID-19 diagnosis and variant surveillance that can be locally manufactured-may enable sustainable use of CRISPR diagnostics technologies for COVID-19 and other diseases in POC settings.

Heat-killed Lactobacillus murinus confers neuroprotection against dopamine neuronal loss by targeting NLRP3 inflammasome.

The intestinal flora has become very active in studies related to Parkinson's disease (PD) in recent years. The microbe-gut-brain axis is closely related to the maintenance of brain homeostasis as well as PD pathogenesis. Alterations in gut bacteria can contribute to neuroinflammation and dopamine (DA) neurodegeneration. Lactobacillus murinus, a gram-positive bacterium, is a commensal gut bacteria present in the mammalian gut and considered as a potential probiotic due to its beneficial effects, including anti-inflammatory and antibacterial actions. In this study, the effects of live L. murinus and heat-killed L. murinus on DA neuronal damage in rats and the underlying mechanisms were investigated. Data showed that heat-killed L. murinus ameliorated 6-hydroxydopamine-induced motor dysfunctions and loss of substantia nigra DA neurons, while no protection was shown in live L. murinus treatment. At the same time, heat-killed L. murinus reduced the activation of NLRP3 inflammasome in microglia and the secretion of pro-inflammatory factors, thus inhibiting the development of neuroinflammation. Furthermore, heat-killed L. murinus failed to display its original neuroprotective properties in NLRP3 inflammasome knockout mice. Together, heat-killed L. murinus conferred neuroprotection against DA neuronal loss via the inhibition of microglial NLRP3 inflammasome activation. These findings provide a promising potential for future applications of L. murinus, and also beneficial strategy for PD treatment.

Photographic intervention effect on positive and negative affects during COVID-19: Mediating role of future self-continuity.

Meaning in Life (MIL) is a protective factor that buffers the impact of COVID-19 epidemic on emotions. Our study aimed to explore whether photographic intervention based on MIL could increase Positive Affect (PA) and mitigate Negative Affect (NA), and whether Future Self-Continuity (FSC) functioned as a mediator between them. In this study, 90 college students were randomly divided into an intervention group or a control group. Participants in the intervention group were asked to take a photo and describe it every 2 days lasting 2 weeks. All the participants in the two groups were measured by the Meaning in Life Questionnaire, Positive and Negative Affect Scale, and Future Self-Continuity Scale before and after the intervention. The results showed that: (1) Before the intervention, there were no significant differences in baseline levels of MIL, PA and NA, and FSC between intervention and control groups. (2) In the intervention group, compared to pre-test, the scores of MIL, PA, and FSC of post-test increased significantly, and the score of NA of post-test decreased significantly. (3) After the intervention, the scores of MIL, PA, and FSC in the intervention group were significantly higher than those in the control group; NA score in the intervention group was significantly lower than that in the control group. (4) In terms of the difference score (post-test minus pre-test), FSC was a mediator between MIL and PA. Our study demonstrated that photographic intervention could effectively improve college students' MIL, PA, and FSC while mitigating NA. Moreover, MIL could significantly enhance PA by the mediating role of FSC.

Evaluation on the Specificity and Sensitivity of a COVID-19 and A+B Influenza Antigen Combo Test for Detection and Application in Rapid Chromatographic Immunoassays

[...]fecal-oral transmission, where rotavirus is present in the feces of a patient is excreted and often contaminates water, food, clothing, toys, utensils, and other high touch objects. When a healthy person comes into contact with these items, the virus can enter the body through the hand or mouth and cause lesions in the digestive tract [4, 7]. Since 2019, the spread of COVID-19 has posed a public health threat throughout the world, endangering people's lives. According to research, N95 masks are more protective against COVID-19 than normal masks. Limiting aggregation is also an important means to limit the spread of the viruses. [...]control measures to limit the number of people gathering and intervening in public places are effective [7].

Significance of SARS-CoV-2 and Influenza A+B Antigen Combo Rapid Test for Distinguishing Influenza from COVID-19

According to the Centers for Disease Control (CDC), typical flu symptoms include fever, cough, sore throat, muscle aches, headache, runny or stuffy nose, fatigue, and sometimes even vomiting and diarrhea [1]. Healthcare providers should follow the Centers for Disease Control and Prevention (CDC) recommendations for infection control and the appropriate use of personal protective equipment [5]. Because some of the symptoms of influenza and COVID-19 are similar, it may be difficult to distinguish between the two respiratory diseases based on symptoms alone. [...]it is necessary to test for both viruses in anyone with symptoms of COVID-19 or influenza. [...]after the test is completed, place all the components into the plastic bag and tightly seal and dispose of according

The Relationship Between Personality Traits and Clinical Decision-Making, Anxiety and Stress Among Intern Nursing Students During COVID-19: A Cross-Sectional Study.

Purpose: The aim of this study was to investigate whether the personality traits of intern nursing students could serve as valid predictors of their psychological status and clinical decision making. Additionally, we aimed to understand the psychological state of intern nursing students during the regular epidemic prevention and control stage of COVID-19. Participants and Methods: This study was designed as a cross-sectional survey. A total of 181 intern nursing students involved in clinical placements participated in this study. Participants provided relevant data by completing the Big Five Inventory-44, the Self-Rating Anxiety Scale, the Perceived Stress Scale 14, and the Clinical Decision-Making in Nursing Scale. Results: The results showed that neuroticism (ß = -0.282, p < 0.01) and openness (ß = 0.302, p < 0.001) played significant roles in predicting clinical decision-making skills among intern nursing students. Regression analysis also showed extraversion (ß = -0.249, p < 0.01), openness (ß = 0.2, p < 0.01), and neuroticism (ß = 0.391, p < 0.001) could significantly predict stress in intern nursing students. The agreeableness (ß = -0.354, p < 0.001) and neuroticism (ß = 0.237, p < 0.01) could also predict the anxiety of intern nursing students. Additionally, some intern nursing students still suffered from anxiety and stress in the context of the ongoing pandemic. Conclusion: Personality traits are good predictors of clinical decision-making, anxiety and stress among intern nursing students. In conclusion, the openness in personality traits of intern nursing students should be valued and cultivated in clinical work, which will benefit the development of nursing talents.

Exploring the Transmission Path, Influencing Factors and Risk of Aerosol Transmission of SARS-CoV-2 at Xi'an Xianyang International Airport.

SARS-CoV-2 genetic sequence results collected from native COVID-19 cases who waited or saw relatives off at Xi'an Xianyang International Airport were highly consistent with the imported cases. In order to explore the routes of transmission and influencing factors that may cause the transmission of SARS-CoV-2 at the airport, a field simulation experiment of aerosol diffusion was adopted based on epidemiological survey data and a detailed field investigation of airport structure and ventilation. The results showed that the inbound passengers waited for approximately 3 h in the rest area on the first level of the international arrival area (Zone E). During the period, masks were removed for eating and drinking, resulting in the viral aerosols rising from the first level to the second level with hot air. After deplaning, the inbound passengers handled the relevant procedures and passed through the corridor on the second floor. The local side wall of the corridor adopted fan coil air conditioning, combined with fresh air supply and personnel walking, resulting in airflow flowing to Zone E. After merging with diffused air containing virus aerosol from the first floor, it continued to spread upward to the connected third-layer area. There was a local suspended ceiling on the top of the third floor, but it was approximately 4 m high and connected to the corridor from Terminal 2 to Terminal 3. When the virus aerosol diffused above the Terminal 2-Terminal 3 corridor, where the temperature was low and the air diffused downward, it could cause an infection risk for people passing through the corridor. In addition, the investigation found that the exhaust pipes of the nucleic acid sampling rooms at the international arrival corridor were directly discharged outdoors without treatment. Only one exhaust pipe and poor ventilation in the bathroom in Zone E had a risk of viral aerosol diffusion. Therefore, the international arrival area should be set up alone or separated from the other areas by hard isolation to avoid the existence of communication between different areas that could cause viral aerosols to diffuse with airflow. The toilet ventilation should be increased to avoid the accumulation of viral aerosols at high concentrations. The exhaust pipes of the toilet and the nucleic acid sampling rooms should be equipped with disinfection and efficient filtration devices, and high-altitude emission should be adopted to reduce the risk of virus aerosol diffusion.

The Peripandemic Impact of the First Wave of the COVID-19 Pandemic on Management and Prognosis of ST-Segment Elevation Myocardial Infarction in China.

BACKGROUND: Rapid reperfusion of ST-segment elevation myocardial infarction (STEMI) has been challenging during the coronavirus disease 2019 (COVID-19) outbreak. Whether and to what degree there will be a residual impact when the COVID-19 pandemic has passed is unclear. METHODS: This nationwide retrospective study was based on electronic records of STEMI patients registered in the Chinese Cardiovascular Association Database. RESULTS: We analyzed 141,375 STEMI patients (including 4871 patients in Hubei province, where 80% of COVID-19 cases in China occurred in 2019-2020) during the pre-outbreak (23 October 2019-22 January 2020), outbreak (23 January 2020-22 April 2020), and post-outbreak (23 April 2020-22 July 2020) periods. In the post-outbreak period in Hubei province, the increased in-hospital mortality dropped to become insignificant (adjusted odds ratio compared to the pre-outbreak level (aOR) 1.40, [95% confidential interval (CI): 0.97-2.03]) and was lower than that in the outbreak period (1.62 [1.09-2.41]). The decreased odds of primary percutaneous coronary intervention (PCI) (0.73 [0.55-0.96]) and timely reperfusion (0.74 [0.62-0.88]) persisted, although they were substantially improved compared to the outbreak period (aOR of primary PCI: 0.23 [0.18-0.30] and timely reperfusion: 0.43 [0.35-0.53]). The residual impact of COVID-19 on STEMI in the post-outbreak period in non-Hubei provinces was insignificant. CONCLUSIONS: Residual pandemic impacts on STEMI management persisted after the first wave of the COVID-19 outbreak in Hubei province, the earliest and hardest hit area in China.

Dissection of the Active Ingredients and Potential Mechanism of Han-Shi-Yu-Fei-Decoction in Treating COVID-19 Based on In Vivo Substances Profiling and Clinical Symptom-Guided Network Pharmacology

This work was aimed to elucidate the mechanism of action of Han-Shi-Yu-Fei-decoction (HSYFD) for treating patients with mild coronavirus disease 2019 (COVID-19) based on clinical symptom-guided network pharmacology. Experimentally, an ultra-high performance liquid chromatography technique coupled with quadrupole time-of-flight mass spectrometry method was used to profile the chemical components and the absorbed prototype constituents in rat serum after its oral administration, and 11 out of 108 compounds were identified. Calculatingly, the disease targets of Han-Shi-Yu-Fei symptoms of COVID-19 were constructed through the TCMIP V2.0 database. The subsequent network pharmacology and molecular docking analysis explored the molecular mechanism of the absorbed prototype constituents in the treatment of COVID-19. A total of 42 HSYFD targets oriented by COVID-19 clinical symptom were obtained, with EGFR, TP53, TNF, JAK2, NR3C1, TH, COMT, and DRD2 as the core targets. Enriched pathway analysis yielded multiple COVID-19-related signaling pathways, such as the PI3K/AKT signaling pathway and JAK-STAT pathway. Molecular docking showed that the key compounds, such as 6-gingerol, 10-gingerol, and scopoletin, had high binding activity to the core targets like COMT, JAK2, and NR3C1. Our work also verified the feasibility of clinical symptom-guided network pharmacology analysis of chemical compounds, and provided a possible agreement between the points of views of traditional Chinese medicine and western medicine on the disease.

Epidemiologic and clinical characteristics of human bocavirus infection in children hospitalized for acute respiratory tract infection in Qingdao, China.

Persistent infection and prolonged shedding of human bocavirus 1 (HBoV1) in children have been reported, and the role of HBoV1 as a sole causative pathogen in acute respiratory infection (ARI) is yet to be established. While the reported prevalence of HBoV infection varies due to different detection methods and sampling criteria, determining the viral and bacterial etiology of HBoV infection using multiplex real-time PCR is yet to be reported. Herein, we aimed to further explore the pathogenicity of HBoV in patients with ARI by screening the viral and bacterial infections in children with ARI in Qingdao and comparing the epidemiological, clinical characteristics, and etiological results. Human bocavirus was identified in 28.1% of the samples, and further sequencing analysis of the detected HBoV confirmed 96.4% as HBoV1. The rate of HBoV as a single viral infection was 75%, and the rate of coinfection with bacteria was 66.1%, suggesting the need for continued monitoring of HBoV in children with ARIs. Clinical characterization suggested that HBoV infection may affect the function of organs, such as the liver, kidney, and heart, and the blood acid-base balance. Additionally, it is essential to promote awareness about the importance of disinfection and sterilization of the hospital environment and standardizing operations. The interactions between HBoV and other pathogens remain to be investigated in further detail in the future.

Social predictors of doctoral student mental health and well-being.

Graduate students' mental health and well-being is a prominent concern across various disciplines. However, early predictors of mental health and well-being in graduate education, specifically doctoral education, have rarely been studied. The present study evaluated both the underlying latent classification of individuals' mental well-being and predictors of those classifications. Results estimated two latent classes of students' mental health and well-being: one class with generally high levels of mental well-being and one with lower levels of mental well-being. Regression analyses showed that mentoring in the second year of doctoral study, certainty of choice in the third year, and both academic development and sense of belonging in the fourth year were positive predictors of membership in the higher mental well-being class. In contrast to some prior studies, demographic variables were not related to the identified well-being classifications. Regression analyses further showed that mental well-being was negatively related to participants' number of publications and research self-efficacy, indicating a problematic relationship between scholarly productivity and confidence and well-being. These findings may be used to identify and provide targeted support for students who are at-risk for having or developing lower levels of mental well-being in their graduate programs.