The dyadic effects of social support on anxiety among family members during COVID-19: The mediating role of perceived family resilience.

Families have been suffering from huge financial loss and psychological distress due to the COVID-19 pandemic. Most existing studies investigated the protective factors for anxiety at the individual level, while understandings from the perspective of family dyadic level were left unknown. Considering that social support could serve as a protective factor to reduce anxiety both at individual level and at dyadic level, the present study adopted dyadic data analysis approach to tackle this puzzle. In total, 2512 Chinese parent-adolescent dyads completed a survey with scales of anxiety, social support, and perceived family resilience on July 31 and August 1 of 2021. Results showed that: (1) adolescents' perceived social support had significant actor and partner effects on their own and parents' anxiety, whereas parents' perceived social support only had a significant actor effect on their own anxiety and (2) the actor mediating effects of social support on anxiety via one's own perceived family resilience were found in both adolescents and parents, and a partner mediating effect of adolescents' social support was significantly associated with parents' anxiety through parents' perceived family resilience. Findings emphasize that interventions aiming at increasing adolescents' support resources could generate a significant effect on reducing anxiety.

Human Fc-Conjugated Receptor Binding Domain-Based Recombinant Subunit Vaccines with Short Linker Induce Potent Neutralizing Antibodies against Multiple SARS-CoV-2 Variants.

The coronavirus disease-19 (COVID-19) pandemic has been ongoing since December 2019, with more than 6.3 million deaths reported globally as of August 2022. Despite the success of several SARS-CoV-2 vaccines, the rise in variants, some of which are resistant to the effects of vaccination, highlights the need for a so-called pan-coronavirus (universal) vaccine. Here, we performed an immunogenicity comparison of prototype vaccines containing spike protein receptor-binding domain (RBD) residues 319-541, or spike protein regions S1, S2 and S fused to a histidine-tagged or human IgG1 Fc (hFC) fragment with either a longer (six residues) or shorter (three residues) linker. While all recombinant protein vaccines developed were effective in eliciting humoral immunity, the RBD-hFc vaccine was able to generate a potent neutralizing antibody response as well as a cellular immune response. We then compared the effects of recombinant protein length and linker size on immunogenicity in vivo. We found that a longer recombinant RBD protein (residues 319-583; RBD-Plus-hFc) containing a small alanine linker (AAA) was able to trigger long-lasting, high-titer neutralizing antibodies in mice. Finally, we evaluated cross-neutralization of wild-type and mutant RBD-Plus-hFc vaccines against wild-type, Alpha, Beta, Delta and Omicron SARS-CoV-2 variants. Significantly, at the same antigen dose, wild-type RBD-Plus-hFc immune sera induced broadly neutralizing antibodies against wild-type, Alpha, Beta, Delta and Omicron variants. Taken together, our findings provide valuable information for the continued development of recombinant protein-based SARS-CoV-2 vaccines and a basic foundation for booster vaccinations to avoid reinfection with SARS-CoV-2 variants.

Occurrence and risk assessment of triclosan in freshwater lakes in the middle Yangtze River basin (Wuhan, Central China)

Triclosan (TCS) is an endocrine disrupting chemical which is commonly used as a disinfectant in pharmaceuticals and personal care products (PPCP's). Since early 2020, the worldwide outbreak of COVID-19 has increased the use of PPCP's, so the occurrence and impact of TCS on freshwater lakes should be considered. However, little attention has been given to the effect of TCS on freshwater lakes in China. This study is the first attempt at a risk assessment focusing on the temporal and spatial occurrence of TCS in freshwater lakes in the middle Yangtze River basin. The surface water and sediments of Donghu Lake and Liangzi Lake (Wuhan, Central China) were collected from October 2020 to August 2021. The maximum concentrations of TCS were 466 ng/L and 239 ng/L in surface water, 71 ng/g and 25 ng/g (dry weight) in sediments of Donghu Lake and Liangzi Lake, respectively. Significant temporal and spatial differences of TCS were observed within and between the lakes, with the highest concentrations measured in winter. Furthermore, higher concentrations of TCS were observed in areas that are more impacted by human activities. There was a significant positive correlation between TCS and nitrogen in the surface water. A risk assessment using the risk quotient (RQ) method showed that a potentially high risk (RQ > 1) was found only in surface waters from Donghu Lake, and that the sediments posed a lower risk than the surface waters. These results provide timely data on the temporal and spatial occurrence of TCS in freshwater lakes in China following the outbreak of COVID-19 and demonstrate a possible high risk of exposure to TCS for aquatic biota.

Integrated Bioinformatics Analysis and Verification of Gene Targets for Myocardial Ischemia-Reperfusion Injury.

Background: Myocardial ischemia-reperfusion injury (MIRI) has become a thorny and unsolved clinical problem. The pathological mechanisms of MIRI are intricate and unclear, so it is of great significance to explore potential hub genes and search for some natural products that exhibit potential therapeutic efficacy on MIRI via targeting the hub genes. Methods: First, the differential expression genes (DEGs) from GSE58486, GSE108940, and GSE115568 were screened and integrated via a robust rank aggregation algorithm. Then, the hub genes were identified and verified by the functional experiment of the MIRI mice. Finally, natural products with protective effects against MIRI were retrieved, and molecular docking simulations between hub genes and natural products were performed. Results: 230 integrated DEGs and 9 hub genes were identified. After verification, Emr1, Tyrobp, Itgb2, Fcgr2b, Cybb, and Fcer1g might be the most significant genes during MIRI. A total of 75 natural products were discovered. Most of them (especially araloside C, glycyrrhizic acid, ophiopogonin D, polyphyllin I, and punicalagin) showed good ability to bind the hub genes. Conclusions: Emr1, Tyrobp, Itgb2, Fcgr2b, Cybb, and Fcer1g might be critical in the pathological process of MIRI, and the natural products (araloside C, glycyrrhizic acid, ophiopogonin D, polyphyllin I, and punicalagin) targeting these hub genes exhibited potential therapeutic efficacy on MIRI. Our findings provided new insights to explore the mechanism and treatments for MIRI and revealed new therapeutic targets for natural products with protective properties against MIRI.

Family Resilience, Media Exposure, and Children's Mental Health in China During COVID-19

This study aims to describe children's mental health conditions in the time of COVID-19 and its associations with the risk factor (media exposure) and the protective factor (family resilience) during COVID-19. The study took place from February 13th to February 29th, 2020, at the peak of the outbreak all across China. In total 441 children (M??=??11.83 years old, SD??=??0.79) from Jiangxi province, China, filled out online surveys. The results showed that children's rates of depression were relatively high and post-traumatic stress disorder (PTSD) rates were low. Based on the results of multiple linear regression analyses, family resilience was negatively associated with children's mental health issues including depression, anxiety, PTSD, and poor sleep quality counting the effects of children's age, gender, and media exposure. Children's media exposure to COVID-related news reports did not significantly contribute to the total variance of children's mental health symptoms. The findings guide the development of prevention and interventions to mobilize families? strengths and resilience for reducing children's maladjustment during the occurrence of pandemics.

Pneumonia Patients Caused by Co-infection With SARS-CoV-2 and Human Adenovirus in China.

Objectives: To data, no patients with obvious epidemiological relationship co-infected with SARS-CoV-2 and other pathogens have been reported. Here, we investigated 10 patients caused by co-infection with SARS-CoV-2 and human adenovirus (HAdV), resulting in third-generation transmission. Materials and Methods: From Jan 15, 2020, we enrolled 10 patients with pneumonia in Hunan Province, China. Epidemiological, clinical, and laboratory investigation results from these patients were analyzed. An epidemiological investigation was performed to assess whether patient infections were linked using conventional methods and metagenomic sequencing. Results: The presence of co-infection with SARS-CoV-2 and HAdV was determined via RT-PCR and metagenomic sequencing. Phylogenetic analysis revealed that SARS-CoV-2 and HAdV genomes clustered together, with similar genetic relationships. The first patient likely became co-infected during meetings or travel in Wuhan. The patient transmitted the virus via dinners and meetings, which resulted in four second-generation cases. Then, a second-generation case transmitted the virus to her family members or relatives via presymptomatic transmission. Conclusions: This study described an example of co-infection with SARS-CoV-2 and HAdV in pneumonia patients, which caused third-generation cases and inter-regional transmission via meetings, household interactions, and dinner parties. We also observed the persistent and presymptomatic transmission of co-infection, which has the potential to make the continued control of the COVID-19 pandemic challenging. Continuous surveillance is needed to monitor the prevalence, infectivity, transmissibility, and pathogenicity of SARS-CoV-2 co-infection with other pathogens to evaluate its real risk.

Clinical and CT manifestations of coronavirus disease 2019

Objective To evaluate the clinical and CT manifestations of coronavirus disease 2019 (COVID-19). Methods Serial clinical and CT data of 11 patients with confirmed COVID-19 were retrospectively analyzed. These data were collected in The Second Affiliated Hospital of Xi'an Jiaotong University from January 24 to February 9, 2020. There were 6 males and 5 females, aged from 17 to 64 years old, with the mean age of 42.27±15.67. Results A majority of the patients fell into mild type and only one was of severe type. Clinical manifestations were mainly fever, fatigue, and dry cough. For laboratory tests, the patients' lymphocyte and eosinophil counts decreased, while their C-reactive protein concentration increased. In terms of CT findings, 7 patients showed bilateral subpleural involvement. The ground glass opacity (GGO) was common in CT findings. Typical crazy paving sign, air bronchogram and halo sign were also found. During the progression of the disease, GGO might be associated with pulmonary consolidation. No enlarged lymph nodes or pleural effusion were seen in all the patients. Conclusion Patients with COVID-19 have distinctly characteristic chest CT manifestations and laboratory examination findings, which play a vital role in diagnosis and prognosis of the disease.

COVID-19 Is Distinct From SARS-CoV-2-Negative Community-Acquired Pneumonia.

Background: Corona virus disease (COVID-19) is an infectious respiratory disease that has spread rapidly across the world. Many studies have already evaluated the clinical features of COVID-19, but how it compares with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative community-acquired pneumonia (SN-CAP) is still unclear. Moreover, COVID-19 mortality is correlated with disease severity, but indicators for severity grading have not been specified. We aimed to analyze the clinical characteristics of COVID-19 in comparison with SN-CAP and find indicators for disease severity in COVID-19. Methods: Patients diagnosed with COVID-19 and SN-CAP were enrolled. Clinical, radiological, and laboratory data were analyzed. Results: The numbers of COVID-19 and SN-CAP patients enrolled were 304 and 138, respectively. The age of the patients was not significantly different between the groups. Compared with SN-CAP, COVID-19 patients had more symptoms of fever and dyspnea; and showed significant difference in blood count results. Computed tomography (CT) imaging of COVID-19 patients showed patchy ground-glass opacities that correlated with disease severity, whereas the CT imaging of SN-CAP patients showed patchy high-density shadows. COVID-19 patients were classified into moderate, severe, and critically severe groups. The severe and critically severe groups had elevated levels of white blood cells (WBC), neutrophils, platelets, C-reaction protein (CRP), lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), troponin-I, creatinine, and blood urea nitrogen (BUN). However, they had decreased levels of lymphocytes, lymphocyte ratio, and albumin. Compared with the younger patients, the older COVID-19 individuals had more chronic diseases and significantly elevated levels of WBC, neutrophil, and CRP levels. Conclusion: SN-CAP showed more inflammatory reaction than COVID-19. Old people with chronic diseases are more susceptible to COVID-19 and have a high likelihood of developing severe and critically severe infection. Levels of WBC, lymphocytes, neutrophils, CRP, NLR, PLR, troponin-I, creatinine, and BUN are important indicators for severity grading in COVID-19.

[Chest CT findings and their dynamic changes in patients with COVID-19].

ObjectiveTo define chest CT findings and their dynamic changes in patients with coronavirus disease 2019 (COVID-19) from disease onset to the cure.MethodWe analyzed the clinical and chest CT data of 6 patients with RT-PCR-confirmed COVID-19. According to the time from the disease onset to the cure or from the onset to each CT scan, the total of 30 chest CT scans were divided into 4 stages, namely stage 1 (0-4 days), stage 2 (5-9 days), stage 3 (10-14 days), and stage 4 (over 14 days). A semi-quantitative scoring system was used to quantitatively assess the pulmonary involvement on the basis of the involved area. The differences in chest CT signs and the lung injury scores based on CT findings were compared among the 4 stages.ResultsIn stage 1, ground-glass opacities (GGO) was found frequently in the subpleura, and the CT score was the lowest at 4.00±0.40. Stage 2 was characterized by an increased and mixed density (crazy-paving pattern) with mild consolidation of the lungs, and the CT score reached its peak level of 7.38±3.34 (P < 0.05). In stage 3, an expanded range of consolidation and linear lesions were found in the lungs, and the total CT score averaged 6.86±2.91. In stage 4, a gradual resolution of the consolidation occurred with more linear lesions in the lungs, and the total CT score was 6.21±1.56. The CT scores of the lower lobes were significantly higher compared with those of the middle/upper lobes (P < 0.05) in stage 3 and stage 4.ConclusionChest CT scans allows dynamic monitoring of the changes in the distribution, density and extent of the pulmonary lesions in the 4 stages, which are closely correlated with the evolution of the disease course of COVID-19.