Prevalence of depression, anxiety, and suicidal ideation during the Shanghai 2022 Lockdown: A cross-sectional study.

BACKGROUND: Common mental disorders and suicidal ideation are associated with exposures to COVID-19 pandemic stressors, including lockdown. Limited data is available on the effect of city-wide lockdowns on population mental health. In April 2022, Shanghai entered a city-wide lockdown that sealed 24 million residents in their homes or residential compounds. The rapid initiation of the lockdown disrupted food systems, spurred economic losses, and widespread fear. The associated mental health effects of a lockdown of this magnitude are largely unknown. The purpose of this study is to estimate the prevalence of depression, anxiety, and suicidal ideation during this unprecedented lockdown. METHODS: In this cross-sectional study, data were obtained via purposive sampling across 16 districts in Shanghai. Online surveys were distributed between April 29 and June 1, 2022. All participants were physically present and residents of Shanghai during the lockdown. Logistic regression was used to estimate the associations between lockdown-related stressors and study outcomes, adjusting for covariates. FINDINGS: A total of 3230 Shanghai residents who personally experienced the lockdown participated the survey, with 1657 (55.5 %) men, 1563 (44.3 %) women, and 10 (0.02 %) other, and a median age of 32 (IQR 26-39), who were predominately 3242 (96.9 %) Han Chinese. The overall prevalence of depression based on PHQ-9 was 26.1 % (95 % CI, 24.8 %-27.4 %), 20.1 % (18.3 %-22.0 %) for anxiety based on GAD-7, and 3.8 % (2.9 %-4.8 %) for suicidal ideation based on ASQ. The prevalence of all outcomes was higher among younger adults, single people, lower income earners, migrants, those in poor health, and with a previous psychiatric diagnosis or suicide attempt. The odds of depression and anxiety were associated with job loss, income loss, and lockdown-related fear. Higher odds of anxiety and suicidal ideation were associated with being in close contact with a COVID-19 case. Moderate food insecurity was reported by 1731 (51.8 %), and 498 (14.6 %) reported severe food insecurity. Moderate food insecurity was associated with a >3-fold increase in the odds of screening for depression and anxiety and reporting suicidal ideation (aOR from 3.15 to 3.84); severe food insecurity was associated with >5-fold increased odds for depression, anxiety, and suicidal ideation (aOR from 5.21 to 10.87), compared to being food secure. INTERPRETATION: Lockdown stressors, including food insecurity, job and income loss, and lockdown-related fears, were associated with increased odds of mental health outcomes. COVID-19 elimination strategies including lockdowns should be balanced against the effects on population wellbeing. Strategies to avoid unneeded lockdown, and policies that can strengthen food systems and protect against economic shocks are needed. FUNDING: Funding was provided by the NYU Shanghai Center for Global Health Equity.

Rescuing Tetracycline Class Antibiotics for the Treatment of Multidrug-Resistant Acinetobacter baumannii Pulmonary Infection.

Acinetobacter baumannii causes high mortality in ventilator-associated pneumonia patients, and antibiotic treatment is compromised by multidrug-resistant strains resistant to ß-lactams, carbapenems, cephalosporins, polymyxins, and tetracyclines. Among COVID-19 patients receiving ventilator support, a multidrug-resistant A. baumannii secondary infection is associated with a 2-fold increase in mortality. Here, we investigated the use of the 8-hydroxyquinoline ionophore PBT2 to break the resistance of A. baumannii to tetracycline class antibiotics. In vitro, the combination of PBT2 and zinc with either tetracycline, doxycycline, or tigecycline was shown to be bactericidal against multidrug-resistant A. baumannii, and any resistance that did arise imposed a fitness cost. PBT2 and zinc disrupted metal ion homeostasis in A. baumannii, increasing cellular zinc and copper while decreasing magnesium accumulation. Using a murine model of pulmonary infection, treatment with PBT2 in combination with tetracycline or tigecycline proved efficacious against multidrug-resistant A. baumannii. These findings suggest that PBT2 may find utility as a resistance breaker to rescue the efficacy of tetracycline-class antibiotics commonly employed to treat multidrug-resistant A. baumannii infections. IMPORTANCE Within intensive care unit settings, multidrug-resistant (MDR) Acinetobacter baumannii is a major cause of ventilator-associated pneumonia, and hospital-associated outbreaks are becoming increasingly widespread. Antibiotic treatment of A. baumannii infection is often compromised by MDR strains resistant to last-resort ß-lactam (e.g., carbapenems), polymyxin, and tetracycline class antibiotics. During the on-going COVID-19 pandemic, secondary bacterial infection by A. baumannii has been associated with a 2-fold increase in COVID-19-related mortality. With a rise in antibiotic resistance and a reduction in new antibiotic discovery, it is imperative to investigate alternative therapeutic regimens that complement the use of current antibiotic treatment strategies. Rescuing the efficacy of existing therapies for the treatment of MDR A. baumannii infection represents a financially viable pathway, reducing time, cost, and risk associated with drug innovation.

The antimicrobial and immunomodulatory effects of Ionophores for the treatment of human infection.

Ionophores are a diverse class of synthetic and naturally occurring ion transporter compounds which demonstrate both direct and in-direct antimicrobial properties against a broad panel of bacterial, fungal, viral and parasitic pathogens. In addition, ionophores can regulate the host-immune response during communicable and non-communicable disease states. Although the clinical use of ionophores such as Amphotericin B, Bedaquiline and Ivermectin highlight the utility of ionophores in modern medicine, for many other ionophore compounds issues surrounding toxicity, bioavailability or lack of in vivo efficacy studies have hindered clinical development. The antimicrobial and immunomodulating properties of a range of compounds with characteristics of ionophores remain largely unexplored. As such, ionophores remain a latent therapeutic avenue to address both the global burden of antimicrobial resistance, and the unmet clinical need for new antimicrobial therapies. This review will provide an overview of the broad-spectrum antimicrobial and immunomodulatory properties of ionophores, and their potential uses in clinical medicine for combatting infection.

Association of Time to Surgery After COVID-19 Infection With Risk of Postoperative Cardiovascular Morbidity.

Importance: The time interval between COVID-19 infection and surgery is a potentially modifiable but understudied risk factor for postoperative complications. Objective: To examine the association between time to surgery after COVID-19 diagnosis and the risk of a composite of major postoperative cardiovascular morbidity events within 30 days of surgery. Design, Setting, and Participants: This single-center, retrospective cohort study was conducted among 3997 adult patients (aged ≥18 years) with a previous diagnosis of COVID-19, as documented by a positive polymerase chain reaction test result, who were undergoing surgery from January 1, 2020, to December 6, 2021. Data were obtained through Structured Query Language access of an existing perioperative data warehouse. Statistical analysis was performed March 29, 2022. Exposure: The time interval between COVID-19 diagnosis and surgery. Main Outcomes and Measures: The primary outcome was the composite occurrence of major cardiovascular comorbidity, defined as deep vein thrombosis, pulmonary embolism, cerebrovascular accident, myocardial injury, acute kidney injury, and death within 30 days after surgery, using multivariable logistic regression. Results: A total of 3997 patients (2223 [55.6%]; median age, 51.3 years [IQR, 35.1-64.4 years]; 667 [16.7%] African American or Black; 2990 [74.8%] White; and 340 [8.5%] other race) were included in the study. The median time from COVID-19 diagnosis to surgery was 98 days (IQR, 30-225 days). Major postoperative adverse cardiovascular events were identified in 485 patients (12.1%). Increased time from COVID-19 diagnosis to surgery was associated with a decreased rate of the composite outcome (adjusted odds ratio, 0.99 [per 10 days]; 95% CI, 0.98-1.00; P = .006). This trend persisted for the 1552 patients who had received at least 1 dose of COVID-19 vaccine (adjusted odds ratio, 0.98 [per 10 days]; 95% CI, 0.97-1.00; P = .04). Conclusions and Relevance: This study suggests that increased time from COVID-19 diagnosis to surgery was associated with a decreased odds of experiencing major postoperative cardiovascular morbidity. This information should be used to better inform risk-benefit discussions concerning optimal surgical timing and perioperative outcomes for patients with a history of COVID-19 infection.

Development of a multiplex RT-PCR method for the detection of four porcine enteric coronaviruses.

Porcine enteric coronaviruses are pathogens that cause viral diarrhea in pigs and are widely prevalent worldwide. Moreover, studies have shown that some porcine enteric coronaviruses can infect humans and poultry. In order to effectively monitor these viruses, it is necessary to establish a multiple detection method to understand their prevalence and conduct in-depth research. Common porcine enteric coronaviruses include Porcine epidemic diarrhea virus (PEDV), Porcine transmissible gastroenteritis virus (TGEV), Porcine delta coronavirus (PDCoV), and Swine acute diarrhea syndrome coronavirus (SADS-CoV). Pigs infected with these viruses have the common clinical symptoms that are difficult to distinguish. A quadruplex RT-PCR (reverse transcription-polymerase chain reaction) method for the simultaneous detection of PEDV, PDCoV, TGEV and SADS-CoV was developed. Four pairs of specific primers were designed for the PEDV M gene, PDCoV N gene, TGEV S gene and SADS-CoV RdRp gene. Multiplex RT-PCR results showed that the target fragments of PDCoV, SADS-CoV, PEDV and TGEV could be amplified by this method. and the specific fragments with sizes of 250 bp, 368 bp, 616 bp and 801 bp were amplified, respectively. This method cannot amplify any fragment of nucleic acids of Seneca Valley virus (SVV), Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) and Atypical Porcine Pestivirus (APPV), and has good specificity. The lowest detection limits of PDCoV, PEDV, TGEV and SADS-CoV were 5.66 × 105 copies/µL, 6.48 × 105 copies/µL, 8.54 × 105 copies/µL and 7.79 × 106 copies/µL, respectively. A total of 94 samples were collected from pig farms were analyzed using this method. There were 15 positive samples for PEDV, 3 positive samples for mixed infection of PEDV and PDCoV, 2 positive samples for mixed infection of PEDV and TGEV, and 1 positive sample for mixed infection of PEDV, TGEV, and PDCoV. Multiplex RT-PCR method could detect four intestinal coronaviruses (PEDV, PDCoV, TGEV, and SADS-CoV) in pigs efficiently, cheaply and accurately, which can be used for clinical large-scale epidemiological investigation and diagnosis.

Characterizing data patterns with core-periphery network modeling

Traditional classification techniques usually classify data samples according to the physical organization, such as similarity, distance, and distribution, of the data features, which lack a general and explicit mechanism to represent data classes with semantic data patterns. Therefore, the incorporation of data pattern formation in classification is still a challenge problem. Meanwhile, data classification techniques can only work well when data features present high level of similarity in the feature space within each class. Such a hypothesis is not always satisfied, since, in real-world applications, we frequently encounter the following situation: On one hand, the data samples of some classes (usually representing the normal cases) present well defined patterns;on the other hand, the data features of other classes (usually representing abnormal classes) present large variance, i.e., low similarity within each class. Such a situation makes data classification a difficult task. In this paper, we present a novel solution to deal with the above mentioned problems based on the mesostructure of a complex network, built from the original data set. Specifically, we construct a core–periphery network from the training data set in such way that the normal class is represented by the core sub-network and the abnormal class is characterized by the peripheral sub-network. The testing data sample is classified to the core class if it gets a high coreness value;otherwise, it is classified to the periphery class. The proposed method is tested on an artificial data set and then applied to classify x-ray images for COVID-19 diagnosis, which presents high classification precision. In this way, we introduce a novel method to describe data pattern of the data “without pattern” through a network approach, contributing to the general solution of classification.

An analysis of awe evoked by COVID-19 on green purchasing behavior: A dual-path effect of approach-avoidance motivation.

The spread of the COVID-19 virus shows that it is time to re-emphasize the ethical attitude of "awe of others, awe of nature, and awe of life." It once again reveals the importance of green development. In this study, we introduce awe into the context of COVID-19 and construct an "emotion-motivation-behavior" framework, aiming to explore the relationship between the epidemic and green purchasing behavior from a psychological perspective. Study 1 demonstrates the effect of awe on green purchasing and examines the mediating role of the motivation perspective, to reveal the potential different path. Specifically, prosocial motivation mediates the effect of positive awe evoked by COVID-19 on green purchasing; risk avoidance motivation mediates the effect of negative awe evoked by COVID-19 on green purchasing. Study 2 examined the moderating effect of self-construal. These findings have important management implications for enterprises to correctly use emotional guidance strategies and promote green marketing practices during the COVID-19.

Parenting Stress During COVID-19 Lockdown: Correlates with Family and Child Factors

In response to the COVID-19, a 76-day city-wide strict lockdown was imposed in Wuhan, China. This study aimed to document the family’s psychological status during the lockdown and test the role of family functioning, children’s mental health, child-parent relationship as well as parenting time during pandemic on parenting stress. The results showed that nearly 18% of the children exhibited clinical-level mental health problems. The children’s mental health and child-parent conflict fully mediated general family functioning’s impact on parenting stress. The change in childcaring time moderated the effect of the children’s mental health problems and child-parent conflict on parenting stress. Findings indicated that, during COVID-19 lockdown, children’s mental health and child-parent conflict contributed to parenting stress. More childrearing time would reduce the impact of children’s mental health on parenting stress.

Homologous or heterogenous vaccination boosters enhance neutralizing activities against SARS-CoV-2 Omicron BA.1 variant.

The SARS-CoV-2 Omicron BA.1 variant of concern contains more than 30 mutations in the spike protein, with half of these mutations localized in the receptor-binding domain (RBD). Emerging evidence suggests that these large number of mutations impact the neutralizing efficacy of vaccines and monoclonal antibodies. We investigated the relative contributions of spike protein and RBD mutations in Omicron BA.1 variants on infectivity, cell-cell fusion, and their sensitivity to neutralization by monoclonal antibodies or vaccinated sera from individuals who received homologous (CoronaVac, SinoPharm) or heterologous (CoronaVac-BNT162b2, BioNTech) and nonhuman primates that received a recombinant RBD protein vaccine. Our data overall reveal that the mutations in the spike protein reduced infectivity and cell-cell fusion compared to the D614G variant. The impaired infectivity and cell-cell fusion were dependent on non-RBD mutations. We also find reduced sensitivity to neutralization by monoclonal antibodies and vaccinated sera. However, our results also show that nonhuman primates receiving a recombinant RBD protein vaccine show substantial neutralization activity. Our study sheds light on the molecular differences in neutralizing antibody escape by the Omicron BA.1 variant, and highlights the promise of recombinant RBD vaccines in neutralizing the threat posed by the Omicron BA.1 variant.

Parenting stress in lockdown: The role of changes in Children's routines and Parents' relationship with live‐in grandparents

Objectives Background Method Results Conclusion This study examined parenting stress in relation to changes in preschool‐aged children's routines and change in relationship quality between parents and live‐in grandparents caused by the lockdown.The Chinese city of Wuhan was the first city in the world to enforce a strict citywide lockdown to curtail the spread of Covid‐19. The 76‐day (1/23–4/8/2020) lockdown affected about 13 million of Wuhan's residents, many of whom were families with young children.Survey data were collected from 130 parents in Wuhan on parenting stress, children's routines in learning, play/exercise, screen exposure and sleep before, during and after the lockdown.The lockdown led to a significant decrease in the amount of time that the children spent daily in playing/exercise and learning, but a significant increase in nighttime sleep and screen exposure. Hierarchical linear regression analyses showed that controlling for other variables, the following significantly predicted parenting stress: decrease in learning time, parent–grandparent relationship deterioration, and the interaction between decrease in learning time and parent–grandparent relationship improvement.Minimizing loss of learning time and preventing parent–grandparent relationship deterioration could help reduce parenting stress during the lockdown. [ FROM AUTHOR] Copyright of Journal of Marriage & Family is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Knowledge of Animal Welfare and Consumers' Behavioral Intentions in China: A Moderated Mediation Model of Product Cognition and Empathy.

As purchase power and consumption knowledge increase, consumers gradually demand safer and healthier products. Animal welfare is expected to be an important attribute of high-end food in the future and a major concern for the high-quality development of the livestock industry. The objective was to shed new light on our understanding of consumers' perceptions and behavioral intentions toward animal-friendly food. Using sample data of 1499 food consumers in Guangdong province, China, this study explored the role of product cognition and empathy in the relationship between consumers' knowledge and behavioral intentions. Results indicate that knowledge of animal welfare significantly influences consumers' behavioral intentions, and there is a mediating effect on cognition. Meanwhile, empathy moderates the relationship between product cognition and consumers' intentions to purchase or recommend animal-friendly products. Improving consumers' knowledge of animal welfare and cognitive levels of animal-friendly products may contribute to promoting animal-friendly product consumption and sustainable development of the livestock industry.

Phylogeography and evolutionary dynamics analysis of porcine delta-coronavirus with host expansion to humans.

From 2003 onwards, three pandemics have been caused by coronaviruses: severe acute respiratory syndrome coronavirus (SARS-CoV); middle east respiratory syndrome coronavirus (MERS-CoV); and, most recently, SARS-CoV-2. Notably, all three were transmitted from animals to humans. This would suggest that animals are potential sources of epidemics for humans. The emerging porcine delta-coronavirus was reported to infect children. This is a red flag that marks the ability of PDCoV to break barriers of cross-species transmission to humans. Therefore, we conducted molecular genetic analysis of global clade PDCoV to characterize spatiotemporal patterns of viral diffusion and genetic diversity. PDCoV was classified into three major lineages, according to distribution and phylogenetic analysis of PDCoV. It can be inferred based on the analysis results of the currently known PDCoV strains that PDCoV might originate in Asia. We also selected six special spike amino acid sequences to align and analyze to find seven significant mutation sites. The accumulation of these mutations may enhance dynamic movements, accelerating spike protein membrane fusion events and transmission. Altogether, our study offers a novel insight into the diversification, evolution, and interspecies transmission and origin of PDCoV and emphasizes the need to study the zoonotic potential of the PDCoV and comprehensive surveillance and enhanced biosecurity precautions for PDCoV.

The SARS-CoV-2 spike L452R-E484Q variant in the Indian B.1.617 strain showed significant reduction in the neutralization activity of immune sera.

To assess the impact of the key non-synonymous amino acid substitutions in the RBD of the spike protein of SARS-CoV-2 variant B.1.617.1 (dominant variant identified in the current India outbreak) on the infectivity and neutralization activities of the immune sera, L452R and E484Q (L452R-E484Q variant), pseudotyped virus was constructed (with the D614G background). The impact on binding with the neutralizing antibodies was also assessed with an ELISA assay. Pseudotyped virus carrying a L452R-E484Q variant showed a comparable infectivity compared with D614G. However, there was a significant reduction in the neutralization activity of the immune sera from non-human primates vaccinated with a recombinant receptor binding domain (RBD) protein, convalescent patients, and healthy vaccinees vaccinated with an mRNA vaccine. In addition, there was a reduction in binding of L452R-E484Q-D614G protein to the antibodies of the immune sera from vaccinated non-human primates. These results highlight the interplay between infectivity and other biologic factors involved in the natural evolution of SARS-CoV-2. Reduced neutralization activities against the L452R-E484Q variant will have an impact on health authority planning and implications for the vaccination strategy/new vaccine development.