COVID-19 perseverative cognition and depressive symptoms in Hong Kong: The moderating role of resilience, loneliness and coping strategies.

BACKGROUND: The COVID-19 pandemic significantly increased depression prevalence in general population. However, the relationship between persistent dysfunctional thinking associated with COVID-19 (perseverative-cognition) and depression, and its potential moderators are understudied. We aimed to examine the association between COVID-19 perseverative-cognition and depression, and the moderating effect of potential risk and protective factors on this association in general public during the peak of fifth COVID-19 wave in Hong Kong. METHODS: This survey recruited 14,269 community-dwelling adults between March 15-April 3, 2022 to investigate association between COVID-19 perseverative-cognition and depression, and the moderating effect of resilience, loneliness and three coping strategies (including emotion-focused, problem-focused and avoidant coping) on this association, using hierarchical regression models and simple slope analyses. COVID-19 perseverative cognition was assessed by the Obsession with COVID-19 Scale (OCS) and depressive symptoms were measured by the Patient Health Questionnaire-9 (PHQ-9). RESULTS: Perseverative-cognition was positively associated with depression severity. Resilience, loneliness and three coping strategies moderated the association between perseverative-cognition and depression. Specifically, greater resilience and emotion-focused coping ameliorated the association between perseverative-cognition and depression, while higher levels of loneliness, avoidant and problem-focused coping accentuated such association. LIMITATIONS: Cross-sectional design precluded establishing causality among variables. CONCLUSION: This study affirms that COVID-19 perseverative-cognition is significantly related to depression. Our findings indicate the potential critical role of enhanced personal resilience and social support, and adoption of emotion-focused coping in mitigating negative effect of COVID-19 related maladaptive thinking on depression severity, thereby facilitating development of targeted strategies to reduce psychological distress amidst the prolonged pandemic.

Transcription factor Dmrt1 triggers the SPRY1-NF-κB pathway to maintain testicular immune homeostasis and male fertility.

Bacterial or viral infections, such as Brucella, mumps virus, herpes simplex virus, and Zika virus, destroy immune homeostasis of the testes, leading to spermatogenesis disorder and infertility. Of note, recent research shows that SARS-CoV-2 can infect male gonads and destroy Sertoli and Leydig cells, leading to male reproductive dysfunction. Due to the many side effects associated with antibiotic therapy, finding alternative treatments for inflammatory injury remains critical. Here, we found that Dmrt1 plays an important role in regulating testicular immune homeostasis. Knockdown of Dmrt1 in male mice inhibited spermatogenesis with a broad inflammatory response in seminiferous tubules and led to the loss of spermatogenic epithelial cells. Chromatin immunoprecipitation sequencing (ChIP-seq) and RNA sequencing (RNA-seq) revealed that Dmrt1 positively regulated the expression of Spry1, an inhibitory protein of the receptor tyrosine kinase (RTK) signaling pathway. Furthermore, immunoprecipitation-mass spectrometry (IP-MS) and co-immunoprecipitation (Co-IP) analysis indicated that SPRY1 binds to nuclear factor kappa B1 (NF-κB1) to prevent nuclear translocation of p65, inhibit activation of NF-κB signaling, prevent excessive inflammatory reaction in the testis, and protect the integrity of the blood-testis barrier. In view of this newly identified Dmrt1- Spry1-NF-κB axis mechanism in the regulation of testicular immune homeostasis, our study opens new avenues for the prevention and treatment of male reproductive diseases in humans and livestock.

Impact of COVID-19 Pandemic on Intervals and Outcomes of Repeated Transarterial Chemoembolization in Patients With Hepatocellular Carcinoma.

PURPOSE: Given that the novel coronavirus disease (COVID-19) pandemic has disrupted operations globally, an institution's ability to repeat transarterial chemoembolization (TACE) for patients with hepatocellular carcinoma (HCC) has also been affected. The aim of this study was to evaluate the impact of the COVID-19 on the intervals and outcomes of TACE in HCC patients. MATERIALS AND METHODS: This retrospective study included 154 HCC patients who underwent follow-up after TACE treatment from January 2020 to March 2020 (n = 71, study group) and January 2019 to March 2019 (n = 83, control group) at two institutions in China. The endpoints included the follow-up interval and overall response rate (ORR). Multivariate logistic regression analyses were performed to identify independent risk factors for a worse ORR. The cut-off point was determined to divide follow-up durations into long- and short-intervals. RESULTS: The median follow-up interval was 82.0 days (IQR, 61-109) in the study group, which was significantly longer than 66.0 days (IQR, 51-94) in the control group (P = 0.004). The ORR was 23.9 and 39.8% in the study and control group, respectively (P = 0.037). The cut-off value was 95 days. The grouping (OR, 2.402; 95% CI, 1.040-5.546; P = 0.040), long interval (OR, 2.573; 95% CI, 1.022-6.478; P = 0.045), and China liver cancer staging system (OR, 2.500; 95% CI, 1.797-3.480; P <0.001) were independent predictors for the efficacy of TACE treatment. CONCLUSIONS: The COVID-19 pandemic causes a longer follow-up interval in general, which may further lead to a lower ORR in HCC patients. Those with a follow-up interval of >95 days tend to have a worse prognosis.

A Remote Management System for Control and Surveillance of Echinococcosis: Design and Implementation Based on Internet of Things (preprint)

Background: As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the Qinghai-Tibet Plateau, the harsh climate, low socio-economic status, poor overall hygiene, and remote and insufficient access to all owned dogs exacerbate the difficulty in implementing the ambitious control programme for echinococcosis. New methods and tools are urgently needed to increase the deworming coverage and frequency, promote real-time scientific surveillance, and prevent transmission of echinococcosis. Methods: We propose the remote management system (RMS) based on IoT as a novel tool to control smart deworming devices to deliver efficient PZQ baits to dogs regularly and automatically and also as a smart digital management platform to monitor, analyse, and display the epidemic trends of echinococcosis dynamically, in real time. The RMS is an excellent alternative to existing manual deworming methods and management for surveillance of echinococcosis.Results: The smart collars are fully capable of anti-collision, waterproof, and cold-proof performance, and the battery’s energy is sufficient. The RMS can accurately analyse the monitoring data and parameters including positive rates of canine faeces, and the prevalence of echinococcosis in the general population livestock, and children. The data of dogs deworming and surveillance for echinococcosis is able to be controlled using RMS and has expanded gradually in townships to the whole Hezuo region. A total of 48 administrators (3, 3, 8, 11, 23 at the provincial, municipal, county, township, village levels, respectively) participated in the questionnaire survey, with 93.8% of its overall satisfaction rate.Conclusion: The existing difficulties and challenges in the way of prevention and control for echinococcosis can partially be resolved using the innovative, IoT-based technologies and tools. The proposed RMS to advance the upgrade of existing manual prevention and control models for echinococcosis, especially in the current ongoing COVID-19 pandemic, as social distance and community blockade continue.

Impact of COVID-19 Pandemic on Intervals and Outcomes of Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma (preprint)

Background: Transarterial chemoembolization (TACE) may not be repeated “on-demand” timely for hepatocellular carcinoma (HCC) patients in the era of the novel coronavirus disease (COVID-19). We aim to evaluate the impact of the COVID-19 pandemic on the intervals and outcomes of TACE in HCC patients. Methods: This retrospective study included HCC patients who underwent TACE from Jan 1, 2020 to March 31, 2020 (study group) and Jan 1, 2019 to Mar 31, 2019 (control group) at two institutions in China. The endpoints included the TACE interval and the overall response rate (ORR). Uni- and multivariate logistic analyses were performed to identify independent risk factors associated with a worse ORR. The cut-off point was determined to divide repeated TACE time into long- and short- intervals. Findings: 154 patients (71 in the study group, 83 in the control group) were enrolled. The median TACE interval in the study group was 82·0 days (IQR, 61–109), longer than 66·0 days (IQR, 51–94) in the control group (p=0·004). The ORR was 23·9% in the study group, while 39·8% in the control group (p=0·037). The cut-off value was 95 days. The group (OR, 2·402; 95% CI, 1·040–5·546; p=0·040), the long interval (OR, 2·573; 95% CI, 1·022–6·478; p=0·045), and the stage system (OR, 2·500; 95% CI, 1·797–3·480; p<0·001) were independent predictors. Interpretation: For HCC patients, the COVID-19 pandemic results in a longer re-TACE schedule, which may further lead to a lower ORR. Patients with a TACE interval of more than 95 days may have a worse prognosis. Funding: This study was supported by the National Key Research and Development Project of China (2018YFA0704100), the National Natural Science Foundation of China (Major Scientific Research Instrument Development Program 81827805, 81441054, 81520108015, 81671796, 81901847), Jiangsu Provincial Medical Youth Talent Program (ZDRCA2016078), the Key Research and Development Project of Jiangsu Province (BE2019750), the Natural Science Foundation of Jiangsu Province (BK20190177), Innovation Platform of Jiangsu Provincial Medical Center (YXZXA2016005), and the Suzhou Science and Technology Youth Plan (KJXW2018003).Declaration of Interests: All authors declare no competing interests.Ethics Approval Statement: The study was approved by the institutional ethics review boards in two participating institutions and the requirement for written informed consent was waived due to its retrospective nature.

Population Genetics of SARS-CoV-2: Disentangling Effects of Sampling Bias and Infection Clusters.

A novel RNA virus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is responsible for the ongoing outbreak of coronavirus disease 2019 (COVID-19). Population genetic analysis could be useful for investigating the origin and evolutionary dynamics of COVID-19. However, due to extensive sampling bias and existence of infection clusters during the epidemic spread, direct applications of existing approaches can lead to biased parameter estimations and data misinterpretation. In this study, we first present robust estimator for the time to the most recent common ancestor (TMRCA) and the mutation rate, and then apply the approach to analyze 12,909 genomic sequences of SARS-CoV-2. The mutation rate is inferred to be 8.69 × 10-4 per site per year with a 95% confidence interval (CI) of [8.61 × 10-4, 8.77 × 10-4], and the TMRCA of the samples inferred to be Nov 28, 2019 with a 95% CI of [Oct 20, 2019, Dec 9, 2019]. The results indicate that COVID-19 might originate earlier than and outside of Wuhan Seafood Market. We further demonstrate that genetic polymorphism patterns, including the enrichment of specific haplotypes and the temporal allele frequency trajectories generated from infection clusters, are similar to those caused by evolutionary forces such as natural selection. Our results show that population genetic methods need to be developed to efficiently detangle the effects of sampling bias and infection clusters to gain insights into the evolutionary mechanism of SARS-CoV-2. Software for implementing VirusMuT can be downloaded at https://bigd.big.ac.cn/biocode/tools/BT007081.

Clinical characteristics of four cancer patients with SARS-CoV-2 infection in Wuhan, China.

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) led to the outbreak of pneumonia in Wuhan. The virus is highly infectious. Patients with cancer might be susceptible to the viral infection because of the immunosuppressive state cause by therapies on tumors. CASE PRESENTATION: We present the clinical features of four cancer patients who were infected with SARS-CoV-2 in late January of 2020 in our hospital. Cases 1 and 3 were diagnosed as mild and common type of coronavirus disease 2019 (COVID-2019) and survived from the viral infection. They acquired SARS-CoV-2 infection during their staying in hospital under radiotherapy and surgery of the tumors. Cases 2 and 4 suffered from severe type of COVID-19, and Case 2 was dead owning to the advanced age, uncontrolled chronic B cell lymphocytic leukemia and many other underlying diseases. The immunosuppressive state induced by liver transplantation and anti-rejection therapy might contribute to the severity of COVID-19 in Case 4, who suffered from hepatitis B related hepatocellular carcinoma. However, Case 4 was recovered from COVID-19 after a combination therapy against virus, bacteria and fungi, and also respiratory support. Nearly all patients showed a decrease in lymphocytes including total CD3+ T cells, B cells, and natural killer cells after infection of the virus. CONCLUSIONS: The severity of COVID-19 might be influenced by immune system state and underlying diseases in cancer patients. And the treatment of SARS-CoV-2 infection in cancer patients is challenged by the immunosuppressive state of these patients under chemotherapy or surgery.

COVID-19 and Long-Term Care Policy for Older People in Hong Kong.

Hong Kong is a major international travel hub and a densely populated city geographically adjacent to Mainland China. Despite these risk factors, it has managed to contain the COVID-19 epidemic without a total lockdown of the city. Three months on since the outbreak, the city reported slightly more than 1,000 infected people, only four deaths and no infection in residential care homes or adult day care centers. Public health intervention and population behavioral change were credited as reasons for this success. Hong Kong's public health intervention was developed from the lessons learned during the SARS epidemic in 2003 that killed 299 people, including 57 residential care residents. This perspective summarizes Hong Kong's responses to the COVID-19 virus, with a specific focus on how the long-term care system contained the spread of COVID-19 into residential care homes and home and community-based services.

Rapid Genomic Characterization of SARS-CoV-2 Viruses From Clinical Specimens Using Nanopore Sequencing (preprint)

The outbreak of the novel SARS-CoV-2 has swiftly spread worldwide. Rapid genome sequencing of the SARS-CoV-2 strains has become a helpful tool for better understanding of virus genomic characteristics and the origin. To obtain the virus whole-genome sequence directly from the clinical specimens, we performed the nanopore sequencing using a modified ARTIC protocol on portable nanopore sequencer, and validated the routine 8 hours workflow and 5 hours rapid pipeline. We had made some optimizations to improve the genome sequencing workflow. The sensitivity of the workflow was also tested by serially diluting RNA from clinical samples. The optimized pipeline was finally applied to obtain the whole genomes from 17 clinical specimens in Hangzhou from January 2020 to March 2020. In the obtained 17 complete genomes of SARS-CoV-2, 12 variations were found and analyzed. The genomic variations and phylogenetic analysis hinted the multiple sources and different transmission pattern during the COVID-19 epidemic in Hangzhou, China. In conclusion, the genomic characteristics and the origin of the virus could be quickly determined by nanopore sequencing following our workflows.