A Novel Coronavirus from Patients with Pneumonia in China, 2019

SARS-CoV-2 replication and drug discovery

The coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has killed millions of people and continues to wreak havoc across the globe. This sudden and deadly pandemic emphasizes the necessity for anti-viral drug development that can be rapidly administered to reduce morbidity, mortality, and virus propagation. Thus, lacking efficient anti-COVID-19 treatment, and especially given the lengthy drug development process as well as the critical death tool that has been associated with SARS-CoV-2 since its outbreak, drug repurposing (or repositioning) constitutes so far, the ideal and ready-to-go best approach in mitigating viral spread, containing the infection, and reducing the COVID-19-associated death rate. Indeed, based on the molecular similarity approach of SARS-CoV-2 with previous coronaviruses (CoVs), repurposed drugs have been reported to hamper SARS-CoV-2 replication. Therefore, understanding the inhibition mechanisms of viral replication by repurposed anti-viral drugs and chemicals known to block CoV and SARS-CoV-2 multiplication is crucial, and it opens the way for particular treatment options and COVID-19 therapeutics. In this review, we highlighted molecular basics underlying drug-repurposing strategies against SARS-CoV-2. Notably, we discussed inhibition mechanisms of viral replication, involving and including inhibition of SARS-CoV-2 proteases (3C-like protease, 3CLpro or Papain-like protease, PLpro) by protease inhibitors such as Carmofur, Ebselen, and GRL017, polymerases (RNA-dependent RNA-polymerase, RdRp) by drugs like Suramin, Remdesivir, or Favipiravir, and proteins/peptides inhibiting virus-cell fusion and host cell replication pathways, such as Disulfiram, GC376, and Molnupiravir. When applicable, comparisons with SARS-CoV inhibitors approved for clinical use were made to provide further insights to understand molecular basics in inhibiting SARS-CoV-2 replication and draw conclusions for future drug discovery research.

Malnutrition independently predicts mortality at 18 months in patients hospitalised for severe acute respiratory syndrome corona virus 2 (SARS-coV-2)

RATIONALE

To investigate the association between malnutrition and patient outcome following hospitalisation for Corona Virus Disease 2019 (COVID-19).

METHODS

In April 2020, 268 adult patients (235 included in the follow-up) hospitalised for COVID-19 infection were evaluated for malnutrition risk and diagnosis using modified Nutritional Risk Screening 2002 and modified Global Leadership Initiative on Malnutrition criteria (GLIM), respectively. An 18-month follow-up was carried out to assess the incidence and the associated risk factors for death and re-hospitalization.

RESULTS

The outcome was unknown for 33 patients. Death occurred in 39% of the 235 patients included in the follow-up. The risk of death was independently associated with malnutrition risk or diagnosis of malnutrition, whereas the male sex showed a protective association. The Kaplan-Meier survival curves showed that patients with diagnosis of malnutrition had lower survival rate. The re-hospitalization rate was 31% and was negatively associated with BMI≥25, and positively associated with length of hospitalisation for COVID-19 and with cancer comorbidity.

CONCLUSIONS

In hospitalized patients for SARS-CoV-2 disease, both malnutrition risk (p = 0.050) and diagnosis of malnutrition (p = 0.047 with modified GLIM and C-reactive protein >0.5 mg/dL; p = 0.024 with modified GLIM and C-reactive protein >5 mg/dL) were predictive risk factors for mortality, whereas male sex was associated with lower risk of death. Overweight at time of hospitalization and the length of hospitalisation were respectively protective and risk factor for re-hospitalization after discharge.

Clinician Wellbeing and Mental Health Assessment Across Two Acute Care Hospitals During the COVID-19 Pandemic

OBJECTIVE

The purposes of this study were to determine whether positive work environments affect clinician wellbeing and mental health, and to identify participants' priority interventions to improve clinician wellbeing. This study was designed to determine the potential benefit of modifying the aforementioned factors for clinicians and hospitals to impact positive patient outcomes.

BACKGROUND

The SARS-CoV-2 virus pandemic has become one of the leading causes of death in the United States and worldwide, and has exacerbated widespread burnout among health care professionals. This has resulted in negative collateral implications for the stability of the clinician workforce. A Clinician Wellbeing study (CWS) was launched in two Magnet®-designated hospitals in the southeast. The CWS was part of a multi-site collaborative research project led by the Center for Health Outcomes and Policy Research (CHOPR) at the University of Pennsylvania School of Nursing.

METHOD

A cross-sectional observational study design was implemented. Data were collected through anonymous surveys of 708 registered nurses (RNs) and advanced practice providers (APPs) working in two Magnet hospitals in the southeastern United States. Each participant completed 8 surveys.

RESULTS

Clinicians' self-reported level of burnout was higher for both RNs and APPs at Emory University Hospital than Emory Saint Joseph's Hospital including intent to leave and dissatisfaction with their jobs. RNs and APPs self-reported their overall health to be good or excellent and they reported sleep quality as fair. Both groups in both hospitals indicated that they experienced anxiety, depression, and stress. The APPs reported a higher percent that their work did not leave enough time for personal and family life. Data also indicated that the primary work environment concern was related to inadequate nurse staffing.

CONCLUSIONS

The data illuminated opportunities for the two hospitals to employ continuous improvement interventions to positively transform the work environment.

The SARS-unique domain (SUD) of SARS-CoV-2 nsp3 protein inhibits the antiviral immune responses through the NF-κB pathway

Nuclear factor κB (NF-κB) plays a crucial role in various cellular processes, including inflammatory and immune responses. Its activation is tightly regulated by the IKK (IκB kinase) complex. Upon severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the virus is initially recognized by the innate immune system and typically activates the NF-κB pathway, leading to a severe inflammatory response. However, the influence of viral proteins upon pro-inflammatory pathway is complicated. Here, we demonstrated that the viral protein nsp3 of SARS-CoV-2 exhibits an unusual function, which attenuated the NF-κB-mediated inflammatory response against SARS-CoV-2 infection in a unique manner. nsp3 interacted with the essential NF-κB modulator NEMO/IKKγ and promoted its polyubiquitylation via the E3 ubiquitin ligase CBL (Cbl Proto-Oncogene). Consequently, polyubiquitylated NEMO undergoes proteasome-dependent degradation, which disrupts NF-κB activation. Moreover, we found that the SARS unique domain (SUD) in nsp3 of SARS-CoV-2 is essential for inducing NEMO degradation, whereas this function is absent in SUD of SARS-CoV. The reduced activation of pro-inflammatory response at an early stage could mask the host immune response and faciliate excessive viral replication. Conversely, this finding may partially explain why SARS-CoV-2 causes a less inflammatory reaction than SARS-CoV, resulting in more mild or moderate COVID-19 cases and greater transmissibility. Given that NEMO is important for NF-κB activation, we propose that inhibiting polyubiquitylation and degradation of NEMO upon SARS-CoV-2 infection is a novel strategy to modulate the host inflammatory response.

COVID-19 Vaccination in Liver Cirrhosis: Safety and Immune and Clinical Responses

Introduction

Three years after the beginning of the SARS-CoV-2 pandemic, the safety and efficacy of COVID-19 vaccination in liver cirrhosis (LC) patients remain controversial. We aimed to study the safety, immunological, and clinical responses of LC patients to COVID-19 vaccination.

Methods

Prospective multicentric study in adults with LC eligible for COVID-19 vaccination, without prior known infection. Patients were followed up until the timing of a booster dose, SARS-CoV-2 infection, or death. Spike-protein immunoglobulin G antibody titers for SARS-CoV-2 at 2 weeks, 3 months, and 6 months postvaccination were assessed. Antibody titers <33.8 binding antibody units (BAU)/mL were considered seronegative and <200 BAU/mL suboptimal. Postvaccination infection and its severity were registered.

Results

We included 124 LC patients, 81% males, mean aged 61 ± 10 years, with a mean follow-up of 221 ± 26 days. Alcohol was the most common (61%) cause of cirrhosis, and 7% were under immunosuppressants for autoimmune hepatitis; 69% had portal hypertension, 42% had a previous decompensation, and 21% had a Child-Pugh-Turcotte score of B/C. The type of vaccine administrated was BNT162b2 (n = 59, 48%), ChAdOx1nCoV-19 (n = 45, 36%), mRNA-1273 (n = 14, 11%), and Ad26.COV2.S (n = 6, 5%). Eighteen percent of the patients reported adverse events after vaccination, none serious. Median [Q1; Q3] antibody titers were 1,185 [280; 2,080] BAU/mL at 2 weeks, 301 [72; 1,175] BAU/mL at 3 months, and 192 [49; 656] BAU/mL at 6 months. There were seronegative and suboptimal antibody responses in 8% and 23% of the patients at 2 weeks, 16% and 38% at 3 months, and 22% and 48% at 6 months. Older age and adenovirus vector vaccines were the only factors associated with seronegative and suboptimal responses at 2 weeks and 3 months (p < 0.05) in a multivariable logistic regression analysis. Eleven patients (9%) were infected with SARS-CoV-2 during follow-up (3.8-6.6 months postvaccination), all with mild disease. There were no differences regarding the type of vaccine, and 73% had antibody titers >200 BAU/mL at 3 months.

Conclusion

COVID-19 vaccines in patients with LC were safe, without serious adverse events. The humoral and clinical responses were similar to the reported for the general population. Humoral response was adversely impacted by older age and adenovirus vector vaccines and unrelated to the liver disease severity.

Developing a mouse model of human coronavirus NL63 infection: comparison with rhinovirus-A1B and effects of prior rhinovirus infection

Human coronavirus (HCoV)-NL63 causes respiratory tract infections in humans and uses angiotensin-converting enzyme 2 (ACE2) as a receptor. We sought to establish a mouse model of HCoV-NL63 and determine whether prior rhinovirus (RV)-A1B infection affected HCoV-NL63 replication. HCoV-NL63 was propagated in LLC-MK2 cells expressing human ACE2. RV-A1B was grown in HeLa-H1 cells. C57BL6/J or transgenic mice expressing human ACE2 were infected intranasally with sham LLC-MK2 cell supernatant or 1 × 105 tissue culture infectious dose (TCID50) units HCoV-NL63. Wild-type mice were infected with 1 × 106 plaque-forming units (PFU) RV-A1B. Lungs were assessed for vRNA, bronchoalveolar lavage (BAL) cells, histology, HCoV-NL63 nonstructural protein 3 (nsp3), and host gene expression by next-generation sequencing and qPCR. To evaluate sequential infections, mice were infected with RV-A1B followed by HCoV-NL63 infection 4 days later. We report that hACE2 mice infected with HCoV-NL63 showed evidence of replicative infection with increased levels of vRNA, BAL neutrophils and lymphocytes, peribronchial and perivascular infiltrates, and expression of nsp3. Viral replication peaked 3 days after infection and inflammation persisted 6 days after infection. HCoV-NL63-infected hACE2 mice showed increased mRNA expression of IFNs, IFN-stimulated proteins, and proinflammatory cytokines. Infection with RV-A1B 4 days before HCoV-NL63 significantly decreased both HCoV-NL63 vRNA levels and airway inflammation. Mice infected with RV-A1B prior to HCoV-NL63 showed increased expression of antiviral proteins compared with sham-treated mice. In conclusion, we established a mouse model of HCoV-NL63 replicative infection characterized by relatively persistent viral replication and inflammation. Prior infection with RV-A1B reduced HCoV-NL63 replication and airway inflammation, indicative of viral interference.NEW & NOTEWORTHY We describe a mouse model of human coronavirus (HCoV) infection. Infection of transgenic mice expressing human angiotensin-converting enzyme 2 (ACE2) with HCoV-NL63 produced a replicative infection with peribronchial inflammation and nonstructural protein 3 expression. Mice infected with RV-A1B 4 days before HCoV-NL63 showed decreased HCoV-NL63 replication and airway inflammation and increased expression of antiviral proteins compared with sham-treated mice. This research may shed light on human coronavirus infections, viral interference, and viral-induced asthma exacerbations.

Population Pharmacokinetics of Casirivimab and Imdevimab in Pediatric and Adult Non-Infected Individuals, Pediatric and Adult Ambulatory or Hospitalized Patients or Household Contacts of Patients Infected with SARS-COV-2

INTRODUCTION

Casirivimab (CAS) and imdevimab (IMD) are two fully human monoclonal antibodies that bind different epitopes on the receptor binding domain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and block host receptor interactions. CAS + IMD and was developed for the treatment and prevention of SARS-CoV-2 infections.

METHODS

A population pharmacokinetic (PopPK) analysis was conducted using pooled data from 7598 individuals from seven clinical studies to simultaneously fit concentration-time data of CAS and IMD and investigate selected covariates as sources of variability in PK parameters. The dataset comprised CAS + IMD-treated pediatric and adult non-infected individuals, ambulatory or hospitalized patients infected with SARS-CoV-2, or household contacts of patients infected with SARS-CoV-2.

RESULTS

CAS and IMD concentration-time data were both appropriately described simultaneously by a two-compartment model with first-order absorption following subcutaneous dose administration and first-order elimination. Clearance estimates of CAS and IMD were 0.193 and 0.236 L/day, respectively. Central volume of distribution estimates were 3.92 and 3.82 L, respectively. Among the covariates identified as significant, body weight and serum albumin had the largest impact (20-34%, and ~ 7-31% change in exposures at extremes, respectively), while all other covariates resulted in small differences in exposures. Application of the PopPK model included simulations to support dose recommendations in pediatrics based on comparable exposures of CAS and IMD between different weight groups in pediatrics and adults following weight-based dosing regimens.

CONCLUSIONS

This analysis provided important insights to characterize CAS and IMD PK simultaneously in a diverse patient population and informed pediatric dose selection.

Influenza, SARS-CoV-2, and Their Impact on Chronic Lung Diseases and Fibrosis: Exploring Therapeutic Options

Respiratory tract infections represent a significant global public health concern, disproportionately affecting vulnerable populations such as children, the elderly, and immunocompromised individuals. RNA viruses, particularly influenza viruses and coronaviruses, significantly contribute to respiratory illnesses, especially in immunosuppressed and elderly individuals. Influenza A viruses (IAVs) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to pose global health threats due to their capacity to cause annual epidemics, with profound implications for public health. In addition, the increase in global life expectancy is influencing the dynamics and outcomes of respiratory viral infections. Understanding the molecular mechanisms by which IAVs and SARS-CoV-2 contribute to lung disease progression is therefore crucial. The aim of this review is to comprehensively explore the impact of IAVs and SARS-CoV-2 on chronic lung diseases, with a specific focus on pulmonary fibrosis in the elderly. It also outlines potential preventive and therapeutic strategies and suggests directions for future research.

Coronavirus disease 2019 vaccination effectiveness based on the 2021 Japanese dialysis registry

AIM

The effectiveness of the coronavirus disease (COVID-19) vaccine in Japanese patients undergoing haemodialysis has previously not been evaluated on a large scale. We analyzed data from the Japanese Society for Dialysis Therapy Renal Data Registry (JRDR), covering nearly all Japanese patients undergoing dialysis (~95% coverage), to examine the association between COVID-19 vaccination and infection or mortality.

METHODS

We used data from the JRDR end-of-year surveys conducted in 2020 and 2021, including information on the COVID-19 vaccination and infection months. COVID-19 infection incidence and its associated mortality rates based on vaccination status (time updated) and odds ratio (OR) (vaccinated vs. unvaccinated) were estimated monthly from April 2021, when vaccination commenced in Japan.

RESULTS

COVID-19 infection analysis included 228 865 patients (215 941 vaccinated and 12 924 unvaccinated patients at the end of 2021). The age- and sex-adjusted ORs (aORs) were significantly lower in August, September, October and November 2021, especially in September (aOR [95% confidence interval (CI)]: 0.25 [0.18-0.36]). Additional adjustments for past medical history and laboratory results rarely affected these results. Similarly, in the COVID-19-related mortality analysis with 228 731 patients, including 216 781 vaccinated and 11 950 unvaccinated at the end of 2021, COVID-19-related mortality risk was significantly lower in the vaccinated group in August, September, October and November (aOR [95% CI]: August, 0.32 [0.12-0.84], September, 0.04 [0.01-0.11]; October, 0.10 [0.01-0.81]; November, 0.05 [0.00-0.79]).

CONCLUSION

In Japanese patients undergoing haemodialysis, the first or second COVID-19 vaccine dose was significantly associated with decreased COVID-19 infection and mortality rates, suggesting its effectiveness in this population.

Rapid response to a COVID-19 outbreak at a nightclub in Kagoshima prefecture, Japan, in the early phase of the COVID-19 pandemic, June and July 2020: A descriptive epidemiological study

INTRODUCTION

During COVID-19 pandemic in Japan, nightclubs were identified as high-risk locations for COVID-19 outbreaks, but an outbreak investigation in this setting is challenging because of the anonymous and opportunistic nature of interactions.

METHODS

The joint rapid response team collected epidemiological data, conducted descriptive epidemiology to determine the characteristics of cases associated with the nightclub, and implemented countermeasures. Polymerase chain reaction (PCR) tests were performed by the Local Institute of Public Health, Kagoshima University, and several commercial laboratories.

RESULTS

Between June 15 and July 20, 2020, 121 individuals tested positive for SARS-CoV-2 (59 confirmed and 62 asymptomatic) of whom 8 were nightclub staff who had no travel history of outside Kagoshima, 66 were guests, and 47 were subsequent contacts. The median age was 32 years (interquartile range: 24-43 years). One individual showed severe symptoms but there were no fatal. The epidemic curve showed one peak on June 30 and July 1 with a limited number of cases subsequently. Of the 121 cases, 116 and 5 were in individuals living in and outside Kagoshima Prefecture, respectively. Haplotype network analysis showed 5 genome-wide single-nucleotide variants between the isolates before and during this outbreak.

CONCLUSIONS

There is a possibility that unidentified guests from outside Kagoshima Prefecture could infect staff who could subsequently spread the virus to guests and other staff, who were mainly a younger population. The rapid outbreak response enabled onward transmission in the community to be minimized. This outbreak investigation could provide insights for effective responses to challenging situations in future pandemic.

Cardiovascular disease and covid-19: A systematic review

Background

Cardiovascular complications of COVID-19 are numerous and aspects of this phenomenon are not well known. The main objective of this manuscript is a systematic review of the acute and chronic cardiovascular complications secondary to COVID-19.

Methods

A systematic review of the literature through Medline via PubMed was conducted (2020-2024).

Results

There is a plethora of effects of COVID-19 on the heart in the acute setting. Here we discuss pathophysiology, myocardial infarctions, heart failure, Takotsubo Cardiomyopathy, myocardial injury, myocarditis and arrhythmias that are caused by COVID-19. Additionally, these cardiovascular injuries can linger and may be an underlying cause of some Long COVID symptoms.

Conclusions

Cardiovascular complications of COVID-19 are numerous and life-threatening. Long COVID can affect cardiovascular health. Microclotting induced by SARS-CoV-2 infection could be a therapeutic target for some aspects of Long Covid.

Evaluating the Impact of Different Education Methods on Cleft Lip and Palate Anatomy Training

OBJECTIVE

To compare the effects of different educational methods on short and long-term learning outcomes and to investigate the satisfaction and perception of cleft lip and palate (CLP) education among dental students.

DESIGN

The theoretical exam on CLP to determine their baseline level of knowledge was taken by the participants(T0). After the exam, the students were randomly divided into three groups and all students attended a lecture-based traditional education on CLP. Students in the first group (n = 40) received no additional teaching (Group A). Students in the second group (n = 38) received model teaching with 3D-printed models (Group B). The third group (n = 39) was trained in e-learning-supported education (Group C). The theoretical exam was repeated immediately after the education (T1/short-term learning), one week later (T2/early long-term learning), and one month later (T3/late long-term learning), and the effect of the education methods on information level was assessed. In addition, a post-training satisfaction questionnaire was administered to participants of Group B and Group C.

RESULTS

Both 3D model-based and e-learning-supported approaches significantly improved immediate knowledge of CLP. However, no significant differences were found in knowledge retention over time between the all methods. A majority of students favored the incorporation of both methods in orthodontic education.

CONCLUSIONS

While both 3D models and e-learning effectively enhance short-term CLP knowledge among dental students, their long-term educational impacts are comparable. However, student preferences indicated that the use of 3D-printed models and e-learning strategies may be useful augmentations to traditional lecture education.

Exhaled Volatile Organic Compounds Detection in Pneumonia Screening: A Comprehensive Meta-analysis

BACKGROUND

Pneumonia is a common lower respiratory tract infection, and early diagnosis is crucial for timely treatment and improved prognosis. Traditional diagnostic methods for pneumonia, such as chest imaging and microbiological examinations, have certain limitations. Exhaled volatile organic compounds (VOCs) detection, as an emerging non-invasive diagnostic technique, has shown potential application value in pneumonia screening.

METHOD

A systematic search was conducted on PubMed, Embase, Cochrane Library, and Web of Science, with the retrieval time up to March 2024. The inclusion criteria were diagnostic studies evaluating exhaled VOCs detection for the diagnosis of pneumonia, regardless of the trial design type. A meta-analysis was performed using a bivariate model for sensitivity and specificity.

RESULTS

A total of 14 diagnostic studies were included in this meta-analysis. The pooled results demonstrated that exhaled VOCs detection had a combined sensitivity of 0.94 (95% CI: 0.92-0.95) and a combined specificity of 0.83 (95% CI: 0.81-0.84) in pneumonia screening, with an area under the summary receiver operating characteristic (SROC) curve (AUC) of 0.96. The pooled diagnostic odds ratio (DOR) was 104.37 (95% CI: 27.93-390.03), and the pooled positive and negative likelihood ratios (LR) were 8.98 (95% CI: 3.88-20.80) and 0.11 (95% CI: 0.05-0.22), indicating a high diagnostic performance.

CONCLUSION

This study highlights the potential of exhaled VOCs detection as an effective, non-invasive screening method for pneumonia, which could facilitate future diagnosis in pneumonia. Further high-quality, large-scale studies are required to confirm the clinical utility of exhaled VOCs detection in pneumonia screening.

STUDY REGISTRATION

PROSPERO, Review no. CRD42024520498.

The role and therapeutic potential of itaconate in lung disease

Lung diseases triggered by endogenous or exogenous factors have become a major concern, with high morbidity and mortality rates, especially after the coronavirus disease 2019 (COVID-19) pandemic. Inflammation and an over-activated immune system can lead to a cytokine cascade, resulting in lung dysfunction and injury. Itaconate, a metabolite produced by macrophages, has been reported as an effective anti-inflammatory and anti-oxidative stress agent with significant potential in regulating immunometabolism. As a naturally occurring metabolite in immune cells, itaconate has been identified as a potential therapeutic target in lung diseases through its role in regulating inflammation and immunometabolism. This review focuses on the origin, regulation, and function of itaconate in lung diseases, and briefly discusses its therapeutic potential.

Impact of COVID-19 pandemic on care of maintenance hemodialysis patients: a multicenter study

BACKGROUND

The COVID-19 pandemic posed a challenge to hemodialysis (HD) patients. While most outpatient and elective medical services stopped during lockdown, HD patients continued to visit their dialysis centers. We aimed to assess how the initial phase of the pandemic affected patient care by comparing dialysis adequacy and other parameters of patient care before and during the first 10 months of the COVID-19 pandemic.

METHODS

In a retrospective multi-center observational study, all adult dialysis patients in five dialysis centers in Alexandria, Egypt were included. Dialysis adequacy, missed sessions, laboratory parameters and hospitalization were recorded. Data of the 10 months before and the 10 months after the pandemic were compared and predictors of adequacy were determined.

RESULTS

In the 388 HD patients included in the study, the number of missed sessions was higher during the pandemic with peaks during the first and second wave of the pandemic. The ratio of patients to nurses, phosphorus and parathormone levels were significantly higher during the pandemic, while urea reduction ratio, Kt/V, hemoglobin, calcium and albumin levels were significantly lower. In patients who reported difficult accessibility, missed HD sessions were higher during lockdown. Hospital admissions doubled during the pandemic, with COVID-19 infection being the main cause (45.5%). Number of patients per nurse and interdialytic weight gain were predictors of inadequate dialysis.

CONCLUSION

The COVID-19 pandemic and its related lockdown negatively affected multiple aspects of dialysis patient care. Continued access of optimum care in dialysis patients should be a priority in any future mass events.

The collateral effects of COVID-19 on coastal and marine environments

The COVID-19 pandemic has generated a global health and economic crisis, significantly impacting coastal and marine environments. Lockdowns and restrictions, while necessary for public health, led to both positive and negative environmental consequences. Reduced human activity resulted in decreased pollution and habitat disruption, allowing for ecosystem recovery and improved water quality. However, the surge in single-use plastics and personal protective equipment (PPE) during the pandemic exacerbated plastic pollution. Additionally, the economic downturn severely affected coastal communities reliant on tourism and fisheries, highlighting the need for sustainable recovery strategies. This Special Issue explores these collateral effects, emphasizing the importance of adaptive management and resilient governance in safeguarding coastal and marine ecosystems against future crises.

Metabolic changes assessed by 1H MR spectroscopy in the corpus callosum of post-COVID patients

OBJECTIVE

Many patients with long COVID experience neurological and psychological symptoms. Signal abnormalities on MR images in the corpus callosum have been reported. Knowledge about the metabolic profile in the splenium of the corpus callosum (CCS) may contribute to a better understanding of the pathophysiology of long COVID.

MATERIALS AND METHODS

Eighty-one subjects underwent proton MR spectroscopy examination. The metabolic concentrations of total N-acetylaspartate (NAA), choline-containing compounds (Cho), total creatine (Cr), myo-inositol (mI), and NAA/Cho in the CCS were statistically compared in the group of patients containing 58 subjects with positive IgG COVID-19 antibodies or positive SARS-CoV-2 qPCR test at least two months before the MR and the group of healthy controls containing 23 subjects with negative IgG antibodies.

RESULTS

An age-dependent effect of SARS-CoV-2 on Cho concentrations in the CCS has been observed. Considering the subjective threshold of age = 40 years, older patients showed significantly increased Cho concentrations in the CCS than older healthy controls (p = 0.02). NAA, Cr, and mI were unchanged. All metabolite concentrations in the CCS of younger post-COVID-19 patients remained unaffected by SARS-CoV-2. Cho did not show any difference between symptomatic and asymptomatic patients (p = 0.91).

DISCUSSION

Our results suggest that SARS-CoV-2 disproportionately increases Cho concentration in the CCS among older post-COVID-19 patients compared to younger ones. The observed changes in Cho may be related to the microstructural reorganization in the CCS also reported in diffusion measurements rather than increased membrane turnover. These changes do not seem to be related to neuropsychological problems of the post-COVID-19 patients. Further metabolic studies are recommended to confirm these observations.

Assessment of the Effectiveness of Educating Elderly Residents in an Urban Community in South India on Managing Post-COVID-19 Musculoskeletal Complications

Objective This study aimed to enhance post-COVID-19 patients' understanding of musculoskeletal issues and their management through a structured educational program in the elderly population. Methodology The study included 60 participants. Each participant was assessed using sociodemographic tools and a structured knowledge questionnaire on post-COVID-19 musculoskeletal complications among elderly individuals. A pretest was conducted on all participants using these tools. Subsequently, a seven-day structured training program was administered, followed by a post-test using the same tools. A comparative analysis was performed to evaluate the difference in understanding between the pretest and post-test results. Results The pretest comprehension levels in the below-average and average groups showed a mean and standard deviation of 3±1.5 and 14.5±2.0, respectively, with a statistically significant p-value of 0.0001 and a t-value of 15.6. In the post-test, proficiency levels in the average and above-average groups demonstrated a mean and standard deviation of 18.2±1.5 and 24.5±3.6, respectively, with a statistically significant t-value of 6.88 and a p-value of 0.0001. Among the elderly participants, there was a substantial improvement in competence between the pre-and post-test scores, with a highly significant p-value of 0.0001. Conclusion Our study concluded that the elderly population was particularly vulnerable to various diseases and complications due to aging, making it essential to provide education on managing post-COVID-19 musculoskeletal issues.

The roles of the kynurenine pathway in COVID-19 neuropathogenesis

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the highly contagious respiratory disease Corona Virus Disease 2019 (COVID-19) that may lead to various neurological and psychological disorders that can be acute, lasting days to weeks or months and possibly longer. The latter is known as long-COVID or more recently post-acute sequelae of COVID (PASC). During acute COVID-19 infection, a strong inflammatory response, known as the cytokine storm, occurs in some patients. The levels of interferon-γ (IFN-γ), interferon-β (IFN-β), interleukin-6 (IL-6) and tumour necrosis factor-alpha (TNF-α) are particularly increased. These cytokines are known to activate the enzyme indoleamine 2,3-dioxygenase 1 (IDO-1), catalysing the first step of tryptophan (Trp) catabolism through the kynurenine pathway (KP) leading to the production of several neurotoxic and immunosuppressive metabolites. There is already data showing elevation in KP metabolites both acutely and in PASC, especially regarding cognitive impairment. Thus, it is likely that KP involvement is significant in SARS-CoV-2 pathogenesis especially neurologically.

Application of the second-generation sequencing technology of metagenomics in the detection of pathogens in respiratory patients

OBJECTIVE

To explore the application value of the second-generation metagenomic next-generation sequencing (mNGS) in the detection of pathogens in patients with pulmonary infection.

METHODS

We conducted a retrospective analysis of 65 pulmonary infection cases treated at our institution and the Fifth People's Hospital of Shanghai between January 2021 and May 2023. All subjects were subjected to mNGS, targeted next-generation sequencing (tNGS), and conventional microbiological culture. A comparative analysis was performed to evaluate the diversity and quantity of pathogens identified by these methodologies and to appraise their respective diagnostic capabilities in pulmonary infection diagnostics.

RESULTS

The mNGS successfully identified etiological agents in 60 of the 65 cases, compared to tNGS, which yielded positive results in 42 cases, and conventional laboratory cultures, which detected pathogens in 24 cases. At the bacterial genus level, mNGS discerned 9 genera, 11 species, and 92 isolates of pathogenic bacteria, whereas tNGS identified 8 genera, 8 species, and 71 isolates. Conventional methods were less sensitive, detecting only 6 genera, 7 species, and 33 isolates. In terms of fungal detection, mNGS identified 4 fungal species, tNGS detected 4 isolates of the Candida genus, and conventional methods identified 2 isolates of the same genus. Viral detection at the species level revealed 10 species and 46 isolates by mNGS, whereas tNGS detected only 3 species and 7 isolates. The area under the receiver operating characteristic curve (AUC) with 95% confidence intervals for diagnosing pulmonary infections was 0.818 (0.671 to 0.966) for mNGS, 0.668 (0.475 to 0.860) for tNGS, and 0.721 (0.545 to 0.897) for conventional culture.The mNGS demonstrates superior diagnostic efficacy and pathogen detection breadth in critically ill patients with respiratory infections, offering a significant advantage by reducing the time to diagnosis. The enhanced sensitivity and comprehensive pathogen profiling of mNGS underscore its potential as a leading diagnostic tool in clinical microbiology.

Programmable and ultra-efficient Argonaute protein-mediated nucleic acid tests: A review

With the attributes of high sensitivity, single-base resolution, multiplex detection capability, and programmability upon nucleic acid recognition, Argonaute (Ago)-based biosensing assays are increasingly recognized as one of the most promising tools for precise identification and quantification of target analytes. Employed as highly specific sequence recognition elements of these robust diagnostic methods, Agos are revolutionizing how nucleic acid targets are detected. A systematic and comprehensive summary of this emerging and rapid-advancing technology is necessary to give play to the potential of Ago-based biosensing assays. The structure and function of Agos were briefly overviewed at the beginning of the work, followed by a review of the recent advancements in employing Agos sensing for detecting various targets with a comprehensive analysis such as viruses, tumor biomarkers, pathogens, mycoplasma, and parasite. The significance and benefits of these platforms were then deliberated. In addition, the authors shared subjective viewpoints on the existing challenges and offered relevant guidance for the future progress of Agos assays. Finally, the future research outlook regarding Ago-based sensing in this field was also outlined. As such, this review is expected to offer valuable information and fresh perspectives for a broader group of researchers.

An IGHG1 variant exhibits polarized prevalence and confers enhanced IgG1 antibody responses against life-threatening organisms

Evolutionary pressures sculpt population genetics, whereas immune adaptation fortifies humans against life-threatening organisms. How the evolution of selective genetic variation in adaptive immune receptors orchestrates the adaptation of human populations to contextual perturbations remains elusive. Here, we show that the G396R coding variant within the human immunoglobulin G1 (IgG1) heavy chain presents a concentrated prevalence in Southeast Asian populations. We uncovered a 190-kb genomic linkage disequilibrium block peaked in close proximity to this variant, suggestive of potential Darwinian selection. This variant confers heightened immune resilience against various pathogens and viper toxins in mice. Mechanistic studies involving severe acute respiratory syndrome coronavirus 2 infection and vaccinated individuals reveal that this variant enhances pathogen-specific IgG1+ memory B cell activation and antibody production. This G396R variant may have arisen on a Neanderthal haplotype background. These findings underscore the importance of an IGHG1 variant in reinforcing IgG1 antibody responses against life-threatening organisms, unraveling the intricate interplay between human evolution and immune adaptation.

Synthesis and Characterization of DHODH Inhibitors Based on the Vidofludimus Scaffold with Pronounced Anti-SARS-CoV-2 Activity

New strategies for the rapid development of broad-spectrum antiviral therapies are urgently required for emerging and re-emerging viruses like the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Host-directed antivirals that target universal cellular metabolic pathways necessary for viral replication present a promising approach with broad-spectrum activity and low potential for development of viral resistance. Dihydroorotate dehydrogenase (DHODH) was identified as one of those universal host factors essential for the replication of many clinically relevant human pathogenic viruses. DHODH is the rate-limiting enzyme catalyzing the fourth step in the de novo pyrimidine synthesis. Therefore, it is also developed as a therapeutic target for many diseases relying on cellular pyrimidine resources, such as cancer, autoimmune diseases and viral or bacterial infection. Thus, several DHODH inhibitors, including vidofludimus calcium (VidoCa, IMU-838), are currently in development or have been investigated in clinical trials for the treatment of virus infections such as SARS-CoV-2-mediated coronavirus disease 19 (COVID-19). Here, we report the medicinal chemistry optimization of VidoCa that resulted in metabolically more stable derivatives with improved DHODH target inhibition in various mammalian species, which translated into improved efficacy against SARS-CoV-2.

Aptamer-Mediated Electrochemical Detection of SARS-CoV-2 Nucleocapsid Protein in Saliva

Gold standard detection of SARS-CoV-2 by reverse transcription quantitative PCR (RT-qPCR) can achieve ultrasensitive viral detection down to a few RNA copies per sample. Yet, the lengthy detection and labor-intensive protocol limit its effectiveness in community screening. In view of this, a structural switching electrochemical aptamer-based biosensor (E-AB) targeting the SARS-CoV-2 nucleocapsid (N) protein was developed. Four N protein-targeting aptamers were characterized on an electrochemical cell configuration using square wave voltammetry (SWV). The sensor was investigated in an artificial saliva matrix optimizing the aptamer anchoring orientation, SWV interrogation frequency, and target incubation time. Rapid detection of the N protein was achieved within 5 min at a low nanomolar limit of detection (LOD) with high specificity. Specific N protein detection was also achieved in simulated positive saliva samples, demonstrating its feasibility for saliva-based rapid diagnosis. Further research will incorporate novel signal amplification strategies to improve sensitivity for early diagnosis.

Targeting Cytokines: Evaluating the Potential of Mesenchymal Stem Cell Derived Extracellular Vesicles in the Management of COVID-19

The Coronavirus Disease 2019 (COVID-19), caused by virus SARS-CoV-2, is characterized by massive inflammation and immune system imbalance. Despite the implementation of vaccination protocols, the accessibility of treatment remains uneven. Furthermore, the persistent threat of new variants underscores the urgent need for expanded research into therapeutic options for SARS-CoV-2. Mesenchymal stem cells (MSCs) are known for their immunomodulatory potential through the release of molecules into the extracellular space, either as soluble elements or carried by extracellular vesicles (EVs). The aim of this study was to evaluate the anti-inflammatory potential of EVs obtained from human adipose tissue (ASC-EVs) against SARS-CoV-2 infection. ASC-EVs were purified by size-exclusion chromatography, and co-culture assays confirmed that ASC-EVs were internalized by human lung cells and could colocalize with SARS-CoV-2 into early and late endosomes. To determine the functionality of ASC-EVs, lung cells were infected with SARS-CoV-2 in the presence of increasing concentrations of ASC-EVs, and the release of cytokines, chemokines and viruses were measured. While SARS-CoV-2 replication was significantly reduced only at the highest concentrations tested, multiplex analysis highlighted that lower concentrations of ASC-EV sufficed to prevent the production of immune modulators. Importantly, ASC-EVs did not contain detectable inflammatory cytokines, nor did they trigger inflammatory mediators, nor affect cellular viability. In conclusion, this work suggests that ASC-EVs have the potential to attenuate inflammation by decreasing the production of pro-inflammatory cytokines in lung cells following SARS-CoV-2 infection.

A qualitative study of knowledge, beliefs and misinformation regarding COVID-19 in selected districts in Zimbabwe

BACKGROUND

Lack of appropriate knowledge, incorrect beliefs and misinformation misleads people about the risks they face and how best to protect themselves. A study was conducted to explore the knowledge, beliefs and misinformation regarding COVID-19 in Zimbabwe.

METHODS

A qualitative study was conducted in September-October 2022 with a purposive sample of religious leaders, women leaders, youth leaders, health workers, village health workers, teachers, traditional healers, transporters, and the general population selected from ten sites across the country. In total there were 128 participants (30 key informants and 98 focus group discussion participants). At each site, 3 key informant interviews and one homogenous focus group discussion were conducted using semi-structured interviews and focus group discussion guides, respectively. The data were recorded on audiotapes, transcribed verbatim, and translated into English. Manual thematic analysis of the data was performed.

FINDINGS

Three themes were identified in this study: (1) beliefs about COVID-19, (2) knowledge about COVID-19 (knowledge of origin, definition, transmission, signs and symptoms and recommended preventive measures), and (3) misinformation about COVID-19 (regarding its nature, existence and recommended preventive measures). There was awareness of the origin, transmission, signs and symptoms of COVID-19 among the participants. Participants reported that Zimbabwean communities were conversant with public health measures such as maintaining social distancing, wearing masks, and maintaining hand hygiene. However, misinformation was also observed to have circulated among the communities.

CONCLUSION

Participants demonstrated good knowledge of COVID-19. However, the misinformation circulating in the country calls for the government to establish structures to monitor the legitimacy of information coming through different sources and invest in providing information through trusted sources. In any disease outbreak, the government should engage its citizenry to understand their knowledge, beliefs and any misinformation that might influence adherence to disease preventive measures.

Effect of wearing N95 masks for 10 hours on ambulatory blood pressure in healthy adults

The impact of wearing a face mask for an extended duration is unknown. This study aimed to determine if wearing a face mask for 10 h impacts blood pressure (BP) and arterial stiffness. Subjects received an ambulatory blood pressure cuff and were asked to wear it for 10 h while readings were taken every 15 min. During the face mask trial, subjects wore an N95 mask for 10 h. During the control, subjects did not wear a mask. Subjects were randomized to start their trial. An accelerometer was given to ensure no physical activity differences. Linear mixed models were used to determine group differences, and McNemar test was used to assess frequency differences when determining BP load. Twelve college-aged (20.5 ± 1.5 years) male (n = 5) and female (n = 7) individuals with normal BP participated in this study. There were no differences in time spent in any physical activity domain (all P > 0.05). There was no difference in brachial SBP (P = 0.688), brachial DBP (P = 0.063), central SBP (P = 0.875), central DBP (P = 0.246), heart rate (P = 0.125), and augmentation pressure (P = 0.158) between conditions. During mask condition, augmentation pressure was reduced by 5.2 ± 3.1% compared to control (P < 0.001). There were no frequency differences in the number of BP readings above 140 mmHg for SBP (P = 0.479) and >90 mmHg for DBP (P = 0.212). The current study found that wearing an N95 mask for 10 h did not affect brachial or central BP but significantly decreased augmentation pressure.

Exclusive Breastfeeding Rates Upon Hospital Discharge at a Tertiary Centre Prior to and During the COVID-19 Pandemic

This study aimed to describe exclusive breastfeeding (EBF) rates at discharge at Sunnybrook Health Sciences Centre and explore factors that contributed to changes in breastfeeding rates during the COVID-19 pandemic. Overall, 4762 patient charts were reviewed, 2000 from the pre-pandemic period, and 2762 from the lockdown period. Data was collected on EBF status at discharge, on maternal health history, and on infant characteristics. EBF rates fell from 75.8% to 73.85% from the pre-COVID-19 to COVID-19 period. During the pandemic, EBF was positively associated with BMI <30, spontaneous conception, and infants at risk of low blood sugar. Non-spontaneous conception was associated with lower EBF.

Experimental study on bioaerosols behavior and purification measures in a subway compartment

Bioaerosols in public transportation systems raise critical environmental concerns, seriously threatening passenger health and safety. In this study, we investigate the spread characteristics of bioaerosols in a standard type-B subway compartment using both air sampling and sediment sampling methods. Additionally, without compromising indoor passenger comfort, two self-designed air purification devices, based on intense field dielectric (IFD) and dielectric barrier discharge (DBD) technologies, respectively, are successfully applied for the improvement of the subway air quality. The results show that bioaerosols can propagate rapidly throughout the entire compartment in 5 min via airborne transmission. Under the effect of the symmetric air ducts and compartment structure, the difference in bioaerosol concentration in the air is less than 10% between both ends of the compartment. Concurrent substantial bioaerosol deposition on the ground, seats, and windows underscores the risk of contact transmission. Furthermore, the real-time purification rates of the two devices integrated into the air conditioning system reach 59.40% and 44.98%, respectively. With their demonstrated high efficiency in purifying bioaerosols and modular design featuring low energy consumption, easy cleaning, and reusability, these devices stand out as viable long-term solutions for large traffic vehicles. These research findings provide practical equipment recommendations and installation strategies for optimizing indoor air quality in subways and are applicable to other similar transportation systems.

Low visceral fat volume and hypoalbuminemia as prognostic markers in hospitalized patients with coronavirus disease 2019 during the omicron variant epidemic

BACKGROUND & AIMS

The rate of severe cases of coronavirus disease 2019 (COVID-19) has decreased since the Omicron variant became epidemic. Visceral fat volume was a risk factor for COVID-19 severity with prior prevalent variants, but whether visceral fat volume remains a risk factor for the Omicron variant is unclear. We investigated the associations of clinical factors including visceral fat volume with severity and mortality among hospitalized patients with COVID-19 during the Omicron variant epidemic.

METHODS

This was a single-center retrospective cohort study conducted at the Teikyo University Hospital in Japan. We included hospitalized patients with COVID-19 during the Omicron variant epidemic who underwent computed tomography of the abdomen. Clinical data were obtained from the medical records and visceral fat area (VFA) was measured using a 3-dimensional image analysis system volume analyzer. Severity was determined by the presence or absence of oxygen supplementation.

RESULTS

Among the 226 patients, 66 patients showed moderate severity and 29 patients were non-survivors. Hypoalbuminemia was associated with severity (odds ratio [OR] 3.93, 95 % confidence interval [CI] 1.91-8.07; p = 0.0002), and hypoalbuminemia (OR 8.38, 95%CI 2.37-29.58; p = 0.0010) and low VFA (OR 3.40, 95%CI 1.15-10.06; p = 0.027) were associated with mortality. Decision tree analysis showed that mortality rate in the hypoalbuminemia and low-VFA group (37.3 %) was significantly higher than in other groups (p ≤ 0.01).

CONCLUSIONS

Low visceral fat volume and hypoalbuminemia were associated with mortality in hospitalized patients with COVID-19 during the Omicron variant epidemic. Classification by VFA and serum albumin may allow simple prediction of mortality risk among hospitalized patients with COVID-19.

Diabetic Mice Spleen Vulnerability Contributes to Decreased Persistence of Antibody Production after SARS-CoV-2 Vaccine

During the COVID-19 pandemic, diabetic and obese patients experienced higher rates of hospital admissions, severe illness, and mortality. However, vaccinations failed to provide those vulnerable populations the same level of protection against COVID-19 severity as those without diabetic and obese phenotypes. Our study aimed to investigate how diabetes mellitus (DM) impacts the immune response following vaccination including the artificially designed trimeric SARS-CoV-2 spike (S)-protein. By using two diabetic mouse models, ob/ob mice (obese, hyperglycemic, and insulin-resistant) and STZ-treated mice (insulin-deficient and hyperglycemic), we observed a significant reduction in S-protein-specific IgG antibody titer post-vaccination in both diabetic models compared to wild-type (WT) mice. Both diabetic mouse models exhibited significant abnormalities in spleen tissue, including marked reductions in splenic weight and the size of the white pulp regions. Furthermore, the splenic T-cell and B-cell zones were notably diminished, suggesting an underlying immune dysfunction that could contribute to impaired antibody production. Notably, vaccination with the S-protein, when paired with an optimal adjuvant, did not exacerbate diabetic cardiomyopathy, blood glucose levels, or liver function, providing reassurance about the vaccine's safety. These findings offer valuable insights into potential mechanisms responsible for the decreased persistence of antibody production in diabetic patients.

IEV2Mol: Molecular Generative Model Considering Protein-Ligand Interaction Energy Vectors

Generating drug candidates with desired protein-ligand interactions is a significant challenge in structure-based drug design. In this study, a new generative model, IEV2Mol, is proposed that incorporates interaction energy vectors (IEVs) between proteins and ligands obtained from docking simulations, which quantitatively capture the strength of each interaction type, such as hydrogen bonds, electrostatic interactions, and van der Waals forces. By integrating this IEV into an end-to-end variational autoencoder (VAE) framework that learns the chemical space from SMILES and minimizes the reconstruction error of the SMILES, the model can more accurately generate compounds with the desired interactions. To evaluate the effectiveness of IEV2Mol, we performed benchmark comparisons with randomly selected compounds, unconstrained VAE models (JT-VAE), and compounds generated by RNN models based on interaction fingerprints (IFP-RNN). The results show that the compounds generated by IEV2Mol retain a significantly greater percentage of the binding mode of the query structure than those of the other methods. Furthermore, IEV2Mol was able to generate compounds with interactions similar to those of the input compounds, regardless of structural similarity. The source code and trained models for IEV2Mol, JT-VAE, and IFP-RNN designed for generating compounds active against the DRD2, AA2AR, and AKT1, as well as the data sets (DM-QP-1M, active compounds to each protein, and ChEMBL33) utilized in this study, are released under the MIT License and available at https://github.com/sekijima-lab/IEV2Mol.

Helmet Ventilation in a Child with COVID-19 and Acute Respiratory Distress Syndrome

Background

In pediatric patients with severe COVID-19, if the respiratory support provided using high-flow nasal cannula (HFNC) becomes insufficient, no definitive evidence exists to support the escalation to noninvasive ventilation (NIV) or mechanical ventilation (MV). Case Presentation. A 9-year-old boy being treated with face mask-delivered biphasic positive airway pressure ventilation developed fever, tachypnea, and frequent desaturation. The COVID-19 polymerase chain reaction test and urine antigen test for Streptococcus pneumoniae were both positive, and sputum culture yielded Pseudomonas aeruginosa. The do-not-resuscitate order precluded the use of endotracheal intubation. After 2 h of HFNC support, the respiratory rate oxygenation (ROX) index declined from 7.86 to 3.71, indicating impending HFNC failure. A helmet was used to deliver NIV, and SpO2 was maintained at >90%. Dyspnea and desaturation gradually improved, and the patient was switched to HFNC 6 days later and discharged 10 days later.

Conclusion

In some cases, acute respiratory distress syndrome severity cannot be measured using the oxygenation index or oxygenation saturation index, and the SpO2/FiO2 ratio and ROX index may serve as useful alternatives. Although NIV delivered through a facemask or HFNC is more popular than helmet-delivered NIV, in certain circumstances, it can help escalate respiratory support while providing adequate protection to healthcare professionals.

Evaluation of the Relationship between Early Clinical Manifestations and Changes in Biochemical, Inflammatory, and Coagulation Parameters and the Prognosis of Pregnant Women with COVID-19 Admitted to the ICU

Background

In the SARSCov2 virus epidemic, pregnant women are more susceptible to infectious diseases due to changes in biochemical parameters and are at higher risk of severe respiratory disease and pneumonia. This study aimed to evaluate the biochemical, inflammatory and coagulation parameters in pregnant women with severe disease conditions (as one of the high-risk groups) as well as prognosis and outcome.

Materials and Methods

This cross-sectional study was performed on 135 pregnant women with COVID-19 admitted to ICU. Demographic and clinical information and laboratory parameters of the patients were evaluated and recorded at the time of admission and in the next follow-up until discharge or death in addition to the outcome and also the pregnancy outcome.

Results

The mortality rate of pregnant women with COVID-19 was 9.6%. The mortality rate decreases with increasing Hb (OR (95% CI): 0.68 (0.47-0.99); P value = 0.043) and lymphocytes (OR (95% CI): 0.92 (0.85-0.96); P value = 0.028) and will increase significantly with increasing PT (OR (95% CI): 1.24 (1.01-1.51); P value = 0.037), INR (OR (95% CI): 1.89 (1.26-2.25); P value = 0.004), D-dimer (OR (95% CI): 1.68 (1.10-2.08); P value = 0.027), and LDH (OR (95% CI): 1.20 (1.01-1.61); P value = 0.010).

Conclusion

According to the results of the present study, inflammatory factors such as leukocytes, neutrophils, NLR, CRP have an increasing and lymphocytes have a decreasing trend, so that lymphocytopenia is more common in non-survivors. In addition, increase of PT, INR, D-dimer and LDH and decrease of Hb were significantly associated with increased chance of mortality. But fibrinogen, ferritin, ALT and AST were not significantly associated with mortality in these women.

A tale of two cities: London and New York City during Covid-19

Using publicly available data, this paper investigates the diffusion of COVID-19 across neighborhoods in two major cities, London and New York. We link neighborhood demographics to incidence, and we investigate patterns of change over time in conjunction with changing policy responses to the pandemic. By comparing and contrasting these two cities, we are able to exploit surveillance and policy differences, demonstrating how each contributes information to the other. We conclude that better coordination can be translated into improved health policy.

Changes in the epidemiology of pediatric brain abscesses pre- and post-COVID-19 pandemic: a single-center study

BACKGROUND

An increased incidence of brain abscesses was observed post-COVID-19 pandemic. However, it remains unclear how the COVID-19 pandemic influenced the epidemiology of brain abscesses. This study aimed to investigate changes in the epidemiology of brain abscesses pre- and post-COVID-19 pandemic.

METHODS

A retrospective study of demographic, clinical, radiological, and laboratory characteristics of patients with brain abscesses in Children's Hospital of Soochow University from 2015-2023 was performed.

RESULTS

A total of 34 patients were admitted to the hospital during the study. The post-COVID-19 cohort had an average of 5.5 cases/year, which is a 129.2% increase compared to the pre-COVID-19 cohort's average of 2.4 cases/year. Additionally, the rates of fever upon admission (86.36% vs 50%, p = 0.04) and experiencing high-grade fever within 6 weeks before admission (40.91% vs 8.33%, p = 0.044) were significantly increased. A potential rise in the rate of intensive care unit admission was observed (36.36% vs 8.33%, p = 0.113). The average value of globulin in the post-COVID cohort was significantly higher compared to the pre-COVID cohort (31.60 ± 5.97 vs 25.50 ± 5.08, p = 0.009). Streptococcal infections were the predominant cause of brain abscesses in both cohorts (40% vs 43.75%, p = 0.57).

CONCLUSIONS

There was a significant increase in the number of brain abscess patients after the COVID-19 pandemic. This underscores the importance of children receiving the streptococcal vaccine.

A colorimetric reverse-transcription loop-mediated isothermal amplification method targeting the L452R mutation to detect the Delta variant of SARS-CoV-2

The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has triggered global difficulties for both individuals and economies, with new variants continuing to emerge. The Delta variant of SARS-CoV-2 remains most prevalent worldwide, and it affects the efficacy of coronavirus disease 2019 (COVID-19) vaccination. Expedited testing to detect the Delta variant of SARS-CoV-2 and monitor viral transmission is necessary. This study aimed to develop and evaluate a colorimetric reverse-transcription loop-mediated isothermal amplification (RT-LAMP) technique targeting the L452R mutation in the S gene for the specific detection of the Delta variant. In the test, positivity was indicated as a color change from purple to yellow. The assay's 95% limit of detection was 57 copies per reaction for the L452R (U1355G)-specific standard plasmid. Using 126 clinical samples, our assay displayed 100% specificity, 97.06% sensitivity, and 98.41% accuracy in identifying the Delta variant of SARS-CoV-2 compared to real-time RT-PCR. To our knowledge, this is the first colorimetric RT-LAMP assay that can differentiate the Delta variant from its generic SARS-CoV-2, enabling it as an approach for studying COVID-19 demography and facilitating proper effective control measure establishment to fight against the reemerging variants of SARS-CoV-2 in the future.

Proteome and ubiquitinome analyses of the brain cortex in K18-hACE2 mice infected with SARS-CoV-2

Clinical research indicates that SARS-CoV-2 infection is linked to several neurological consequences, and the virus is still spreading despite the availability of vaccinations and antiviral medications. To determine how hosts respond to SARS-CoV-2 infection, we employed LC-MS/MS to perform ubiquitinome and proteome analyses of the brain cortexes from K18-hACE2 mice in the presence and absence of SARS-CoV-2 infection. A total of 8,024 quantifiable proteins and 5,220 quantifiable lysine ubiquitination (Kub) sites in 2023 proteins were found. Glutamatergic synapse, calcium signaling pathway, and long-term potentiation may all play roles in the neurological consequences of SARS-CoV-2 infection. Then, we observed possible interactions between 26 SARS-CoV-2 proteins/E3 ubiquitin-protein ligases/deubiquitinases and several differentially expressed mouse proteins or Kub sites. We present the first description of the brain cortex ubiquitinome in K18-hACE2 mice, laying the groundwork for further investigation into the pathogenic processes and treatment options for neurological dysfunction following SARS-CoV-2 infection.

Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not: A systematic review and meta-analysis

BACKGROUND

Coagulopathy and thromboembolic events are associated with poor outcomes in coronavirus disease 2019 (COVID-19) patients. There is conflicting evidence on the effects of chronic anticoagulation on mortality and severity of COVID-19 disease.

AIM

To summarize the body of evidence on the effects of pre-hospital anticoagulation on outcomes in COVID-19 patients.

METHODS

A Literature search was performed on LitCovid PubMed, WHO, and Scopus databases from inception (December 2019) till June 2023 for original studies reporting an association between prior use of anticoagulants and patient outcomes in adults with COVID-19. The primary outcome was the risk of thromboembolic events in COVID-19 patients taking anticoagulants. Secondary outcomes included COVID-19 disease severity, in terms of intensive care unit admission or invasive mechanical ventilation/intubation requirement in patients hospitalized with COVID-19 infection, and mortality. The random effects models were used to calculate crude and adjusted odds ratios (aORs) with 95% confidence intervals (95%CIs).

RESULTS

Forty-six observational studies met our inclusion criteria. The unadjusted analysis found no association between prior anticoagulation and thromboembolic event risk [n = 43851, 9 studies, odds ratio (OR)= 0.67 (0.22, 2.07); P = 0.49; I 2 = 95%]. The association between prior anticoagulation and disease severity was non-significant [n = 186782; 22 studies, OR = 1.08 (0.78, 1.49); P = 0.64; I 2 = 89%]. However, pre-hospital anticoagulation significantly increased all-cause mortality risk [n = 207292; 35 studies, OR = 1.72 (1.37, 2.17); P < 0.00001; I 2 = 93%]. Pooling adjusted estimates revealed a statistically non-significant association between pre-hospital anticoagulation and thromboembolic event risk [aOR = 0.87 (0.42, 1.80); P = 0.71], mortality [aOR = 0.94 (0.84, 1.05); P = 0.31], and disease severity [aOR = 0.96 (0.72, 1.26); P = 0.76].

CONCLUSION

Prehospital anticoagulation was not significantly associated with reduced risk of thromboembolic events, improved survival, and lower disease severity in COVID-19 patients.

Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology

Background

Coronavirus disease 2019 (COVID-19), an infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has caused a global pandemic. Gastric cancer (GC) poses a great threat to people's health, which is a high-risk factor for COVID-19. Previous studies have found some associations between GC and COVID-19, whereas the underlying molecular mechanisms are not well understood.

Methods

We employed bioinformatics and systems biology to explore these links between GC and COVID-19. Gene expression profiles of COVID-19 (GSE196822) and GC (GSE179252) were obtained from the Gene Expression Omnibus (GEO) database. After identifying the shared differentially expressed genes (DEGs) for GC and COVID-19, functional annotation, protein-protein interaction (PPI) network, hub genes, transcriptional regulatory networks and candidate drugs were analyzed.

Results

We identified 209 shared DEGs between COVID-19 and GC. Functional analyses highlighted immune-related pathways as key players in both diseases. Ten hub genes (CDK1, KIF20A, TPX2, UBE2C, HJURP, CENPA, PLK1, MKI67, IFI6, IFIT2) were identified. The transcription factor/gene and miRNA/gene interaction networks identified 38 transcription factors (TFs) and 234 miRNAs. More importantly, we identified ten potential therapeutic agents, including ciclopirox, resveratrol, etoposide, methotrexate, trifluridine, enterolactone, troglitazone, calcitriol, dasatinib and deferoxamine, some of which have been reported to improve and treat GC and COVID-19.

Conclusion

This research offer valuable insights into the molecular interplay between COVID-19 and GC, potentially guiding future therapeutic strategies.

COVID-19 breakthrough infections in vaccinated individuals at BPKIHS, Nepal

BACKGROUND

Although there have been reports of COVID-19 breakthrough infections in vaccinated individuals, the vaccines have demonstrated a high efficacy in preventing severe illness and death. Nepal has reported fewer studies of COVID-19 breakthrough infections. Hence, this study has objective to assess the prevalence, and to describe clinical characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) breakthrough infection.

METHODS

This descriptive study was conducted from January to December 2022. The study enrolled 200 individuals who had received the recommended doses of the COVID-19 vaccine and they were RT-PCR positive diagnosed with vaccine breakthrough infections after 14 days of completing the vaccination course. The patient's demographic and clinical profiles, as well as their outcomes in terms of severity, length of hospital stay, and mortality were recorded.

RESULTS

The prevalence of SARS-CoV2 infection was 6.3% (547/8682). Among fully vaccinated personnel, the prevalence of breakthrough infections was 6.2% (200/3175). This study found the Omicron variants in respondents. The mean age of the patients was 38.28 years, and 41.5% (83/200) of the breakthrough cases were healthcare workers. The mean time gap between the second dose of vaccination and a positive RT-PCR test was 354.68 days. Of the 200 breakthrough cases, 89% (178) had mild symptoms, 9% (17) had moderate symptoms requiring hospitalization, and 2% (4) were severe cases that required intensive care facility. Among the severe cases, 3 out 4 were above 60 years old. Furthermore, the patients greater than 60 years had longer hospital stays (p < 0.0001) however no deaths were recorded.

CONCLUSION

Fully vaccinated individuals can experience COVID-19 breakthrough infections and the majority of cases present with mild symptoms. Elderly patients have a higher likelihood of severe disease and longer hospital stay compared to younger patients. The results of this study emphasize the importance of vaccination in mitigating the severity of the disease.

Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model

BACKGROUND

It is difficult to detect the outbreak of emergency infectious disease based on the exiting surveillance system. Here we investigate the utility of the Baidu Search Index, an indicator of how large of a keyword is in Baidu's search volume, in the early warning and predicting the epidemic trend of COVID-19.

METHODS

The daily number of cases and the Baidu Search Index of 8 keywords (weighted by population) from December 1, 2019 to March 15, 2020 were collected and analyzed with times series and Spearman correlation with different time lag. To predict the daily number of COVID-19 cases using the Baidu Search Index, Zero-inflated negative binomial regression was used in phase 1 and negative binomial regression model was used in phase 2 and phase 3 based on the characteristic of independent variable.

RESULTS

The Baidu Search Index of all keywords in Wuhan was significantly higher than Hubei (excluded Wuhan) and China (excluded Hubei). Before the causative pathogen was identified, the search volume of "Influenza" and "Pneumonia" in Wuhan increased with the number of new onset cases, their correlation coefficient was 0.69 and 0.59, respectively. After the pathogen was public but before COVID-19 was classified as a notifiable disease, the search volume of "SARS", "Pneumonia", "Coronavirus" in all study areas increased with the number of new onset cases with the correlation coefficient was 0.69 ~ 0.89, while "Influenza" changed to negative correlated (rs: -0.56 ~ -0.64). After COVID-19 was closely monitored, the Baidu Search Index of "COVID-19", "Pneumonia", "Coronavirus", "SARS" and "Mask" could predict the epidemic trend with 15 days, 5 days and 6 days lead time, respectively in Wuhan, Hubei (excluded Wuhan) and China (excluded Hubei). The predicted number of cases would increase 1.84 and 4.81 folds, respectively than the actual number of cases in Wuhan and Hubei (excluded Wuhan) from 21 January to 9 February.

CONCLUSION

The Baidu Search Index could be used in the early warning and predicting the epidemic trend of COVID-19, but the search keywords changed in different period. Considering the time lag from onset to diagnosis, especially in the areas with medical resources shortage, internet search data can be a highly effective supplement of the existing surveillance system.

Low-frequency CD8+ T cells induced by SIGN-R1+ macrophage-targeted vaccine confer SARS-CoV-2 clearance in mice

Vaccine-induced T cells and neutralizing antibodies are essential for protection against SARS-CoV-2. Previously, we demonstrated that an antigen delivery system, pullulan nanogel (PNG), delivers vaccine antigen to lymph node medullary macrophages and thereby enhances the induction of specific CD8+ T cells. In this study, we revealed that medullary macrophage-selective delivery by PNG depends on its binding to a C-type lectin SIGN-R1. In a K18-hACE2 mouse model of SARS-CoV-2 infection, vaccination with a PNG-encapsulated receptor-binding domain of spike protein decreased the viral load and prolonged the survival in the CD8+ T cell- and B cell-dependent manners. T cell receptor repertoire analysis revealed that although the vaccine induced T cells at various frequencies, low-frequency specific T cells mainly promoted virus clearance. Thus, the induction of specific CD8+ T cells that respond quickly to viral infection, even at low frequencies, is important for vaccine efficacy and can be achieved by SIGN-R1+ medullary macrophage-targeted antigen delivery.

Levees for a hundred-year flood: impact of a syndrome-based antimicrobial stewardship intervention for coronavirus disease 2019 on antimicrobial use and resistance

Coronavirus disease 2019 can be indistinguishable from lower respiratory tract infections (LRTIs) caused by other viral and bacterial agents. This likely contributed to antimicrobial use (AU) and antimicrobial resistance (AMR) during the pandemic. Our antimicrobial stewardship program targeted the selection and duration of therapy for LRTIs and led to a reduction in AU and AMR.

Positive vaccine beliefs linked to reduced mental stress in healthcare professionals during COVID-19: a retrospective study

Background and aim

The COVID-19 pandemic has led to a significant adverse effect on the mental health of healthcare professionals. This study aims to assess the effects of the prolonged pandemic on burnout and mood disorders and to evaluate the influence of positive vaccination beliefs on these factors at a medical center during the extended COVID-19 pandemic.

Methods

This retrospective study analyzed the results of an online questionnaire survey including burnout status and mood disorders from 2020 to 2022. The factors related to mood moderate/severe disorders and the impact of the positive vaccine belief were also explored.

Results

The initial analysis revealed that healthcare professionals continued to experience significant levels of personal and work-related burnout, along with mood disorders. However, the scores and the percentage of moderate to severe burnout gradually decreased. Notably, the percentage of individuals with moderate to severe mood disorders also gradually declined (2020: 13.4%, 2021: 12.3%, 2022: 11.1%). The number of participants who need professional interventions decreased from 56.2% in 2020 to 45.9% in 2021, and 46% in 2022. Multivariate analysis revealed a positive vaccine belief was associated with a lower risk of moderate/severe mood disorders, with odd ratios (OR) and 95% confidence intervals (95% CI) of 0.38 (0.28 - 0.52) and 0.41 (0.30 - 0.52) in the 2021 and 2022 cohorts, respectively. Further investigation revealed that age over 50 was linked to a positive vaccine belief in 2021 and 2022. Within the 2022 cohort, working as nurses was identified as the independent factor associated with a less positive belief, with the OR and 95% CI of 0.49 (0.27 - 0.90).

Conclusion

The findings of the present study suggest burnout and mood disorders are still significant during the pandemic. A positive vaccine belief may mitigate pandemic-related mental distress. Further interventions to enhance the belief combined with other supporting measures are important in a long fight against the pandemic.

Exploring Prehospital Data for Pandemic Preparedness: A Western Brazilian Amazon Case Study on COVID-19

BACKGROUND

The timely management of rapidly evolving epidemiological scenarios caused by disease outbreaks is crucial to prevent devastating consequences. However, delayed laboratory diagnostics can hamper swift health policy and epidemic response, especially in remote regions such as the western Brazilian Amazon. The aim of the article is to analyze the impact of the COVID-19 pandemic on the volume and characteristics of emergency medical services (EMS) in Manaus, focusing on how the pandemic affected sensitive indicators such as response time and the use of advanced life support ambulances. Additionally, the study seeks to understand how changes in prehospital EMS patterns, triggered by the pandemic, could be utilized as health surveillance tools, enabling a more rapid response in epidemic scenarios.

METHODS

This retrospective, descriptive study included data from the SAMU (Serviço de Atendimento Móvel de Urgência) medical records between January and June 2020.

RESULTS

A total of 45,581 calls resulted in mobile units being dispatched during this period. These patients were predominantly male (28,227, 61.9%), with a median age of 47 years (IQR 30-67). The median response time significantly increased during the pandemic, reaching a median of 45.9 min (IQR 30.6-67.7) (p < 0.001). EMS calls were reduced for trauma patients and increased for other medical emergencies, especially respiratory conditions, concomitantly to an escalation in the number of deaths caused by SARS and COVID-19 (p < 0.001). The employment of advanced life support ambulances was higher during the pandemic phase (p = 0.0007).

CONCLUSION

The COVID-19 pandemic resulted in a temporary disorder in the volume and reason for EMS calls in Manaus. Consequently, sensitive indicators like the response time and the employment of advanced life support ambulances were negatively affected. Sudden prehospital EMS pattern changes could play an important role in health surveillance systems, allowing for earlier establishment of countermeasures in epidemics. The impact of the COVID-19 pandemic on prehospital EMS and its role in health surveillance should be further explored.

Multiplex Microscopy Assay for Assessment of Therapeutic and Serum Antibodies against Emerging Pathogens

The emergence of novel pathogens, exemplified recently by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), highlights the need for rapidly deployable and adaptable diagnostic assays to assess their impact on human health and guide public health responses in future pandemics. In this study, we developed an automated multiplex microscopy assay coupled with machine learning-based analysis for antibody detection. To achieve multiplexing and simultaneous detection of multiple viral antigens, we devised a barcoding strategy utilizing a panel of HeLa-based cell lines. Each cell line expressed a distinct viral antigen, along with a fluorescent protein exhibiting a unique subcellular localization pattern for cell classification. Our robust, cell segmentation and classification algorithm, combined with automated image acquisition, ensured compatibility with a high-throughput approach. As a proof of concept, we successfully applied this approach for quantitation of immunoreactivity against different variants of SARS-CoV-2 spike and nucleocapsid proteins in sera of patients or vaccinees, as well as for the study of selective reactivity of monoclonal antibodies. Importantly, our system can be rapidly adapted to accommodate other SARS-CoV-2 variants as well as any antigen of a newly emerging pathogen, thereby representing an important resource in the context of pandemic preparedness.