Epidemic Virus Research Articles

Plant-Derived Epi-Nutraceuticals as Potential Broad-Spectrum Anti-Viral Agents.

Although the COVID-19 pandemic appears to be diminishing, the emergence of SARS-CoV-2 variants represents a threat to humans due to their inherent transmissibility, immunological evasion, virulence, and invulnerability to existing therapies. The COVID-19 pandemic affected more than 500 million people and caused over 6 million deaths. Vaccines are essential, but in circumstances in which vaccination is not accessible or in individuals with compromised immune systems, drugs can provide additional protection. Targeting host signaling pathways is recommended due to their genomic stability and resistance barriers. Moreover, targeting host factors allows us to develop compounds that are effective against different viral variants as well as against newly emerging virus strains. In recent years, the globe has experienced climate change, which may contribute to the emergence and spread of infectious diseases through a variety of factors. Warmer temperatures and changing precipitation patterns can increase the geographic range of disease-carrying vectors, increasing the risk of diseases spreading to new areas. Climate change may also affect vector behavior, leading to a longer breeding season and more breeding sites for disease vectors. Climate change may also disrupt ecosystems, bringing humans closer to wildlife that transmits zoonotic diseases. All the above factors may accelerate the emergence of new viral epidemics. Plant-derived products, which have been used in traditional medicine for treating pathological conditions, offer structurally novel therapeutic compounds, including those with anti-viral activity. In addition, plant-derived bioactive substances might serve as the ideal basis for developing sustainable/efficient/cost-effective anti-viral alternatives. Interest in herbal antiviral products has increased. More than 50% of approved drugs originate from herbal sources. Plant-derived compounds offer diverse structures and bioactive molecules that are candidates for new drug development. Combining these therapies with conventional drugs could improve patient outcomes. Epigenetics modifications in the genome can affect gene expression without altering DNA sequences. Host cells can use epigenetic gene regulation as a mechanism to silence incoming viral DNA molecules, while viruses recruit cellular epitranscriptomic (covalent modifications of RNAs) modifiers to increase the translational efficiency and transcript stability of viral transcripts to enhance viral gene expression and replication. Moreover, viruses manipulate host cells' epigenetic machinery to ensure productive viral infections. Environmental factors, such as natural products, may influence epigenetic modifications. In this review, we explore the potential of plant-derived substances as epigenetic modifiers for broad-spectrum anti-viral activity, reviewing their modulation processes and anti-viral effects on DNA and RNA viruses, as well as addressing future research objectives in this rapidly emerging field.

Hypovirulence-associated mycovirus epidemics cause pathogenicity degeneration of Beauveria bassiana in the field

BackgroundThe entomogenous fungus Beauveria bassiana is used as a biological insecticide worldwide, wild B. bassiana strains with high pathogenicity in the field play an important role in controlling insect pests via not only screening of highly virulent strains but also natural infection, but the pathogenicity degeneration of wild strains severely affected aforementioned effects. Previous studies have showed that multiple factors contributed to this phenomenon. It has been extensively proved that the mycovirus infection caused hypovirulence of phytopathogenic fungi, which has been used for plant disease biocontrol. However, it remains unknown whether the mycovirus epidemics is a key factor causing hypovirulence of B. bassiana naturally in the field.MethodsWild strains of B. bassiana were collected from different geographic locations in Jilin Province, China, to clarify the epidemic and diversity of the mycoviruses. A mycovirus Beauveria bassiana chrysovirus 2 (BbCV2) we have previously identified was employed to clarify its impact on the pathogenicity of host fungi B. bassiana against the larvae of insect pest Ostrinia furnacalis. The serological analysis was conducted by preparing polyclonal antibody against a BbCV2 coat protein, to determine whether it can dissociate outside the host fungal cells and subsequently infect new hosts. Transcriptome analysis was used to reveal the interactions between viruses and hosts.ResultsWe surprisingly found that the mycovirus BbCV2 was prevalent in the field as a core virus in wild B. bassiana strains, without obvious genetic differentiation, this virus possessed efficient and stable horizontal and vertical transmission capabilities. The serological results showed that the virus could not only replicate within but also dissociate outside the host cells, and the purified virions could infect B. bassiana by co-incubation. The virus infection causes B. bassiana hypovirulence. Transcriptome analysis revealed decreased expression of genes related to insect epidermis penetration, hypha growth and toxin metabolism in B. bassiana caused by mycovirus infection.ConclusionBeauveria bassiana infected by hypovirulence-associated mycovirus can spread the virus to new host strains after infecting insects, and cause the virus epidemics in the field. The findings confirmed that mycovirus infection may be an important factor affecting the pathogenicity degradation of B. bassiana in the field.

From viral democratic genomes to viral wild bunch of quasispecies.

The tremendous majority of RNA genomes from pathogenic viruses analyzed and deposited in databases are consensus or "democratic" genomes. They represent the genomes most frequently found in the clinical samples of patients but do not account for the huge genetic diversity of coexisting genomes, which is better described as quasispecies. A viral quasispecies is defined as the dynamic distribution of nonidentical but closely related mutants, variants, recombinant,or reassortant viral genomes. Viral quasispecies have collective behavior and dynamics and are the subject of internal interactions that comprise interference, complementation, or cooperation. In the setting of SARS-CoV-2 infection, intrahost SARS-CoV-2 genetic diversity was recently notably reported for immunocompromised, chronically infected patients, for patients treated with monoclonal antibodies targeting the viral spike protein, and for different body compartments of a single patient. A question that deserves attention is whether such diversity is generated postinfection from a clonal genome in response to selection pressure or is already present at the time of infection as a quasispecies. In the present review, we summarize the data supporting that hosts are infected by a "wild bunch" of viruses rather than by multiple virions sharing the same genome. Each virion in the "wild bunch" may have different virulence and tissue tropisms. As the number of viruses replicated during host infections is huge, a viral quasispecies at any time of infection is wide and is also influenced by host-specific selection pressure after infection, which accounts for the difficulty in deciphering and predicting the appearance of more fit variants and the evolution of epidemics of novel RNA viruses.

Respiratory disorders and their association with clinical outcomes in COVID-19: a narrative review of current literature.

The coronavirus disease 2019, also known as COVID-19, has caused significant worldwide morbidity and mortality. Given the direct effect of severe acute respiratory syndrome virus-2 (SARS-CoV-2) on the respiratory system, it is important that clinicians who manage chronic respiratory conditions are familiar with the pathophysiology and impact of COVID-19 on pre-existing respiratory disease. Literature review relating to COVID-19 and respiratory disorders from PubMed and Google Scholar was conducted, with aim to encompass all publications relating to the most commonly encountered respiratory diseases in clinical practice, namely chronic obstructive lung disease (COPD), asthma, interstitial lung disease (ILD), obstructive sleep apnea (OSA), as well as obesity given it's known effect on both gas exchange and mechanistic aspects of respiration. The publications were analyzed for relevance to clinical implications and pathophysiologic mechanisms. Additional manual literature review was conducted based on citations from large review articles and society guidelines/statement papers. Certain respiratory disorders such as COPD, ILD, OSA, and obesity carry higher burden of morbidity and mortality associated with COVID-19. Surprisingly, and in contrast to previously studied viral epidemics, asthma does not carry increased associated risk of contracting the virus or worse clinical outcomes. A thorough understanding of the mechanisms responsible for control of breathing and the effect of COVID-19 on pulmonary pathophysiology will allow clinicians who manage chronic respiratory disease to effectively predict associated clinical outcomes as well as improve management strategies.

Identifying the Bridge Between Anxiety Response to COVID-19 and Depression Symptoms in General Population: A Network Analysis.

Previous studies have suggested links between anxiety response to the novel coronavirus (COVID-19) and depression symptoms in general population. However, a symptom-level investigation has not been reported. This study aimed to use network analysis to identify central symptoms and bridge symptoms that link COVID-19 anxiety and depression. Data from 1788 participants were analyzed. Coronavirus anxiety and depression symptoms were measured using the Stress and Anxiety to Viral Epidemics-6 Items Scale and the Patient Health Questionnaire-9, respectively. Network analysis was performed using R. The results revealed 'thoughts of suicide or self-harm' from Patient Health Questionnaire-9 and 'worry about others avoiding me' from Stress and Anxiety to Viral Epidemics-6 Items Scale as bridge symptoms. Findings suggest direct relationship between fear of social isolation and thoughts of suicide or self-harm. 'Feeling tired with little energy' and 'trouble concentrating' are strongly linked to 'thoughts of suicide or self-harm', suggesting these symptoms as risk factors for suicidal or self-injurious thoughts during the pandemic. The findings suggest fear of social isolation as a risk factor for developing thoughts of suicide or self-harm. These results should be taken into account during evaluation of risk of suicide or mental health interventions for the pandemic.

Mitigation of respiratory syncytial virus epidemics by RSVpreF vaccines after the COVID-19 pandemic in the UK: a modelling study.

The RSVpreF vaccines have breakthrough progress. The respiratory syncytial virus (RSV) vaccine for older adults from GlaxoSmithKline was the first RSV vaccine approved by the US Food and Drug Administration (FDA) in early May 2023, followed by the subsequent FDA approval of Pfizer's RSV vaccines for older adults and pregnant women. We aimed to estimate the public health impact of the potential population-level administrations of the RSVpreF vaccine in the UK. In this modelling study, we used national census and contact survey data to construct an individual-based mathematical model, with interpersonal connections characterising household structure, social settings, and age-specific contact patterns. We considered both within-host viral-load dynamics and between-host RSV transmission. We modelled the coverages of RSV vaccines for older people (age ≥60 years) and pregnant women, using influenza vaccination data from the 2018-19 season. We explored a range of possible transmissibility and estimated the health burden averted by RSVpreF vaccine over a 300-day period as compared with the control scenario without vaccines. In a low-transmission scenario (Re=1·2), RSVpreF would avert a total population of 2·35 (95% credible interval [CrI] 1·24-3·77) million infections, 12.80 (95% CrI 8·60-17·06) thousand hospital admissions, and 0·93 (95% CrI 0·69-1·25) thousand deaths, with 1·82 (1·41-2·33) million infections, 12·44 (8·50-16·38) thousand hospital admissions, and 0·93 (0·67-1·23) thousand deaths averted for people aged 60 years and older. In a high-transmission scenario (Re=2·0), RSVpreF would avert 2·01 (1·37-2·68) million infections, 14·67 (10·05-18·33) thousand hospital admissions, and 1·12 (0·80-1·35) thousand deaths. The majority averted would still be among older adults. Our mathematical models will help improve the vaccine schedules of RSVpreF. Future work will address several limitations when data become available, including the incorporation of population immunity, potential vaccine hesitancy, and other factors affecting vaccine uptake and effectiveness. Government of the Hong Kong Special Administrative Region, the European Research Council, and Ministry of Science and Technology of the People's Republic of China.

Development of a daily predictive model for the exacerbation of chronic obstructive pulmonary disease

Acute exacerbation (AE) of chronic obstructive pulmonary disease (COPD) compromises health status; it increases disease progression and the risk of future exacerbations. We aimed to develop a model to predict COPD exacerbation. We merged the Korean COPD subgroup study (KOCOSS) dataset with nationwide medical claims data, information regarding weather, air pollution, and epidemic respiratory virus data. The Korean National Health and Nutrition Examination Survey (KNHANES) dataset was used for validation. Several machine learning methods were employed to increase the predictive power. The development dataset consisted of 590 COPD patients enrolled in the KOCOSS cohort; these were randomly divided into training and internal validation subsets on the basis of the individual claims data. We selected demographic and spirometry data, medications for COPD and hospital visit for AE, air pollution data and meteorological data, and influenza virus data as contributing factors for the final model. Six machine learning and logistic regression tools were used to evaluate the performance of the model. A light gradient boosted machine (LGBM) afforded the best predictive power with an area under the curve (AUC) of 0.935 and an F1 score of 0.653. Similar favorable predictive performance was observed for the 2151 individuals in the external validation dataset. Daily prediction of the COPD exacerbation risk may help patients to rapidly assess their risk of exacerbation and will guide them to take appropriate intervention in advance. This might lead to reduction of the personal and socioeconomic burdens associated with exacerbation.

Optimal control applied to Zika virus epidemics in Colombia and Puerto Rico

Zika virus (ZIKV) is a mostly non-lethal disease in humans transmitted by mosquitoes or humans that can produce severe brain defects such as microcephaly in babies and Guillain-Barré syndrome in elderly adults. The use of optimal control strategies involving information campaigns about insect repellents and condoms alongside an available safe and effective vaccine can prevent the number of infected humans with ZIKV. A system of nonlinear ordinary differential equations is formulated for the transmission dynamics of ZIKV in the presence of three control strategies to evaluate the impact of various scenarios during a ZIKV epidemic. In addition, we estimate parameters using weekly incidence data from previous ZIKV outbreaks in Colombia and Puerto Rico to capture the dynamics of an epidemic in each country when control measures are available. The basic reproduction number, R0, of each country is calculated using estimated parameters (without the controls). The vector-borne transmission threshold (Rv) is dominant in both countries, but the sexual transmission threshold (Rd) in Colombia is considerably higher than in Puerto Rico. Numerical simulations for Colombia show that the most effective strategies are to use three controls since the start of the outbreak. However, for Puerto Rico only information campaigns about mosquito repellents and vaccination are the most effective ways to mitigate the epidemic.

Pandemic resilience planning: NPI measures and Covid-19 impacts in UK, Germany, and Italy

In the absence of vaccines and antiviral medication or until a worldwide vaccine is distributed, non-pharmaceutical interventions (NPIs), else known by precautionary measures, implemented in response to emerging epidemic respiratory viruses are the only option available to delay and moderate the spread of the virus in a population. Almost all NPI measures relate to mega urban policies in dealing with the movement and gathering of population in urban areas and public establishments. These precautionary measures are known to vary in scale of application, as some may be performed on the national scale while others are only practiced in certain regions or cities. Therefore, this study is an attempt to assess the effectiveness of such measures according to their level of practice, duration, and stringency score (degree of application), in curbing the aggressive spread of covid-19, and thus formulate possible urban policies for the future planning of pandemic resilient cities. Since Europe is known to be one of the hardly hit regions, this research targeted three of its worst infested countries, Germany, Italy, and the UK. This study is structured to address the three main pandemic waves from the first announcement of the pandemic attack in January 2020 to March 2021. This method is followed to identify the most effective measures to counter a pandemic attack and determine their optimal scale of implementation. Findings suggest that less strict measures and smaller implementation scales were more effective in stemming the spread of COVID-19 compared to other measures that were economically and socially burdensome. Timing also played a crucial role, as implementing stricter measures early on in a pandemic proved beneficial in reducing its overall impact. Therefore, it is advisable to prioritize stringent interventions in the initial phases of a pandemic and then transition to less strict and localized measures to support the resilience of urban societies in the face of future outbreaks. In alignment with these recommendations, this research significantly advances the fields of pandemic preparedness and urban policies. By revealing the dynamic nature of disease control strategies and the need for adaptability, it provides a robust theoretical foundation for crafting more effective public health and urban policies during future outbreaks.

Virus-like particle vaccines with epitopes from porcine epidemic virus and transmissible gastroenteritis virus incorporated into self-assembling ADDomer platform provide clinical immune responses in piglets.

Porcine epidemic diarrhea virus (PEDV) and transmissible gastroenteritis virus (TGEV) are major intestinal coronaviruses that cause vomiting, diarrhea, dehydration, and mortality in piglets. These viruses coexist and lead to significant economic losses in the swine industry. Virus-like particles (VLPs) have emerged as promising alternatives to conventional inactivated vaccines due to their exceptional safety, efficacy, and ability to provide multi-disease protection with a single dose. Our study focused on specific antigenic epitopes from the PEDV S protein (SS2 and 2C10 regions) and the TGEV S protein (A and D sites) as target candidates. These epitopes were integrated into the ADDomer framework, and we successfully generated recombinant proteins AD, AD-P, AD-T, and AD-PT using the baculovirus expression vector system (BEVS). By meticulously optimizing conditions in High Five cells, we successfully expressed and purified the recombinant proteins. Subsequently, we developed the recombinant ADDomer-VLP vaccine and conducted a comprehensive evaluation of its efficacy in piglets. Following ultrafiltration concentration and sucrose gradient centrifugation purification, the recombinant proteins self-assembled into VLPs as observed by transmission electron microscopy (TEM). Administration of the vaccine did not result in any adverse reactions in the immunized piglets. Additionally, no significant instances of fever were detected in any of the experimental groups, and there were no notable changes in average daily weight gain compared to the control group that received PBS. The recombinant ADDomer-VLP vaccines demonstrated strong immunogenicity, effectively stimulating the production of neutralizing antibodies against both PEDV and TGEV. Moreover, the recombinant ADDomer-VLP vaccine induced elevated levels of IFN-γ, IL-2, and IL-4, and enhanced cytotoxic T lymphocyte (CTL) activity in the peripheral blood of piglets. These recombinant VLPs have demonstrated the ability to induce strong cellular and humoral immune responses in piglets, making them an incredibly promising platform for the rapid and simplified development of epitope vaccines.

In vitro neuraminidase inhibitory concentrations (IC50) of four neuraminidase inhibitors in the Japanese 2022–23 season: Comparison with the 2010–11 to 2019–20 seasons

To assess the extent of susceptibility to the four neuraminidase inhibitors (NAIs) approved in Japan of the epidemic viruses in the 2022–23 influenza season in Japan, we measured the 50 % inhibitory concentration (IC50) of oseltamivir, zanamivir, peramivir, and laninamivir in influenza virus isolates from patients.Viral isolation was done with specimens obtained prior to and after treatment, and the type/subtype was determined by RT-PCR using type- and subtype-specific primers. The IC50 was determined by a neuraminidase inhibition assay using a fluorescent substrate. Virus isolates, one A(H1N1)pdm09 and 74 A(H3N2), were measured in the 2022–23 season.The geometric mean IC50s of the 74 A(H3N2) isolated prior to treatment were 0.78 nM, 0.66 nM, 2.08 nM, and 2.85 nM for oseltamivir, peramivir, zanamivir, and laninamivir, respectively, comparable to those of the previous ten studied seasons. No A(H3N2) with highly reduced sensitivity to any of the NAIs was found in the 2022-23 season prior to or after drug administration.These results indicate that the sensitivity to these four commonly used NAIs has been maintained, at least for A(H3N2), in the 2022–23 influenza season in Japan, after the 2020–21 and 2021–22 seasons when the prevalence of influenza was extremely low.

Data-driven systematic analysis of waterborne viruses and health risks during the wastewater reclamation process

Waterborne viral epidemics are a major threat to public health. Increasing interest in wastewater reclamation highlights the importance of understanding the health risks associated with potential microbial hazards, particularly for reused water in direct contact with humans. This study focused on identifying viral epidemic patterns in municipal wastewater reused for recreational applications based on long-term, spatially explicit global literature data during 2000–2021, and modelled human health risks from multiple exposure pathways using a well-established quantitative microbial risk assessment methodology. Global median viral loads in municipal wastewater ranged from 7.92 × 104 to 1.4 × 106 GC L−1 in the following ascending order: human adenovirus (HAdV), norovirus (NoV) GII, enterovirus (EV), NoV GI, rotavirus (RV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Following secondary or tertiary wastewater treatment, NoV GI, NoV GII, EV, and RV showed a relatively higher and more stable log reduction value with medians all above 0.8 (84%), whereas SARS-CoV-2 and HAdV showed a relatively lower reduction, with medians ranging from 0.33 (53%) to 0.55 (72%). A subsequent disinfection process effectively enhanced viral removal to over 0.89-log (87%). The predicted event probability of virus-related gastrointestinal illness and acute febrile respiratory illnesses in reclaimed recreational water exceeded the World Health Organization recommended recreational risk benchmark (5% and 1.9%, respectively). Overall, our results provided insights on health risks associated with reusing wastewater for recreational purposes and highlighted the need for establishing a regulatory framework ensuring the safety management of reclaimed waters.

Advanced Mobile Communication Techniques in the Fight against the COVID-19 Pandemic Era and Beyond: An Overview of 5G/B5G/6G.

The coronavirus disease 2019 (COVID-19) pandemic has severely affected people's lives worldwide in an unexpected manner. According to the World Health Organization (WHO), several viral epidemics continue to occur and pose a significant public health problem. Until May 2023, there have been 676 million cases of COVID-19 infections and over 6.8 million deaths, globally. This paper surveys the role and effectiveness of advanced fifth-generation (5G)/beyond 5G (B5G)/sixth-generation (6G) technologies, combined with mobile applications (apps) and the Internet of Medical Things (IoMT), in detecting, managing, and mitigating the spread of COVID-19 and designing smart healthcare infrastructures for future pandemics. Analyzing and summarizing the research of relevant scholars based on the impact of 5G/B5G/6G and other technologies on COVID-19. The study tabulates the technical characteristics and effectiveness of different technologies in the context of COVID-19, summarizing the research of previous scholars. Challenges and design issues in the implementation of advanced information and telecommunication systems were demonstrated. These technologies can inspire the design of smart healthcare infrastructures to combat future virus pandemics.

Designing a novel multi-epitopes pan-vaccine against SARS-CoV-2 and seasonal influenza: in silico and immunoinformatics approach

The merger of COVID-19 and seasonal influenza infections is considered a potentially serious threat to public health. These two viral agents can cause extensive and severe lower and upper respiratory tract infections with lung damage with host factors. Today, the development of vaccination has been shown to reduce the risk of hospitalization and mortality from the COVID-19 virus and influenza epidemics. Therefore, this study contributes to an immunoinformatics approach to producing a vaccine that can elicit strong and specific immune responses against COVID-19 and influenza A and B viruses. The NCBI, GISAID, and Uniprot databases were used to retrieve sequences. Linear B cell, Cytotoxic T lymphocyte, and Helper T lymphocyte epitopes were predicted using the online servers. Population coverage of MHC I epitopes worldwide for SARS-CoV-2, Influenza virus H3N2, H3N2, and Yamagata/Victoria were 99.93%, 68.67%, 68.38%, and 85.45%, respectively. Candidate epitopes were linked by GGGGS, GPGPG, and KK linkers. Different epitopes were permutated several times to form different peptides and then screened for antigenicity, allergenicity, and toxicity. The vaccine construct was analyzed for physicochemical properties, conformational B-cell epitopes, interaction with Toll-like receptors, and IFN-gamma-induced. Immune stimulation response of final construct was evaluated using C-IMMSIM. Eventually, the final construct sequence was codon-optimized for Escherichia coli K12 and Homo sapiens to design a multi-epitope vaccine and mRNA vaccine. In conclusion, due to the variable nature of SARS-CoV-2 and influenza proteins, the design of a multi-epitope vaccine can protect against all their standard variants, but laboratory validation is required. Communicated by Ramaswamy H. Sarma

One for all-human kidney Caki-1 cells are highly susceptible to infection with corona- and other respiratory viruses.

In vitro investigations of host-virus interactions are reliant on suitable cell and tissue culture models. Results are only as good as the model they are generated in. However, choosing cell models for in vitro work often depends on availability and previous use alone. Despite the vast increase in coronavirus research over the past few years, scientists are still heavily reliant on: non-human, highly heterogeneous or not fully differentiated, or naturally unsusceptible cells requiring overexpression of receptors and other accessory factors. Complex primary or stem cell models are highly representative of human tissues but are expensive and time-consuming to develop and maintain with limited suitability for high-throughput experiments.Using tissue-specific expression patterns, we identified human kidney cells as an ideal target for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and broader coronavirus infection. We show the use of the well-characterized human kidney cell line Caki-1 for infection with three human coronaviruses (hCoVs): Betacoronaviruses SARS-CoV-2 and Middle Eastern respiratory syndrome coronavirus and Alphacoronavirus hCoV 229E. Caki-1 cells show equal or superior susceptibility to all three coronaviruses when compared to other commonly used cell lines for the cultivation of the respective virus. Antibody staining against SARS-CoV-2 N protein shows comparable replication rates. A panel of 26 custom antibodies shows the location of SARS-CoV-2 proteins during replication using immunocytochemistry. In addition, Caki-1 cells were found to be susceptible to two other human respiratory viruses, influenza A virus and respiratory syncytial virus, making them an ideal model for cross-comparison for a broad range of respiratory viruses. IMPORTANCE Cell lines remain the backbone of virus research, but results are only as good as their originating model. Despite increased research into human coronaviruses following the COVID-19 pandemic, researchers continue to rely on suboptimal cell line models of: non-human origin, incomplete differentiation, or lacking active interferon responses. We identified the human kidney Caki-1 cell line as a potential target for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). This cell line could be shown to be infectable with a wide range of coronaviruses including common cold virus hCoV-229E, epidemic virus MERS-CoV, and SARS-CoV-2 as well as other important respiratory viruses influenza A virus and respiratory syncytial virus. We could show the localization of 26 SARS-CoV-2 proteins in Caki-1 cells during natural replication and the cells are competent of forming a cellular immune response. Together, this makes Caki-1 cells a unique tool for cross-virus comparison in one cell line.

Short-Term Stock Performance of Health Care Companies in Times of Viral Epidemics and Pandemics

The spread of Coronavirus Disease 2019 significantly influenced the global economy. Companies from the health care industry could emerge as potential winners in health crises, and their listed stocks could potentially outperform. For the first time in the English and German language literatures, this study investigates whether this occurred and which factors influenced the short-term stock price performance of companies from the health care industry during epidemics and pandemics. An event study of virus-related epidemics and pandemics from 2000 to 2020 was conducted. The results show that the stocks of companies from the health care industry tend to outperform the market during pandemics. The selection of the subindustry in the health care industry and the region of the stock markets significantly influenced abnormal returns. The results are especially relevant for investors seeking short-term trading opportunities but also provide implications for diversifying their portfolios during epidemics and pandemics.

Emerging themes and approaches in plant virus epidemiology.

Plant diseases caused by viruses share many common features with those caused by other pathogen taxa in terms of the host-pathogen interaction, but there are also distinctive features in epidemiology, most apparent where transmission is by vectors. Consequently, the host-virus-vector-environment interaction presents a continuing challenge in attempts to understand and predict the course of plant virus epidemics. Theoretical concepts, based on the underlying biology, can be expressed in mathematical models, and tested through quantitative assessments of epidemics in the field; this remains a goal in understanding why plant virus epidemics occur and how they can be controlled. To this end, this review identifies recent emerging themes and approaches to fill in knowledge gaps in plant virus epidemiology. We review quantitative work on impact of climatic fluctuations and change on plants, virus and vectors under different scenarios where impacts on the individual components of the plant-virus-vector interaction may vary disproportionately; the continuing sometimes discordant debate on host resistance and tolerance as plant defense mechanisms, including aspects of farmer behavior and attitudes to disease management that may affect deployment in crops; disentangling host-virus-vector-environment interactions as these contribute to temporal and spatial disease progress in field populations, computational techniques for estimating epidemiological parameters from field observations, and the use of optimal control analysis to assess disease control options. We end by proposing new challenges and questions in plant virus epidemiology.

Environmental conditions modulate plant virus vertical transmission and survival of infected seeds.

Seed transmission is a major mode for plant virus persistence and dispersal, as it allows virus survival within the seed in unfavorable conditions and facilitate spread when they become more favorable. To access these benefits, viruses require infected seeds to remain viable and germinate in altered environmental conditions, which may be also advantageous for the plant. However, how environmental conditions and virus infection affect seed viability, and whether these effects modulate seed transmission rate and plant fitness, are unknown. To address these questions, we utilized turnip mosaic virus (TuMV), cucumber mosaic virus (CMV) and Arabidopsis thaliana as model systems. Using seeds from plants infected by these viruses, we analyzed seed germination rates, as a proxy of seed viability, and virus seed transmission rate under standard and altered temperature, CO2 and light intensity. With this data, we developed and parameterized a mathematical epidemiological model to explore the consequences of the observed alterations on virus prevalence and persistence. Altered conditions generally reduced overall seed viability and increased virus transmission rate as compared to standard conditions, which indicated that under environmental stress infected seeds are more viable. Hence, virus presence may be beneficial for the host. Subsequent simulations predicted that enhanced viability of infected seeds and higher virus transmission rate may increase virus prevalence and persistence in the host population under altered conditions. This work provides novel information on the influence of the environment in plant virus epidemics.

Level of global preparedness to pandemics and responsiveness of health systems to pandemics: Lessons learned from Covid-19 and Monkeypox Outbreak

The monkeypox disease has been declared a global health emergency in the recent past by WHO since cases have been observed to be increasing in many countries where it is not common. Thus, epidemics and pandemics such as the novel coronavirus disease 2019 (COVID-19) have had adverse effects on populations, and healthcare systems, especially in Low and Middle-Income Countries (LMICs) because of borrowing or inadequate resources when compared to high-income countries. The Ebola and Covid-19 for instance have also revealed the existing deficiencies and vulnerabilities in the global structure of the pandemics’ prevention and control all in one. New epidemics are constantly emerging such as the current monkeypox outbreak that is ravaging the global population; hence it has dawned on the world that there is need for combined efforts at a global level and probably investing more in the health systems to be able to prevent and deal with other similar epidemics. Further, there is required more equal distribution of the resources and health intervention in all countries to build strong containment responses. Based on prior episodic outbreaks, there is the need for immediate coordinated response to the ongoing monkeypox outbreak. The purpose of this research article is to review and discuss the main underlying autopsies from past outbreaks, including Ebola and Covid-19 with emphasis on readiness, answering to the outbreak, coordination measures, health system robustness, risk communication and the international community. It also evaluates the readiness globally and by country to the present monkeypox outbreak based on other recent large viral epidemics. It also prevents social stigmatization, which is the negation of outbreaks, and rightful inequities that may arise from the same. As such, and with health system reforms launched now, countries can prepare themselves against present and future known and unknown urgencies and leave no one behind. As such the general research question of this study is to obtain strategies for enhancing pandemic preparedness taken from successes and failure noticed earlier and the focus placed on LMIC capacity strengthening.

In silico epitope prediction and evolutionary analysis reveals capsid mutation patterns for enterovirus B.

Enterovirus B (EVB) is a common species of enterovirus, mainly consisting of Echovirus (Echo) and Coxsackievirus B (CVB). The population is generally susceptible to EVB, especially among children. Since the 21st century, EVB has been widely prevalent worldwide, and can cause serious diseases, such as viral meningitis, myocarditis, and neonatal sepsis. By using cryo-electron microscopy, the three-dimensional (3D) structures of EVB and their uncoating receptors (FcRn and CAR) have been determined, laying the foundation for the study of viral pathogenesis and therapeutic antibodies. A limited number of epitopes bound to neutralizing antibodies have also been determined. It is unclear whether additional epitopes are present or whether epitope mutations play a key role in molecular evolutionary history and epidemics, as in influenza and SARS-CoV-2. In the current study, the conformational epitopes of six representative EVB serotypes (E6, E11, E30, CVB1, CVB3 and CVB5) were systematically predicted by bioinformatics-based epitope prediction algorithm. We found that their epitopes were distributed into three clusters, where the VP1 BC loop, C-terminus and VP2 EF loop were the main regions of EVB epitopes. Among them, the VP1 BC loop and VP2 EF loop may be the key epitope regions that determined the use of the uncoating receptors. Further molecular evolution analysis based on the VP1 and genome sequences showed that the VP1 C-terminus and VP2 EF loop, as well as a potential "breathing epitope" VP1 N-terminus, were common mutation hotspot regions, suggesting that the emergence of evolutionary clades was driven by epitope mutations. Finally, footprints showed mutations were located on or near epitopes, while mutations on the receptor binding sites were rare. This suggested that EVB promotes viral epidemics by breaking the immune barrier through epitope mutations, but the mutations avoided the receptor binding sites. The bioinformatics study of EVB epitopes may provide important information for the monitoring and early warning of EVB epidemics and developing therapeutic antibodies.