Zoonotic Animal Influenza Virus and Potential Mixing Vessel Hosts.

Influenza viruses belong to the family Orthomyxoviridae with a negative-sense, single-stranded segmented RNA genome. They infect a wide range of animals, including humans. From 1918 to 2009, there were four influenza pandemics, which caused millions of casualties. Frequent spillover of animal influenza viruses to humans with or without intermediate hosts poses a serious zoonotic and pandemic threat. The current SARS-CoV-2 pandemic overshadowed the high risk raised by animal influenza viruses, but highlighted the role of wildlife as a reservoir for pandemic viruses. In this review, we summarize the occurrence of animal influenza virus in humans and describe potential mixing vessel or intermediate hosts for zoonotic influenza viruses. While several animal influenza viruses possess a high zoonotic risk (e.g., avian and swine influenza viruses), others are of low to negligible zoonotic potential (e.g., equine, canine, bat and bovine influenza viruses). Transmission can occur directly from animals, particularly poultry and swine, to humans or through reassortant viruses in "mixing vessel" hosts. To date, there are less than 3000 confirmed human infections with avian-origin viruses and less than 7000 subclinical infections documented. Likewise, only a few hundreds of confirmed human cases caused by swine influenza viruses have been reported. Pigs are the historic mixing vessel host for the generation of zoonotic influenza viruses due to the expression of both avian-type and human-type receptors. Nevertheless, there are a number of hosts which carry both types of receptors and can act as a potential mixing vessel host. High vigilance is warranted to prevent the next pandemic caused by animal influenza viruses.

Regulatory Framework: Vaccine Development in Us, India and Eu

Vaccine development usually takes around 7 y to come to the market after getting necessary regulatory approvals. But recent pandemics like Covid, Ebola, Swine Flu, have resulted in the collaboration of efforts between the government doing investments in vaccine development, academia, regulatory bodies, and industry. This has shortened the timelines for approval for vaccines. In 2009, HINI, Swine flu vaccines took 93 d for identifying the vaccine candidate for clinical trials. In 2014, for Ebola vaccine, it was deployed while the epidemic was still going on. Ebola vaccine was developed in 5 y. In case of Covid (SARS-CoV-2) clinical trials were approved when 2 mo of the pandemic onset. Within a time of 9 mo about 138 vaccine candidates are being reviewed for approval of EUA. This highly helps in the shortening of vaccine development and necessary approval. In this paper, we focused on the regulatory framework of vaccine development in INDIA, US and EU.Copyright © 2023 The Authors.

Novel Coronavirus in India and Outbreaks Around World: A Statistical Analysis of Odisha, India and the World

Background: The Public Health Emergency of International Concern by the World Health Organization (WHO) declared novel Coronavirus (nCoV-2019) outbreaks in 2019 as pandemic. Method(s): This research work made an analysis of the nCoV-2019 outbreak in India solely based on a mathematical model. Result(s): The historical epidemics in the world are plague, AIDS, Swine flu, ebola, zika virus, Black Death and SARS. Considering the model used for SARS 2003, the present research on COVID-2019 estimates characteristics of the rate of infections (I) and rate of recovery(R), which leads to the estima-tion of the I and R leading to predict the number of infections and recovery. Through ruling out the un-predictable and unreasonable data, the model predicts that the number of the cumulative 2019-nCoV cases may reach from 3398458 (mid of May) to 15165863, with a peak of the unrecovered infection (2461434-15165863) occurring in late April to late July. In this paper, we predicate how the confirmed infected cases would rapidly decrease until late March to July in India. We also focus on how the Gov-ernment of Odisha (a state of India) creates history in the protective measures of COVID-19. Conclusion(s): The growing infected cases may get reduced by 70-79% by strong anti-epidemic measures. The enforcement of shutdown, lockdown, awareness, and improvement of medical and health care could also lead to about one-half transmission decrease and constructively abridge the duration of the 2019 n-CoV.Copyright © 2021 Bentham Science Publishers.

A cohort data-based perspective on ecological aspects predicaments in human health

The ecological aspects such as environmental factors, socioeconomic constraints and demographic parameters are one of the key aspects to examine the health benefits of human subject and used as ready reference in eco system modeling. Presently, there are various kinds of deadly diseases and disorders who are liable for affecting the human health and impacting the eco framework of whole world. The virus such as Corona, Swine Flu, omicron and others are one of the best examples for the research community to understand the vulnerability of human health in relation to these unpredictable causes. As per report of world health organization every year, more than 10 million people are affected by such ecological and environmental disbalance. The burden of ecological aspects apparently affecting the working of various organs in human subject. There is a need to understand this ecological model in relation to health of human subjects. In this study, a cohort-based data set of ecological pollutants and physiological signals such as ECG and anthropogenic data of human subjects were extracted from Maharashtra from 2015 to 2021. As per neural network-based hazard ratio was calculated and observed to be deplorable among unhealthy and health categories of human subjects. It has been concluded that the accumulative eco system is responsible for overburden to organs of living beings and policy makers must focus on the facts of study for modern management framework designs. [ FROM AUTHOR]

Post-vaccination Central Nervous System Inflammation at a Tertiary Neuroimmunology Clinic: Impact of Influenza, SARS-CoV-2, and Other Vaccines

Objective: We aim to determine the prevalence and clinical characteristics of iatrogenic CNS inflammation associated with vaccinations at a tertiary neuroimmunology clinic and compare the frequency of these events before and after the COVID-19 pandemic. Background: Various vaccines are implicated in rare demyelinating events. Although influenza is the most commonly-implicated vaccine, an increasing number of CNS inflammatory events are linked to SARS-CoV-2 vaccines. Design/Methods: We analyzed consecutive patients seen over 4 years (2017-2021) at a tertiary neuroimmunology clinic who were screened for iatrogenic CNS inflammation secondary to vaccinations. In patients with suspected iatrogenic events, the Naranjo Adverse Drug Reaction Probability Scale was used to score the probability of vaccine-related events as doubtful, possible, probable, or definite. Results: In total, 419 patients were seen over 4 years and were screened. Eleven cases were identified, and the total prevalence was 2.6% (82% female, average age 56+/- 18 years). Most events (10, 91%) were scored as probable. The following disease phenotypes were identified: multiple sclerosis relapse (6, 55%), optic neuritis (1, 9%), monophasic MOGAD (1, 9%), transverse myelitis relapse (1, 9%), seropositive NMOSD (1, 9%), and autoimmune encephalitis (1, 9%). The vaccines included influenza (n=4), SARS-CoV-2 mRNA (n=3), swine flu (n=1), and HPV (n=1). Two patients were exposed simultaneously to multiple vaccines (tetanus, MMR, and VZV;tetanus, hepatitis A, and meningococcal vaccines). Spontaneous resolution occurred in 36% of events, complete response to corticosteroids/immunotherapy in 46%, partial response in 9%, and unresponsiveness in 9%. Finally, 8 patients (73%) had relapsing disease and 3 patients (27%) had monophasic disease. Conclusions: Post-vaccination iatrogenic CNS inflammation is a rare but distinct neuroimmunological disease spectrum mostly involving spontaneous recovery or responsiveness to corticosteroids. We did not identify an excess of SARS-CoV-2 vaccine-related events. The rare occurrence and predominantly favorable prognosis suggest the benefit of vaccination outweighs the neurological risks, especially during the COVID-19 pandemic.

Viral co-infections of the porcine respiratory tract: Insight into the local cytokine response

Infections of the porcine respiratory tract are frequently multifactorial, with more than one pathogen involved. They have a significant impact on the efficiency of pig production. One example of such a mixed infection is the porcine respiratory disease complex (PRDC). PRDC can be caused by various viral or bacterial agents. The main viral agents associated with PRDC and considered the primary pathogens are porcine reproductive and respiratory syndrome virus (PRRSV), swine influenza virus (SIV), and porcine circovirus type 2 (PCV2). PRRSV, SIV, and PCV2 are known as inducers of inflammatory cytokines. Cytokines play an important role in all aspects of immune responses, but their uncontrolled release in virus-induced diseases may aggravate the course of the disease and the severity of pathological lesions. Although data regarding the kinetics of the local cytokine response in porcine lungs during mono-infection with these pathogens are abundant, their impact on each other during simultaneous infection in different combinations is not thoroughly understood. This paper aims to present the available data on interactions between SIV, PRRSV, and PCV2 in mixed infections of the porcine respiratory tract and the influence of co-infections on local cytokine profiles in the lungs.

Lessons learned from coronavirus pandemic

Since the day I started to write this article, there have been so many new developments in the world and in our country, even in the last 4 days, evaluating new information, reading what is written, making sense of interpretations, causes ones thoughts to jump from one point to another. I realized that it is not possible to prepare a systematic article that covers the subject completely. I started by making a list of messages and observations in my mind and sharing them with you. The pandemic experience was not the first in our working life, but the closest was the H1N1 pandemic in the 2009-2010 season. In our country, a total of 13,591 cases and 656 deaths due to pandemic influenza virus were confirmed. Hospitalization rate was 1.4%;the rate of hospitalization to intensive care unit was 13.6% and the mortality rate in intensive care patients was 19.6%.

Avian reservoirs: virus hunters and birdwatchers in Chinese sentinel posts: by Frédéric Keck, Durham, NC, Duke University Press, 2020, 256 pp., $26.95 (paperback), ISBN 978-1-4780-0698-5

Genomic epidemiology can yield insights about antimicrobial resistance, mutations that might make pathogens more virulent, and population-level disease dynamics. Some readers of I New Genetics and Society i will be aware of the increasing role of pathogen genomics in disease control, which Keck discusses. As I was reading Frédéric Keck's I Avian Reservoirs: Virus Hunters and Birdwatchers in Chinese Sentinel Posts i in November 2020, news broke that Denmark would be culling its entire population of around 15 million farmed mink. [Extracted from the article] Copyright of New Genetics & Society is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Time-dependent viral interference between influenza virus and coronavirus in the infection of differentiated porcine airway epithelial cells.

Coronaviruses and influenza viruses are circulating in humans and animals all over the world. Co-infection with these two viruses may aggravate clinical signs. However, the molecular mechanisms of co-infections by these two viruses are incompletely understood. In this study, we applied air-liquid interface (ALI) cultures of well-differentiated porcine tracheal epithelial cells (PTECs) to analyze the co-infection by a swine influenza virus (SIV, H3N2 subtype) and porcine respiratory coronavirus (PRCoV) at different time intervals. Our results revealed that in short-term intervals, prior infection by influenza virus caused complete inhibition of coronavirus infection, while in long-term intervals, some coronavirus replication was detectable. The influenza virus infection resulted in (i) an upregulation of porcine aminopeptidase N, the cellular receptor for PRCoV and (ii) in the induction of an innate immune response which was responsible for the inhibition of PRCoV replication. By contrast, prior infection by coronavirus only caused a slight inhibition of influenza virus replication. Taken together, the timing and the order of virus infection are important determinants in co-infections. This study is the first to show the impact of SIV and PRCoV co- and super-infection on the cellular level. Our results have implications also for human viruses, including potential co-infections by SARS-CoV-2 and seasonal influenza viruses.

Electrochemical investigations for COVID-19 detection-A comparison with other viral detection methods.

Virus-induced infection such as SARS-CoV-2 is a serious threat to human health and the economic setback of the world. Continued advances in the development of technologies are required before the viruses undergo mutation. The low concentration of viruses in environmental samples makes the detection extremely challenging; simple, accurate and rapid detection methods are in urgent need. Of all the analytical techniques, electrochemical methods have the established capabilities to address the issues. Particularly, the integration of nanotechnology would allow miniature devices to be made available at the point-of-care. This review outlines the capabilities of electrochemical methods in conjunction with nanotechnology for the detection of SARS-CoV-2. Future directions and challenges of the electrochemical biosensors for pathogen detection are covered including wearable and conformal biosensors, detection of plant pathogens, multiplexed detection, and reusable biosensors for on-site monitoring, thereby providing low-cost and disposable biosensors.

Herd-level risk factors for chronic pleurisy in finishing pigs: a case-control study.

BACKGROUND: Chronic pleurisy is a common finding in slaughtered pigs in post-mortem meat inspection. The prevalence of pleurisy has been increasing during the last decade also in Finland. The aim of this prospective case-control study was to search for environmental, infectious and management-related herd-level risk factors for pleurisy in the slaughterhouse. Altogether 46 Finnish pig herds, including 25 control (low pleurisy prevalence in meat inspection) and 21 case (high pleurisy) herds, were enrolled in the study and visited during the tenth week of the rearing period of finishing pigs. Herd personnel were asked about basic herd information, management and environmental factors. Selected pigs were examined clinically, environmental parameters were measured and 15 blood samples per herd were taken during herd visits. Antibodies against Actinobacillus pleuropneumonia serotype 2 (APP2) and ApxIV toxin and swine influenza virus were measured. After the slaughter of study pigs, meat inspection results of the batch were gathered from slaughterhouses. Multivariate logistic regression model was built to identify possible risk factors for a herd to be a case herd (i.e. having high pleurisy values). RESULTS: Finishing herd type and herd size were observed to act as risk factors. None of clinical signs of pigs, management-related factors or environmental measurements were associated with herd status. CONCLUSIONS: As previously known, in endemic and subclinical infections such as APP, herd factors are important, but detailed risk factors seem to be difficult to identify.

A Systematic Review Analyzing the Prevalence and Circulation of Influenza Viruses in Swine Population Worldwide.

The global anxiety and a significant threat to public health due to the current COVID-19 pandemic reiterate the need for active surveillance for the zoonotic virus diseases of pandemic potential. Influenza virus due to its wide host range and zoonotic potential poses such a significant threat to public health. Swine serve as a "mixing vessel" for influenza virus reassortment and evolution which as a result may facilitate the emergence of new strains or subtypes of zoonotic potential. In this context, the currently available scientific data hold a high significance to unravel influenza virus epidemiology and evolution. With this objective, the current systematic review summarizes the original research articles and case reports of all the four types of influenza viruses reported in swine populations worldwide. A total of 281 articles were found eligible through screening of PubMed and Google Scholar databases and hence were included in this systematic review. The highest number of research articles (n = 107) were reported from Asia, followed by Americas (n = 97), Europe (n = 55), Africa (n = 18), and Australia (n = 4). The H1N1, H1N2, H3N2, and A(H1N1)pdm09 viruses were the most common influenza A virus subtypes reported in swine in most countries across the globe, however, few strains of influenza B, C, and D viruses were also reported in certain countries. Multiple reports of the avian influenza virus strains documented in the last two decades in swine in China, the United States, Canada, South Korea, Nigeria, and Egypt provided the evidence of interspecies transmission of influenza viruses from birds to swine. Inter-species transmission of equine influenza virus H3N8 from horse to swine in China expanded the genetic diversity of swine influenza viruses. Additionally, numerous reports of the double and triple-reassortant strains which emerged due to reassortments among avian, human, and swine strains within swine further increased the genetic diversity of swine influenza viruses. These findings are alarming hence active surveillance should be in place to prevent future influenza pandemics.