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The article discusses the current situation with H5N1 avian influenza and its risk to humans. It explains the background of influenza viruses, the ongoing avian influenza panzootic, human cases of avian influenza, pandemic risk, and monitoring of viruses. The text emphasizes the need for a OneHealth response to address the complex problem affecting wildlife, ecosystems, domestic animals, companion animals, and humans. The risk of H5N1 progressing to cause a human pandemic following COVID-19 is currently low. [Extracted from the article]

This document is a compilation of references related to the outbreak of avian influenza, specifically the H5N1 strain, in different regions worldwide. It includes scientific articles, reports, and studies discussing the spread of the virus among wild birds, marine mammals, and other animals. The references also cover the impact of the virus on various species and ecosystems, as well as efforts to control and prevent its spread. Researchers and library patrons interested in studying the avian influenza outbreak and its effects on wildlife will find valuable information in these references. Additionally, the document includes references to topics such as marine mammal ecotoxicology, the conservation of Galápagos birds, the prevention and control of highly pathogenic avian influenza, and Ecuador's preparedness and response to the COVID-19 pandemic. [Extracted from the article]

The prevalence of highly pathogenic avian influenza (HPAI) A(H5N1) viruses has increased in wild birds and poultry worldwide, and concomitant outbreaks in mammals have occurred. During 2023, outbreaks of HPAI H5N1 virus infections were reported in cats in South Korea. The H5N1 clade 2.3.4.4b viruses isolated from 2 cats harbored mutations in the polymerase basic protein 2 gene encoding single amino acid substitutions E627K or D701N, which are associated with virus adaptation in mammals. Hence, we analyzed the pathogenicity and transmission of the cat-derived H5N1 viruses in other mammals. Both isolates caused fatal infections in mice and ferrets. We observed contact infections between ferrets, confirming the viruses had high pathogenicity and transmission in mammals. Most HPAI H5N1 virus infections in humans have occurred through direct contact with poultry or a contaminated environment. Therefore, One Health surveillance of mammals, wild birds, and poultry is needed to prevent potential zoonotic threats. [ABSTRACT FROM AUTHOR]

The article discusses the current state of the COVID-19 pandemic, stating that it has transitioned from a global crisis to an endemic status. Most people are no longer wearing masks in public, and clinicians have largely stopped wearing masks in their day-to-day work. However, the article also highlights the emergence of other infectious diseases, such as H5N1 influenza and severe fever with thrombocytopenia syndrome (SFTS). The authors focus on SFTS, providing information on its origins, symptoms, and mortality rates. They also discuss the association between increased cardiac troponin I levels and mortality in SFTS patients. The article concludes by emphasizing the role of intensivists in caring for patients with emerging viral illnesses and the need for early recognition and investigation of these diseases. [Extracted from the article]

The COVID‐19 pandemic had a significant impact on the global influenza vaccination and the epidemics of seasonal influenza. To further explore the molecular epidemiology of influenza viruses and assess vaccine effectiveness, we collected influenza cases in Wuhan during the 2022–2023 influenza season. Among 1312 clinical samples, 312 samples tested positive for influenza viruses using reverse transcription polymerase chain reaction. These positive samples included 146A/H1N1 subtypes (46.8%), 164A/H3N2 subtypes (52.6%) and 2 influenza B virus types (0.6%). Based on the whole genome sequence information of hemagglutinin (HA) and neuraminidase (NA) from 27A/H1N1 influenza virus strains and 26A/H3N2 influenza virus strains obtained in this study, a phylogenetic analysis was conducted. The analysis revealed that all A/H1N1 strains belonged to the evolutionary branch 6B.1A.5a.2a, and they exhibited specific substitutions at positions K71Q, Q206E, E241A, and R276K. Similarly, all A/H3N2 strains were classified into the 3C.2a1b.2a.1a subclade and displayed amino acid substitutions at positions S172H, N175Y, I176T, K187N, and S214P. Notably, the A/H3N2 strains also acquired a new potential glycosylation site at position N174. Using an epitope model, the predicted vaccine effectiveness was assessed for the A/H1N1 and A/H3N2 strains. The predicted vaccine effectiveness against the Wuhan influenza epidemic strain was over 85% for the A/H1N1 vaccine strain. However, the effectiveness against the A/H3N2 vaccine strain was only 48.7%. To further verify the protection of influenza vaccine against circulating influenza viruses in the region, we conducted in vivo and in vitro animal studies. The results of in vitro neutralization experiment showed that rabbit serum antibodies inoculated with quadrivalent isolated influenza vaccine had neutralization ability against all 24 isolated influenza viruses. In vivo experiments showed that vaccinated mice had fewer lung lesions when infected with the influenza strain circulating in Wuhan, suggesting that vaccination can effectively reduce the occurrence of severe lung damage. These findings emphasize the importance of accurately predicting seasonal influenza strains for effective influenza prevention and control, especially during the co‐circulation of SARS‐CoV‐2 and influenza viruses. This study provides valuable information on the seasonal influenza virus in Wuhan during the COVID‐19 pandemic and serves as a basis for vaccine prediction and updates. [ABSTRACT FROM AUTHOR]

Accurate prediction of epidemics is pivotal for making well-informed decisions for the control of infectious diseases, but addressing heterogeneity in the system poses a challenge. In this study, we propose a novel modeling framework integrating the spatio-temporal heterogeneity of susceptible individuals into homogeneous models, by introducing a continuous recruitment process for the susceptibles. A neural network approximates the recruitment rate to develop a Universal Differential Equations (UDE) model. Simultaneously, we pre-set a specific form for the recruitment rate and develop a mechanistic model. Data from a COVID Omicron variant outbreak in Shanghai are used to train the UDE model using deep learning methods and to calibrate the mechanistic model using MCMC methods. Subsequently, we project the attack rate and peak of new infections for the first Omicron wave in China after the adjustment of the dynamic zero-COVID policy. Our projections indicate an attack rate and a peak of new infections of 80.06% and 3.17% of the population, respectively, compared with the homogeneous model's projections of 99.97% and 32.78%, thus providing an 18.6% improvement in the prediction accuracy based on the actual data. Our simulations demonstrate that heterogeneity in the susceptibles decreases herd immunity for ~37.36% of the population and prolongs the outbreak period from ~30 days to ~70 days, also aligning with the real case. We consider that this study lays the groundwork for the development of a new class of models and new insights for modelling heterogeneity. Author summary: This study developed a novel modeling framework that explicitly integrates spatial heterogeneity into traditionally homogeneous compartmental models for precise and efficient prediction of epidemics of infectious diseases. We employed the deep learning method to learn the recruitment rate of susceptible individuals from data given its inherent complexity and limited information. Moreover, we predefined the mechanistic form of the recruitment rate to facilitate interpretation and scenario analysis, where we fitted the recruitment rate of mechanistic model to those obtained from deep learning-based approach. Compared to the homogeneous model, our mechanistic model predicts significantly lower peak and final sizes of the epidemic, as well as reduced levels of herd immunity. Using real data as a benchmark, our model's predictive accuracy has markedly improved. The framework of our mechanistic model employs a straightforward approach to integrate heterogeneity into compartment models, thereby facilitating the extension of the modelling framework to encompass various aspects of infectious disease transmission with spatio-temporal heterogeneity among the susceptible population. [ABSTRACT FROM AUTHOR]

The article presents a case study of a 24-year-old man who was admitted with fever, cough, shortness of breath, and chest pain, ultimately diagnosed with a respiratory viral infection, likely influenza, complicated by a bacterial superinfection. Topics discussed include the historical context of the 1918 influenza pandemic, advancements in the identification and vaccination against influenza, and the development of early surveillance systems and their impact on public health responses.

Background: On March 16th 2024, the first case of Human infection with avian influenza H10N3 since the end of the global COVID-19 Pandemic was reported in Kunming, China. To enhance comprehension of the source of infection and risk factors of the H10N3 virus infection, this case report summarizes the clinical features, epidemiological investigation, and laboratory test results. Provides recommendations for the prevention and control of Human infection with avian influenza H10N3. Case presentation: A 51-year-old male with a history of COVID-19 infection and a smoking habit of 30 years, worked in livestock breeding and was exposed to sick and dead poultry before falling ill with fever and chills on 28th February 2024. A week later, he was diagnosed with severe pneumonia, influenza, and respiratory failure by the Third People's Hospital of Kunming(KM-TPH). He was discharged on 17th April and none of his 6 close contacts showed any symptoms of illness. Environmental samples taken from the epidemic spot revealed that peacock feces tested positive for avian influenza sub-type H9 and waterfowl specimens showed positive results for avian influenza sub-type H5. Gene sequencing conducted on positive specimens from the patient's respiratory tract by the Chinese Centre for Disease Control and Prevention (CCDC) showed a high degree of similarity (98.6–99.5%) with the strain responsible for the second global case of human infected with H10N3 (reported from Zhejiang, China 2022). Conclusions: According to the available epidemiological information, there is limited evidence to suggest that H10N3 viruses are excessively lethal. However, adaptive site mutations have been observed in the H10N3 isoform of mammals. While it is unlikely that the H10N3 virus will spread among humans, the possibility of additional cases cannot be entirely ruled out. Symptoms of human infection with H10N3 avian influenza are similar to those of common respiratory infections, which may result in them being overlooked during initial clinical consultations. Therefore, it is essential to improve surveillance of the H10 sub-type of avian influenza and to increase the awareness of hospital-related workers of cases of pneumonia of unknown origin. [ABSTRACT FROM AUTHOR]

Campylobacteriosis is one of the most prevalent foodborne bacterial diseases. Infected chickens and poultry products are a possible source of this illness in people all over the world. Therefore, the objective of this current meta-analysis was to summarise the available data on the prevalence of thermotolerant Campylobacter species in poultry and their products. A systematic literature search was conducted to gather pertinent articles from 2000 to 2021, using globally recognised four electronic databases, including Google Scholar, PubMed, Science Direct, and Scopus. The mean prevalence of campylobacteriosis in poultry species and their products (meat, eggs, and offal) was 44% (95% CI: 39-50%) with the highest prevalence in Australia (67%). Among the European countries, France had the maximum prevalence rate of 76%, while Japan had recorded 61% as the peak among Asian countries. Prevalence rates of 43% and 56% were calculated in United States and Brazil representing the American region. In the species-wise results, the mean prevalence rates of Campylobacter jejuni and Campylobacter coli were 29% and 16%, correspondingly. In case of live birds, chickens and turkeys possessed maximum prevalence rates of 47% and 40%, whereas 46% and 63% were recorded from poultry meat and liver. Besides, categorising the difference sources of contamination, the maximum prevalence rate of 62% was found in the poultry processing plants followed by 54% from supermarkets and 38% from farms. According to the current meta-analysis, Campylobacter jejuni was the most common bacterium worldwide, and poultry meat - the most frequent source of human infection. The predominance of Campylobacter species is a threat for public health, and national authorities must undertake strategies to control this disease in each country with the goal of establishing adequate risk management measures. [ABSTRACT FROM AUTHOR]

H5N1, a highly pathogenic avian influenza virus, poses an ongoing and significant threat to global public health, primarily due to its potential to cause severe respiratory illness and high mortality rates in humans. Despite extensive efforts in vaccination and antiviral therapy, H5N1 continues to exhibit high mutation rates, resulting in recurrent outbreaks and the emergence of drug‐resistant strains. Traditional antiviral therapies, such as neuraminidase inhibitors and M2 ion channel blockers, have demonstrated limited efficacy, necessitating the exploration of innovative therapeutic strategies. Proteolysis‐targeting chimeras (PROTACs) emerge as a novel and promising approach, leveraging the ubiquitin‐proteasome system to selectively degrade pathogenic proteins. Unlike conventional inhibitors that only block protein function, PROTACs eliminate the target protein, providing a sustained therapeutic effect and potentially reducing the development of resistance. This paper offers a comprehensive examination of the current landscape of H5N1 infections, detailing the pathogenesis and challenges associated with existing treatments. It further explores the mechanism of action, design, and therapeutic potential of PROTACs in inhibiting H5N1. By targeting essential viral proteins, such as hemagglutinin and the RNA‐dependent RNA polymerase complex, PROTACs hold the potential to revolutionize the treatment of H5N1 infections, offering a new frontier in antiviral therapy. [ABSTRACT FROM AUTHOR]

The prevalence of the highly pathogenic avian influenza virus H5N1 in wild birds that migrate all over the world has resulted in the dissemination of this virus across Asia, Europe, Africa, North and South America, the Arctic continent, and Antarctica. So far, H5N1 clade 2.3.4.4.b has reached an almost global distribution, with the exception of Australia and New Zealand for autochthonous cases. H5N1 clade 2.3.4.4.b, derived from the broad-host-range A/Goose/Guangdong/1/96 (H5N1) lineage, has evolved, adapted, and spread to species other than birds, with potential mammal-to-mammal transmission. Many public health agencies consider H5N1 influenza a real pandemic threat. In this sense, we analyzed H5N1 hemagglutinin sequences from recent outbreaks in animals, clinical samples, antigenic prototypes of candidate vaccine viruses, and licensed human vaccines for H5N1 with the aim of shedding light on the development of an H5N1 vaccine suitable for a pandemic response, should one occur in the near future. [ABSTRACT FROM AUTHOR]

Avian leukemia virus (ALV) is one of the main pathogens of poultry tumor diseases, and has caused significant economic losses to the poultry industry since its discovery. Therefore, establishing a rapid detection method is essential to effectively prevent and control the spread of ALV. In this study, specific CRISPR RNA (crRNA) and recombinase-aided amplification (RAA) primers with T7 promoter were designed based on the relatively conserved sequence of avian leukemia virus. When crRNA recognized the target sequence, Cas13a protein was activated to cut the reporting probes, and then the detection results were read by using lateral flow dipstick (LFD). The RAA-CRISPR/Cas13a-LFD reaction system was constructed. The RAA amplification time, Cas13a protein concentration, crRNA concentration and CRISPR reaction time were optimized to evaluate the specificity, sensitivity and reproducibility of the system. Finally, RAA-CRISPR/Cas13a-LFD method was compared with Polymerase chain reaction (PCR)-Agarose electrophoresis method and qPCR method in the detection of clinical samples, and the reliability of RAA-CRISPR/Cas13a-LFD method was evaluated. The results showed that the RAA-CRISPR/Cas13a-LFD method could effectively amplify the target gene at 37°C for 40 min, and the test results could be determined by LFD visual observation. The method had good specificity and no cross-reaction with Marek's disease virus (MDV), Fowl adenovirus (FAdV), Infectious bursal disease virus (IBDV), Newcastle disease virus (NDV), Infectious laryngotracheitis virus (ILTV), and Infectious bronchitis virus (IBV). The minimum detection limit of the method was 100 copies/μL, and it had good repeatability and stability. The coincidence rate of clinical detection reached 97.69% and 99.23%. In summary, this study established a simple, efficient, accurate and visualized ALV detection method, which can be used for the prevention and rapid clinical diagnosis of avian leukosis (AL). [ABSTRACT FROM AUTHOR]

Avian influenza A(H5N1) viruses can infect humans and cause a range of illnesses, from mild respiratory infections to severe diseases that can be fatal. Human infections are typically acquired through direct contact with infected animals or contaminated environments. Recent outbreaks of avian influenza have been documented in various countries, including Cambodia, Australia, Vietnam, and the United States. While there have been cases of human infection from exposure to infected cows, genetic analysis suggests that the viruses have not yet specialized towards the human host. Continuous surveillance and monitoring are crucial to detect any genetic changes that may indicate a genuine spill-over event. [Extracted from the article]

Avian influenza virus continues to pose zoonotic, epizootic, and pandemic threats worldwide, as exemplified by the 2020–23 epizootics of re-emerging H5 genotype avian influenza viruses among birds and mammals and the fatal jump to humans of emerging A(H3N8) in early 2023. Future influenza pandemic threats are driven by extensive mutations and reassortments of avian influenza viruses rooted in frequent interspecies transmission and genetic mixing and underscore the urgent need for more effective actions. We examine the changing global epidemiology of human infections caused by avian influenza viruses over the past decade, including dramatic increases in both the number of reported infections in humans and the spectrum of avian influenza virus subtypes that have jumped to humans. We also discuss the use of advanced surveillance, diagnostic technologies, and state-of-the-art analysis methods for tracking emerging avian influenza viruses. We outline an avian influenza virus-specific application of the One Health approach, integrating enhanced surveillance, tightened biosecurity, targeted vaccination, timely precautions, and timely clinical management, and fostering global collaboration to control the threats of avian influenza viruses. [ABSTRACT FROM AUTHOR]

Introduction: The increasing geographical spread of highly pathogenic avian influenza viruses (HPAIVs) is of global concern due to the underlying zoonotic and pandemic potential of the virus and its economic impact. An integrated One Health model was developed to estimate the likelihood of Avian Influenza (AI) introduction and transmission in Cuba, which will help inform and strengthen risk-based surveillance activities. Materials and methods: The spatial resolution used for the model was the smallest administrative district (“Consejo Popular”). The model was parameterised for transmission from wild birds to poultry and pigs (commercial and backyard) and then to humans. The model includes parameters such as risk factors for the introduction and transmission of AI into Cuba, animal and human population densities; contact intensity and a transmission parameter (β). Results: Areas with a higher risk of AI transmission were identified for each species and type of production system. Some variability was observed in the distribution of areas estimated to have a higher probability of AI introduction and transmission. In particular, the south-western and eastern regions of Cuba were highlighted as areas with the highest risk of transmission. Discussion: These results are potentially useful for refining existing criteria for the selection of farms for active surveillance, which could improve the ability to detect positive cases. The model results could contribute to the design of an integrated One Health risk-based surveillance system for AI in Cuba. In addition, the model identified geographical regions of particular importance where resources could be targeted to strengthen biosecurity and early warning surveillance. [ABSTRACT FROM AUTHOR]

Background: Influenza is a contagious respiratory disease posing a huge burden of disease for children around the world. The purpose of this study was to investigate the epidemiologic changes in childhood influenza in Zhengzhou, China, before, during, and after the COVID-19 outbreak. The aim of this study was to determine the impact of the COVID-19 outbreak and related prevention and control policies on the children's influenza epidemiological trend. Methods: All influenza report card data from the Children's Hospital Affiliated with Zhengzhou University's Disease Surveillance Reporting Management System were collected and analyzed monthly from January 2018 to December 2023. The period of the study was divided into three phases for comparison: the pre-pandemic period, the pandemic period, and the post-pandemic period. Results: Between January 2018 and December 2023, a total of 82,030 children with influenza were diagnosed at our hospital, including 46,453 males and 35,577 females. A total of 11,833 of them had to be hospitalized for influenza, and 321 of them were brought to the ICU. Influenza showed low-level epidemiologic status during the COVID-19 pandemic, and there was a substantial rise in influenza and a surge in the number of cases after the COVID-19 pandemic period. The year 2023 will had the most influenza cases (40,785). The peak incidence of influenza changes in 2022, from July to October, and in 2023, from February to April and from October to December. During the post-pandemic period, the proportion of new-borns and young children among influenza patients decreased, while the proportion of school-age children increased significantly, and the proportion of influenza patients hospitalized and the proportion of ICU admissions decreased. Conclusion: Influenza showed low-level epidemiologic status during the COVID-19 pandemic. In the post-pandemic period, there is a large increase in influenza incidence, with a double peak in influenza incidence. The proportion of school-age children with influenza has also increased. As a result, we recommend that influenza vaccination for key populations, particularly school-age children, be completed by October of each year in Henan Province, and that the government and schools increase education about nonpharmacological influenza prevention approaches. [ABSTRACT FROM AUTHOR]

Background: Rapid diagnostic tests (RDTs) for coronavirus disease (COVID) are used in low- and middle-income countries (LMICs) to inform treatment decisions. However, to date, it is unclear when this use is cost-effective. Existing analyses are limited to a narrow set of countries and uses. The aim of this study is to assess the cost-effectiveness of COVID RDTs to inform the treatment of patients with severe illness in LMICs, considering real world practice. Methods and findings: We assessed the cost-effectiveness of COVID testing across LMICs using a decision tree model, differentiating results by country income level, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) prevalence, and testing scenario (none, RDTs, polymerase chain reaction tests—PCRs and combinations). LMIC experts defined realistic care pathways and treatment options. Using a healthcare provider perspective and net monetary benefit approach, we assessed both intended (COVID symptom alleviation) and unintended (treatment side effects) health and economic impacts for each testing scenario. We included the side effects of corticosteroids, which are often the only available treatment for COVID. Because side effects depend both on the treatment and the patient's underlying illness (COVID or COVID-like illnesses, such as influenza), we considered the prevalence of COVID-like illnesses in our analyses. We found that SARS-CoV-2 testing of patients with severe COVID-like illness can be cost-effective in all LMICs, though only in some circumstances. High influenza prevalence among suspected COVID cases improves cost-effectiveness, since incorrectly provided corticosteroids may worsen influenza outcomes. In low- and some lower-middle-income countries, only patients with a high index of suspicion for COVID should be tested with RDTs, while other patients should be presumed to not have COVID. In some lower-middle-income and upper-middle-income countries, suspected severe COVID cases should almost always be tested. Further, in these settings, negative test results in patients with a high initial index of suspicion should be confirmed through PCR and, during influenza outbreaks, positive results in patients with a low initial index of suspicion should also be confirmed with a PCR. The use of interleukin-6 receptor blockers, when supported by testing, may also be cost-effective in higher-income LMICs. The cost at which they would be cost-effective in low-income countries ($162 to $406 per treatment course) is below current prices. The primary limitation of our analysis is substantial uncertainty around some of the parameters in our model due to limited data, most notably on current COVID mortality with standard of care, and insufficient evidence on the impact of corticosteroids on patients with severe influenza. Conclusions: COVID testing can be cost-effective to inform treatment of LMIC patients with severe COVID-like disease. The optimal algorithm is driven by country income level and health budgets, the level of suspicion that the patient may have COVID, and influenza prevalence. Further research to better characterize the unintended effects of corticosteroids, particularly on influenza cases, could improve decision making around the treatment of those with COVID-like symptoms in LMICs. Gabrielle Bonnet and team assess the cost-effectiveness of COVID testing across low-and-middle-income countries, differentiating results by country income level, SARS-CoV-2 prevalence and different testing scenarios. Author summary: Why was this study done?: The main role of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) testing has evolved from transmission reduction to informing the treatment of patients with most vulnerability or most severe illness. SARS-CoV-2 testing availability and use remains inconsistent in some low- and middle-income countries (LMICs), and understanding the cost-effectiveness of testing in such contexts may help guide priority setting and inform guidelines for health professionals. Research on the cost-effectiveness of SARS-CoV-2 testing in LMICs is limited. To our knowledge, no paper has considered both presumptive and symptomatic coronavirus disease (COVID) treatment as alternatives to testing, or has considered a range of treatment options reflective of LMIC contexts. What did the researchers do and find?: We used a decision tree model, health payer provider perspective and net monetary benefit approach to assess the cost-effectiveness of testing to support treatment for patients with severe/critical COVID-like illness in 129 LMICs, based on treatment pathways reported by experts working in LMICs. In low-income and the poorest of lower-middle-income countries, only patients with a high index of suspicion for COVID should be tested with rapid diagnostic tests. In the wealthiest among lower-middle-income countries and in upper-middle-income countries, testing of suspected severe COVID cases is almost always recommended. Polymerase chain reaction (PCR) confirmation of negative test results in patients with a high index of suspicion and, during influenza epidemics/outbreaks, of positive test results in patients with a low index of suspicion, is recommended. What do these findings mean?: COVID testing of patients with severe, COVID-like symptoms in LMICs can be cost-effective, provided sufficiently specific clinical screening algorithms can be used. Policymakers should consider both our study's results regarding variability between countries at a similar income level and its sensitivity analysis, particularly regarding country-specific factors, alongside other considerations such as local feasibility and equity, to inform national level decision-making. The main limitation of the study is uncertainty on some parameters, including current COVID case fatality risks and the impact of corticosteroids on patients with influenza. [ABSTRACT FROM AUTHOR]

Influenza viruses constitute a major threat to human health globally. The viral surface glycoprotein hemagglutinin (HA) is the immunodominant antigen, contains the site for binding to the cellular receptor (RBS), and it is the major target of neutralizing antibody responses post-infection. We developed llama-derived single chain antibody fragments (VHHs) specific for type A influenza virus. Four VHHs were identified and further characterized. VHH D81 bound residues in the proximity of the C-terminal region of HA1 of H1 and H5 subtypes, and showed weak neutralizing activity, whereas VHH B33 bound residues in the proximity of the N-terminal region of the HA's stem domain (HA2) of H1, H5, and H9 subtypes, and showed no neutralizing activity. Of most relevance, VHHs E13 and G41 recognized highly conserved conformational epitopes on the H1 HA's globular domain (HA1) and showed high virus neutralizing activity (ranging between 0.94 to 0.01μM), when tested against several human H1N1 isolates. Additionally, E13 displayed abrogated virus replication of a panel of H1N1 strains spanning over 80 years of antigenic drift and isolated from human, avian, and swine origin. Interestingly, E13 conferred protection in vivo at a dose as low as 0.05 mg/kg. Mice treated with E13 intranasally resulted in undetectable virus challenge loads in the lungs at day 4 post-challenge. The transfer of sterilizing pan-H1 immunity, by a dose in the range of micrograms given intranasally, is of major significance for a monomeric VHH and supports the further development of E13 as an immunotherapeutic agent for the mitigation of influenza infections. [ABSTRACT FROM AUTHOR]

China has the largest pig herd in the world which accounts for more than 50% of the global pig population. Over the past three decades, the porcine reproductive and respiratory syndrome virus (PRRSV) has caused significant economic loss to the Chinese swine industry. Currently, the prevalent PRRSV strains in the field are extremely complicated, and the NADC30-like strains, NADC34-like strains, and novel recombinant viruses have become a great concern to PRRS control in China. In this study, a novel NADC30-like PRRSV, named GS2022, was isolated from the lung of a dead pig collected from a farm that experienced a PRRS outbreak. The complete genome of GS2022 shares the highest identity with the NADC30 strain and contains a discontinuous deletion of 131 aa in nsp2. Novel deletion and insertion have been identified in ORF7 and 3’UTR. Recombination analysis revealed that the GS2022 is a potential recombinant of NADC30-like and JXA1-like strains. Both inter-lineage and intra-lineage recombination events were predicted to be involved in the generation of the GS2022. An infectious cDNA clone of GS2022 was assembled to generate the isogenic GS2022 (rGS2022). The growth kinetics of rGS2022 were almost identical to those of GS2022. The pathogenicity of the GS2022 and rGS2022 was evaluated using a nursery piglet model. In the infection groups, the piglets exhibited mild clinical symptoms, including short periods of fever and respiratory diseases. Both gross lesions and histopathological lesions were observed in the lungs and lymph nodes of the infected piglets. Therefore, we reported a novel recombinant NADC30-like PRRSV strain with moderate pathogenicity in piglets. These results provide new information on the genomic characteristics and pathogenicity of the NADC30-like PRRSV in China. [ABSTRACT FROM AUTHOR]

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, continues to spread around the world with serious cases and deaths. It has also been suggested that different genetic variants in the human genome affect both the susceptibility to infection and severity of disease in COVID-19 patients. Angiotensin-converting enzyme 2 (ACE2) has been identified as a cell surface receptor for SARS-CoV and SARS-CoV-2 entry into cells. The construction of an experimental model system using human iPS cells would enable further studies of the association between viral characteristics and genetic variants. Airway and alveolar epithelial cells are cell types of the lung that express high levels of ACE2 and are suitable for in vitro infection experiments. Here, we show that human iPS cell-derived airway and alveolar epithelial cells are highly susceptible to viral infection of SARS-CoV-2. Using gene knockout with CRISPR-Cas9 in human iPS cells we demonstrate that ACE2 plays an essential role in the airway and alveolar epithelial cell entry of SARS-CoV-2 in vitro. Replication of SARS-CoV-2 was strongly suppressed in ACE2 knockout (KO) lung cells. Our model system based on human iPS cell-derived lung cells may be applied to understand the molecular biology regulating viral respiratory infection leading to potential therapeutic developments for COVID-19 and the prevention of future pandemics. [ABSTRACT FROM AUTHOR]

Introduction: Measles, a highly transmissible disease marked by fever and a maculopapular rash, posed a substantial threat to life in the 1960s. Nevertheless, the advent of the measles vaccine had a profound impact, significantly diminishing its toll on mortality. Similarly, through effective influenza surveillance and early epidemic warning systems, public health officials can timely identify influenza trends and provide crucial scientific support for prevention and control measures. This proactive approach holds great public health significance. Aim: To analyse the long-term trend of measles cases in Rajasthan, India, and the impact of Coronavirus Disease-2019 (COVID-19) on it, with future predictions using Auto-Regressive Integrated Moving Average (ARIMA) modelling. Materials and Methods: The present study was a retrospective, descriptive observational study in which monthly diagnosed measles cases were collected from the Measles Rubella Laboratory, Department of Microbiology, Sawai Man Singh Medical College, Jaipur, Rajasthan, India, for the period of April 2010 to April 2023. An ARIMA model was developed using data from 2010 to 2020 to predict the monthly number of measles cases in 2021. The predicted values were then compared to the actual cases in 2021 to assess the model’s accuracy. Results: Out of the total positive cases, males were slightly more prone to acquire infection than females (1734 males, 54%; 1477 females, 46%). The monthly index for new measles cases ranged from 0.11 to 2.6. It reached its lowest point in July (0.106) and August (0.25) and peaked in March (2.594) and April (1.84). The overall trend was fluctuating; however, the incidence of measles cases clearly increased after the year 2021. The difference between observed cases and predicted cases for the period of April 2020 to December 2021 was not statistically significant (t-value=0.261 and p-value=0.797). Conclusion: The fluctuating trend of measles was observed during the last decade; however, the observed cases of measles showed an upward trajectory during and after the COVID-19 outbreak. This study also highlighted the monthly index of the measles cases, which peaked in March to April and was lowest in July to August. [ABSTRACT FROM AUTHOR]

The article focuses on antiviral resistance in influenza viruses, particularly targeting matrix protein 2 (M2), neuraminidase (NA), and cap-dependent endonuclease (CEN) through direct-acting antivirals. Topics include the emergence of resistance mutations like H275Y in NA inhibitors such as oseltamivir, the global surveillance efforts by WHO-GISRS to monitor resistance.

The article focuses on the emergence of clade 2.3.4.4b avian influenza A(H5N1) in North America and its potential impact on mammalian hosts, including humans, contrasting with the susceptibility of cattle primarily to influenza D virus. Topics include the investigation into influenza virus infections among dairy cattle in Texas, where veterinary diagnostic laboratories initially explored other pathogens before considering influenza A virus as a possible cause.

The article focuses on the epidemiology and pandemic potential of clade 2.3.4.4b highly pathogenic avian influenza A(H5N1) viruses, emphasizing their widespread host expansion, reassortment with other influenza A viruses, and ability to cause severe disease in mammals, including humans and ferrets. Topics include the transmission dynamics observed in a human case in Chile, severe and fatal outcomes in ferrets following intranasal inoculation.

The article focuses on the threat posed by highly pathogenic avian influenza (HPAI) H5N1 viruses, particularly the Eurasian strain (clade 2.3.4.4b), which has caused outbreaks in North America and raised concerns due to spillover into mammals and severe human cases in Ecuador and Chile. Topics include the syndrome observed in lactating dairy cattle in Texas and neighboring regions in early 2024, characterized by reduced milk production and nonspecific clinical signs.

Aim: Pre‐admission viral screening is used only in exceptional situations such as pandemics. We therefore evaluated pre‐admission screening for severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), respiratory syncytial virus (RSV) and influenza during the COVID‐19 pandemic, comparing epidemiology and clinical features of admitted children. Methods: Children were screened at a paediatric emergency department from 1 March 2020 to 30 June 2022 by nasopharyngeal sampling and polymerase chain reaction kit. We retrospectively retrieved positive results from the laboratory and scrutinised charts of admitted children. Results: Out of 15 927 screened children, 522, 127 and 572 were positive and admitted with RSV, influenza A or SARS‐CoV‐2, respectively. Of these, 29 (5.6%), 26 (24.1%) and 245 (44.8%) were incidental findings, lacking symptoms of infection. RSV and influenza A were initially absent but re‐emerged in the autumn of 2021. The rate of COVID‐19 rose when the Omicron variant emerged in December 2021. The median age of children with RSV was 0.3 years, of those with influenza A 6.7 years and of those with COVID‐19 1.6 years. Major complications were rare. Conclusion: Frequent incidental detections of SARS‐CoV‐2 likely reflected widespread presence of a mild infection. Clinically, COVID‐19 was like other viral respiratory infections in children. [ABSTRACT FROM AUTHOR]

The vagus nerve circuit, operating through the alpha‐7 nicotinic acetylcholine receptor (α7 nAChR), regulates the inflammatory response by influencing immune cells. However, the role of vagal‐α7 nAChR signaling in influenza virus infection is unclear. In particular, does vagal‐α7 nAChR signaling impact the infection of alveolar epithelial cells (AECs), the primary target cells of influenza virus? Here, we demonstrated a distinct role of α7 nAChR in type II AECs compared to its role in immune cells during influenza infection. We found that deletion of Chrna7 (encoding gene of α7 nAChR) in type II AECs or disruption of vagal circuits reduced lung influenza infection and protected mice from influenza‐induced lung injury. We further unveiled that activation of α7 nAChR enhanced influenza infection through PTP1B‐NEDD4L‐ASK1‐p38MAPK pathway. Mechanistically, activation of α7 nAChR signaling decreased p38MAPK phosphorylation during infection, facilitating the nuclear export of influenza viral ribonucleoproteins and thereby promoting infection. Taken together, our findings reveal a mechanism mediated by vagal‐α7 nAChR signaling that promotes influenza viral infection and exacerbates disease severity. Targeting vagal‐α7 nAChR signaling may offer novel strategies for combating influenza virus infections. [ABSTRACT FROM AUTHOR]

Background and Aims: Several studies imply that influenza and other respiratory illnesses could lead to acute myocardial infarction (AMI), but data from low‐income countries are scarce. We investigated the prevalence of recent respiratory illnesses and confirmed influenza in AMI patients, while also exploring their relationship with infarction severity as defined by ST‐elevation MI (STEMI) or high troponin levels. Methods: This cross‐sectional study, held at a Dhaka tertiary hospital from May 2017 to October 2018, involved AMI inpatients. The study examined self‐reported clinical respiratory illnesses (CRI) in the week before AMI onset and confirmed influenza using baseline real‐time reverse transcription polymerase chain reaction (qRT‐PCR). Results: Of 744 patients, 11.3% reported a recent CRI, most prominently during the 2017 influenza season (35.7%). qRT‐PCR testing found evidence of influenza in 1.5% of 546 patients, with all positives among STEMI cases. Frequencies of CRI were higher in patients with STEMI and in those with high troponin levels, although these relationships were not statistically significant after adjusting for other variables. The risk of STEMI was significantly greater during influenza seasons in the unadjusted analysis (relative risk: 1.09, 95% confidence interval [CI]: 1.02–1.18), however, this relationship was not significant in the adjusted analysis (adjusted relative risk: 1.03, 95% CI: 0.91–1.16). Conclusion: In Bangladesh, many AMI patients had a recent respiratory illness history, with some showing evidence of influenza. However, these illnesses showed no significant relationship to AMI severity. Further research is needed to understand these relationships better and to investigate the potential benefits of infection control measures and influenza vaccinations in reducing AMI incidence. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has profoundly affected all aspects of our lives. Through real-time monitoring and rapid vaccine implementation, we succeeded in suppressing the spread of the disease and mitigating its consequences. Finally, conclusions can be summarized and drawn. Here, we use the example of Poland, which was seriously affected by the pandemic. Compared to other countries, Poland has not achieved impressive results in either testing or vaccination, which may explain its high mortality (case fatality rate, CFR 1.94%). Through retrospective analysis of data collected by the COVID-19 Data Portal Poland, we found significant regional differences in the number of tests performed, number of cases detected, number of COVID-19-related deaths, and vaccination rates. The Masovian, Greater Poland, and Pomeranian voivodeships, the country's leaders in vaccination, reported high case numbers but low death rates. In contrast, the voivodeships in the eastern and southern parts of Poland (Subcarpathian, Podlaskie, Lublin, Opole), which documented low vaccination levels and low case numbers, had higher COVID-19-related mortality rates. The strong negative correlation between the CFR and the percentage of the population that was vaccinated in Poland supports the validity of vaccination. To gain insight into virus evolution, we sequenced more than 500 genomes and analyzed nearly 80 thousand SARS-CoV-2 genome sequences deposited in GISAID by Polish diagnostic centers. We showed that the SARS-CoV-2 variant distribution over time in Poland reflected that in Europe. Haplotype network analysis allowed us to follow the virus transmission routes and identify potential superspreaders in each pandemic wave. [ABSTRACT FROM AUTHOR]

Infectious bursal disease (IBD) is one of the dangerous diseases of poultry that affects the bursa of Fabricius, which is an important organ of the bird’s immune system. IBD virus is resistant to many drugs, making its control difficult. Vaccination of IBD is in practice for a long time worldwide to control IBD, but secondary issues like vaccine failure and lower efficacy lead to their reduced use in the field. Multiple medicines are currently used, but the phytochemicals have emerged as promising agents for controlling IBD. The drugs to be developed should possess direct antiviral properties by targeting viral entry mechanisms, enhancing the host immune response, and inhibiting viral protein synthesis. Phytochemicals have potential to contribute to food security by minimizing the possibility of disease outbreaks and ensuring that consumers worldwide obtain healthy poultry products. It has been now claimed that direct and indirect activities of phytochemicals can be effective in the control of IBDV. Although available evidence suggest that the phytochemicals can contribute in controlling occurrence IBDV, there is a definite need of focused studies to gain more insight and develop rational strategies for their practical use. This review highlights the disease caused by IBDV, inhibition of viral replication, boosting the immune system, disruption of viral membrane, and important phytochemicals showing antiviral activities against IBDV. [ABSTRACT FROM AUTHOR]

Background: Gut microbiota (GM) have been implicated as important regulators of gastrointestinal symptom which is commonly occurred along with respiratory influenza A virus (IAV) infection, suggesting the involvement of the gut-to-lung axis in a host's response to IAV. IAV primarily destroys airway epithelium tight junctions (TJs) and consequently causes acute respiratory disease syndrome. It is known that GM and their metabolism produce an anti-influenza effect, but their role in IAV-induced airway epithelial integrity remains unknown. Methods: A mouse model of IAV infection was established. GM were analyzed using 16S rRNA gene sequencing, and short-chain fatty acids (SCFAs) levels were measured. GM depletion and fecal microbiota transplantation (FMT) were conducted to validate the role of GM in IAV infection. A pair-feeding experiment was conducted to reveal whether IAV-induced GM dysbiosis is attributed to impaired food intake. Furthermore, human bronchial epithelial (HBE) cells were cocultured with IAV in the presence or absence of acetate. TJs function was analyzed by paracellular permeability and transepithelial electronic resistance (TEER). The mechanism of how acetate affects TJs integrity was evaluated in HBE cells transfected with G protein-coupled receptor 43 (GPR43) short hairpin RNA (shRNA). Results: IAV-infected mice exhibited lower relative abundance of acetate-producing bacteria (Bacteroides, Bifidobacterium, and Akkermansia) and decreased acetate levels in gut and serum. These changes were partly caused by a decrease in food consumption (due to anorexia). GM depletion exacerbated and FMT restored IAV-induced lung inflammatory injury. IAV infection suppressed expressions of TJs (occludin, ZO-1) leading to disrupted airway epithelial barrier function as evidenced by decreased TEER and increased permeability. Acetate pretreatment activated GPR43, partially restored IAV-induced airway epithelial barrier function, and reduced inflammatory cytokines levels (TNF-α, IL-6, and IL-1β). Such protective effects of acetate were absent in HBE cells transfected with GPR43 shRNA. Acetate and GPR43 improved TJs in an AMP-activated protein kinase (AMPK)-dependent manner. Conclusion: Collectively, our results demonstrated that GM protected airway TJs by modulating GPR43-AMPK signaling in IAV-induced lung injury. Therefore, improving GM dysbiosis may be a potential therapeutic target for patients with IAV infection. [ABSTRACT FROM AUTHOR]

Background Influenza remains an important cause of hospitalizations in the United States. Estimating the number of influenza hospitalizations is vital for public health decision making. Combining existing surveillance systems through capture-recapture methods allows for more comprehensive burden estimations. Methods Data from independent surveillance systems were combined using capture-recapture methods to estimate influenza hospitalization rates for children and adults in Middle Tennessee during consecutive influenza seasons from 2016–2017 through 2019–2020. The Emerging Infections Program (EIP) identified cases through surveillance of laboratory results for hospitalized children and adults. The Hospitalized Adult Influenza Vaccine Effectiveness Network (HAIVEN) and New Vaccine Surveillance Network (NVSN) recruited hospitalized patients with respiratory symptoms or fever. Population-based influenza rates and the proportion of cases detected by each surveillance system were calculated. Results Estimated overall influenza hospitalization rates ranged from 23 influenza-related hospitalizations per 10 000 persons in 2016–2017 to 40 per 10 000 persons in 2017–2018. Adults aged ≥65 years had the highest hospitalization rates across seasons and experienced a rate of 170 hospitalizations per 10 000 persons during the 2017–2018 season. EIP consistently identified a higher proportion of influenza cases for adults and children compared with HAIVEN and NVSN, respectively. Conclusions Current surveillance systems underestimate the influenza burden. Capture-recapture provides an alternative approach to use data from independent surveillance systems and complement population-based burden estimates. [ABSTRACT FROM AUTHOR]

Background: The concurrent circulation of SARS-CoV-2 with other respiratory viruses is unstoppable and represents a new diagnostic reality for clinicians and clinical microbiology laboratories. Multiplexed molecular testing on automated platforms that focus on the simultaneous detection of multiple respiratory viruses in a single tube is a useful approach for current and future diagnosis of respiratory infections in the clinical setting. Methods: Two time periods were included in the study: from February to April 2022, an early 2022 period, during the gradual lifting of COVID-19 prevention measures in the country, and from October 2022 to April 2023, the 2022/23 respiratory infections season. We analysed a total of 1,918 samples in the first period and 18,131 respiratory samples in the second period using a multiplex molecular assay for the simultaneous detection of Influenza A (Flu-A), Influenza B (Flu-B), Human Respiratory Syncytial Virus (HRSV) and SARS-CoV-2. Results: The results from early 2022 showed a strong dominance of SARS-CoV-2 infections with 1,267/1,918 (66.1%) cases. Flu-A was detected in 30/1,918 (1.6%) samples, HRSV in 14/1,918 (0.7%) samples, and Flu-B in 2/1,918 (0.1%) samples. Flu-A/SARS-CoV-2 co-detections were observed in 11/1,267 (0.9%) samples, and HRSV/SARS-CoV-2 co-detection in 5/1,267 (0.4%) samples. During the 2022/23 winter respiratory season, SARS-CoV-2 was detected in 1,738/18,131 (9.6%), Flu-A in 628/18,131 (3.5%), Flu-B in 106/18,131 (0.6%), and HRSV in 505/18,131 (2.8%) samples. Interestingly, co-detections were present to a similar extent as in early 2022. Conclusion: The results show that the multiplex molecular approach is a valuable tool for the simultaneous laboratory diagnosis of SARS-CoV-2, Flu-A/B, and HRSV in hospitalized and outpatients. Infections with Flu-A/B, and HRSV occurred shortly after the COVID-19 control measures were lifted, so a strong reoccurrence of various respiratory infections and co-detections in the post COVID-19 period was to be expected. [ABSTRACT FROM AUTHOR]

Introduction: Avian leukosis, a viral disease affecting birds such as chickens, presents significant challenges in poultry farming due to tumor formation, decreased egg production, and increased mortality. Despite the absence of a commercial vaccine, avian leukosis virus (ALV) infections have been extensively documented, resulting in substantial economic losses in the poultry industry. This study aimed to develop alginate-chitosan composite microspheres loaded with ALV-J Gp85 protein (referred to as aCHP-gp85) as a potential vaccine candidate. Methods: Sodium alginate and chitosan were utilized as encapsulating materials, with the ALV-J Gp85 protein serving as the active ingredient. The study involved 45 specific pathogen-free (SPF) chickens to evaluate the immunological effectiveness of aCHP-gp85 compared to a traditional Freund adjuvant-gp85 vaccine (Freund-gp85). Two rounds of vaccination were administered, and antibody levels, mRNA expression of immune markers, splenic lymphocyte proliferation, and immune response were assessed. An animal challenge experiment was conducted to evaluate the vaccine's efficacy in reducing ALV-J virus presence and improving clinical conditions. Results: The results demonstrated that aCHP-gp85 induced a significant and sustained increase in antibody levels compared to Freund-gp85, with the elevated response lasting for 84 days. Furthermore, aCHP-gp85 significantly upregulated mRNA expression levels of key immune markers, notably TNF-α and IFN-γ. The application of ALV-J Gp85 protein within the aCHP-gp85 group led to a significant increase in splenic lymphocyte proliferation and immune response. In the animal challenge experiment, aCHP-gp85 effectively reduced ALV-J virus presence and improved clinical conditions compared to other groups, with no significant pathological changes observed. Discussion: The findings suggest that aCHP-gp85 elicits a strong and prolonged immune response compared to Freund-gp85, indicating its potential as an innovative ALV-J vaccine candidate. These results provide valuable insights for addressing avian leukosis in the poultry industry, both academically and practically. [ABSTRACT FROM AUTHOR]

Chicken anemia virus (CAV) is a widespread and economically significant pathogen in the poultry industry. In this study 110 samples were collected from various poultry farms in selected Egyptian provinces during 2021-2022 and were tested against CAV by Polymerase Chain Reaction (PCR), revealing 22 positive samples with 20% incidence rate. Full sequence analysis of five selected CAV strains revealed genetic variations in VP1, VP2, and VP3 genes. Phylogenetic analysis grouped the Egyptian strains with reference viruses, mainly in group II, while vaccines like Del-Rose were categorized in group III. Recombination events were detected between an Egyptian strain (genotype II) and the Del-Rose vaccine strain (genotype III), indicating potential recombination between live vaccine strains and field isolates. To evaluate pathogenicity, one Egyptian isolate (F883-2022 CAV) and Del-Rose vaccine were tested in Specific Pathogen Free (SPF) chicks. Chicks in the positive group displayed clinical symptoms, including weakness and stunted growth, with postmortem findings consistent with CAV infection. The vaccine group showed milder symptoms and less severe postmortem changes. This study provides important insights into the genetic diversity of CAV in selected Egyptian poultry farms showing recombination event between field strain and vaccine strains, highlighting the need for advanced vaccination programs, especially for broilers. [ABSTRACT FROM AUTHOR]

Purpose: Over the past decade, the Amazon basin has faced numerous infectious epidemics. Our comprehension of the actual extent of these infections during pregnancy remains limited. This study aimed to clarify the clinical and epidemiological features of emerging and re-emerging infectious diseases during pregnancy in western French Guiana and along the Maroni River over the previous nine years. Methods: This retrospective cohort study enrolled pregnant women living in west French Guiana territory and giving birth in the only local referral center after 22 weeks of gestation between 2013 and 2021. Data on symptomatic or asymptomatic biologically confirmed emerging or re-emerging diseases during pregnancy was collected. Results: Six epidemic waves were experienced during the study period, including 498 confirmed Zika virus infections (2016), 363 SARS-CoV-2 infections (2020–2021), 87 chikungunya virus infections (2014), 76 syphilis infections (2013–2021), and 60 dengue virus infections (2013–2021) at different gestational ages. Furthermore, 1.1% (n = 287) and 1.4% (n = 350) of pregnant women in west French Guiana were living with HIV and HTLV, respectively. During the study period, at least 5.5% (n = 1,371) faced an emerging or re-emerging infection during pregnancy. Conclusion: These results highlight the diversity, abundance, and dynamism of emerging and re-emerging infectious agents faced by pregnant women in the Amazon basin. Considering the maternal and neonatal adverse outcomes associated with these infections, increased efforts are required to enhance diagnosis, reporting, and treatment of these conditions. [ABSTRACT FROM AUTHOR]

This article examines the risk factors for severe influenza in children, specifically focusing on a study conducted in a tropical country. The study found that young age (<5 years) and the presence of comorbidities were associated with complicated influenza. Other factors such as abnormal vital signs, bacterial coinfections, and neurological conditions also increased the risk. The study highlights the importance of identifying these risk factors to better manage and prevent severe influenza in children. However, the study had limitations, including a lack of data on influenza vaccination status and inconsistent recording of height measurements. The authors concluded that influenza infection can lead to severe complications and mortality, particularly in patients with neurological symptoms, and emphasized the importance of vigilant care for these patients. [Extracted from the article]

Introduction: Cutaneous leishmaniasis (CL) is one of the neglected tropical diseases that affects impoverished communities throughout the world. In Pakistan CL is an endemic disease. Aims and objectives: This study aimed to determine the incidence of CL infection in the Baluchistan province of Pakistan from January 2020 to March 2022 during the COVID-19 pandemic. Methodology: A total of 1047 clinically suspected cases of CL from Bolan Medical College Hospital, Quetta, were followed up in the study. The data regarding the epidemiological characterstics, pathological information, and treatment of patients was collected. Results: Out of 1047 probable cases of CL, 594 (56.73%) cases were found to be positive for CL. Females had the highest infection rate, with the majority of reported cases being in the 0–9-year age group. Most CL cases were reported in April in the year 2020, with a few cases reported in June. But in the year 2021, the highest number of cases were reported in December. The number of overall cases has gradually increased in the year 2022, most likely because of the reduction in COVID-19 pandemic restrictions. The p value for the positive as compared to suspected cases in the years 2020, 2021, and 2022 was calculated as 0.8925, 0.8763, and 0.8535 respectively. Conclusion: Further epidemiological studies and health education campaigns are recommended to increase public awareness. It is strongly advised that local, provincial, and national health authorities establish and maintain effective leishmaniasis surveillance systems to promptly identify disease outbreaks and implement timely control measures. [ABSTRACT FROM AUTHOR]

This article explores the increasing challenges of pathogen transmission between domestic and wild animals. It emphasizes the importance of integrated research and understanding of the factors driving transmission in order to develop effective disease management strategies. The article focuses on domestic-wild mammals and diseases like animal tuberculosis and avian influenza. It highlights the need for interdisciplinary collaboration and advanced modeling techniques to enhance disease surveillance and mitigate risks. The studies discussed in the article underscore the complexity of transmission and the importance of robust surveillance systems and integrated approaches to protect animal and public health. [Extracted from the article]

During the COVID‐19 pandemic, non‐pharmaceutical interventions were introduced to reduce exposure to respiratory viruses. However, these measures may have led to an "immunity debt" that could make the population more vulnerable. The goal of this study was to examine the transmission dynamics of seasonal influenza in the years 2023–2024. Respiratory samples from patients with influenza‐like illness were collected and tested for influenza A and B viruses. The electronic medical records of index cases from October 2023 to March 2024 were analyzed to determine their clinical and epidemiological characteristics. A total of 48984 positive cases were detected, with a pooled prevalence of 46.9% (95% CI 46.3–47.5). This season saw bimodal peaks of influenza activity, with influenza A peaked in week 48, 2023, and influenza B peaked in week 1, 2024. The pooled positive rates were 28.6% (95% CI 55.4–59.6) and 18.3% (95% CI 18.0–18.7) for influenza A and B viruses, respectively. The median values of instantaneous reproduction number were 5.5 (IQR 3.0–6.7) and 4.6 (IQR 2.4–5.5), respectively. The hospitalization rate for influenza A virus (2.2%, 95% CI 2.0–2.5) was significantly higher than that of influenza B virus (1.1%, 95% CI 0.9–1.4). Among the 17 clinical symptoms studied, odds ratios of 15 symptoms were below 1 when comparing influenza A and B positive inpatients, with headache, weakness, and myalgia showing significant differences. This study provides an overview of influenza dynamics and clinical symptoms, highlighting the importance for individuals to receive an annual influenza vaccine. [ABSTRACT FROM AUTHOR]

Although a range of blood traits have been reported to be associated with influenza A(H1N1)pdm09 (H1N1pdm09) disease severity, their underlying causal relationships and biological mechanisms have remained unclear. This study aimed to investigate the causal relationship between blood traits and H1N1pdm09 using a two‐sample Mendelian randomization analysis. Based on the data from our in‐house genome‐wide association study (GWAS) on H1N1pdm09 disease severity (Ncase [severe] = 70, Ncontrol [mild] = 95) and GWAS summaries of 44 blood traits from Biobank Japan (N = 12 303–143 658), we identified the potential causal effect of blood traits on severe H1N1pdm09. The inverse variance weighted method analysis revealed significant causal effects of lower aspartate aminotransferase (AST, β = −3.212, p = 0.019), low‐density‐lipoprotein cholesterol (LDL‐C, β = −1.372, p = 0.045), and basophil counts (Baso, β = −1.638, p = 0.047) on severe H1N1pdm09 disease. Additionally, polygenic risk score analysis further confirmed genetic overlap between these blood traits and severe H1N1pdm09 disease. This study provided evidence linking the lower level of AST, LDL‐C, and lower count of Baso with severe H1N1pdm09 disease, potentially identifying new therapeutic targets for patients with severe influenza. [ABSTRACT FROM AUTHOR]

Debates surrounding the efficacy of influenza vaccination for survival benefits persist, and there is a lack of data regarding its duration of protection. A self‐controlled case series (SCCS) and a 1:4 matched case‐control study were conducted using the National Health Interview Survey (NHIS) and public‐use mortality data from 2005 to 2018 in the United States. The SCCS study identified participants who received influenza vaccination within 12 months before the survey and subsequently died within 1 year of postvaccination. The matched case‐control study paired participants who died during the influenza season at the time of survey with four survivors. Among 1167 participants in the SCCS study, there was a 46% reduction in all‐cause mortality and a 43% reduction in cardiovascular mortality within 29–196 days of postvaccination. The greatest protection was observed during days 29–56 (all‐cause mortality: RI: 0.19; 95% CI: 0.12–0.29; cardiovascular mortality: RI: 0.28; 95% CI: 0.14–0.56). Among 626 cases and 2504 controls included in the matched case‐control study, influenza vaccination was associated with a reduction in all‐cause mortality (OR: 0.74, 95% CI: 0.60–0.92) and cardiovascular mortality (OR: 0.64, 95% CI: 0.44–0.93) during the influenza season. This study highlights the importance of influenza vaccination in reducing the risks of all‐cause and cardiovascular mortality, with effects lasting for approximately 6 months. [ABSTRACT FROM AUTHOR]

Numerous factors can increase the risk of severe influenza; however, a majority of severe cases occur in previously healthy children. Identification of high‐risk children is important for targeted preventive interventions and prompt treatment. The aim of this study was to evaluate MUC5AC as a biomarker for influenza disease severity in children. For this, a prospective cohort study was conducted in 2019. Children hospitalized with acute respiratory infection (ARI) with confirmed positive influenza infection were enrolled. Influenza cases were identified by reverse transcriptase‐polymerase chain reaction. Life‐threatening disease (LTD) was defined by the need for intensive care and ventilatory support. MUC5AC, epidemiologic, and clinical risk factors were assessed. Three hundred and forty‐two patients were hospitalized with ARI, of which 49 (14%) had confirmed influenza infection and 6 (12%) of them developed LTD. MUC5AC levels were higher in those patients with mild disease compared to cases with poorer outcomes. Our results show that the severity of influenza infection in children is significantly associated with low levels of MUC5AC. These findings suggest its potential as a suitable biomarker for predicting disease severity. [ABSTRACT FROM AUTHOR]

Pregnancy heightens susceptibility to influenza A virus (IAV) infection, thereby increasing the risk of severe pneumonia and maternal mortality. It also raises the chances of adverse outcomes in offspring, such as fetal growth restriction, preterm birth, miscarriage, and stillbirth in offsprings. However, the underlying mechanisms behind these effects remain largely unknown. Syncytiotrophoblast cells, crucial in forming the placental barrier, nutrient exchange and hormone secretion, have not been extensively studied for their responses to IAV. In our experiment, we used Forskolin‐treated BeWo cells to mimic syncytiotrophoblast cells in vitro, and infected them with H1N1, H5N1 and H7N9 virus stains. Our results showed that syncytiotrophoblast cells, with their higher intensity of sialic acid receptors, strongly support IAV infection and replication. Notably, high‐dose viral infection and prolonged exposure resulted in a significant decrease in fusion index, as well as gene and protein expression levels associated with trophoblast differentiation, β‐human chorionic gonadotropin secretion, estrogen and progesterone biosynthesis, and nutrient transport. In pregnant BALB/c mice infected with the H1N1 virus, we observed significant decreases in trophoblast differentiation and hormone secretion gene expression levels. IAV infection also resulted in preterm labor, fetal growth restriction, and increased maternal and fetal morbidity and mortality. Our findings indicate that IAV infection in syncytiotrophoblastic cells can result in adverse pregnancy outcomes by altering trophoblast differentiation, suppressing of β‐hCG secretion, and disrupting placental barrier function. [ABSTRACT FROM AUTHOR]

Aflatoxins are one of the most dangerous, toxic, teratogenic, and carcinogenic residues in various foods including poultry. This study was conducted to assess the prevalence of aflatoxins in poultry meat, skin, and liver. A total of 80 random samples of different poultry carcasses were collected from 30 carcasses each of 10 fresh broiler carcasses, 10 fresh native poultry carcasses and 10 frozen broiler carcasses represented by 10 muscle samples of each fresh broiler, fresh native and frozen broiler poultry, 10 skin samples of each fresh broiler, fresh native and frozen broiler poultry, and 10 liver samples of only fresh broiler and fresh native poultry. All samples were collected from random retail shops at Beni Suef Governorate to assess the prevalence of Aflatoxins B1, B2 and G2 as well as to compare the levels of contamination among different types of products and poultry breeds. The obtained results clarified that the examined fresh broiler samples showed higher rates of contamination than those of fresh native and frozen broilers carcasses. Whereasliver samples displayed higher levels of aflatoxins when compared withmuscles and skin samples. The results were discussed from a hygienic point of view and compared with the international standards to assess their reliability for consumption. In conclusion, poultry carcasses sold in retail markets at Beni Suef governorate contain considerable levels of aflatoxins which could have some public health risks to consumers which may need further investigation to determine the safety of these products. [ABSTRACT FROM AUTHOR]

An incomplete Freund's adjuvant elicited an overt pathogenesis in vaccinated mice following the intranasal challenge of A/California/07/2009 (H1N1) virus despite the induction of a higher specific antibody titer than other adjuvanted formulations. Aluminum hydroxide adjuvants have not induced any pathogenic signs in a variety of formulations with glycolipids. A glycolipid, α-galactosyl ceramide, improved a stimulatory effect of distinct adjuvanted formulations on an anti-influenza A antibody response. In contrast to α-galactosyl ceramide, its synthetic analogue C34 was antagonistic toward a stimulatory effect of an aluminum hydroxide adjuvant on a specific antibody response. The aluminum hydroxide adjuvant alone could confer complete vaccine-induced protection against mortality as well as morbidity caused by a lethal challenge of the same strain of an influenza A virus. The research results indicated that adjuvants could reshape immune responses either to improve vaccine-induced immunity or to provoke an unexpected pathogenic consequence. On the basis of these observations, this research connotes the prominence to develop a precision adjuvant for innocuous vaccination aimed at generating a protective immunity without aberrant responses. [ABSTRACT FROM AUTHOR]

A recent article in the New England Journal of Medicine discusses the detection of avian influenza A(H5N1) virus in wastewater in ten cities. The highly pathogenic virus was detected in samples from March 4 to July 15, 2024, after not being detected in previous samples. The article suggests that wastewater monitoring can be a useful tool for surveillance and detection of viral adaptations. The origins of the virus in the wastewater are currently unknown, but multiple animal sources are suspected. [Extracted from the article]

The article discusses the avian influenza A (H7N5) outbreak and emphasizes the importance of not underestimating less famous subtypes of avian influenza. Avian influenza viruses are classified as highly pathogenic or low pathogenic based on the severity of the disease in poultry. While H7N5 is not commonly reported and has not been the center of significant outbreaks or public health concerns, continuous monitoring and research are essential to track potential mutations and the pathogenicity of these viruses. The article also highlights the need for robust surveillance, research, and preparedness strategies to mitigate the impact of highly genetically versatile viruses. [Extracted from the article]