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BACKGROUND: Pilgrims travelling to Saudi Arabia are commonly infected with respiratory viruses. Since the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) emerged in 2012, patients with acute respiratory symptoms returning from an endemic area can be suspected to be infected by this virus. METHODS: 98 patients suspected to have MERS-CoV infection from 2014 to 2019 were included in this retrospective cohort study. Upper and lower respiratory tract samples were tested by real-time RT-PCR for the detection of MERS-CoV and other respiratory viruses. Routine microbiological analyses were also performed. Patient data were retrieved from laboratory and hospital databases retrospectively. RESULTS: All patients with suspected MERS-CoV infection travelled before their hospitalization. Most frequent symptoms were cough (94.4%) and fever (69.4%). 98 specimens were tested for MERS-CoV RNA and none of them was positive. Most frequently detected viruses were Enterovirus/Rhinovirus (40/83; 48.2%), Influenzavirus A (34/90; 37.8%) and B (11/90; 12.2%), H-CoV (229E and OC43 10/83; 12% and 7/83; 8.4%, respectively). CONCLUSION: From 2014 to 2019, none of 98 patients returning from endemic areas was MERS-CoV infected. However, infections with other respiratory viruses were frequent, especially with Enterovirus/Rhinoviruses and Influenzaviruses.
ABSTRACT
Respiratory viruses are a common cause of morbidity and mortality around the world. Viruses like influenza, RSV, and most recently SARS-CoV-2 can rapidly spread through a population, causing acute infection and, in vulnerable populations, severe or chronic disease. Developing effective treatment and prevention strategies often becomes a race against ever-evolving viruses that develop resistance, leaving therapy efficacy either short-lived or relevant for specific viral strains. On June 29 to July 2, 2022, researchers met for the Keystone symposium "Respiratory Viruses: New Frontiers." Researchers presented new insights into viral biology and virus-host interactions to understand the mechanisms of disease and identify novel treatment and prevention approaches that are effective, durable, and broad.
ABSTRACT
The current pandemic linked to the emergence of SARS-CoV-2 in 2019 has considerably changed the perception of doctors of the impact of respiratory viruses and their role in community-acquired acute pneumonia (CAP). While more than 25% of CAP in adults were of viral origin, respiratory viruses were often perceived as harmless pathogens. Faced with the challenge that the microbiological documentation of a CAP still represents today, the establishment of empirical antibiotic treatment is often carried out in the emergency room. The COVID-19 pandemic has primarily highlighted the decisive role of molecular biology and chest CT in the diagnostic algorithm of CAP. Indeed, a rapid and reliable diagnosis is the key to improve isolation decisions and reducing the unnecessary prescription of antibiotics. Due to significantly different treatments, it is necessary to distinguish the viral etiology from the bacterial of a CAP. Copyright © 2022 Lavoisier. All rights reserved.
ABSTRACT
Under the strict quarantine policy imposed to combat the COVID-19 (coronavirus disease 2019) pandemic in Japan, the prevalence of respiratory infections by viruses other than SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has been largely unknown. However, such information on viral circulation is important in order to develop better management policies that are based on scientific data. Here, we retrospectively investigated respiratory virus infections in individuals who visited a community hospital with respiratory symptoms between June of 2020 and September of 2021 with the use of the BioFire FilmArray Respiratory Panel 2.1. Virus was detected in 65 out of a total of 328 subjects, with SARS-CoV-2 (67.7%), rhino/enterovirus (18.5%), and parainfluenza virus 3 (7.7%) accounting for most of the infections. No influenza virus or respiratory syncytial virus (RSV) infections were detected. The monthly cases of rhino/enterovirus infection were highest from winter to spring, with this temporal pattern differing from that of SARS-CoV-2. SARS-CoV-2 was detected more frequently (P < 0.001) in subjects with cough (31/104 cases, 29.8%) than in those without cough (13/224 cases, 5.8%), suggesting that cough might contribute to the prediction of COVID-19. Our findings also suggest that testing for rhino/enterovirus and parainfluenza virus 3, in addition to SARS-CoV-2, may be important for the rigorous diagnosis of respiratory virus infections. IMPORTANCE Influenza virus, RSV, adenovirus, and rhino/enterovirus were the major respiratory viruses before COVID-19 pandemic. Circulating respiratory viruses may have been affected by our strong quarantine policy during the COVID-19 pandemic. We checked the circulating respiratory viruses from our outpatients by using a multiplex PCR kit that had recently been released. SARS-CoV-2 was the most frequently detected virus, and it was followed by rhino/enterovirus and parainfluenza virus 3. No influenza virus or RSV infections were detected during our study period, suggesting that influenza virus and RSV became almost extinct. COVID-19 cases frequently experienced cough, and this frequency was statistically significantly higher than that observed in the cases without SARS-CoV-2 detection. The cough can be an indicator of COVID-19.
ABSTRACT
Respiratory viruses are a common cause of morbidity and mortality around the world. Viruses like influenza, RSV, and most recently SARS-CoV-2 can rapidly spread through a population, causing acute infection and, in vulnerable populations, severe or chronic disease. Developing effective treatment and prevention strategies often becomes a race against ever-evolving viruses that develop resistance, leaving therapy efficacy either short-lived or relevant for specific viral strains. On June 29 to July 2, 2022, researchers met for the Keystone symposium "Respiratory Viruses: New Frontiers." Researchers presented new insights into viral biology and virus-host interactions to understand the mechanisms of disease and identify novel treatment and prevention approaches that are effective, durable, and broad.
ABSTRACT
Respiratory virus infections are an escalating issue and have become common worldwide. Influenza and COVID-19 are typical infectious respiratory diseases, and they sometimes lead to various complications. In a situation in which no established drug or treatment exists, consumption of proper food might be beneficial in maintaining health against external infections. We studied the potential effects of mixtures of probiotic strains on various viral infections. The purpose of this study was to assess the ability of yogurt containing probiotics to reduce the risk of respiratory viruses such as influenza H1N1 and SARS-CoV-2 infection. First, we performed in vitro tests using infected Madin-Darby canine kidney (MDCK) and Vero E6 cells, to evaluate the potential effects of yogurt containing high-dose probiotics against influenza H1N1 and SARS-CoV-2 infection. The yogurt significantly reduced plaque formation in the virus-infected cells. We also performed in vivo tests using influenza H1N1-infected C57BL/6 mice and SARS-CoV-2-infected Syrian golden hamsters, to evaluate the potential effects of yogurt. Yogurt was administered orally once daily during the experimental period. Yogurt was also administered orally as pretreatment once daily for 3 wk before viral infection. Regarding influenza H1N1, it was found that yogurt caused an increase in the survival rate, body weight, and IFN-γ, IgG1, and IL-10 levels against viral infection and a decrease in the inflammatory cytokines TNF-α and IL-6. Although the SARS-CoV-2 copy number was not significantly reduced in the lungs of yogurt-treated SARS-CoV-2-infected hamsters, the body weights and histopathological findings of the lungs were improved in the yogurt-treated group. In conclusion, we suggest that consumption of yogurt containing probiotics can lead to beneficial effects to prevent respiratory viral infections.
Subject(s)
COVID-19 , Influenza A Virus, H1N1 Subtype , Influenza, Human , Probiotics , Animals , Dogs , Humans , Mice , COVID-19/veterinary , Mice, Inbred C57BL , SARS-CoV-2 , Yogurt , Disease Models, Animal , Cell LineABSTRACT
B cells play a fundamental role in host defenses against viral infections. Profiling the B cell response elicited by SARS-CoV-2 vaccination, including the generation and persistence of antigen-specific memory B cells, is essential for improving the knowledge of vaccine immune responsiveness, beyond the antibody response. mRNA-based vaccines have shown to induce a robust class-switched memory B cell response that persists overtime and is boosted by further vaccine administration, suggesting that memory B cells are critical in driving a recall response upon re-exposure to SARS-CoV-2 antigens. Here, we focus on the role of the B cell response in the context of SARS-CoV-2 vaccination, offering an overview of the different technologies that can be used to identify spike-specific B cells, characterize their phenotype using machine learning approaches, measure their capacity to reactivate following antigen encounter, and tracking the maturation of the B cell receptor antigenic affinity.
Subject(s)
COVID-19 , SARS-CoV-2 , Humans , COVID-19 Vaccines , COVID-19/prevention & control , Vaccination , ImmunityABSTRACT
BACKGROUND: Since the onset of the coronavirus disease-2019 (COVID-19) pandemic, the prevalence of respiratory infectious diseases, particularly, the flu epidemic, has considerably decreased. The low detection rate and decreased number of specimens have hindered the implementation of the Korea Influenza and Respiratory Viruses Surveillance System (KINRESS), a sentinel surveillance system. Most patients with influenza-like illness visit the COVID-19 screening clinic; therefore, the number of samples collected in sentinel surveillance has decreased by more than 50%. Thus, the Korea Disease Control and Prevention Agency supplemented sentinel surveillance with non-sentinel surveillance by private medical diagnostic centers. We report here a delayed and unprecedented high detection of human parainfluenza virus (hPIV) in the Republic of Korea during the COVID-19 pandemic through sentinel and non-sentinel surveillance. We also examined the causes and implications of the changes in prevalence of hPIV.l METHODS: We collected data for 56,984 and 257,217 samples obtained through sentinel and non-sentinel surveillance, respectively. Eight viruses were confirmed using real-time reverse transcription-polymerase chain reaction (PCR) or real-time PCR. Some specimens from the sentinel surveillance were used for genetic characterization of hPIV type 3. RESULTS: In 2020, hPIV was rarely detected; however, it was detected in August 2021. The detection rate continued to increase considerably in September and reached over 70% in October, 2021. The detection rate of hPIV3 was significantly higher in infants and preschoolers aged 0-6 years in both sentinel and non-sentinel surveillance. Detection of hPIV was delayed in metropolitan areas compared to that in suburban regions. The hemagglutinin-neuraminidase sequences of hPIV3 generated in 2021 were not distinct from those detected prior to the COVID-19 pandemic. CONCLUSIONS: The operation of non-sentinel and sentinel surveillance to monitor respiratory viruses could sensitively detect an unprecedented revival of hPIV in the Republic of Korea during the COVID-19 pandemic.
Subject(s)
COVID-19 , Coronavirus , Influenza, Human , Respiratory Tract Infections , Infant , Humans , Pandemics , Influenza, Human/epidemiology , COVID-19/diagnosis , COVID-19/epidemiology , Parainfluenza Virus 1, Human , Parainfluenza Virus 2, HumanABSTRACT
INTRODUCTION: We investigated the performance of the cobas® 6800 system and cobas SARS-CoV-2 & Influenza A/B, a fully automated molecular testing system for influenza viruses and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This enabled an assay in a batch of 96 samples in approximately 3 h. METHODS: An assay was performed using the cobas SARS-CoV-2 & Influenza A/B on the cobas 6800 system for samples collected in four facilities between November 2019 and March 2020 in our previous study. The results were compared with those obtained using the reference methods. RESULTS: Of the 127 samples analyzed, the cobas SARS-CoV-2 & Influenza A/B detected influenza A virus in 75 samples, of which 73 were positive using the reference methods. No false negative results were observed. The overall positive and negative percent agreement for influenza A virus detection were 100.0% and 96.3%, respectively. There were no positive results for the influenza B virus or SARS-CoV-2. CONCLUSION: The cobas 6800 system and cobas SARS-CoV-2 & Influenza A/B showed high accuracy for influenza A virus detection and can be useful for clinical laboratories, especially those that routinely assay many samples.