Upper respiratory tract is the primary site of SARS-CoV-2 replication. Releasing of pro and anti-inflammatory mediators plays an important role in the immunopathogenesis of Coronavirus Disease 2019 (COVID-19). The aim of this study was to evaluate the early inflammatory response in upper airway by measuring of IFN-γ, TGF-β1 and RANTES at mRNA level. Forty five SARS-CoV-2 infected patients were enrolled, whose were divided in two groups: asymptomatic and symptomatic. Twenty healthy persons, SARS-CoV-2 negative were included as controls. Higher IFN-γ expression was detected in SARS-CoV-2 infected patients in comparison with controls (
p
= 0.0393). IFN-γ expression was increased in symptomatic patients (
p
= 0.0405). TGF-β1 and RANTES expressions were lower in SARS-CoV-2 infected patients than controls (
p
< 0.0001; p = 0.0011, respectively). A significant correlation between IFN-γ and TGF-β1 was observed in SARS-CoV-2 asymptomatic patients (r = +0.61,
p
= 0.0014). The findings suggest that imbalance between IFN-γ and TGF-β1 expression could be an impact in clinical expression of SARS-CoV-2 infection.
The influenza A(H1N1)pdm09 virus was detected in Cuba in May 2009. The introduction of a new virus with increased transmissibility into a population makes surveillance of the pandemic strain to the molecular level necessary. The aim of the present study was the molecular and phylogenetic analysis of pandemic influenza A(H1N1)pdm09 strains that circulated in Cuba between May 2009 and August 2010. Seventy clinical samples were included in the study. Nucleotide sequences from the hemagglutinin HA1 region segment were obtained directly from clinical samples. Genetic distances were calculated using MEGA v.5.05. A phylogenetic tree was constructed using MrBayes v.3.1.2 software. Potential N-glycosylation sites were predicted using NetNGlyc server 1.0. The 48 Cuban sequences of influenza A(H1N1)pdm09 obtained were similar to the A/California/07/2009 (H1N1) vaccine strain. Most of the Cuban strains belonged to clade 7. Cuban viruses showed amino acid changes, some of them located at three antigenic sites: Ca, Sa, and Sb. Two dominant mutations were detected: P83S (100%) and S203T (85.7%). Glycosylation site analysis revealed the gain of one site at position 162 in 13 sequences. The findings in this study contribute to our understanding of the progress of the influenza A(H1N1)pdm09 virus, since this virus is at the starting point of its evolution in humans.
One of the challenges for control and prevention of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is the early diagnostic at the point of care.Several tests based on qualitative antigen detection have been developed; one of these is Elecsys SARS-CoV-2 Antigen immunoassay (Roche Diagnostics). In total, 523 nasopharyngeal swabs were randomly selected with the aims to evaluate sensitivity, specificity, cross-reactivity, positive and negative predictive value (PPV, NPV), and agreement of Elecsys SARS-CoV-2 Antigen immunoassay using reverse transcriptionpolymerase chain reaction (RT-PCR) STAT-NAT ® coronavirus disease-2019 as reference test. Cross-reactivity was estimated using samples positive by RT-PCR to other respiratory viruses (influenza virus, parainfluenza virus, rhinovirus, coronavirus OC43, and HKU1). The overall sensitivity of Elecsys SARS-CoV-2 Antigen was 89.72% (288/321); specificity was 90.59% (183/202); and cross-reactivity to other respiratory viruses were not detected. Elecsys SARS-CoV-2 Antigen immunoassay showed a high sensitivity in samples with cycle threshold value <30, which ranged from 92.81% to 95.40%, independently of symptoms. PPV and NPV were 93.81% and 84.72%, respectively. The κ coefficient was 0.79 (95% confidence interval: 0.73-0.84), showing substantial agreement between both tests. The results suggest Elecsys SARS-CoV-2 Antigen immunoassay could be used as an alternative to RT-PCR testing, or in complement with it, to identify infectious individuals and reduce SARS-CoV-2 transmission.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.