2022
DOI: 10.1093/cid/ciac472
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Multiplex Detection of Antibody Landscapes to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/Influenza/Common Human Coronaviruses Following Vaccination or Infection With SARS-CoV-2 and Influenza

Abstract: Background SARS-CoV-2 and influenza viruses continue to co-circulate, representing two major public health threats from respiratory infections with similar clinical presentations. SARS-CoV-2 and influenza vaccines can also now be co-administered. However, data on antibody responses to SARS-CoV-2 and influenza co-infection, and vaccine co-administration remains limited. Methods We developed a 41-plex antibody immunity assay th… Show more

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Cited by 4 publications
(3 citation statements)
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“…Recent evidence, albeit from a small number of studies [ 41 ] indicates that individuals with SARS-CoV-2 and FLUAV co-infection have higher odds of developing more severe respiratory failure and mortality compared to patients infected with either SARS-CoV-2 or FLUAV alone. Although the global burden of SARS-CoV-2 and FLUAV co-infection is still emerging, the paucity of mechanistic data related to biology of co-infection by SARS-CoV-2 and FLUAV poses a major barrier in understanding the rate of transmission, clinical outcomes, disease severity, and development of new therapeutics [ 1 , 2 ] as we enter into the next influenza season. Various immortalized cell lines have been widely used to understand the infection biology and tropism of SARS-CoV-2 or FLUAV.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent evidence, albeit from a small number of studies [ 41 ] indicates that individuals with SARS-CoV-2 and FLUAV co-infection have higher odds of developing more severe respiratory failure and mortality compared to patients infected with either SARS-CoV-2 or FLUAV alone. Although the global burden of SARS-CoV-2 and FLUAV co-infection is still emerging, the paucity of mechanistic data related to biology of co-infection by SARS-CoV-2 and FLUAV poses a major barrier in understanding the rate of transmission, clinical outcomes, disease severity, and development of new therapeutics [ 1 , 2 ] as we enter into the next influenza season. Various immortalized cell lines have been widely used to understand the infection biology and tropism of SARS-CoV-2 or FLUAV.…”
Section: Discussionmentioning
confidence: 99%
“…The ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection continues to pose a serious threat to public health even after high vaccination coverage globally. This is largely contributed by infection in unvaccinated individuals and reinfections in naturally infected or vaccinated individuals by circulating variants of SARS-CoV-2 [ 1 , 2 ] due to the waning of immunity. It has been one of the deadliest pandemics in history, with more than 759 million confirmed cases of COVID-19, including 6.8 million deaths [ 3 ] as of 11th March 2023.…”
Section: Introductionmentioning
confidence: 99%
“…As an efficient strategy to prevent pandemic, influenza vaccines are recommended for citizens; however, only ∼70% of older people (>65 years old) and 50% of children (6–18 years old) received vaccines in the US for the 2015–2016 season . In order to control the spread, various methods have been developed for influenza virus detection, which mainly involves hemagglutination assays, cytopathic effect assays, virus antigen tests, nucleic acid identification, , and antibody detection. As the gold-standard diagnostic test for virus infection, quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) has been widely used for screening and diagnosing; however, the PCR technique is a time-consuming and laboratory-based detection strategy, due to the temperature cycling. Because antibodies appears in the serum a few days later than the virus infection, so antibody detecion cannot satisfy the necessity of early detection . Therefore, it is important to develop rapid and accurate approaches for influenza virus detection.…”
mentioning
confidence: 99%