Abstract:Respiratory syncytial virus is the leading cause of serious lower respiratory disease in young children throughout the world. An estimated 3.4 million children younger than 5 years of age are hospitalized each year with severe respiratory syncytial virus (RSV) lower respiratory tract infection, with the highest incidence in children younger than 6 months of age. Up to 200,000 deaths occur annually, with most deaths occurring in children younger than 1 year of age and in developing-country settings (1). Unfortu… Show more
“…Several candidate respiratory syncytial virus and parainfluenza virus vaccines are in various stages of clinical evaluation, [55][56][57][58][59] and assessing the effect of vaccine-induced immune responses in the context of continued viral evolution and the subsequent potential for vaccine escape will be an essential consideration when determining the annual vaccine composition.…”
Section: Antiviral Drug and Vaccine Developmentmentioning
“…Several candidate respiratory syncytial virus and parainfluenza virus vaccines are in various stages of clinical evaluation, [55][56][57][58][59] and assessing the effect of vaccine-induced immune responses in the context of continued viral evolution and the subsequent potential for vaccine escape will be an essential consideration when determining the annual vaccine composition.…”
Section: Antiviral Drug and Vaccine Developmentmentioning
“…Over 60 new candidate RSV vaccines and monoclonal antibodies are currently in various stages of clinical trials [20, 25, 28–30]. Future effectiveness studies will benefit from a more precise estimate of prevaccine RSV circulation, made possible by PCR testing.…”
Background
In the United States, the seasonality of respiratory syncytial virus (RSV) has traditionally been defined on the basis of weeks during which antigen-based tests detect RSV in >10% of specimens (hereafter, the “10% threshold”). Because molecular testing has become more widely used, we explored the extent of polymerase chain reaction (PCR)–based RSV testing and its impact on determining the seasonality of RSV.
Methods
We assessed antigen- and PCR-based RSV reports submitted to the National Respiratory and Enteric Virus Surveillance System during July 2005–June 2015. To characterize RSV seasons by using PCR-based reports, we assessed the traditional 10% threshold; subsequently, we developed 3 methods based on either PCR-based detections or the percentage of positive test results.
Results
The annual number of PCR-based reports increased 200-fold during 2005–2015, while the annual number of antigen-based reports declined. The weekly percentage of specimens positive for RSV by PCR was less than that for antigen-detection tests; accordingly, the 10% threshold excluded detections by PCR and so was imprecise for characterizing RSV seasons. Among our PCR-specific approaches, the most sensitive and consistent method captured 96%–98% of annual detections within a season, compared with 82%–94% captured using the traditional method.
Conclusions
PCR-based reports are increasingly relevant for RSV surveillance and determining the seasonality of RSV. These PCR-specific methods provide a more comprehensive understanding of RSV trends, particularly in settings where testing and reporting are most active. Diagnostic practices will vary by locality and should be understood before choosing which method to apply.
“…Progress is being made with vaccine development with encouraging results reported for live-attenuated and subunit approaches. 2 RSV is member of the Orthopneumovirus genus within the family Pneumoviridae. 3 It is an enveloped virus with a negative-sense ssRNA genome of ~15 200 nucleotides (nt) in length.…”
Background: Human respiratory syncytial virus (RSV) is classified into antigenic subgroups A and B. Thirteen genotypes have been defined for RSV-A and 20 for RSV-B, without any consensus on genotype definition.
Methods: We evaluated clustering of RSV sequences published in GenBank untilFebruary 2018 to define genotypes by using maximum likelihood and Bayesian phylogenetic analyses and average p-distances.
Results:We compared the patterns of sequence clustering of complete genomes; the three surface glycoproteins genes (SH, G, and F, single and concatenated); the ectodomain and the 2nd hypervariable region of G gene. Although complete genome analysis achieved the best resolution, the F, G, and G-ectodomain phylogenies showed similar topologies with statistical support comparable to complete genome.Based on the widespread geographic representation and large number of available G-ectodomain sequences, this region was chosen as the minimum region suitable for RSV genotyping. A genotype was defined as a monophyletic cluster of sequences with high statistical support (≥80% bootstrap and ≥0.8 posterior probability), with an intragenotype p-distance ≤0.03 for both subgroups and an intergenotype p-distance ≥0.09 for RSV-A and ≥0.05 for RSV-B. In this work, the number of genotypes was reduced from 13 to three for RSV-A (GA1-GA3) and from 20 to seven for RSV-B (GB1-GB7). Within these, two additional levels of classification were defined: subgenotypes and lineages. Signature amino acid substitutions to complement this classification were also identified.
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