Literature DB >> 36225856

Clinical and biological consequences of respiratory syncytial virus genetic diversity.

Estefany Rios Guzman1,2, Judd F Hultquist3,1,2.   

Abstract

Respiratory syncytial virus (RSV) is one of the most common etiological agents of global acute respiratory tract infections with a disproportionate burden among infants, individuals over the age of 65, and immunocompromised populations. The two major subtypes of RSV (A and B) co-circulate with a predominance of either group during different epidemic seasons, with frequently emerging genotypes due to RSV's high genetic variability. Global surveillance systems have improved our understanding of seasonality, disease burden, and genomic evolution of RSV through genotyping by sequencing of attachment (G) glycoprotein. However, the integration of these systems into international infrastructures is in its infancy, resulting in a relatively low number (~2200) of publicly available RSV genomes. These limitations in surveillance hinder our ability to contextualize RSV evolution past current canonical attachment glycoprotein (G)-oriented understanding, thus resulting in gaps in understanding of how genetic diversity can play a role in clinical outcome, therapeutic efficacy, and the host immune response. Furthermore, utilizing emerging RSV genotype information from surveillance and testing the impact of viral evolution using molecular techniques allows us to establish causation between the clinical and biological consequences of arising genotypes, which subsequently aids in informed vaccine design and future vaccination strategy. In this review, we aim to discuss the findings from current molecular surveillance efforts and the gaps in knowledge surrounding the consequence of RSV genetic diversity on disease severity, therapeutic efficacy, and RSV-host interactions.
© The Author(s), 2022.

Entities:  

Keywords:  clinical outcomes; genetic diversity; genotype; molecular surveillance; respiratory syncytial virus; therapeutic design; whole-genome sequencing

Year:  2022        PMID: 36225856      PMCID: PMC9549189          DOI: 10.1177/20499361221128091

Source DB:  PubMed          Journal:  Ther Adv Infect Dis        ISSN: 2049-9361


  162 in total

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Journal:  Am J Hyg       Date:  1957-11

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Journal:  J Virol       Date:  1989-11       Impact factor: 5.103

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Journal:  Emerg Infect Dis       Date:  2021-06       Impact factor: 6.883

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Authors:  Rémi Villenave; Dara O'Donoghue; Surendran Thavagnanam; Olivier Touzelet; Grzegorz Skibinski; Liam G Heaney; James P McKaigue; Peter V Coyle; Michael D Shields; Ultan F Power
Journal:  Virol J       Date:  2011-01-27       Impact factor: 4.099

6.  RSV glycoprotein and genomic RNA dynamics reveal filament assembly prior to the plasma membrane.

Authors:  Daryll Vanover; Daisy V Smith; Emmeline L Blanchard; Eric Alonas; Jonathan L Kirschman; Aaron W Lifland; Chiara Zurla; Philip J Santangelo
Journal:  Nat Commun       Date:  2017-09-22       Impact factor: 14.919

7.  Characterization of human respiratory syncytial virus (RSV) isolated from HIV-exposed-uninfected and HIV-unexposed infants in South Africa during 2015-2017.

Authors:  Hui Liu; Bin Lu; David E Tabor; Andrey Tovchigrechko; Deidre Wilkins; Hong Jin; Shabir A Madhi; Nasiha Soofie; Mark T Esser; Marta C Nunes
Journal:  Influenza Other Respir Viruses       Date:  2020-03-03       Impact factor: 4.380

8.  Differential proteomic analysis of children infected with respiratory syncytial virus.

Authors:  Gen-Quan Yin; Hui-Xuan Zeng; Zi-Long Li; Chen Chen; Jia-Yong Zhong; Mi-Si Xiao; Qiang Zeng; Wen-Hui Jiang; Pei-Qiong Wu; Jie-Min Zeng; Xiao-Yin Hu; Huan-Hui Chen; Hai-Jin Zhao; Lin Gao; Cong Liu; Shao-Xi Cai
Journal:  Braz J Med Biol Res       Date:  2021-02-26       Impact factor: 2.590

9.  SARS-CoV-2 has displaced other seasonal respiratory viruses: Results from a prospective cohort study.

Authors:  Stephen Poole; Nathan J Brendish; Tristan W Clark
Journal:  J Infect       Date:  2020-11-15       Impact factor: 6.072

10.  Decreased human respiratory syncytial virus activity during the COVID-19 pandemic in Japan: an ecological time-series analysis.

Authors:  Keita Wagatsuma; Iain S Koolhof; Yugo Shobugawa; Reiko Saito
Journal:  BMC Infect Dis       Date:  2021-08-03       Impact factor: 3.090

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