Estimation of Human Norovirus Infectivity from Environmental Water Samples by In Situ Capture RT-qPCR Method

Tian, Peng; Yang, David; Lei, Shan; Li, Qianqian; Liu, Danlei; Wang, Dapeng

doi:10.1007/s12560-017-9317-1

Cited by 29 publications

(11 citation statements)

References 43 publications

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“…In future studies, the HIE model could be used to validate the performance of alternative and more affordable methods such as in situ capture RT-qPCR (Tian et al, 2018;Falcó et al, 2019) and viability RT-qPCRs (Randazzo et al, 2016;Chen et al, 2020) to assess the infectivity of a given sample exposed to inactivation treatments.…”

Section: Discussionmentioning

confidence: 99%

Human Intestinal Enteroids to Evaluate Human Norovirus GII.4 Inactivation by Aged-Green Tea

et al. 2020

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Human noroviruses are the leading cause of epidemic and sporadic acute gastroenteritis worldwide and the most common cause of foodborne illness in the United States. Several natural compounds, such as aged-green tea extract (aged-GTE), have been suggested as ingestible antiviral agents against human norovirus based on data using murine norovirus and feline calicivirus as surrogates. However, in vitro data showing their effectiveness against infectious human norovirus are lacking. We tested the activity of aged-GTE to inhibit human norovirus in a human intestinal enteroids (HIEs) model and Tulane virus in LLC-monkey kidney (LLC-MK2) cell culture. HIE monolayers pretreated with aged-GTE at different temperatures showed complete inhibition of human norovirus GII.4 replication at concentrations as low as 1.0 mg/ml for 37°C, 1.75 mg/ml for 21°C, and 2.5 mg/ml for 7°C. In contrast, a moderate decrease in Tulane virus infectivity of 0.85, 0.75, and 0.65 log TCID 50 /ml was observed for 2.5 mg/ml aged-GTE at 37, 21, and 7°C, respectively. Our findings demonstrate that GTE could be an effective natural compound against human norovirus GII.4, while only minimally effective against Tulane virus.

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Section: Discussionmentioning

confidence: 99%

Human Intestinal Enteroids to Evaluate Human Norovirus GII.4 Inactivation by Aged-Green Tea

et al. 2020

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“…Being able to detect infectious Tulane virus is a step forward toward a better understanding of viral persistence in oysters. This model could be used to validate potential treatments such as longer depuration time, but also other methods such as in situ capture using pig mucin or HBGA ( Tian et al, 2017 ; Randazzo et al, 2018 ), keeping in mind the ultimate goal to compare with infectious HuNoV using the model based on enteroids ( Ettayebi et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Infectivity and RNA Persistence of a Norovirus Surrogate, the Tulane Virus, in Oysters

et al. 2018

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Oysters, being filter feeders, can accumulate some human pathogens such as norovirus, a highly infectious calicivirus, most common cause of acute gastroenteritis worldwide. Accumulated virus decays over a period of days to weeks, possibly rendering contaminated oysters safe again. Sensitive molecular methods have been set up for shellfish analysis but without answering the question of infectious virus detection. Using the Tulane virus (TV), a norovirus surrogate that recognizes the same ligand as human norovirus in oyster tissues, the genome and infectious virus decay rates were estimated using inverse linear regression in a Bayesian framework for genome copies. Infectivity decreased faster than genome copies but infectious viruses were detected for several days. Quantifying the decrease in viral infectivity and genome detection in oysters over such a long period may help local authorities to manage production areas implicated in shellfish-borne outbreaks, and thus protect consumers.

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“…In this study, PGM capture increased norovirus concentrations in the nucleic acid extracts, however, no difference was observed in terms of contig lengths or diversity of identified sequences. Combining PGM and HBGA type-B antigen could have help to improve this approach (Tian et al, 2017). One beneficial impact of the PGM capture was the detection of full genome of a rotavirus genogroup A genotype G9-[P8], confirming the binding affinity of rotavirus strains to glycans (Hu et al 2018).…”

Section: Discussionmentioning

confidence: 99%

Characterization of Norovirus and Other Human Enteric Viruses in Sewage and Stool Samples Through Next-Generation Sequencing

et al. 2019

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This study aimed to optimize a method to identify human enteric viruses in sewage and stool samples using random primed next-generation sequencing. We tested three methods, two employed virus enrichment based on the binding properties of the viral capsid using pig-mucin capture or by selecting viral RNA prior to library preparation through a capture using the SureSelect target enrichment. The third method was based on a non-specific biophysical precipitation with polyethylene glycol. Full genomes of a number of common human enteric viruses including norovirus, rotavirus, husavirus, enterovirus and astrovirus were obtained. In stool samples full norovirus genome were detected as well as partial enterovirus genome. A variety of norovirus sequences was detected in sewage samples, with genogroup II being more prevalent. Interestingly, the pig-mucin capture enhanced not only the recovery of norovirus and rotavirus but also recovery of astrovirus, sapovirus and husavirus. Documenting sewage virome using these methods provides information for molecular epidemiology and may be useful in developing strategies to prevent further spread of viruses.

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Estimation of Human Norovirus Infectivity from Environmental Water Samples by In Situ Capture RT-qPCR Method

Cited by 29 publications

References 43 publications

Human Intestinal Enteroids to Evaluate Human Norovirus GII.4 Inactivation by Aged-Green Tea

Human Intestinal Enteroids to Evaluate Human Norovirus GII.4 Inactivation by Aged-Green Tea

Infectivity and RNA Persistence of a Norovirus Surrogate, the Tulane Virus, in Oysters

Characterization of Norovirus and Other Human Enteric Viruses in Sewage and Stool Samples Through Next-Generation Sequencing

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