Literature DB >> 27365054

Comparison of norovirus genogroup I, II and IV seroprevalence among children in the Netherlands, 1963, 1983 and 2006.

Janko van Beek1,2, Miranda de Graaf2, Ming Xia3, Xi Jiang3, Jan Vinjé4, Mathias Beersma1, Erwin de Bruin1,2, David van de Vijver1, Melle Holwerda2, Marlies van Houten5, Annemarie M Buisman2, Rob van Binnendijk2, Albert D M E Osterhaus1, Fiona van der Klis2, Harry Vennema2, Marion P G Koopmans2,1.   

Abstract

Noroviruses are a major cause of acute gastroenteritis worldwide and are a genetically diverse group of viruses. Since 2002, an increasing number of norovirus outbreaks have been reported globally, but it is not clear whether this increase has been caused by a higher awareness or reflects the emergence of new genogroup II genotype 4 (GII.4) variants. The hypothesis that norovirus prevalence has increased post-2002 and is related to the emergence of GII.4 is tested in this study. Sera collected from children aged <5 years of three Dutch cross-sectional population based cohorts in 1963, 1983 and 2006/2007 (n=143, n=130 and n=376, respectively) were tested for specific serum IgG by protein array using antigens to GII.4 and a range of other antigens representing norovirus GI, GII and GIV genotypes. The protein array was validated by paired sera of norovirus infected patients and supernatants of B-cell cultures with single epitope specificity. Evidence for norovirus infection was found to be common among Dutch children in each cohort, but the prevalence towards different genotypes changed over time. At the genogroup level, GI seroprevalence decreased significantly between 1963 and 2006/2007, while a significant increase of GII and, in particular, specific antibodies of the genotype GII.4 was detected in the 2006/2007 cohort. There were no children with only GII.4 antibodies in the 1963 cohort. This study shows that the high GII.4 norovirus incidence in very young children is a recent phenomenon. These findings are of importance for vaccine development and trials that are currently focusing mostly on GII.4 viruses.

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Year:  2016        PMID: 27365054      PMCID: PMC5042128          DOI: 10.1099/jgv.0.000533

Source DB:  PubMed          Journal:  J Gen Virol        ISSN: 0022-1317            Impact factor:   3.891


Introduction

Noroviruses belong to the family Caliciviridae and are a major cause of acute gastroenteritis in outbreaks and sporadic cases for all age groups worldwide (Ahmed ). Noroviruses are genetically highly diverse positive-stranded RNA viruses that can be divided into six genogroups (G), with a seventh genogroup that has been recently proposed (Vinjé, 2015). Viruses of GI, GII and GIV are known to cause diarrhoeal disease in humans. The genogroups are further divided into approximately 40 genotypes based on their phylogenetic clustering (Kroneman ). The lack of a robust cell culture system for norovirus has hampered the development of serological assays to study the impact of individual norovirus genotypes on the population. To be able to measure the immune response to norovirus infection, ELISA assays based on virus-like particles (VLPs) produced through expression of the viral capsid protein (VP1) have been developed, but these assays cannot distinguish exposure to different genotypes due to high levels of cross-reactivity (Rockx ). As a surrogate for virus neutralization assays, assays have been developed to measure antibodies that block the binding of noroviruses to histo-blood group antigens (Harrington ). These assays eliminate cross-reactivity observed in ELISA assays with VLPs, but are not suitable for population studies since they are difficult to standardize, time- consuming and need large quantities of serum and VLPs. The VP1 consists of a conserved shell (S) domain and the more variable P domain that contains all immunogenic sites. Upon expression of the norovirus P domain P particles will be formed, which are very stable and immunologically relevant, but which contain less cross-reactive epitopes owing to the absence of the conserved S-domain, as evidenced from comparative immunization studies in mice, will be formed (Tamminen ; Tan ). Since the start of norovirus surveillance in the mid-1990s, genogroup II genotype 4 (GII.4) has been the predominant genotype across the globe, responsible for 62 % of outbreaks and the majority of endemic illnesses (Ahmed ; Siebenga ; Verhoef ). The norovirus GII.4 epidemiology has similarities to that of influenza A viruses, with new antigenic variants emerging every 2–3 years that replace the previously established variant and herd immunity as the main evolutionary driving force (Lindesmith ; Siebenga ). Since the mid-1990s, six GII.4 variants with pandemic spread have been recognized: US95/96, Farmington Hills 2002, Hunter 2004, Den Haag 2006b, New Orleans 2009 and Sydney 2012 (Eden ). Little is known about the genetic diversity of the norovirus before the mid-1990s since molecular techniques were not available then and historical faecal collections are exceedingly rare. To our knowledge only one study has looked at the GII.4 molecular epidemiology before 1996 and has found GII.4 only in 9 of 48 (18.8 %) faecal samples collected between 1974 and 1991 (Boon ). Since the appearance of the GII.4 Farmington Hills 2002 variant, an increasing number of norovirus outbreaks have been reported compared with previous years, but it is not clear whether this increase has been caused by a higher awareness or is an effect of the advancement of the emergence of antigenic drift variants of GII.4 or other evolutionary effects leading to increased fitness of these viruses at the population level (Lopman ; Siebenga ). Therefore, we wanted to test the hypothesis that the emergence of predominant GII.4 viruses have been driving the increased norovirus burden since 2002. Sera from children under the age of 5 years were selected from three cross-sectional population-based serum cohorts collected in 1963, 1983 and 2006/2007 and tested with a novel multiplex protein array to detect antibody responses to individual norovirus genotypes. Sera of young children were chosen to measure the impact of exposure to noroviruses in the first years of life. The protein array was validated using polyclonal rabbit sera, pre- and post-sera of norovirus infected individuals, and supernatants of B-cell cultures with single epitope specificity.

Results

Array specificity

A novel multiplex norovirus P particle protein array was developed to help measure norovirus genotype-specific antibodies. First, the specificity of the newly developed array was confirmed using polyclonal sera of two rabbits immunized with VP1 protein from GII.4 and GIV, respectively. Both the GII.4 and GIV rabbit sera reacted with high signal with the homologous antigen without significant cross-reaction with the heterologous antigens (data not shown). Next, we tested pre- and post-infection sera of four norovirus reverse transcriptase (RT-PCR) confirmed patients infected with GII.4 Den Haag 2006b, GII.4 New Orleans 2009, GII.3 and GI.6, respectively (Table 1, Figure S1, available in the online Supplementary Material). All patients showed a more than fourfold increase with the homologous antigen showing that P particles in the array platform remain intact and are recognized by norovirus antibodies in patients. The pre-infection sera of three patients (Table 1 patients B, C and D) already showed reactivity, which was most likely caused by previous infections as expected, since noroviruses are one of the most common infections during childhood. Antibody responses in the three GII infected patients (Table 1 patients A, B and C) were exclusively observed in the case of GII antigens, in particular, the homologous antigen, with low levels of cross-reactivity or boosting of previous infections with heterologous GII antigens. The serum sample of the GI.6 infected patient (Table 1 patient D) showed a specific GI.6 reaction and did not bind to the heterologous GI and GII antigens.
Table 1.

Antibody titres (95 % confidence interval) in pre- and post-infection sera

PatientPre/post-infectionDays relative to day of onsetInfecting genotypeGI.1GI.2GI.6GI.8GII.3GII.4GII.9
APre−32Unknown history20202020202020
APost52GII.4 Den Haag 2006b20202020411 (331–491)5120909 (710–1107)
BPre−3Unknown history2020316 (281–352)20202020
BPost46GII.4 New Orleans 20092020145 (120–171)2086 (72–101)5120554 (495–613)
CPre−1Unknown history20202020136 (120–151)2020
CPost13GII.3202020202481 (2058–2904)191 (165–217)249 (223–275)
DPre−4Unknown history125 (93–158)87 (81–94)100 (90– 110)2020250 (222–278)63 (56–70)
DPost46GI.62020553 (491–615)2020127 (105–149)20

Quality control

Using a positive control serum, consisting of pooled human sera, we determined that the average intra-assay coefficient of variation (CV) for antibodies to individual P particle antigens was 9.0 % (range 6.2–13.7 %) and average CV inter-assay variation 25.7 % (range 16.9–36.0 %). The VLP GIV was not included in this analysis since the human control serum was not reactive to this antigen. The potential degradation of antibodies over time was monitored by comparing the magnitude of titres among cohorts. High antibody titres against individual antigens were observed in all three cohorts, indicating that the serum antibodies were not degraded (Fig. S2).

Potential cross-reactivity of antibodies towards the antigens on the array

Sera of children below 5 years of age (n=649) were assessed for potential cross-reactivity patterns using the Spearman correlation coefficient and plotting of log-transformed titres between each possible antigen pair (Fig. 1). Antibodies directed to antigens belonging to different genogroups typically did not show significant cross-reactivity in this age group, with a low correlation coefficient ranging from 0.01 to 0.27. Within a genogroup, some cross-genotype antibody reactivity was observed with correlation coefficients for heterotypic antibody reactivity ranging between 0.52 and 0.67. This pattern was not consistent among the sera, indicating that cross-reactive patterns are complex, reflecting large individual variability rather than a primary technical cause.
Fig. 1.

Multiple scatterplot log-transformed titres of children <5 years (n=649) to determine potential cross-reactive patterns among P particle antigens on the protein array platform. In the top right triangle Spearman correlation coefficients are plotted between each antigen pair, with significant numbers being highlighted by enlargement.

Multiple scatterplot log-transformed titres of children <5 years (n=649) to determine potential cross-reactive patterns among P particle antigens on the protein array platform. In the top right triangle Spearman correlation coefficients are plotted between each antigen pair, with significant numbers being highlighted by enlargement.

B-cell supernatants with single epitope specificity

The observation that the sera of some of the young children were reactive to multiple antigens raised the question whether these children were already infected with multiple norovirus genotypes, or their sera contained cross-reactive antibodies, or both. Paired sera of 40 children obtained at 9 and 10 years of age were screened on the protein array for the presence of broadly reacting serum antibody profiles. Two donors with a broad serum profile were selected and B-cells of these donors were polyclonally stimulated to become antibody secreting cells (ASC). Limiting dilution was carried out to create multiple cultures with single epitope specificity. B-cell supernatants were tested on the array to dissect the serological profiles of both donors, using limiting dilution to select for single B-cell clones per well (Baas ; Pinna ). Bulk cultures were first tested and all these cultures reacted with one or multiple antigens, confirming the serological reactivity observed in the sera of these children. For donor 1, only 2 of 14 (14.3 %) pools containing 8000 cells each were positive and both positive clones had single genotype specificity to genotype GII.3 (Table 2). Donor 2 did not meet the clonal criteria as 9 of 16 (56 %) pools showed positive reaction to one or multiple norovirus antigens. Some supernatants showed broad GI reactivity, suggesting either the presence of a broadly reactive epitope, or mixed B-cell populations. Subsequent testing of individual supernatants' pool 12 and 13 confirmed reactivity to multiple genotypes within GI, as only 1 of 8 cultures harboured reactivity to norovirus antigens, indicating that these reactivities were caused by a broadly reactive epitope. However, in both donors, multiple clones with single genotype specificity were also obtained, with GII.3 the only reactive supernatant in donor 1, and GI.6- and GII.4-specific supernatants in donor 2, showing that technically, the array can measure genotype-specific human antibodies.
Table 2.

B-cell supernatant profiles of two donors with a broadly reacting serum profile

Symbols −, +, ++, +++ represent, respectively, a fluorescent signal of 0–500, 501–5 000, 5 001–30 000, >30 000 RFU.

DonorCellsGI.1GI.2GI.6GI.8GII.3GII.4GII.9
Pools 1–1218000
Pool 1318000+
Pool 1418000+++
Pools 1–724000
Pool 824000++
Pool 924000++
Pool 1024000+
Pool 1124000+
Pool 1224000+++++++++++
 Pool 12 Culture 1–72500
 Pool 12 Culture 82500+++++++++++
Pool 1324000+++++
 Pool 13 Culture 1–72500
 Pool 13 Culture 82500++++
Pool 1424000+++
Pool 1524000+++
Pool 1624000++++++++

B-cell supernatant profiles of two donors with a broadly reacting serum profile

Symbols −, +, ++, +++ represent, respectively, a fluorescent signal of 0–500, 501–5 000, 5 001–30 000, >30 000 RFU.

Seroprevalence

Next, the seroprevalence against different norovirus genotypes in children <5 years (n=649) was determined. Based on a pilot experiment with the sera of children <1 year of age, a cut-off for positive samples was set at titre 40 (data not shown). The overall norovirus IgG seroprevalence has not significantly changed over time with 69.2 %, 70.0 % and 65.4 % being seropositive for at least one genotype in 1963, 1983 and 2006/2007, respectively (Table 3, chi-squared test for trend, P value=0.3307). In children below 1 year of age, seroprevalence was already at a high level in 1963 and 1983 (72.0 % and 70.0 %, respectively), likely reflecting maternal antibodies. In the 2006/2007 cohort the seroprevalence for this age category was significantly lower (42.7 %). More than half of the children were already seropositive by the second year of life, increasing to 85.3, 75.9 and 85.0 % at age 4 in 1963, 1983 and 2006/2007, respectively.
Table 3.

Age stratified number of sera tested and percentage of sera with reactivity to any norovirus antigen

196319832006/2007
Age group(years)n sera testedSera norovirus positive (%)n sera testedSera norovirus positive (%)n sera testedSera norovirus positive (%)
<12572.02070.011042.7
1 to <23250.02356.55764.9
2 to <32572.03467.67463.5
3 to <42766.72479.27585.3
4 to <53485.32975.96085.0
Total14369.213070.037665.4
Interestingly, however, substantial differences were observed when breaking the reactivity down to genogroups and genotypes. At the genogroup level, GI seroprevalence dropped over time while the prevalence of GII antibodies increased (Fig. 2a). GIV prevalence was much higher in the first cohort, with 30.8 % in 1963 compared with 3.1 % and 8.2 % in 1983 and 2006/2007. Stratified by age, the highest GI seroprevalence decrease was seen among children of age <1 year and 2 years, while the largest GII increase was seen among children of 1 and 3 years (Fig. 2b, c). Seroprevalence for GIV was significantly higher in all age years in 1963 compared with cohort 1983 and 2006/2007 (Fig. 2d). All four tested GI genotypes showed a significant reduction in seroprevalence over time, while the increase in GII antibodies was primarily caused by an increased reactivity to GII.3 and GII.4 antigens (Fig. 3a). The antigen with highest seroreactivity was GI.2 in 1963, GII.9 in 1983 and GII.4 in 2006/2007.
Fig. 2.

Comparison of norovirus seroprevalence (n=649) stratified to cohort and genogroup (a). Age-related seroprevalence (n=649) stratified to cohort for norovirus genogroup I (b), genogroup II (c) and genogroup IV (d). Error bars indicate binomial proportion confidence intervals (Wilson score interval). Brackets above bars show significance level as determined by chi-squared test for trend. No bracket =P>0.05, *P≤0.05, **P≤0.01, ***P≤0.001 and ****P ≤0.0001.

Fig. 3.

Comparison of norovirus seroprevalence (n=649) stratified to cohort and genotype (a). Age-related broadening of the norovirus immune response (n=649) (b). Comparison of norovirus seroprevalence in sera (n=157) with single response stratified to cohort and genotype (c). Error bars indicate binomial proportion confidence intervals (Wilson score interval). Brackets above bars show significance level as determined by chi-squared test for trend. No bracket = P>0.05, *P≤0.05, **P≤0.01, ***P≤0.001 and ****P≤0.0001.

Comparison of norovirus seroprevalence (n=649) stratified to cohort and genogroup (a). Age-related seroprevalence (n=649) stratified to cohort for norovirus genogroup I (b), genogroup II (c) and genogroup IV (d). Error bars indicate binomial proportion confidence intervals (Wilson score interval). Brackets above bars show significance level as determined by chi-squared test for trend. No bracket =P>0.05, *P≤0.05, **P≤0.01, ***P≤0.001 and ****P ≤0.0001. Comparison of norovirus seroprevalence (n=649) stratified to cohort and genotype (a). Age-related broadening of the norovirus immune response (n=649) (b). Comparison of norovirus seroprevalence in sera (n=157) with single response stratified to cohort and genotype (c). Error bars indicate binomial proportion confidence intervals (Wilson score interval). Brackets above bars show significance level as determined by chi-squared test for trend. No bracket = P>0.05, *P≤0.05, **P≤0.01, ***P≤0.001 and ****P≤0.0001.

Broadening of immune response by increasing age

The multiplex composition of the protein array platform enabled the simultaneous detection of norovirus antibodies to various genotypes and allowed us to measure the age-related broadening of the norovirus immune response (Fig. 3b). Using a cut-off of 40, the sera were stratified into three groups: sera without reactivity to any norovirus antigen, sera with reactivity to a single antigen only and sera with multiple reactivity. A clear age-related increase in sera with multiple responses was observed, while the proportion of sera with monospecific responses remained stable (P value chi-squared test for trend among multiple, monospecific and non-responders, respectively: <0.0001, <0.6981 and <0.0001).

Monospecific responses

To eliminate false positives due to the presence of broadly reactive antibodies, 157 sera from children with antibodies limited to a single antigen were analysed separately (Table 4, Fig. 3c). Interestingly, GII.4 antibodies were not detected as a unique profile in the 1963 cohort, whereas they constituted 19.4 % of monospecific sera in 1983 and were predominant with 58.5 % in 2006/2007 indicating a dramatic increase of antibodies to GII.4, or a closely related genotype, over time. Furthermore, among antigens tested, GI.2 was predominant in 1963 and GII.9 was predominant in 1983.
Table 4.

Genotype distribution within positive sera with single antigen response

CohortGI.1GI.2GI.6GI.8GII.3GII.4GII.9GIV.1Total
n%n%n%n%n%n%n%n%n%
196326.31031.3515.626.313.100.0412.5825.032100
198326.5412.913.239.713.2619.41445.200.031100
2006/200733.21617.000.011.199.65558.566.444.394100

Discussion

In this cross-sectional population study the norovirus seroprevalence was investigated among children <5 years of age from whom serum was collected in 1963, 1983 or 2006/2007. The results show that norovirus has been a common and widespread infection among Dutch children, at least since 1963, with no indication of an increase in the overall seroprevalence. This confirms prior studies using ELISA or related assays based on recombinant VLPs in China, Finland, India, Japan, Korea, Spain and the UK, although quite some variation in seroprevalence rates were observed by geographic location and sample year, which may be due, in part, to a lack of assay standardization (Carmona-Vicente ; Kobayashi ; Menon ; Nurminen ; Son ). It has been hypothesized that the emergence of GII.4 has resulted in a large increase of norovirus outbreaks since 2002 (Lopman ; Siebenga ). Therefore, we assessed exposure to individual norovirus genotypes using a novel protein array. The validation experiments showed that a person’s serological profile may contain a mixture of genotype-specific and broadly-reactive antibodies with cross genogroup reactivity, although clear discriminatory serological profiles were obtained on looking at post-infection sera. This pattern is in agreement with the higher correlations found between antibodies and antigens of the same genogroup compared to that with antigens from different genogroups. Based on these observations, we concluded that the study design allows conclusions based on antibody trends by genogroup and genotype, although for the latter, the potential for cross-reactive antibodies needs to be considered when interpreting the results. Our study shows that – despite similar overall seroprevalence – the exposure histories shifted drastically over the period studied, and that the seroprevalence of GII.4 has indeed significantly increased over the last decades, with concomitant reduction in exposure to GI and GIV noroviruses. In theory, the low GII.4 seroprevalence in the 1963 and 1983 cohort could be caused by a mismatch between circulating GII.4 variants and the antigen used in our assay (GII.4 US95/96 antigen). This is however unlikely, as sera from patients infected with recent GII.4 variants bound efficiently to the GII.4 US95/96 variant antigen. Therefore, we conclude that the most likely explanation for the observed shift in norovirus exposure is that it reflects true epidemiological changes. The absence of sera from the 1963 cohort that only reacted to GII.4 suggests that either GII.4 viruses were not circulating, or that exposure to this genotype occurred at an older age. Based on these data alone, we cannot draw conclusions on the clinical impact of these shifts in exposure. All norovirus genotypes are associated with diarrhoeal disease, but GII.4 strains are believed to be more transmissible in healthcare settings, also cause more severe disease and are strongly associated with the seasonal patterns in reporting (Desai ; Siebenga ). The combination of the GII.4 variant pandemics, the association between GII.4 and more severe symptoms, and the high GII.4 infection rates among very young children shown in this study, could potentially explain the increase of norovirus disease reports since 2002. A potential bias in this study is that young children have not yet build up an immune response against norovirus and therefore are likely susceptible to any strain with matching receptor specificity, while adults have already been exposed multiple times to norovirus. Conclusions based on the seroprevalence among young children can therefore not be one-to-one translated to adults. We also observed broadening of the antibody profile in young children with increasing age, and reactivity to antigens representing genotypes that are rarely found in the Dutch national molecular surveillance. While we cannot rule out that this broadening of antibody profile reflects asymptomatic infections, another explanation is that these effects are caused by high-affinity antibodies directed against shared epitopes on the P domain of VP1, produced by B-cells that undergo somatic hypermutation and clonal selection upon multiple exposures to different genotypes. Although most conserved epitopes are found on the S domain of VP1, the B-cell supernatants in this study and studies with mAbs have shown that the P domain contains conserved epitopes as well (Shiota ). An important question is whether such antibodies influence the susceptibility to subsequent infection, as has been observed with the discovery of broadly reactive non-haemagglutination inhibition antibodies in influenza A (Wrammert ). The shifting of antibody profiles for the different cohorts shows that a GI genotype was dominant in 1963 and a GII, other than GII.4, in 1983, which may indicate that multiple dominant genotype switches have taken place before the predominance of GII.4 viruses. Although the overall norovirus seroprevalence did not change over the years in this study, it seems likely that genotype replacements may have concurred with a temporary increase in outbreak activity as is seen with GII.4 variant replacements (van Beek ). Further studies are warranted to measure the effect of changes in the norovirus epidemiology on the norovirus incidence in the population and related costs for the society. The first norovirus vaccine candidates have been tested in clinical trials and have been shown to curb severity of disease after a challenge with a homologous strain, which may be helpful to reduce hospital admissions in vulnerable patient populations and associated costs (Bernstein ). Field efficacy, cross-protection to drifted variants and heterologous genotypes, efficacy in various age groups and duration of protection needs to be evaluated in future studies. Most importantly, however, our data suggests that special attention needs to be paid to the potential for updating the vaccine composition following changes in the norovirus epidemiology. Current vaccine candidates are based on the norovirus epidemiology associated with the dominance of GII.4, but with the recent emergence of GII.17 in Asia, the vaccine candidates may need to be updated (de Graaf ). Continued surveillance and a better understanding of norovirus epidemiology is essential knowledge for an optimal vaccine design.

Methods

Antigens.

Norovirus P particles were used as antigens since they antigenically resemble native virions and can be produced in Escherichia coli expression systems at relatively low costs as described (Jiang ; Tan & Jiang, 2005). Furthermore, P particles only contain the highly variable protruding (P) domain of the viral capsid protein (VP1), lack the more conserved S domain and, therefore, contain less cross-reactive epitopes, as evidenced by comparative immunization studies in mice (Tamminen ). A GIV.1 VLP produced in insect cells was added to include antigens from all human genogroups. Since GIV is genetically not closely related to other human genogroups we did not expect cross-reactivity between these VLP and the P particles representing genotypes of GI and GII. We selected antigens representing common and rare genotypes as detected by the Noronet sequence database (Table S1, available in the online Supplementary Material) (http://www.noronet.nl).

Norovirus protein microarrays for multiplex serology.

Purified P particles and VLPs were diluted in protein array buffer (Maine Manufacturing) and protease inhibitor (BioVision), with final concentration of 1 mg ml−1 (determined by checkerboard titration, data not shown). Proteins were spotted in triplicate with two 333 pL spots onto 64-pad nitrocellulose-coated slides (Oncyte avid, Grace bio-labs) using a non-contact Piezorray spotter (PerkinElmer) as described previously (Koopmans ). Slides were incubated with Blotto blocking buffer (Thermo Fisher Scientific) to avoid non-specific nitrocellulose binding, and subsequently with serial fourfold diluted human sera starting at a 1 : 40 dilution. Rabbit sera and B-cell supernatants were tested at a single dilution (1 : 20 for rabbit sera, 1 : 8 for B-cell supernatant pools and 1 : 4 for individual cultures). After washing, slides were incubated with goat anti-human IgG or anti-rabbit IgG (Fc-fragment specific), conjugated with Alexa Fluor 647 fluorescent dye (Jackson Immuno Research). Bound dye was quantified using a ScanArray Gx Plus microarray scanner (PerkinElmer).

Assay validation samples.

Two rabbit polyclonal sera from animals immunized with recombinant norovirus GII.4 Den Haag 2006b or GIV VP1 protein (Immune Technology) were tested on the protein array to confirm that antigens remain intact on the platform and to test homologous versus heterologous antigen reactivity. Pre- and post-infection sera of RT-PCR confirmed norovirus patients were used for assay validation. These patients were infected with GII.4 Den Haag 2006b, GII.4 New Orleans 2009, GII.3 or GI.6, respectively (ages 5, 47, 17 and 12 years). Use of the sera for assay validation was approved by the Erasmus MC medical ethical committee (MEC2013-082). Further validation of the array platform was performed by using sera (n=40, storage at −20 °C) and PBMCs (storage at −135 °C) obtained from two donors (10 years) who were sampled for a study on the memory immunity to Bordetella pertussis (ISRCTN64117538).

Quality control.

The intra- and inter-assay variation was monitored by testing a serial diluted positive control serum consisting of pooled human sera reacting with high norovirus titre to antigens belonging to genogroup I and II. Samples tested on slides with a positive control deviating more than one twofold dilution step from the geometric mean titre were rejected from analysis. For the intra-assay variation, the positive control serum was tested 16 times on a single slide and to determine the inter-assay variation, the control serum was tested 44 times on multiple slides within 13 weeks. The quality of the GIV VLP was tested with a rabbit control serum (data not shown).

B-cell supernatants with single epitope specificity.

B-cell supernatants with single epitope specificity were used to test the specificity of the protein array platform. B-cells were isolated, stimulated and cultured in a limiting dilution assay with a slightly adjusted protocol as described before (Baas ). Briefly, PBMC were isolated within 24 h after venepuncture and stored at −135 °C for further use. The EasySep™ Human CD19 positive selection kit and EasySep magnet (Stemcell Technologies) were used to isolate the B-cells from the PBMC population. Purified B-cells were counted and re-suspended in 96-well round bottom tissue culture plates with each well containing 500, 1000 or 4000 B-cells. Gamma irradiated CD40L-expressing murine fibroblast L cells were added in a concentration of 500 cells per well and 3 µg ml−1 CpG ODN2006 (Isogen Life Sciences), 10 ng ml−1IL-2 (Miltenyi Biotec) and 10 ng ml−1 IL-10 (BD Pharmingen) was added to promote cell division and ASC outgrowth. After 5 days of incubation at 37 °C culture medium was refreshed and cytokines were replaced by 10 ng ml−1 IL-2 and 10 ng ml−1 IL-21 (Invitrogen) to promote antibody production. Supernatants were harvested after 11–12 days, stored at −20 °C, and in vitro IgG production was tested by total IgG ELISA (data not shown). Supernatants were subsequently tested against multiple antigens representing GI and GII genotypes on the protein array platform.

Study samples.

A total of 649 serum samples from children <5 years of age collected in 1963, 1983 and 2006/2007 were included in the study, with n=143, n=130 and n=376, respectively (Table 3). The sera collected in 1963 and 1983 were obtained from a Dutch historical anonymous collection of serum samples, which had been collected for diagnostic purposes (not specifically for acute gastroenteritis), and stored at −20 °C since then at Erasmus MC, Rotterdam (Masurel & Mulder, 1966). The sera collected between February 2006 and June 2007 were obtained from a Dutch population-based cross-sectional serosurvey (van der Klis ). The study was approved by the Medical Ethics Committee, Almere (ISRCTN 20164309).

Data and statistical analysis.

Serum titres were computed by fitting a four-parameter log-logistic curve to 12 luminescence readouts (four dilutions, each antigen tested in triplicate), using the point of inflection as titre, as described (Koopmans ). A fixed minimum fluorescent signal of 3000 was chosen to reduce background reactivity and a fluorescent signal of 65 535 was used as fixed maximum readout. Titres below the minimum dilution were set to a value half of the reciprocal of the minimal dilution and titres above the highest dilution were set to a value of two times the reciprocal of the highest serum dilution. Data of B-cell supernatants is shown as fluorescent signal (relative fluorescence units, RFU) with the background signal subtracted since the supernatants were tested at a single dilution. Data analyses and statistical analysis were performed using R version 3.0.3. The chi-squared test for trend was performed to examine differences in seroprevalence rates between age groups and cohorts. A P value ≤0.05 was considered to be significant. The Spearman correlation coefficient was used to assess potential cross-reactivity patterns between antibody titres detected against multiple norovirus genotypes.
  34 in total

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5.  Norovirus infections and seroprevalence of genotype GII.4-specific antibodies in a Spanish population.

Authors:  Noelia Carmona-Vicente; Manuel Fernández-Jiménez; Juan M Ribes; Carlos J Téllez-Castillo; Parisá Khodayar-Pardo; Jesús Rodríguez-Diaz; Javier Buesa
Journal:  J Med Virol       Date:  2015-04       Impact factor: 2.327

6.  Recombination within the pandemic norovirus GII.4 lineage.

Authors:  John-Sebastian Eden; Mark M Tanaka; Maciej F Boni; William D Rawlinson; Peter A White
Journal:  J Virol       Date:  2013-03-27       Impact factor: 5.103

7.  Proposal for a unified norovirus nomenclature and genotyping.

Authors:  Annelies Kroneman; Everardo Vega; Harry Vennema; Jan Vinjé; Peter A White; Grant Hansman; Kim Green; Vito Martella; Kazuhiko Katayama; Marion Koopmans
Journal:  Arch Virol       Date:  2013-04-25       Impact factor: 2.574

8.  Increase in viral gastroenteritis outbreaks in Europe and epidemic spread of new norovirus variant.

Authors:  Ben Lopman; Harry Vennema; Evelyne Kohli; Pierre Pothier; Alicia Sanchez; Anabel Negredo; Javier Buesa; Eckart Schreier; Mark Reacher; David Brown; Jim Gray; Miren Iturriza; Chris Gallimore; Blenda Bottiger; Kjell-Olof Hedlund; Maria Torvén; Carl-Henrik von Bonsdorff; Leena Maunula; Mateja Poljsak-Prijatelj; Janet Zimsek; Gábor Reuter; György Szücs; Béla Melegh; Lennart Svennson; Yvonne van Duijnhoven; Marion Koopmans
Journal:  Lancet       Date:  2004-02-28       Impact factor: 79.321

9.  Immunogenetic mechanisms driving norovirus GII.4 antigenic variation.

Authors:  Lisa C Lindesmith; Martina Beltramello; Eric F Donaldson; Davide Corti; Jesica Swanstrom; Kari Debbink; Antonio Lanzavecchia; Ralph S Baric
Journal:  PLoS Pathog       Date:  2012-05-17       Impact factor: 6.823

10.  Comparison of age-stratified seroprevalence of antibodies against norovirus GII in India and the United Kingdom.

Authors:  Vipin Kumar Menon; Santosh George; Farah Aladin; Sameena Nawaz; Rajiv Sarkar; Ben Lopman; James J Gray; Miren Iturriza Gomara; Gagandeep Kang
Journal:  PLoS One       Date:  2013-02-21       Impact factor: 3.240

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  14 in total

1.  Norovirus-specific immunoglobulin A in breast milk for protection against norovirus-associated diarrhea among infants.

Authors:  Hannah Karen Mina Labayo; Monica J Pajuelo; Kentaro Tohma; Lauren A Ford-Siltz; Robert H Gilman; Lilia Cabrera; Holger Mayta; Gerardo J Sanchez; Anniuska Toledo Cornejo; Caryn Bern; Clyde Dapat; Tomonori Nochi; Gabriel I Parra; Hitoshi Oshitani; Mayuko Saito
Journal:  EClinicalMedicine       Date:  2020-10-05

2.  Application of a salivary immunoassay in a prospective community study of waterborne infections.

Authors:  Andrey I Egorov; Shannon M Griffin; Honorine D Ward; Kevin Reilly; G Shay Fout; Timothy J Wade
Journal:  Water Res       Date:  2018-05-23       Impact factor: 11.236

3.  Molecular epidemiology of norovirus infections in children with acute gastroenteritis in 2017-2019 in Tianjin, China.

Authors:  Yulian Fang; Yanzhi Zhang; Hong Wang; Ouyan Shi; Wei Wang; Mengzhu Hou; Lu Wang; Jinying Wu; Yu Zhao
Journal:  J Med Virol       Date:  2021-10-01       Impact factor: 20.693

4.  Genotype diversity and molecular evolution of noroviruses: A 30-year (1982-2011) comprehensive study with children from Northern Brazil.

Authors:  Jones Anderson Monteiro Siqueira; Renato da Silva Bandeira; Darleise de Souza Oliveira; Liann Filiphe Pereira Dos Santos; Yvone Benchimol Gabbay
Journal:  PLoS One       Date:  2017-06-12       Impact factor: 3.240

5.  Asymptomatic norovirus infection associated with swimming at a tropical beach: A prospective cohort study.

Authors:  Timothy J Wade; Swinburne A J Augustine; Shannon M Griffin; Elizabeth A Sams; Kevin H Oshima; Andrey I Egorov; Kaneatra J Simmons; Tarsha N Eason; Alfred P Dufour
Journal:  PLoS One       Date:  2018-03-28       Impact factor: 3.240

6.  The First Norovirus Longitudinal Seroepidemiological Study From Sub-Saharan Africa Reveals High Seroprevalence of Diverse Genotypes Associated With Host Susceptibility Factors.

Authors:  Lucy Thorne; Angela Nalwoga; Alexander J Mentzer; Alexis de Rougemont; Myra Hosmillo; Emily Webb; Margaret Nampiija; Allan Muhwezi; Tommy Carstensen; Deepti Gurdasani; Adrian V Hill; Manj S Sandhu; Alison Elliott; Ian Goodfellow
Journal:  J Infect Dis       Date:  2018-07-24       Impact factor: 5.226

7.  In Depth Breadth Analyses of Human Blockade Responses to Norovirus and Response to Vaccination.

Authors:  Joel Haynes; Virginia Perry; Evelyn Benson; Alisa Meeks; Gayle Watts; Heather Watkins; Ralph Braun
Journal:  Viruses       Date:  2019-04-26       Impact factor: 5.048

8.  Molecular epidemiology of genogroup II norovirus infections in acute gastroenteritis patients during 2014-2016 in Pudong New Area, Shanghai, China.

Authors:  Caoyi Xue; Lifeng Pan; Weiping Zhu; Yuanping Wang; Huiqin Fu; Chang Cui; Lan Lu; Sun Qiao; Biao Xu
Journal:  Gut Pathog       Date:  2018-02-23       Impact factor: 4.181

9.  Norovirus strain types found within the second infectious intestinal diseases (IID2) study an analysis of norovirus circulating in the community.

Authors:  John P Harris; Miren Iturriza-Gomara; David J Allen; Susan Kelly; Sarah J O'Brien
Journal:  BMC Infect Dis       Date:  2019-01-25       Impact factor: 3.090

10.  Removal of bacterial and viral indicator organisms in full-scale aerobic granular sludge and conventional activated sludge systems.

Authors:  Mary Luz Barrios-Hernández; Mario Pronk; Hector Garcia; Arne Boersma; Damir Brdjanovic; Mark C M van Loosdrecht; Christine M Hooijmans
Journal:  Water Res X       Date:  2019-12-26
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