Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 08 December 2020
Sec. Virology

Characterization of Antigenic Relatedness Among GI Norovirus Genotypes Using Serum Samples From Norovirus-Infected Patients and Mouse Sera

\r\nDongjie Xie&#x;Dongjie Xie1†Junrui Chen&#x;Junrui Chen1†Jingrong YuJingrong Yu2Fuyu PeiFuyu Pei3Mark Momoh KoromaMark Momoh Koroma2Lu WangLu Wang2Mengsi QiuMengsi Qiu2Yuzhen HouYuzhen Hou2Dexian YuDexian Yu4Xu-Fu Zhang*Xu-Fu Zhang1*Ying-Chun Dai*Ying-Chun Dai2*
  • 1School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
  • 2Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
  • 3Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, China
  • 4Guangzhou Military Command Center for Disease Control and Prevention, Guangzhou, China

Characterizing diversity and the antigenic relatedness of norovirus remains a primary focus in understanding its biological properties and vaccine designs. The precise antigenic and serological features of GI genotypes have not been studied. The study represented an investigation on a gastroenteritis outbreak related to GI.3 norovirus and the three most detected GI genotypes, GI.2 (belonging to immunotype B), GI.3 and GI.9 (belonging to immunotype C), were selected to characterize their phylogenetic relationship, HBGA binding profiles and antigenic relatedness within (intra-immunotype), and between (inter-immunotypes) genotypes using mouse sera and patient’s serum samples from the GI.3 related outbreak. Wide HBGA binding profiles and evolution of binding affinity were observed in the three GI genotypes studied. A low specific blockade antibody to GI.3 in the population generated the pool of susceptible individuals and supported virus spread in the outbreak. We found strong blockade immune response in homologous strains, moderate intra-immunotype blockade but weak inter-immunotypes blockade in humans following GI.3 norovirus infections. These findings further support the immunotypes grouping and will be valuable for optimizing the design of norovirus vaccine.

Introduction

Noroviruses (NoVs) are the most common global viral cause of acute gastroenteritis (AGE) affecting all age groups (Ahmed et al., 2014; Van Beek et al., 2018). NoVs account for a fifth (18%) of all AGE cases with annual deaths of 70,000–200,000 (Karst et al., 2015; Bányai et al., 2018). Despite the estimated global economic impact of more than $64 billion per year (Hall et al., 2013; Atmar et al., 2018), vaccine availability for prevention is still lacking. NoV related AGE usually have a short incubation period of 10–50 h, with primary symptoms of either vomiting, watery diarrhea and abundant viral shedding after infection (Atmar et al., 2018).

NoVs are non-enveloped, single-stranded positive-sense RNA viruses with a genome length of 7.5–7.7 kb and belong to the Caliciviridae family (Nilsson et al., 2003). The genomes are organized into three open reading frames (ORFs) that encode for both structural and non-structural proteins (Karst et al., 2014; Cannon et al., 2017). Of these, ORF2 encode the major structural protein, the capsid protein (VP1). VP1 consists of a highly conserved shell (S) domain and a protruding (P) domain, which is response for receptor binding and neutralizing antibodies production (Bányai et al., 2018). The P proteins is formed in vitro that retain the immunogenic and the receptor binding function (Tan et al., 2008).

Depending on the amino acid sequence of VP1, NoVs can be classified into ten genogroups (GI-GX) (Chhabra et al., 2019). Of these, genogroup I (GI) and genogroup II (GII) account for most human infections, which can be divided into at least nine (GI.1-GI.9) and 27 (GII.1-GII.27) genotypes, respectively. Though GII variants show a higher prevalence in humans with multiple NoV genotypes co-circulating (Ramani et al., 2014; Saito et al., 2014), an increase of GI NoV activity from 7.8% to 37.3% was observed in the last decade (Hasing et al., 2013). The distribution of GI variants as the most predominant strain was reported in sub-Saharan Africa with GI.7 (33%), GI.3 (21%), and GI.5 (17%) from 1993 to 2015 (Munjita, 2015). Moreover, a study investigating the prevalence and characteristics of asymptomatic NoV infection suggested GI.9, GI.2, and GI.3 accounted for 39.7% asymptomatic infection among people living around oyster farms in south China (Wang et al., 2018). A surveillance analysis of AGE cluster in Taiwan revealed 16.5% NoV positive for GI of which GI.3 was the most predominant genotypes accounting for 36.8% thus suggested a close monitor of GI.3 prevalence (Chiu et al., 2020).

NoVs use glycans of the ABH and Lewis histo-blood group antigen (HBGA) family for attachment to their target cells (Tan and Jiang, 2014). Significant genotypic and phenotypic diversity of HBGA expression exists between different human populations (Nordgren and Svensson, 2019). Several studies have demonstrated that NoV strains differ in their ability to bind HBGAs and have associated NoV susceptibility (Huang et al., 2005; Marionneau et al., 2005; Shirato et al., 2008).

Previous volunteer challenge studies have indicated a lack of protection between GI and GII (Yang et al., 2010; Swanstrom et al., 2014). Diverse NoV genotypes have been shown to re-infect children within the first 5 years of age and resulted in immunotypes or serotypes been proposed for rational NoV vaccine design (Malm et al., 2014). The known nine GI genotypes have been grouped into three immunotypes (A–C) (Parra et al., 2017). Reactivity or blockade between immunotypes is termed inter-immunotypes while reactivity or blockade within an immunotype is termed intra-immunotype. Currently, NoV evolution, host susceptibility, and serological functions primarily focus on GII genotypes (White, 2014; Currier et al., 2015; Sharma et al., 2017). However, studies on the serological correlation between GI genotypes-induced gastroenteritis protection and antigenic relatedness are limited.

In this study, the three most detected GI genotypes, GI.2 (immunotype B), GI.3 and GI.9 (immunotype C), were selected to characterize their phylogenetic relationship, HBGA binding profiles and antigenic relatedness within (intra-immunotype) and between (inter-immunotype) genotypes using mouse sera and patient’s serum samples from NoV GI.3 related outbreak.

Materials and Methods

Outbreak Investigation and Samples Collection

On 10th July 2018, an AGE outbreak occurred in Guigang City, Guangxi Province, China, with 429 individuals reported illness (Xing-Chao et al., 2019). A subset of the study samples from the large outbreak was obtained in a military setting using a questionnaire (Xing-Chao et al., 2019). Symptomatic cases were defined as individuals who experienced symptoms of at least one either episode of vomiting or diarrhea or both starting from the onset date. Asymptomatic cases were defined as those whose stool specimen or rectal swab was positive for NoVs, but who did not experience symptoms of vomiting or diarrhea (Zhang et al., 2015).

A total of 42 stool swab samples were collected, 10 out of 15 symptomatic subjects and the rest from asymptomatic individuals. Thirty-nine paired serum samples were collected, among which 15 from symptomatic individuals at both acute phase (within a week after onset date) and convalescent-phase (approximately 5 weeks after the onset date), and the remainders from asymptomatic individuals in the same setting at a parallel time.

NoV Genotyping, Sequences and Amino Acid Analysis of P Domain of Different GI NoV

The viral RNA extracted from rectal swabs was detected by one-step RT-PCR assay using GI and GII primers (Wolf et al., 2007). Further genotyping was performed with region-C-specific primers using one-step RT-PCR (Qiagen, CA, United States) (Kojima et al., 2002). The positive PCR products were sequenced and determined by NoV genotyping tool (Kroneman et al., 2011).

The P domain of the outbreak (GI.3) and GI.9 strains were amplified using primers GI.3-F: 5′-ATCGCGGATCCCAAA AGACT-3′, GI.3-R: 5′-GCATGCGGCCGCTTAGCAAAAGCAA TCGCCAC GGCAATCGCATATAC-3′, GI.9-F: 5′-TCGCGG ATCCCAAAAGACC-3′ and GI.9-R: 5′-GCATGCGGCC GCTTAGCAAAAGCAATCGCCACGGCAATCGCATACTCT-3′, respectively. The reverse primer was linked by a cysteine-containing peptide (P-CDCRGDCFC) to C-terminus, as described previously (Tan and Jiang, 2005). The P domain encoding sequences were cloned into T-vectors (Thermo Fisher, United States). The resulting variant fragments were GI.3 (the outbreak strain), GI.9 (extracted from stool sample provided by Guangdong CDC) (Wang et al., 2018) and GI.2 (accession number KF306212).

The P domain sequences of representative selected strains, together with the three strains in our study were aligned with reference strains using DNAstar 7.1, and phylogenetic trees were constructed using the neighbor-joining method (MEGA 6.0). To analyze the evolution of HBGA-binding interfaces and the surrounding regions, amino acid analysis and comparison of these regions were also conducted.

Expression of P Proteins

The cDNAs encoding the capsid P domain were cloned into the expression vector pGEX-4T-1 (Amersham Biosciences, Piscataway, NJ, United States) between BamHI and NotI sites. After sequence confirmation, P proteins were expressed in Escherichia coli following previously described procedures (Tan et al., 2008). Briefly, The BL21 cultures were initiated by 0.5 mM IPTG (isopropyl-β-D-thiogalactopyranoside) at a temperature of 22°C overnight. The recombinant P domain-GST fusion proteins were purified using Glutathione Sepharose 4 Fast Flow resin (GE Healthcare Life Sciences, NJ, United States). The GST was removed from the P proteins by thrombin (GE Healthcare Life Sciences, Princeton, NJ, United States) cleavage on beads at 22°C overnight.

Generation of Mouse Antiserum

Seven- to 8-week-old female BALB/c mice (n = 4 for each group) were subcutaneously immunized four times at two-week intervals with P proteins plus adjuvant at a volume ratio of 1:1, respectively (Invitrogen Life Technologies Carlsbad, CA, United States). An initial dose of 60 μg P proteins of each GI.2, GI.3 or GI.9 with complete Freund’s adjuvant was used, followed by three booster doses of 30 μg with incomplete Freund’s adjuvant. At the same time, the control groups received phosphate-buffered saline (PBS) with adjuvant. Blood serum samples were collected from the mice and pooled for each group. Animal experimental protocol (No. SCXK 2016-0041) was approved by the Animal Care and Ethics Committee of Southern Medical University.

HBGA Binding Profiles of GI.2, GI.3, and GI.9 NoV

A panel of saliva samples provided by volunteers with well-defined HBGA phenotypes were tested in a saliva-based HBGA-P protein-binding assay as described previously (Zhang et al., 2015). Saliva samples were boiled for 10 min at a diluted concentration of 1:1,000, then coated onto 96-well plates (Costar, Corning, CN) overnight at 4°C. After blocked with 5% non-fat milk in PBS. 5 μg/ml of P proteins was added and incubated for 1 h at 37°C. Our in-house made mice anti-GI.2, GI.3, and GI.9 NoV diluted at 1:3,000 sera were then added, followed by HRP-conjugated goat anti-mice IgG at 1:5,000. Signals were developed using a tetramethylbenzidine (TMB) substrate kit. The cut off positive signal of Optical Density 450 (OD450) was set at 0.2, negative control mean OD plus three times of standard deviation.

IgG Antibody Assay

GI.2, GI.3, and GI.9 specific IgG antibody in immunized mouse serum and human serum samples were analyzed using enzyme-linked immunosorbent assay (ELISA). Plates were coated with 0.5 μg/ml diluted P protein of GI.2, GI.3 or GI.9 overnight at 4°C. Mouse or human serum were added at twofold serial dilution starting at 1:500. Then horseradish peroxidase (HRP)-conjugated goat anti-human IgG or goat anti-mice IgG was used to detect bound NoV antibodies. The positive cut-off signal was set at 0.2 and a titer of <500 was assigned to a value of 250. Seroconversion was defined as ≥a fourfold increase in titer of the convalescent-phase serum sample compared with that of the acute-phase serum sample.

Serum Antibody Blockade Assay

Based on results of the above HBGA binding profiles testing, candidate saliva samples, Volunteer 23 (V23, phenotype: A) to GI.2 and GI.3, Volunteer 36 (V36, phenotype: O) to GI.9, demonstrating strong binding signals, were selected for HBGA blockade assay. The HBGA binding assay consisted of an additional blockade step of P proteins. The P proteins at 0.5 μg/ml were pre-incubated in twofold serial dilution (1:25 to 1:3,200) with mice antisera or human sera at 37°C and then applied to the coated saliva.

Additionally, the blockade assay with antisera from mice and the bound P proteins were detected using our in-house made guinea pig anti-NoV (immunized with mix GI.2, GI.3, and GI.9 P proteins) sera at 1:2,000, followed by HRP-conjugated goat anti-guinea pig IgG (ICN, Aurora, OH, United States). The P proteins without preincubation with a serum sample were used as a positive control that showed optical density (OD) values within the range of 1.0 ± 0.3 (Dai et al., 2017). The 50% blocking titer (BT50), was defined as the maximal dilution (in folds) of a serum sample that showed at least 50% blockade in OD compared with the positive control. A value of 12.5 was assigned to a serum sample with a BT50 < 25.

Statistical Analyses

Spearman’s rank correlation was conducted between genotype specific IgG and serum blockade titers. The correlation coefficients of genotype specific IgG antibody titers, blocking titers and increase folds were used to examine the discrepancies between different strains. The Mann–Whitney U test was used to compare increase folds of GI.3 between the symptomatic group and the asymptomatic group. Statistical analyses were conducted with IBM SPSS software version 22.0 (SPSS Inc., Chicago, IL, United States) and the statistical significance was defined as P < 0.05.

Results

Gastroenteritis Outbreak Caused by GI.3 NoV

There were 93 male soldiers in the military camp, 15 of whom reported sick with AGE on 11th July 2018. All ten samples collected from symptomatic individuals and 6 of the 32 samples (18.5%) from asymptomatic individuals were positive for GI.3 NoV. Of note, one of the symptomatic subjects (GG14) was co-infected with both GI.3 and GII.17 NoV. The basic demographics, symptoms and stool test results of these 15 symptomatic and 6 asymptomatic individuals are shown in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Basic demographics, symptoms, and rectal swabs of study population.

Phylogenetic Analysis of P Domain Sequences

A phylogenetic analysis of NS terminus in capsid protein was performed. Sixteen sequences, 10 from the symptomatic and 6 from the asymptomatic displayed 99.0–100% nucleotide identity, indicating a GI.3 NoV-related outbreak (Figure 1A). Further phylogenetic analysis of P domain sequence of GG01 isolated from the outbreak showed a closer homology with GI.9 (64.5%) than the GI.2 strain (58.7%) (Figure 1B). The outbreak virus and GI.9 virus were designated as Norovirus Hu/GI.3/Guigang 01/2018/CHN and Norovirus Hu/GI.9/Guangdong/2016/CHN, and the GenBank accession numbers as MT860989 and MT862216, respectively.

FIGURE 1
www.frontiersin.org

Figure 1. Phylogenetic tree analyses based on nucleotide sequences encoding capsid NS terminus of the outbreak strains (330 bp fragment) (A) and P domain (B). The sequences used to express P proteins in this study were marked with pentagram. The bootstrap values generated from 1,000 replicates are shown at each node.

The HBGA-Binding Interfaces of GI.2, GI.3 and GI.9 NoV

P domain (963 bp) of GI.2 corresponded to VP1-encoding Gene nucleotides (nt.) 679–1641, GI.3 (957 bp) to nt. 679–1635 and GI.9 (969 bp) to nt. 685–1653. Sequence alignment revealed evolutionarily conserved amino acids in HBGA-binding interfaces and the surrounding regions (Figure 2) with some variations. Residue differences were observed in region 1 (S/−350, Q/−351, and M/−356) respectively, in the HBGA-binding interfaces of GI.2, GI.3, and GI.9 NoVs. Additionally, one mutation of A/−400 was observed in region 2 of binding interfaces of GI.9 compared to GI.2 and GI.3. Lastly, the surrounding regions of GI.9 and GI.3 also revealed two residual differences in G/−334 and K/−355.

FIGURE 2
www.frontiersin.org

Figure 2. Comparisons of HBGA binding interfaces in green and the surrounding regions in blue of GI.2, GI.3, and GI.9 noroviruses. Substitutions of amino acid are shown in red.

The HBGA Binding Properties of GI.2, GI.3 and GI.9 NoV

The HBGA binding assay showed that all the three GI NoV could bind to A, B, AB, and O secretors and non-secretors with varying affinities. The binding affinity of GI.2 was highest for type A secretor (mean OD: 1.41 ± 0.31), as shown in Figure 3A. While the outbreak strain (GI.3), bounded more efficiently to saliva type A (mean OD: 2.77 ± 0.38), AB (mean OD: 2.51 ± 0.37), and O secretors (mean OD: 1.70 ± 0.54) than that of type B (mean OD: 0.62 ± 0.49) secretors and non-secretor (mean OD: 0.27 ± 0.31) shown in Figure 3B. However, GI.9 had good binding activities for all type A (mean OD: 1.23 ± 0.70), B (mean OD: 0.65 ± 0.49), AB (mean OD: 0.54 ± 0.23), and O (mean OD:1.65 ± 0.63) secretors and non-secretors (mean OD: 1.27 ± 0.48) (Figure 3C), but with variations in OD values (Figure 3C).

FIGURE 3
www.frontiersin.org

Figure 3. HBGA binding profiles of GI.2 (A), GI.3 (B), and GI.9 (C) P proteins to saliva samples. A panel of saliva samples with confirmed phenotypes were used for HBGA binding profiles (Zhang et al., 2015). The binding signals are determined by optical density (Y axis). At the same time, the well-characterized saliva samples of volunteers (V as abbreviated for volunteers) are shown in X-axis. Various A, B, AB, O, and N stand for blood type A, B, AB, O, and non-secretor, respectively.

Inter- and Intra-Immunotypes Cross-Reactivity and Blockade Using Mouse Hyperimmune Anti-NoV Sera

The specific IgG titers against homologous strains were the highest (Figure 4A). The IgG titers against heterologous intra-immunotype C strains (GI.3 and GI.9) were twofold to fourfold lower than that against the homologous strain. In comparison, the IgG titers against heterologous inter-immunotypes (immunotype B against immunotype C) were twofold to eightfold lower. NoV-specific IgG was not developed in the control group of mice sera (Figure 4A).

FIGURE 4
www.frontiersin.org

Figure 4. IgG titers (A) and blockade titers (B) to GI.2, GI.3, and GI.9 of the immunized mouse sera. The y-axis indicates the specific antibody titer (A) and blockade titer (B). The blue, orange, and purple bars indicate the mouse antiserum of GI.2, GI.3, and GI.9, respectively.

Similar to the specific IgG, the most potent blocking abilities were observed against homologous strains, with titer ranging from 800 to 1,600. Serum of GI.3 and GI.9 showed low blocking effect against to heterologous strains at a titer of 100. However, the serum of GI.2 failed to exert the blocking effect against GI.3 and GI.9 (Figure 4B).

Specific and Cross-Reactive IgG Antibody in Humans Following GI.3 NoV Infections

The majority of individuals (66.7%, 14/21) possessed IgG antibody titers between 1,000 and 8,000 against GI.3 (Figure 5A). Following NoV infection with the GI.3, sera in convalescent phase exhibited the strongest IgG response against homotypic GI.3 (Figure 5B), and 16 out of 21 paired sera (76.2%) exhibited seroconversion (4–64-fold increase) (Figure 5C). Heterotypic serum antibody titers against GI.9 and GI.2 were also induced. Fifteen of the 21 (71.4%) exhibited seroconversion (4–64-fold) against GI.9 and 13 out of 21 (61.9%) exhibited seroconversion (4–32-fold) in GI.2 (Figures 5B,C). There was no statistical difference for the specific IgG titer, the seroconversion rate and increased folds among the three strains. Positive correlations were detected between the increase folds of GI.3 and GI.9 (r = 0.931, P < 0.001) and between the increase folds of GI.3 and GI.2 (r = 0.914, P < 0.001). Of note, there was no significant difference of increase folds to GI.3 (P = 0.179) between the symptomatic patients and asymptomatic patients.

FIGURE 5
www.frontiersin.org

Figure 5. Serologic responses of IgG titers to GI.2, GI.3, and GI.9 of the paired human sera collected from the GI.3-related outbreak. Distribution of IgG titers at the acute phase (A), convalescent phase (B), and serological fold rises (C) among 21 individuals. The blue, orange, and purple bars indicate serologic responses to GI.2, GI.3, and GI.9, respectively.

Strong Homologous Blockade, Moderate Intra-Immunotype Blockade, but Weak Inter-Immunotypes Blockade in Humans Following GI.3 NoV Infection

Our results revealed that serum samples at acute-phase exhibited very minimal blockade, with only 9.52% (2 out of 21) showing blockade antibody titers at 50 against the outbreak strain GI.3 (Figure 6A), which indicated a low herd protective immunity at the beginning of the outbreak. However, sera at convalescent-phase displayed a noticeable rise in blocking titers (Figure 6B). Among the 16 individuals with seroconversion, blockade titers exhibited 4–64-fold increase against the GI.3 genotype, and 75% (12/16) showed a comparable 4–32-fold increase against GI.9 (Figure 6C). In contrast, only 31.25% (5/16) showed fourfold to eightfold increase against GI.2 variant (Figure 6C). Of the three, GI.3 genotype caused the most robust blocking antibody response to homologous strain; and induced a more robust response to GI.9 than that to GI.2. The results revealed strong blockade in homologous strain (GI.3), moderate intra-immunotypes (GI.9) blockade, but weak inter-immunotypes (GI.2) blockade in humans following GI.3 NoV infection.

FIGURE 6
www.frontiersin.org

Figure 6. Serologic responses of blockade titers to GI.2, GI.3, and GI.9 of the paired human sera collected from the GI.3-related outbreak. Distribution of blockade titers at the acute phase (A), convalescent phase (B), and serological fold rises (C) among 16 individuals with IgG seroconversion. The blue, orange, and purple bars indicate serologic responses to GI.2, GI.3, and GI.9, respectively.

There was also no significant correlation between specific IgG titer and BT50 of GI.3 at both the acute phase (r = 0.232; P = 0.388) and convalesce phase (r = 0.247; P = 0.357). Further analysis exhibited a positive correlation (r = 0.5323, P = 0.037) between the increase folds of BT50 of GI.3 and GI.9, In contrast, no significant correlation was exhibited between the increase folds of BT50 of GI.3 and GI.2 (r = 0.263, P = 0.324). Similarly, there was no significant difference in increase folds of blocking titers to GI.3 between the symptomatic patients and asymptomatic patients (P = 0.775).

Discussion

Characterizing the diversity and the antigenic relatedness of NoV remains a primary focus in understanding its biological properties and vaccine designs. Due to the diverse antigenic nature of NoVs, current bivalent or multivalent vaccine design is targeted to have a minimum requirement of GI and GII (Atmar and Estes, 2012; Debbink et al., 2014). While several studies have targeted antigenic diversity of predominant GII strains (Parra et al., 2012; Dai et al., 2017), only a few studies involved GI prevalent strains in natural environmental infections (Farkas et al., 2003). The precise serological and antigenic features of GI genotypes have not been studied in vitro. Also, the risk related to GI NoVs infection requires further understanding, which can be evaluated by the susceptible host range, the level of pre-existing immunity, and cross-reactivity with other circulating stains.

During July 10–14, 2018, a large GI-NoV related outbreak was reported in Guigang City due to contaminated peripheral water (Xing-Chao et al., 2019), which was consistent with most outbreaks of GI strains associated with waterborne and foodborne transmissions in a systematic review (Verhoef et al., 2015). A subset of individuals was recruited in a military setting, with the same centralized source of water supply mainly contaminated with GI.3 NoVs (Xing-Chao et al., 2019). In this study, two NoV strains belonging to immunotype C (GI.3 and GI.9) and one strain belonging to immunotype B (GI.2) (Parra et al., 2017) were selected, aiming to analyze phylogenetic relationships and HBGA binding spectra of 3 different GI genotypes to evaluate pre-existing GI.3-specific immunity at the beginning of the outbreak; and to define cross-reactivity and cross-blockade induced in naive mice and humans following GI.3 NoV infections.

Human HBGAs are an essential factor in NoV host range and also serve as a strong selection of NoV evolution (Dai et al., 2017). All the three studied GI NoV in the present study can bind to A, B, AB, and O secretors and non-secretors with some variations in binding affinity. GI.2 showed a high binding affinity to A, but weak signals to other phenotypes. Comparatively, GI.3 exhibited high affinity to A, AB and O secretors, which was concordant with r645 strain (Shirato et al., 2008). Sequence analysis revealed that GI.2 and GI.3 shared highly conserved HBGA binding interface and surrounding areas, with only one amino acid substitution (Q354/K355/E355) at the surrounding area (Figure 2), The finding is consistent with previous studies as mutations in surrounding areas result in the affinity changes (Lindesmith et al., 2008; Debbink et al., 2013; Zhang et al., 2015). Compared to GI.3, GI.9 gained a high affinity to non-secretors, but lower affinities to A and AB, which could be explained by the two mutations at the binding interface and the surrounding area. To our knowledge, the binding feature of GI.9 is firstly characterized and it shows broad-spectrum affinity to all HBGA phenotypes, which partly explain GI.9 as the highest asymptomatic NoV infection in Changsha Bay farm sites (Wang et al., 2018).

Consistent with immunotype clustering (Parra et al., 2017), GI.3 and GI.9 strains were closely related using phylogenetic analysis of P domain amino acid sequences but were less related to GI.2 strains. Following NoV infection with the GI.3, sera in convalescent phase exhibited the strongest IgG response against homotypic GI.3 with comparable titers against GI.9 and lower titer against GI.2 with no statistical difference. The seroconversion rate and strength among the three strains for the specific IgG titer and increased folds, which was also supported with the hyperimmune mice seroresponse in our study and another study (Lindesmith et al., 2010).

Parra analyses (Parra et al., 2017) suggested that most re-infections occurred with NoVs genotypes from different immunotypes but rarely within immunotype strains, suggesting complete or partial protection within an immunotype, but little to no protection between different immunotypes (Malm et al., 2014; Thorne et al., 2018). Our findings on murine serum systems showed serum of GI.2 failed to exert the blocking effect against GI.3 and GI.9. Meanwhile, the serum of GI.3 and GI.9 showed low blocking effect against all heterologous strains. These findings were consistent with a previous GI study that revealed that GI.1 VLP-immunized mouse did not produce GI.3 serum blocks, but GI.3-immunized mouse serum blocks heterologous GI.1 VLP (Malm et al., 2015).

Since human NoVs cannot effectively infect mice, they do not have pre-existing antibodies which hinder serological comparisons. Therefore, paired sera collected from NoV outbreak will afford valuable information for defining the correlation between protection and the magnitudes of pre-existing antibodies, as well as homologous and heterologous immune response. Of the selected GI NoVs immunotypes, we observed strong blockade in homologous strain, moderate blockade in intra-immunotypes but weak blockade between inter-immunotypes in humans following GI.3 NoV infections, which provided further support for Parra’s hypothesis. In the re-infection data of Parra’s study (Parra et al., 2017), they found a notable exception in immunotype G (GII.4 and GII.20), all eight re-infections were constraint within GII.4, which could be explained by re-infection with different variants of GII.4 viruses. Another exception was also observed in immunotype C (GI.3, GI.7, GI.8, and GI.9), which could be understandable as moderate blockade observed in intra-immunotype C in our finding. Meanwhile, weak blockade between inter-immunotypes B and C were observed, which was consistent with previous studies in GII NoVs (Dai et al., 2017; Karangwa et al., 2017), due to limited immune memory to former infection.

In this study, 66.7% of the infected cases showed relatively high IgG titers between 1,000 and 8,000 at the acute phase, However, only 9.52% of individuals showed low blockade antibody titers at 50 against GI.3 variant. The result revealed a low specific blockade antibody titer at the beginning of the outbreak, indicating a high proportion of susceptible individuals in the general population supports virus spread.

Previous studies showed that symptomatic individuals have greater immune system activation compared to asymptomatic individuals suggesting symptoms may be immune-mediated in norovirus infection (Newman et al., 2016). Notably, no differences of serological responses of IgG and blockade antibody between symptomatic patients and asymptomatic patients were found. A possible reason for this discrepancy may be due to the strong young soldier patients involved in our study who had strong immune system activation and response without symptoms.

In conclusion, the study represented an investigation of a gastroenteritis outbreak related to GI.3 NoV. Broad-spectrum HBGA binding profiles and evolutionary binding affinity were observed in GI.2, GI.3, and GI.9. A low specific blockade antibody in the population generated the pool of susceptible individuals and supported virus spread in the outbreak. We found strong blockade immune response in homologous strain, moderate blockade in intra-immunotypes but weak blockade between inter-immunotypes among humans following GI.3 NoV infections. These findings further support the immunotypes grouping and will be valuable for optimizing NoV vaccine design.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, MT860989 and https://www.ncbi.nlm.nih.gov/genbank/, MT862216.

Ethics Statement

The studies involving human participants were reviewed and approved by Ethics Committee, Nanfang Hospital, Southern Medical University. The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by Southern Medical University Experimental Animal Ethics Committee.

Author Contributions

DX and JC finished the experiment together and wrote the first draft and contributed equally to this work. Y-CD and X-FZ corresponding joint authors, designed and managed this study, provided project funding, and revised the manuscript. JY and FP made contributions in analyzing and interpreting data. MK, JY, and FP participated in the writing. LW helped develop methods and data analysis. MQ and YH participated in the design of the study. All authors contributed to the article and approved the submitted version.

Funding

The study was supported by the National Natural Science Foundation of China (Grant Numbers 31771007 and 81773975) and Natural Science Foundation of Guangdong Province, China (Grant Number 2019A1515010951).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Ahmed, S. M., Hall, A. J., Robinson, A. E., Verhoef, L., Premkumar, P., Parashar, U. D., et al. (2014). Global prevalence of norovirus in cases of gastroenteritis: a systematic review and meta-analysis. Lancet Infect. Dis. 14, 725–730. doi: 10.1016/s1473-3099(14)70767-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Atmar, R. L., and Estes, M. K. (2012). Norovirus vaccine development: next steps. Expert Rev. Vaccines 11, 1023–1025. doi: 10.1586/erv.12.78

PubMed Abstract | CrossRef Full Text | Google Scholar

Atmar, R. L., Ramani, S., and Estes, M. K. (2018). Human noroviruses: recent advances in a 50-year history. Curr. Opin. Infect. Dis. 31, 422–432. doi: 10.1097/qco.0000000000000476

PubMed Abstract | CrossRef Full Text | Google Scholar

Bányai, K., Estes, M. K., Martella, V., and Parashar, U. D. (2018). Viral gastroenteritis. Lancet 392, 175–186.

Google Scholar

Cannon, J. L., Barclay, L., Collins, N. R., Wikswo, M. E., Castro, C. J., Magana, L. C., et al. (2017). Genetic and epidemiologic trends of norovirus outbreaks in the United States from 2013 to 2016 demonstrated emergence of novel GII.4 recombinant viruses. J. Clin. Microbiol. 55, 2208–2221. doi: 10.1128/jcm.00455-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Chhabra, P., De Graaf, M., Parra, G. I., Chan, M. C., Green, K., Martella, V., et al. (2019). Updated classification of norovirus genogroups and genotypes. J. Gen. Virol. 100, 1393–1406. doi: 10.1099/jgv.0.001318

PubMed Abstract | CrossRef Full Text | Google Scholar

Chiu, S. C., Hsu, J. K., Hu, S. C., Wu, C. Y., Wang, Y. C., and Lin, J. H. (2020). Molecular epidemiology of GI.3 norovirus outbreaks from acute gastroenteritis surveillance system in Taiwan, 2015-2019. Biomed Res. Int. 2020:4707538.

Google Scholar

Currier, R. L., Payne, D. C., Staat, M. A., Selvarangan, R., Shirley, S. H., Halasa, N., et al. (2015). Innate susceptibility to norovirus infections influenced by FUT2 genotype in a United States pediatric population. Clin. Infect. Dis. 60, 1631–1638. doi: 10.1093/cid/civ165

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, Y. C., Xia, M., Huang, Q., Tan, M., Qin, L., Zhuang, Y. L., et al. (2017). Characterization of antigenic relatedness between GII.4 and GII.17 noroviruses by use of serum samples from norovirus-infected patients. J. Clin. Microbiol. 55, 3366–3373. doi: 10.1128/jcm.00865-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Debbink, K., Lindesmith, L. C., and Baric, R. S. (2014). The state of norovirus vaccines. Clin. Infect. Dis. 58, 1746–1752.

Google Scholar

Debbink, K., Lindesmith, L. C., Donaldson, E. F., Costantini, V., Beltramello, M., Corti, D., et al. (2013). Emergence of new pandemic GII.4 Sydney norovirus strain correlates with escape from herd immunity. J. Infect. Dis. 208, 1877–1887. doi: 10.1093/infdis/jit370

PubMed Abstract | CrossRef Full Text | Google Scholar

Farkas, T., Thornton, S. A., Wilton, N., Zhong, W., Altaye, M., and Jiang, X. (2003). Homologous versus heterologous immune responses to Norwalk-like viruses among crew members after acute gastroenteritis outbreaks on 2 US Navy vessels. J. Infect. Dis. 187, 187–193. doi: 10.1086/367809

PubMed Abstract | CrossRef Full Text | Google Scholar

Hall, A. J., Lopman, B. A., Payne, D. C., Patel, M. M., Gastanaduy, P. A., Vinje, J., et al. (2013). Norovirus disease in the United States. Emerg. Infect. Dis. 19, 1198–1205.

Google Scholar

Hasing, M. E., Lee, B. E., Preiksaitis, J. K., Tellier, R., Honish, L., Senthilselvan, A., et al. (2013). Emergence of a new norovirus GII.4 variant and changes in the historical biennial pattern of norovirus outbreak activity in Alberta, Canada, from 2008 to 2013. J. Clin. Microbiol. 51, 2204–2211. doi: 10.1128/jcm.00663-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, P., Farkas, T., Zhong, W., Tan, M., Thornton, S., Morrow, A. L., et al. (2005). Norovirus and histo-blood group antigens: demonstration of a wide spectrum of strain specificities and classification of two major binding groups among multiple binding patterns. J. Virol. 79, 6714–6722. doi: 10.1128/jvi.79.11.6714-6722.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Karangwa, C. K., Parra, G. I., Bok, K., Johnson, J. A., Levenson, E. A., and Green, K. Y. (2017). Sequential gastroenteritis outbreaks in a single year caused by norovirus genotypes GII.2 and GII.6 in an institutional setting. Open Forum Infect. Dis. 4:ofx236.

Google Scholar

Karst, S. M., Wobus, C. E., Goodfellow, I. G., Green, K. Y., and Virgin, H. W. (2014). Advances in norovirus biology. Cell Host Microbe 15, 668–680. doi: 10.1016/j.chom.2014.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Karst, S. M., Zhu, S., and Goodfellow, I. G. (2015). The molecular pathology of noroviruses. J. Pathol. 235, 206–216. doi: 10.1002/path.4463

PubMed Abstract | CrossRef Full Text | Google Scholar

Kojima, S., Kageyama, T., Fukushi, S., Hoshino, F. B., Shinohara, M., Uchida, K., et al. (2002). Genogroup-specific PCR primers for detection of Norwalk-like viruses. J. Virol. Methods 100, 107–114. doi: 10.1016/s0166-0934(01)00404-9

CrossRef Full Text | Google Scholar

Kroneman, A., Vennema, H., Deforche, K., v d Avoort, H., Penaranda, S., Oberste, M. S., et al. (2011). An automated genotyping tool for enteroviruses and noroviruses. J. Clin. Virol. 51, 121–125. doi: 10.1016/j.jcv.2011.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindesmith, L. C., Donaldson, E., Leon, J., Moe, C. L., Frelinger, J. A., Johnston, R. E., et al. (2010). Heterotypic humoral and cellular immune responses following Norwalk virus infection. J. Virol. 84, 1800–1815. doi: 10.1128/jvi.02179-09

PubMed Abstract | CrossRef Full Text | Google Scholar

Lindesmith, L. C., Donaldson, E. F., Lobue, A. D., Cannon, J. L., Zheng, D. P., Vinje, J., et al. (2008). Mechanisms of GII.4 norovirus persistence in human populations. PLoS Med. 5:e31. doi: 10.1371/journal.pmed.0050031

PubMed Abstract | CrossRef Full Text | Google Scholar

Malm, M., Tamminen, K., Lappalainen, S., Uusi-Kerttula, H., Vesikari, T., and Blazevic, V. (2015). Genotype considerations for virus-like particle-based bivalent norovirus vaccine composition. Clin. Vaccine Immunol. 22, 656–663. doi: 10.1128/cvi.00015-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Malm, M., Uusi-Kerttula, H., Vesikari, T., and Blazevic, V. (2014). High serum levels of norovirus genotype-specific blocking antibodies correlate with protection from infection in children. J. Infect. Dis. 210, 1755–1762. doi: 10.1093/infdis/jiu361

PubMed Abstract | CrossRef Full Text | Google Scholar

Marionneau, S., Airaud, F., Bovin, N. V., Pendu, J. L., and Ruvoën-Clouet, N. (2005). Influence of the combined ABO, FUT2, and FUT3 polymorphism on susceptibility to Norwalk virus attachment. J. Infect. Dis. 192, 1071–1077. doi: 10.1086/432546

PubMed Abstract | CrossRef Full Text | Google Scholar

Munjita, S. M. (2015). Current status of norovirus infections in children in sub-Saharan Africa. J. Trop. Med. 2015:309648.

Google Scholar

Newman, K. L., Moe, C. L., Kirby, A. E., Flanders, W. D., Parkos, C. A., and Leon, J. S. (2016). Norovirus in symptomatic and asymptomatic individuals: cytokines and viral shedding. Clin. Exp. Immunol. 184, 347–357. doi: 10.1111/cei.12772

PubMed Abstract | CrossRef Full Text | Google Scholar

Nilsson, M., Hedlund, K. O., Thorhagen, M., Larson, G., Johansen, K., Ekspong, A., et al. (2003). Evolution of human calicivirus RNA in vivo: accumulation of mutations in the protruding P2 domain of the capsid leads to structural changes and possibly a new phenotype. J. Virol. 77, 13117–13124. doi: 10.1128/jvi.77.24.13117-13124.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Nordgren, J., and Svensson, L. (2019). Genetic susceptibility to human norovirus infection: an update. Viruses 11:226. doi: 10.3390/v11030226

PubMed Abstract | CrossRef Full Text | Google Scholar

Parra, G. I., Abente, E. J., Sandoval-Jaime, C., Sosnovtsev, S. V., Bok, K., and Green, K. Y. (2012). Multiple antigenic sites are involved in blocking the interaction of GII.4 norovirus capsid with ABH histo-blood group antigens. J. Virol. 86, 7414–7426. doi: 10.1128/jvi.06729-11

PubMed Abstract | CrossRef Full Text | Google Scholar

Parra, G. I., Squires, R. B., Karangwa, C. K., Johnson, J. A., Lepore, C. J., Sosnovtsev, S. V., et al. (2017). Static and evolving norovirus genotypes: implications for epidemiology and immunity. PLoS Pathog. 13:e1006136. doi: 10.1371/journal.ppat.1006136

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramani, S., Atmar, R. L., and Estes, M. K. (2014). Epidemiology of human noroviruses and updates on vaccine development. Curr. Opin. Gastroenterol. 30, 25–33. doi: 10.1097/mog.0000000000000022

PubMed Abstract | CrossRef Full Text | Google Scholar

Saito, M., Goel-Apaza, S., Espetia, S., Velasquez, D., Cabrera, L., Loli, S., et al. (2014). Multiple norovirus infections in a birth cohort in a Peruvian Periurban community. Clin. Infect. Dis. 58, 483–491. doi: 10.1093/cid/cit763

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, S., Carlsson, B., Czako, R., Vene, S., Haglund, M., Ludvigsson, J., et al. (2017). Human sera collected between 1979 and 2010 possess blocking-antibody titers to pandemic GII.4 Noroviruses Isolated over Three Decades. J. Virol. 91:e00567-17.

Google Scholar

Shirato, H., Ogawa, S., Ito, H., Sato, T., Kameyama, A., Narimatsu, H., et al. (2008). Noroviruses distinguish between type 1 and type 2 histo-blood group antigens for binding. J. Virol. 82, 10756–10767. doi: 10.1128/jvi.00802-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Swanstrom, J., Lindesmith, L. C., Donaldson, E. F., Yount, B., and Baric, R. S. (2014). Characterization of blockade antibody responses in GII.2.1976 snow mountain virus-infected subjects. J. Virol. 88, 829–837. doi: 10.1128/jvi.02793-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, M., Fang, P., Chachiyo, T., Xia, M., Huang, P., Fang, Z., et al. (2008). Noroviral P particle: structure, function and applications in virus-host interaction. Virology 382, 115–123. doi: 10.1016/j.virol.2008.08.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, M., and Jiang, X. (2005). The p domain of norovirus capsid protein forms a subviral particle that binds to histo-blood group antigen receptors. J. Virol. 79, 14017–14030. doi: 10.1128/jvi.79.22.14017-14030.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, M., and Jiang, X. (2014). Histo-blood group antigens: a common niche for norovirus and rotavirus. Expert Rev. Mol. Med. 16:e5.

Google Scholar

Thorne, L., Nalwoga, A., Mentzer, A. J., De Rougemont, A., Hosmillo, M., Webb, E., et al. (2018). The first norovirus longitudinal seroepidemiological study from sub-Saharan Africa reveals high seroprevalence of diverse genotypes associated with host susceptibility factors. J. Infect. Dis. 218, 716–725. doi: 10.1093/infdis/jiy219

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Beek, J., De Graaf, M., Al-Hello, H., Allen, D. J., Ambert-Balay, K., Botteldoorn, N., et al. (2018). Molecular surveillance of norovirus, 2005–16: an epidemiological analysis of data collected from the NoroNet network. Lancet Infect. Dis. 18, 545–553. doi: 10.1016/s1473-3099(18)30059-8

CrossRef Full Text | Google Scholar

Verhoef, L., Hewitt, J., Barclay, L., Ahmed, S. M., Lake, R., Hall, A. J., et al. (2015). Norovirus genotype profiles associated with foodborne transmission, 1999-2012. Emerg. Infect. Dis. 21, 592–599. doi: 10.3201/eid2104.141073

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, A., Huang, Q., Qin, L., Zhong, X., Li, H., Chen, R., et al. (2018). Epidemiological characteristics of asymptomatic Norovirus infection in a population from oyster (Ostrea rivularis Gould) farms in southern China. Epidemiol. Infect. 146, 1955–1964. doi: 10.1017/s0950268818002212

PubMed Abstract | CrossRef Full Text | Google Scholar

White, P. A. (2014). Evolution of norovirus. Clin. Microbiol. Infect. 20, 741–745. doi: 10.1111/1469-0691.12746

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolf, S., Williamson, W. M., Hewitt, J., Rivera-Aban, M., Lin, S., Ball, A., et al. (2007). Sensitive multiplex real-time reverse transcription-PCR assay for the detection of human and animal noroviruses in clinical and environmental samples. Appl. Environ. Microbiol. 73, 5464–5470. doi: 10.1128/aem.00572-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Xing-Chao, D., Xiong-Lin, Q., Zhi-Liang, X. U., Jian-Zhong, H. E., Wen-Fu, Q., Zhong-Xiu, Y., et al. (2019). Investigation on a diarrhea outbreak caused by mixed infection of norovirus and Enteroaggregative Escherichia coli in Gangbei county of Guigang city. Occup. Health 35, 2377–2380, 2385.

Google Scholar

Yang, Y., Xia, M., Tan, M., Huang, P., Zhong, W., Pang, X. L., et al. (2010). Genetic and phenotypic characterization of GII-4 noroviruses that circulated during 1987 to 2008. J. Virol. 84, 9595–9607. doi: 10.1128/jvi.02614-09

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X. F., Huang, Q., Long, Y., Jiang, X., Zhang, T., Tan, M., et al. (2015). An outbreak caused by GII.17 norovirus with a wide spectrum of HBGA-associated susceptibility. Sci. Rep. 5:17687.

Google Scholar

Keywords: norovirus, immunotypes, GI genotypes, cross-reactivity, cross-blockade, HBGA, vaccine strategy

Citation: Xie D, Chen J, Yu J, Pei F, Koroma MM, Wang L, Qiu M, Hou Y, Yu D, Zhang X-F and Dai Y-C (2020) Characterization of Antigenic Relatedness Among GI Norovirus Genotypes Using Serum Samples From Norovirus-Infected Patients and Mouse Sera. Front. Microbiol. 11:607723. doi: 10.3389/fmicb.2020.607723

Received: 18 September 2020; Accepted: 11 November 2020;
Published: 08 December 2020.

Edited by:

Hirokazu Kimura, Gunma Paz University, Japan

Reviewed by:

Koo Nagasawa, Chiba Cancer Center, Japan
Ikuo Shoji, Kobe University, Japan

Copyright © 2020 Xie, Chen, Yu, Pei, Koroma, Wang, Qiu, Hou, Yu, Zhang and Dai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xu-Fu Zhang, xfzhang2002@126.com; Ying-Chun Dai, yingchun78@hotmail.com

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.