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. 2014 Sep 3;9(9):e106430. doi: 10.1371/journal.pone.0106430

Seroprevalence of Merkel Cell Polyomavirus in the General Rural Population of Anyang, China

Chanyuan Zhang 1,#, Fangfang Liu 1,#, Zhonghu He 1, Qiuju Deng 1, Yaqi Pan 1, Ying Liu 1, Chaoting Zhang 1, Tao Ning 1, Chuanhai Guo 1, Yongmei Liang 1, Ruiping Xu 2, Lixin Zhang 2, Hong Cai 1,*, Yang Ke 1,*
Editor: Masaru Katoh3
PMCID: PMC4153645  PMID: 25184447

Abstract

Background

Despite the probably causal link between Merkel cell polyomavirus (MCPyV) infection and Merkel cell carcinoma (MCC), a rare but aggressive skin malignancy, little is known about the seroepidemiology of MCPyV among healthy adults in China.

Methods

Serum antibodies against MCPyV were evaluated by multiplex serology in a population-based study of 5548 adults (including 1587 heterosexual couples) aged 25–65 years who were enrolled from rural Anyang, China in 2007–2009. Univariate and multivariate logistic regression analyses were performed to assess the risk factors for the seropositivity of MCPyV.

Results

The seroprevalence for MCPyV was 61.0%. MCPyV seropositivity was significantly higher in males than in females (64.5% vs. 57.7%, P<0.001), and for both genders, showed a trend of increase with age (Male: P trend<0.001; Female: P trend<0.001). Furthermore, among antibody positives, antibody levels of MCPyV increased with advancing age (P trend = 0.017). MCPyV seropositivity of one spouse was significantly associated with that of the other partner (Adjusted OR = 1.32, 95% CI: 1.07–1.62). However, there was no association between sexual behaviors and the seropositivity of MCPyV.

Conclusions

High seroprevalence of MCPyV was observed in healthy Chinese individuals. Serological evidence suggests that nonsexual horizontal spread of MCPyV can occur among family members, and further research in this regard is needed.

Introduction

Merkel cell polyomavirus (MCPyV), different from all the other human polyomaviruses so far, was classified as probably carcinogenic to humans, due to its unique relationship with Merkel cell carcinoma (MCC) [1][3]. MCC is a rare but aggressive skin malignancy arising in elderly or immunocompromised individuals [4], [5]. MCC cases not only occur among Caucasians as most frequently reported, patients of Asian ethnicity also appear in diverse regions of China and the possibility of under-diagnosis among Chinese cannot be excluded [6]. MCPyV DNA has been detected in approximately 80.0% of MCC tumors [1], [2], [7]. Involvement of MCPyV in the carcinogenesis of MCC is further supported by clonal integration of MCPyV within the tumor cell genome and the presence of mutations in large T antigen that prevents viral replication, but still sustains the transformational property [1], [8].

The carcinogenic potency renders MCPyV of considerable relevance for public health. Serologic studies indicate that MCPyV infection is highly prevalent (about 46.0%–88.0%) among healthy adults, which generally acquired asymptomatically in early childhood [9][16]. The variance in seroprevalence could be due to detection methods used, to differences in study populations, and to cut-off definitions. Only a few of large epidemiologic studies on MCPyV have been conducted mainly in western countries (the seroprevalence ranges from 46.0% to 80.0%) and data is especially limited in Asia [10], [13][16]. Except age and gender, few potential risk factors for MCPyV have been assessed among healthy populations. Till now, the exact transmission mode is not known, although MCPyV DNA has been found in low copy numbers in gastrointestinal, respiratory tract, and most frequently in cutaneous samples [14], [17][20].

This cross-sectional study aims to evaluate the prevalence and spousal concordance of MCPyV antibodies in a large rural Chinese population and to assess associated risk factors.

Materials and Methods

Study subjects

An ongoing population-based esophageal cancer cohort study in rural Anyang, China has been described elsewhere [21]. This MCPyV investigation was conducted in 6 of the 9 target villages cluster-sampled in the baseline of the cohort in 2007–2009. Eligibility criteria included: 25–65 years of age; permanent residents in one of the selected villages; no prior diagnosis of cancer, cardiovascular disease, immunocompromised disease, or mental disorder; and no history of infection with hepatitis B virus (HBV), hepatitis C virus (HCV), or human immunodeficiency virus (HIV). This study was approved by the Ethics Committee of School of Oncology, Peking University (Approval number: 2006020). Written informed consent was obtained from each participant who was included in the study, and the study protocol was followed according to the ethical guidelines of the 1975 Declaration of Helsink.

Specimen and data collection

Five milliliters of peripheral blood were collected. After centrifugation, serum for antibody testing was temporarily stored at −20°C and later transported to Beijing, and stored at −80°C. A one-on-one computer-aided interview was administered by a trained interviewer. Information was collected regarding demographic characteristics, smoking (at least 1 cigarette per day for ≥ 12 months), drinking (drinking Chinese liquor at least twice per week for ≥ 12 months), personal hygiene habits, and sexual behaviors.

Cloning of GST-VP1.FLAG fusion protein

The DNA construct of pGEX.MCPyV w156 was provided by Dr. Joseph J Carter (Fred Hutchinson Cancer Research Center). A FLAG tag was inserted into the pGEX-4T-1 plasmid, so that the major capsid protein (VP1) for MCPyV was expressed as fusion protein with N-terminal glutathione S-transferase (GST) and C-terminal FLAG tag. Primers listed in Table S1 were used to amplify the MCPyV VP1 sequence by KOD -Plus- Neo High fidelity PCR polymerase (Toyobo). PCR reaction conditions were carried out for 5 minutes at 98°C followed by 35 cycles of 98°C for 15 seconds, 58°C for 30 seconds, and 68°C for 90 seconds. The fragment was digested with EcoRI/XhoI, and then subcloned into the gel-purified pGEX-4T-1.FLAG plasmid. The recombinant clones were verified by sequencing (Sinogenomax Company, Beijing, China). Sequences were compared at the NCBI/BLAST web site (http://blast.ncbi.nlm.nih.gov/Blast.cgi).

Expression of GST-VP1.FLAG fusion protein

GST-VP1.FLAG fusion protein was transformed into E. coli strain Rosetta (DE3) competent cell (Biomed Company). Fusion protein expression was induced at room temperature by 0.25 mM isopropyl-β-D-thiogalactopyranoside (IPTG) and bacteria were harvested after 12 hours incubation at room temperature. Clear lysate was prepared according to Sehr et al. [22], and was stored with 50% glycerol at −20°C. Fusion protein was characterized by Coomassie-stained SDS-PAGE and Western blot analyses using GST and FLAG tag-specific antibodies [23].

Multiplex polyomavirus serology

This study adapted a multiplex serological assay based on GST fusion proteins, which was developed by Waterboer et al. for large-scale seroepidemiological studies [24]. Glutathione crosslinked to casein acted as a capture protein for GST, and was bound to fluorescence-labeled carboxylated magnetic beads (BIO-RAD). Each antigen was loaded onto specific bead sets with different colors. Serum specimens were diluted to 1∶50 and incubated with the bead mixtures overnight at 4°C followed by a 1-hour incubation at room temperature with shaking. Antibodies that bound to beads were detected with biotin-labeled anti-human IgG (H+L) (KPL, Gaithersburg, MD, USA) and streptavidin-R-phycoerythrin (Invitrogen). The bead mixtures were analyzed by the Bio-Plex 200 Instrument (BIO-RAD). Results were reported as median fluorescence intensity (MFI) of a minimum of 50 beads per bead set. Specific signals (net MFI) for MCPyV were calculated by subtracting the MFI for beads coated with GST alone.

GC beads binding of GST-VP1.FLAG fusion protein were quantified by an anti-FLAG M2 monoclonal antibody for each plate. Anti-FLAG tag MFI values among the testing days varied little (range 7351–14277 MFI for MCPyV). Within-day coefficients of variation (CVs) and between-day CV were 2.2%–13.3% (median, 7.5%) and 15.7%, respectively.

A cut-off value of 1000 MFI was set to determine the seropositivity for MCPyV. MFI values of MCPyV antibodies were defined to be high if they were in the 4th quartile among all the specimens tested. The high antibody level for MCPyV was MFI ≥ 15268.

Statistical analysis

Potential risk factors that showed statistical significance in univariate logistic regression analyses, together with those reported exposure related variables were included in multivariate logistic regression models. Trend tests were conducted by treating ordered categorical variables as continuous covariates. All statistical analyses were performed using Stata for Windows (version 11.2, StataCorp, College Station, TX). The level of statistical significance was set at 0.05 (two-sided). All graphs were produced by the Prism program (GraphPad Software Inc, La Jolla, CA).

Results

Seroprevalence

Among 5548 participants, the overall seroprevalence for MCPyV was 61.0% (Table 1). The prevalence of antibodies to MCPyV was significantly higher in males than in females (64.5% vs. 57.7%, P<0.001), and for both genders, showed a trend of increase with age (Male: Ptrend<0.001; Female: Ptrend<0.001). These age-and-gender-dependent antibody reactivity patterns were independent of the cut-off values, according to Figure 1 (The strength of the antibody reactions was plotted against the percentile according to age and gender).

Table 1. Antibody positivity to MCPyV by age and gender in rural Anyang, China, 2007–2009.

Age (years) % (No. of positive subjects/no. of subjects)
Total Male Female
25–30 50.8 (338/666) 53.3 (171/321) 48.4 (167/345)
31–35 59.0 (444/752) 62.2 (250/402) 55.4 (194/350)
36–40 61.2 (604/987) 62.9 (310/493) 59.5 (294/494)
41–45 61.4 (608/991) 66.3 (309/466) 57.0 (299/525)
46–50 62.0 (264/426) 65.5 (125/191) 59.2 (139/235)
51–55 65.2 (444/681) 71.0 (235/331) 59.7 (209/350)
56–60 64.4 (358/556) 66.9 (170/254) 62.3 (188/302)
61–65 65.9 (322/489) 71.3 (159/223) 61.3 (163/266)
Total 61.0 (3382/5548) 64.5 (1729/2681) 57.7 (1653/2867)
P value for trenda <0.001 <0.001 <0.001

NOTE. MCPyV: Merkel cell polyomavirus.

a

P values for trend were derived by logistic regression analyses considering categorical variables as continuous variables.

Figure 1. Distribution of the seroresponses for MCPyV by age and gender.

Figure 1

Presented are seroresponses of 5548 healthy adults aged 25–65 years who were enrolled from rural Anyang, China, 2007–2009. The strength of the antibody reactions was plotted against the percentile according to age and gender. Color codes for age groups in years and the chosen cut-off of 1000 MFI are as indicated. The figure can be interpreted as follows (upper left panel, MCPyV antibodies among all subjects): For individuals aged 25–30 years, about 50% showed antibody reactions above 1000 MFI (that is, the seroprevalence of MCPyV is 50% using the cut-off of 1000 MFI) and about 30% above 10000 MFI (that is, the seroprevalence of MCPyV is 30% using the cut-off of 10000 MFI). NOTE. MCPyV: Merkel cell polyomavirus; MFI: mean fluorescence intensity.

Intensity of seroresponses

Although a majority of individuals in this population were seropositive for MCPyV, some adults displayed stronger antibody responses than others (Table 2, Figure S1). High antibody levels among MCPyV positive samples were positively associated with age, increasing from 38.1% for 25-to 35-year-old individuals to 45.0% for those aged 56 years and older (P trend = 0.017) (Table 2).

Table 2. High levels of MCPyV in seropositive subjects according to age and gender in rural Anyang, China, 2007–2009.

Group % (No. of subjects with high level/no. of positive subjects) Crude OR (95% CI)a P valuea Adjusted OR (95% CI)b P valueb
Age (years)
25–35 38.1 (298/782) 1.00 1.00
36–45 41.1 (498/1212) 1.13 (0.94–1.36) 0.184 1.13 (0.94–1.36) 0.182
46–55 40.3 (285/708) 1.10 (0.89–1.35) 0.397 1.10 (0.89–1.35) 0.392
56–65 45.0 (306/680) 1.33 (1.08–1.64) 0.008 1.33 (1.08–1.64) 0.007
P value for trendc 0.017 0.016
Gender
Male 41.3 (714/1729) 1.00 1.00
Female 40.7 (673/1653) 0.98 (0.85–1.12) 0.731 0.97 (0.85–1.11) 0.661

NOTE. MCPyV: Merkel cell polyomavirus; OR: odds ratio; CI: confidence interval.

a

Crude odds ratios, 95% confidence intervals and P values were derived by univariate logistic regression analyses.

b

Adjusted odds ratios, 95% confidence intervals and P values were derived by multivariate logistic regression models including age and gender.

c

P values for trend were derived by logistic regression analyses considering categorical variables as continuous variables.

Risk factor analysis

The associations of MCPyV seropositivity with demographic and potential risk factors were shown in Table 3. Differences for MCPyV seropositivity were observed for types of employment, smoking, drinking, washing face before bed and bathing frequency in winter (Figure S2) in univariate analyses. However, after adjusting for age, gender and other potential confounders, only the effect of bathing frequency in winter remained. Individuals who bathed once every 15 days or more had a higher seropositivity of MCPyV than those who bathed at least once per week (Adjusted OR = 1.19; 95% CI: 1.01–1.39).

Table 3. Univariate and multivariate logistic analyses of risk factors for MCPyV seropositivity in rural Anyang, China, 2007–2009.

Variables No. (%) Crude OR (95% CI)a Adjusted OR (95% CI)b
Age (years)
25–35 782 (55.2) 1.00 1.00
36–45 1212 (61.3) 1.29 (1.12–1.48) 1.33 (1.15–1.55)
46–55 708 (64.0) 1.44 (1.23–1.70) 1.50 (1.24–1.82)
56–65 680 (65.1) 1.52 (1.29–1.79) 1.58 (1.27–1.95)
P value for trendc <0.001 <0.001
Gender
Male 1729 (64.5) 1.00 1.00
Female 1653 (57.7) 0.75 (0.67–0.84) 0.72 (0.60–0.87)
Education level
Illiteracy, <1 y 456 (62.9) 1.00 1.00
Primary school, 1–6 y 1062 (61.9) 0.96 (0.80–1.15) 1.01 (0.83–1.23)
Junior high school, 7–9 y 1389 (59.1) 0.85 (0.72–1.01) 0.88 (0.72–1.09)
Senior high school or above, >9 y 273 (61.8) 0.95 (0.75–1.22) 0.93 (0.71–1.23)
P value for trendc 0.116 0.190
Marital status
Being married or cohabiting 3010 (60.7) 1.00 1.00
Never married, divorced, separated or widowed 170 (62.7) 1.09 (0.85–1.41) 0.96 (0.74–1.26)
Types of employment
Farming 1997 (59.5) 1.00 1.00
Non-farming 1183 (63.1) 1.16 (1.03–1.31) 1.15 (0.99–1.33)
Cigarette smoking
Never 2178 (59.6) 1.00 1.00
Ever 1002 (63.5) 1.18 (1.05–1.34) 0.86 (0.72–1.03)
Alcohol consumption
Never 2662 (60.2) 1.00 1.00
Ever 517 (64.2) 1.19 (1.02–1.39) 1.03 (0.86–1.23)
Smoke in the kitchen
Smokeless 893 (61.1) 1.00 1.00
Smoky 1965 (60.5) 0.98 (0.86–1.11) 0.95 (0.83–1.08)
Very smoky 321 (61.4) 1.01 (0.82–1.24) 0.96 (0.77–1.18)
P value for trendc 0.944 0.500
Lifetime no. of sexual partners
0–1 2873 (60.4) 1.00 1.00
2 138 (66.7) 1.31 (0.98–1.76) 1.28 (0.95–1.73)
≥3 136 (63.3) 1.13 (0.85–1.50) 1.09 (0.80–1.47)
P value for trendc 0.135 0.262
Age at sexual debut, years
≤19 302 (61.4) 1.00 1.00
20–23 2153 (60.2) 0.95 (0.78–1.15) 0.99 (0.81–1.22)
≥24 715 (62.3) 1.04 (0.84–1.29) 1.00 (0.80–1.26)
P value for trendc 0.434 0.933
Frequency of sex per week
None 904 (61.6) 1.00 1.00
1–2 1701 (60.7) 0.96 (0.85–1.10) 1.05 (0.90–1.22)
≥3 549 (59.2) 0.90 (0.76–1.07) 1.06 (0.87–1.29)
P value for trendc 0.249 0.581
Washing face before bed
Never 2002 (62.3) 1.00 1.00
Occasionally 577 (58.2) 0.84 (0.73–0.98) 0.89 (0.77–1.04)
Frequently 593 (58.4) 0.85 (0.74–0.98) 1.00 (0.86–1.17)
P value for trendc 0.010 0.705
Interval between bathing in winter (days)
1–7 579 (57.3) 1.00 1.00
8–14 812 (58.9) 1.07 (0.91–1.26) 1.09 (0.92–1.29)
≥15 1781 (63.0) 1.27 (1.09–1.46) 1.19 (1.01–1.39)
P value for trendc 0.001 0.035

NOTE. MCPyV: Merkel cell polyomavirus; OR: odds ratio; CI: confidence interval.

a

Crude odds ratios and 95% confidence intervals were derived by univariate logistic regression analyses.

b

Adjusted odds ratios and 95% confidence intervals were derived by multivariate logistic regression models including all the listed variables.

c

P values for trend were derived by logistic regression analyses considering categorical variables as continuous variables.

Concordance of heterosexual couples

Among 1587 heterosexual couples who both provided serum specimens, 607 (46.0%, 607/1320) had seropositive concordance for MCPyV (Table 4). MCPyV seropositivity of one spouse was significantly related to that of the other partner (Adjusted OR = 1.32; 95% CI: 1.07–1.62, P = 0.009).

Table 4. Spousal association of MCPyV seropositivity among 1587 heterosexual couples in rural Anyang, China, 2007–2009.

MCPyV serostatus of female partners MCPyV serostatus of male partners Total Crude OR (95% CI)a P valuea Adjusted OR (95% CI)b P valueb
Negative Positive
Negative 267 424 691 1.00 0.008 1.00 0.009
Positive 289 607 896 1.32 (1.07–1.63) 1.32 (1.07–1.62)

NOTE. MCPyV: Merkel cell polyomavirus; OR: odds ratio; CI: confidence interval.

a

Crude odds ratios, 95% confidence intervals and P value were derived by univariate logistic regression analyses.

b

Adjusted odds ratios, 95% confidence intervals and P value were derived by multivariate logistic regression models including the age difference between heterosexual couples.

Discussion

In this population-based study, we determined the seroprevalence and associated risk factors for MCPyV in 5548 rural Chinese adults including 1587 heterosexual couples. Findings of this study increased our knowledge of the seroepidemiology and spousal correlation of this virus among the healthy population. To our best knowledge, this is the first report concerning MCPyV epidemiology from China.

This study showed that MCPyV circulated widely in the rural Chinese population, with a seroprevalence of 61.0%, which was in the middle seroprevalence range reported by previous studies from western countries (46.0%–88.0%) [9][16]. However, when comparing the prevalence data across studies, it is important to keep in mind that using different techniques may result in various prevalence figures. A variety of methods including enzyme-linked immunoassay (EIAs) and Luminex-based serological assays using virus-like particles (VLPs) or GST-VP1 recombinant protein have been employed to assess MCPyV seropositivity in previous studies [10], [12], [14], [25], [26]. Conformational epitope-based VLP EIAs are believed to be more sensitive than assays using VP1 recombinant protein [12], [27]. However, due to the ease of antigen production and purification as well as the comparable sensitivity, GST-VP1 based Luminex assay is an important tool for high-throughput analysis of human polyomaviruses antibodies in large-scale epidemiological studies [9], [16]. Nevertheless, as mentioned above, the possibility of lowering our estimate of MCPyV seroprevalence due to using GST-VP1 with less sensitivity still cannot be ruled out.

We observed higher MCPyV seroprevalence in men comparing to women, which implies that disparity in exposure or susceptibility to MCPyV with regard to gender may exist in this study population. MCPyV seroprevalence increased with advancing age ranging from 50.8% in the age group 25–30 years to 65.9% in the age group 61–65 years. This repeatedly reported age-dependence pattern indicates that MCPyV infection may be acquired throughout life or possibly be reactivated under conditions of waning immunity [14]. Furthermore, among antibody positives, a positive correlation between increased levels of MCPyV antibodies and age was observed. According to a longitudinal study, MCPyV antibody levels increased over time among two thirds of subjects who stayed seropositive up to 25 years after seroconversion [13]. The association between antibody levels and increasing age may reflect the fact that adults with high antibody levels had active viral replication, a state more commonly observed in the elderly due to waning immunity [15]. However, further research is deserved.

Population-based data regarding the seropositive determinants of MCPyV is lacking, although several case-control studies have examined the associations between MCPyV seroprevalence and potential risk factors in the control group [28], [29]. Except age, no other statistically significant associations have been consistently identified for MCPyV [13]. And till now, no definite transmission route for this virus has been demonstrated. The presence of MCPyV DNA has been most frequently detected in the normal skin of healthy populations, supporting the possibility of cutaneous transmission routes (shedding from the skin into the environment) [17], [18]. MCPyV may also be spread by a fecal-oral route or respiratory transmission, since MCPyV DNA can also be found in the aerodigestive tract and urban sewage [14], [19], [20]. Here we observed that, in line with other studies, antibody positivity against MCPyV was not related with sexual behaviors, supporting a nonsexual route of transmission [9]. Although the reliability of self-reports of sensitive sexual behaviors may be compromised by social desirability bias, significant association was found between sexual behaviors and male genital human papillomavirus (HPV) infection from this same cohort, in support of the validity of the survey questionnaires [30]. In addition, in one study which simultaneously measured both MCPyV and HPV antibodies, null association with the lifetime number of sexual partners was observed for MCPyV while strong association as expected for HPV was obtained [9]. Interestingly, we observed that infrequent bathing conferred an increased risk of MCPyV seropositivity, which has not been evaluated in previous studies. Worse personal hygiene (e.g. infrequent bathing) may increase the possibility of cutaneous transmission of MCPyV, and further study in this regard is needed.

Notably, this study fills a unique niche concerned with the spousal concordance for MCPyV seropositivity. Based on a large sample, our results showed that MCPyV seropositivity in one partner increased the risk of MCPyV seropositivity in the other. Frequent close contact (e.g. skin to skin) within couples and shared family environment is likely to increase the probability of nonsexual transmission of MCPyV via either respiratory, fecal-oral, or cutaneous routes. This may explain the presence of spousal correlation for MCPyV seropositivity. For deep exploration of MCPyV transmission modes, long-term longitudinal studies simultaneously detecting serum MCPyV antibodies and MCPyV DNA at multiple anatomical sites will be more informative.

MCPyV has gained the most attention, among all the polyomaviruses, due to its link to MCC. The MCPyV mutations found in MCC tumors kill the virus but nevertheless preserve its ability to transform cells [8], [31]. Additionally, MCPyV T antigen gene products, which target tumor suppressor proteins including retinoblastoma and p53, are specifically expressed in tumor cells [8], [32]. These indicate that MCPyV is not an incidental virus and partly explain how a common infection can result in a rare tumor. However, high seroprevalence of MCPyV as well as long incubation time between primary viral exposure (early in childhood) and occurrence of the tumor (a median age of approximately 70 years) suggest that additional events are required for MCPyV-related malignancy [2], [4], [10], [33]. Various hypotheses ranging from skin exposure to UV-light to perturbation of the immune system have been proposed, yet none have been elucidated [31]. Despite the limited understanding of the mechanism of MCPyV-induced carcinogenesis, the increasing incidence of MCC and poor prognosis of MCC patients warrants considering measures of targeting MCPyV to control MCC. Till now, several experimental vaccines have been developed to protect against MCPyV infection, which may consequently reduce MCC incidence [34]. Seroepidemiological studies provide important information concerning virus epidemiology and transmission and help to identify high-risk populations who may benefit from preventive measures such as vaccinations.

This study does have several limitations. Firstly, the cut-off used to define seropositivity in this study is arbitrary. Although Luminex-based serology reported signal magnitude of antibody reactions, quantitative interpretation of the signal strength was limited. According to Figure 1, the trend curves of signal intensity flattened off in the low percentiles, which may be due to that strongly seropositive sera began to saturate the beads at MFIs above about 7500. Using a single dilution of serum in the assay (such as 1∶50 used in this study) was likely to fail to satisfy the assumptions of the law of mass action for high titer individuals, which thus limited quantitative interpretation of high fluorescent signal intensity [11], [35]. Given this limitation, most of studies using Luminex-based serology focused on seropositivity determined by cut-offs instead of signal magnitude. However since there is no international standard serum, any cut-off definition is somewhat arbitrary and different results must be compared with caution. In this study, sensitivity analyses using different cut-offs showed that the findings were robust. Secondly, only antibodies against MCPyV w156 VP1 were measured, which may result in a lower estimate of MCPyV seroprevalence. Using VP1 proteins of representative local virus strains, which remain to be determined, may maximize the sensitivity of detection. Thirdly, information about potential risk factors for MCC such as skin sensitivity or markers of sun exposure were not collected, thus their association with MCPyV seropositivity could not be assessed. Finally, in order to clarify the modes of MCPyV transmission, analysis of concurrent data about serum MCPyV antibodies and MCPyV DNA at multiple anatomical sites both in adults and pediatric subjects would be more informative. Despite these limitations, this is the largest study characterizing serological profiles of MCPyV in general populations so far, and provides clues on relevant risk factors and transmission.

In summary, high prevalence of antibodies against MCPyV was observed in sera of healthy Chinese individuals. The seroprevalence and antibody levels of MCPyV increased with advancing age in adulthood. The absence of association between sexual behaviors and MCPyV seropositivity, along with the presence of spousal correlation of MCPyV seroprevalence, indicates the possibility of nonsexual horizontal spread of MCPyV between family members, and further research in this regard is needed.

Supporting Information

Figure S1

Intensity of the antibody responses for MCPyV by gender among seropositive individuals. Scattergrams represent the distributions of the 3382 human sample reactivities with MCPyV (gray bars indicate medians) in rural Anyang, China, 2007-2009. Each dot corresponds to the MFI value of each serum sample. NOTE. MCPyV: Merkel cell polyomavirus; MFI: mean fluorescence intensity.

(TIF)

Figure S2

Distribution of the seroresponses for MCPyV by bathing frequency in winter. Presented are seroresponses of 5217 healthy adults (331 adults were excluded for missing information on bathing frequency) aged 25–65 years who were enrolled from rural Anyang, China, 2007–2009. The strength of the antibody reactions was plotted against the percentile according to bathing frequency in winter (interval between bathing in winter, days). Color codes for different groups (3 groups: bathed once every 1–7 days; bathed once every 8–14 days; and bathed once every 15 days or more) and the chosen cut-off of 1000 MFI are as indicated. NOTE. MCPyV: Merkel cell polyomavirus; MFI: mean fluorescence intensity.

(TIF)

Table S1

Primers for amplifying MCPyV VP1 fragment.

(DOC)

Acknowledgments

We thank Prof. Denise A. Galloway and Dr. Joseph J. Carter for technical help and providing the DNA construct of pGEX.MCPyV w156. We thank Prof. Longfu Xi for guidance.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

Funding Statement

This work was supported by Natural Science Foundation of China [30872937, 30930102]; “973” Project of National Ministry of Science and Technology Grant [2011CB504300, 2012CB910800]; “863” Key Projects of National Ministry of Science and Technology Grant [2006AA2Z467]; Charity Project of National Ministry of Health [201202014, 200902002]; and Natural Science Foundation of Beijing [7100001] to Y.K. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Feng H, Shuda M, Chang Y, Moore PS (2008) Clonal integration of a polyomavirus in human Merkel cell carcinoma. Science 319: 1096–1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Bouvard V, Baan RA, Grosse Y, Lauby-Secretan B, El Ghissassi F, et al. (2012) Carcinogenicity of malaria and of some polyomaviruses. Lancet Oncol 13: 339–340. [DOI] [PubMed] [Google Scholar]
  • 3. Faust H, Andersson K, Ekstrom J, Hortlund M, Robsahm TE, et al. (2014) Prospective study of Merkel cell polyomavirus and risk of Merkel cell carcinoma. Int J Cancer 134: 844–848. [DOI] [PubMed] [Google Scholar]
  • 4. Agelli M, Clegg LX (2003) Epidemiology of primary Merkel cell carcinoma in the United States. J Am Acad Dermatol 49: 832–841. [DOI] [PubMed] [Google Scholar]
  • 5. Lemos B, Nghiem P (2007) Merkel cell carcinoma: more deaths but still no pathway to blame. J Invest Dermatol 127: 2100–2103. [DOI] [PubMed] [Google Scholar]
  • 6. Song PI, Liang H, Wei WQ, Jiang YQ, Smith JS, et al. (2012) The clinical profile of Merkel cell carcinoma in mainland China. Int J Dermatol 51: 1054–1059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Touze A, Le Bidre E, Laude H, Fleury MJ, Cazal R, et al. (2011) High levels of antibodies against merkel cell polyomavirus identify a subset of patients with merkel cell carcinoma with better clinical outcome. J Clin Oncol 29: 1612–1619. [DOI] [PubMed] [Google Scholar]
  • 8. Shuda M, Feng H, Kwun HJ, Rosen ST, Gjoerup O, et al. (2008) T antigen mutations are a human tumor-specific signature for Merkel cell polyomavirus. Proc Natl Acad Sci U S A 105: 16272–16277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Carter JJ, Paulson KG, Wipf GC, Miranda D, Madeleine MM, et al. (2009) Association of Merkel cell polyomavirus-specific antibodies with Merkel cell carcinoma. J Natl Cancer Inst 101: 1510–1522. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Kean JM, Rao S, Wang M, Garcea RL (2009) Seroepidemiology of human polyomaviruses. PLoS Pathog 5: e1000363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Pastrana DV, Tolstov YL, Becker JC, Moore PS, Chang Y, et al. (2009) Quantitation of human seroresponsiveness to Merkel cell polyomavirus. PLoS Pathog 5: e1000578. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Tolstov YL, Pastrana DV, Feng H, Becker JC, Jenkins FJ, et al. (2009) Human Merkel cell polyomavirus infection II. MCV is a common human infection that can be detected by conformational capsid epitope immunoassays. Int J Cancer 125: 1250–1256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Tolstov YL, Knauer A, Chen JG, Kensler TW, Kingsley LA, et al. (2011) Asymptomatic primary Merkel cell polyomavirus infection among adults. Emerg Infect Dis 17: 1371–1380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Viscidi RP, Rollison DE, Sondak VK, Silver B, Messina JL, et al. (2011) Age-specific seroprevalence of Merkel cell polyomavirus, BK virus, and JC virus. Clin Vaccine Immunol 18: 1737–1743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Nicol JT, Robinot R, Carpentier A, Carandina G, Mazzoni E, et al. (2013) Age-specific seroprevalences of merkel cell polyomavirus, human polyomaviruses 6, 7, and 9, and trichodysplasia spinulosa-associated polyomavirus. Clin Vaccine Immunol 20: 363–368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. van der Meijden E, Bialasiewicz S, Rockett RJ, Tozer SJ, Sloots TP, et al. (2013) Different serologic behavior of MCPyV, TSPyV, HPyV6, HPyV7 and HPyV9 polyomaviruses found on the skin. PLoS One 8: e81078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Foulongne V, Kluger N, Dereure O, Mercier G, Moles JP, et al. (2010) Merkel cell polyomavirus in cutaneous swabs. Emerg Infect Dis 16: 685–687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Schowalter RM, Pastrana DV, Pumphrey KA, Moyer AL, Buck CB (2010) Merkel cell polyomavirus and two previously unknown polyomaviruses are chronically shed from human skin. Cell Host Microbe 7: 509–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Kantola K, Sadeghi M, Lahtinen A, Koskenvuo M, Aaltonen LM, et al. (2009) Merkel cell polyomavirus DNA in tumor-free tonsillar tissues and upper respiratory tract samples: implications for respiratory transmission and latency. J Clin Virol 45: 292–295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Foulongne V, Courgnaud V, Champeau W, Segondy M (2011) Detection of Merkel cell polyomavirus on environmental surfaces. J Med Virol 83: 1435–1439. [DOI] [PubMed] [Google Scholar]
  • 21. Liu F, Guo F, Zhou Y, He Z, Tian X, et al. (2012) The anyang esophageal cancer cohort study: study design, implementation of fieldwork, and use of computer-aided survey system. PLoS One 7: e31602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Sehr P, Muller M, Hopfl R, Widschwendter A, Pawlita M (2002) HPV antibody detection by ELISA with capsid protein L1 fused to glutathione S-transferase. J Virol Methods 106: 61–70. [DOI] [PubMed] [Google Scholar]
  • 23. Sehr P, Zumbach K, Pawlita M (2001) A generic capture ELISA for recombinant proteins fused to glutathione S-transferase: validation for HPV serology. J Immunol Methods 253: 153–162. [DOI] [PubMed] [Google Scholar]
  • 24. Waterboer T, Sehr P, Michael KM, Franceschi S, Nieland JD, et al. (2005) Multiplex human papillomavirus serology based on in situ-purified glutathione s-transferase fusion proteins. Clin Chem 51: 1845–1853. [DOI] [PubMed] [Google Scholar]
  • 25. Touze A, Gaitan J, Arnold F, Cazal R, Fleury MJ, et al. (2010) Generation of Merkel cell polyomavirus (MCV)-like particles and their application to detection of MCV antibodies. J Clin Microbiol 48: 1767–1770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Chen T, Hedman L, Mattila PS, Jartti T, Ruuskanen O, et al. (2011) Serological evidence of Merkel cell polyomavirus primary infections in childhood. J Clin Virol 50: 125–129. [DOI] [PubMed] [Google Scholar]
  • 27. Arora R, Chang Y, Moore PS (2012) MCV and Merkel cell carcinoma: a molecular success story. Curr Opin Virol 2: 489–498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Robles C, Viscidi R, Malats N, Silverman DT, Tardon A, et al. (2013) Bladder cancer and seroreactivity to BK, JC and Merkel cell polyomaviruses: the Spanish bladder cancer study. Int J Cancer 133: 597–603. [DOI] [PubMed] [Google Scholar]
  • 29. Rollison DE, Giuliano AR, Messina JL, Fenske NA, Cherpelis BS, et al. (2012) Case-control study of Merkel cell polyomavirus infection and cutaneous squamous cell carcinoma. Cancer Epidemiol Biomarkers Prev 21: 74–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. He Z, Liu Y, Sun Y, Xi LF, Chen K, et al. (2013) Human Papillomavirus Genital Infections among Men, China, 2007–2009. Emerg Infect Dis 19: 992–995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Spurgeon ME, Lambert PF (2013) Merkel cell polyomavirus: a newly discovered human virus with oncogenic potential. Virology 435: 118–130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Li J, Wang X, Diaz J, Tsang SH, Buck CB, et al. (2013) Merkel cell polyomavirus large T antigen disrupts host genomic integrity and inhibits cellular proliferation. J Virol 87: 9173–9188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Antonsson A, Green AC, Mallitt KA, O'Rourke PK, Pawlita M, et al. (2010) Prevalence and stability of antibodies to the BK and JC polyomaviruses: a long-term longitudinal study of Australians. J Gen Virol 91: 1849–1853. [DOI] [PubMed] [Google Scholar]
  • 34. Zeng Q, Gomez BP, Viscidi RP, Peng S, He L, et al. (2012) Development of a DNA vaccine targeting Merkel cell polyomavirus. Vaccine 30: 1322–1329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Klasse PJ, Sattentau QJ (2002) Occupancy and mechanism in antibody-mediated neutralization of animal viruses. J Gen Virol 83: 2091–2108. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

Intensity of the antibody responses for MCPyV by gender among seropositive individuals. Scattergrams represent the distributions of the 3382 human sample reactivities with MCPyV (gray bars indicate medians) in rural Anyang, China, 2007-2009. Each dot corresponds to the MFI value of each serum sample. NOTE. MCPyV: Merkel cell polyomavirus; MFI: mean fluorescence intensity.

(TIF)

Figure S2

Distribution of the seroresponses for MCPyV by bathing frequency in winter. Presented are seroresponses of 5217 healthy adults (331 adults were excluded for missing information on bathing frequency) aged 25–65 years who were enrolled from rural Anyang, China, 2007–2009. The strength of the antibody reactions was plotted against the percentile according to bathing frequency in winter (interval between bathing in winter, days). Color codes for different groups (3 groups: bathed once every 1–7 days; bathed once every 8–14 days; and bathed once every 15 days or more) and the chosen cut-off of 1000 MFI are as indicated. NOTE. MCPyV: Merkel cell polyomavirus; MFI: mean fluorescence intensity.

(TIF)

Table S1

Primers for amplifying MCPyV VP1 fragment.

(DOC)

Data Availability Statement

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.


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