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HEV prevalence and potential risk factors in a large multi-ethnic youth cohort in China

Virology Journal volume 18, Article number: 3 (2021) Cite this article

Abstract

Background

This cohort study was designed to investigate the prevalence of and potential risk factors of HEV infection in a large multi-ethnic youth cohort in China.

Methods

Blood samples were collected from participants (n = 6269) and serum was isolated. All serum samples were tested for anti-HEV IgG, anti-HEV IgM antibodies using commercial enzyme immunoassay kits (Wantai Biological Pharmacy Enterprise, Beijing, China).

Results

The overall rate of anti-HEV IgG and anti-HEV IgM prevalence was 4.78% and 0.14%, 0.03% were positive for both anti-HEV IgG and anti-HEV IgM antibodies. Anti-HEV IgG positivity is significantly higher in females (5.27%) compared to males (4.14%) (P = 0.028). Anti-HEV IgG prevalence is significantly (P = 0.0001) higher in Dong (17.57%), Miao (12.23%), Yi (11.04%), Gelao (9.76%), and Bai (10.00%) compared to other ethnic groups. It is significantly higher in Guizhou (11.4%), Sichuan (10.1%), Yunnan (9.3%), and Guangxi (6.9%) than that other province. We found that ethnicity and provincial background are significantly associated with HEV infection in this cohort.

Conclusion

This study provides comprehensive information on HEV prevalence in multi-ethnic populations in China. However, our study only focused on a youth population from different provinces of China. Future studies are recommended to investigate HEV prevalence in other age groups of the ethnic populations.

Background

Hepatitis E, caused by the Hepatitis E virus (HEV) has emerged as an important health concern in both developed and developing countries [1]. In general, HEV infection is asymptomatic and self-limiting [2, 3], but it can also cause severe diseases in specific populations, including pregnant women, immunocompromised patients, and patients with underlying liver diseases [4,5,6]. Globally, it is responsible for approximately 20 million new cases, over 3 million acute hepatitis cases, and 70,000 fatalities annually [7, 8]. The HEV outbreaks were mainly common in developing countries compared to developed countries and its prevalence significantly varies based on ethnicity, socioeconomic conditions, food habits, water quality, sanitation and, geographic origin [9, 10].

The People’s Republic of China is the leading populated country in the world, is comprised of 56 different ethnic groups with different dietary habits and living lifestyle. Therefore, different Chinese populations are prone to many food-borne infectious diseases, such as HEV infection. According to recent studies, the overall sero-prevalence of anti-HEV immunoglobulin G (IgG) among the general Chinese people’s ranges from 11–72% [7, 9, 11], and that of IgM is 1.8% [9]. However, HEV prevalence among different ethnic populations at the national level has not been comprehensively studied. The majority of the ethnic populations are living in less developed areas in isolated communities with relatively poor sanitation, unhygienic food practices, socioeconomic condition, and lack of health facilities for prevention, diagnosis, and treatment of infectious diseases. Therefore, we designed this cohort study to investigate the sero-prevalence of IgG and IgM in large multi-ethnic Chinese youth and to understand potential risk factors.

Methods

Study design

We conducted this large multi-ethnic youth cohort study among the freshly enrolled students of Northwest Minzu University, a university dedicating to high education for ethnic populations in China. 5 ml of blood was taken in sterile syringes from 6269 students and was immediately transported to the laboratory for further processing. In addition to sample collection, we used structured questionnaire forms to document participants’ demographic characteristics such as age, sex, ethnicity, area, political status, major subject, college, City, province. The serum samples were stored at −80 °C, until further testing. In this study, all participants were above 16 > year’s age and never get HEV vaccination before.

Serological tests

Serum samples were tested for the presence of anti-HEV IgG and IgM antibodies using commercial-available enzyme immunoassay kits (Wantai Biological Pharmacy Enterprise, Beijing, China) according to the manufacturer’s instructions. Samples were tested in duplicate with cutoff values for IgG and IgM assays set at 0.22 and 0.357, respectively, which were determined based on the mean optical density 450 values from the negative controls (6 standard deviations). Samples with OD greater than or equal to the cutoff value were considered as positive.

Statistical analysis

The data was analyzed using SPSS version 20.0 (Chicago, IL, USA). Proportions were estimated with the 95% confidence interval (CI). χ2 test or Fisher’s exact test and Mantel-extension test for trend were performed to evaluate the difference in the prevalence of viral markers among sex, age, residential, and occupational groups. Univariate analysis using the χ2 test or Fisher’s exact test and multivariate logistic regression analysis was performed to identify potential risk factors for HEV infection by calculating odds ratios (ORs) and 95% CI. For all analyses, P-value < 0.05 was considered statistically significant.

Results

Demographic characteristics of the participants

The demographic characteristics of all participants are shown in Table 1. In total, there were 6269 students, comprising of 3589 female and 2680 male. Age distribution was from 16 > to 31 years (mean, 18.7 ± 1.25; median, 19 years). Among 6269 students, 1502 belonged to rural and 4678 to urban areas. A total of 36.56% of students were Han, 13.49% were Hui, 8.85% were Tibetan, 5.89% were Zhuang, 5.63% were Tujia, 4.47% were Uighur, 4.43% were Miao, 3.91% were Mongol, and the remaining belonged to others ethnicities (Table 1). In this study, 14.15% of students belong to Gansu province followed by Guizhou (8.23%), Guangxi (6.91%), Xinjiang (6.81%), Qinghai (6.52%), Yunnan (6.36%), Ningxia (5.44%), Inner Mongolia (4.64%), Hunan (4.47%), Sichuan (4.10%), Tibet (3.68%), Chongqing (3.56%), and the remaining were from others provinces (Additional file 1: Appendix Table 1).

Table 1 Demographic characteristics of participants
Full size table

HEV sero-prevalence

The overall sero-prevalence of anti-HEV IgG and IgM antibodies positive was 4.96% (311/6269). Among them, 300 participants (4.79%) were anti-HEV IgG antibody positive IgM antibody negative, indicating past HEV infection. 11 participants (0.18%) were positive with anti-HEV IgM, among them 2 participants (0.03%) were positive for both anti-HEV IgG and IgM and 9 were negative for anti-HEV IgG, indicating recent/ongoing infection (Fig. 1). The results of serologic testing are shown in Table 2. Overall anti-HEV IgG (Past infection) prevalence was 4.79% (300/6269; [95% CI: 4.27–5.34]) and anti–HEV IgM (Recent or ongoing infection) prevalence was 0.18% [95%CI: 0.09–0.31]. We next performed analysis on the characteristics of Anti-HEV IgG positivity (past infection) because IgM or both IgG and IgM positive samples are very limited. Anti-HEV IgG positivity was significantly higher in female participants (5.27%) compared to male participants (4.14%) (P = 0.028). Similarly, anti-HEV IgG prevalence was significantly (P = 0.0001) higher in Dong (17.57%), Miao (12.23%), Yi (11.04%), Bai (10.00), and Gelao (9.76%) than that of other ethnic groups (Table 2).

Fig. 1
figure 1

Anti-HEV IgG and IgM antibodies Sero-prevalence in the Young Chinese population

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Table 2 HEV prevalence among various groups
Full size table

Anti-HEV IgG prevalence was significantly different among participants from different provinces (P < 0.0001) (Fig. 2). The overall anti-HEV IgG rate was significantly higher in Guizhou (11.4%), Sichuan (10.1%), Yunnan (9.3%), and Guangxi (6.9%) than that of other provinces (Fig. 2). 11 IgM positive samples were tested for viral RNA by qRT-PCR, but HEV RNA was undetectable.

Fig. 2
figure 2

Map of Anti-HEV IgG prevalence in different provinces of China

Full size image

Potential risk factors for HEV infection

To investigate the potential risk factors, only the samples positive for anti-HEV IgG were analyzed, which indicates past infection. Samples positive for IgM or both IgG and IgM, which indicates recent/ongoing infection, were not included because of the limited number. Univariate analysis revealed that sex, ethnic, and provincial backgrounds were significantly associated with a high rate of anti-HEV IgG antibody positivity. Interestingly, the multivariate analysis also indicated that ethnic and provincial background remained independent risk factors for the high rate of anti-HEV IgG positivity. The odds ratios and P-values of potential risk factors for anti-HEV IgG in the multivariate logistic regression model are shown in Table 3. In multivariate analysis, anti-HEV IgG positivity in females was higher compared to males but the difference was not significant (P = 0.058). Additionally, we found that there was a strong statistical association between geographic location and HEV prevalence (Table 3). Interestingly, in multivariate logistic ethnicity was also significantly (P = 0.017) associated with anti-HEV IgG positivity. The rate of anti-HEV IgG positivity was much higher in Dong, Miao, Yi, Gelao, Bai, and Yao compared to other ethnic groups (Table 3).

Table 3 Multivariate logistic regression analysis
Full size table

Discussion

HEV prevalence in general populations varies extensively across the world [12]. Previous studies on HEV sero-prevalence in China indicate varying results based on ethnicity [10] and geographical location [11, 13]. It has been documented that Hani population has the highest prevalence (82.3%) followed by Naxi (71.9%), Bulang (65.1%),Wa (60.0%) [10], Han (22.28%), Mongolian (10.37%), Tibetan (17.99%), Uighur (46.61%), Zhuang (72.02%) and Hui (21.15%) [11]. Different from these segmented previous studies, we now comprehensively investigated HEV prevalence in a large Chinese cohort comprising of 47 ethnicities from 31 provinces. Among 6269 tested samples, the sero-prevalence of anti-HEV IgG was 4.96% and anti-HEV IgM was 0.18% (Fig. 1). In China, previous studies reported anti-HEV IgG sero-prevalence ranging from 10.8 to 66.58% in the general population [9, 10, 13], which is considerably higher as compared to our study. Similarly, anti-HEV IgM prevalence in this study was 0.14%, which is again lower as compared to previous studies, 0.84–1.8% among the general population [9, 10] and 0.5–5% in blood donors in China [14]. The potential reasons may be attributed to factors such as participants from diverse geographies, different populations, age groups [13, 15, 16], and the use of diagnostic assays with different sensitivities [17].

In this study, we found a high HEV prevalence in Dong (17.6%), Miao (12.23%), Yi (11.04%), Bai (10.2%), and Gelao (9.8%) than that of other ethnic groups (Table 2). The mmajority of Dong, Miao, Yi, Gelao, and Bai ethnic groups are populated in Sichuan, Yunnan, Guangxi, and Guizhou province of China. These provinces are mostly overpopulated and less developed [13, 18]. The anti-HEV IgG rate among the 28 provinces investigated in this study ranges from 0% to 11.4% (Fig. 2). The overall rate was higher in Guizhou (11.4%), Sichuan (10.1%), Yunnan (9.3%), and Guangxi (6.9%), consistent with our findings of high prevalence in ethnic groups mainly from these provinces [18].

When we analyzed different potential risk factors data acquired from the self-reported questionnaires using univariate and multivariate logistic regression analysis. Our analysis revealed that ethnicity and provincial background are significantly associated with anti-HEV IgG (Table 3). We found that anti-HEV IgG sero-prevalence was higher in females as compared to males but the difference was not significant. Similar results have been reported [19,20,21] but others observed the opposite [22, 23]. However, there is to date no evidence-based explanation on the sex disparity to HEV susceptibility, requiring further investigation. It is well accepted that HEV infection occurs at all ages, and thus the anti-HEV IgG rate increases with the growing of age. In this study, anti-HEV IgG prevalence ranges from 4.72–5.87% without significant differences among different age groups. This can be explained that we enrolled in a relatively homogeneous youth group. 94.6% of participants are less than 20 years old in this study, and therefore, young age might be the main contributor to the overall low HEV prevalence.

This study has limitations that must be considered when interpreting our findings. First, HEV RNA was not detected and therefore we could not confirm the circulating genotype in our population. Secondly, the information of several known risk factors, including dietary habits, living standards, travel history, family history, and profession were not available in this study. Finally, we were only able to recruit a youth cohort for practical reasons. Thus, the epidemiology of HEV infection in other age groups of Chinese ethnic populations remains to be investigated.

Conclusion

This study provides comprehensive epidemiological information on HEV prevalence in the multi-ethnic populations residing in different provinces of China. We report the positive rate of anti-HEV IgG antibodies of 4.79% and IgM antibodies of 0.14%. HEV infection appears to be associated with sex, ethnic, and provincial background in our population.

Availability of data and materials

The aggregate data supporting findings contained within this manuscript will be shared upon request submitted to the corresponding author. Identifying patient data will not be shared.

Abbreviations

HEV:

Hepatitis E virus

References

  1. Khuroo MS, Khuroo MS, Khuroo NS. Transmission of Hepatitis E virus in developing countries. Viruses-Basel 2016, 8(9).

  2. Lhomme S, Marion O, Abravanel F, Chapuy-Regaud S, Kamar N, Izopet J. Hepatitis E pathogenesis. Viruses-Basel 2016, 8(8).

  3. Abrayanel F, Pique J, Couturier E, Nicot F, Dimeglio C, Lhomme S, Chiabrando J, Saune K, Peron JM, Kamar N, et al. Acute hepatitis E in French patients and neurological manifestations. J Infection. 2018;77(3):220–6.

    Article  Google Scholar 

  4. Zhou XY, de Man RA, de Knegt RJ, Metselaar HJ, Peppelenbosch MP, Pan QW. Epidemiology and management of chronic hepatitis E infection in solid organ transplantation: a comprehensive literature review. Rev Med Virol. 2013;23(5):295–304.

    Article  CAS  PubMed  Google Scholar 

  5. Mushahwar IK. Hepatitis E virus: Molecular virology, clinical features, diagnosis, transmission, epidemiology, and prevention. J Med Virol. 2008;80(4):646–58.

    Article  PubMed  Google Scholar 

  6. Zhou SY, Ren L, Xia XS, Miao ZJ, Huang F, Li YL, Zhu M, Xie ZR, Xu Y, Qian Y, et al. Hepatitis E virus infection in HIV-infected patients: a large cohort study in Yunnan province China. J Med Virol. 2018;90(6):1121–7.

    Article  CAS  PubMed  Google Scholar 

  7. Hakim MS, Wang WS, Bramer WM, Geng JW, Huang F, de Man RA, Peppelenbosch MP, Pan QW. The global burden of hepatitis E outbreaks: a systematic review. Liver Int. 2017;37(1):19–31.

    Article  PubMed  Google Scholar 

  8. Rein DB, Stevens GA, Theaker J, Wittenborn JS, Wiersma ST. The global burden of hepatitis E virus genotypes 1 and 2 in 2005. Hepatology. 2012;55(4):988–97.

    Article  PubMed  Google Scholar 

  9. Yue N, Wang Q, Zheng MY, Wang DL, Duan CX, Yu XG, Zhang XF, Bao CJ, Jin H. Prevalence of hepatitis E virus infection among people and swine in mainland China: a systematic review and meta-analysis. Zoonoses Public Hlth. 2019;66(3):265–75.

    Article  CAS  Google Scholar 

  10. Feng Y, Feng YM, Wang SM, Xu F, Zhang XH, Zhang CY, Jia YY, Yang WR, Xia XS, Yin JZ. High seroprevalence of hepatitis E virus in the ethnic minority populations in Yunnan, China. PloS one 2018, 13(5).

  11. Jia ZY, Yi Y, Liu JH, Cao JY, Zhang Y, Tian RG, Yu T, Wang H, Wang XY, Su QD et al. Epidemiology of Hepatitis E Virus in China: results from the Third National Viral Hepatitis Prevalence Survey, 2005–2006. PloS one 2014, 9(10).

  12. Dalton HR, Bendall R, Ijaz S, Banks M. Hepatitis E: an emerging infection in developed countries. Lancet Infectious Dis. 2008;8(11):698–709.

    Article  Google Scholar 

  13. Dong C, Dai X, Liang JH, Dong M, Meng JH. Seroprevalence of Hepatitis E Virus varies considerably among Chinese Provinces. Hepat Mon. 2012;12(6):386–90.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Wang MY, Fu P, Yin YH, He M, Liu Y. Acute, recent and past HEV infection among voluntary blood donors in China: a systematic review and meta-analysis. PloS One 2016, 11(9).

  15. Lagler H, Poeppl W, Winkler H, Herkner H, Faas A, Mooseder G, Burgmann H. Hepatitis E virus seroprevalence in Austrian Adults: a nationwide cross-sectional study among civilians and military professionals. PloS one 2014, 9(2).

  16. Verhoef L, Koopmans M, Duizer E, Bakker J, Reimerink J, van Pelt W. Seroprevalence of hepatitis E antibodies and risk profile of HEV seropositivity in The Netherlands, 2006–2007. Epidemiol Infect. 2012;140(10):1838–47.

    Article  CAS  PubMed  Google Scholar 

  17. Passos-Castilho AM, Reinaldo MR, de Sena A, Granato CFH. High prevalence of hepatitis E virus antibodies in Sao Paulo, Southeastern Brazil: analysis of a group of blood donors representative of the general population. Braz J Infect Dis. 2017;21(5):535–9.

    Article  PubMed  Google Scholar 

  18. Lu J, Zhou YD, Lin XJ, Jiang YZ, Tian RG, Zhang YH, Wu J, Zhang FW, Zhang Y, Wang Y et al. General epidemiological parameters of viral hepatitis A, B, C, and E in six regions of China: a cross-sectional study in 2007. PloS one 2009, 4(12).

  19. Yamada H, Takahashi K, Lim O, Svay S, Chuon C, Hok S, Do SH, Fujimoto M, Akita T, Goto N et al. Hepatitis E Virus in Cambodia: prevalence among the general population and complete genome sequence of genotype 4. PloS one 2015, 10(8).

  20. Takahashi M, Tamura K, Hoshino Y, Nagashima S, Yazaki Y, Mizuo H, Iwamoto S, Okayama M, Nakamura Y, Kajii E, et al. A Nationwide Survey of Hepatitis E Virus Infection in the General Population of Japan. J Med Virol. 2010;82(2):271–81.

    Article  PubMed  Google Scholar 

  21. Mansuy JM, Gallian P, Dimeglio C, Saune K, Arnaud C, Pelletier B, Morel P, Legrand D, Tiberghien P, Izopet J. A Nationwide Survey of Hepatitis E Viral Infection in French Blood Donors. Hepatology. 2016;63(4):1145–54.

    Article  PubMed  Google Scholar 

  22. van Gageldonk-Lafeber AB, van der Hoek W, Borlee F, Heederik DJJ, Mooi SH, Maassen CBM, Yzermans CJ, Rockx B, Smit LAM, Reimerink JHJ. Hepatitis E virus seroprevalence among the general population in a livestock-dense area in the Netherlands: a cross-sectional population-based serological survey. BMC Infect Dis. 2017, 17.

  23. El-Tras WF, Tayel AA, El-Kady NN. Seroprevalence of Hepatitis E Virus in humans and geographically matched food animals in Egypt. Zoonoses Public Hlth. 2013;60(3):244–51.

    Article  CAS  Google Scholar 

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Acknowledgements

We sincerely thank all the participants who took part in this study.

Funding

The work was supported by the Ministry of Education of China for an Innovative Research Team in University grant (No. IRT_17R88; to Z.M.) and the Fundamental Research Funds for the Central Universities (No. 31920200072). Funders has no role in the design of the study and collection, analysis, and interpretation of data, writing and publishing the manuscript.

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Author notes

  1. Huixia Li, Yinxia Zhang, and Zhongren Ma have contributed equally and should be consider as first authors

Authors and Affiliations

  1. Key Laboratory of Biotechnology and Bioengineering of State Ethnic Affairs Commission, Biomedical Research Center, Northwest Minzu University, Lanzhou, China

    Huixia Li, Yinxia Zhang, Zhongren Ma, Zewen Liu, Aqsa Ikram, Lijiang Liu, Guoqin Zhao & Qiuwei Pan

  2. Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, Yunnan, China

    Zulqarnain Baloch

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Contributions

All authors contributed to the concept of this study. PQ, MZ, and ZB designed the study. LH, LZ, YZ, AI, LL and GH analyzed data and wrote the manuscript. PQ, MZ, and ZB approved the final manuscript. All authors reviewed and approved the final draft. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Zulqarnain Baloch.

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Ethics approval and consent to participate

The protocol used in this study was in accordance with the Declaration of Helsinki and was approved by the Ethics Committee at Northwest Minzu University Lanzhou, China. Written consent was individually obtained from the participants.

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Competing interests

All authors declare they have no actual or potential competing interests.

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Supplementary information

Additional file 1.

Participants provincial background.

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Li, H., Zhang, Y., Ma, Z. et al. HEV prevalence and potential risk factors in a large multi-ethnic youth cohort in China. Virol J 18, 3 (2021). https://doi.org/10.1186/s12985-020-01470-3

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Virology Journal

ISSN: 1743-422X