<i>Toxoplasma gondii</i> Infection in Diabetes Mellitus Patients in China: Seroprevalence, Risk Factors, and Case-Control Studies

Li, Yong-Xin; Xin, Hai; Zhang, Xiang-Yan; Wei, Cui-Ying; Duan, Yu-He; Wang, Hao-Fu; Niu, Hai-Tao

doi:https://doi.org/10.1155/2018/4723739

BioMed Research International

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Abstract Introduction Materials and Methods Results Discussion Conclusion Data Availability Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2018 | Article ID 4723739 | https://doi.org/10.1155/2018/4723739

Toxoplasma gondii Infection in Diabetes Mellitus Patients in China: Seroprevalence, Risk Factors, and Case-Control Studies

Yong-Xin Li,¹Hai Xin,¹Xiang-Yan Zhang,²Cui-Ying Wei,³Yu-He Duan,⁴Hao-Fu Wang,¹and Hai-Tao Niu⁵

Academic Editor: Eric N. Villegas

Received11 Apr 2018

Revised05 Aug 2018

Accepted06 Nov 2018

Published18 Dec 2018

Abstract

The association between Toxoplasma gondii (T. gondii) infection and diabetes mellitus remains controversial. With the improvement of living standards, the prevalence rate of diabetes is steadily increasing in China. Thus, it is necessary to explore the possible association between toxoplasmosis and diabetes mellitus in China. Hence, case-control studies were conducted to explore the T. gondii seroprevalence and identify the risk factors and possible transmission routes of T. gondii infection in different types of diabetes, including type 1 diabetes (T1DM), type 2 diabetes (T2DM), and gestational diabetes (GDM) patients in China. Four hundred serum samples for each type of diabetes mellitus, matched with 400 control subjects for each group, were collected and examined for anti-T. gondii IgG and IgM antibodies using commercially available enzyme immunoassay kits. The total T. gondii seroprevalence in T1DM, T2DM, and GDM patients was 16.50%, 23.50%, and 21.25%, respectively. Each type of diabetes mellitus patients had a significantly higher T. gondii seroprevalence than the control subjects. Multivariate regression identified three variables as risk factors for T. gondii infection in diabetes patients, including keeping cats at home and consumption of raw oysters for T1DM patients and consumption of raw/undercooked meat and raw oysters for T2DM patients, which may help to guide future research and control policies in diabetes mellitus patients.

1. Introduction

Toxoplasma gondii, an obligate intracellular opportunistic parasite, can infect nearly all types of warm-blood animals, including humans [1]. Notably, nearly one-third of the human population worldwide have been estimated to be infected with this parasite, and over 7% of Chinese have chronic T. gondii infection [1–3]. In general, most T. gondii infections do not cause significant clinical symptoms [4]. But in some cases, infected persons may present clinical symptoms of toxoplasmosis such as lymphangoncus, cerebral, and eye diseases [4–6]. In some extreme cases, T. gondii infection can be reactivated and lead to a life-threatening disease with involvement of the central nervous system in immunocompromised patients [4, 5]. T. gondii can reach many organs of the host after infection [7], including the pancreas [8].

Diabetes mellitus is a common chronic metabolic disease and more than 300 million persons worldwide are projected to be affected by this disease in 2030 [9]. With the improvement of living standards, the prevalence rate of diabetes has steadily increased in China. The sensitivity and susceptibility to various infections can be higher in diabetes mellitus patients [10]. In some cases, the Apicomplexan parasite, T. gondii, has been proposed as a possible cause of diabetes, and current information is nearly predicated on this issue [11–13]. Meanwhile, chronic toxoplasmosis has been considered as a potential risk factor for type 2 diabetes (T2DM) identified by a meta-analysis of studies on the association between chronic toxoplasmosis and diabetes mellitus [13]. However, type 1 diabetes (T1DM) patients in Colombia were found to have significantly lower T. gondii seroprevalence [14]. In USA, no association was found between T. gondii infection and diabetes mellitus in a prospective cohort of elderly Latinos [15]. Since data of previous studies on the association between T. gondii infection and diabetes mellitus remain controversial, we conducted matched case-control studies to determine whether T. gondii seropositivity is associated with different clinical types of diabetes mellitus, including T1DM, T2DM, and gestational diabetes (GDM), and explore the risk factors for T. gondii infection in diabetes patients for the first time in China.

2. Materials and Methods

2.1. Study Sites

The study was conducted in The Affiliated Hospital of Qingdao University, Qingdao (35°35′–37°09′N, 119°30′–121°00′E), Shandong province, eastern China. The Affiliated Hospital of Qingdao University is a large comprehensive hospital in Shandong province that occupies an important position in the national medical system. The patients at this hospital mainly come from five provinces (Shandong, Jiangsu, Liaoning, Jilin, and Heilongjiang).

2.2. Study Design and Sample Collection

Through case-control studies, we studied T. gondii seroprevalence and identified the risk factors and possible transmission routes of T. gondii infection in diabetes mellitus patients and control subjects in China between September 2014 and January 2017. A total of 1200 diabetes mellitus patients who visited the Affiliated Hospital of Qingdao University were included in the study. Three types of diabetes mellitus patients (T1DM, T2DM, and GDM) were invited to participate in this study. The number of patients of each type was 400 (Tables 1–3).

A total of 1200 control subjects, matched with diabetes mellitus patients by age, gender, and residence, were included in the study. Serum samples were obtained from persons who participated in health screening at the Affiliated Hospital of Qingdao University.

Approximately 5 mL of venous blood samples was drawn from participants who gave their consent to participate in this study. Blood samples were left overnight at room temperature to allow clotting and centrifuged at 3000 rpm for 10 minutes. The sera were collected in Eppendorf tubes and stored at 4°C for 24-72 hours and then kept at -20°C until testing.

2.3. Sociodemographic, Clinical, and Behavioral Data Collection

Sociodemographic data including age, gender, area of residence, and employment were obtained from all participants. Clinical data including the type of diabetes and behavioral data including obesity and overweight, keeping cats at home, consumption of raw/undercooked meat, fish, oysters, raw vegetables and fruits, gardening or agricultural activities, exposure to soil, source of drinking water, and washing hands before meals were collected from the participants. These variables were selected based on published literature [15, 16]. Data was obtained from the patients/guardians, medical examination records, and informants. Patients were invited to provide veridical information and were informed that their data were used in a confidential manner.

2.4. Serological Assay

Sera were analyzed for the presence of IgG and IgM antibodies against T. gondii using commercially available enzyme immunoassay kits (Demeditec Diagnostics GmbH, Germany) according to the manufacturer’s instructions. Clinical specificity and sensitivity of IgG kit were 99% and 98%, respectively. Clinical specificity and sensitivity of IgM kit were 99% and 100%, respectively [16, 17]. Positive and negative serum controls were included in every plate. To avoid bias of results, the serology test was performed double-blinded. Samples from diabetes mellitus patients and control group were randomly mixed, and the person performing the test did not know the source of samples in advance [16, 17].

2.5. Statistical Analysis

Results were analyzed with SPSS 18.0 software package. For the univariate analysis, Chi-square test was used to compare the categorical variables. The Mantel-Haenszel test was used to probe any differences between the patient and control groups. Multivariate regression models were used to adjust for potential confounders. Variables were included in the multivariate analysis if they had a p value ≤0.25 in the univariate analysis [17, 18]. Odds ratios (ORs) and the corresponding 95% confidence interval (CI) were calculated, in order to identify the independent risk factors for T. gondii infection. Results with a p value <0.05 were considered as statistically significant.

2.6. Ethics Approval and Consent to Participate

The study protocol was reviewed and approved by the Ethics Committee of the Affiliated Hospital of Qingdao University. The aim of the study was explained to the patients and they provided written consent for their participation in the study. Control sera were collected from volunteers.

3. Results

3.1. Epidemiology of T1DM Patients with T. gondii Infection

T1DM patients (16.50%) had a significantly higher T. gondii seroprevalence than the control subjects (11.50%) (p=0.042). Of these, 53 T1DM patients (13.25%) were found to be positive for T. gondii IgG antibodies, as compared to 40 controls (10.00%), and the difference was not statistically significant (p=0.152). T. gondii IgM antibodies were detected in 15 of the 400 T1DM patients and in seven of the 400 controls (3.75% versus 1.75%, respectively, p=0.084). The details of T1DM patients and control subjects, including age distribution, gender, employment, and area of residence, are shown in Table 1. The highest seroprevalence of T. gondii infection was detected in T1DM patients in the age range of ≤30 years (24.19%). T1DM patients living in Shandong province (20.00%) had a higher T. gondii seroprevalence than those living in Jilin (14.89%) and Heilongjiang (12.36%) provinces, but the difference was not significant (p=0.237). There were no significant differences between female (18.13%) and male (14.98%) T1DM patients (p = 0.395). The seroprevalence of T. gondii infection among the T1DM patients who lived in rural areas (18.18%) was slightly higher than those who lived in urban areas (14.85%), but the difference was not statistically significant (p=0.370). Moreover, T. gondii infection seroprevalence was not significantly different among T1DM patients with different types of employment (p=0.261).

3.2. Epidemiology of T2DM Patients with T. gondii Infection

T2DM patients (23.50%) had a significantly higher T. gondii seroprevalence than the control subjects (11.75%) (p<0.001). A total of 77 T2DM patients (19.25%) were found to be positive for T. gondii IgG antibodies, as compared to 37 controls (9.25%), and the difference was statistically significant (p<0.001). T. gondii IgM antibodies were detected in 19 of the 400 T2DM patients and in 11 of the 400 controls (4.75% versus 2.75%, respectively, p=0.137). The details of T2DM patients and control subjects, including age distribution, gender, employment, and area of residence, are shown in Table 2. The highest seroprevalence of T. gondii infection was detected in T1DM patients in the age range of 51-60 years (25.81%). T2DM patients living in Shandong province (28.85%) had a higher T. gondii seroprevalence than those living in Jilin (22.54%) and Heilongjiang (16.67%) provinces, but the difference was not significant (p=0.074). There were no significant differences between male (24.75%) and female (22.22%) T2DM patients (p = 0.551). The seroprevalence of T. gondii infection among the T2DM patients who lived in urban areas (25.00%) was slightly higher than those who lived in rural areas (22.00%), but the difference was not statistically significant (p=0.479). Moreover, T. gondii infection seroprevalence was not significantly different among T2DM patients with different types of employment (p=0.118).

3.3. Epidemiology of GDM Patients with T. gondii Infection

GDM patients (21.25%) had a significantly higher T. gondii seroprevalence than the control subjects (12.00%) (p=0.042). A total of 70 GDM patients (17.50%) were found to be positive for T. gondii IgG antibodies, as compared to 37 controls (9.25%), and the difference was statistically significant (p<0.001). T. gondii IgM antibodies were detected in 18 of the 400 GDM patients and in 11 of the 400 controls (4.50% versus 2.75%, respectively, p=0.186). The details of GDM patients and control subjects, including age distribution, gender, employment, and area of residence, are shown in Table 3. The highest seroprevalence of T. gondii infection was detected in GDM patients in the age range of >40 years (38.71%), and significant difference was found among different age groups (p=0.043). GDM patients living in Shandong province (24.69%) had a higher T. gondii seroprevalence than those living in Jilin (12.31%) and Heilongjiang (18.95%) provinces, but the difference was not significant (p=0.079). The seroprevalence of T. gondii infection among the GDM patients who lived in rural areas (20.20%) was slightly lower than those who lived in urban areas (22.28%), but the difference was not statistically significant (p=0.612). Moreover, T. gondii seroprevalence was not significantly different among GDM patients with different types of employment (p=0.081).

3.4. Risk Factors Associated with T. gondii Infection

Univariate analysis showed that some lifestyle variables of T1DM patients had a p value ≤0.25, including obesity and overweight, keeping cats at home, consumption of raw/undercooked meat, oysters, and fish, and source of drinking water. Six lifestyle variables of T2DM patients had a p value ≤0.25 through univariate analysis. They are obesity and overweight, keeping cats at home, consumption of raw/undercooked meat, fish, oysters, and raw vegetables and fruits. In GDM patients, keeping cats at home and consumption of raw/undercooked meat, fish, and oysters had a p value ≤0.25 by univariate analysis. In the multivariate analysis, keeping cats at home (OR=2.885; 95% CI: 1.37-6.07; p = 0.005) and consumption of oysters (OR=13.19; 95% CI: 2.91-59.82; p = 0.001) were associated with significantly increased odds of T. gondii infection in T1DM patients (Table 4). Consumption of raw/undercooked meat (OR=2.663; 95% CI: 1.08-6.56; p = 0.033) and oysters (OR=4.785; 95% CI: 1.98-11.45; p<0.001) was associated with significantly increased odds of T. gondii infection in T2DM patients (Table 4). There was no evidence of a significant association between T. gondii status and the selected variables in GDM patients (Table 4).

4. Discussion

The association between T. gondii infection and diabetes mellitus remains controversial, with few studies reporting conflicting results [19, 20]. Thus, the present study was conducted to determine whether T. gondii infection is associated with different types of diabetes mellitus in eastern China. The results showed that diabetes mellitus patients had higher frequencies of antibodies against T. gondii as compared to control subjects. Thus, our findings based on serological methods supported an association between diabetes mellitus and T. gondii infection.

Type 1 diabetes mellitus (T1DM) is an autoimmune disease with complex interactions between genetic and environmental factors [14]. The enteroviruses and other infectious agents were found to be associated with T1DM [21]. In the present study, T1DM patients had a significantly higher T. gondii seroprevalence than the controls (p=0.042), suggesting that T1DM patients are more likely to be infected with T. gondii. However, further targeted studies should be conducted to explore and confirm the association between T1DM and T. gondii infection.

Type 2 diabetes mellitus (T2DM), a major global health problem, is a complex metabolic disease [11]. The incidence of T2DM has notably increased in recent years, in both developed and developing countries [22]. Various infections, including T. gondii, may easily appear in T2DM patients because they are immunocompromised [23]. In the present study, T2DM patients had a significantly higher T. gondii seroprevalence than the control subjects (p<0.001). These evidences indicated a potential association between T. gondii infection and T2DM implying that T. gondii infection may increase susceptibility to T2DM, while T2DM patients are more vulnerable to opportunistic infections such as T. gondii. Importantly, the clinician should pay more attention to T. gondii infection when they diagnose and treat T2DM patients given the high prevalence of T. gondii infection in T2DM patients, and T. gondii infection may aggravate the T2DM status.

T. gondii infection during pregnancy may cause serious consequences such as miscarriage, microcephaly, hydrocephalus, and severe neurological disorders in the fetus [5]. In addition, in immunodeficient individuals, released bradyzoites from tissue cysts switching back into rapidly multiplying tachyzoites could cause reactivation of latent infection and dissemination throughout the body [24]. The immune system in diabetes mellitus patients is affected, and GDM patients are more susceptible to T. gondii infection. In the present study, GDM patients had a significantly higher T. gondii seroprevalence than the control subjects (p<0.001). Thus, serological screening of GDM patients is needed, followed by proper treatment of the T. gondii infection [25]. Moreover, information about toxoplasmosis and its transmission routes should be given to GDM patients as part of prenatal care.

The first epidemiological investigation on T. gondii infection in humans in China was conducted in Guangxi Zhuang Autonomous Region in 1978 [26]. Now, toxoplasmosis has become a notifiable disease in China. However, there are no national guidelines for the prevention of toxoplasmosis in China. Humans acquire the infection through three major routes: consumption of undercooked meat containing T. gondii tissue cysts, ingesting oocysts-contaminated water, soil, vegetables, and fruits, and transmission from mother to fetus during pregnancy [1, 27]. As expected, we found that keeping cats at home and consumption of raw/undercooked meat were associated with significantly increased odds of T. gondii infection in diabetic patients. These two risk factors have been identified in many studies in China [16, 28–30]. Interestingly, fresh oyster consumption was also a potential risk factor for T. gondii infection in T1DM and T2DM patients, which was similar to a study reported from the United States [31]. T. gondii oocysts can be washed into the sea via rainwash and runoff [32, 33], and shellfish including oysters, clams, and mussels can ingest the oocysts directly from seawater [1, 32–37]. In China, T. gondii oocysts have been detected in oysters [38] and consumption of fresh oysters is common in recent years, which may explain the higher T. gondii seroprevalence in the diabetes mellitus patients who consume raw oysters than those who do not consume raw oysters. Thus, knowledge of these risk factors will help in prevention efforts.

Some limitations of the present study should be kept in mind. First, our study participants might not represent the general clinically healthy individuals, pregnant women, and diabetes mellitus population due to the potential limitation of enrollment methods. Therefore, potential selection bias should be considered when interpreting our results. Second, serology could not clearly indicate the infection status as current infection or past infection; potential bias caused by such misclassification could not be eliminated. Moreover, molecular identification, taxonomy, genetic variation, and diagnosis of T. gondii should be considered in further studies. Third, more effective statistical analysis methods should be used to confirm the association between diabetes mellitus and T. gondii infection. Therefore, our results need to be proved in further studies.

5. Conclusion

This study provided serological evidence of an association between T. gondii infection and three types of diabetes mellitus (T1DM, T2DM, and GDM). Moreover, keeping cats at home and consumption of raw/undercooked meat and raw oysters were risk factors for T. gondii positivity using multivariate regression, which may help to guide future research and control policies. Further studies should be conducted to elucidate the role of T. gondii in diabetes mellitus.

Data Availability

The clinical and behavioral data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Yong-Xin Li and Hai Xin are equal contributors.

Acknowledgments

Project support was provided by the Natural Science Foundation of Shandong Province (ZR2016HQ18, ZR2014HM088) and National Natural Science Foundation of China (81472411, 81772713, and 81372752).

References

J. P. Dubey, Toxoplasmosis of Animals and Humans, CRC Press, Boca Raton, FL, 2nd edition, 2010.
N. Yang, D. Wang, M. Xing et al., “Seroepidemiology and risk factors of Toxoplasma gondii infection among the newly enrolled undergraduates and postgraduate students in China,” Frontiers in Microbiology, vol. 8, 2017.
View at: Google Scholar
P. Zhou, Z. Chen, and H. L. Li, “Toxoplasma gondii infection in humans in China,” Parasites and Vectors, vol. 24, no. 4, p. 165, 2011.
View at: Google Scholar
G. Saadatnia and M. Golkar, “A review on human toxoplasmosis,” Infectious Diseases, vol. 44, no. 11, pp. 805–814, 2012.
View at: Publisher Site | Google Scholar
J. G. Montoya and O. Liesenfeld, “Toxoplasmosis,” The Lancet, vol. 363, no. 9425, pp. 1965–1976, 2004.
View at: Publisher Site | Google Scholar
S. Pradhan, R. Yadav, and V. N. Mishra, “Toxoplasma meningoencephalitis in HIV-seronegative patients: clinical patterns, imaging features and treatment outcome,” Transactions of the Royal Society of Tropical Medicine and Hygiene, vol. 101, no. 1, pp. 25–33, 2007.
View at: Publisher Site | Google Scholar
K. S. Harker, N. Ueno, and M. B. Lodoen, “Toxoplasma gondii dissemination: a parasite's journey through the infected host,” Parasite Immunology, vol. 37, no. 3, pp. 141–149, 2015.
View at: Publisher Site | Google Scholar
D. M. Parenti, W. Steinberg, and P. Kang, “Infectious causes of acute pancreatitis,” Pancreas, vol. 13, no. 4, pp. 356–371, 1996.
View at: Publisher Site | Google Scholar
S. Wild, G. Roglic, A. Green, R. Sicree, and H. King, “Global prevalence of diabetes: estimates for the year 2000 and projections for 2030,” Diabetes Care, vol. 27, no. 5, pp. 1047–1053, 2004.
View at: Publisher Site | Google Scholar
N. Joshi, G. M. Caputo, M. R. Weitekamp, and A. W. Karchmer, “Infections in patients with diabetes mellitus,” The New England Journal of Medicine, vol. 341, no. 25, pp. 1906–1912, 1999.
View at: Publisher Site | Google Scholar
D.-W. Shin, D.-Y. Cha, Q. J. Hua, G.-H. Cha, and Y.-H. Lee, “Seroprevalence of Toxoplasma gondii infection and characteristics of seropositive patients in general hospitals in Daejeon, Korea,” The Korean Journal of Parasitology, vol. 47, no. 2, pp. 125–130, 2009.
View at: Publisher Site | Google Scholar
S. Shirbazou, A. Delpisheh, R. Mokhetari, and G. Tavakoli, “Serologic detection of anti toxoplasma gondii infection in diabetic patients,” Iranian Red Crescent Medical Journal, vol. 15, no. 8, pp. 701–703, 2013.
View at: Publisher Site | Google Scholar
H. Majidiani, S. Dalvand, A. Daryani, M. D. L. L. Galvan-Ramirez, and M. Foroutan-Rad, “Is chronic toxoplasmosis a risk factor for diabetes mellitus? A systematic review and meta-analysis of case–control studies,” The Brazilian Journal of Infectious Diseases, vol. 20, no. 6, pp. 605–609, 2016.
View at: Publisher Site | Google Scholar
I. Krause, J. M. Anaya, A. Fraser et al., “Anti-infectious antibodies and autoimmune-associated autoantibodies in patients with type i diabetes mellitus and their close family members,” Annals of the New York Academy of Sciences, vol. 1173, pp. 633–639, 2009.
View at: Publisher Site | Google Scholar
C. Y. Jeon, M. N. Haan, C. Cheng et al., “Helicobacter pylori infection is associated with an increased rate of diabetes,” Diabetes Care, vol. 35, no. 3, pp. 520–525, 2012.
View at: Publisher Site | Google Scholar
N. Zhou, X. Y. Zhang, Y. X. Li, L. Wang, L. L. Wang, and W. Cong, “Seroprevalence and risk factors of Toxoplasma gondii infection in oral cancer patients in China: a case–control prospective study,” Epidemiology and Infection, vol. 146, no. 15, pp. 1891–1895, 2018.
View at: Publisher Site | Google Scholar
W. Cong, G.-H. Liu, Q.-F. Meng et al., “Toxoplasma gondii infection in cancer patients: prevalence, risk factors, genotypes and association with clinical diagnosis,” Cancer Letters, vol. 359, no. 2, pp. 307–313, 2015.
View at: Publisher Site | Google Scholar
R. M. Mickey and S. Greenland, “The impact of confounder selection criteria on effect estimation,” American Journal of Epidemiology, vol. 129, no. 1, pp. 125–137, 1989.
View at: Publisher Site | Google Scholar
C. Alvarado-Esquivel, N. Loera-Moncivais, J. Hernandez-Tinoco et al., “Lack of association between Toxoplasma gondii infection and diabetes mellitus: A matched case-control study in a Mexican population,” Journal of Clinical Medicine Research, vol. 9, no. 6, pp. 508–511, 2017.
View at: Publisher Site | Google Scholar
E. V. Nassief Beshay, S. A. El-Refai, M. A. Helwa, A. F. Atia, and M. M. Dawoud, “Toxoplasma gondii as a possible causative pathogen of type-1 diabetes mellitus: Evidence from case-control and experimental studies,” Experimental Parasitology, vol. 188, pp. 93–101, 2018.
View at: Publisher Site | Google Scholar
K. M. Drescher, M. von Herrath, and S. Tracy, “Enteroviruses, hygiene and type 1 diabetes: Toward a preventive vaccine,” Reviews in Medical Virology, vol. 25, no. 1, pp. 19–32, 2015.
View at: Publisher Site | Google Scholar
J. Flegr, J. Prandota, M. Sovičková, and Z. H. Israili, “Toxoplasmosis - A global threat. Correlation of latent toxoplasmosis with specific disease burden in a set of 88 countries,” PLoS ONE, vol. 9, no. 3, Article ID e90203, 2014.
View at: Publisher Site | Google Scholar
Y. Han, L. Nie, X. Ye et al., “The association between Toxoplasma gondii infection and hypertensive disorders in T2DM patients: a case-control study in the Han Chinese population,” Parasitology Research, vol. 117, no. 3, pp. 689–695, 2018.
View at: Publisher Site | Google Scholar
W. J. Sullivan Jr and V. Jeffers, “Mechanisms of Toxoplasma gondii persistence and latency,” FEMS Microbiology Reviews, vol. 36, no. 3, pp. 717–733, 2012.
View at: Publisher Site | Google Scholar
J. Saki, S. Shafieenia, and M. Foroutan-Rad, “Seroprevalence of toxoplasmosis in diabetic pregnant women in southwestern of Iran,” Journal of Parasitic Diseases, vol. 40, no. 4, pp. 1586–1589, 2016.
View at: Publisher Site | Google Scholar
X.-G. Chen, B.-Y. Wu, J.-K. Wang, and T. Bai, “Mechanism of the protective effects of noninvasive limbs preconditioning on myocardial ischemia-reperfusion injury,” Chinese Medical Journal, vol. 118, no. 20, pp. 1723–1727, 2005.
View at: Google Scholar
D. Wang, Y. Liu, T. Jiang et al., “Seroprevalence and genotypes of Toxoplasma gondii isolated from pigs intended for human consumption in Liaoning province, northeastern China,” Parasites & Vectors, vol. 9, no. 1, 2016.
View at: Google Scholar
A.-L. Tian, Y.-L. Gu, N. Zhou et al., “Seroprevalence of Toxoplasma gondii infection in arthritis patients in eastern China,” Infectious Diseases of Poverty, vol. 6, no. 1, p. 153, 2017.
View at: Publisher Site | Google Scholar
X.-X. Zhang, Q. Zhao, C.-W. Shi et al., “Seroprevalence and associated risk factors of Toxoplasma gondii infection in the Korean, Manchu, Mongol and Han ethnic groups in eastern and northeastern China,” Epidemiology and Infection, vol. 144, no. 9, pp. 2018–2024, 2016.
View at: Publisher Site | Google Scholar
Y.-J. Zhao, Y.-H. Zhao, X.-Y. Zhang et al., “First Report of Toxoplasma gondii Infection in Tuberculosis Patients in China,” Vector-Borne and Zoonotic Diseases, vol. 17, no. 12, pp. 799–803, 2017.
View at: Publisher Site | Google Scholar
J. L. Jones, V. Dargelas, J. Roberts, C. Press, J. S. Remington, and J. G. Montoya, “Risk factors for Toxoplasma gondii infection in the United States,” Clinical Infectious Diseases, vol. 49, no. 6, pp. 878–884, 2009.
View at: Publisher Site | Google Scholar
J. P. Dubey, “Toxoplasmosis—a waterborne zoonosis,” Veterinary Parasitology, vol. 126, no. 1-2, pp. 57–72, 2004.
View at: Publisher Site | Google Scholar
D. S. Lindsay, M. V. Collins, S. M. Mitchell et al., “Sporulation and Survival of Toxoplasma gondii Oocysts in Seawater,” The Journal of Eukaryotic Microbiology, vol. 50, pp. S687–S688, 2003.
View at: Publisher Site | Google Scholar
A. Bigot-Clivot, M. Palos Ladeiro, A. Lepoutre et al., “Bioaccumulation of Toxoplasma and Cryptosporidium by the freshwater crustacean Gammarus fossarum: Involvement in biomonitoring surveys and trophic transfer,” Ecotoxicology and Environmental Safety, vol. 133, pp. 188–194, 2016.
View at: Publisher Site | Google Scholar
G. N. Massie, M. W. Ware, E. N. Villegas, and M. W. Black, “Uptake and transmission of Toxoplasma gondii oocysts by migratory, filter-feeding fish,” Veterinary Parasitology, vol. 169, no. 3-4, pp. 296–303, 2010.
View at: Publisher Site | Google Scholar
L. Putignani, L. Mancinelli, F. D. Chierico et al., “Investigation of Toxoplasma gondii presence in farmed shellfish by nested-PCR and real-time PCR fluorescent amplicon generation assay (FLAG),” Experimental Parasitology, vol. 127, no. 2, pp. 409–417, 2011.
View at: Publisher Site | Google Scholar
K. C. Schott, C. Krusor, M. T. Tinker, J. Moore, P. A. Conrad, and K. Shapiro, “Concentration and retention of Toxoplasma gondii surrogates from seawater by red abalone (Haliotis rufescens),” Parasitology, vol. 143, no. 13, pp. 1703–1712, 2016.
View at: Publisher Site | Google Scholar
W. Cong, N.-Z. Zhang, J.-L. Hou et al., “First detection and genetic characterization of Toxoplasma gondii in market-sold oysters in China,” Infection, Genetics and Evolution, vol. 54, pp. 276–278, 2017.
View at: Publisher Site | Google Scholar

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Copyright © 2018 Yong-Xin Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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