A Positive Association between T. gondii Seropositivity and Obesity.

Obesity is a global public health problem that is linked with morbidity, mortality, and functional limitations and has limited options for sustained interventions. Novel targets for prevention and intervention require further research into the pathogenesis of obesity. Consistently, elevated markers of inflammation have been reported in association with obesity, but their causes and consequences are not well understood. An emerging field of research has investigated the association of infections and environmental pathogens with obesity, potential causes of low grade inflammation that may mediate obesity risk. In this study, we estimate the possible association between Toxoplasma gondii (T. gondii) infection and obesity in a sample of 999 psychiatrically healthy adults. Individuals with psychiatric conditions, including personality disorders, were excluded because of the association between positive serology to T. gondii and various forms of serious mental illness that have a strong association with obesity. In our sample, individuals with positive T. gondii serology had twice the odds of being obese compared to seronegative individuals (p = 0.01). Further, individuals who were obese had significant higher T. gondii IgG titers compared to individuals who were non-obese. Latent T. gondii infection is very common worldwide, so potential public health interventions related to this parasite can have a high impact on associated health concerns.

Introduction

Approximately 57% of the world’s adult population is projected to be obese or overweight by 2030 (1), highlighting the pressing need for research on obesity pathogenesis to identify novel targets for intervention. Public perception is that lifestyle practices have “a lot to do” with causing obesity (2), and the American Heart Association emphasizes accurate tracking of diet and activity for weight management (3). However, lifestyle intervention often results in modest and unsustained weight loss (4). Emerging research on etiology of obesity has investigated the potential role of environmental infections, a concept referred to as “infectobesity” (5, 6), as well as gut microbiota (7) in obesity pathogenesis. If the suspected role of infection in obesity is confirmed, then individuals with obesity of this type might be treated by specifically addressing underlying causes rather than relying on a standard diet and activity intervention (8). Moreover, novel prevention strategies may be developed that may supplement the current, relatively stagnant, diet, and activity recommendations.

The first report of virus-induced obesity in an animal model was reported by Lyons et al. (9) after exposing mice to canine distemper virus. Since that time, several viruses have been shown to cause obesity in animal models (6). Herpes simplex viruses 1 and 2, gut microflora, Helicobacter pyloris, Selenomonas noxia, and Chlamydophila pneumonia have been studied for possible association of infection with obesity, with adenovirus 36 (Ad36) being the most studied in humans (10), although a causal role is unclear (11). Yamada et al. (12) reported an association of Ad36 infection with obesity risk and weight gain, but not with abdominal obesity (i.e., increased waist circumference), suggesting that Ad36 infection is preferentially associated with accumulation of subcutaneous fat as opposed to visceral fat. Interestingly, but consistent with the concept that proliferation of subcutaneous fat may avert the storage of metabolically harmful “ectopic fat” in the liver and omentum, insulin sensitivity and glycemic control was shown to be superior in individuals seropositive for Ad36 compared with seronegative individuals (13).

Possible mechanisms for infection-induced obesity may involve a peripheral effect on fat cell differentiation and storage or a central effect on appetite (6). Adipose tissue expansion may occur during acute infection only or possibly sustained during latent or chronic illness (14).

An understudied pathogen of potential interest in obesity research is the protozoan parasite Toxoplasma gondii (T. gondii). T. gondii is a parasite common in both developed and developing countries (15), infecting approximately 30% of the population worldwide (16). Its life cycle involves distinct developmental stages. It takes the form of a rapidly replicating tachyzoite during acute infection and progresses in an immunocompetent host to a slower, relatively dormant growing bradyzoite within tissue cysts. Sexual reproduction or oocyst state can only be achieved if the parasite is transmitted to a feline host (17). The most common cause of human infection is by ingestion of undercooked meat or incomplete washing of contaminated vegetables, but can also occur via accidental inoculation of tachyzoites, organ transplantation, blood transfusion, or transplacental transmission from infected mothers (18). Acute infection may cause minimal (e.g., lymphadenopathy) or no symptoms, and latent infection in an immunocompetent individual is likely to become symptomatic only under conditions of immunosuppression (15). Individuals are not routinely screened for infection unless they are pregnant or immunocompromised.

Experimentally, in rats, T. gondii infection was associated with significant weight gain after 30 days of inoculation followed by weight loss over the next 60 days (19). The authors hypothesized that weight gain may have been due to direct central effects, i.e., behavioral changes (e.g., increased food intake) associated with T. gondii cysts in the brain and/or indicated central effects, e.g., altered hypothalamic function (e.g., appetite regulation) caused by peripheral tissue inflammation. Weight related effects of T. gondii infection may be influenced by strain. In another animal study, two different strains of T. gondii had opposite effects on body weight (20).

The only previous study investigating the possible association between T. gondii and obesity in humans reported negative results. Thjodleifsson et al. (21) measured T. gondii IgG antibodies among individuals participating in the European Community Health Survey I. There was no significant difference in presence of antibodies among individuals who were overweight (BMI ≥25 kg/m2) compared to those who were not overweight. A possible factors which may have influenced the lack of association was the exclusion of adults >44 years old, since acquired toxoplasmosis increases with age.

In our study, we investigated the possible association between obesity and toxoplasmosis in a sample of adults (including individuals 18–80 years), in a country (Germany) with a high seroprevalence rate of T. gondii infection. We hypothesized that positive T. gondii serology will be more common among individuals who are obese compared to those who are non-obese, and that antibody titers will be higher for the obese individuals. We also tested for an association between obesity and seropositivity of two other common latent infections that often co-occur with toxoplasmosis (CMV and HSV1) to see if the association is specific to T. gondii.

Materials and Methods

Participants

Detailed recruitment methodology is described in Serretti (22). Adult male and female individuals ages 18–80 years old were randomly selected from the Munich, city registry in Germany and invited by mail to participate. Study recruitment began in 1998. Those who responded were screened by phone to obtain medical and psychiatric histories. Individuals whose phone screening was negative were invited to complete a clinic visit where they underwent the Structured Clinical Interview for DSM-IV [SCID I and SCID II; (23–25)] to validate the absence of any lifetime history of mental illness and personality disorders. The participants also underwent a neurological examination to exclude the presence of any current CNS impairment and the Family History Assessment Module (26) was administered to rule out the presence of psychiatric disorders in their first-degree relatives. The Mini Mental State Examination was used to rule out possible cognitive impairment in those older than 60 years. Weight and height was obtained by self-report. Waist circumference was measured at the study visit. Education level, graded according to a three-level variable (1 for secondary school; 2 for junior high school, and 3 for general qualification for university entrance) was used to define socioeconomic status.

The study was conducted in accordance with the ethical standards of the 1964 Declaration of Helsinki and with approval of the local ethics committee in Germany. Written informed consent was obtained from all subjects.

T. gondii serological analysis

Solid phase enzyme immunoassay method was used to test for IgG antibodies to T. gondii as previously described (27). This procedure involved exposure of diluted serum to antigens embedded on the wells of microtiter plates. Antibody binding was quantified by reaction labeled anti-human IgG with the enzyme substrate. Quantitative measurement of antibodies (i.e., serointensity) was based on the ratio of the optical density of the blood sample and a standard containing 10 international units of anti-T. gondii antibody. Seropositivity was defined as a T. gondii IgG titer ≥0.8 (27). The lab analysis was done at Dr. Robert Yolken’s lab at Johns Hopkins University supported by Stanley Medical Research Institute. The technician was blind to the study hypothesis.

Data analysis plan

Descriptive statistics included proportions for categorical variables and means, standard deviations for continuous variables; continuous distributions were inspected for outliers and skewing. Proportions were compared by chi-squared tests; means were compared by t-tests or one-way ANOVA with LSD post hoc comparisons. Logistic regression models were built to assess relative odds for obesity comparing T. gondii seropositives with seronegatives. Linear regression models were built to estimate adjusted mean T. gondii serum IgG titers by waist circumference. Age, sex, and education were included in models if they changed coefficients by approximately 10% or more, or were significantly associated with the outcome.

Results

The continuous BMI variable was used to generate three strata of obesity categories – obese (BMI >30 kg/m2), overweight (BMI ≤30 or ≥25), and non-obese/overweight (BMI <25 kg/m2). The weight and height given by one participant indicated a BMI of >65, suggesting a rare, genetic cause of obesity. This individual was excluded from all further analyses and tables. Demographics of the participant sample and BMI distribution by T. gondii seropositivity status (positive or negative) are presented in Table 1. As expected, there was a significantly increasing trend of seropositivity with age (i.e., increased time for possible environmental exposure). Gender was not associated with obesity. Male and female gender were almost evenly distributed in the entire sample and in both the T. gondii positive and negative groups so gender was not adjusted in the analysis. Individuals with higher levels of education had lower odds of obesity compared with those with lower education background. About 7.4% of the sample was obese (BMI ≥30 kg/m2).

Table 1

Demographics of study sample.

	T. gondii seropositivity			p Value
	Positive N = 498	Negative N = 501	Combined N = 999
	N (%)	N (%)	N (%)
Sex
Male	255 (51.2)	235 (46.9)	490 (49.1)	0.17
Female	243 (48.8)	266 (53.1)	509 (51.0)
Education level
1	153 (30.7)	92 (18.4)	245 (24.6)	<0.0001
2	155 (31.1)	147 (29.4)	302 (30.3)
3	190 (38.2)	261 (52.2)	451 (45.2)
Age (quartiles)
<40 years	59 (11.9)	179 (35.7)	238 (23.8)	<0.0001
40 to <60	122 (24.5)	141 (28.1)	263 (26.3)
60 to <67	130 (26.1)	97 (19.4)	227 (22.7)
≥67	187 (37.6)	84 (16.8)	271 (27.1)
BMI
Normal <25	265 (53.3)	310 (62.1)	575 (57.7)	0.0001
Overweight <30	179 (36.0)	168 (33.7)	347 (34.8)
Obese 30+	53 (10.7)	21 (4.2)	74 (7.4)

One participant with BMI >65 was omitted as an outlier.

Individuals who were positive for T. gondii IgG had approximately twice the odds of being obese compared to seronegative individuals, adjusting for age (p = 0.01) (see Table 2). Further, individuals who were obese had significantly higher levels of IgG than individuals who were overweight or normal (p = 0.01). There was no significant difference in IgG titers for individuals who were overweight compared to normal weight. Gender and education (as a surrogate for socioeconomic status) were also assessed for confounding; when entered into the models there was no change in the effects of BMI. Neither CMV nor HSV1 seropositivity was significantly associated with obesity after adjusting for age and education.

Table 2

Age-adjusted odds ratios for obesity (BMI ≥30) compared to overweight and normal participants combined, from logistic regression analysis.

	Obese vs. non-obese
	OR	95% CI	p Value
T. gondii positive vs. negative	1.97	1.15, 3.39	0.01
Age (quartiles)
<40 years	1.00	–	ref
40 to <60 vs. <40	2.40	0.86, 6.70	0.10
60 to <67 vs. <40	3.43	1.24, 9.52	0.02
≥67 vs. <40	3.35	1.22, 9.20	0.02
Sex male vs. female	0.81	0.49, 1.33	0.40
Education
1	1.00	–	ref
2 vs. 1	0.89	0.51, 1.57	0.70
3 vs. 1	0.39	0.20, 0.75	0.005

1 = secondary education; 2 = junior high school education; 3 = university equivalent.

Discussion

To our knowledge, this is the first study to identify an association between T. gondii and obesity among individuals carefully screened for mental illness, including personality disorders. Mental illness is an important confounding variable, since obesity rates are higher among individuals with serious mental illness, and latent T. gondii infection has been previously associated with schizophrenia (28), bipolar disorder (29), and personality disorder (29). Screening for mental illness, as well as self-selection bias, may have resulted in a relatively lean sample, as only less than 10% of individuals in the study were obese. In contrast, a German study with a large adult sample from a primary care setting that did not screen for mental illness, approximately 24% of males and 23% of women were obese (30).

Because this is an association study, we are unable to determine if there is a causal relationship between T. gondii seropositivity and obesity. However, evidence from animal studies indicates possible connections between parasite survival and obesity risk. Parasites may alter host appetite regulation to increase nutrient intake. For example, infection with Taenia taeniaeformis is associated with lower levels of leptin (31). Leptin is a peptide appetite hormone that signals satiety so lower levels would stimulate food intake. Parasites may also indirectly increase appetite through behavioral changes. T. gondii brain cysts have greater distribution in the amygdala and nucleus accumbens, brain regions that may be primarily targeted to influence fear signaling to promote survival (i.e., reduced vigilance may make infected rodents more susceptible to predator cats who are the definitive host for replication) and these regions also influences reward driven behavior (e.g., eating related behaviors) (32). T. gondii may also influence motivation and reward driven behaviors through altered dopamine pathways. Animal models indicate that T. gondii influences both dopamine release and availability of the rate limiting enzyme in dopamine synthesis, and dopamine antagonists (i.e., antipsychotic medications) can block behavior changes in T. gondii infected rats (32). Thus, parasite induced host behavioral changes that may be driven by survival needs may have inadvertent effects on eating patterns that promote obesity. Parasites also may interfere with host lipid metabolism. T. gondii “co-opts” some aspects of host lipid metabolism, specifically tachyzoite acquisition of cholesterol occurs through host cell endocytosis and the low density lipoprotein pathway (33). Thus, parasitic infection may have metabolic effects beyond weight gain.

Toxoplasma gondii may also influence obesity risk through alterations in inflammatory pathways. T cells play a major role in T. gondii resistance, with mouse models demonstrating a strong Th1 immune response to maintain the dormant bradyzoite stage (34). Th1 immune response is maintained to promote long-lasting immunity (35). Obesity has been previously referred to as “a state of chronic inflammation” (36). In animal studies, mice with diet induced obesity have more T cells in adipose tissue compared to lean control mice (37), and diet controlled weight loss is associated with reduced adipose tissue inflammation (38). Chronic inflammation has been implicated in development of insulin resistance and other metabolic abnormalities (39) and is associated with reduced metabolic rate (40). Thus, the chronic, pro-inflammatory state induced by latent T. gondii infection may either precipitate (in non-obese individuals), perpetuate, or exacerbate (in obese people) the inflammation related weight gain. In contrast, certain intestinal parasitic infections with nematodes induce a Th2-polarized immune response and are associated with weight loss (41), suggesting the possible association between body habitus and pathogen is specific to the type of immune response and the specific infectious agent. Of note, we did not find an association between obesity and HSV or CMV1 seropositivity.

The association between T. gondii and obesity, if replicated, has important public health significance because of the high prevalence of T. gondii worldwide. The CDC has prioritized T. gondii as one of the top “Five Neglected Parasitic Infections” based on its high prevalence in the US, severity of illness, and potential for prevention (http://www.cdc.gov/parasites/npi.html; accessed 9-25-2013). Food-borne infections have continued to increase in recent years, with increased consumer preference for exotic and global food sources and public demand for free-range livestock, which drives greater exposure to environmental soil spread pathogens (42). Possible public health interventions to reduce T. gondii infection include vaccine development (43), interventions (44), as well as efforts to reduce unsafe food handling processes.

Limitations

The cross sectional nature of the study does not allow us to investigate possible causal relationships between T. gondii and obesity, including a possible reverse causality (i.e., obesity promoting the risk of T. gondii infection) or shared causality (i.e., a common factor causing both obesity and T. gondii infection). However, this association, if replicated, supports the need for further research to investigate the direction (i.e., does obesity increase risk of latent infection or vice versa) and mechanisms that that drive this relationship. Interventions that target host lipid metabolism, for example, have been suggested as a novel intervention target for T. gondii infection since this pathway is important for parasite survival. (33) Such interventions may have the advantage of both reducing risk of infection and promoting metabolic health.

Another limitation of the study is that weight (to determine BMI) was provided by self-report. Interestingly, the Survey of Health, Aging, and Retirement in Europe 2004 (SHARE) study that interviewed individuals >50 years old from over 10 European countries indicated that Germans tended to “under-rate” their health on self-report forms compared to respondents from other countries (45), and in another European study with a large primary care sample indicates that estimate BMI varied from true measure by only +0.19 for men and +0.17 for women, suggesting that self-report may be adequate for monitoring national obesity prevalence (46).

Conclusion

This study identified a positive relationship between T. gondii seropositivity and obesity in a relatively large sample carefully screened for mental illness. Future studies are needed to examine the relationship between obesity and T. gondii titers over time to investigate possible causality and persistence of this association over time. Research is also needed to further assess possible association between T. gondii and other metabolic parameters. Serotyping could help determine if metabolic effects in humans differ with different strains of pathogen. T. gondii latent infection may turn out to have excellent potential as a target for public health interventions because of the high prevalence of this condition, in both developed and underdeveloped countries, and the possibility of identifying novel targets for obesity interventions.

Conflict of Interest Statement

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.