1. Background
Toxoplasmosis is an important but neglected tropical parasitic infection with global distribution and significance (1-3). It is caused by the protozoa called Toxoplasma gondii (4). Cats and other feline species are the definitive host as these animals excrete the oocysts into the environment (5). Also, humans become infected by eating food or drinking water contaminated with oocysts released in cat feces (1, 6, 7). In humans with normal immune competence, Toxoplasma spp. infections tend to be asymptomatic in most cases. This is not the case in individuals who are immuno-compromised as acute infections or reactivation of a latent infection can be severe and life-threatening, causing severe encephalitis with fatal consequences (7-9).
Toxoplasmosis is gaining much prominence economically, medically, and epidemiologically (8, 9). Establishing the link between toxoplasmosis and immune competence is vital, considering the increasing number of immunocompromised patients, including HIV positive patients, cancer patients, and organ transplant recipients. The parasite can lead to life-threatening conditions for these individuals, being an opportunistic parasite. Hence, the need to generate baseline data that will assist health institutions to make policies on whether toxoplasmosis testing should be included in daily routine laboratory testing or not. Especially in Nigeria, where toxoplasma testing is not carried out in the health care centers as routine. Such data may also determine the most efficient method to adopt for detecting the parasite.
2. Objectives
The main objective of this study was to investigate the seroprevalence and risk factors of Toxoplasma gondii among healthy volunteers and immunocompromised subjects drawn from - the HIV clinics of the University of Port Harcourt Teaching Hospital and the Braithwaite Memorial Specialist Hospital both in Port Harcourt, Rivers State, Nigeria.
3. Methods
3.1. Description of Study Area
Braithwaite Memorial Specialist Hospital (BMSH), also known as Rivers State University Teaching Hospital (RSUTH), is located on 5 - 8 Harley Street, old GRA, Port Harcourt, Rivers State, Nigeria. It is located within latitude 4°46’49” North and 7°0’50” East. It was established in 1925 as Braithwaite Memorial Hospital and originally served as a medical facility for senior civil servants. It later became a general hospital and gained the status as a “Specialist Health Institution”. It is now one of the biggest referral hospital owned by the State Government in Rivers State.
The University of Port Harcourt Teaching Hospital is located in East-West Road, a few kilometers from the University of Port Harcourt, Port Harcourt. Both hospitals are owned by the government, attract many people with different societal status.
3.2. Collection of Samples and Serological Testing
Three millimeters of venous blood was collected from each of the 200 participants between February and June 2016. The blood samples were allowed to clot and then centrifuged for 5 minutes at (1500) rpm. The sera were collected and stored at 2°C. The developing plates cards, reagents, and specimen were all brought to a temperature of 24°C. These were processed using Bio Check for Toxoplasma Immunoglobulins IgG and IgM enzyme immunoassay test kit following standard methods. The number of CD4+ T-lymphocyte for each patient was measured and documented by the flow cytometry procedure.
3.3. Demographic Data Collection
A well-structured questionnaire capturing information regarding age, gender, occupation, possession of pets, and other risk factors were administered to respondents.
3.4. Ethical Considerations
Ethical clearance was sought and obtained from the ethical committees of the University of Port Harcourt Teaching Hospital and Rivers State Hospital Management Board. Written informed consent was also obtained from the subjects.
3.5. Data Analysis
A two-way factor ANOVA and mean separation were used to analyze the data generated from this study.
4. Results
The overall seroprevalence and socio-demographic factor-related seroprevalence in the study population are shown in Table 1. Out of the 400 (200 per group) examined, HIV recorded a higher seroprevalence of 36.0 % compared to IP with 21.5% for IgG ELISA tests. Also, HIV positive people recorded a seroprevalence of 1.5% compared to IP with 7.0% for ELISA IgM tests, respectively. The seroprevalence of IgG was found to be statistically significant (P < 0.05) while that of IgM was insignificant (P > 0.05). Age groups of 40 years and above had the highest seroprevalence of 25.3% - for HIV, while age groups 25 - 29 years had the highest seroprevalence of 20.0% - for IP. Occupationally-related prevalence showed that traders positive with HIV had the highest seroprevalence 30.0% and 0.9% followed by the artisans positive with HIV 23.6% and 1.8% for IgG and IgM Toxoplasma antibodies. Traders had the highest seroprevalence among IP with 14.5% and 4.6% followed by students 11.8% and 3.2% for IgG and IgM Toxoplasma antibodies, respectively. HIV subjects with a secondary education showed the highest seroprevalence 20.0% for IgG ELISA tests, while IP subjects with tertiary education had the highest seroprevalence 14.0% for the same IgG antibodies. More Positive HIV females 18.5% and 0.8% were infected with the disease for IgG and IgM tests. More IP females 13.6% and 3.8% - were infected with the disease for IgG and IgM tests. The number of CD4 cells related to seroprevalence showed that there was no noteworthy difference between the T. gondii seropositivity with the CD4+ lymphocyte count. Table 2 shows the risk factors affecting the transmission of Toxoplasmosis in this study.
| Factor /Parameter | NE | Number Positive (%) | |||
|---|---|---|---|---|---|
| IP | HIV | ||||
| IgG | IgM | IgG | IgM | ||
| Overall | 400 | 45 (21.5) | 14 (7.0) | 72 (36.0) | 3 (1.5) |
| Age group | |||||
| 20 - 24 | 56 | 4 (7.1) | 3 (5.4) | 8 (14.2) | 2 (3.6) |
| 25 - 29 | 75 | 15 (20.0) | 2 (2.7) | 13 (17.3) | 1 (1.3) |
| 30 - 34 | 105 | 11 (10.5) | 4 (3.8) | 18 (17.1) | 1 (0.9) |
| 35 - 39 | 85 | 8 (9.4) | 4 (4.3) | 13 (15.3) | 1 (1.2) |
| > 40 | 79 | 5 (6.3) | 1 (1.3) | 20 (25.3) | 0 (0.0) |
| Occupation | |||||
| Artisan | 55 | 5 (9.1) | 3 (5.5) | 13 (23.6) | 1 (1.8) |
| Civil servant | 56 | 5 (8.9) | 1 (1.8) | 6 (10.7) | 0 (0.0) |
| Farmer | 12 | 0 (0.0) | 1 (8.3) | 2 (16.7) | 0 (0.0) |
| Student | 93 | 12 (12.0) | 3 (3.2) | 6 (6.5) | 1 (1.1) |
| Teacher | 38 | 8 (12.1) | 1 (2.6) | 4 (10.5) | 0 (0.0) |
| Trader | 110 | 13 (11.8) | 5 (4.6) | 33 (30.0) | 1 (0.0) |
| Unemployed | 36 | 0 (0.0) | 0 (0.0) | 8 (22.2) | 0 (0.0) |
| Educational status | |||||
| Primary | 40 | 6 (15.0) | 2 (5.0) | 15 (37.5) | 0 (0.0) |
| Secondary | 160 | 9 (5.6) | 5 (3.2) | 32 (20.0) | 2 (1.3) |
| Tertiary | 200 | 28 (14.0) | 7 (3.5) | 25 (12.5) | 1 (0.5) |
| Sex | |||||
| Female | 265 | 26 (15.0) | 8 (3.0) | 44 (16.6) | 2 (0.8) |
| Male | 135 | 17 (12.6) | 6 (4.4) | 28 (20.7) | 1 (0.7) |
| CD4 | |||||
| < 200 | 105 | 0.7 (6.7) | 0 (0.0) | ||
| 200 - 399 | 115 | 18 (15.7) | 1 (0.9) | ||
| 400 - 599 | 70 | 10 (14.3) | 0 (0.0) | ||
| > 600 | 110 | 35 (31.8) | 2 (1.8) | ||
Seroprevalence Based on Socio-Demographic Factors Among the Study Populationa
| Risk Factors | NE | NP IgG | NP IgM | Mean Seperationa | ||
|---|---|---|---|---|---|---|
| IP | HIV | IP | HIV | |||
| Engage in farming | ||||||
| Yes | 242 (60.50) | 19 (9.50) | 36 (18.00) | 4 (2.00) | 2 (1.00) | 1.68A |
| No | 158 (39.50) | 24 (12.00) | 36 (18.00) | 10 (5.00) | 1 (0.50) | 1.38A |
| Wash fruits | ||||||
| Yes | 116 (29.00) | 12 (6.00) | 16 (8.00) | 3 (1.50) | 0 (0.00) | 0.42B |
| No | 284 (71.00) | 31 (15.50) | 57 (28.50) | 11 (5.50) | 3 (1.50) | 0.89A |
| Drink treated water | ||||||
| Yes | 73 (18.25) | 14 (7.00) | 0 (0.00) | 3 (1.50) | 0 (0.00) | 1.13B |
| No | 327 (81.75) | 29 (14.50) | 72 (36.00) | 11 (5.50) | 3 (1.50) | 1.88A |
| History of owning pets | ||||||
| Yes | 124 (31.00) | 8 (4.00) | 44 (22.00) | 2 (1.00) | 0.5 (0.25) | 0.80A |
| No | 276 (69.00) | 35 (17.50) | 27.5 (13.75) | 12 (6.00) | 2.5 (1.25) | 0.75A |
| Consume Suya | ||||||
| Yes | 51 (12.75) | 7 (3.50) | 3 (1.50) | 5 (2.50) | 0 (0.00) | 0.67A |
| No | 350 (87.50) | 36 (18.00) | 70 (35.00) | 9 (4.50) | 3 (1.50) | 1.05A |
Seroprevalence of Toxoplasmosis Among HIV Subjects and Healthy Volunteers Based on Associated Risk Factors in Port Harcourt
5. Discussion
The study showed that the HIV subjects recorded a higher seroprevalence with 36.0% compared to IP 21.5% for IgG ELISA tests. Also, HIV subjects recorded a seroprevalence of 1.5% compared to IP with 7.0% for ELISA IgM tests respectively. This result is similar to reports of the other studies of seroprevalence rate, 40.8% in Western Iran (9), 36.3% in Mazandaran, Iran (10), and 32.4% in Zaria, Nigeria (11). However, the seroprevalence of toxoplasmosis in HIV-positive subjects showed a little variation in some other studies, including 20%, 22.2%, and 27% which were reported in Eastern Nigeria, Abuja, Nigeria, and Sudan respectively (8, 11, 12). Seropositivity of 27% was reported for T. gondii among healthy immunocompetent people in Mali, Africa (13), while some studies reported a higher seroprevalence of 44.9%,49.1%,60.7%, and 80.8% (14-17). These discrepancies may be due to differences in their way of life, geographical area, weather conditions, and prevailing socio-demographic factors prompting the spread of the parasite in these localities.
This study showed fewer rates of IgM seroprevalence (3%) P > 0.05 than IgG. This observation supports the fact that IgM Toxoplasma antibody reaction to Toxoplasma infection is low; it is often repressed to untraceable levels in cases of severe immunosuppression (15). Similar observations of lower IgM seroprevalence compared to IgG seropositivity in HIV patients were also reported by other researchers from India (16, 17), Mexico (18), South Africa (19), Northern (11), and Western Iran (9). The low proportions of IgM antibodies in HIV positive subjects show that the testing for this antibody in the routine diagnosis of T. gondii infection in non-pregnant HIV infected individuals may be of restricted value (9). Also, the suppressed toxoplasmosis does not present any symptoms (8).
Nazari et al. (9), in a similar study, reported that seroprevalence was the highest in the 46 - 60 year age group, whereas Zhang et al. showed that the highest prevalence of the disease was in 3rd and 4th decades of life (20). Nevertheless, Walle et al. reported the highest prevalence rate in the 21 - 30-year age group (21). These deviations can probably be expounded by the long exposure time as the patient continues to age. Although there were no significant correlations between age groups and the seroprevalence of Toxoplasma spp., it was observed that the seroprevalence of Toxoplasma spp. infection increases with age ascribed to the waning immunity and gradual inception of aging (8, 13). The work-related prevalence showed that the traders with HIV had the highest seroprevalence of 30.0% and 0.9%, followed by the artisans with HIV 23.6% and 1.8% for IgG, and IgM Toxoplasma antibodies. Traders had the highest seroprevalence for IP 14.5% and 4.6%, followed by students 11.8% and 3.2% for IgG and IgM Toxoplasma antibodies, respectively. In this study, seropositivity was not significantly swayed by occupation and educational level. This is comparable to the previously-made observations in the related studies (8, 9, 11, 21).
HIV positive females recorded a higher seroprevalence (18.5%) than HIV positive males (17.0%) and IP females and males. However, the seroprevalence rates were close to those obtained in similar findings in Abuja (8), Malaysia (9), Western Iran (9), and Northern Mexico (17), showing that T. gondii seroprevalence was not sex-related.
There was no significant difference between the T. gondii seropositivity with the CD4+ lymphocyte count, which is consistent with the reports of studies from Northern Nigeria, Ethiopia, Malaysia, Mexico and Morocco (11, 15, 18, 21) However, according to a study in Jahrom, Iran, there was a correlation between the CD4+ count, 100 cells/μL and the Toxoplasma seropositivity (22). Although CD4+ T cells played a major role in fortification against intracellular protozoan parasites such as T. gondii as the cells produce important effector cells that help control the parasite recrudescence during HIV infection (23, 24).
History of keeping pets, engaging in gardening, and farming and eating improperly washed fruits and vegetables were factors that significantly influenced the spread of toxoplasmosis in this study. This is supported by the findings reported in other studies (8, 9, 25, 26). From the similar studies which border on risk factors which influence toxoplasmosis, it has also been observed that Poor personal hygiene which greatly contributes to toxoplasmosis, is not considered (27-29).
Toxoplasmosis is prevalent in HIV positive patients in Port Harcourt and evident as suppressed symptomatic infections in the healthy populace. We recommend a regular awareness campaign in the study area. We also recommend regular testing of all HIV infected individuals for IgG anti-toxoplasma antibodies for timely detection of patients who may be at risk of the infection.
