Take a look at the Recent articles

Entamoeba coli and Entamoeba histolytica infections as risk of allergic reactions: a case study of population of Bamenda, Cameroon

OUMAR Mahamat

Department of Biological Sciences, Faculty of Science, The University of Bamenda, Bamenda, Cameroon

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

MBAH Jerah Nchuikieh

Department of Biological Sciences, Faculty of Science, The University of Bamenda, Bamenda, Cameroon

EBANGA Echi Joan Eyong

Department of Biological Sciences, Faculty of Science, The University of Bamenda, Bamenda, Cameroon

DOI: 10.15761/JMT.1000145

Article
Article Info
Author Info
Figures & Data

Abstract

Gastrointestinal parasites remains one of the major health problem in low-income countries. Despite of the induction of IgE responses that results, the role of the various gastrointestinal parasites in allergic is not well known. This study aimed at determining the prevalence and relationship of allergic diseases and Entamoeba coli (E. coli) and Entamoeba histolytica (E. histolytica) infections. The study conducted from December 2018 to February 2019 in the Bamenda Regional hospital, Cameroon. A total of 301 patients were interviewed and systematically screened for E. coli and E. histolytica using formol ether method. The prevalence of E. coli and E. histolytica was 8.22%, and 3.95% respectively, and coinfection accounted for 2.63% of all participants. The prevalence of allergic diseases was 57.48%. Wheezing, asthma, rhinitis and eczema were present in the population for 3.62%, 40.53%, 13.30% and 15.61% respectively. IgE-response against E. coli and E. histolytica constitutes a risk for allergic diseases in parasites-infected patients. This is the first study assessing parasites infection and allergy relationship in patients suffering from gastrointestinal parasites in Cameroon. This study outlines a high prevalence of allergy infections and gastrointestinal parasites as associated factors. Further investigations of this relation could be a good complement to control strategies of allergic diseases.

Keywords

Entamoeba coli, Entamoeba histolytica, Allergic diseases, Serum total IgE

Introduction

In high-income countries and in urbanizing populations in low-income countries, the hygiene hypothesis has been proposed to explain temporal trends of increasing of allergy prevalence. Otherwise, increased allergy prevalence has been also associated to exposures to infectious diseases through a failure to educate appropriately the developing immune system leading to inadequate regulation of allergic inflammation [1,2]. In low-income countries notably in poor populations, gastrointestinal parasite infections are particularly common and have been put forward to explain the low prevalence of allergy [3]. However, there is exact data based supporting this hypothesis. Parasites, are commonly dedicated to induce IgE response. This IgE is known to be associated with allergy, which studies commonly attributed to a Th1/Th2 imbalance [4,5].

Over recent years, the allergy prevalence is extremely in increment as well as the prevalence of diarrhoea due to gastrointestinal parasites notably protozoan in Bamenda, Cameroon. Therefore, the present study aimed to examine the interaction between allergic diseases and Entamoeba coli and Entamoeba histolytica infections. This research, examining the production of human IgE responses in parasitic and allergic diseases, is unique in having the potential to help understand two extremely common diseases, one being one of the most common diseases in developing countries and the other one of the most common diseases in developed countries.

Materials and methods

Study period and area

This study was conducted from December 2018 to February 2019 at the laboratory of the Bamenda regional hospital in the city of Bamenda (North West Region, Cameroon). The city has a population of about 2 million people, where frequent intestinal parasites and atopic diseases are diagnosed. It has a coordinate of 5056N10010E and its climate is a tropical savanna climate and very heavy rainfall, especially during the rainy season that extends from June to October [6,7].

Study design

This study was a cross-sectional survey of patients attending the Bamenda regional hospital. Before the study, the Director of the hospital was approached, the aims of the study were explained and dates were proposed for activities in their sites. After obtaining written approval of the hospital, the participants meeting the eligibility criteria were included in the study upon signing an informed consent form. A pre-tested and structured questionnaire was used to document information of interest of each participant such as sex, age and allergic diseases in the past 12 months.

Inclusion and exclusion criteria

The study included adult patients who were recommended for stool analysis in the Bamenda Reginal Hospital and who had given their consent and children recommended for stool analysis whose parents or legal guardians had given their consent. Any patient who did not give his/her consent or whose parent or legal guardian did not give his/her consent was excluded from the study. Also, cases of double allergic infections were not included in the association of the allergies, intestinal parasites and immunoglobulin levels.

Ethical statements

Ethical clearance was obtained from the University of Bamenda Institutional Review Board (CEI218 DU/268/05/2019/T) (S1 File). The study was carried out in accordance with guidelines for human experimental models in clinical research as stated by the Cameroon Ministry of Public Health. An information sheet was prepared and presented to the participants, so as to have a clue about the study. A code was attributed to each participant to guarantee the respect for anonymity. Participation was strictly voluntary, anonymous and without compensation. The objectives of the study were explained to patients in French or English depending on the language they understood best, and their questions were answered. Written informed consent was obtained from all participants prior to enrolment (S2 File).

Study population

The study population consisted of patients attending the Bamenda Regional hospital. The recruited population were of both sexes and of all age groups (>1 year) attending the Bamenda Regional hospital, who had been recommended for stool analysis by the physicians.

Collection of personal and assessment of allergy diseases

A structured questionnaire adapted from the questionnaire of the international symptoms for asthma and allergy committee (ISAAC) [8] was given to the participants. The questionnaire was written in English, one of the national language in Cameroon. The questionnaire was administered to each participant by the principal investigator with the assistance from associate investigators. The interviews lasted between 5–10 minutes and was strictly confidential in order to avoid response bias. The questionnaire was designed to obtain information on core allergic symptoms such as: wheezing, asthma, rhinitis and eczema (S3 file).

Validation of the questionnaire

The answers were validated according to the principle of ISAAC [8] A patient was declared as having wheezing when he/she had wheezing or whistling in the chest in the last 12 months, at the time of the study. Asthma was declared based on the presence of nocturnal cough in the last 12 months. A patient had rhinitis when he/she had a problem with sneezing, or a runny, or blocked nose in the last 12 months, at the time of the study when they did not have a cold or the flu. Eczema was declared if a patient had itchy rashes at any time in the last 12 months or at the time of the study.

Stool samples collection

A wide open mouth transparent container with a tight fitting lid, labelled with the initials of the patient’s name, date of birth and the date of collection were handed to each participant or of participant parent. Instructions on how to collect and hand over the specimen were also given to them by the physician. The participants were also reminded to wash their hands thoroughly with soap and running water immediately after they had given their samples. Samples were observed about ten minutes after collection. Samples which could not be observed on the day of collection were preserved in a 10% formalin solution and then observed the next day.

Parasitological examination of stool samples

Stool samples were analyzed using the formol ether sedimentation concentration technique for the eggs/cysts of intestinal parasites as described previously. Briefly, 1g of stool was put in one of the stool containers and 7 mls of 10% formalin were added to it. The stool was then dissolved with an applicator stick. A sieve with pore size 400-450 μm was used to filter the stool sample into a glass centrifuge tube. Three millimeter of ether (diethylether) were then added to the solution in the centrifuge tube, and the tube was shaken vigorously for 30 seconds. The mixture was then centrifuged at 3000 rpm for 5 minutes. After centrifuging, there was sediment at the bottom, then a fatty deposit at the middle separating the formalin and the ether. A sharp object was then used to loosen the fatty deposit at the middle after which the supernatant was decanted. A drop of Lugol’s iodine was then added to the deposit and the deposit was then put on a slide, covered with a cover slip and then examined under the 10x objective of the microscope [9,10].

Blood collection and serum preparation

Blood samples were also collected by the laboratory technicians from each patient by venipuncture. The collected blood was then centrifuged at 3000 RPM for 5 minutes, after 5-10 minutes of collection. The serum was then collected into ependorf tubes for the measurement of immunoglobulin E (IgE).

Antibody IgE measurement

Serum total IgE was evaluated using ELISA technique using high-binding-level microassay plates (Costar, Cambridge) coated with 4 μg/ml of an anti-human IgE antibody overnight at 4°C [11,12]. In detail, after coating the plates, plates were then blocked with 200 μl of 0.15 M PBS, pH 7.2, containing 10% FCS and 0.05% Tween 20 (Sigma, St. Louis, MO) overnight at 4°C. Thereafter, 200 μl of samples, diluted 1:10 in PBS containing 5% FCS and 0.05% Tween 20, were incubated overnight at 4°C. Later, the plates were incubated with biotinylated anti-human IgE (Sigma Chemical Co., Germany) followed by streptavidin-peroxidase (Sigma Chemical Co., Germany) and H2O2 -OPD substrate (Sigma Chemical Co., Germany). Positive control and negative control (Sigma Chemical Co., Germany) were used and the plates were read using a 480-nm filter.

Antibody IgE based determination of allergy

According to the AllergyScreen ® system, serum total IgE was divided into 3 levels: grade 1 (100-300 IU/ml), grade 2 (300-1000 IU/ml) and grade 3 (>1000 IU/ml). A serum total IgE level >100 IU/ml was considered to be positive [13].

Data analysis

Prevalence of intestinal parasites and allergies were determined as percentage. The allergy prevalence results were analyzed by descriptive statistics and the Chi-square test to determine the analyzed variables using the SPSS version 21. The association between the intestinal parasites and allergic infections was evaluated by determining the odds ratio. Serum total IgE concentration was expressed as mean ± SD and ANOVA one way followed by t test to compare the different groups. Calculations were done using the Graph Prism software v.3.

Results

Demographic characteristics and prevalence of intestinal infections and allergic diseases of the study population

A total of 301 patients were recruited. All participants gave the stool to assess the prevalence of parasites and examined for allergic diseases. Among them 178 (59.14%) were female and 123 (40.86 %) were male. Participants were comprised of 20 participants (6.64%) of age < 10 years, 32 (10.63%) aged between 10 - 20 years and 249 (82.72%) have high than 20 years. A total of 45 (14.95%) patients had Entamoeba coli and Entamoeba histolytica alone or in co-infection (Table 1). The prevalence of Entamoeba coli alone was 8.22% and that of Entamoeba histolytica alone was 3.95% and 2.63% of patients were co-infected with E. coli and E. histolytica. Four types of allergic diseases (wheezing, asthma, rhinitis and eczema) were identified with 173 (57.48%) overall prevalence (Table 1).

Table 1. Prevalence of parasites (E. coli and E. histolytica) and allergies (wheezing, asthma, rhinitis and eczema) in studied population

Total patients; N = 301

Positive patients

Prevalence (%)

Parasites species

E. coli

25

8.22

E. histolytica

12

3.95

Co-infection

8

2.63

Overall prevalence

45

14.95

Allergy diseases

Positive patients

Prevalence (%)

Wheezing

41

13.62

Asthma

122

40.53

Rhinitis

40

13.30

Eczema

47

15.61

Total

173

57.48

Influence of sex and age groups on prevalence of allergic diseases in patients

The relation between the allergy prevalence and sex and age of patients is presented in Table 2. The overall prevalence of allergic diseases in male (52.03) were slightly lower compared to that in female (61.24). The four types of allergy are observed in both male and female. Asthma had the highest occurrence in males while in females it was rhinitis. With exception of wheezing in patients of 10 – 20 years, the various types of allergic were present in all the age groups. Asthma and rhinitis were more prevalent in patients with age > 20 years and less in 1 – 10 years. While, wheezing and eczema were more prevalent in patients with age 1 – 10 years and less age groups > 20 years.

Table 2. Comparison between prevalence of the various types of allergies and sex and age group in patients

Sex

 (N=301)

group

Total

(%)

Allergy diseases

 

Wheezing

(%)

Asthma

(%)

Rhinitis

(%)

Eczema

(%)

 
     

Male

N = 123

64 (52.03)

6 (4.88)

48 (39.02)

15 (12.20)

18 (14.63)

 

female

N= 178

109 (61.24)

13 (7.30)

25 (14.04)

74 (41.57)

29 (16.29)

 

P value

 

P = 0.51

P = 0.09

P = 0.04

P = 0.15

P= 0.25

 

Age

(N=301)

group

Total

%

Wheezing

(%)

Asthma

(%)

Rhinitis

(%)

Eczema

(%)

 

< 10years;

N = 22

12 (54.55)

2 (9.09)

5 (22.73)

1 (4.55)

11 (50)

 

10-20years;

N=33

9 (27.27)

0 (0)

6 (18.18)

4 (12.12)

3 (9.09)

 

> 20years;

N=249

252 (61.04)

17 (6.83)

111 (44.58)

35 (14.06)

33 (13.25)

 

P value

 

P = 0.1

P= 0.26

P = 0.91

P = 0.88

P = 0.12

 

No statistically significant (p>0.05)

 

Association of wheezing with Entamoeba coli and Entamoeba histolytica infections in patients

Of the 25 patients with E. coli, 12% (3) have declared had wheezing compared to 6.01% (16) of 266 patients without E. coli infection (Table 3). Analysis showed a high risk of association between E. coli and wheezing, but it was not significant (P = 0.20; OR: 2.21; 95%CI: [0.59–8.19]).

Table 3. Multivariate analysis of the association between wheezing and Entamoeba coli or Entamoeba histolytica infection

Infection

Total

Patients with wheezing

N = 19 (%)

OR (95% Cl)

P value

E. coli

Positive

25

3 (12.00)

 

Negative

266

16 (6.01)

2.21 (0.59 - 8.19)

0.201

E. histolytica

Positive

0

0 (0.00)

 

Negative

12

12 (100)

OR =0

P = 0

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; statistically significant at p-value <0.05.

Association of asthma with Entamoeba coli and Entamoeba histolytica infections in patients

The prevalence of asthma was 28% (7) in patients with E. coli compared to 41.66% (115) non-infected E. coli patients (P = 0.21; OR: 0.54; 95%CI: [0.22-1.34]). In patients infected with E. histolytica, the prevalence of asthma was 66.66% (8) compared to 40.83% (118) in those non-infected with E. histolitica (P = 0.77, OR = 0.72, 95%Cl: [0.21-2.46]). In patients co-infected, 37.5% (3) of patients had asthma (P = 0.86 and OR = 0.87; 95%Cl: [0.20-3.74]) (Table 4).

Table 4. Multivariate analysis of the association between asthma and Entamoeba coli or Entamoeba histolytica infection

 

Total

Patients with asthma

N= 122 (%)

OR (95% Cl)

P value

E. coli

 

 

Positive

25

7 (28.00)

 

 

Negative

276

115 (41.66)

0.54 (0.22 - 1.34)

0.207

E. histolytica

 

 

Positive

12

8 (66.66)

 

 

Negative

289

118 (40.83)

0.72 (0.21 - 2.46)

0.767

E.coli/E. histolytica

 

 

Positive

8

3 (37.50)

 

 

Negative

293

119 (40.61)

0.87 (0.20 - 3.74)

0.859

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; Statistically significant at p-value <0.05.

Association of rhinitis with Entamoeba coli or Entamoeba histolytica infections in patients

The prevalence of rhinitis was higher in E. coli - infected patients than those non-infected with E. coli and there was a significant difference (P = 0.01; OR = 3.58, 95%Cl: [1.43-8.98]). None of the patients with E. histolytica had rhinitis. In co-infected patients 12.50% (1) had rhinitis compared to 13.31% (39) in patients non-coinfected with E. coli and E. histolytica (P = 0.94; OR = 0.93; 95%Cl: [0.11-7.77]) (Table 5).

Table 5. Multivariate analysis of the association between rhinitis and Entamoeba coli or Entamoeba histolytica infection

Entamoeba histolytica infection

Infections

Total

Patients with rhinitis

N = 40 (%)

OR (95%Cl)

P value

E. coli

Positive

25

8 (32.00)

Negative

276

32 (11.59)

3.58 (1.43-8.98)

0.01

E. histolytica

Positive

12

0 (0.00)

Negative

276

40 (14.49)

OR = 0

P = 0

E. coli/E. histolitica

Positive

8

1 (12.50)

Negative

293

39 (13.31)

0.93 (0.11-7.77)

0.94

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; Statistically significant at p-value <0.05.

The Association of eczema with Entamoeba coli or Entamoeba histolytica infections in patients

The proportion of eczema in patients with Entamoeba coli or Entamoeba histolytica infection is presented in Table 6. The prevalence of eczema in patients with E. coli infection was 16% for 25 patients similar to that in 276 non-infected patients (P = 0.96; OR = 1.03; 95%Cl: [0.33-3.15]). In people with E. histolytica, the prevalence of eczema was higher than in non-infected patients (P = 0.19; OR = 2.86; 95%Cl: [0.82-9.91]). Similarly, the prevalence eczema in coinfected patients was higher than in the non-infected controls (P = 0.80; OR = 1.83; 95%Cl: [0.35-9.39]).

Table 6. Multivariate analysis of the association between eczema and Entamoeba coli or Entamoeba histolytica infection

Infection

Total

Eczema positive

N = 47 (%)

OR (95%Cl)

P value

E. coli

Positive

25

4 (16.00)

Negative

276

43 (15.57)

1.03 (0.33 - 3.15)

0.955

E. histolytica

Positive

12

4 (33.33)

Negative

289

43 (14.87)

2.86 (0.82 - 9.91)

0.186

E. coli/E. histolytica

Positive

8

2 (25.00)

Negative

293

45 (15.35)

1.83 (0.35 - 9.39)

0.804

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; Statistically significant at p-value <0.05.

Effect of Entamoeba coli or Entamoeba histolytica infection on the total serum level of IgE of patients

Serum total IgE was higher in patients with Entamoeba coli or Entamoeba histolytica infection than patients without parasitic. Patients with coinfection (Entamoeba coli and Entamoeba histolytica infections) had high serum total IgE than those infected with one type of parasite (Table 7).

Table 7. Serum total IgE level in E. coli-infected patients, E. histolytica-infected patients, co-infected patients and uninfected patients

 

Number of patients/infection

Serum total IgE (UI/ml)

Control

10

86.6 ± 43.1

E. coli infection

25

1989.02 ± 1568.4*a

E. histolytica infection

12

2318.2 ± 2419.1*ab

Co-infection

8

6919.03 ±2949.2**b

Serum total IgE-based prevalence of allergy in patients with Entamoeba coli or Entamoeba histolytica infection

In patients free of parasites, the serum total IgE level was low than 100 UI/ml, while none of the patients having E. coli, E. histolytica or co-infected had less than 100 UI/ml. The distribution of patients according the allergy classes varied in each, but with high percentage of patients in grade 3 allergy (Table 8).

Table 8. IgE-based prevalence of allergy with respect to E. coli-infected patients, E. histolytica-infected patients, co-infected patients and uninfected patients

 

Total

No allergy

(%)

Grade 1

(%)

Grade 2

(%)

Grade 3

(%)

Control

10

100

-

-

-

E. coli infection

25

-

20.00

16.00

64.00

E. histolytica infection

12

-

33.33

25.00

41.66

Co-infection

8

-

37.50

12.50

50.00

Serum Total IgE level in E. coli-infected patients, E. histolytica-infected patients, co-infected patients with respect to allergic diseases

The serum total IgE levels were observed to be significantly higher in patients with parasites and patients positively diagnosed for allergy than those who were free from parasites and allergic diseases. In patients with allergy associated with parasites, results showed that there were significant increase in serum total IgE compared to those diagnosed positive for asthma, rhinitis and wheezing but did not have any of parasites (Table 9).

Table 9. Variation of serum total IgE of patients with respect to E. coli and E. histolytica infections and associated allergic diseases

Allergic diseases

 

 

Parasites species

Patients free of allergic diseases

Patients without allergic diseases

Asthma

Rhinitis

Wheezing

Eczema

 
           

Control

86.6 ± 43.13a

195.7 ± 9.54b

450.7 ± 350.7b

803.0 ± 497.8b

395.8 ± 205.8a

E. coli infection

875.0 ± 475.4a**

1921.9 ± 950.1a***

3418.2 ± 1723.1b**

4586.1 ± 621.9b**

1851.2 ± 857.2a**

E. histolytica infection

1404.3 ± 1384.2a**

2188.4 ± 1226.9a***

-

 

836.50 ± 651.69a

Co-infection

8006.2 ± 3024.5a***

7111.3 ± 4166.6a***

-

 

6870.8 ± 3561.4a***

*p<0.05, **P<0.01; ***p<0.001: statistically significant compared to control at P-value <0.05. In the same column, values with different letters are statistically different at P-value <0.05.

Discussion

Intestinal parasites infections have been reported to be prevalent in Bamenda, Cameroon [14] The present study showed that Entamoeba coli was prevalent with 8.22% suggesting that, this parasite species is the more prevalent. The prevalence of intestinal parasites based on gender as found in this study observed a bias with more infected females than males. Adolescents were the most infected with E. coli of all the age groups. This may be due to the fact that they engage in many activities with inadequate environmental sanitation, insufficient water supply, as reported by Shah and Shahidullah [15].

Data showed that about 57.48%, out of 301 patients, had allergy diseases comprising of asthma, eczema, rhinitis and wheezing. This suggest that allergic reactions are recurrent in population in the North West of Cameroon. The “microbial diversity” hypothesis that suggests that environments rich in microbial diversity in the gut mucosa and respiratory tract are the key factors in priming and regulating the immune system might can be a justification of this high prevalence of allergic reactions. With regards to the specific allergic diseases, the prevalence of asthma was the highest (40.53%) suggesting that asthma might represent the high types of allergic reactions in population in the North West region of Cameroon.

In the present study, women had high prevalence of allergic reactions than men suggesting that they were more sensitive for allergic reactions. In fact, women were described to have more pronounced symptoms, which seem to change with the various life stages such as menstruation, pregnancy and menopause and in association with female sex hormone levels. These hormones might cause differences in the clinical manifestation of asthma. Thus, oestrogen promotes bronchial hyperreactivity, and both FEV1 and exhaled nitric oxide (NO) show a cycle-dependent course [16]

Parasitic infections are known to induce a Th2 response which is typically associated with allergic diseases and an inverse association between infection with different parasites species and allergic conditions [17]. In the present study, it was found that some patients who presented wheezing had E. coli infections, but this association was not significant suggesting E. coli might not have a direct impact on wheezing. Asthma was found to be insignificantly associated with E. coli and E. histolytica. Patients that declared rhinitis, also had E. coli and co-infections E. coli - E. histolytica showing significant association with E. coli. This suggest that E. coli infection might lead to the development of rhinitis infection. Numerous patients who declared eczema in the last 12 months, also had E. histolytica and associated E. coli/ E. histolytica. But the relation of eczema with these parasites was not significant. This might suggest that intestinal parasites might not have relation with the development of eczema.

Common environmental allergens stimulate IgE responses and produce allergic disease, but the allergens that produce the most potent IgE responses in nature originate from helminthic parasites [18, 19]. There is a general consensus that IgE antibody is an important component of the immune resistance to parasite infections [20,21], although some conflicting results have been obtained. It was demonstrated that the primary function of the allergic response may be a part of an anti-parasitic protective mechanism, and allergic disease may be the undesirable reaction towards otherwise inoffensive environmental substances. In the present study, the total serum IgE levels were observed to be significantly higher in patients with E. histolytica, E. coli and E. histolytica and co-infected than those who were not infected with the parasites. This might suggest a possible implication of these parasites in allergic reactions even though the above data show a non-significant relationship.

Recent immunological studies demonstrated that there are two different IgE responses to helminthic infections. The first of these is the host’s defensive response to produce IgE specific to parasite antigens. The second response is that the host also exhibits a strong non-specific Th2/interleukin 4 dependent polyclonal synthesis of IgE [22,23] which results in highly elevated total serum IgE levels in parasitised populations. This polyclonal synthesis of IgE may be the helminth’s defence mechanism against the effects of anti-parasite IgE. The polyclonal stimulus might suppress allergic responses by reducing the production of specific IgE antibody, resulting in an inverse relationship between total and specific serum IgE levels [24]. The polyclonal IgE also saturates the IgE receptors on mast cells and blocks access to specific IgE, which further inhibits allergic reactions [24,25]. This suppressive activity may be the reason for the diminished prevalence of some allergic diseases reported in populations, subsequently the absence of significant relationship.

Of great significance is the likelihood that parasites evade the immune response by stimulating excess IgE production. For example, in populations endemically exposed to helminths, individuals with the highest total serum IgE levels are more quickly reinfected by the parasites after anthelmintic treatment than those with lower levels [26]. In addition, atopic individuals within such populations have significantly lower total IgE levels, higher specific anti-parasite IgE concentrations, and less intense helminth infections than their non-atopic counterparts [27] These observations suggest that atopic hosts may develop more effective specific responses against parasites through evolution, and that helminths, also through evolution, countered this by developing allergens that provoke a polyclonal IgE response [28,29]. The atopic state of patients therefore appears to favour a specific over a polyclonal IgE response, what might be the case in some of the population in the present study.

In conclusion, the data obtained in this study support the hypothesis that E. coli and E. histolytica-induced IgE in atopic subjects is risk factor of allergic reactions. Epidemiologic studies of atopic diseases in subjects with and without parasitic diseases may further clarify the relationship between atopic diseases and these protozoan infections.

References

  1. Pedersen S, Hansen OR (1997) Dose response relationships to nebulized budesonide in children with asthma. Am J Respir Crit Care Med 155: A268.
  2. Bisgaard H, Nikander K, Munch E (1998) Comparative study of budesonide as a nebulized suspension vs pressurized metered-dose inhaler in adult asthmatics. Respir Med 92: 44-49. [Crossref]
  3. Mellon M, White M, Walton-Bowen K, et al. The efficacy of four dose regimens of budesonide nebulizing suspension (BNS; Pulmicort Respules) compared to placebo (PBO) in infants and young children with persistent asthma. Am J Respir Crit Care Med 157: A404.
  4. Otulana BA, Varma N, Bullock A, Higenbottam T (1992) High dose nebulized steroid in the treatment of steroid-dependent asthma. Respir Med 86: 105–108. [Crossref]
  5. Asher MI, Montefort S, Björkstén B, Christopher KWL, Strachan DP, et al. (2006) Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross-sectional surveys. Lancet 368: 733–743. [Crossref]
  6. Turner JD, Jackson JA, Faulkner H, Behnke J, Else KJ, et al. (2008) Intensity of intestinal infection with multiple worm species is related to regulatory cytokine output and immune hyporesponsiveness. J Infect Dis 197: 1204–1212. [Crossref]
  7. Philip J Cooper (2009) Interactions between helminth parasites and allergy. Curr Opin Allergy Clin Immunol 9: 29-37. [Crossref]
  8. Ngende F (1966) Geography of west Cameroon, Basel mission. P. 45.
  9. Christian NM, Loick PKF, Herve´ NN, Tonga C, Kouodjip Nono L, et al. (2019) Malaria screening at the workplace in Cameroon. PLoS ONE 14: e0225219. [Crossref]
  10. Hamid F, Wiria AE, Wammes LJ, Kaisar MMM, Lell B, et al. (2011) A longitudinal study of allergy and intestinal helminth infections in semi urban and rural areas of Flores, Indonesia (ImmunoSPIN Study). BMC Infect Dis 11: 83. [Crossref]
  11. Cheesbrough M (2005) District Laboratory Practice in Tropical Countries. Part 1. Cambridge low price editions, Cambridge University Press, London. p. 454.
  12. Gaoussou C, Kouassi PY, Mathurin K, Bernardin Ahouty A, Laurent Kouassi, et al. (2019) Prevalence and intensity of intestinal parasites and malaria in pregnant women at Abobo district in Abidja, Cote d’voire. Parasites and parasitic diseases, Gilberto Bastidas, IntechOpen 7:96-99.
  13. Johansson S (2004) ImmunoCAP Specific IgE test: an objective tool for research and routine allergy diagnosis. Expert Rev Mol Diagn 4: 273-279. [Crossref]
  14. Bal M, Ranjit M, Satapathy AK, Khuntia HK, Pati S (2018) Filarial infections during pregnancy have profound consequences on immune response and disease outcome in children: A birth cohort study, PLoS Negl Trop Dis 12: 6-824. [Crossref]
  15. Man-Li C, Can C, Yan-Hong L, Li-Chun P, Bing S (2015) Analysis of total immunoglobulin E and specific immunoglobulin E of 3,721 patients with allergic disease. Biomed Rep 3: 573-577. [Crossref]
  16. Mbong E, Khan P, Megwi L, Etung K, Yamssi C, et al. (2017) Prevalence and intensity of infection of gastrointestinal inmates in the Bamenda central prison, North West Region of Cameroon. America Journal of Internal Medicine 5: 136-142.
  17. Shah J, Shahidullah A (2018) Ascaris lumbricoides: A Startling Discoveryduring Screening Colonoscopy. Case Rep Gastroenterol 12: 224-229. [Crossref]
  18. Clark NM, Valerio MA, Gong ZM (2008) Self-regulation and women with asthma. Curr Opin Allergy Clin Immunol 8: 222–227. [Crossref]
  19. Marcella MAO, Lilly MV, Peter WMH, Berenice N, Adriana MS, et al. (2014) Recurrent wheezing is associated with intestinal protozoan infections in Warao Amerindian children in Venezuela: a cross-sectional survey. BMC Infect Dis 14: 293. [Crossref]
  20. Jarret EE, Miller HR (1982) Production and activities of IgE in helminth infection. In: Kallós P, ed. Immunity and concomitant immunity in infectious diseases. Progress in Allergy 31: 178–233.
  21. Lynch NR, Hagel IA, Palenque ME, Di Prisco MC, Escudero JE, et al. (1998) Relationship between helminthic infection and IgE response in atopic and nonatopic children in a tropical environment. J Allergy Clin Immunol 101: 217–221.
  22. Capron M, Capron A (1994) Immunoglobulin E and Vector cells in schistosomiasis. Science 264: 1876–1877.
  23. Allen JE, Maizels RM (1996) Immunology of human helminth infection. Int Arch Allergy Immunol 109: 3–10. [Crossref]
  24. Finkelman F, Pearce E, Urban J, Sher A (1991) Regulation and biological function of helminth-induced cytokine responses. Immunol Today 12: A62–6. [Crossref]
  25. Hagel I, Lynch N, Perez M, Di Prisco MC, López R, et al. (1993) Modulation of the allergic reactivity of slum children by helminthic infection. Parasite Immunol 15: 311–315. [Crossref]
  26. Lynch NR, Hagel I, Vargas V, Pérez M, López RI, et al. (1993) Effect of age and helminthic infection on IgE levels in slum children. J Invest Allergol Clin Immunol 3: 96–99. [Crossref]
  27. Godfrey RC, Gradidge CF (1976) Allergic sensitisation of human lung fragments prevented by saturation of IgE binding sites. Nature 259: 484-486. [Crossref]
  28. Hagel I, Lynch NR, Di Prisco MC, Rohas E, Perez M, et al. (1993) Ascaris reinfection of slum children: relation with the IgE response. Clin Exp Immunol 94: 80–83. [Crossref]
  29. Lynch NR (1987) Immediate hypersensitivity (allergic) reactions to intestinal helminthic infections. Bailliere’s Clin Trop Med Commun Dis 2: 573-593.

Editorial Information

Editor-in-Chief

Jinyong Peng
Dalian Medical University, China

Article type

Research Article

Publication History

Received: November 15, 2020
Accepted: November 23, 2020
Published: November 26, 2020

Copyright

©2020 Mahamat O. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Mahamat O, Jerah Nchuikieh M, Echi Joan Eyong E (2020) Entamoeba coli and Entamoeba histolytica infections as risk of allergic reactions: a case study of population of Bamenda, Cameroon. J Med Therap 5: DOI: 10.15761/JMT.1000145.

Corresponding author

OUMAR Mahamat

Department of Biological Sciences, Faculty of Science, The University of Bamenda, Bamenda, Cameroon

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Table 1. Prevalence of parasites (E. coli and E. histolytica) and allergies (wheezing, asthma, rhinitis and eczema) in studied population

Total patients; N = 301

Positive patients

Prevalence (%)

Parasites species

E. coli

25

8.22

E. histolytica

12

3.95

Co-infection

8

2.63

Overall prevalence

45

14.95

Allergy diseases

Positive patients

Prevalence (%)

Wheezing

41

13.62

Asthma

122

40.53

Rhinitis

40

13.30

Eczema

47

15.61

Total

173

57.48

Table 2. Comparison between prevalence of the various types of allergies and sex and age group in patients

Sex

 (N=301)

group

Total

(%)

Allergy diseases

 

Wheezing

(%)

Asthma

(%)

Rhinitis

(%)

Eczema

(%)

 
     

Male

N = 123

64 (52.03)

6 (4.88)

48 (39.02)

15 (12.20)

18 (14.63)

 

female

N= 178

109 (61.24)

13 (7.30)

25 (14.04)

74 (41.57)

29 (16.29)

 

P value

 

P = 0.51

P = 0.09

P = 0.04

P = 0.15

P= 0.25

 

Age

(N=301)

group

Total

%

Wheezing

(%)

Asthma

(%)

Rhinitis

(%)

Eczema

(%)

 

< 10years;

N = 22

12 (54.55)

2 (9.09)

5 (22.73)

1 (4.55)

11 (50)

 

10-20years;

N=33

9 (27.27)

0 (0)

6 (18.18)

4 (12.12)

3 (9.09)

 

> 20years;

N=249

252 (61.04)

17 (6.83)

111 (44.58)

35 (14.06)

33 (13.25)

 

P value

 

P = 0.1

P= 0.26

P = 0.91

P = 0.88

P = 0.12

 

No statistically significant (p>0.05)

 

Table 3. Multivariate analysis of the association between wheezing and Entamoeba coli or Entamoeba histolytica infection

Infection

Total

Patients with wheezing

N = 19 (%)

OR (95% Cl)

P value

E. coli

Positive

25

3 (12.00)

 

Negative

266

16 (6.01)

2.21 (0.59 - 8.19)

0.201

E. histolytica

Positive

0

0 (0.00)

 

Negative

12

12 (100)

OR =0

P = 0

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; statistically significant at p-value <0.05.

Table 4. Multivariate analysis of the association between asthma and Entamoeba coli or Entamoeba histolytica infection

 

Total

Patients with asthma

N= 122 (%)

OR (95% Cl)

P value

E. coli

 

 

Positive

25

7 (28.00)

 

 

Negative

276

115 (41.66)

0.54 (0.22 - 1.34)

0.207

E. histolytica

 

 

Positive

12

8 (66.66)

 

 

Negative

289

118 (40.83)

0.72 (0.21 - 2.46)

0.767

E.coli/E. histolytica

 

 

Positive

8

3 (37.50)

 

 

Negative

293

119 (40.61)

0.87 (0.20 - 3.74)

0.859

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; Statistically significant at p-value <0.05.

Table 5. Multivariate analysis of the association between rhinitis and Entamoeba coli or Entamoeba histolytica infection

Entamoeba histolytica infection

Infections

Total

Patients with rhinitis

N = 40 (%)

OR (95%Cl)

P value

E. coli

Positive

25

8 (32.00)

Negative

276

32 (11.59)

3.58 (1.43-8.98)

0.01

E. histolytica

Positive

12

0 (0.00)

Negative

276

40 (14.49)

OR = 0

P = 0

E. coli/E. histolitica

Positive

8

1 (12.50)

Negative

293

39 (13.31)

0.93 (0.11-7.77)

0.94

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; Statistically significant at p-value <0.05.

Table 6. Multivariate analysis of the association between eczema and Entamoeba coli or Entamoeba histolytica infection

Infection

Total

Eczema positive

N = 47 (%)

OR (95%Cl)

P value

E. coli

Positive

25

4 (16.00)

Negative

276

43 (15.57)

1.03 (0.33 - 3.15)

0.955

E. histolytica

Positive

12

4 (33.33)

Negative

289

43 (14.87)

2.86 (0.82 - 9.91)

0.186

E. coli/E. histolytica

Positive

8

2 (25.00)

Negative

293

45 (15.35)

1.83 (0.35 - 9.39)

0.804

Multivariate logistic model was used to compute the values of odds ratio (OR). 95%CI: Confidence interval at 95%; Statistically significant at p-value <0.05.

Table 7. Serum total IgE level in E. coli-infected patients, E. histolytica-infected patients, co-infected patients and uninfected patients

 

Number of patients/infection

Serum total IgE (UI/ml)

Control

10

86.6 ± 43.1

E. coli infection

25

1989.02 ± 1568.4*a

E. histolytica infection

12

2318.2 ± 2419.1*ab

Co-infection

8

6919.03 ±2949.2**b

Table 8. IgE-based prevalence of allergy with respect to E. coli-infected patients, E. histolytica-infected patients, co-infected patients and uninfected patients

 

Total

No allergy

(%)

Grade 1

(%)

Grade 2

(%)

Grade 3

(%)

Control

10

100

-

-

-

E. coli infection

25

-

20.00

16.00

64.00

E. histolytica infection

12

-

33.33

25.00

41.66

Co-infection

8

-

37.50

12.50

50.00

Table 9. Variation of serum total IgE of patients with respect to E. coli and E. histolytica infections and associated allergic diseases

Allergic diseases

 

 

Parasites species

Patients free of allergic diseases

Patients without allergic diseases

Asthma

Rhinitis

Wheezing

Eczema

 
           

Control

86.6 ± 43.13a

195.7 ± 9.54b

450.7 ± 350.7b

803.0 ± 497.8b

395.8 ± 205.8a

E. coli infection

875.0 ± 475.4a**

1921.9 ± 950.1a***

3418.2 ± 1723.1b**

4586.1 ± 621.9b**

1851.2 ± 857.2a**

E. histolytica infection

1404.3 ± 1384.2a**

2188.4 ± 1226.9a***

-

 

836.50 ± 651.69a

Co-infection

8006.2 ± 3024.5a***

7111.3 ± 4166.6a***

-

 

6870.8 ± 3561.4a***

*p<0.05, **P<0.01; ***p<0.001: statistically significant compared to control at P-value <0.05. In the same column, values with different letters are statistically different at P-value <0.05.