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Erschienen in: BMC Infectious Diseases 1/2021

Open Access 01.12.2021 | Research article

Association of urogenital and intestinal parasitic infections with type 2 diabetes individuals: a comparative study

verfasst von: Babiker Saad Almugadam, Mihad Khaleil Ibrahim, Yinhui Liu, Shen-min Chen, Chun-hao Wang, Chen-yi Shao, Bao-wei Ren, Li Tang

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2021

Abstract

Background

Globally, urogenital and intestinal parasitosis remain significant health challenges. They are associated with rising morbidity, death, and many harmful outcomes. A little is known concerning parasitosis and type 2 diabetes mellitus. Our study planned to investigate the urogenital and intestinal parasitic infections among type 2 diabetes patients compare to non-diabetic (Control) individuals and examine the intensity of helminthiasis in both groups.

Methods

At Kosti Teaching Hospital (Sudan), 300 Urine and 300 stool samples have collected from 150 type 2 diabetes and 150 control individuals, along with the socio-demographic data using a structured questionnaire. The parasitic infections were examined by direct sedimentation technique for urine specimens. Whereas, for fecal samples, simple-direct saline, formal-ether concentration, Kato-Katz, and modified Ziehl–Neelsen techniques were used.

Results

Out of 150 type 2 diabetes patients studied, 31 (20.6%) and 14 (9.3%) had intestinal parasitosis and urogenital schistosomiasis, respectively. Whereas, 16 (10.6%) and 8 (5.3%) of the control group were infected, respectively. Compared to the control group, the odds of testing positive for either urogenital schistosomiasis (AOR: 2.548, 95% CI: 0.836–7.761, P = 0.100) or intestinal parasitic diseases (AOR: 2.099, 95% CI: 0.973–4.531, P = 0.059) were greater in diabetic individuals. Likewise, the intensities of helminthiasis were much higher in the diabetic patients and positively correlated with the duration of illness. The rate of urogenital schistosomiasis was also significantly different among the disease duration subcategories.

Conclusions

Our study has highlighted the relationship of type 2 diabetes with urogenital and intestinal parasitic infections and enhanced our knowledge about the frequency of particular urogenital and intestinal parasites as well as the intensity of helminths infection in type 2 diabetes compared to non-diabetic individuals, which are important for further studies.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12879-020-05629-9.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BMI
Body mass index
CI
Confidence interval
DALYs
Disability-adjusted life years
EPG
Eggs per gram of feces
FEC
Fecal egg counts
GIT
Gastrointestinal tract
IPIs
Intestinal parasitic infections
T1DM
Type 1 diabetes mellitus
T2DM
Type 2 diabetes mellitus
WHO
World Health Organization
YLD
Years lived with disability
ZN
Ziehl–Neelsen

Background

Urogenital and intestinal parasitic infections are groups of infectious diseases, still major public health concerns, particularly in tropical and subtropical rural areas of developing countries [15] since they have high morbidity and case fatality rate and endemic in many countries. As well, they have a wide distribution and related to immunity weakness, lack of health education, poverty, and inadequate hygiene [1, 3]. A. lumbricoides, S. haematobium, T. trichiura, hookworm, and E. histolytica comprise the majorities of the predominant causes of these illnesses [2, 4, 5]. Worldwide, schistosomiasis is responsible for 240 million infected people [6, 7]. In 2012, 250 million world population required preventive therapy against schistosomiasis [8]. On the other hand, the intestinal parasitic infections (IPIs) affect 3.5 billion people globally, and around 450 million persons had infected with intestinal parasites [3]. The pathology of parasitic infections generally depends on several factors, such as the immunological status of infected individuals. Clinically, intestinal and urogenital parasites are responsible for many disorders extending from slight discomfort to dangerous conditions such as growth retardation, malnutrition, and anemia [7, 9]. Every year, schistosomiasis is responsible for 24,067 to 200,000 deaths [10, 11] in addition to 1.496 million of years lived with disability (YLD) as well as multiples harms consequences globally [1214]. Likewise, the intestinal parasitic diseases are accountable for 39 million disability-adjusted life years (DALYs) globally [15].
Type 2 diabetes mellitus (T2DM) is a chronic disorder characterized by persistent hyperglycemia. It has attracted much caution due to high incidence, mortality, and inescapable complications [1620]. Globally, it represents approximately 90% of diabetes in adults. Also, the number of T2DM patients was rising over the last years, with more than 500 million prevalent in 2018, which will likely increase in the coming years, especially in countries with low-income [17]. Moreover, it has been linked to significant mortality and lower quality of life [18]. Besides the generalized immunity weakness and reduction in T-cell response [19], T2DM accompanied by humoral immunity disorders, innate immunity deregulation [20], impairment of multiple organs [18], and gut microbiota alterations [16, 17]. Thus, due to the effect of short and long-term consequences, type 2 diabetes mellitus individuals can be at higher risk for infections, and this susceptibility is gain increased under poorly controlled diabetes. Regarding all these findings, it is relevant to know concerning the association between T2DM and parasitic diseases. Accordingly, we conducted a matched case-control study to investigate the frequency of urogenital and intestinal parasitic infections among T2DM and non-diabetic (control) individuals.

Methods

This was a case-control comparative study carried out at Kosti Teaching Hospital from thirteen January to 5 March 2019. Kosti Teaching Hospital is a referral hospital locates in Kosti city and provides health services to the most population of Kosti locality and its neighbor areas. Kosti locality is in the White Nile State of Sudan. The population of Kosti locality composes of a heterogeneous fusion of ethnic communities. The main workings include agriculture and free business. Kosti locality has plagued with severe deficiencies in the healthful source of water and healthcare facilities. Our study was approved by the Ethics Review Committee of Kosti Teaching Hospital and strictly adhered to the rules of the Declaration of Helsinki for the measures concerning human subjects. Written informed consent had also obtained from all participants after the full clearing up of the objectives and procedures of the study. Participant’s confidentiality and privacy have been protected by ensuring no names appeared on any part of the report. Supplementary Fig. 1 displays the study flow diagram.

Study subjects

T2DM and non-diabetic individuals (Outpatients) attended to Kosti Teaching Hospital with clinical suspicion of urogenital and gastrointestinal tract infections and aged 21–80 years were included in this study. For positive cases, suitable treatment was prescribed by the staff of the hospital as well as applied if it is necessary. Diabetes subjects have recurred if they have been diagnosed with T2DM as based on the American Diabetes Association at least before 1 year. Participant’s exclusion criteria include antimicrobial use at least before 2 weeks, the recent history of malignancy or immune-suppressive diseases, pregnancy, history of chemotherapy or radiotherapy, alcohol adduction, previous history of gastrointestinal tract (GIT) surgery, and age <21 or >80 years. The researcher ensured the fitness of participants for this study. 150 T2DM patients, along with 150 control individuals (Convenience samples), were included. 125 of T2DM patients were under anti-diabetics drug therapy (Therapeutic subgroup: 29 Metformin, 46 Glimepiride, 13 Insulin, 9 Glibenclamide, 1 Gliclazide, 27 Metformin+Glimepiride), and 25 depended on diets control (Non-therapeutic subgroup). Based on diabetes duration, the diabetic group was also further divided into 1–6 years, 7–12 years, and 13–18 years subcategories.

Research data and samples collection

A constructed pretested questionnaire was included to gather the required socio-demographic information includes age, gender, residence, and marital status. The water source was also gathered. Age-associated body-mass index (BMI) was computed by anthropometric calculation based on age, height, and weight of the participants. There was no significant difference (r = 0.041, P = 0.469) in the arithmetic mean of BMI between T2DM (23.8) and control (23.7) individuals. A researcher has clearly explained the questionnaire and guides the participants to fill the form.
Every participant has given two labeled (Different color) containers. They were also directed to collect a fresh fecal specimen in Screw capped bottle with broad mouths including various parts of the stool, besides approximately 20 ml of urine sample in another container [9].

Parasitological examination

The collected samples were analyzed immediately. For the detection of urogenital and intestinal parasites, all the urine and stool specimens were prepared and examined in duplicate. Any sample with either parasitic eggs, trophozoite, cysts, or oocysts (For stool sample only) was considered positive. Urine specimens were processed by direct sedimentation technique, as described previously [9]. The whole slide was imaged via microscopy to detect the presence of parasitic forms such as eggs or trophozoites. The result of S. haematobium is expressed as egg/10 ml, and the infection intensities considered light or heavy when ova count 50 < eggs/10 ml or ≥ 50 eggs/10 ml, respectively [9, 21].
Initially, all stool samples had checked for the evidence of parasitic infection such as the color; consistency; and presence of blood, mucus, and parasitic segments or whole parasite. Subsequently, each sample was examined by a simple-direct saline method, formal-ether concentration technique, and modified Ziehl–Neelsen (ZN) method (for Cryptosporidium and Cyclospora spp) as described formerly [9]. Helminths infections intensities were also counted for helminths positive samples by Kato-Katz technique (Triplicate thick smears using standard 41.7 mg template) [22, 23], and the mean fecal egg counts (FEC) has estimated and stated as eggs per gram of feces (EPG). Based on the World Health Organization (WHO) guidelines [21], the intensity of S. mansoni infection had classified as light (1–99 EPG), moderate (100–399 EPG), or heavy (≥ 400 EPG).
10% of specimens in every batch of urine or stool samples were randomly selected and re-checked by an experienced technician blinded to the results of the first examination. In the case of dissimilarity, the discordant samples were re-examined to reach an agreement and obtain more accurate findings.

Data analysis

The data were revised and subsequently entered in Microsoft Excel 2010. A double recheck was adopted to ensure data accuracy. The whole and comparative analysis of T2DM and control data were carried out using the statistical package for social sciences (SPSS) software, version 21.0 (IBM Corp., Armonk, N.Y., USA). The prevalence of parasitic infections had expressed as number and percentages, whereas BMI and helminths ova count as the arithmetic means. Moreover, the normality test was used to differentiate between the parametric and nonparametric numerical data. Afterward, a two-independent samples t-test (Parametric) and two- independent samples Mann-Whitney U test (Nonparametric) were used. Pearson Chi-Squared and Fishers Exact test (When there was at least one cell with an expected count of less than 5) were included in the statistical analysis of categorical data. Binary and multinomial logistic regression assessed the association between dependent (Urogenital schistosomiasis or IPIs) and independent variables. The odds ratios (unadjusted and adjusted) and 95% confidence interval (CI) were calculated to see the strength of the association. Furthermore, Pearson correlation was involved to test the force of the relationship between dependent and independent variables. R > 0 was considered a positive correlation, and < 0 as a negative correlation. A p-value of less than 0.05 has selected for a statistically significant difference.

Results

Table 1 displays the investigated socio-demographic characteristics of the research participants. Gender (χ2 = 0.000, P = 1.000), residence (χ2 = 2.885, P = 0.089), and occupation (χ2 = 3.645, P = 0.456) were insignificantly different between the groups. Whereas, age (χ2 = 41.071, P<0.000), marital status (χ2 = 11.616, P = 0.001) and education level (χ2 = 17.725, P = 0.001) of participants were showed significant variation between T2DM and control individuals. In both groups, the majority of participants were married, belonged to urban areas, and have a source of purified water (Table 1).
Table 1
Socio-demographic characteristics of the study participants
Variable
Number
Study groups
Control: N (%)
T2DM: N (%)
χ2
P value
Total of participants
300
150 (50)
150 (50)
Gender
 Male
150
75 (50)
75 (50)
  
 Female
150
75 (50)
75 (50)
0.000
1.000
Age
 21–40 Years
91
71 (78)
20 (22)
  
 41–60 Years
133
51 (38.3)
82 (61.7)
41.071
<0.000
 61–80 Years
76
28 (36.8)
48 (63.2)
  
Residence
 Urban
196
105 (53.6)
91 (46.4)
  
 Rural
104
45 (43.3)
59 (56.7)
2.885
0.089
Marital status
 Married
250
114 (45.6)
136 (54.4)
  
 Single
50
36 (72)
14 (28)
11.616
0.001
Water Source
 Purified river water
190
101 (53.2)
89 (46.8)
  
 Un purified river water
52
21 (40.4)
31 (59.6)
4.762
0.190
 Boreholes water
36
20 (55.6)
16 (44.4)
  
 Hafir water
22
8 (36.4)
14 (63.6)
  
Education level
 No formal
73
35 (47.9)
38 (52.1)
  
 Primary school
106
38 (35.8)
68 (64.2)
17.725
0.001
 Secondary school
52
34 (65.4)
18 (34.6)
  
 University
69
43 (62.3)
26 (37.7)
  
Occupation
 Unemployee
144
75 (52.1)
69 (47.9)
  
 Employee
63
31 (49.2)
32 (50.8)
  
 Business
51
28 (54.9)
23 (45.1)
3.645
0.456
 Farmer
24
8 (33.3)
16 (66.7)
  
 Driver
18
8 (44.4)
10 (55.6)
  
Statistical differences were evaluated using the Pearson Chi-squared test. Employees include the workers of both government and private institutions. Hafir is an artificially constructed large hole in the land for rainwater collection during the rainy season (Hafir water uses for drinking and other purposes). N Number, T2DM Type 2 diabetes mellitus, χ2: Chi-square
Out of the 150 T2DM persons examined, 31 (20.6%) had infected with at least one type of intestinal parasite as well as 14 (9.3%) has urogenital schistosomiasis. Whereas, 16 (10.6%) and 8 (5.3%) of the control group were infected by intestinal parasitosis and urogenital schistosomiasis, respectively. Compared to the control group, the adjusted odds of testing positive for either urogenital schistosomiasis (AOR: 2.548, 95% CI: 0.836–7.761, P = 0.100) or IPIs (AOR: 2.099, 95% CI: 0.973–4.531, P = 0.059) was at least two times higher in T2DM individuals (Table 2). Additionally, the infection rate of S. haematobium (Table 2) as well as S. mansoni, H. nana, E. histolytica, and Cryptosporidium spp. were higher in diabetic individuals compared to controls (Table 3). Three cases of multiple infections caused by E. histolytica and Cryptosporidium spp. were detected in the T2DM group (Table 3). In this study, there was a significant variation in the intensity of S. haematobium (r = 0.437, P = 0.040) and S. mansoni (g = 2.019, P = 0.033) infection between T2DM and control group. Moreover, all the infected individuals had shown a light S. haematobium infection (Table 4).
Table 2
Urogenital schistosomiasis and intestinal parasitic infections among the T2DM and control groups
Type of infection
Study groups
Frequency
Logistic regression analysis
Unadjusted
Adjusted
N (%)
P value
OR (95% CI)
P value
AOR (95% CI)
P value
Urogenital schistosomiasis
Control (N = 150)
8 (5.3)
 
1
 
1
 
T2DM (N = 150)
14 (9.3)
0.184
1.827 (0.743–4.494)
0.189
2.548 (0.836–7.761)
0.100
Intestinal parasitic infections
Control (N = 150)
16 (10.6)
 
1
 
1
 
T2DM (N = 150)
31 (20.6)
0.017
2.182 (1.137–4.187)
0.019
2.099 (0.973–4.531)
0.059
S. haematobium (Urogenital schistosomiasis) as well as S. mansoni, H. nana, Cryptosporidium spp, and E. histolytica (Intestinal parasites) represented the detected parasites among both control and T2DM individuals. The adjusted variables were gender, age, residence, marital status, water source, education level, and occupation. AOR Adjusted odds ratio, CI Confidence interval, OR odds ratio (Unadjusted), N Number, T2DM Type 2 diabetes mellitus
Table 3
Frequency of intestinal parasites among the study groups
Parasite species
Prevalence of parasites: N (%)
Control (N = 150)
T2DM (N = 150)
OR (95%CI)
P value
S. mansoni
3 (2)
5 (3.3)
1.690 (0.396–7.200)
0.723f
H. nana
4 (2.6)
6 (4)
1.521 (0.420–5.502)
0.520
Cryptosporidium spp
6 (4)
11 (7.3)
1.899 (0.684–5.276)
0.212
E. histolytica
3 (2)
6 (4)
2.042 (0.501–8.319)
0.501f
Cryptosporidium spp + E. histolytica
0 (0)
3 (2)
0.247f
Pearson chi-squared test and Fisher exact testf were used in the statistical analysis. CI Confidence interval, N Number, OR odds ratio, T2DM Type 2 diabetes mellitus
Table 4
Helminths infection intensity
Parasite species
Helminths infection intensity
The arithmetic mean of helminths egg count: urine (eggs/10 ml) and fecal (FEC/gram)
N (%)
Light
Moderate
Control
T2DM
Effect size value
P value
Control
T2DM
Control
T2DM
S. haematobium
6.3
11.5
0.437
0.040a
8 (100)
14 (100)
0 (0)
0 (0)
S. mansoni
29.2
81.5
2.019
0.033
3 (100)
4 (80)
0 (0)
1 (20)
H. nana
69.9
115.9
1.125
0.120
Two independent samples Mann-Whitney Ua and two independent samples t-test evaluated the statistical difference between the numerical data. FEC Fecal egg count, N Number, T2DM Type 2 diabetes mellitus. Effect size: r and Hedges’ g (g) value were calculated for two independent samples Mann-Whitney U test and two independent samples t-test, respectively
Comparatively, males and rural area residents have a higher rate of urogenital schistosomiasis and IPIs in both groups. Between the study groups, the positivity rate of these infections among gender, age, marital status, and residence was more in T2DM compared to controls, but it is not significant except for IPIs among females, 41–60 age (Years), and unmarried participants. IPIs were also significantly more in unemployed participants of T2DM compared to control groups. Moreover, the unpurified river water users have a high positivity rate of IPIs; whereas, 21–40 age (Years), unmarried, and hafir water users were showed a high frequency of urogenital schistosomiasis. In the control group, we found a high rate of urogenital schistosomiasis and IPIs among the individuals of no formal (11.4%) and primary school education level (15.7%), respectively. Whereas, in the diabetic group, the individuals of no formal and secondary school education level showed a high frequency of IPIs (26.3%) and urogenital schistosomiasis (16.6%), respectively (Table 5).
Table 5
Prevalence (positivity rate) of urogenital schistosomiasis and intestinal parasitic infections among the study groups
Variable
Urogenital schistosomiasis: N (%)
Intestinal parasitic infections: N (%)
Control(N = 150)
T2DM(N = 150)
OR (95%CI) for T2DMversus Control
P value
Control(N = 150)
T2DM(N = 150)
OR (95%CI) for T2DMversus Control
P value
Gender
 Male
6 (8)
8 (10.6)
1.373 (0.452–4.169)
0.575
11 (14.6)
17 (22.6)
1.705 (0.738–3.940)
0.209
 Female
2 (2.6)
6 (8)
3.174 (0.620–16.261)
0.276f
5 (6.6)
14 (18.6)
3.213 (1.094–9.436)
0.027
P value
0.276f
0.575
  
0.113
0.545
  
Age
 21–40 Years
5 (7)
4 (20)
3.300 (0.795–13.703)
0.103f
7 (9.8)
3 (15)
1.613 (0.377–6.909)
0.685 f
 41–60 Years
2 (3.9)
7 (8.5)
2.287 (0.456–11.465)
0.481f
4 (7.8)
18 (21.9)
3.305 (1.050–10.405)
0.033
 61–80 Years
1 (3.5)
3 (6.2)
1.800 (0.178–18.187)
1.000f
5 (17.8)
10 (20.8)
1.211 (0.368–3.987)
0.753
P value
0.803f
0.196f
  
0.397f
0.884f
  
Residence
 Urban
3 (2.8)
5 (5.4)
1.977 (0.459–8.510)
0.476f
9 (8.5)
13 (14.2)
1.778 (0.722–4.376)
0.206
 Rural
5 (11.1)
9 (15.2)
1.440 (0.447–4.638)
0.540
7 (15.5)
18 (30.5)
2.383 (0.896–6.339)
0.077
P value
0.053f
0.045
  
0.250f
0.017
  
Marital status
 Married
4 (3.5)
12 (8.8)
2.661 (0.834–8.492)
0.087
13 (11.4)
26 (19.1)
1.836 (0.895–3.767)
0.094
 Single
4 (11.1)
2 (14.2)
1.333 (0.216–8.249)
1.000f
3 (8.3)
5 (35.7)
6.111 (1.222–30.572)
0.030f
P value
0.095f
0.622f
  
0.763f
0.167f
  
Water Source
 Purified river water
4 (3.9)
5 (5.6)
1.443 (0.375–5.550)
0.736f
10 (9.9)
13 (14.6)
1.557 (0.646–3.748)
0.221
 Un purified river water
2 (9.5)
5 (16.1)
1.827 (0.320–10.443)
0.687f
4 (19)
10 (32.2)
2.024 (0.538–7.608)
0.292
 Boreholes water
0 (0)
1 (6.2)
0.444f
2 (10)
5 (31.2)
4.091 (0.674–24.829)
0.204f
 Hafir water
2 (25)
3 (21.4)
0.818 (0.106–6.337)
1.000f
0 (0)
3 (21.4)
0.273f
P value
0.052f
0.089f
  
0.560f
0.109f
  
Education level
 No formal
4 (11.4)
3 (7.8)
0.664 (0.138–3.203)
0.703f
4 (11.4)
10 (26.3)
2.768 (0.780–9.828)
0.107
 Primary school
0 (0)
6 (8.8)
0.086f
6 (15.7)
12 (17.6)
1.143 (0.391–3.338)
0.807
 Secondary school
3 (8.8)
3 (16.6)
2.067 (0.372–11.483)
0.405f
2 (5.8)
3 (16.6)
3.200 (0.483–21.211)
0.327f
 University
1 (2.3)
2 (7.6)
3.500 (0.301–40.652)
0.552f
4 (9.3)
6 (23.1)
2.925 (0.739–11.571)
0.161f
P value
0.067f
0.711f
  
0.598f
0.683f
  
Occupation
 Un employee
2 (2.6)
5 (7.2)
2.852 (0.535–15.206)
0.260f
7 (9.3)
15 (21.7)
2.698 (1.027–7.087)
0.039
 Employee
2 (6.4)
2 (6.2)
0.967 (0.128–7.326)
1.000f
2 (6.4)
8 (25)
4.833 (0.936–24.946)
0.082f
 Business
0 (0)
3 (13)
0.085f
5 (17.8)
4 (17.3)
0.968 (0.228–4.122)
1.000f
 Farmer
1 (12.5)
3 (18.7)
1.615 (0.140–18.581)
1.000f
1 (12.5)
2 (12.5)
1.000 (0.077–13.016)
1.000f
 Driver
3 (37.5)
1 (10)
0.185 (0.015–2.286)
0.275f
1 (12.5)
2 (20)
1.750 (0.129–23.703)
1.000f
P value
0.005f
0.499f
  
0.575f
0.904f
  
Pearson chi-squared test and Fisher exact testf assessed the differences at a 95% level of significance. Employees include the workers of both government and private institutions. Hafir is an artificially constructed large hole in the land for rainwater collection during the rainy season (Hafir water uses for drinking and other purposes). S. haematobium (Urogenital schistosomiasis)as well as S. mansoni, H. nana, Cryptosporidium spp, and E. histolytica (Intestinal parasites) represented the detected parasites among both control and T2DM individuals. CI Confidence interval, N Number, OR Odds ratio, T2DM Type 2 diabetes mellitus
In the T2DM group, the prevalence rates of urogenital schistosomiasis and IPIs were nonsignificantly different between the diabetic subgroups, however, the frequency of IPIs was more in the non-therapeutic subgroup. Notably, the frequency of urogenital schistosomiasis was significantly different among the T2DM duration subcategories, which was 4.8%, 23.1%, and 15.8% among T2DM individuals with a disease duration of 1–6 years, 7-12 years, and 13–18 years, respectively (Table 6). Likewise, the intensity of helminthiasis had effected by the duration of T2DM. Indeed, the intensity of S. haematobium (R = 0.666, P = 0.009), S. mansoni (R = 0.595, P = 0.290), and H. nana (R = 0.521, P = 0.289) was positively correlated with the duration of T2DM (Fig. 1a-c).
Table 6
Link of parasitosis (positivity rate) with management policy and duration of T2DM
Variable
Urogenital schistosomiasis
Intestinal parasitic infections
N (%)
P value
N (%)
P value
T2DM subgroups
Therapeutic (N = 125)
12 (9.8)
 
25 (20)
 
Nontherapeutic (N = 25)
2 (8)
1.000f
6 (24)
0.652
Duration of T2DM
1–6 Years (N = 105)
5 (4.8)
 
21 (20)
 
7-12 Years (N = 26)
6 (23.1)
0.009f
6 (23.1)
0.950f
13-18 Years (N = 19)
3 (15.8)
 
4 (21.1)
 
The statitsical difference in the positivity rate of parasitic infections was assessed by the Pearson chi-square test and Fisher exact testf. N Number, T2DM Type 2 diabetes mellitus

Discussion

Parasitosis influences many of the world’s population. Both urogenital schistosomiasis and IPIs have been linked to increased morbidity and mortality and serious complications. Intestinal parasitosis impairs the body’s metabolism, nutrition absorption, and gut ecosystem [2426]. A complicated relationship exists between parasitosis and T2DM. The mechanisms of both suggest they influence each other. Previous studies showed that some helminths infection or its derived antigens reduce blood glucose and improve insulin sensitivity [2731]. However, the exact mechanisms are not fully understood, this was explained by the anti-inflammatory effect of helminths since helminthiasis lower the circulatory pro-inflammatory cytokines and increase the anti-inflammatory cytokines [30, 31]. Helminths also lead to depletion of body energy sources resulting in weight loss and improved metabolic outcomes [2729] as well as manipulate the gut microbiome that plays an essential role in blood glucose homeostasis [30, 32]. The current study findings showed that the proportion of parasitosis was much higher in diabetic individuals and the odds of testing positive for either urogenital schistosomiasis or intestinal parasitic diseases were more than two times higher in T2DM compared to control individuals. Several studies had documented similar findings for IPIs in T2DM [3335] or diabetes mellitus (T1DM + T2DM) as general [3538]. In contrast, some scholars [39, 40] found that diabetes mellitus (T1DM + T2DM) patients have a lower probability of intestinal parasitosis. Previously, Akinbo FO et al. [35] and Machado ER et al. [41] studies stated that the frequency of IPIs is lower in T1DM compared to T2DM individuals, which are of potential interest in the interpretation of the findings of Tangi FB et al. [39] and Nazligul Y et al. studies [40]. The variation between our findings and other studies outcomes may be attributed to differences in sample size; study population, area, and season; detected parasites; and diabetic management protocol, which are known confounding factors. In line with the Nazligul Y et al. study [40], our study found no significant difference in the rate of IPIs between T2DM subgroups. Interestingly, there was a significant variation in the frequency of urogenital schistosomiasis among the T2DM duration subcategories. Likewise, we found a positive correlation between helminths egg counts and T2DM duration. In these findings, the effect of age and other confounding factors are of potential importance. Similar to our study, Akinbo FO et al. study [35] found no significant variation in the frequency of IPIs among the duration of diabetes mellitus (T1DM + T2DM). In agreement with this study, Mohtashamipour M et al. study [33] found that the percentage of mixed infections was more in T2DM patients compared to control individuals. Tangi FB et al. study [39] also reported a high percentage of mixed infection in diabetes mellitus (T1DM + T2DM) than the control group. Taken together, these findings have underlined the link of T2DM with urogenital schistosomiasis and IPIs, which could be related to the generalized immunity weakness, gut microbiota changes, and the influence of short and long-term diabetes complications.
Regionally, the occurrence of urogenital and intestinal parasites influence by multiple elements including the environmental factors and geographic location, which can make a person at higher risk for particular parasites or indirectly affect the parasite survival, distribution, and transmission [1, 23, 35, 39]. In this study, S. haematobium, S. mansoni, H. nana, Cryptosporidium spp., and E. histolytica compromised the identified parasites, with considerably higher prevalences in diabetic individuals. Notably, those parasites are commonly detected in diabetic patients [3341]. The previous studies were also reported a high frequency of H. nana, Cryptosporidium spp., and E. histolytica among T2DM patients compared to the control group [3335], which may be attributed to immunity weakness [19, 20], impairment of multiple organs, and other diabetic complications [17, 18].
Notably, the males and rural area residents have a higher rate of urogenital schistosomiasis and IPIs. This can be clarified, at least partially, by the fact that males are in more interaction with environments compared to females in this area. Moreover, the rural areas of Kosti locality suffer from infrastructures and health serves deficiency, in addition to the lack of the proper source of water supply, which could reflect the higher prevalence of diseases in a rural area compared to urban regions. Previously, several studies were stated a high positivity rate for urogenital schistosomiasis and IPIs in males [2, 3, 23]. Unlike our study, Tangi FB et al. study [39] found a high frequency of IPIs among females in both diabetes mellitus and control group. Likewise, the Akinbo FO et al. [35] and Nazligul Y et al. studies [40] of IPIs in diabetes mellitus (T1DM + T2DM) patients also reported a higher rate of IPIs among females than males. Dissimilar to our findings, Tangi FB et al. [39] study found a high frequency of IPIs in urban than rural areas residents. In this study, the frequency of urogenital schistosomiasis and IPIs among gender, age, marital status, and residence, was more in T2DM subjects compared to the control group; however, it is only significant for IPIs in females, 41–60 age (Years), and unmarried individuals. Akinbo FO et al. study [35] reported similar findings of the IPIs. This may strengthen the evidence of T2DM and parasitosis relationship. Furthermore, we found that the unpurified river water users have a high frequency of IPIs; whereas, hafir water users were shown a high rate of urogenital schistosomiasis. In our study, the frequency of urogenital schistosomiasis and IPIs among the control group was more in the individuals of no formal and primary school education level, respectively. Likewise, the participants of no formal and secondary school education level have a high rate of IPIs and urogenital schistosomiasis in the T2DM group, respectively. Akinbo FO et al. study [35] was reported a high rate of IPIs among the no formal educated diabetes mellitus (T1DM + T2DM) patients. Previously, the low education levels and unclean water were also linked to a rising probability of parasitosis [42]. Altogether, these findings highlight the impact of socio-demographic features in the frequency of urogenital schistosomiasis and intestinal parasitosis and suggest that the urbanization together with various improvements due to education and availability of a proper source of water supply could help to decline the prevalence of these infections.
In our study, the use of a single urine and stool sample together with lower diagnostic sensitivity methods and lack of the data of several socio-demographic features could affect the outcomes of the study. Because to have more accurate results, the use of multiple samples and highly sensitive diagnostic procedures such as the genetic techniques are necessary [42, 43]. Additionally, the incomplete matched design for the socio-demographic characteristics of the study participants such as age and education levels may also affect the study findings.

Conclusions

In conclusion, our study indicated the association of T2DM with urogenital and intestinal parasitic infections and provided data about the frequency of particular urogenital and intestinal parasites as well as the intensity of helminths infection in type 2 diabetes compared to non-diabetic control individuals, which are important for further studies.

Acknowledgments

The authors acknowledge the staff of Kosti Teaching Hospital for their support during data and sample collection. Also, we are very grateful to all the study participants.
The research protocol had reviewed, evaluated, and approved by the Ethics Review Committee of Kosti Teaching Hospital. The Ethics Review Committee of Dalian Medical University also provided permission. All the study protocols have strictly adhered to the rules of the Declaration of Helsinki for the measures concerning human subjects. The researcher invited participants and the questionnaires have filled from face-to-face interviews. Written informed consent had also obtained from each participant after the full clearing up of the objectives and procedures of the study. Participant’s confidentiality and privacy have been protected by ensuring no names appeared on any part of the report.
Not applicable.

Competing interests

The authors declare, there was no conflict of interest.
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Literatur
1.
Zurück zum Zitat Alum A, Rubino JR, Ijaz MK. The global war against intestinal parasites-should we use a holistic approach?. Int J Infect Dis. 2010;14(9):e732–8.PubMedCrossRef Alum A, Rubino JR, Ijaz MK. The global war against intestinal parasites-should we use a holistic approach?. Int J Infect Dis. 2010;14(9):e732–8.PubMedCrossRef
2.
Zurück zum Zitat Gyang VP, Chuang TW, Liao CW, Lee YL, Akinwale OP, Orok A, et al. Intestinal parasitic infections: current status and associated risk factors among school aged children in an archetypal African urban slum in Nigeria. J Microbiol Immunol Infect. 2019;52(1):106–13.PubMedCrossRef Gyang VP, Chuang TW, Liao CW, Lee YL, Akinwale OP, Orok A, et al. Intestinal parasitic infections: current status and associated risk factors among school aged children in an archetypal African urban slum in Nigeria. J Microbiol Immunol Infect. 2019;52(1):106–13.PubMedCrossRef
3.
Zurück zum Zitat Hailegebriel T. Prevalence of intestinal parasitic infections and associated risk factors among students at Dona Berber primary school, Bahir Dar, Ethiopia. BMC Infect Dis. 2017;17(1):362.PubMedPubMedCentralCrossRef Hailegebriel T. Prevalence of intestinal parasitic infections and associated risk factors among students at Dona Berber primary school, Bahir Dar, Ethiopia. BMC Infect Dis. 2017;17(1):362.PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Omrani VF, Fallahi S, Rostami A, Siyadatpanah A, Barzgarpour G, Mehravar S, et al. Prevalence of intestinal parasite infections and associated clinical symptoms among patients with end stage renal disease undergoing hemodialysis. Infection. 2015;43(5):537–44.PubMedCrossRef Omrani VF, Fallahi S, Rostami A, Siyadatpanah A, Barzgarpour G, Mehravar S, et al. Prevalence of intestinal parasite infections and associated clinical symptoms among patients with end stage renal disease undergoing hemodialysis. Infection. 2015;43(5):537–44.PubMedCrossRef
6.
Zurück zum Zitat Toor J, Alsallaq R, Truscott JE, Turner HC, Werkman M, Gurarie D, et al. Are we on our way to achieving the 2020 goals for Schistosomiasis morbidity control using current World Health Organization guidelines?. Clin Infect Dis. 2018;66(Suppl 4):245–52.CrossRef Toor J, Alsallaq R, Truscott JE, Turner HC, Werkman M, Gurarie D, et al. Are we on our way to achieving the 2020 goals for Schistosomiasis morbidity control using current World Health Organization guidelines?. Clin Infect Dis. 2018;66(Suppl 4):245–52.CrossRef
7.
Zurück zum Zitat Inobaya MT, Olveda RM, Chau TN, Olveda DU, Ross AG. Prevention and control of schistosomiasis: a current perspective. Res Rep Trop Med. 2014;2014(5):65–75.PubMed Inobaya MT, Olveda RM, Chau TN, Olveda DU, Ross AG. Prevention and control of schistosomiasis: a current perspective. Res Rep Trop Med. 2014;2014(5):65–75.PubMed
8.
Zurück zum Zitat Derouin F. Parasitic infection in immunocompromised patients. Rev Prat. 2007;57(2):167–73.PubMed Derouin F. Parasitic infection in immunocompromised patients. Rev Prat. 2007;57(2):167–73.PubMed
9.
Zurück zum Zitat Cheesbrough M. District laboratory practice in tropical countries, part 1. 2nd ed. New York: Cambridge University Press; 2009. Cheesbrough M. District laboratory practice in tropical countries, part 1. 2nd ed. New York: Cambridge University Press; 2009.
10.
Zurück zum Zitat WHO Expert Committee on the Control of Schistosomiasis (2001 : Geneva, Switzerland) & World Health Organization. Prevention and control of schistosomiasis and soil-transmitted helminthiasis: report of a WHO expert committee: World Health Organization; 2002. https://apps.who.int/iris/handle/10665/42588. Accessed 21 June 2020. WHO Expert Committee on the Control of Schistosomiasis (2001 : Geneva, Switzerland) & World Health Organization. Prevention and control of schistosomiasis and soil-transmitted helminthiasis: report of a WHO expert committee: World Health Organization; 2002. https://​apps.​who.​int/​iris/​handle/​10665/​42588. Accessed 21 June 2020.
11.
Zurück zum Zitat Thétiot-Laurent SAL, Boissier J, Robert A, Meunier B. Schistosomiasis chemotherapy. Angew Chem Int Ed Eng. 2013;52(31):7936–56.CrossRef Thétiot-Laurent SAL, Boissier J, Robert A, Meunier B. Schistosomiasis chemotherapy. Angew Chem Int Ed Eng. 2013;52(31):7936–56.CrossRef
12.
Zurück zum Zitat GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the global burden of disease study 2015. Lancet. 2016;388(10053):1459–544.CrossRef GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the global burden of disease study 2015. Lancet. 2016;388(10053):1459–544.CrossRef
13.
Zurück zum Zitat King CH, Galvani AP. Underestimation of the global burden of schistosomiasis. Lancet. 2018;391(10118):307–8.PubMedCrossRef King CH, Galvani AP. Underestimation of the global burden of schistosomiasis. Lancet. 2018;391(10118):307–8.PubMedCrossRef
15.
Zurück zum Zitat Stephenson LS, Latham MC, Ottesen EA. Malnutrition and parasitic helminth infections. Parasitology. 2000;121:23–38.CrossRef Stephenson LS, Latham MC, Ottesen EA. Malnutrition and parasitic helminth infections. Parasitology. 2000;121:23–38.CrossRef
16.
Zurück zum Zitat Musso G, Gambino R, Cassader M. Interactions between gut microbiota and host metabolism predisposing to obesity and diabetes. Annu Rev Med. 2011;62:361–80.PubMedCrossRef Musso G, Gambino R, Cassader M. Interactions between gut microbiota and host metabolism predisposing to obesity and diabetes. Annu Rev Med. 2011;62:361–80.PubMedCrossRef
17.
Zurück zum Zitat Wu Y, Ding Y, Tanaka Y, Zhang W. Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention. Int J Med Sci. 2014;11(11):1185–200.PubMedPubMedCentralCrossRef Wu Y, Ding Y, Tanaka Y, Zhang W. Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention. Int J Med Sci. 2014;11(11):1185–200.PubMedPubMedCentralCrossRef
18.
Zurück zum Zitat Calvet HM. YoshikawaTT. Infections in diabetes. Infect Dis Clin N Am. 2001;15(2):407–21.CrossRef Calvet HM. YoshikawaTT. Infections in diabetes. Infect Dis Clin N Am. 2001;15(2):407–21.CrossRef
19.
Zurück zum Zitat Casqueiro J, Casqueiro J, Alves C. Infections in patients with diabetes mellitus: a review of pathogenesis. Indian J Endocrinol Metab. 2012;16(Suppl 1):27–36. Casqueiro J, Casqueiro J, Alves C. Infections in patients with diabetes mellitus: a review of pathogenesis. Indian J Endocrinol Metab. 2012;16(Suppl 1):27–36.
20.
Zurück zum Zitat Magaisa K, Taylor M, Kjetland EF, Naidoo PJ. A review of the control of schistosomiasis in South Africa. S Afr J Sci. 2015;111(11–12):1–6. Magaisa K, Taylor M, Kjetland EF, Naidoo PJ. A review of the control of schistosomiasis in South Africa. S Afr J Sci. 2015;111(11–12):1–6.
21.
Zurück zum Zitat Montresor A, Crompton DWT, Hall A, Bundy DAP, Savioli L. Guidelines for the evaluation of soil-transmitted helminthiasis and schistosomiasis at community level: a guide for managers of control programmes. World Health Organization. 1998. https://apps.who.int/iris/handle/10665/63821. Accessed 21 June 2020. Montresor A, Crompton DWT, Hall A, Bundy DAP, Savioli L. Guidelines for the evaluation of soil-transmitted helminthiasis and schistosomiasis at community level: a guide for managers of control programmes. World Health Organization. 1998. https://​apps.​who.​int/​iris/​handle/​10665/​63821. Accessed 21 June 2020.
23.
Zurück zum Zitat Bajiro M, Dana D, Levecke B. Prevalence and intensity of Schistosoma mansoni infections among schoolchildren attending primary schools in an urban setting in southwest, Ethiopia. BMC Res Notes. 2017;10(1):677.PubMedPubMedCentralCrossRef Bajiro M, Dana D, Levecke B. Prevalence and intensity of Schistosoma mansoni infections among schoolchildren attending primary schools in an urban setting in southwest, Ethiopia. BMC Res Notes. 2017;10(1):677.PubMedPubMedCentralCrossRef
25.
Zurück zum Zitat Htun NSN, Odermatt P, Müller I, Yap P, Steinmann P, Schindler C, et al. Association between gastrointestinal tract infections and glycated hemoglobin in school children of poor neighborhoods in Port Elizabeth, South Africa. PLoS Negl Trop Dis. 2018;12(3):e0006332.PubMedPubMedCentralCrossRef Htun NSN, Odermatt P, Müller I, Yap P, Steinmann P, Schindler C, et al. Association between gastrointestinal tract infections and glycated hemoglobin in school children of poor neighborhoods in Port Elizabeth, South Africa. PLoS Negl Trop Dis. 2018;12(3):e0006332.PubMedPubMedCentralCrossRef
26.
Zurück zum Zitat Behera B, Mirdha BR, Makharia GK, Bhatnagar S, Dattagupta S, Samantaray JC. Parasites in patients with malabsorption syndrome: a clinical study in children and adults. Dig Dis Sci. 2008;53(3):672–9.PubMedCrossRef Behera B, Mirdha BR, Makharia GK, Bhatnagar S, Dattagupta S, Samantaray JC. Parasites in patients with malabsorption syndrome: a clinical study in children and adults. Dig Dis Sci. 2008;53(3):672–9.PubMedCrossRef
27.
Zurück zum Zitat Morimoto M, Azuma N, Kadowaki H, Abe T, Suto Y. Regulation of type 2 diabetes by helminth-induced Th2 immune response. J Vet Med Sci. 2017;78(12):1855–64.PubMedCrossRef Morimoto M, Azuma N, Kadowaki H, Abe T, Suto Y. Regulation of type 2 diabetes by helminth-induced Th2 immune response. J Vet Med Sci. 2017;78(12):1855–64.PubMedCrossRef
28.
Zurück zum Zitat Yang Z, Grinchuk V, Smith A, Qin B, Bohl JA, Sun R, et al. Parasitic nematode-induced modulation of body weight and associated metabolic dysfunction in mouse models of obesity. Infect Immun. 2013;81(6):1905–14.PubMedPubMedCentralCrossRef Yang Z, Grinchuk V, Smith A, Qin B, Bohl JA, Sun R, et al. Parasitic nematode-induced modulation of body weight and associated metabolic dysfunction in mouse models of obesity. Infect Immun. 2013;81(6):1905–14.PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Hussaarts L, García-Tardón N, van Beek L, Heemskerk MM, Haeberlein S, van der Zon GC, et al. Chronic helminth infection and helminth-derived egg antigens promote adipose tissue M2 macrophages and improve insulin sensitivity in obese mice. FASEB J. 2015;29(7):3027–39.PubMedCrossRef Hussaarts L, García-Tardón N, van Beek L, Heemskerk MM, Haeberlein S, van der Zon GC, et al. Chronic helminth infection and helminth-derived egg antigens promote adipose tissue M2 macrophages and improve insulin sensitivity in obese mice. FASEB J. 2015;29(7):3027–39.PubMedCrossRef
30.
Zurück zum Zitat Tracey EF, McDermott RA, McDonald MI. Do worms protect against the metabolic syndrome? A systematic review and meta-analysis. Diabetes Res Clin Pract. 2016;120:209–20.PubMedCrossRef Tracey EF, McDermott RA, McDonald MI. Do worms protect against the metabolic syndrome? A systematic review and meta-analysis. Diabetes Res Clin Pract. 2016;120:209–20.PubMedCrossRef
31.
Zurück zum Zitat Zaccone P, Hall SW. Helminth infection and type 1 diabetes. Rev Diabet Stud. 2012;9(4):272–86.PubMedCrossRef Zaccone P, Hall SW. Helminth infection and type 1 diabetes. Rev Diabet Stud. 2012;9(4):272–86.PubMedCrossRef
32.
Zurück zum Zitat Zaiss MM, Harris NL. Interactions between the intestinal microbiome and helminth parasites. Parasite Immunol. 2016;38(1):5–11.PubMedCrossRef Zaiss MM, Harris NL. Interactions between the intestinal microbiome and helminth parasites. Parasite Immunol. 2016;38(1):5–11.PubMedCrossRef
33.
Zurück zum Zitat Mohtashamipour M, Hoseini SG, Pestehchian N, Yousefi H, Fallah E, Hazratian T. Intestinal parasitic infections in patients with diabetes mellitus: a case-control study. J Anal Res Clin Med. 2015;3(3):157–63.CrossRef Mohtashamipour M, Hoseini SG, Pestehchian N, Yousefi H, Fallah E, Hazratian T. Intestinal parasitic infections in patients with diabetes mellitus: a case-control study. J Anal Res Clin Med. 2015;3(3):157–63.CrossRef
34.
Zurück zum Zitat Mudassar S, Javaid QA, Ali M, Ansari F. Comparative study of intestinal parasites isolated and identified from type-2 diabetic and non-diabetic population reporting to arif memorial hospital, Lahore. Int J Contemp Med Res. 2018;5(1):5–7. Mudassar S, Javaid QA, Ali M, Ansari F. Comparative study of intestinal parasites isolated and identified from type-2 diabetic and non-diabetic population reporting to arif memorial hospital, Lahore. Int J Contemp Med Res. 2018;5(1):5–7.
35.
Zurück zum Zitat Akinbo FO, Olujobi SO, Omoregie R, Egbe C. Intestinal parasitic infections among diabetes mellitus patients. Biomark Genom Med. 2013;5(1–2):44–7.CrossRef Akinbo FO, Olujobi SO, Omoregie R, Egbe C. Intestinal parasitic infections among diabetes mellitus patients. Biomark Genom Med. 2013;5(1–2):44–7.CrossRef
36.
Zurück zum Zitat Fattahi Bafghi A, Afkhami-Ardekani M, Dehghani TA. Frequency distribution of intestinal parasitic infections in diabetic patients–Yazd 2013. IJDO. 2015;7(1):33–7. Fattahi Bafghi A, Afkhami-Ardekani M, Dehghani TA. Frequency distribution of intestinal parasitic infections in diabetic patients–Yazd 2013. IJDO. 2015;7(1):33–7.
37.
Zurück zum Zitat Akhlaghi L, Gharavi MJ, Faghihi AH, Jabbari M. Survey on the prevalence rates of intestinal parasites in diabetic patients in Karaj and Savodjbolagh cities. RJMS. 2005;12(45):23–9. Akhlaghi L, Gharavi MJ, Faghihi AH, Jabbari M. Survey on the prevalence rates of intestinal parasites in diabetic patients in Karaj and Savodjbolagh cities. RJMS. 2005;12(45):23–9.
38.
Zurück zum Zitat Elnadi NA, Hassanien HA, Ahmad AM, Abd Ellah AK. Intestinal parasites in diabetic patients in SOHAG UNIVERSITY hospitals, Egypt. J Egypt Soc Parasitol. 2015;45(2):443–9.PubMedCrossRef Elnadi NA, Hassanien HA, Ahmad AM, Abd Ellah AK. Intestinal parasites in diabetic patients in SOHAG UNIVERSITY hospitals, Egypt. J Egypt Soc Parasitol. 2015;45(2):443–9.PubMedCrossRef
39.
Zurück zum Zitat Tangi FB, Fokam EB, Longdoh NA, Eteneneng EJ. Intestinal parasites in diabetes mellitus patients in the Limbe and Buea municipalities, Cameroon. Diab Res Open J. 2016;2(1):1–7.CrossRef Tangi FB, Fokam EB, Longdoh NA, Eteneneng EJ. Intestinal parasites in diabetes mellitus patients in the Limbe and Buea municipalities, Cameroon. Diab Res Open J. 2016;2(1):1–7.CrossRef
40.
Zurück zum Zitat Nazligul Y, Sabuncu T, Ozbilge H. Is there a predisposition to intestinal parasitosis in diabetic patients?. Diabetes Care. 2001;24(8):1503–4.PubMedCrossRef Nazligul Y, Sabuncu T, Ozbilge H. Is there a predisposition to intestinal parasitosis in diabetic patients?. Diabetes Care. 2001;24(8):1503–4.PubMedCrossRef
41.
Zurück zum Zitat Machado ER, Matos NO, Rezende SM, Carlos D, Silva TC, Rodrigues L, et al. Host-parasite interactions in individuals with type 1 and 2 diabetes result in higher frequency of Ascaris lumbricoides and Giardia lamblia in type 2 diabetic individuals. J Diabetes Res. 2018;2018:4238435.PubMedPubMedCentralCrossRef Machado ER, Matos NO, Rezende SM, Carlos D, Silva TC, Rodrigues L, et al. Host-parasite interactions in individuals with type 1 and 2 diabetes result in higher frequency of Ascaris lumbricoides and Giardia lamblia in type 2 diabetic individuals. J Diabetes Res. 2018;2018:4238435.PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Fuhrimann S, Winkler MS, Pham-Duc P, Do-Trung D, Schindler C, Utzinger J, et al. Intestinal parasite infections and associated risk factors in communities exposed to wastewater in urban and peri-urban transition zones in Hanoi, Vietnam. Parasit Vectors. 2016;9(1):537.PubMedPubMedCentralCrossRef Fuhrimann S, Winkler MS, Pham-Duc P, Do-Trung D, Schindler C, Utzinger J, et al. Intestinal parasite infections and associated risk factors in communities exposed to wastewater in urban and peri-urban transition zones in Hanoi, Vietnam. Parasit Vectors. 2016;9(1):537.PubMedPubMedCentralCrossRef
43.
Zurück zum Zitat Aryeetey YA, Essien-Baidoo S, Larbi IA, Ahmed K, Amoah AS, Obeng BB, et al. Molecular diagnosis of Schistosoma infections in urine samples of school children in Ghana. Am J Trop Med Hyg. 2013;88(6):1028–31.PubMedPubMedCentralCrossRef Aryeetey YA, Essien-Baidoo S, Larbi IA, Ahmed K, Amoah AS, Obeng BB, et al. Molecular diagnosis of Schistosoma infections in urine samples of school children in Ghana. Am J Trop Med Hyg. 2013;88(6):1028–31.PubMedPubMedCentralCrossRef
Metadaten
Titel
Association of urogenital and intestinal parasitic infections with type 2 diabetes individuals: a comparative study
verfasst von
Babiker Saad Almugadam
Mihad Khaleil Ibrahim
Yinhui Liu
Shen-min Chen
Chun-hao Wang
Chen-yi Shao
Bao-wei Ren
Li Tang
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2021
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-020-05629-9

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