Literature DB >> 28761476

Prevalence, Clinical Manifestations and Genotyping of Cryptosporidium Spp. in Patients with Gastrointestinal Illnesses in Western Iran.

Hamed Kiani1,2, Ali Haghighi1, Seyyed Javad Seyyedtabaei1, Eznollah Azargashsb3, Nozhat Zebardast1, Niloofar Taghipour1, Ali Rostami1,4, Lihua Xiao5.   

Abstract

BACKGROUND: Cryptosporidium species are recognized as important gastrointestinal pathogens. This study was conducted to identify the prevalence, clinical manifestations and genotyping of Cryptosporidium spp. in patients with gastrointestinal illnesses (GIs) in western Iran.
METHODS: Overall, 1301 fecal samples were collected from patients with GIs referred to the 12 clinical laboratories in Nahavand County, west of Iran. Modified Ziehl-Neelsen staining method was used to identify the oocysts. DNA was extracted from positive samples and Cryptosporidium spp. were characterized by Nested PCR and sequence analysis of the 60-kDa glycoprotein (gp60) gene. Data analysis was performed using SPSS ver. 16.
RESULTS: Prevalence of cryptosporidiosis was 1.3% (17/1301). Cryptosporidium infection was significantly associated with vomiting and nausea (P=0.001, OR=0.013; CI 95%=0.004- 0.044), abdominal pain (P=0.018, OR=0.073; CI 95%=0.008- 0.633) and diarrhea (P=0.001, OR=0.092; CI 95%=0.023- 0.362). Of the 17 isolates typed, 11 belonged to the C. parvum IId subtype family (subtypes IIdA26G1 and IIdA20G1) and six belonged to the C. parvum IIa subtype family (subtypes IIaA15G2R1 and IIaA16G3R1). There was no significant difference between sub-type families IIa and IId in occurrence of clinical symptoms (P= 0.75).
CONCLUSION: Improved hygiene and avoidance of contact with animals and contaminated soil should be advocated to reduce the occurrence of Cryptosporidium infections, especially in children.

Entities:  

Keywords:  Clinical manifestations; Cryptosporidiosis; Gastrointestinal illnesses; Genotyping; Iran

Year:  2017        PMID: 28761476      PMCID: PMC5527026     

Source DB:  PubMed          Journal:  Iran J Parasitol        ISSN: 1735-7020            Impact factor:   1.012


Introduction

A cute gastrointestinal illnesses (AGIs) are major causes of hospitalization throughout the world. In developing countries, AGIs are one of the leading causes of morbidity and mortality (1). The most common symptoms of gastrointestinal illnesses (GI) are diarrhea, abdominal pain, and vomiting. Diarrhea is the second leading cause of deaths among children less than five years of age, especially in low and middle-income countries (2). Intestinal protozoan and helminthic infections are among leading causes of gastrointestinal disorders (3, 4). Protozoa of the genus Cryptosporidium are recognized as important gastrointestinal pathogens that infect a wide range of vertebrates including humans. Cryptosporidium spp. are well adapted to zoonotic, waterborne and food-borne transmission, and transmitted to hosts by the fecal-oral route (5). Cryptosporidium spp. can cause a wide spectrum of symptoms, from severe life-threatening diarrhea or vomiting in immunocompromised patients to asymptomatic and self-limiting infection in immunocompetent individuals (4, 6). C. hominis and C. parvum are the most common etiologic agents of human cryptosporidiosis worldwide, and the latter is commonly responsible for zoonotic infections (7). Other reported zoonotic Cryptosporidium species include C. meleagridis, C. felis, C. muris, C. canis, and C. ubiquitum (8, 9). A variety of molecular methods has been used for differentiation of Cryptosporidium species/genotypes and C. parvum and C. hominis subtypes. Subtyping tools have been used extensively in studies of the transmission of C. hominis in humans and C. parvum in humans and ruminants (9). The DNA sequence analysis of 60-kDa glycoprotein gene (gp60) is currently the most widely used genetic marker in studies of the host adaptation, genetic diversity, transmission dynamics and infection sources of Cryptosporidium spp. (8, 9). The gp60 subtyping showed that C. parvum had 12 sub-type families (IIa–IIl) and subtype families IIa and IId are considered major zoonotic ones, whilst IIc subtype family considered the major anthroponotic one. C. hominis has been polymorphic and has at least seven subtype families (Ia–Ig) (9, 10). Several molecular and epidemiological studies in Iran have demonstrated moderate prevalence of Cryptosporidium spp. in different populations and have shown that C. parvum is the predominant species in human and livestock (4, 11–13). The main aim of the present study was to evaluate the occurrence, clinical manifestations and subtypes of Cryptosporidium spp. in patients with acute gastrointestinal illnesses in Nahavand County, western Iran.

Materials and Methods

Study area and population

This cross-sectional study was conducted from Apr to Sept 2014 in 1301 patients with GIs referred to the 12 clinical laboratories in Nahavand County, west of Iran. Patients not given any anti-parasitic drugs in the week prior to the study were included in this study. A questionnaire survey was administered to each participant focusing on demography (age, gender, and location), gastrointestinal symptoms (abdominal pain, cramping, bloating, vomiting & nausea, diarrhea, dysentery, and constipation), living condition and water usage.

Microscopy of stool specimens

After completing the questionnaire, all participants were given a clean and dry plastic container pre-labeled with their identification numbers. The fecal specimens were examined microscopically to determine the consistency, presence of blood and mucus and any other abnormalities. To identify oocysts of Cryptosporidium spp., a permanent slide was prepared for each sample after oocyst concentration with the formaldehyde-diethyl ether centrifugation method, and stained with the modified Ziehl–Neelsen acid-fast technique, as described previously (14). Samples with excessive mucus were smeared directly and stained without concentration technique. The stained smears were examined under a microscope (Zeiss, Germany, 100× magnification). All positive Cryptosporidium specimens were stored in 70% ethanol for DNA extraction.

DNA extraction

Extraction of genomic DNA was performed using 100 mg of stool specimens and the DNA isolation stool mini kit (Yekta Tajhiz Azma Co., Iran) according to the manufacturer’s instructions, after washing of specimens three times with phosphate buffered saline (PBS) by centrifugation at 14000 rpm for 4 min. The extracted DNA was stored at −20°C until PCR analysis.

PCR Amplification

A ∼400-bp fragment of the gp60 gene was amplified by nested PCR using the primer sets 5′-ATAGTCTCCGCTGTATTC-3′ and 5′-GCA GAGGAACCAGCATC-3′ in the primary PCR and 5′-TCCGCTGTATTCTCAGCC-3′ and 5′-GAGATATATCTTGGTGCG-3′ in the secondary PCR, as described previously (13). The PCR was performed using the Taq DNA Polymerase Master Mix Red (Amplicon, Denmark). The reaction mixture contained 5 μl distilled water, 7.5 μl master mix, 20 pmol forward and reverse primers and about 25-100 ng/μl of extracted DNA in a final volume of 15 μl. DNA from a known Cryptosporidium species and a blank containing all PCR reagents but no DNA were included in each set of PCR as positive and negative controls, respectively. PCR products were visualized by electrophoresis on 1.5% agarose gels stained with ethidium bromide.

DNA sequence analysis

Products of the secondary PCR were sequenced in using Applied Biosystems 3730/3730×l DNA Analyzers (Bioneer, Korea). All sequences were assembled and edited manually using the Chromas program version 1.0.0.1. Basic Local Alignment Search Tool (BLAST) was used to analyze sequences obtained from this study against data in Gen-Bank. The established subtype nomemclature was used in naming C. parvum subtypes (9).

Statistical analysis

Data from the study were analyzed using the SPSS software version 16 (SPSS, Chicago, IL, USA). Categorical variables are presented as frequencies and percentage. Logistic regression analysis was used to identify potential risk factors for cryptosporidiosis occurrence. Associations were tested using odds ratios (OR) and 95% confidence intervals (CI) after adjustments. P values <0.05 were considered statistically significant.

Ethical Considerations

All procedures in this study were approved by the Ethics Committee of the Shahid Beheshti University of Medical Science, before the beginning of the study (Grant. No. 13/1285). All study participants were informed about the study procedures and written informed consents were obtained from all of them prior to sample collection.

Results

Occurrence of cryptosporidiosis

Overall, 1301 GIs patients, 619 (47.6%) were female, 682 (52.4%) male. The median age of the study participants was 26 yr (range: 22 d to 90 yr). The prevalence of cryptosporidiosis among patients was 1.3% (17/1301).

Cryptosporidium genotypes and subtypes

Species identification by nested PCR was successful for all 17 Cryptosporidium-positive specimens (Fig. 1).
Fig. 1:

Identification of Cryptosporidium species using Nested PCR. Lan 1, DNA Marker (100 bp,); Lan 2–15, DNA samples amplified with 60-kDa glycoprotein (gp60) gene amplimer pairs (400 bp); Lan 16, positive control sample; Lan 17, negative control

Identification of Cryptosporidium species using Nested PCR. Lan 1, DNA Marker (100 bp,); Lan 2–15, DNA samples amplified with 60-kDa glycoprotein (gp60) gene amplimer pairs (400 bp); Lan 16, positive control sample; Lan 17, negative control Sequence analysis of the gp60 locus revealed that all 17 positive isolates were from C. parvum. Representative sequences from each identified subtype in this study were deposited in GenBank/EMBl/DDBJ under accession no. KR982672–KR982688. Two C. parvum subtype families, IId (11/17) and IIa (6/17), were identified. Within these two C. parvum subtype families, two subtypes were each found in each subtype family: IIdA20G1 (7/17) and IIdA26G1 (4/17) in IId and IIaA15G2R1 (5/17) and IIaA16G3R1 (1/17) in IIa.

Cryptosporidium subtypes and risk factors

The results of the logistic regression analysis of risk factors associated with cryptosporidiosis are shown in Table 1. In the outcome of this model only contact with domestic animals or soil (P=0.007, OR = 0.128; CI 95%= 0.029–0.565) and age (P=0.001) were identified as the major socio-demographic determinants of Cryptosporidium infection.
Table 1:

Univariate analysis of risk factors associated with frequency of cryptosporidiosis among patients with gastrointestinal disorders from western Iran (n = 1301)

VariablePositiveNegativeTotalORCI 95%P-value
 n (%)n (%)n (%) LowerUpper 
Gender0.315
Male11 (1.6)671 (98.4)682 (100)Reference
Female6 (0.96)613 (99)619 (100)1.6980.6044.773
Age (Year)0.001
≤67 (1.7)404 (98.3)411 (100)Reference
7–126 (6.7)83 (93.3)89 (100)3.5081.09211.2610.035
> 124 (0.5)797 (99.5)801 (100)0.1940.0550.6800.010
Residence0.057
Rural13 (1.9)670 (98.1)683 (100)Reference
Urban4 (0.6)614 (99.4)618 (100)0.3360.1091.035
Contact with domestic animal & soil0.007
Yes14 (2.9)471 (97.1)485 (100)Reference
No3 (0.4)813 (99.6)816 (100)0.1280.0290.565
Water supply status0.057
Untreated (river, well, rain water)13 (1.9)670 (98.1)683 (100)Reference
Treated pipe water4 (0.6)614 (99.4)618 (100)0.3360.1091.035
Seasons0.082
Spring3 (0.55)535 (99.4)538 (100)Reference
Summer14 (1.8)749 (98.2)763 (100)3.1510.86511.479
Univariate analysis of risk factors associated with frequency of cryptosporidiosis among patients with gastrointestinal disorders from western Iran (n = 1301) All patients (5/5) who were infected with subtype family IIa had contact with domestic animals or soil. Children 7–12 yr were more commonly infected (6.7%) than other age groups (P=0.035, OR = 3.508; CI 95%= 1.902–11.261). All subtypes IIa were found in children younger than 10 yr, but IId subtypes were identified in all age groups. Although the majority of Cryptosporidium-positive patients were male and lived in rural areas, we did not found any significant association between Cryptosporidium infection and residence or gender (P>0.05). Moreover, there was no significant association between Cryptosporidium infection and season or water supply type (P>0.05).

Clinical features of cryptosporidiosis

Overall, Cryptosporidium infection was significantly associated with diarrhea (P=0.001, OR=0.092; CI 95%=0.023– 0.362), vomiting & nausea (P=0.001, OR=0.013; CI 95%= 0.004–0.044) and abdominal pain (P=0.018, OR=0.073; CI 95%=0.008–0.633) in logistic regression analysis. No significant associations were found between cramping (P=0.052) or bloating (P= 0.746) and Cryptosporidium infection (Table 2).
Table 2:

Clinical features associated with frequency of cryptosporidiosis among patients with gastrointestinal disorders from western Iran (n = 1301)

SymptomsSamples (n)Positive CryptosporidiumORCI 95%P-value
  n (%) LowerUpper 
Abdominal pain0.018
Yes98016 (1.6)Reference
No3211 (0.3)0.0730.0080.633
Nausea or vomiting0.001
Yes5810 (17.24)Reference
No12437 (0.56)0.0130.0040.044
Crumping0.052
Yes5233 (0.6)Reference
No77814 (1.8)4.5190.99020.632
Bloating0.746
Yes1681 (0.6)Reference
No113316 (1.4)1.4900.13316.647
Diarrhea0.001
Yes58513 (2.2)Reference
No7164 (0.6)0.0920.0230.362
Clinical features associated with frequency of cryptosporidiosis among patients with gastrointestinal disorders from western Iran (n = 1301) Among patients infected with the IId sub-type family, 90.1% (10/11) reported abdominal pain, 72.7% (8/11) reported diarrhea and 54.5% (6/11) of patients reported vomiting and nausea. Among those infected with the IIa subtype family, all (6/6) had abdominal pain, 83.3% (5/6) had diarrhea and 50% (3/6) of patients had vomiting and nausea. There was no significant difference between subtype families IIa and IId in the occurrence of clinical symptoms (P= 0.75).

Discussion

The infection rate of Cryptosporidium spp. in our study (1.3%) was lower than rates (2.3%–11.5%) reported from previous studies in Iran (4, 11, 15, 16). This difference may be due to differences in geographical locations, study population, and detection methods. The rate of Cryptosporidium infection in our study was closer to that reported from children with gastrointestinal illness in Jordan (1.8%) and Philippine (1.9%), and far lower than the rate detected in diarrhea patients in Australia (78%), Ethiopia (20.8%) and Egypt (17%) (17–21). Findings from the present study revealed that zoonotic transmission of Cryptosporidium is common amongst humans in western Iran. Of the 17 isolates that were typed, all were C. parvum. This result is similar to recent reports from northern Iran (16). C. parvum was the predominant Cryptosporidium species in humans and animals (11, 22, 23). However, another study in Iran has identified C. hominis (15/21) as the most common species in HIV-positive patients (24). Elsewhere in Middle East countries, C. parvum is the predominant Cryptosporidium species in humans (19, 25–27). In this study, sequence analysis of the gp60 locus identified two C. parvum subtype families (IIa, IId) and four subtypes (IIaA15G2R1, IIaA16G3R1, IIdA26G1, IIdA20G1). The majority of Cryptosporidium infections were caused by IId subtypes (11/17). The IId sub-types have previously been reported commonly in humans in Iran (13, 16) and Kuwait (26), but less frequently in Ethiopia (28), Australia (29) and United Kingdom (30). This subtype family has also reported in sheep and goat in Spain (31) and calves in China, Egypt, and Sweden (32–34). In this study, 72% (8/11) of patients with IId had contact with domestic animals. Two of the subtypes detected in this study (IIdA26G1and IIdA20G1) were previously reported in children in Iran (13). The IIdA20G1 subtype was predominant subtype identified in our study and was previously reported in human in Kuwait and Jordan (19, 26). The subtype IIdA26G1 was previously reported in lambs and goat kids in Spain (31). In addition to IId, subtype family of IIa was also identified in six patients in this study (6/17). IIa is the most prevalent subtype family in animals and human worldwide (32). The IIaA15G2R1 subtype identified in the present study (5/6) is a dominant C. parvum subtype in dairy calves around the world (9), supporting the role of zoonotic transmission in cryptosporidiosis in patients in our study. Consistent with this, all IIa patients in the present study had contact with domestic animals. The IIaA16G3R1 subtype was also reported in calves in United States, Ireland and Iran (13, 35–37). Moreover, it was found in humans in Canada and Denmark (35, 38). Our study is first to reporting the IIaA16G3R1 subtype in humans in Iran. Different Cryptosporidium species and sub-types are associated with different clinical symptoms (28, 39). In the present study, Cryptosporidium infection was significantly associated with the occurrence of diarrhea, vomiting & nausea and abdominal pain. However, there was no significant difference between the two subtype families in clinical symptoms. In agreement with our results, C. parvum infection was associated with diarrhea and vomiting in HIV–infected persons, although in another study (40) they reported that C. parvum infection was associated only with diarrhea in children (39). Similar results were obtained from Ethiopia, where C. parvum especially IIa sub-type, family was associated only with the occurrence of diarrhea (28). The role of parasite genetics in clinical manifestations of cryptosporidiosis is still not clear and further studies are needed to elucidate fully the characteristics of this association. Results of the risk factor analysis support the role of zoonotic transmission in Cryptosporidium epidemiology in patients in western Iran. Among infected patients, 82.3% (14/17) reported contacted with domestic animals. Another significant risk factor in our study was age. We found that all patients with IIa sub-type family infection were younger than ten years, while those infected patients with IId subtype family were in different age groups (8–45 yr). These results are consistent with previous studies in Iran and elsewhere (13, 16, 17, 28, 30, 41).

Conclusion

Cryptosporidiosis may be an important cause of gastrointestinal illnesses, especially among children. Moreover, C. parvum is the main species in Nahavan County, west of Iran, suggesting that zoonotic transmission is main route in the acquisition of cryptosporidiosis infection in this region. Therefore, improved hygiene and avoidance of contact with animals and contaminated soil should be advocated to reduce the occurrence of Cryptosporidium infections, especially in children. Further investigations are needed to elucidate fully possible difference in clinical presentations among Cryptosporidium species and major subtypes.
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2.  Longitudinal multi-locus molecular characterisation of sporadic Australian human clinical cases of cryptosporidiosis from 2005 to 2008.

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4.  The use of a nested PCR-RFLP technique, based on the parasite's 18S ribosomal RNA, to characterise Cryptosporidium isolates from HIV/AIDS patients.

Authors:  M Zavvar; J Sadraei; H Emadi; M Pirestani
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Review 5.  Zoonotic cryptosporidiosis.

Authors:  Lihua Xiao; Yaoyu Feng
Journal:  FEMS Immunol Med Microbiol       Date:  2008-01-18

6.  Genetic diversity of Cryptosporidium spp. in cattle in Michigan: implications for understanding the transmission dynamics.

Authors:  Michael M Peng; Mark L Wilson; Robert E Holland; Steven R Meshnick; Altaf A Lal; Lihua Xiao
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7.  Cryptosporidium infections in Denmark, 2010-2014.

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8.  Subtyping Cryptosporidium ubiquitum,a zoonotic pathogen emerging in humans.

Authors:  Na Li; Lihua Xiao; Keri Alderisio; Kristin Elwin; Elizabeth Cebelinski; Rachel Chalmers; Monica Santin; Ronald Fayer; Martin Kvac; Una Ryan; Bohumil Sak; Michal Stanko; Yaqiong Guo; Lin Wang; Longxian Zhang; Jinzhong Cai; Dawn Roellig; Yaoyu Feng
Journal:  Emerg Infect Dis       Date:  2014-02       Impact factor: 6.883

9.  Cryptosporidium species and subtypes and clinical manifestations in children, Peru.

Authors:  Vitaliano A Cama; Caryn Bern; Jacqueline Roberts; Lilia Cabrera; Charles R Sterling; Ynes Ortega; Robert H Gilman; Lihua Xiao
Journal:  Emerg Infect Dis       Date:  2008-10       Impact factor: 6.883

10.  PREVALENCE, RISK FACTORS AND SYMPTOMS ASSOCIATED TO INTESTINAL PARASITE INFECTIONS AMONG PATIENTS WITH GASTROINTESTINAL DISORDERS IN NAHAVAND, WESTERN IRAN.

Authors:  Hamed Kiani; Ali Haghighi; Ali Rostami; Eznollah Azargashb; Seyyed Javad Seyyed Tabaei; Abbas Solgi; Nozhat Zebardast
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2016-05-24       Impact factor: 1.846

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