Literature DB >> 24743521

Distribution and clinical manifestations of Cryptosporidium species and subtypes in HIV/AIDS patients in Ethiopia.

Haileeyesus Adamu1, Beyene Petros2, Guoqing Zhang3, Hailu Kassa4, Said Amer5, Jianbin Ye6, Yaoyu Feng7, Lihua Xiao8.   

Abstract

BACKGROUND: Cryptosporidiosis is an important cause for chronic diarrhea and death in HIV/AIDS patients. Among common Cryptosporidium species in humans, C. parvum is responsible for most zoonotic infections in industrialized nations. Nevertheless, the clinical significance of C. parvum and role of zoonotic transmission in cryptosporidiosis epidemiology in developing countries remain unclear. METHODOLOGY/PRINCIPAL
FINDINGS: In this cross-sectional study, 520 HIV/AIDS patients were examined for Cryptosporidium presence in stool samples using genotyping and subtyping techniques. Altogether, 140 (26.9%) patients were positive for Cryptosporidium spp. by PCR-RFLP analysis of the small subunit rRNA gene, belonging to C. parvum (92 patients), C. hominis (25 patients), C. viatorum (10 patients), C. felis (5 patients), C. meleagridis (3 patients), C. canis (2 patients), C. xiaoi (2 patients), and mixture of C. parvum and C. hominis (1 patient). Sequence analyses of the 60 kDa glycoprotein gene revealed a high genetic diversity within the 82 C. parvum and 19 C. hominis specimens subtyped, including C. parvum zoonotic subtype families IIa (71) and IId (5) and anthroponotic subtype families IIc (2), IIb (1), IIe (1) and If-like (2), and C. hominis subtype families Id (13), Ie (5), and Ib (1). Overall, Cryptosporidium infection was associated with the occurrence of diarrhea and vomiting. Diarrhea was attributable mostly to C. parvum subtype family IIa and C. hominis, whereas vomiting was largely attributable to C. hominis and rare Cryptosporidium species. Calf contact was identified as a significant risk factor for infection with Cryptosporidium spp., especially C. parvum subtype family IIa.
CONCLUSIONS/SIGNIFICANCE: Results of the study indicate that C. parvum is a major cause of cryptosporidiosis in HIV-positive patients and zoonotic transmission is important in cryptosporidiosis epidemiology in Ethiopia. In addition, they confirm that different Cryptosporidium species and subtypes are linked to different clinical manifestations.

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Year:  2014        PMID: 24743521      PMCID: PMC3990574          DOI: 10.1371/journal.pntd.0002831

Source DB:  PubMed          Journal:  PLoS Negl Trop Dis        ISSN: 1935-2727


Introduction

Cryptosporidium is an important protozoan parasite affecting HIV/AIDS patients, causing diarrhea, wasting syndrome, and reduced life quality [1]. Since specific therapy or vaccine for the control of this parasite is not yet available, preventing infections depends on avoiding exposure to the parasite and maintaining immune competence. In industrialized nations, access to highly active antiretroviral therapy (HAART) has significantly reduced the morbidity and mortality by cryptosporidiosis [2]–[4]. Nonetheless, cryptosporidiosis is still a major threat to AIDS patients who do not have access to HAART, especially in developing countries [5]–[8]. In industrialized nations, transmission of cryptosporidiosis via contaminated drinking and recreational water and contact with infected farm animals remains a major public health problem in both HIV-positive and immunocompetent persons [9]–[11]. The use of molecular epidemiologic tools has provided new insights into the diversity of Cryptosporidium species infecting humans and animals [12]. So far, 26 Cryptosporidium species have been described [13]–[17]. Most human cases are caused by C. hominis and C. parvum [12]. The latter also infects some other mammals, notably calves and lambs, and is responsible for most zoonotic infections in humans. Several other Cryptosporidium species are seen in humans at lower frequency, including C. meleagridis, C. felis, C. canis, C. ubiquitum, and C. cuniculus [12]. More recently, a new species, C. viatorum, has been described in 10 travelers returning to Great Britain from the Indian subcontinent [17]. This species appears to be a human-specific pathogen and has since been found in 2 Swedish travelers to Africa and Latin America [18]. In children and HIV-positive persons, differences in clinical manifestations have been observed among different Cryptosporidium species, especially between C. hominis and C. parvum, with the former more virulent than the latter [19]–[21]. In addition, infections with C. parvum were associated with chronic diarrhea and vomiting in HIV-positive persons more frequently than was C. hominis [21]. Sequence characterization of the 60-kDa glycoprotein (gp60) gene has been commonly used in subtyping C. hominis and C. parvum [12]. Differences have been observed in host specificity among C. parvum subtype families and in virulence among C. hominis subtype families. Thus, C. parvum subtype family IIa is commonly found in calves, IId is mostly found in lambs and goat kids, whereas IIc is mostly found in humans. Within C. hominis, studies in Peru have shown that subtype family Ib was more virulent than other subtype families in children, whereas subtype family Id was more virulent than subtype families Ia and Ie in HIV-positive patients [20], [21]. Cryptosporidiosis is endemic in Ethiopia; occurrence rates of 7.6% to 43.6% were reported in HIV/AIDS patients [22]–[26]. Some potential risk factors for cryptosporidiosis occurrence included contamination of drinking water, contact with calves, living in overcrowded households with many family members, and poor personal hygiene. Thus far, only one study has genetically characterized Cryptosporidium spp. from Ethiopia. In the study, 39 of the 41 specimens genotyped had C. parvum, one had C. hominis, and one had both species. All 12 C. parvum specimens subtyped by sequence analysis of the gp60 gene belonged to the subtype family IIa [22]. In the present study, we examined the occurrence of Cryptosporidium infection in HIV/AIDS patients in Ethiopia and characterized Cryptosporidium spp. at the species, subtype family, and subtype levels. We also examined the association between clinical manifestations and infections with specific Cryptosporidium species and subtype families. Data generated from the study have clearly shown a dominance of C. parvum in the study population, importance of zoonotic transmission in the epidemiology of cryptosporidiosis in Ethiopia, and differences in clinical manifestations among Cryptosporidium species and subtypes.

Materials and Methods

Ethical statement

The research protocol was approved by the Ethical Clearance Committee of the Addis Ababa University. All study participants had given written informed consent before enrollment into the study. When the study participant was a child, written consent was obtained from his or her parent or guardian. Researchers at the Centers for Disease Control and Prevention (CDC) had no contact with patients and no access to personal identifiers. Laboratory work on the study specimens was covered under CDC IRB protocol No. 990115: “Use of residual human specimens for the determination of frequency of genotypes or sub-types of pathogenic parasites”.

Study population and enrollment

This study was cross-sectional in nature. It was conducted between September 2009 and December 2011 in Addis Ababa, Ethiopia. A total of 520 HIV/AIDS patients were recruited from in-patients (hospitalized) and outpatients attending the Tikur Anbessa Hospital, Addis Ababa University, and patients referred to the study by attending physicians. The criteria for inclusion in the study were documented HIV infection, the ability to provide informed consent by the patient or the guardian, and willingness to provide one stool specimen. A structured questionnaire was used to collect CD4+ cell counts, demographic data, clinical symptoms, HAART history, antibiotics usage, and animal exposure history. Each participant was asked to provide a single fresh stool specimen.

DNA extraction

Stool specimens were stored in 2.5% potassium dichromate at 4°C and shipped to the CDC laboratory in Atlanta for screening and molecular characterization of Cryptosporidium spp. by PCR. After washing the stool specimens twice with distilled water, genomic DNA was extracted from 0.5 ml of fecal materials using a FastDNA SPIN Kit for Soil (MP Biomedicals, Solon. OH) and eluted in 100 µl of reagent-grade water following the manufacturer-recommended procedures. DNA was stored at −80°C until analyzed by PCR.

Cryptosporidium species detection, genotyping and subtyping

Cryptosporidium oocysts present in the specimens were detected by nested PCR amplification of an approximate 830 bp fragment of the small subunit (SSU) rRNA gene as described previously [27]. Cryptosporidium species were determined by restriction fragment length polymorphism (RFLP) analysis of the secondary PCR products using endonucleases SspI and VspI [27]. PCR products and restriction fragments were subjected to electrophoresis in 1.5% and 2% agarose gels, respectively, and visualized after staining with GelRed (Biotium Inc., Hayward, CA). All secondary PCR products from species other than C. parvum were sequenced to confirm the identification. Specimens that contained C. parvum or C. hominis were further subtyped by DNA sequencing of the nested PCR product of the gp60 gene [28]. Each specimen was analyzed at least twice by PCR at each locus using 2 µl of the DNA extraction per PCR. As a positive control, C. baileyi DNA was used in SSU rRNA PCR and C. hominis DNA was used in gp60 PCR. A negative control using DNase-free water was also included in each PCR run.

Sequence analysis

PCR products were sequenced using the forward and reverse primers of the secondary PCR. An intermediary sequencing primer gp60-R3 [5′-GAG ATA TAT CTT GTT GCG-3′] was also used in the sequencing of gp60 PCR products. DNA sequencing was done using the ABI BigDye Terminator v. 3.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, CA, USA) and an ABI3130 Genetic Analyzer (Applied Biosystems). Sequence accuracy was confirmed by sequencing of two PCR products from each positive specimen. Nucleotide sequences obtained were aligned with reference sequences using the ClustalX 1.81 package (http://www.clustal.org/) to identify Cryptosporidium species and C. parvum subtypes. Subtypes of C. parvum and C. hominis were named based on the established nomenclature system [29]. Unique sequences generated in this study were deposited in GenBank under accession numbers AB830575 to AB830590.

Statistical analysis

Data from the study were analyzed using the SPSS 20.0 for Windows software (IBM Corp, Armonk, NY) at three levels of parasite categorization: presence of Cryptosporidium, species of Cryptosporidium, and subtype families of C. parvum and C. hominis. Data from persons infected with low-frequency species were pooled based on their genetic similarities. Univariate and multivariate logistic regression modeling were used to analyze the association between Cryptosporidium infection and clinical symptoms or risk-factors while adjusting for potential confounders when the sample size was sufficient. For comparisons at the species or subtype family level, separate models and different subsets of the main dataset were run to examine the effect of each species or subtype family, with Cryptosporidium-negative as the referent. The Hosmer-Lemeshow test was used to assess the goodness-of-fit of each multivariate logistic regression model. The strength of the associations was estimated by odds ratios (OR) and 95% confidence intervals (CI). The association was considered statistically significant when the P value obtained was smaller than 0.05.

Results

Study patients and Cryptosporidium occurrence

Among the 520 HIV/AIDS patients who participated in this study, 276 (53.1%) were males and 244 (46.9%) were females. The median age of the study participants was 41 years (range: 7 months to 86 years), and the mean CD4+ cell count was 278 cells/µL. Almost one-third (32.9%) of the study patients were bedridden and hospitalized. Of the 520 stool specimens examined in this study, 140 (26.9%) were positive for Cryptosporidium by the SSU rRNA-based PCR technique (Table 1). There were no significant differences in prevalence of Cryptosporidium infection among age groups and between the male and female gender (Table 1). No significant association between hospitalization and Cryptosporidium infection was found; percentages of Cryptosporidium infection in hospitalized and non-hospitalized patients were 35.7% and 37.4% (P = 0.83). In addition, no significant difference was observed in the occurrence of vomiting, diarrhea, age, HAART, antibiotic use, animal contact and CD4 between inpatients and outpatients. There was also no association between infections with Cryptosporidium spp. or any specific species and hospitalization rates (data not shown).
Table 1

Occurrence of Cryptosporidium spp. (n = 140 cases) in 520 HIV/AIDS patients in Ethiopia by age and gender*.

Age group (year)Sample size (%)No. of patients infected with Cryptosporidium (%)No. of patients infected with each species
MFTotalMFTotal C. parvum C. hominis C. viatorum C. meleagridis C. felis C. canis C. xiaoi C. parvum+C. hominis
MFMFMFMFMFMFMFMF
<5157 (50.5)154 (49.5)311 (59.8)47 (29.9)35 (22.7)82 (26.4)2622116432013201001
6–1065 (62.5)39 (37.5)104 (20)19 (29.2)8 (20.5)27 (26.0)13531111001001000
11–1522 (86.6)4 (13.4)26 (5)7 (31.8)1 (25.0)8 (30.8)5120000000000000
>1532 (42.7)43 (57.3)75 (14.4)9 (28.1)13 (30.2)22 (29.3)71211100000000000
Unknown044 (0.8)01 (25.0)1 (25.0)0100000000000000
Total276 (53.1)244 (46.9)52082 (29.7)58 (23.7)140 (26.9)5141178643014202001

*M: male; F: female.

*M: male; F: female.

Cryptosporidium species and C. hominis and C. parvum subtypes

Species determination by RFLP was successful for 128/140 Cryptosporidium-positive specimens (Table 2). Cryptosporidium parvum (n = 92) and C. hominis (n = 25) were the species most frequently detected, followed by C. felis (n = 5), C. meleagridis (n = 3), C. canis (n = 2), and C. parvum and C. hominis co-infection (n = 1). All SSU rRNA PCR products from non-C. parvum specimens were sequenced, confirming the RFLP results. In addition, 12 specimens demonstrated a RFLP pattern that was similar to C. parvum, but with a slightly smaller upper SspI band. DNA sequences from two of the specimens were identical to a reference sequence of C. xiaoi (GenBank accession no. JQ413443) and those from 10 specimens were identical to a reference sequence (GenBank accession no. HM485434) of C. viatorum, a recently described species in humans [17].
Table 2

Distribution of Cryptosporidium species and C. parvum and C. hominis subtypes in HIV/AIDS patients in Ethiopia (n = 140).

SpeciesSubtype familySubtypeNo. of patients infected
C. parvum 92 (82 subtyped)
IIa71
IIaA13G2R11
IIaA14G2R11
IIaA15G2R160
IIaA16G2R11
IIaA16G3R14
IIaA17G2R12
IIaA18G2R11
IIaA19G1R11
IIb
IIbA121
IIc
IIcA5G3a2
IId5
IIdA17G11
IIdA19G11
IIdA22G12
IIdA24G11
IIe
IIeA12G11
If-like
If-like2
C. hominis 25 (19 subtyped)
Id13
IdA2010
IdA241
IdA262
Ib
IbA10G21
Ie
IeA11G3T35
C. viatorum 10
C. felis 5
C. meleagridi s 3
C. canis 2
C. xiaoi 2
C. parvum + C. hominis 1
Subtype family data were obtained from 82 (89.1%) of the 92 participants with C. parvum and showed the presence of subtype families IIa, IIb, IIc, IId, IIe, and a new subtype family genetically related to If in 71, 1, 2, 5, 1, and 2 persons, respectively. In contrast, 19 (76%) of the 25 participants with C. hominis were successfully subtyped and showed the presence of subtype families Ib, Id, and Ie in 1, 13, and 5 persons, respectively. Within C. parvum, 8 subtypes were from the subtype family IIa. This was followed by subtype families IId with 4, If-like with 2 subtypes, and IIb, IIc, and IIe with 1 subtype each. Thus, participants in the study were infected with 14 subtypes of C. parvum. The most frequently detected subtype was IIaA15G2R1, which was seen in 60 patients. Five subtypes were identified in C. hominis, including IdA20, IdA26, IdA24, IeA11G3T3, and IbA10G2 in 10, 2, 1, 5, and 1 patient, respectively (Table 2).

Cryptosporidium species/subtypes and clinical manifestations

Cryptosporidium infection was significantly associated with diarrhea in univariate analysis (P<0.001), especially in patients with C. parvum and C. hominis (P<0.001 and P = 0.012 respectively). Vomiting was also more often seen in Cryptosporidium-positive than Cryptosporidium-negative patients (63.6% versus 51.8%; P = 0.018). Patients with C. hominis or rare species (C. meleagridis/C. felis/C. canis and C. xiaoi) were more likely to have vomiting compared with Cryptosporidium-negative patients (P = 0.057 and P = 0.027, respectively; Table 3).
Table 3

Association with diarrhea and vomiting by Cryptosporidium species and of C. parvum and C. hominis subtype in HIV/AIDS patients in Ethiopia.

ParameterTotal patientsPatients with symptom (%)CrudeAdjusted# Goodness of fit##
OR (95% CI)* P-value OR (95% CI) P-value P-value
a Risk of diarrhea by Cryptosporidium positivity
Cryptosporidium 140115 (82.1)3.033 (1.88–4.90)0.0003.120 (1.91–5.10)0.0000.93
No Cryptosporidium 380229 (60.3)Referent---
b Risk of diarrhea by Cryptosporidium species **
C. parvum 9274 (80.4)2.711 (1.56–4.72)0.0002.829 (1.60–5.02)0.0000.98
C. hominis 2522 (88)2.199 (1.19–4.05)0.012nanana
C. viatorum 108 (80)1.382 (0.82–2.33)0.224nanana
C. meleagridis/C. felis/C. canis/C. xiaoi 1210 (83.3)1.347 (0.92–1.98)0.127nanana
No Cryptosporidium 380229 (60.3)Referent---
c Risk of diarrhea by subtype family **
C. parvum
IIa7156 (78.9)2.462 (1.34–4.51)0.0032.678 (1.43–5.02)0.0020.96
IIb/IIc/IId/IIe/If-like128 (66.7)1.318 (0.39–4.46)0.655nanana
C. hominis
Id1311 (84.6)3.627 (0.79–16.59)0.077nanana
Ib/Ie65 (83.3)3.291 (0.38–28.50)0.252nanana
No Cryptosporidium 380229(60.3)Referent---
d Risk of vomiting by Cryptosporidium positivity
Cryptosporidium 14089 (63.6)1.621 (1.09–2.42)0.0181.674 (1.11–2.53)0.0140.17
No Cryptosporidium 380197 (51.8)Referent---
e Risk of vomiting by Cryptosporidium species **
C. parvum 9252 (56.5)1.208 (0.76–1.91)0.4201.275 (0.79–2.06)0.3190.48
C. hominis 2518 (72)1.546 (0.99–2.42)0.057nanana
C. viatorum 107 (70)1.294 (0.82–2.04)0.268nanana
C. meleagridis/C. felis/C. canis/C. xiaoi 1211 (91.7)1.788 (1.07–2.99)0.027nanana
No Cryptosporidium 380197 (51.8)Referent---
f Risk of vomiting by subtype family **
C. parvum
IIa7138 (53.5)1.070 (0.64–1.78)0.7951.065 (0.63–1.80)0.8160.33
IIb/IIc/IId/IIe/If-like127 (58.3)1.301 (0.41–4.17)0.658nanana
C. hominis
Id139 (69.2)2.090 (0.63–6.90)0.217nanana
Ib/Ie65 (83.3)4.645 (0.54–40.13)0.126nanana
No Cryptosporidium 380197 (51.8)Referent---

Multivariable logistic regressions were performed to adjust the potential confounders including age, gender, HAART, CD4, and type of patients when sample size was sufficient. na: sample size was too small for multivariate logistic regression analysis.

Hosmer and Lemeshow test was applied to test the goodness of fit of multivariate logistics regression models.

*95% CI: 95% confidence intervals.

**For each Cryptosporidium species or subtype family, patients with the species or subtype family were taken as “positive”, patients who were not infected at all were taken as “negative” (referent), while patients infected with other species or subtype families were not included in this specific model.

Multivariable logistic regressions were performed to adjust the potential confounders including age, gender, HAART, CD4, and type of patients when sample size was sufficient. na: sample size was too small for multivariate logistic regression analysis. Hosmer and Lemeshow test was applied to test the goodness of fit of multivariate logistics regression models. *95% CI: 95% confidence intervals. **For each Cryptosporidium species or subtype family, patients with the species or subtype family were taken as “positive”, patients who were not infected at all were taken as “negative” (referent), while patients infected with other species or subtype families were not included in this specific model. Diarrhea was significantly associated with infections with C. parvum subtype family IIa compared with Cryptosporidium-negative patients (78.9%; P = 0.003). However, there were no significant differences in diarrhea occurrence between patients infected with C. hominis subtype families and Cryptosporidium-negative patients. Patients infected with different C. parvum and C. hominis subtype families also did not show significant differences in the occurrence of vomiting compared to Cryptosporidium-negative patients (P>0.05; Table 3). Multivariable modeling was attempted for diarrhea and vomiting occurrence in order to adjust for age, gender, type of patients and clinical parameters (HAART and CD4+); however, it did not reveal major differences compared with the crude OR (Table 3).

Cryptosporidium species/subtypes and risk factors

After controlling for other potential risk factors, history of any contact with animals was associated with overall Cryptosporidium infections (OR = 1.6; P = 0.04), and with C. parvum (OR = 2.5; P = 0.002) and its subtype family IIa (OR = 2.1; P = 0.02) in particular. This association was mostly due to contact with calves (OR = 1.6 and P = 0.02 for overall Cryptosporidium infection; OR = 1.8 and P = 0.01 for C. parvum; and OR = 2.0 and P = 0.01 for C. parvum subtype family IIa; Table 4). However, there was no significant association between Cryptosporidium infection and age, gender, HAART history, CD4+ cell counts, antibiotics use, or type of patients (P = 0.56, 0.13, 0.59, 0.90, 0.84, and 0.83, respectively). No significant association was found between Cryptosporidium infection and CD4+ cell counts or HAART history at the species and subtype levels (Tables S1 and S2).
Table 4

Association between animal contact and infection with Cryptosporidium species or C. parvum and C. hominis subtypes in HIV/AIDS patients in Ethiopia*.

ParameterTotal PatientsPatients with animal contact n (%)CrudeAdjusted# Goodness of fit##
OR (95% CI)** P-value OR (95% CI) P-value P-value
Animal contact history by Cryptosporidium
Cryptosporidium 140108 (77.1)1.556 (1.01–2.40)0.0461.577 (1.01–2.46)0.0440.81
No Cryptosporidium 380247 (65)Referent---
Animal contact history by Cryptosporidium species ###
C. parvum 9275 (81.5)2.376 (1.35–4.19)0.0032.495 (1.39–4.48)0.0020.49
C. hominis 2521 (84)1.681 (0.98–2.90)0.062nanana
C. viatorum 106 (60)0.931 (0.61–1.43)0.744nanana
C. meleagridis/C. felis/C. canis/C. xiaoi 125 (41.7)0.788 (0.59–1.055)0.108nanana
No Cryptosporidium 380247 (65)Referent---
Animal contact history by subtype family ###
C. parvum
IIa7157 (80.3)2.192 (1.18–4.08)0.0122.124 (1.13–3.98)0.0190.55
IIb/IIc/IId/IIe/If-like129 (75)1.615 (0.43–6.07)0.474nanana
C. hominis
Id1312 (92.3)6.462 (0.83–50.24)0.081nanana
Ib/Ie64 (66.7)1.077 (0.19–5.96)0.729nanana
No Cryptosporidium 380247 (65)Referent---
Calf contact history by Cryptosporidium
Cryptosporidium 14056 (40)1.679 (1.12–2.52)0.0121.628 (1.08–2.46)0.0210.55
No Cryptosporidium 380108 (28.4)Referent---
Calf contact history by Cryptosporidium species ###
C. parvum 9240 (43.5)1.937 (1.22–3.10)0.0061.839 (1.14–2.97)0.0130.69
C. hominis 2515 (60)1.944 (1.29–2.95)0.002nanana
C. viatorum 101 (10)0.654 (0.33–1.31)0.230nanana
C. meleagridis/C. felis/C. canis/C. xiaoi 120nanananana
No Cryptosporidium 380108 (28.4)Referent---
Calf contact history by subtype family ###
C. parvum
IIa7133 (46.5)2.187 (1.30–3.67)0.0032.001(1.18–3.40)0.0100.98
IIb/IIc/IId/IIe/If-like123 (25)0.839 (0.22–3.16)0.796nanana
C. hominis
Id139 (69.2)5.667 (1.71–18.79)0.002nanana
Ib/Ie61 (16.7)0.504 (0.06–4.36)0.526nanana
No Cryptosporidium 380108 (28.4)Referent---

*Contacts with specific animal species other than cattle were not significant risk factors in this study.

**95% CI: 95% confidence intervals.

Multivariable logistic regressions were performed to adjust the potential confounders including age, gender, HAART, CD4, and type of patients when sample size was sufficient. na: sample size was too small for multivariate logistic regression analysis.

Hosmer and Lemeshow test was applied to test the goodness of fit of multivariate logistics regression models.

For each Cryptosporidium species or subtype family, patients with the species or subtype family were taken as “positive”, patients who were not infected at all were taken as “negative” (referent), while patients infected with other species or subtype families were not included in this specific model.

*Contacts with specific animal species other than cattle were not significant risk factors in this study. **95% CI: 95% confidence intervals. Multivariable logistic regressions were performed to adjust the potential confounders including age, gender, HAART, CD4, and type of patients when sample size was sufficient. na: sample size was too small for multivariate logistic regression analysis. Hosmer and Lemeshow test was applied to test the goodness of fit of multivariate logistics regression models. For each Cryptosporidium species or subtype family, patients with the species or subtype family were taken as “positive”, patients who were not infected at all were taken as “negative” (referent), while patients infected with other species or subtype families were not included in this specific model.

Discussion

The present findings showed that (1) Ethiopian HIV/AIDS patients were infected with a diverse population of Cryptosporidium species, including the unusual species C. viatorum and C. xiaoi; (2) C. parvum was the most frequently detected species; and (3) Cryptosporidium species or subtype families were associated with different clinical manifestations. The dominance of C. parvum in this study is in agreement with the previous observation in a small study in Ethiopia [22]. It is, however, in sharp contrast with studies of human cryptosporidiosis in other developing countries where C. hominis dominates [12], [30], [31]. In Europe, the two species are almost evenly distributed, with C. parvum being more prevalent in some reports [32] and C. hominis in others [33]. Data from this study also indicate that the recently established species C. viatorum is more widely distributed than believed, and humans can be infected occasionally with the sheep and goat parasite C. xiaoi. As expected, the prevalence of cryptosporidiosis in HIV+ patients (26.9%) in this study is substantially higher than in the largely healthy persons (8.7%) in a previous study conducted in the same area [22]. Differences in geographical distribution of C. parvum and C. hominis are generally considered a reflection of differences in infection sources and transmission routes [12]. C. hominis is transmitted almost exclusively among humans, whereas C. parvum, especially its IIa subtype family, is more likely transmitted zoonotically. In industrialized nations, C. parvum infections have often been linked to contact with farm animals, and C. hominis infections to contact with children with diarrhea [34]. Both species have been associated with drinking-water outbreaks [33]. The predominance of C. hominis in most developing countries suggests that anthroponotic transmission is more important than zoonotic transmission in cryptosporidiosis epidemiology in developing countries in general [12]. In contrast, the dominance of C. parvum IIa subtype family in Ethiopia in HIV/AIDS patients suggests that unlike in other developing countries, Cryptosporidium infection in Ethiopia is mostly transmitted zoonotically. Previously, it was shown that that small numbers of C. parvum infections seen in humans in developing countries were mostly caused by the anthroponotic subtype family IIc [12]. Results of the risk factor analysis support the role of zoonotic transmission in cryptosporidiosis epidemiology in HIV/AIDS patients in Ethiopia. Even though the present study was performed in an urban area, more than 50% of patients had contact with animals, as households in the study area usually have farm animals living inside the residence. Thus, in this study, animal contact, especially with calves, was a significant risk factor for Cryptosporidium, especially C. parvum and its IIa subtype family. The distribution of C. parvum subtypes in this study reinforces the likely occurrence of zoonotic transmission, as the majority of C. parvum infections were caused by IIa subtypes (71/82 specimens subtyped), especially its IIaA15G2R1 subtype (60/82 specimens subtyped), which is a dominant C. parvum subtype in calves around the world [12]. In contrast, the anthroponotic C. parvum subtype family IIc was seen in only 2/82 of C. parvum infections. In addition to IIa, C. parvum subtype family IId was also identified in five Ethiopian HIV/AIDS patients. Subtype family IId of C. parvum is generally considered a sheep and goat parasite [35], but has been found at high frequency in calves in China, Egypt, and Sweden [36]–[38]. In this study, only one patient infected with IId had contact with sheep in this study. Genotyping and subtyping studies of domestic animals from the study area and additional case-control-studies are needed to support the conclusion on the importance of zoonotic transmission in cryptosporidiosis epidemiology in Ethiopia. In agreement with previous observations elsewhere [19]–[21], data from the study suggest that different Cryptosporidium species and subtypes are linked to different manifestations of cryptosporidiosis. As expected, cryptosporidiosis in our study was significantly associated with the occurrence of diarrhea. This association, however, was largely attributable to C. parvum and C. hominis; other species, including the newly described C. viatorum, were less pathogenic than these two species. Likewise, the significant association between Cryptosporidium infection and the occurrence of vomiting was also largely attributable to C. hominis and some less frequent species (C. meleagridis, C. canis, C. felis and C. xiaoi); C. parvum and C. viatorum were largely not associated with vomiting. Within C. parvum, the IIa subtype family also appeared to be more associated with the occurrence of diarrhea than other C. parvum subtype families. We did not observe any effect of CD4+ cell counts and HAART on the occurrence of cryptosporidiosis in HIV/AIDS patients in this study. This was probably largely the result of severe overall immunodeficiency in the study population, as reflected by the low mean CD4+ cell counts (278 cells/µL) and very high hospitalization rate (32.9%) and occurrence of cryptosporidiosis (26.9%). In conclusion, Ethiopian HIV/AIDS patients with low CD4+ cell counts had an extremely high occurrence of Cryptosporidium infection, even when they were on HAART. Although the majority of cryptosporidiosis cases were caused by C. parvum, there was a high diversity of Cryptosporidium species, with a significant number of cases caused by the newly recognized C. viatorum. These Cryptosporidium spp. and C. parvum subtypes were linked to different clinical manifestations. Therefore, improved hygiene and avoidance of calf contact among this population should be advocated to reduce the occurrence of Cryptosporidium infections, especially those caused by C. parvum IIa subtypes of calves. STROBE checklist. (PDF) Click here for additional data file. Association between CD4+ cell count and infection with Cryptosporidium species or C. parvum and C. hominis subtypes in HIV/AIDS patients in Ethiopia*. (DOCX) Click here for additional data file. Association between HAART history and infection with Cryptosporidium species or C. parvum and C. hominis subtypes in HIV/AIDS patients in Ethiopia*. (DOCX) Click here for additional data file.
  38 in total

1.  Opportunistic and other intestinal parasites among HIV/AIDS patients attending Gambi higher clinic in Bahir Dar city, North West Ethiopia.

Authors:  Abebe Alemu; Yitayal Shiferaw; Gebeyaw Getnet; Aregaw Yalew; Zelalem Addis
Journal:  Asian Pac J Trop Med       Date:  2011-08       Impact factor: 1.226

Review 2.  Treatment of cryptosporidiosis in immunocompromised hosts.

Authors:  E M Zardi; A Picardi; A Afeltra
Journal:  Chemotherapy       Date:  2005-07-06       Impact factor: 2.544

3.  Unique endemicity of cryptosporidiosis in children in Kuwait.

Authors:  Irshad M Sulaiman; Parsotam R Hira; Ling Zhou; Faiza M Al-Ali; Fatima A Al-Shelahi; Hussein M Shweiki; Jamshaid Iqbal; Nabila Khalid; Lihua Xiao
Journal:  J Clin Microbiol       Date:  2005-06       Impact factor: 5.948

4.  Molecular characterization of Cryptosporidium isolates from humans in Ethiopia.

Authors:  Haileeyesus Adamu; Beyene Petros; Asrat Hailu; Franz Petry
Journal:  Acta Trop       Date:  2010-03-04       Impact factor: 3.112

5.  HIV/AIDS-associated opportunistic protozoal diarrhea.

Authors:  Mahmoud Agholi; Gholam Reza Hatam; Mohammad Hossein Motazedian
Journal:  AIDS Res Hum Retroviruses       Date:  2012-09-11       Impact factor: 2.205

6.  The changing pattern of AIDS-defining illnesses with the introduction of highly active antiretroviral therapy (HAART)in a London clinic.

Authors:  N J Ives; B G Gazzard; P J Easterbrook
Journal:  J Infect       Date:  2001-02       Impact factor: 6.072

Review 7.  Waterborne outbreaks of cryptosporidiosis.

Authors:  Rachel M Chalmers
Journal:  Ann Ist Super Sanita       Date:  2012       Impact factor: 1.663

8.  Health sequelae of human cryptosporidiosis in immunocompetent patients.

Authors:  Paul R Hunter; Sara Hughes; Sarah Woodhouse; Nicholas Raj; Qutub Syed; Rachel M Chalmers; Neville Q Verlander; John Goodacre
Journal:  Clin Infect Dis       Date:  2004-08-02       Impact factor: 9.079

9.  Cryptosporidiosis-an overview.

Authors:  Gordon J Leitch; Qing He
Journal:  J Biomed Res       Date:  2012-02-21

10.  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

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  59 in total

1.  Development and Application of a gp60-Based Typing Assay for Cryptosporidium viatorum.

Authors:  C R Stensvold; K Elwin; J Winiecka-Krusnell; R M Chalmers; L Xiao; M Lebbad
Journal:  J Clin Microbiol       Date:  2015-04-01       Impact factor: 5.948

2.  Coinfection with Hymenolepis nana, Hymenolepis diminuta, Giardia intestinalis, and Human Immunodeficiency Virus: A Case Report with Complex Immunologic Interactions.

Authors:  Gladymar Pérez-Chacón; Leonor A Pocaterra; Elsy Rojas; Aurora Hernán; Juan Carlos Jiménez; Luz Núñez
Journal:  Am J Trop Med Hyg       Date:  2017-05-13       Impact factor: 2.345

3.  Prevalence and Determinants of Cryptosporidium Infection in an Underdeveloped Rural Region of Southwestern China.

Authors:  Ya Yang; Yibiao Zhou; Wanting Cheng; Xiang Pan; Penglei Xiao; Yan Shi; Jianchuan Gao; Xiuxia Song; Yue Chen; Qingwu Jiang
Journal:  Am J Trop Med Hyg       Date:  2017-04-06       Impact factor: 2.345

4.  Epidemiology of Cryptosporidium Infections among People Living with HIV/AIDS in Nigeria: Results of Systematic Review and Meta-analysis.

Authors:  Solomon Ngutor Karshima; Magdalene Nguvan Karshima
Journal:  Acta Parasitol       Date:  2020-07-18       Impact factor: 1.440

5.  The first report of Cryptosporidium spp. in Microtus fuscus (Qinghai vole) and Ochotona curzoniae (wild plateau pika) in the Qinghai-Tibetan Plateau area, China.

Authors:  Xueyong Zhang; Yingna Jian; Xiuping Li; Liqing Ma; Gabriele Karanis; Panagiotis Karanis
Journal:  Parasitol Res       Date:  2018-03-12       Impact factor: 2.289

6.  Divergent Cryptosporidium parvum subtype and Enterocytozoon bieneusi genotypes in dromedary camels in Algeria.

Authors:  Djamel Baroudi; Hongwei Zhang; Said Amer; Djamel Khelef; Dawn M Roellig; Yuanfei Wang; Yaoyu Feng; Lihua Xiao
Journal:  Parasitol Res       Date:  2018-01-06       Impact factor: 2.289

7.  Development of a Subtyping Tool for Zoonotic Pathogen Cryptosporidium canis.

Authors:  Wen Jiang; Dawn M Roellig; Yaqiong Guo; Na Li; Yaoyu Feng; Lihua Xiao
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

8.  Environmental Transport of Emerging Human-Pathogenic Cryptosporidium Species and Subtypes through Combined Sewer Overflow and Wastewater.

Authors:  Chengchen Huang; Yue Hu; Lin Wang; Yuanfei Wang; Na Li; Yaqiong Guo; Yaoyu Feng; Lihua Xiao
Journal:  Appl Environ Microbiol       Date:  2017-08-01       Impact factor: 4.792

9.  Cryptosporidium infection among people living with HIV/AIDS in Ethiopia: a systematic review and meta-analysis.

Authors:  Mehdi Mohebali; Yonas Yimam; Ambachew Woreta
Journal:  Pathog Glob Health       Date:  2020-04-03       Impact factor: 2.894

10.  Highly specific detection of Cryptosporidium spp. oocysts in human stool samples by undemanding and inexpensive phase contrast microscopy.

Authors:  Ralf Ignatius; Thomas Klemm; Steffen Zander; Jean Bosco Gahutu; Peter Kimmig; Frank P Mockenhaupt; Thomas Regnath
Journal:  Parasitol Res       Date:  2015-12-08       Impact factor: 2.289

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