Open-access Presence of Cryptosporidium spp and other enteroparasites with pathogenic potential in hemodialysis patients: an open controlled study

Abstract

Introduction:  The World Health Organization (WHO) points out that infection by enteroparasites can affect ~3.5 billion people around the world. Hemodialysis (HD) patients may be more susceptible to infections by opportunistic pathogens due to impaired immune function. We evaluated enteroparasite infection in a sample of HD-patients from two dialysis centers and in a control group.

Methods:  Fecal samples were processed using the Hoffmann-Pons-Janner, Ritchie, Willis, and Rugai techniques. Patients with kidney failure from two dialysis centers undergoing HD for more than 3 months were included. The control group consisted of relatives of the patients without overt CKD. The TaqMan PCR and multiplex real-time PCR were carried out for detection of Cryptosporidium spp. and C. parvum and to differentiate the Entamoeba (E.) histolytica/E. dispar complex, respectively

Results:  A total of 97 HD patients and 42 controls were enrolled in the study. Fifty (51.5%) fecal samples from the HD group were positive for enteroparasites, as were 26 (61.9%) from the control group (P = 0.260). S. stercoralis was the single helminth detected and was only present in HD-patients. Coproscopy detected seven positive samples for the E. histolytica/E. dispar complex, three from HD patients and four from controls: by PCR, all samples were positive for the non-pathogenic E. dispar. Safranin-stained fecal smear slides were all negative for Cryptosporidium spp. However, by PCR, amplification for Crypstosporidium spp. was seen in six samples, all from the HD patients. Two of the species were classified as C. hominis by PCR-RFLP

Conclusions:  Enteroparasite infection as detected by traditional techniques were not more prevalent in HD patients, but S. stercoralis was only found in these patients. It is noteworthy that Cryptosporidium spp. infection, also affecting only HD patients, could only be detected by molecular biology techniques.

Keywords:
Renal Insufficiency, Chronic; Renal Dialysis; Parasites; Cryptosporidium ; Laboratory Diagnosis

Resumo

Introdução:  A OMS aponta que infecções por enteroparasitos podem afetar ~3,5 bilhões de pessoas globalmente. Pacientes em hemodiálise (HD) podem ser mais suscetíveis a infecções por patógenos oportunistas devido à função imunológica prejudicada. Avaliamos a infecção por enteroparasitos em pacientes em HD de dois centros de diálise e um grupo controle

Métodos:  Amostras fecais foram processadas pelas técnicas de Hoffmann, Pons&Janner, Ritchie, Willis e Rugai. Incluímos pacientes com insuficiência renal, de dois centros de diálise, em HD por mais de três meses. O grupo controle consistiu em familiares dos pacientes sem DRC evidente. PCR TaqMan e PCR Multiplex em tempo real foram realizadas para detecção de Cryptosporidium spp. e C. parvum e para diferenciar o complexo Entamoeba (E.) histolytica/E. dispar, respectivamente

Resultados:  97 pacientes em HD e 42 controles foram incluídos no estudo. Cinquenta (51,5%) amostras fecais do grupo HD foram positivas para enteroparasitos, assim como 26 (61,9%) do grupo controle (P = 0,260). S. stercoralis foi o único helminto detectado, presente apenas nos pacientes em HD. A coproscopia detectou sete amostras positivas para o complexo E. histolytica/E. dispar, três de pacientes em HD e quatro controles: através da PCR, todas as amostras foram positivas para E. dispar não patogênica. As lâminas de esfregaço fecal coradas com safranina foram todas negativas para Cryptosporidium spp. Entretanto, através da PCR, observou-se amplificação para Crypstosporidium spp. em seis amostras, todas de pacientes em HD. Duas das espécies foram classificadas como C. hominis por PCR-RFLP

Conclusões:  A infecção por enteroparasitos, detectada por técnicas tradicionais, não foi mais prevalente em pacientes em HD, mas o S. stercoralis foi encontrado exclusivamente entre eles. Vale ressaltar que a infecção por Cryptosporidium spp., que também afetou somente pacientes em HD, pôde ser detectada somente por técnicas de biologia molecular.

Descritores:
Insuficiência Renal Crônica; Diálise Renal; Parasitos; Cryptosporidium ; Diagnóstico Laboratorial

Introduction

It is estimated that chronic kidney disease (CKD) affects over 10% of the general population corresponding to more than 800 million people with some degree of renal dysfunction worldwide1. Studies on the prevalence of individuals on renal replacement therapy in Brazil demonstrate that there were 758 patients per million population (pmp) on dialysis in 20222. Kidney failure patients on hemodialysis (HD) may be more susceptible to infections by opportunistic pathogens due to impaired immune function3.

Estimates from the World Health Organization (WHO) reports point out that infections by intestinal parasites can affect around 3.5 billion people around the world, particularly in developing countries4. Cryptosporidium spp is a zoonotic protozoan from Apicomplexa phylum considered pathogenic and a major cause of diarrheal disease in immunosuppressed individuals. It can be found in the gastrointestinal tract of several hosts and is one of the most prevalent waterborne parasites worldwide5. In immunocompetent individuals, the infection is limited and tend to self-resolve. However, in immunosuppressed ones, it might be life-threatening. In patients with AIDS, cancer, or undergoing HD, for instance, Cryptosporidium spp infections can cause acute diarrhea, which is associated with substantial morbidity and mortality6.

Recent reports indicate that the prevalence rate of the parasite among kidney failure patients is high, especially in developing countries7,8. In Brazil, for instance, several studies have reported protozoan infections among these patients, with parasites such as Blastocystis spp, Endolimax nana, Entamoeba coli, E. histolytica/E. dispar complex, Giardia intestinalis and Strongyloides stercoralis found in their fecal samples9,10. HD patients may present with a wide spectrum of gastrointestinal symptoms for different reasons, making their correlation with enteroparasite infections difficult11,12. In this scenario, an active search for parasitic infections could allow adequate treatment leading to improved quality of life. In the present study, we provide recent data on the prevalence of enteroparasites in HD patients compared with a control group without kidney failure in two counties of the metropolitan region of the city of Rio de Janeiro, Brazil.

Methods

A cross-sectional survey with a convenience sample was carried out from March to November 2019. Patients with kidney failure undergoing HD for more than 3 months from two dialysis centers located in the cities of Niteroi (Center 1) and Itaborai (Center 2), without gender or age restriction, were included. The control group consisted of relatives of the patients without overt CKD who lived in the same residence and were therefore subjected to the same possible risk factors for enteroparasite infection.

The study was approved by the Ethics Committee of the Medical School of Universidade Federal Fluminense, Niteroi, Rio de Janeiro, Brazil, Protocol number 1.147.848. An informed consent was obtained from all individuals enrolled in the study.

All participants completed a standardized clinical and epidemiological questionnaire addressing symptoms related to intestinal parasite infections and social and demographic characteristics. They were instructed to collect fecal samples using universal collectors and received two flasks: one with 10% formalin to collect three samples on alternate days for a maximum period of ten days, and a dry one, for a single fresh sample. The samples were transported in refrigerated boxes to the laboratory of parasitology of the university hospital to undergo coproparasitological studies.

Stool Processing and Examination

Fecal samples were processed through the techniques of Hoffman, Pons and Janner (1934)13, Ritchie (1948)14, Willis (1921)15, and Rugai (1954)16. Duplicate slides of each sample were prepared, and readings were made separately by two operators. The fresh samples were used to perform direct examination and the Rugai technique, and aliquots were cryopreserved in order to carry out molecular tests to detect infections by Cryptosporidium spp through real time PCR. For microscopic detection of Cryptosporidium spp. oocyst, the safranin/methylene blue staining technique was employed17. For coproscopic examination, the sediments were observed under 100, 400, and 1000× magnification using an optical microscope (Nikon Eclipse E 200®).

DNA extraction: Total genomic DNA was extracted from 500 µL of 127 fresh stool samples using the FastDNA™ Spin Kit for Feces (MP Biomedicals, USA) according to the manufacturer’s protocol. Samples were disrupted in an FP120 cell disruptor (MP Biomedicals) at a speed of 5.5 m/s for 10 s. DNA extracts were stored at –20ºC until further processing.

TaqMan PCR Assays

The TaqMan PCR procedure combined a duplex reaction for the detection of Cryptosporidium spp. and C. parvum and a simple reaction for the detection of C. hominis, as described previously18,19. A total of 127 DNA samples were analyzed. The assays were performed with a 7500 Real-Time PCR System (Thermo Fisher Scientific Inc., USA). Each 20-μL duplex reaction contained 10 μL of 2X Platinum Quantitative PCR SuperMix-UDG (Invitrogen, Thermo Fisher Scientific Inc., USA), 100 nM of each probe (JVAP 18S and JVAGP2), 250 nM of each primer (JVAF, JVAR, JVAGF, and JVAGR), and 5 μL of DNA. For the C. hominis assay, each 20-μL reaction contained 10 μL of 2X Platinum Quantitative PCR SuperMix-UDG (Invitrogen, Thermo Fisher Scientific Inc., USA), 250 nM of each primer (JVAF, JVAR, JVAGF, and JVAGR), 5 mM MgCl2, twice the probe concentration used for the duplex assay (200 nM) and 5 μL of DNA. The Taq Man PCR cycling conditions consisted of denaturation at 95ºC for 2 min followed by 45 cycles of denaturation at 94ºC for 10 s, annealing at 55ºC for 30 s, and extension at 72ºC for 20 s. All assays included positive controls (C. hominis and C. parvum) and negative controls (DNA extracted from fecal samples negative for any parasites). To investigate the presence of inhibitory substances, negative samples were contaminated with Cryptosporidium DNA around 10fg and subsequently submitted to TaqMan PCR.

Genotyping Analysis

Six DNA Cryptosporidium spp. positive samples were also determined by nested PCR amplifying an 825-bp fragment of the small-subunit 18S rDNA gene and RFLP analysis of the secondary PCR products, using the restriction enzymes SspI (Thermo Fisher Scientific, Inc. Waltham, Ma, USA) and VspI (Thermo Fisher Scientific). Primers (18S-1F and 18S SSU-R2 – 1325bp; 18SN-2F and 18S SSU-R4X – 819-825 bp) and amplification conditions used for PCR-RFLP were adopted from previous publications20. Cycle conditions were as follows: one cycle of 94ºC for 5 min, 35 cycles of a denaturation step at 94ºC for 30 s, an annealing step at 56ºC for 45 s, and an extension step at 72ºC for 90 s, with a final extension for 10 min at 72ºC.

Enzymatic-digested products obtained from the six samples were analyzed on a 2% agarose gel and visualized by ethidium bromide staining. Samples that contained C. parvum and C. hominis were further subtyped by DNA sequencing of the gp60 gene amplified by a nested PCR following the protocol described by Glaberman et al.21. Each sample was amplified at least three times by PCR. Primers AL3531 and AL3533 (840 bp) were used in the primary PCR and primers AL3532 and LX0029 (440 bp) in the secondary PCR. The gp60 and 18S rRNA products were purified according to the manufacturer’s instructions using a NucleoSpin® Extract II kit (MACHEREY-NAGEL GmbH and Co. KG, Germany). Sequencing was carried out in both directions. The nucleotide sequences obtained in this study were aligned with reference sequences retrieved from GenBank and gp60 sequences. The resulting sequences were edited and aligned with the Bioedit Sequence Alignment Editor 7.0.5.3. and MEGA 4.122.

Multiplex Real-Time PCR for Differentiation of E. hystolitica/E. dispar Complex

Real-time PCR-Multiplex was performed in seven microscopic positive samples according to the protocol of Gomes et al.23. The target sequences were amplified using a pair of oligonucleotide primers specific for each species24: E. dispar - EDP1 (5’ATGGTGAGGTTGTAG CAGA GA 3”) and o EDP2 (5’ CGATATTGACCTAGTACT 3’), generating a product of 96 base pairs (pb). E. histolytica - EHP1 (5’ CGATTTTCCCAGTAGAAATTA 3’) and EHP2 (5’ CAAAATGGTCGTCTAGGC 3’), generating a product of 132 pb. This reaction has a total volume of 25 μL and contains 0.5 μL of a 5 μM solution of each primer (EHP1, EHP2, EDP1 e EDP2), 1.25 pmoles of RoxReferenceDye (Invitrogen, Thermo Fisher Scientific Inc. USA), 8 µL of deionized water, 12.5 µL of Platinum SYBR Green qPCRSuperMix-UDG (Invitrogen, Thermo Fisher Scientific Inc. USA), and 2 µL of the purified DNA solution. The amplification reaction was performed using the ABI 7500 System thermocycler (Applied Biosystems, Thermo Fisher Scientific Inc. USA) and under the following conditions: an initial step at 50°C for two minutes, one step at 95°C for 2 minutes; 35 cycles composed of the stages of 15 seconds at 95°C and 33 seconds at 55°C; and a final stage corresponding to the dissociation curve, consisting of 15 seconds at 95°C, followed by 1 minute at 60°C, 15 seconds at 95°C, and 15 seconds at 60°C. The visualization of the amplification was obtained in the program ABI 7500 System Software (Thermo Fisher Scientific Inc. USA). The analysis was carried out in seven microscopic positive samples.

Statistical Analysis

Data analysis was performed using the software GraphPad Prism version 8.0 for Windows (www.graphpad.com). The Mann-Whitney test was employed to compare independent groups and differences among three or more groups were analyzed through Friedman ANOVA complemented by the Tukey test. Categorical variables were expressed as prevalence rates with differences tested using the chi-squared test. Statistical significance was set at P values < 0.05.

Results

A total of 139 participants were enrolled in the study, 97 with kidney failure on HD and 42 controls. The mean age of HD patients was 57 ± 12 years and of the controls, 50±16 years (P = 0.01). In Center 1, 42 patients were included with a mean age of 59 years, the majority being female (52%). The 55 patients in center 2 tended to be younger, with a mean age of 55 years (P = 0.08) and the majority was male (62%). Data regarding social and demographic characteristics of all participants were described in a previous report10.

Traditional Coproparasitological Studies

Fifty out of 97 (51.5%) fecal samples from 97 HD patients and 26 samples (61.9%) from 42 controls were positive for enteroparasites (P = 0.260). As shown in Table 1, the total prevalence of infection by enteroparasites was 54.7%, and protozoan species were more frequently found than helminths. The protozoan Blastocystis spp. was the most prevalent parasite, being detected in 42.5% of the samples, followed by E. nana (17.9%). In addition, Entamoeba histolytica/E. dispar (5.1%), S. stercoralis larvae (2.2%), and E. coli cysts (0.7%) were also observed. The parasitic infection profile was similar between the study groups with the exception of S. stercoralis, which was only found in 3 HD patients. Also, the prevalence of enteroparasites was similar between centers, both in the group of patients and in the control group (p > 0.05).

Table 1
Intestinal parasites detected by coproscopy in samples from hemodialysis (HD) patients and controls

Infection by a single parasitic species (monoparasitism) was more often found than mixed infections (polyparasitism) in both groups with statistical significance in HD patients (74 vs. 26%, P = 0.01), but not in controls (76.9 vs. 23.1%, P = 0.06). Seven samples were positive for the E. histolytica/E. dispar complex (three from HD patients and four from controls). A total of 139 sediments were obtained through the Ritchie technique and used for preparing 278 slides stained with safranin-methylene blue in order to carry out screening for Cryptosporidium spp oocysts. All samples analyzed were negative for parasite oocysts by microscopy.

Molecular Analysis Findings

Multiplex real-time PCR confirmed the coproscopy results for Entamoeba, detecting three positive samples from HD patients and four from controls in the same cases, with all samples amplifying for the non-pathogenic E. dispar.

Real time PCR detected the presence of Cryptosporidium spp. in 6 samples, all from HD patients. By this diagnostic method, despite the detection of the genus, it was not possible to differentiate the species of this parasite using probes to detect C. hominis and C. parvum. Samples considered positive for Cryptosporidium spp. through real time PCR were submitted to the nested PCR 18S rDNA. Observation by ultraviolet light revealed that two samples showed DNA amplification (Figure 1). Then, RFLP was performed and the interpretation of the agarose gel under ultraviolet light revealed the presence of samples classified as C. hominis. The two samples of C. hominis were subtyped with the nested PCR gp60 gen and subtype IbA10G2 was determined (Figure 2). Positive diagnosis for Cryptosporidium spp. was not associated with symptoms in 5 patients (83.3%); one patient reported constipation.

Figure 1
Amplification of a fragment of the 18S rRNA region from stool samples from participants with Cryptosporidium spp. infection by nested-PCR. Notes – Columns: 1. Molecular weight standard (Invitrogen, Thermofisher Scientific), 2. Sample P1, 3. Sample P19, 4. Sample P30, 5. Sample P32, 6. Sample P33, 7. Sample P39, 8. Blank, 9. Negative Control, 10. Positive Control C. hominis, 11. Positive Control C. parvum. Samples were observed in 2% agarose gel stained with ethidium bromide.
Figure 2
Digestion profile of the 18S rDNA fragment by the restriction enzymes VspI and SspI from the participants’ stool samples. Notes – Columns: 1. Sample P1, 2. Sample P19, 3. Sample P30, 4. Sample P32, 5. Sample P33, 6. Sample P39, 7. Blank, 8. Negative Control, 9. Positive Control C. parvum, 10. Positive Control C. hominis, 11. Molecular weight standard (Invitrogen, Thermofisher Scient.), 12. Sample P1, 13. Sample P19, 14. Sample P30, 15. Sample P32, 16. Sample P33, 17. Sample P39, 18. Negative Control, 19. Positive Control C. parvum, 20. Positive Control C. hominis. Samples were observed in 2% agarose gel stained with ethidium bromide.

Discussion

Studies evaluating parasitism in HD patients show relevant rates of infection by enteroparasites, mainly caused by protozoa12, and most studies compared results of HD patients with those of subjects seen in outpatient clinics. A differential aspect of the present study is that the control group consisted of family members of the patients who lived in the same household and shared the same socio-environmental factors. This allowed a more reliable assessment of whether HD patients are more likely to acquire a parasitic infection or not.

As far as traditional coproscopic techniques are concerned, no significant differences were found regarding the prevalence of enteroparasitism between HD patients and controls in this study in both centers. The topic is controversial, with some authors reporting a higher prevalence of enteroparasitism in HD patients9, while others do not25,26. Strongyloides stercoralis was the only helminth detected in our study, and it is worth mentioning that its presence was restricted to samples from HD patients. Three patients had the parasite, and the diagnosis was promptly reported to the health care team. The frequently asymptomatic or nonspecific nature of active Strongyloides infection leads to underdiagnosis and puts immunosuppressed patients at increased risk of developing hyperinfection with dismal outcome27. There are some studies that report hyperinfection by S. stercoralis as a consequence of the use of immunosuppressive drugs in kidney transplantation26,27. Interestingly, among the previously cited studies, S. stercoralis has been described only in Brazilian studies and among individuals on HD, however, studies performed in Bolivia were also able to demonstrate that the parasite was prevalent among patients undergoing HD evaluated by serological and coproparasitological tests28.

Monoparasitism was more common than polyparasitism among individuals on dialysis patients (74%) and controls (76.9%). These results are in line with those reported by other authors25,26. The difference, however, (mono vs. polyparasitism) was significant only in the HD group (P = 0.01), while in the controls, a trend was observed (P=0.06), perhaps due to the smaller number of participants in this group.

Most of the patients seen at the clinics came from the public health system and had a low socioeconomic status. It is known that education is an important factor in preventing enteroparasitism. Access to treated water is also an important factor since horizontal contagion is often due to water contaminated with parasites, especially protozoa29.

Infections caused by protozoa were more frequent than those caused by helminths in both study groups, with a great diversity of protozoan organisms. The prevalence rate of infection in HD patients was similar to another Brazilian study9, but higher than that found in other studies carried out in Brazil12 and in other nations25,26.

The diagnosis of the Entamoeba histolytica/E. dispar complex by coproscopy was positive in 7 samples, 3 from patients and 4 from controls. Real time PCR confirmed these findings, showing similar sensitivity to direct parasite identification in our system. Although the detection of amoebic infections is equivalent compared to coproscopy, the molecular technique has the advantage to differentiate the species. It was observed that the samples considered to be Entamoeba histolytica/E. dispar by coproscopy were actually E. dispar by real time PCR. This differentiation is important, as the amoeba detected is considered non-pathogenic and rarely affects the health of the host, while E. histolytica can cause amebiasis with unpredictable course, which may include severe gastrointestinal symptoms and bloody dysentery30.

Fotedar et al.31 investigated the prevalence of amoeba cysts in symptomatic patients through microscopy and molecular diagnosis. Coproscopy revealed amoebic complexes in 2.9% of the samples and the molecular diagnosis revealed that the species E. dispar and E. moshkovskii were the most commonly found. In fact, current data indicates that infections caused by E. dispar are more common than those caused by E. histolytica in the world31-33. In this regard, Calegar et al.34 reported a prevalence of amoeba infection of 10.3%, and species differentiation through PCR was effective in 21 of the 23 samples tested, showing that the non-pathogenic E. dispar prevailed (57.1%). The differentiation of amoeba species is relevant, since a significant number of patients may be treated with antiparasitic drugs such as metronidazole without being infected with Entamoeba histolytica but rather with E. dispar, which is believed to be non-pathogenic34.

Laboratory diagnosis of cryptosporidiosis in stool samples can be made through microscopic examination of the stained slides, immunochromatography, ELISA, and molecular methods. Our results corroborate those of Abdel-Gawad et al.35 (2018), in which they compared the effectiveness of three different diagnostic methods (PCR, ELISA, and coproscopy) and considered PCR as the gold standard, with a 100% sensitivity and specificity. Ghallab et al. (2022) also expressed the opinion that the PCR should replace other detection methods in the near future, becoming the gold standard for the detection of Cryptosporidium spp36.

In the present study, 6 samples were positive for Crypstosporidium spp., all from HD patients, with 2 being classified as C. hominis by PCR-RFLP. The remaining 4 samples showing amplification for the specific genus probe may be compatible with species other than C. hominis and C. parvum. The non-detection of the related species may be linked to the fact that they are species of lower infectious power and the parasitic load is small, confirmed by the lack of signs and symptoms. The parasitic load was probably low, since only real time PCR was able to detect the presence of Criptosporidium spp genetic material. The two samples were characterized for species and subtype C. hominis IbA10G2. This subtype is described in the literature as cosmopolitan, more virulent, and with the genotype most likely to undergo recombination37. This subtype predominates in northern Europe and has been reported in outbreaks in the United Kingdom, generally associated with recreational waters38. However, the IbA10G2 subtype is cosmopolitan. In addition to Europe, it was found in approximately 50% of outbreaks associated with C. hominis in the USA, and in a study conducted in Peru, it was considered the most virulent subtype5. In Brazil, only one study has investigated the presence of IbA10G2 subtype and found positivity in patients from the same region as in the present study19. The determination of the subtypes helps us to better understand how the parasite behaves within the host, which is important to the development of new strategies for the prevention and treatment against cryptosporidiosis39.

In our view, the inclusion of molecular diagnostics in the laboratory routine is an attractive alternative to microscopic diagnostics, efficiently saving laboratory time. In addition, the technique does not require preservative fluids, such as formalin, which may be carcinogenic. It is a technique with very good sensitivity and specificity, which prevents false-negative results and allows differentiation of parasites described on the reports as “complex”, for instance, E. histolytica / E. dispar40.

The study has limitations. The sample is relatively small and the control group, which depended on voluntary participation, was smaller than expected. The decision to include controls of the same household as HD patients and the use of advanced molecular biology techniques are the study’s strengths.

Our results indicate that HD patients did not have higher prevalence rates of enteroparasite infection. Protozoan species were frequently found in the coproparasitological tests from participants from both centers and in patients and controls, perhaps reinforcing the need for diagnosis and treatment of asymptomatic patients. Noteworthy, the detection of S. stercoralis and Cryptosporidium spp was restricted to HD patients. Our data highlight the need for implementation of unconventional diagnostic techniques that can act as a differential factor in the detection of enteroparasites, especially in specific groups, such as HD patients.

Acknowledgments

We are grateful for all support provided by the medical team of the dialysis centers (DERT, Depuração Extra-Renal Ltda. and CTRI, Centro de Terapia Renal de Itaboraí). This work was supported by PROEX (Pró-reitoria de Extensão, Universidade Federal Fluminense, UFF) and FOPESQ (Fomento a Pesquisa/PROPPI, UFF) and partially supported by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Master’s scholarship).

References

  • 1. Kovesdy CP. Epidemiology of chronic kidney disease: an update 2022. Kidney Int Suppl. 2022;12(1):7–11. doi: http://doi.org/10.1016/j.kisu.2021.11.003. PubMed PMID: 35529086.
    » https://doi.org/10.1016/j.kisu.2021.11.003
  • 2. Nerbass FB, Lima HDN, Moura-Neto JA, Lugon JR, Sesso R. Brazilian Dialysis Survey 2022. J Bras Nefrol. 2024;46(2):e20230062. PubMed PMID: 38078834.
  • 3. Syed-Ahmed M, Narayanan M. Immune dysfunction and risk of infection in chronic kidney disease. Adv Chronic Kidney Dis. 2019;26(1):8–15. doi: http://doi.org/10.1053/j.ackd.2019.01.004. PubMed PMID: 30876622.
    » https://doi.org/10.1053/j.ackd.2019.01.004
  • 4. Hajare ST, Gobena RK, Chauhan NM, Eriso F. Prevalence of intestinal parasite infections and their associated factors among food handlers working in selected catering establishments from Bule Hora, Ethiopia. BioMed Res Int. 2021;2021:6669742. doi: http://doi.org/10.1155/2021/6669742. PubMed PMID: 34458370.
    » https://doi.org/10.1155/2021/6669742
  • 5. Cunha FS, Peralta JM, Peralta RHS. New insights into the detection and molecular characterization of Cryptosporidium with emphasis in Brazilian studies: a review. Rev Inst Med Trop São Paulo. 2019;61:e28. doi: http://doi.org/10.1590/s1678-9946201961028. PubMed PMID: 31241657.
    » https://doi.org/10.1590/s1678-9946201961028
  • 6. Cunha FS, Jann HW, Lugon JR, Peralta JM, Peralta RHS. Molecular Characterization of Cryptosporidium spp obtained from fecal samples of immunosuppressed patients from Brazil. Rev Soc Bras Med Trop. 2022;55:e0555. doi: http://doi.org/10.1590/0037-8682-0555-2021. PubMed PMID: 35416875.
    » https://doi.org/10.1590/0037-8682-0555-2021
  • 7. Chieffi PP, Sens YA, Paschoalotti MA, Miorin LA, Silva HG, Jabur P. Infection by Cryptosporidium parvum in renal patients submitted to renal transplant or hemodialysis. Rev Soc Bras Med Trop. 1998;31(4):333–7. doi: http://doi.org/10.1590/S0037-86821998000400001. PubMed PMID: 9662959.
    » https://doi.org/10.1590/S0037-86821998000400001
  • 8. El-Kady AM, Fahmi Y, Tolba M, Hashim AA, Hassan AA. Cryptosporidium infection in chronic kidney disease patients undergoing hemodialysis in Egypt. J Parasit Dis. 2018;42(4):630–5. doi: http://doi.org/10.1007/s12639-018-1046-3. PubMed PMID: 30538364.
    » https://doi.org/10.1007/s12639-018-1046-3
  • 9. Gil FF, Barros MJ, Macedo NA, Júnior CGE, Redoan R, Busatti H, et al. Prevalence of intestinal parasitism and associated symptomatology among hemodialysis patients. Rev Inst Med Trop São Paulo. 2013;55(2):69–74. doi: http://doi.org/10.1590/S0036-46652013000200001. PubMed PMID: 23563757.
    » https://doi.org/10.1590/S0036-46652013000200001
  • 10. Gama NA, Adami YL, Lugon JR. Assessment of Blastocystis spp. Infection in hemodialysis patients in two centers of the metropolitan area of Rio de Janeiro. J Kidney Treat Diagn. 2018;1(2):49–52.
  • 11. Anding K, Gross P, Rost JM, Allgaier D, Jacobs E. The influence of uraemia and haemodialysis on neutrophil phagocytosis and antimicrobial killing. Nephrol Dial Transplant. 2003;18(10):2067–73. doi: http://doi.org/10.1093/ndt/gfg330. PubMed PMID: 13679482.
    » https://doi.org/10.1093/ndt/gfg330
  • 12. Kulik RA, Falavigna DLM, Nishi L, Araújo SM. Blastocystis sp. and other intestinal parasites in hemodialysis patients. Braz J Infect Dis. 2008;12(4):338–41. doi: http://doi.org/10.1590/S1413-86702008000400017. PubMed PMID: 19030738.
    » https://doi.org/10.1590/S1413-86702008000400017
  • 13. Hoffman WA, Pons JA, Janer JL. Sedimentation concentration method in Schistosomiasis mansoni. PR J Public Health Trop Med. 1934;9:283–98.
  • 14. Ritchie LS. An ether sedimentation technique for routine stool examinations. Bull US Army Med Dep. 1948;8(4):326. PubMed PMID: 18911509.
  • 15. Willis HH. A simple levitation method for the detection of Hookworm ova. Med J Aust. 1921;2(18):375–6. doi: http://doi.org/10.5694/j.1326-5377.1921.tb60654.x.
    » https://doi.org/10.5694/j.1326-5377.1921.tb60654.x
  • 16. Rugai E, Mattos T, Brisola AP. A new technic for the isolation of nematode larvae from feces; modification of Baermann’s method. Rev Inst Adolfo Lutz. 1954;14(1):5–8. doi: http://doi.org/10.53393/rial.1954.14.33246. PubMed PMID: 14372416.
    » https://doi.org/10.53393/rial.1954.14.33246
  • 17. Brasil. Ministério da Saúde. Manual de Diagnóstico dos agentes oportunistas: Parasitos Intestinais e Pneumocystis jirovecii. Brasília, DF: Ministério da Saúde; 2012. Série A: Normas e Manuais Técnicos.
  • 18. Jothikumar N, Da Silva AJ, Moura I, Qvarnstrom Y, Hill VR. Detection and differentiation of Cryptosporidium hominis and Cryptosporidium parvum by dual TaqMan assays. J Med Microbiol. 2008;57(Pt 9):1099–105. doi: http://doi.org/10.1099/jmm.0.2008/001461-0. PubMed PMID: 18719179.
    » https://doi.org/10.1099/jmm.0.2008/001461-0
  • 19. Peralta RH, Velásquez JN, Cunha FS, Pantano ML, Sodré FC, Silva S, et al. Genetic diversity of Cryptosporidium identified in clinical samples from cities in Brazil and Argentina. Mem Inst Oswaldo Cruz. 2016;111(1):30–6. doi: http://doi.org/10.1590/0074-02760150303. PubMed PMID: 26814641.
    » https://doi.org/10.1590/0074-02760150303
  • 20. Xiao L, Ryan UM. Cryptosporidiosis: an update in molecular epidemiology. Curr Opin Infect Dis. 2004;17(5):483–90. doi: http://doi.org/10.1097/00001432-200410000-00014. PubMed PMID: 15353969.
    » https://doi.org/10.1097/00001432-200410000-00014
  • 21. Glaberman S, Moore JE, Lowery CJ, Chalmers RM, Sulaiman I, Elwin K, et al. Three drinking-water-associated cryptosporidiosis outbreaks, Northern Ireland. Emerg Infect Dis. 2002;8(6):631–3. doi: http://doi.org/10.3201/eid0806.010368. PubMed PMID: 12023922.
    » https://doi.org/10.3201/eid0806.010368
  • 22. Tamura K, Dudley J, Nei M, Kumar S. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol. 2007;24(8):1596–9. doi: http://doi.org/10.1093/molbev/msm092. PubMed PMID: 17488738.
    » https://doi.org/10.1093/molbev/msm092
  • 23. Gomes TS, Garcia MC, Cunha FS, Macedo HW, Peralta JM, Peralta RHS. Differential diagnosis of entamoeba spp. in clinical stool samples using SYBR green real-time polymerase chain reaction. ScientificWorldJournal. 2014;2014:645084. doi: http://doi.org/10.1155/2014/645084. PubMed PMID: 24693242.
    » https://doi.org/10.1155/2014/645084
  • 24. Núñez YO, Fernández MA, Torres-Núñez D, Silva JA, Montano I, Maestre JL, et al. Multiplex polymerase chain reaction amplification and differentiation of Entamoeba histolytica and Entamoeba dispar DNA from stool samples. Am J Trop Med Hyg. 2001;64(5–6):293–7. doi: http://doi.org/10.4269/ajtmh.2001.64.293. PubMed PMID: 11463120.
    » https://doi.org/10.4269/ajtmh.2001.64.293
  • 25. Karadag G, Tamer GS, Dervisoglu E. Investigation of intestinal parasites in dialysis patients. Saudi Med J. 2013;34(7):714–8. PubMed PMID: 23860891.
  • 26. Azami M, Sharifi M, Hejazi SH, Tazhibi M. Intestinal parasitic infections in renal transplant recipients. Braz J Infect Dis. 2010;14(1):15–8. doi: http://doi.org/10.1016/S1413-8670(10)70004-0. PubMed PMID: 20428648.
    » https://doi.org/10.1016/S1413-8670(10)70004-0
  • 27. Winnicki W, Eder M, Mazal P, Mayer FJ, Sengölge G, Wagner L. Prevalence of Strongyloides stercoralis infection and hyperinfection syndrome among renal allograft recipients in Central Europe. Sci Rep. 2018;8(1):15406. doi: http://doi.org/10.1038/s41598-018-33775-3. PubMed PMID: 30337607.
    » https://doi.org/10.1038/s41598-018-33775-3
  • 28. Tebib N, Tebib N, Paredes M, Castro R, Baggio S, Torrico MV, et al. Prevalence and risk factors of Strongyloides stercoralis in haemodialysis in Cochabamba, Bolivia: a cross-sectional study. BMC Nephrol. 2023;24(1):27. doi: http://doi.org/10.1186/s12882-023-03074-9. PubMed PMID: 36750775.
    » https://doi.org/10.1186/s12882-023-03074-9
  • 29. Campos VC, Rezende RA, Queiroz SCB, Portelinha TCG, Labre CVS. “Giardia and Cryptosporidium” removal technologies in water supply systems: a systematic literature review. Braz J Develop. 2022;8(6):45216–26. doi: http://doi.org/10.34117/bjdv8n6-174.
    » https://doi.org/10.34117/bjdv8n6-174
  • 30. Kantor M, Abrantes A, Estevez A, Schiller A, Torrent J, Gascon J, et al. Entamoeba Histolytica: updates in clinical manifestation, pathogenesis, and vaccine development. Can J Gastroenterol Hepatol. 2018;2018:4601420. doi: http://doi.org/10.1155/2018/4601420. PubMed PMID: 30631758.
    » https://doi.org/10.1155/2018/4601420
  • 31. Fotedar R, Stark D, Beebe N, Marriott D, Ellis J, Harkness J. Laboratory diagnostic techniques for Entamoeba species. Clin Microbiol Rev. 2007;20(3):511–32. doi: http://doi.org/10.1128/CMR.00004-07. PubMed PMID: 17630338.
    » https://doi.org/10.1128/CMR.00004-07
  • 32. Silva MT, Santana JV, Bragagnoli G, Marinho AM, Malagueño E. Prevalence of Entamoeba histolytica/Entamoeba dispar in the city of Campina Grande, in northeastern Brazil. Rev Inst Med Trop São Paulo. 2014;56(5):451–4. doi: http://doi.org/10.1590/S0036-46652014000500015. PubMed PMID: 25229229.
    » https://doi.org/10.1590/S0036-46652014000500015
  • 33. Costa JO, Resende JA, Gil FF, Santos JFG, Gomes MA. Prevalence of Entamoeba histolytica and other enteral parasitic diseases in the metropolitan region of Belo Horizonte, Brazil. A cross-sectional study. Sao Paulo Med J. 2018;136(4):319–23. doi: http://doi.org/10.1590/1516-3180.2018.0036170418. PubMed PMID: 30110074.
    » https://doi.org/10.1590/1516-3180.2018.0036170418
  • 34. Calegar DA, Nunes BC, Monteiro KJ, Santos JP, Toma HK, Gomes TF, et al. Frequency and molecular characterization of Entamoeba histolytica, Entamoeba dispar, Entamoeba moshkovskii, and Entamoeba hartmanni in the context of water scarcity in northeastern Brazil. Mem Inst Oswaldo Cruz. 2016;111(2):114–9. doi: http://doi.org/10.1590/0074-02760150383. PubMed PMID: 26841049.
    » https://doi.org/10.1590/0074-02760150383
  • 35. Abdel-Gawad SS, Ismail MAM, Imam NFA, Eassa AHA, Abu-Sarea EY. Detection of Cryptosporidium spp. in diarrheic immunocompetent patients in Beni-Suef, Egypt: insight into epidemiology and diagnosis. Korean J Parasitol. 2018;56(2):113–9. doi: http://doi.org/10.3347/kjp.2018.56.2.113. PubMed PMID: 29742865.
    » https://doi.org/10.3347/kjp.2018.56.2.113
  • 36. Ghallab MMI, Mousa AMI, Tamer H, Salwa MM. Cryptosporidiosis: molecular analysis, risk factors and seasonal abundance in immunocompetent and immunocompromised patients, Kafrelsheikh university hospitals. J Egypt Soc Parasitol. 2022;52(1):117–22. doi: http://doi.org/10.21608/jesp.2022.235822.
    » https://doi.org/10.21608/jesp.2022.235822
  • 37. Sikora P, Andersson S, Winiecka-Krusnell J, Hallström B, Alsmark C, Troell K, et al. Genomic variation in IbA10G2 and other patient-derived Cryptosporidium hominis subtypes. J Clin Microbiol. 2017;55(3):844–58. doi: http://doi.org/10.1128/JCM.01798-16. PubMed PMID: 28003424.
    » https://doi.org/10.1128/JCM.01798-16
  • 38. Chalmers RM, Smith R, Elwin K, Clifton-Hadley FA, Giles M, Chalmers RM, et al. Epidemiology of anthroponotic and zoonotic human cryptosporidiosis in England and Wales, 2004-2006. Epidemiol Infect. 2011;139(5):700–12. doi: http://doi.org/10.1017/S0950268810001688. PubMed PMID: 20619076.
    » https://doi.org/10.1017/S0950268810001688
  • 39. Morris A, Robinson G, Swain MT, Chalmers RM. Direct Sequencing of Cryptosporidium in stool samples for public health. Front Public Health. 2019;7:360. doi: http://doi.org/10.3389/fpubh.2019.00360. PubMed PMID: 31921734.
    » https://doi.org/10.3389/fpubh.2019.00360
  • 40. Calle-Pacheco GL, Jiménez-Chunga JA, Vivas-Ruiz DE. Molecular diagnosis of amoebiasis. Bol Méd Hosp Infant México. 2022;79(1):3–16. doi: http://doi.org/10.24875/BMHIM.21000044. PubMed PMID: 35086128.
    » https://doi.org/10.24875/BMHIM.21000044

Publication Dates

  • Publication in this collection
    20 Dec 2024
  • Date of issue
    Jan-Mar 2025

History

  • Received
    01 Mar 2024
  • Accepted
    19 July 2024
location_on
Sociedade Brasileira de Nefrologia Rua Machado Bittencourt, 205 - 5ºandar - conj. 53 - Vila Clementino - CEP:04044-000 - São Paulo SP, Telefones: (11) 5579-1242/5579-6937, Fax (11) 5573-6000 - São Paulo - SP - Brazil
E-mail: bjnephrology@gmail.com
rss_feed Acompanhe os números deste periódico no seu leitor de RSS
Ir para o topo Reportar erro