Skip to main content

Genetic characterizations of Cryptosporidium spp. from children with or without diarrhea in Wenzhou, China: high probability of zoonotic transmission

Abstract

Background

Cryptosporidium is a highly pathogenic parasite responsible for diarrhea in children worldwide. Here, the epidemiological status and genetic characteristics of Cryptosporidium in children with or without diarrhea were investigated with tracking of potential sources in Wenzhou City, China.

Methods

A total of 1032 children were recruited, 684 of whom had diarrhea and 348 without, from Yuying Children’s Hospital in Wenzhou, China. Samples of stool were collected from each participant, followed by extraction of DNA, genotyping, and molecular identification of Cryptosporidium species and subtypes.

Results

Twenty-two of the 1032 (2.1%) children were infected with Cryptosporidium spp. with 2.5% (17/684) and 1.4% (5/348) in diarrhoeic and asymptomatic children, respectively. Four Cryptosporidium species were identified, including C. parvum (68.2%; 15/22), C. felis (13.6%; 3/22), C. viatorum (9.1%; 2/22), and C. baileyi (9.1%; 2/22). Two C. parvum subtypes named IIdA19G1 (n = 14) and IInA10 (n = 1), and one each of C. felis (XIXa) and C. viatorum (XVaA3g) subtype was found as well.

Conclusions

This is the first research that identified Cryptosporidium in children of Wenzhou, China, using PCR. Identification of zoonotic C. parvum, C. felis, C. viatorum, and their subtypes indicate potential cross-species transmission of Cryptosporidium between children and animals. Additionally, the presence of C. baileyi in children suggests that this species has a wider host range than previously believed and that it possesses the capacity to infect humans.

Peer Review reports

Background

Cryptosporidium is a class of protozoan parasite with the ability to infect epithelial cells of the gastrointestinal tract of vertebrate species [1]. Cryptosporidiosis is often a self-limiting infection in individuals with a fully functioning immune system, but it can lead to severe diarrhea and potentially cause death in individuals with Acquired Immunodeficiency Syndrome (AIDS), infants, and other immunocompromised or deficient individuals [2]. Cryptosporidiosis is a significant contributor to mortality associated with moderate to severe diarrhea in children residing in low- and middle-income countries and represents an important but often underestimated public health threat in developed countries [3].

Cryptosporidium can infect a diverse range of animal species and is distributed globally. The zoonotic transmission of diseases from animals to humans is seen as a significant concern for public health [4]. The infectious stage of Cryptosporidium, known as the oocyst, favors direct transmission since it becomes infectious as soon as it is excreted with the host’s feces [5]. Oocysts can endure the surrounding environment and resist conventional water treatment methods. They may be transferred to people either by interacting directly with animals or their waste products, or by consuming water and food that have been contaminated with oocysts [6]. The examination of sporadic instances and epidemics of cryptosporidiosis has improved the present knowledge of the risk factors and sources of infection.

In recent decades, there have been notable advancements in molecular typing techniques, which have played a crucial role in enhancing the current knowledge of epidemiology regarding cryptosporidiosis across various seasonal, geographical, and socioeconomic contexts [7]. Currently, the most commonly used method for identification of the species is by the small subunit ribosomal RNA (SSU rRNA) sequence with both highly variable and conserved sequences [7]. At present, there have been a total of 48 accepted species and more than 120 genotypes of Cryptosporidium. Of these, 21 species and two genotypes have been linked to human infection; C. hominis and C. parvum represent around 95% of human infection cases [5]. Although humans are the main hosts of C. hominis, this parasite is also reported in domestic and wild animals, including sheep, goats, and cattle [5, 8]. C. parvum mainly infects artiodactyls and humans, but it is also frequently reported in various rodents and wild animals [5]. A number of subtyping instruments based on the glycoprotein 60-kDa (gp60) gene were developed to identify the human source of Cryptosporidium infection precisely [9,10,11]. The proposed and widely adopted gp60 nomenclature system has greatly facilitated the analysis of global epidemiology, as the variability in the sequence of this marker has been instrumental in inferring transmission routes [12]. However, there is still uncertainty regarding the epidemiology of Cryptosporidium and its spread in humans, particularly in underdeveloped regions of the world, requiring further research.

A cumulative count of approximately 6,000 human cases of cryptosporidiosis has been documented in 27 provinces of China [13], yet data involving molecular studies remains limited. Out of the total of 68 studies that were undertaken, only 10 focused on the molecular analysis of Cryptosporidium species [13,14,15,16]. Even though fewer than 300 cases were genetically characterised, a total of nine distinct species of Cryptosporidium were detected, including C. andersoni, C. felis, C. parvum, C. hominis, C. viatorum, C. meleagridis, C. canis, C. occultus, and C. suis [13,14,15,16]. The isolates were subjected to further classification into subtypes by the utilization of sequence analysis of the gp60 gene, including fifteen C. hominis subtypes, three C. parvum subtypes, four C. meleagridis subtypes, and one C. viatorum subtype [13,14,15,16]. However, molecular data from many regions, such as Wenzhou, remain unavailable. This study is the first baseline epidemiological study of human Cryptosporidium in Wenzhou, focusing on exploring the characteristics of Cryptosporidium in children with or without diarrhea.

Results

Prevalence of Cryptosporidium

According to the analysis of the SSU rRNA gene, Cryptosporidium was identified in 2.1% (22/1032, 95% CI: 1.4–3.2%) of the samples, with 17/684 (2.5%, 95% CI: 1.6-4.0%) in the patients with diarrhea and 5/348 (1.4%, 95% CI: 0.6–3.3%) in the asymptomatic population (Table 1). The prevalence of Cryptosporidium in individuals experiencing diarrhea was found to be greater in comparison to the prevalence seen in the asymptomatic group, but there was no statistical difference (χ2 = 1.216; p = 0.363). In the group of children suffering from diarrhea, the prevalence was found to be 2.9% (11/376, 95% CI: 1.6–5.1%) among boys and 1.9% (6/308, 95% CI: 0.9–4.2%) among girls. Moreover, in the asymptomatic group, the prevalence of Cryptosporidium was 2.1% (4/195, 95% CI: 0.8–5.2%) and 0.7% (1/153, 95% CI: 0.1–3.6%) for boys and girls, respectively. Statistical analysis revealed no significant difference in the prevalence rate of Cryptosporidium was observed through paired comparisons between boys and girls (χ2 = 0.667; p = 0.414 for diarrhea group and p = 0.390 for asymptomatic group).

Table 1 Prevalence and species distribution of Cryptosporidium among children from Wenzhou of China by counties clinical symptoms and gender

Genetic characterization based on the SSU rRNA gene

The present work involved the investigation of 22 Cryptosporidium isolates, whereby the sequencing analysis revealed the presence of four distinct Cryptosporidium species, including C. viatorum, C. parvum, C. felis, and C. baileyi (Table 1). Among the examined specimens, it was seen that C. parvum exhibited the highest prevalence rate, accounting for 21.3% (15/22). This was followed by C. felis, which had a prevalence rate of 10.6% (3/22). Additionally, C. viatorum and C. baileyi were found to have equal prevalence rates of 2.1% (1/47) each. C. parvum and C. viatorum were detected among both the diarrhea patients and the asymptomatic population, while C. felis was only found in diarrhea patients, and C. baileyi was observed only in the asymptomatic individuals (Table 1).

Fifteen isolates of C. parvum were represented by seven sequences (OR815985 to OR815991). These sequences exhibited a high level of similarity, ranging from 99.41 to 100% when compared to the published C. parvum sequence (L16996). Among the seven sequences obtained, a total of seven polymorphic sites were also identified (Table 2). Two out of the three C. felis sequences (OR815984) acquired in this study exhibited complete similarity to a sequence (MN394123) identified in cat specimens from Turkey. The remaining sequence (OR815983) showed a 99.08% similarity to MN394123, differing by only three bases. The two C. viatorum isolates obtained in this study shared a same sequence (OR815982) which exhibited identical sequences to the human-derived sequence MW014315 from China. Neither sequences of C. baileyi (OR815992 and OR815993) obtained here had been described, but they exhibited only minor differences, with a single base difference at 240 and 359 sites compared with MH028033, respectively.

Table 2 Variation at seven polymorphic sites within SSU rRNA gene sequences of human-derived Cryptosporidium parvum isolates obtained in the present study

Subtyping of C. parvum, C. viatorum, C. felis gp60 gene

The amplification of the gp60 gene was achieved in all 15 isolates of C. parvum, as well as in two out of the three isolates of C. felis and two isolates of C. viatorum. Two representative gp60 gene sequences were observed among the 15 C. parvum isolates, comprising OR963532 (n = 14) and OR963531 (n = 1). The observed sequences (OR963532 and OR963531) exhibited complete similarity, reaching 100%, with the subtypes IIdA19G1 (KM199738) and IInA10 (KU852717), respectively. The presence of subtype IInA10 was identified in a boy with symptoms of diarrhea. In the present investigation, it was shown that the sequence (OR963530) of the two C. felis isolates exhibited a similarity of 99.81% with the sequences MW351828 (XIXa-89) and MT458682 (XIXa-E1). The sequence (OR963529) of two isolates of C. viatorum examined in this investigation exhibited a complete similarity of 100% to the sequence of XVaA3g (MK796004).

Discussion

This work represents the first molecular investigation of Cryptosporidium among children residing in Wenzhou, China. The findings indicate that the average rate of infection was 2.1%, a rate that is comparatively lower than the combined prevalence of Cryptosporidium infection observed in children across China (2.9%) [14]. Variations are reported in the prevalence of Cryptosporidium infection among children throughout different provinces in China. As an example, the prevalence of Cryptosporidium infection in Henan province was recorded at 0.9% [14]. However, in Inner Mongolia, it exhibited a much higher rate of 8.9% [14]. Overall, the prevalence of Cryptosporidium infection among Chinese children is notably lower compared to rates observed in children from certain developing countries. For instance, Bangladesh reported a rate of 77% [18], India’s under-2-year-olds exhibited a rate of 92.4% [19], rural western Kenya’s 6 to 24-month-olds had a rate of 88.7% [20], and children under 2 years old from eight countries across Africa, Asia, and South America demonstrated an approximate rate of 65% [21]. Furthermore, when comparing China’s prevalence to certain developed countries, the rates are also lower, such as Australia’s Aboriginal children had a rate of 8.2% [22], and children with diarrhea in Switzerland had a rate of 5.5% [23]. However, reports from asymptomatic children in developed countries reveal relatively low prevalence rates, such as 0.9% in Madrid, Spain [24], 1.3% among children under 5 years old in Canada [25], and 1.3% among asymptomatic preschool children in the UK [26]. Germany, has a prevalence level similar to our study, at 2.5% [27]. These disparities could be attributed to various factors, including the environment, sanitary conditions, and living habits of different countries. We hypothesize that the relatively lower occurrence of Cryptosporidium infection in China can be attributed to the widespread access to safe drinking water, with approximately 90% of drinking water being boiled in the country [28]. This practice significantly reduces the risk of ingesting infectious Cryptosporidium oocysts, thereby mitigating the potential harm. However, it is imperative not to overlook this issue, as incidences of infection persist among Chinese children. It is noteworthy that the detection of Cryptosporidium in asymptomatic children also has a significant public health implications. Therefore, regular monitoring of Cryptosporidium infection in the population should be continued.

Cryptosporidium infection is well recognized as a prominent etiological factor contributing to the occurrence of diarrhea in pediatric populations [29]. In this study, the proportion of children with diarrhea was 2.5%, which was higher than non-diarrheal children. Other studies have drawn similar conclusions. For example, in Saudi Arabia, the proportion of asymptomatic children infected with Cryptosporidium was 4.7%, while the children with diarrhea exhibited a proportion of 32.0% [30]. In Uganda, 25.0% of diarrheal children were infected with C. parvum, while only 8.5% of non-diarrheal children were infected with the same pathogen [31]. This observation is present not only among pediatric populations but also among adults. The prevalence of Cryptosporidium infection in individuals suffering from diarrhea was notably higher compared to those without diarrhea [29]. Consequently, it is imperative to enhance the detection of Cryptosporidium in individuals with diarrhea, as this would facilitate a more comprehensive assessment of its impact and enable proactive clinical management of diarrhea-related complications.

This study found no statistically significant disparity in the prevalence of Cryptosporidium infection between boys and girls. However, it is worth noting that infection rates were somewhat higher among males in both groups. Several other studies have also shown that sex is not the main cause of the differences in Cryptosporidium infection rates [14, 16].

The findings of this investigation revealed that C. parvum was the most prevalent Cryptosporidium species identified in the studied population with15/22 (68.2%) of the positive findings. C. parvum infects an extensive range of hosts, including ungulates and wildlife, and is recognized as the primary zoonotic species affecting humans [4]. This is especially significant in rural regions where individuals frequently come into touch with livestock [5]. In this study, two subtypes were identified, including IIdA19G1 and IInA10. The IInA10 subtype was first found in China here and is presently limited to the Tanzania/Sweden population [32]. However, there is a lack of data on infected animals, making it difficult to determine the exact source of infection. There exist two distinct subtypes within family IIn, namely IInA8 and IInA10, both of which lack any documented instances of infected animals [32, 33]. It is not possible to determine whether this genotype can spread between humans and animals, so further investigation of the data is needed to clarify its host range and to complete the traceability of the source of infection. Despite the scarcity of data on C. parvum gp60 subtypes in the population of China, the existing evidence has substantiated the ability of the IIdA19G1 subtype to infect human beings [13, 34]. Moreover, this particular subtype has been identified in children and individuals afflicted with AIDS in China [13,14,15, 35]. Simultaneously, it is observed that the prevalence of C. parvum infection in animals originating from China is extensive, with a notable abundance of gp60 subtypes. Particularly, the IIdA19G1 subtype shows a high frequency among animals in China and demonstrates a broad geographic dispersion [34]. The subtype IIdA19G1 has been identified as a significant contributor to the rising fatality rates observed in several cryptosporidiosis outbreaks in dairy calves in China [34, 36, 37]. Hence, it is imperative to enhance the routine surveillance of individuals and animals, taking into account the aspects of animal and human health. This should be particularly emphasized for vulnerable populations such as children and those affected by AIDS.

In the present study, C. felis was found in three stool samples. C. felis is typically harbored by feline hosts and has been documented in HIV-infected individuals in Ethiopia [38], both HIV-infected and non-infected individuals in Nigeria [39], and children under the age of 5 in Kenya [40]. Research findings indicate that there is a significant likelihood of zoonotic transmission of C. felis. The parasite is found in other animal species, such as non-human primates, foxes, horses, and calves, in addition to cats and people, indicating the potential for zoonotic transmission [10, 41]. Furthermore, it was observed that there are five distinct subtype families of C. felis, namely XIXa, XIXb, XIXc, XIXd, and XIXe. Notably, two of these subtypes (XIXa and XIXb) were shown to be present in both humans and cats, providing evidence for the possibility of zoonotic transmission [10, 41]. Conversely, the other three subtypes (XXc, XIXd and XIXe) may be specific for human-to-human transmission [41]. The two C. felis identified in the current research belong to the XIXa subtype, indicating a risk of cat-to-human transmission. Pet owners should, therefore, be educated regarding the risk of cryptosporidiosis from their pet cats.

In this study, two children were infected with C. viatorum, a species originally reported in 2012 in travelers returning from India [42]. To date, C. viatorum has been documented in the human population throughout a multitude of nations, surpassing a total of 13 countries, including China [43,44,45]. The species was previously believed to only affect humans due to its infrequent occurrence in animals. However, recent research conducted in Australia and China has shown the presence of this species in wild rats [46,47,48]. These findings imply that C. viatorum has the potential to transmit between rodents and humans. Subtype partitioning supports the potential for animal-borne transmission of C. viatorum between rodents and humans due to the presence of its three subtypes (XVaA3g, XVaA3h, and XVcA2G1) in both humans and rodents [43]. The present finding showed that the XVaA3g was present in two children, further supporting the hypothesis that C. viatorum can complete reciprocal transmission between humans and rodents. To gain a more comprehensive understanding of the distribution of rodents as hosts for C. viatorum, it is essential to conduct screenings throughout wider geographic regions.

Although C. baileyi has already been found in humans, its identification of two children here is nevertheless intriguing [49]. The finding suggests the possibility of human infection from avian to Cryptosporidium oocysts. C. baileyi, which is recognized as a parasite restricted to avian species, can infect over 20 different bird hosts, including poultry, domesticated animals, and wild birds [50]. A recent study showed that the absolute infection rate of C. baileyi in broilers was as high as 96.1% [51]. Thus, humans coming in contact with poultry chicken or with eggs contaminated with chicken feces may have played a role in the transmission of Cryptosporidium infection. Additional studies are required to determine the potential of C. baileyi to infect humans and to understand its transmission patterns. It is anticipated that further research in this field will bring more enlightenment to public health.

Conclusions

This work was the first molecular examination conducted on Cryptosporidium infection among children residing in Wenzhou, China. The mean prevalence of Cryptosporidium in children was found to be 2.1%. Nonetheless, it was observed that children presenting with diarrhea were more likely to have Cryptosporidium compared with asymptomatic children. A total of four distinct species of Cryptosporidium were found, namely C. parvum, C. felis, C. viatorum and C. baileyi. Among them, C. parvum and its subtype, IIdA19G1, have well-known zoonotic properties. Furthermore, the identification of subtypes XIXa of C. felis and XVaA3g of C. viatorum further revealed the possibility of transmission of cryptosporidiosis from animals to humans. This work was the first to document the prevalence of C. baileyi infection in Chinese children. This study presents compelling data on the potential origin of Cryptosporidium infection among children in Wenzhou, particularly emphasizing the potential transmission via animals, including cats, rats, and chickens. It is imperative to adopt a heightened level of vigilance in implementing efficacious preventive measures aimed at mitigating the likelihood of infection in children.

Methods

Sample Collection

From March 2021 to January 2022, a total of 1032 children were recruited at Yuying Children’s Hospital in Wenzhou, China (Fig. 1). Among these children, 348 were found to be asymptomatic, while 684 had symptoms of diarrhea (Table 1). The parents/guardians were guided for the collection of the fecal material in a plastic fecal collector with appropriate labeling, having the date of collection and relevant details of the patient, such as age and sex. Following the collecting process, the samples were then kept at 4 °C.

Fig. 1
figure 1

A map of the sampling hospital location in Wenzhou, China. The figure was originally designed by the authors under the software ArcGIS 10.4. The original vector diagram imported in ArcGIS was adapted from National Geomatics Center of China (http://www.ngcc.cn). The map has been modified and assembled according topermission and attribution guidelines using the softwares of Microsoft PowerPoint 2003 and Adobe Photoshop CS6.

DNA extraction and PCR amplification

The genomic DNA was obtained from fecal material weighing between 180 and 200 mg using a QIAamp DNA Stool Mini Kit (QIAgen, Hilden, Germany). following the instructions provided by the manufacturer. The presence of Cryptosporidium was identified in the collected DNA by the utilization of nested PCR amplification targeting a specific region of the Cryptosporidium genome, approximately  587 bp of the partial SSU rRNA gene fragment. The primers used were described previously in a study by Ryan et al. (2003) [17]. The PCR amplifications in this study were performed using TaKaRa Taq DNA Polymerase (TaKaRa Bio Inc., Tokyo, Japan). A negative control consisting of dH2O was included, while a positive control was prepared using DNA extracted from C. xiaoi obtained from goats. The isolates of C. parvum, C. felis, and C. viatorum were subjected to subtyping using nested PCR of the gp60 gene [9,10,11]. The primers and PCR program settings utilized in the current investigation are shown in Table 3. The PCR products underwent electrophoresis on a 1.5% agarose gel and were observed using a Gel Doc EZ UV-gel imaging equipment manufactured by Bio-Rad Inc. (USA). To facilitate visibility, GelRed (Biotium Inc., Hayward, CA) was used to dye the gel.

Table 3 The primers employed for identifying Cryptosporidium spp., and subtypes of C. parvum, C. viatorum, C. felis in the present study

Sequence and statistical analyses

All PCR products of the expected size were successfully purified using the DNA Gel Purification Kit (Sangon, Shanghai, China) and sent for a bi-directional Sanger sequencing analysis (performed by Sangon, Guangzhou, China). Sequencing was conducted using the BigDyeTerminator v3.1 Cycle Sequencing Kit (from Applied Bio systems, Carlsbad, CA, USA) on an ABI Prism 3730 XL DNA Analyzer. DNASTAR Lasergene EditSeq v7.1.0 (http://www.dnastar.com/) was employed for editing the generated sequences, while Clustal X v2.1 (http://www.clustal.org/) was utilized for aligning them with reference sequences obtained from GenBank.

The data analysis was conducted using SPSS version 22.0 (SPSS Inc., IL, USA). The chi-square test and 95% confidence intervals (CIs) were employed to compare the prevalence of Cryptosporidium between diarrheic and asymptomatic individuals, as well as between boys and girls. A P-value less than 0.05 was considered to be statistically significant.

Nucleotide sequence accession numbers

The representative nucleotide sequences obtained in the present study were deposited in GenBank database under the following accession nos.: OR815982 to OR815993 (SSU), OR963529 to OR963532 (gp60).

Data availability

The representative nucleotide sequences obtained in the present study were deposited in GenBank database under the following accession nos.: OR815982 to OR815993 (SSU), OR963529 to OR963532 (gp60).

Abbreviations

SSU rRNA:

Small subunit ribosomal RNA

gp60 :

Glycoprotein 60-kDa

References

  1. Roche K, Dalle F, Capelli N, Borne R, Jouffroy-Bapicot I, Valot B, et al. From modern-day parasitology to paleoparasitology: the elusive past record and evolution of Cryptosporidium. Front Microbiol. 2023;14:1249884.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Wang RJ, Li JQ, Chen YC, Zhang LX, Xiao LH. Widespread occurrence of Cryptosporidium infections in patients with HIV/AIDS: Epidemiology, clinical feature, diagnosis, and therapy. Acta Trop. 2018;187:257–63.

    Article  PubMed  Google Scholar 

  3. Khalil IA, Troeger C, Rao PC, Blacker BF, Brown A, Brewer TG, et al. Morbidity, mortality, and long-term consequences associated with diarrhoea from Cryptosporidium infection in children younger than 5 years: a meta-analyses study. Lancet Glob Health. 2018;6:e758–68.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ryan UM, Feng Y, Fayer R, Xiao L. Taxonomy and molecular epidemiology of Cryptosporidium and Giardia - a 50 year perspective (1971–2021). Int J Parasitol. 2021;51:1099–119.

    Article  CAS  PubMed  Google Scholar 

  5. Ryan U, Zahedi A, Feng Y, Xiao L. An update on zoonotic Cryptosporidium species and genotypes in humans. Anim (Basel). 2021;11:3307.

    Google Scholar 

  6. Xiao L, Feng Y. Molecular epidemiologic tools for waterborne pathogens Cryptosporidium spp. and Giardia Duodenalis. Food Waterborne Parasitol. 2017;8–9:14–32.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Khan A, Shaik JS, Grigg ME. Genomics and molecular epidemiology of Cryptosporidium species. Acta Trop. 2018;184:1–14.

    Article  CAS  PubMed  Google Scholar 

  8. Witto SG, Kankya C, Akurut G, Mugasa CM, Kazibwe A, Ochwo S. The prevalence and genetic characterisation of Cryptosporidium isolates from cattle in Kiruhura district, South Western Uganda. J Parasit Dis. 2021;45:778–89.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Alves M, Xiao L, Sulaiman I, Lal AA, Matos O, Antunes F. Subgenotype analysis of Cryptosporidium isolates from humans, cattle, and zoo ruminants in Portugal. J Clin Microbiol. 2003;41:2744–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Rojas-Lopez L, Elwin K, Chalmers RM, Enemark HL, Beser J, Troell K. Development of a gp60-subtyping method for Cryptosporidium felis. Parasit Vectors. 2020;13:39.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Stensvold CR, Elwin K, Winiecka-Krusnell J, Chalmers RM, Xiao L, Lebbad M. Development and application of a gp60-Based typing assay for Cryptosporidium Viatorum. J Clin Microbiol. 2015;53:1891–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. O’ Leary JK, Blake L, Corcoran GD, Sleator RD, Lucey B. Development of novel methodology for the molecular differentiation of Cryptosporidium parvum gp60 subtypes via high resolution melting analysis. MethodsX. 2020;7:101157.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Liu A, Gong B, Liu X, Shen Y, Wu Y, Zhang W, et al. A retrospective epidemiological analysis of human Cryptosporidium infection in China during the past three decades (1987–2018). PLoS Negl Trop Dis. 2020;14:e0008146.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Chen Y, Wu Y, Qin H, Xu H, Zhang L. Prevalence of Cryptosporidium infection in children from China: a systematic review and meta-analysis. Acta Trop. 2023;244:106958.

    Article  PubMed  Google Scholar 

  15. Jiang Y, Liu L, Yuan Z, Liu A, Cao J, Shen Y. Molecular identification and genetic characteristics of Cryptosporidium spp., Giardia Duodenalis, and Enterocytozoon Bieneusi in human immunodeficiency virus/acquired immunodeficiency syndrome patients in Shanghai, China. Parasit Vectors. 2023;16:53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Wang T, Wei Z, Zhang Y, Zhang Q, Zhang L, Yu F, et al. Molecular detection and genetic characterization of Cryptosporidium in kindergarten children in Southern Xinjiang, China. Infect Genet Evol. 2022;103:105339.

    Article  CAS  PubMed  Google Scholar 

  17. Ryan U, Xiao L, Read C, Zhou L, Lal AA, Pavlasek I. Identification of novel Cryptosporidium genotypes from the Czech Republic. Appl Environ Microbiol. 2003;69:4302–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Korpe PS, Haque R, Gilchrist C, Valencia C, Niu F, Lu M, et al. Natural history of Cryptosporidiosis in a longitudinal study of Slum-Dwelling Bangladeshi Children: association with severe malnutrition. PLoS Negl Trop Dis. 2016;10:e0004564.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Kattula D, Jeyavelu N, Prabhakaran AD, Premkumar PS, Velusamy V, Venugopal S, et al. Natural history of cryptosporidiosis in a birth cohort in Southern India. Clin Infect Dis. 2017;64:347–54.

    Article  CAS  PubMed  Google Scholar 

  20. Delahoy MJ, Omore R, Ayers TL, Schilling KA, Blackstock AJ, Ochieng JB, et al. Clinical, environmental, and behavioral characteristics associated with Cryptosporidium infection among children with moderate-to-severe diarrhea in rural western Kenya, 2008–2012: the global enteric Multicenter Study (GEMS). PLoS Negl Trop Dis. 2018;12:e0006640.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Korpe PS, Valencia C, Haque R, Mahfuz M, McGrath M, Houpt E, et al. Epidemiology and risk factors for cryptosporidiosis in childrenfrom 8 low-income sites: results from the MAL-ED study. Clin Infect Dis. 2018;67:1660–9.

    PubMed  PubMed Central  Google Scholar 

  22. Hanieh S, Mahanty S, Gurruwiwi G, Kearns T, Dhurrkay R, Gondarra V, et al. Enteric pathogen infection and consequences for child growth in young Aboriginal Australian children: a cross-sectional study. BMC Infect Dis. 2021;21(1):9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Glaeser C, Grimm F, Mathis A, Weber R, Nadal D, Deplazes P. Detection and molecular characterization of Cryptosporidium spp. isolated from diarrheic children in Switzerland. Pediatr Infect Dis J. 2004;23:359–61.

    Article  PubMed  Google Scholar 

  24. Muadica AS, Köster PC, Dashti A, Bailo B, Hernández-de-Mingo M, Reh L et al. Molecular Diversity of Giardia duodenalis, Cryptosporidium spp. and Blastocystis sp. in Asymptomatic School Children in Leganés, Madrid (Spain). Microorganisms. 2020;8:466.

  25. Thivierge K, Iqbal A, Dixon B, Dion R, Levesque B, Cantin P, et al. Cryptosporidium hominis is a newly recognized Pathogen in the Arctic Region of Nunavik, Canada: molecular characterization of an outbreak. PLoS Negl Trop Dis. 2016;10:e0004534.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Davies AP, Campbell B, Evans MR, Bone A, Roche A, Chalmers RM. Asymptomatic carriage of protozoan parasites in children in day care centers in the United Kingdom. Pediatr Infect Dis J. 2009;28:838–40.

    Article  PubMed  Google Scholar 

  27. Schuster W, Fischer R, Alsleben S, Schuster B. Cryptosporidium sp. in stool specimens from diarrhoeic and asymptomatic individuals in the Magdeburg area (East Germany). Angew Parasitol. 1991;32:193–7.

    CAS  PubMed  Google Scholar 

  28. Zhu Y, Jiao X, Meng W, Yu X, Cheng H, Shen G, Wang X, Tao S. Drinking Water in Rural China: Water sources, Treatment, and Boiling Energy. Environ Sci Technol. 2023;57:6465–73.

    Article  CAS  PubMed  Google Scholar 

  29. Bouzid M, Kintz E, Hunter PR. Risk factors for Cryptosporidium infection in low and middle income countries: a systematic review and meta-analysis. PLoS Negl Trop Dis. 2018;12:e0006553.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Al-Braiken FA, Amin A, Beeching NJ, Hommel M, Hart CA. Detection of Cryptosporidium amongst diarrhoeic and asymptomatic children in Jeddah, Saudi Arabia. Ann Trop Med Parasitol. 2003;97:505–10.

    Article  CAS  PubMed  Google Scholar 

  31. Tumwine JK, Kekitiinwa A, Nabukeera N, Akiyoshi DE, Rich SM, Widmer G, et al. Cryptosporidium parvum in children with diarrhea in Mulago Hospital, Kampala, Uganda. Am J Trop Med Hyg. 2003;68:710–5.

    Article  PubMed  Google Scholar 

  32. Lebbad M, Winiecka-Krusnell J, Stensvold CR, Beser J. High Diversity of Cryptosporidium Species and subtypes identified in Cryptosporidiosis Acquired in Sweden and abroad. Pathogens. 2021;10:523.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Ajjampur SS, Liakath FB, Kannan A, Rajendran P, Sarkar R, Moses PD, et al. Multisite study of cryptosporidiosis in children with diarrhea in India. J Clin Microbiol. 2010;48:2075–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Guo Y, Ryan U, Feng Y, Xiao L. Emergence of zoonotic Cryptosporidium parvum in China. Trends Parasitol. 2022;38:335–43.

    Article  CAS  PubMed  Google Scholar 

  35. Yu F, Li D, Chang Y, Wu Y, Guo Z, Jia L, et al. Molecular characterization of three intestinal protozoans in hospitalized children with different disease backgrounds in Zhengzhou, central China. Parasit Vectors. 2019;12:543.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Li N, Wang R, Cai M, Jiang W, Feng Y, Xiao L. Outbreak of cryptosporidiosis due to Cryptosporidium parvum subtype IIdA19G1 in neonatal calves on a dairy farm in China. Int J Parasitol. 2019;49:569–77.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Wang R, Zhao G, Gong Y, Zhang L. Advances and perspectives on the epidemiology of bovine Cryptosporidium in China in the past 30 years. Front Microbiol. 2017;8:1823.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Adamu H, Petros B, Zhang G, Kassa H, Amer S, Ye J et al. Distribution and clinical manifestations of Cryptosporidium species and subtypes in HIV/AIDS patients in Ethiopia. PLoS Negl Trop Dis. 2014; 8, e2831.

  39. Ukwah BN, Ezeonu IM, Ezeonu CT, Roellig D, Xiao L. Cryptosporidium species and subtypes in diarrheal children and HIV-infected persons in Ebonyi and Nsukka, Nigeria. J Infect Dev Ctries. 2017;11:173–9.

    Article  CAS  PubMed  Google Scholar 

  40. Gatei W, Wamae CN, Mbae C, Waruru A, Mulinge E, Waithera T, et al. Cryptosporidiosis: prevalence, genotype analysis, and symptoms associated with infections in children in Kenya. Am J Trop Med Hyg. 2006;75:78–82.

    Article  PubMed  Google Scholar 

  41. Jiang W, Roellig DM, Lebbad M, Beser J, Troell K, Guo Y, et al. Subtype distribution of zoonotic pathogen Cryptosporidium felis in humans and animals in several countries. Emerg Microbes Infect. 2020;9:2446–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Elwin K, Hadfield SJ, Robinson G, Crouch ND, Chalmers RM. Cryptosporidium Viatorum n. sp. (Apicomplexa: Cryptosporidiidae) among travellers returning to Great Britain from the Indian subcontinent, 2007–2011. Int J Parasitol. 2012;42:675–82.

    Article  PubMed  Google Scholar 

  43. Wu Y, Gong B, Liu X, Jiang Y, Cao J, Yao L, et al. Identification of uncommon Cryptosporidium viatorum (a Novel Subtype XVcA2G1c) and Cryptosporidium andersoni as Well as Common Giardia duodenalis assemblages a and B in humans in Myanmar. Front Cell Infect Microbiol. 2020;10:614053.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Essendi WM, Muleke C, Miheso M, Otachi E. Genetic diversity of Cryptosporidium species in Njoro Sub County, Nakuru, Kenya. J Parasit Dis. 2022;46:262–71.

    Article  PubMed  Google Scholar 

  45. Egan S, Barbosa AD, Feng Y, Xiao L, Ryan U. Critters and contamination: zoonotic protozoans in urban rodents and water quality. Water Res. 2024;251:121165.

    Article  CAS  PubMed  Google Scholar 

  46. Ni HB, Sun YZ, Qin SY, Wang YC, Zhao Q, Sun ZY, et al. Molecular detection of Cryptosporidium spp. and Enterocytozoon bieneusi infection in wild rodents from six provinces in China. Front Cell Infect Microbiol. 2021;11:783508.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Chen YW, Zheng WB, Zhang NZ, Gui BZ, Lv QY, Yan JQ, et al. Identification of Cryptosporidium Viatorum XVa subtype family in two wild rat species in China. Parasit Vectors. 2019;12:502.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Zhao W, Zhou H, Huang Y, Xu L, Rao L, Wang S, et al. Cryptosporidium spp. in wild rats (Rattus spp.) from the Hainan Province, China: molecular detection, species/genotype identification and implications for public health. Int J Parasitol Parasites Wildl. 2019;9:317–21.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Kopacz Ż, Kváč M, Piesiak P, Szydłowicz M, Hendrich AB, Sak B, et al. Cryptosporidium baileyi Pulmonary infection in Immunocompetent Woman with Benign Neoplasm. Emerg Infect Dis. 2020;26:1958–61.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Wang Y, Zhang K, Chen Y, Li X, Zhang L. Cryptosporidium and cryptosporidiosis in wild birds: a One Health perspective. Parasitol Res. 2021;120:3035–44.

    Article  PubMed  Google Scholar 

  51. Feng X, Deng J, Zhang Z, Yu F, Zhang J, Shi T, et al. Dominant infection of Cryptosporidium baileyi in broiler chickens in Zhejiang Province, China. Parasitol Res. 2023;122:1993–2000.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the Department of Education Scientific Research Project of Zhejiang (Y202249687), the Basic scientific research project of Wenzhou (Y2023070), National Natural Science Foundation of China (82273693). The funding sponsors had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

Conceived and designed the experiments: HH, GL, YJ. Performed the experiments: WZ, GR, WJ, LW, JW. Analyzed the data: WZ, GR, YL, YS, XX, LY. Contributed reagents/materials/analysis tools: ZY, YJ, GL. Wrote the paper: WZ. All authors reviewed the manuscript.

Corresponding authors

Correspondence to Yanyan Jiang, Gang Lu or Huicong Huang.

Ethics declarations

Ethics approval and consent to participate

The necessary ethical approvals for these investigations were received from the Ethics Committees of Wenzhou Medical University under the reference number SCILLSC-2021-01. Each participant, including the 17-year-old participants, provided written informed consent. For the below the age of 17 years, consent was gained from their parents or guardian. Prior to obtaining consent, participants or their parents/guardians received information about the study’s objectives and methods.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, W., Ren, G., Jiang, W. et al. Genetic characterizations of Cryptosporidium spp. from children with or without diarrhea in Wenzhou, China: high probability of zoonotic transmission. BMC Microbiol 24, 113 (2024). https://doi.org/10.1186/s12866-024-03273-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12866-024-03273-w

Keywords