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Editorial

Editorial for the Special Issue: Diagnosis, Epidemiology and Transmission Dynamics of Cryptosporidium spp. and Giardia duodenalis

by
Pamela C. Köster
,
David González-Barrio
* and
David Carmena
Parasitology Reference and Research Laboratory, Spanish National Centre for Microbiology, Majadahonda, 28220 Madrid, Spain
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(2), 141; https://doi.org/10.3390/pathogens11020141
Submission received: 19 January 2022 / Accepted: 21 January 2022 / Published: 24 January 2022
Cryptosporidium spp. and Giardia duodenalis are major contributors to the global burden of diarrhoeal disease, primarily affecting young children in poor-resource settings. Cryptosporidiosis ranks second to rotavirus infection as a cause of life-threatening diarrhoea in children younger than two years of age, in sub-Saharan Africa and south Asia [1]. In contrast, giardiasis is rarely a cause of childhood mortality, but the disease has been consistently associated with growth faltering and cognitive impairment in malnourished children [2]. Intriguingly, large epidemiological studies, based on case-control data, have evidenced that G. duodenalis was more frequent among controls (individuals without diarrhoea) than in cases (individuals with diarrhoea) [1,3,4]. This finding has been interpreted by some authors as evidence in favour of a potential “protective” effect of the parasite against diarrhoea, and explains why G. duodenalis infections are systematically absent in global burden estimations of diarrhoeal diseases [5].
At least 44 Cryptosporidium species and more than 120 genotypes, as well as nine Giardia species are currently recognised [6]. Only three Cryptosporidium species (mainly anthroponotic C. hominis and zoonotic C. parvum and C. meleagridis) are responsible for most (circa 95%) human cases of cryptosporidiosis reported globally. Giardia duodenalis is the only Giardia species infective to humans, comprising eight (A–H) distinct genetic groups (the so-called assemblages) of which zoonotic assemblages A and B are commonly reported to infect humans [6]. Because of the large number of morphologically identical (but genetically different) species/genotypes, within both groups of protozoa, molecular-based tools, including Sanger sequencing, are needed for detection, differentiation, and subtyping purposes [7]. Molecular data are also essential to characterize the transmission dynamics of Cryptosporidium spp. and G. duodenalis, including for the identification of sources of infection and spread pathways, the tracking of virulent genetic variants or the assessment of zoonotic potential. The most common genetic markers used in subtyping analyses include the Cryptosporidium 60-kDa glycoprotein (gp60) gene, and the G. duodenalis β-giardin (bg), glutamate dehydrogenase (gdh), and triosephosphate isomerase (tpi) genes [7].
This special issue includes 14 papers that made important contributions in expanding our current knowledge, on aspects relevant to the diagnosis and epidemiology of Cryptosporidium spp. and G. duodenalis. These include the usefulness of PCR-based methods, for the first-line routine diagnosis of Cryptosporidium spp. in clinical settings [8], or for enlarging the available arsenal of subtyping tools, to assess Cryptosporidium intra-species genetic diversity in canine-adapted C. felis [9] and ovine-adapted C. xiaoi [10]. We were lucky enough to receive relevant contributions dealing with the human molecular epidemiology of Cryptosporidium spp. and G. duodenalis in a low-income country, such as Mozambique [11,12,13], in medium-income countries, such as Brazil and China [14,15], and in a high-income country, such as Sweden [16]. Finally, this special issue also included molecular epidemiological studies directed to assess the occurrence, genetic diversity and zoonotic potential of Cryptosporidium spp. and G. duodenalis in pet dogs and cats [17], livestock [18], and farmed rabbits and rats [19,20,21], mostly in China.
In their study, Costa et al. [8] evaluated the diagnostic performance of four “in-house” and four commercial PCR methods for the detection of Cryptosporidium spp. against a panel of selected stool samples, belonging to the collection of a French reference laboratory. The authors identified significant differences in the performance of the compared assays, highlighting the need for proper validation and standardization before routine clinical use. An asset of this study was the inclusion of less frequent or rare Cryptosporidium species and genotypes (C. cuniculus, C. felis, C. meleagridis, C. ubiquitum, C. sp. chipmunk genotype), in addition to C. hominis and C. parvum. All four commercial assays were able to identify all Cryptosporidium species and genotypes evaluated, but this was not always the case for the “in-house” protocols.
Li et al. [9] confirmed and expanded the usefulness of the 60-kDa glycoprotein (gp60) gene subtyping tool for assessing the genetic diversity within C. felis, initially developed by Rojas-Lopez et al. [22]. To do so, the authors identified the subtypes of 20 C. felis isolates, obtained from stray, sheltered, and pet cats, in Guandong province and Shanghai city in China. A high intra-species genetic diversity was observed, resulting in the identification of 13 novel and two known subtypes of the parasite. The main contribution of this survey was the demonstration that many of these genetic variants were shared between cats and humans, strongly suggesting that there could be cross-species transmission of C. felis. Furthermore, Fan et al. [10] developed a new gp60 subtyping tool for C. xiaoi, a Cryptosporidium species adapted to infect sheep and goats, for which this tool was previously lacking. The authors tested 355 C. xiaoi-positive samples from Chinese sheep and goats and found an extremely large intra-species genetic diversity, resulting in the identification of 12 (XXIIIa to XXIIIl) subtype families. This study complements and expands the available gp60 subtyping toolbox, including protocols adapted to Cryptosporidium species, such as C. hominis and C. parvum [23], C. fayeri [24], C. meleagridis [25], C. ubiquitum [26], C. viatorum [27], C. felis [22], C. ryanae [28], C. canis [29], and C. bovis [30].
This special issue brings together new epidemiological data that contribute to improving our understanding on the current situation of human cryptosporidiosis in Mozambique, one of the least developed countries in sub-Saharan Africa. In a seminal molecular-based study conducted in Zambézia province, Muadica et al. [11] investigated the presence and genetic diversity of Cryptosporidium spp., and other intestinal micro-eukaryotes, in a large population (n = 1093) of asymptomatic and symptomatic schoolchildren. The authors found a low prevalence of Cryptosporidium infections (1.6%) and managed to genotype 13 isolates of the parasite. Three species (C. hominis, C. parvum, and C. felis) were identified at equal rates (31% each), with C. viatorum being detected in 7% of cases. These preliminary results were further confirmed and expanded in a subsequent retrospective study, conducted by Messa et al. [12], taking advantage of a large panel of Cryptosporidium-confirmed DNA samples (n = 190), obtained during the Global Enteric Multicenter Study (GEMS) at the Manhiça district in the Maputo province [1]. The GEMS project was specifically designed as a case-control study to determine the etiology and population-based burden of paediatric diarrheal disease in sub-Saharan Africa and South Asia [31]. In their study, Messa et al. [12] identified three Cryptosporidium species including C. hominis (73%), C. parvum (23%), and C. meleagridis (4%). Both C. hominis and C. parvum were more prevalent among children with diarrhoea than in children without it (48% vs. 33%). A large intra-species genetic variability was observed within C. hominis (gp60 subtype families Ia, Ib, Id, Ie, and If) and C. parvum (gp60 subtype families IIb, IIc, IIe, and IIi) but not within C. meleagridis (gp60 subtype family IIIb). Molecular genotyping data, provided by Cossa-Moiane et al. [13], in young children (n = 319) presenting with diarrhoea at hospital settings in the Maputo province, pointed in the same direction. In this study, a microscopy-based Cryptosporidium prevalence of 11% was obtained. In addition, typing results were available from a subset (n = 29) of these Cryptosporidium-positive samples, confirming the predominance of C. hominis (93%) over C. parvum (3%). A mixed infection of C. hominis and C. parvum was also detected (3%). Taken together, these three studies strongly suggest that human cryptosporidiosis in Mozambique is mainly of anthropic nature, although domestic dogs, cattle, and avian species can act as source of human infection in certain areas. This situation reflects the coexistence of different transmission pathways of cryptosporidiosis in the country.
Understanding the public health significance of emerging diarrhoea-causing microeukaryotes, including Cryptosporidium spp. and G. duodenalis, is increasingly attracting research interest in rapidly developing countries, such as Brazil and China [32,33]. In the former country, Köster et al. [14] investigated the occurrence and genetic diversity of G. duodenalis in a community survey of indigenous people (n = 574) from the Brazilian Amazon. During the four consecutive sampling campaigns of the study, G. duodenalis prevalence rates varied from 13–22% and primarily affected individuals younger than 15 years of age. Near 75% of the infections were attributed to the assemblage B of the parasite. Remarkably, no association between the G. duodenalis genotype and the occurrence of diarrhoea could be demonstrated. This finding is in agreement with the results obtained in a recent study conducted in Mozambican children younger than five years of age [34]. Considered together, these findings indicate that the parasite genotype does not suffice to explain, per se, the progression from infection to disease. Little information on the molecular variability of Cryptosporidium spp. and G. duodenalis is still available from Chinese human populations. Zhang et al. [15] attempted to overcome this gap in knowledge by analysing stool samples (n = 507) from randomly selected individuals, with and without gastrointestinal manifestations, seeking medical attention at hospital settings in the Yunnan Province. Interestingly, no Cryptosporidium infections were identified in the surveyed clinical population, whereas a low G. duodenalis occurrence rate (2%) was found. Sequence analyses of the G. duodenalis-positive isolates confirmed that assemblage A was far more prevalent than assemblage B (90% vs. 10%, respectively). The large, geographical-dependent difference in assemblage frequencies, documented in the studies mentioned above, may be indicative of different sources of infection and transmission routes.
Cryptosporidium spp. and G. duodenalis are a public health concern, not only in low- and medium-income countries, but also in developed nations [35]. In their study, Lebbad et al. [16] retrospectively genotyped Cryptosporidium-positive stool samples (n = 398) collected in 12 of the 21 regional laboratories that carry out routine parasitological diagnosis in Sweden. The cohort of stool samples analysed included patients that acquired the infection in the country and abroad. The authors identified 12 distinct Cryptosporidium species/genotypes, with C. parvum (75%) and C. hominis (12%) accounting for the majority of the cases identified. A very large intra-species genetic diversity was detected, allowing the identification of 29 gp60 subtype families including four novel ones (C. parvum IIr, IIs, IIt, and Cryptosporidium horse genotype VIc). The authors also reported a human infection by rodent-adapted C. ditrichi, a Cryptosporidium species very rarely found in humans [36]. Another major contribution to this survey was the demonstration that almost 8% of human cryptosporidiosis cases in Sweden had a zoonotic origin. However, it is still unclear whether some of these findings (e.g., C. erinacei, C. ditrichi, C. horse genotype) correspond to true or spurious infections.
From the human molecular data presented above, it is clear now that zoonotic transmission is a significant route of Cryptosporidium spp. and G. duodenalis, spreading in several settings, either in developing or developed nations. Human infections can arise through direct contact with infected animals, or through accidental ingestion of contaminated water or food with the faecal material of these animals [37,38,39]. This special issue included five articles dealing with the potential role of companion, livestock, and farmed animals as potential sources of human cryptosporidiosis and giardiasis. Most of these studies were conducted in China. In the first one, Wang et al. [17] investigated the presence and genetic diversity of Cryptosporidium spp. and G. duodenalis in faecal samples from pet dogs (n = 262) and cats (n = 171), collected in veterinary clinics, markets and shelters, from the Yunnan province. Reported infection rates for G. duodenalis and Cryptosporidium spp. were 14% and 5% in dogs, and 1% each in cats, respectively. Sequence analyses revealed that dogs were infected only by canine-adapted Cryptosporidium (C. canis) and G. duodenalis (assemblages C and D) species/genotypes. Similarly, cats were infected by feline-adapted C. felis and G. duodenalis assemblage F. These data indicate that pet dogs and cats play a marginal role as sources of human cryptosporidiosis and giardiasis. It should be noted that most molecular-based surveys conducted so far, failed to demonstrate zoonotic transmission events between pet dogs/cats and humans [40,41]. In another survey, Cao et al. [18] assessed the occurrence and molecular diversity of Cryptosporidium spp. in faecal samples (n = 476) from Bactrian camels in the Xinjiang Uygur Autonomous Region. In this Chinese area, the Bactrian camel is one of the few large animal species suitable for livestock production, providing clothing, milk, meat, and transport for many people. The authors found a PCR-based prevalence of 8% and identified six different Cryptosporidium species circulating in the surveyed camel population. Of them, C. andersoni (67%) and C. parvum (17%) accounted for eight out of ten infections. Other, less frequent species, included C. occultus, C. ubiquitum, C. hominis, and C. bovis. The study represents the first report of C. hominis (gp60 subtype family Ik) in Bactrian camels, expanding the known range of suitable hosts for this pathogen in China that already included cattle [42], donkeys [43], horses [43], and non-human primates [44], beside humans. Some authors have interpreted all this information as evidence in support of considering C. hominis as a zoonotic species [45]. Regarding intensive animal farming, Cui et al. [19] investigated the presence, molecular variability and zoonotic potential of G. duodenalis in coypus (n =308), reared in fur farms in six Chinese provinces/autonomous regions. The parasite was detected in all farms investigated at variable infection rates, ranging from 1–29%. Subtyping data was available for 38 isolates, of which 95% were assigned to assemblage B and the remaining 5% to assemblage A. These data indicate that giardiasis could be an occupational risk for those individuals working in close contact with the farmed coypus or their excreta. In a similar study conducted in farmed bamboo rats (n = 724), in Guangdong province, Li et al. [20] identified Cryptosporidium infections in 12% of the investigated animals. Sequence analyses of the isolates positive to the parasite allowed for the identification of five distinct Cryptosporidium species/genotypes, with C. bamboo rat genotype I (56%) and C. parvum (35%) being the most prevalent genetic variants found. The remaining positive samples belonged to C. bamboo rat genotype III (6%), C. occultus (2), and C. muris (1%). All C. parvum isolates were assigned to the rare gp60 subtype families IIo and IIp (not previously identified in human cryptosporidiosis cases). Taken together, these data indicate that farmed bamboo rats were infected by rodent-adapted Cryptosporidium species with little, or no zoonotic potential. Finally, Naguib et al. [21] provided novel data on the presence and genetic variability of Cryptosporidium spp. in farmed rabbits in Egypt, a country where the molecular epidemiology of this protozoan parasite is poorly understood. The authors collected and analysed faecal samples (n = 235) from nine rabbit farms, located in three Egyptian provinces. Cryptosporidium infections were confirmed in eight out of the nine farms sampled at variable rates, ranging from 4% to 24%. All Cryptosporidium-positive isolates generated (n = 28) were identified as C. cuniculus and belonged to the gp60 subtype family Vb. Although C. cuniculus is known to be particularly adapted to infect domestic and wild leporids, it has also been identified in clinical human cases [46] and in waterborne outbreaks of cryptosporidiosis [47] and is regarded as an emerging pathogen to humans.

Author Contributions

P.C.K., D.G.-B. and D.C. wrote the Editorial. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

We are grateful to all the authors for their exciting contributions to this Special Issue. We also thank the reviewers for their helpful recommendations. We would also like to thank the Pathogens editorial office staff for their assistance and support and for having given us the opportunity to propose and organize this Special Issue.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kotloff, K.L.; Nataro, J.P.; Blackwelder, W.C.; Nasrin, D.; Farag, T.H.; Panchalingam, S.; Wu, Y.; Sow, S.O.; Sur, D.; Breiman, R.F.; et al. Burden and Aetiology of Diarrhoeal Disease in Infants and Young Children in Developing Countries (the Global Enteric Multicenter Study, GEMS): A Prospective, Case-control Study. Lancet 2013, 382, 209–222. [Google Scholar] [CrossRef]
  2. Berkman, D.S.; Lescano, A.G.; Gilman, R.H.; Lopez, S.L.; Black, M.M. Effects of Stunting, Diarrhoeal Disease, and Parasitic Infection During Infancy on Cognition in Late Childhood: A Follow-up Study. Lancet 2002, 359, 564–571. [Google Scholar] [CrossRef]
  3. Breurec, S.; Vanel, N.; Bata, P.; Chartier, L.; Farra, A.; Favennec, L.; Franck, T.; Giles-Vernick, T.; Gody, J.C.; Luong Nguyen, L.B.; et al. Etiology and Epidemiology of Diarrhea in Hospitalized Children from Low Income Country: A Matched Case-Control Study in Central African Republic. PLoS Negl. Trop. Dis. 2016, 10, e0004283. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Becker, S.L.; Chatigre, J.K.; Gohou, J.P.; Coulibaly, J.T.; Leuppi, R.; Polman, K.; Chappuis, F.; Mertens, P.; Herrmann, M.; N’Goran, E.K.; et al. Combined Stool-based Multiplex PCR and Microscopy for Enhanced Pathogen Detection in Patients with Persistent Diarrhoea and Asymptomatic Controls from Côte d’Ivoire. Clin. Microbiol. Infect. 2015, 21, 591.e1–591.e10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. GBD 2013 Mortality and Causes of Death Collaborators. Global, Regional, and National Age-sex Specific All-cause and Cause-specific Mortality for 240 Causes of Death, 1990-2013: A Systematic Analysis for the Global Burden of Disease Study 2013. Lancet 2015, 385, 117–171. [Google Scholar] [CrossRef]
  6. Ryan, U.M.; 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, 1099–1119. [Google Scholar] [CrossRef]
  7. Xiao, L.; Feng, Y. Molecular Epidemiologic Tools for Waterborne Pathogens Cryptosporidium spp. and Giardia duodenalis. Food Waterborne Parasitol. 2017, 8-9, 14–32. [Google Scholar] [CrossRef]
  8. Costa, D.; Soulieux, L.; Razakandrainibe, R.; Basmaciyan, L.; Gargala, G.; Valot, S.; Dalle, F.; Favennec, L. Comparative Performance of Eight PCR Methods to Detect Cryptosporidium Species. Pathogens 2021, 10, 647. [Google Scholar] [CrossRef]
  9. Li, J.; Yang, F.; Liang, R.; Guo, S.; Guo, Y.; Li, N.; Feng, Y.; Xiao, L. Subtype Characterization and Zoonotic Potential of Cryptosporidium felis in Cats in Guangdong and Shanghai, China. Pathogens 2021, 10, 89. [Google Scholar] [CrossRef]
  10. Fan, Y.; Huang, X.; Guo, S.; Yang, F.; Yang, X.; Guo, Y.; Feng, Y.; Xiao, L.; Li, N. Subtyping Cryptosporidium xiaoi, a Common Pathogen in Sheep and Goats. Pathogens 2021, 10, 800. [Google Scholar] [CrossRef]
  11. Muadica, A.S.; Köster, P.C.; Dashti, A.; Bailo, B.; Hernández-de-Mingo, M.; Balasegaram, S.; Carmena, D. Molecular Diversity of Giardia duodenalis, Cryptosporidium spp., and Blastocystis sp. in Symptomatic and Asymptomatic Schoolchildren in Zambézia Province (Mozambique). Pathogens 2021, 10, 255. [Google Scholar] [CrossRef] [PubMed]
  12. Messa, A., Jr.; Köster, P.C.; Garrine, M.; Nhampossa, T.; Massora, S.; Cossa, A.; Bassat, Q.; Kotloff, K.; Levine, M.M.; Alonso, P.L.; et al. Molecular Characterisation of Cryptosporidium spp. in Mozambican Children Younger than 5 Years Enrolled in a Matched Case-Control Study on the Aetiology of Diarrhoeal Disease. Pathogens 2021, 10, 452. [Google Scholar] [CrossRef] [PubMed]
  13. Cossa-Moiane, I.; Cossa, H.; Bauhofer, A.F.L.; Chilaúle, J.; Guimarães, E.L.; Bero, D.M.; Cassocera, M.; Bambo, M.; Anapakala, E.; Chissaque, A.; et al. High Frequency of Cryptosporidium hominis Infecting Infants Points to A Potential Anthroponotic Transmission in Maputo, Mozambique. Pathogens 2021, 10, 293. [Google Scholar] [CrossRef] [PubMed]
  14. Köster, P.C.; Malheiros, A.F.; Shaw, J.J.; Balasegaram, S.; Prendergast, A.; Lucaccioni, H.; Moreira, L.M.; Lemos, L.M.S.; Dashti, A.; Bailo, B.; et al. Multilocus Genotyping of Giardia duodenalis in Mostly Asymptomatic Indigenous People from the Tapirapé Tribe, Brazilian Amazon. Pathogens 2021, 10, 206. [Google Scholar] [CrossRef] [PubMed]
  15. Zhang, S.-X.; Carmena, D.; Ballesteros, C.; Yang, C.-L.; Chen, J.-X.; Chu, Y.-H.; Yu, Y.-F.; Wu, X.-P.; Tian, L.-G.; Serrano, E. Symptomatic and Asymptomatic Protist Infections in Hospital Inpatients in Southwestern China. Pathogens 2021, 10, 684. [Google Scholar] [CrossRef] [PubMed]
  16. Lebbad, M.; Winiecka-Krusnell, J.; Stensvold, C.R.; Beser, J. High Diversity of Cryptosporidium Species and Subtypes Identified in Cryptosporidiosis Acquired in Sweden and Abroad. Pathogens 2021, 10, 523. [Google Scholar] [CrossRef] [PubMed]
  17. Wang, Y.-G.; Zou, Y.; Yu, Z.-Z.; Chen, D.; Gui, B.-Z.; Yang, J.-F.; Zhu, X.-Q.; Liu, G.-H.; Zou, F.-C. Molecular Investigation of Zoonotic Intestinal Protozoa in Pet Dogs and Cats in Yunnan Province, Southwestern China. Pathogens 2021, 10, 1107. [Google Scholar] [CrossRef]
  18. Cao, Y.; Cui, Z.; Zhou, Q.; Jing, B.; Xu, C.; Wang, T.; Qi, M.; Zhang, L. Genetic Diversity of Cryptosporidium in Bactrian Camels (Camelus bactrianus) in Xinjiang, Northwestern China. Pathogens 2020, 9, 946. [Google Scholar] [CrossRef]
  19. Cui, Z.; Wang, D.; Wang, W.; Zhang, Y.; Jing, B.; Xu, C.; Chen, Y.; Qi, M.; Zhang, L. Occurrence and Multi-Locus Analysis of Giardia duodenalis in Coypus (Myocastor coypus) in China. Pathogens 2021, 10, 179. [Google Scholar] [CrossRef]
  20. Li, F.; Zhao, W.; Zhang, C.; Guo, Y.; Li, N.; Xiao, L.; Feng, Y. Cryptosporidium Species and C. parvum Subtypes in Farmed Bamboo Rats. Pathogens 2020, 9, 1018. [Google Scholar] [CrossRef]
  21. Naguib, D.; Roellig, D.M.; Arafat, N.; Xiao, L. Genetic Characterization of Cryptosporidium cuniculus from Rabbits in Egypt. Pathogens 2021, 10, 775. [Google Scholar] [CrossRef] [PubMed]
  22. Rojas-Lopez, L.; Elwin, K.; Chalmers, R.M.; Enemark, H.L.; Beser, J.; Troell, K. Development of a gp60-subtyping Method for Cryptosporidium felis. Parasites Vectors 2020, 13, 39. [Google Scholar] [CrossRef] [PubMed]
  23. Strong, W.B.; Gut, J.; Nelson, R.G. Cloning and Sequence Analysis of a Highly Polymorphic Cryptosporidium parvum Gene Encoding a 60-kilodalton Glycoprotein and Characterization of its 15- and 45-kilodalton Zoite Surface Antigen Products. Infect. Immun. 2000, 68, 4117–4134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Power, M.L.; Cheung-Kwok-Sang, C.; Slade, M.; Williamson, S. Cryptosporidium fayeri: Diversity Within the GP60 Locus of Isolates from Different Marsupial Hosts. Exp. Parasitol. 2009, 121, 219–223. [Google Scholar] [CrossRef]
  25. Stensvold, C.R.; Beser, J.; Axén, C.; Lebbad, M. High Applicability of a Novel Method for gp60-based Subtyping of Cryptosporidium meleagridis. J. Clin. Microbiol. 2014, 52, 2311–2319. [Google Scholar] [CrossRef] [Green Version]
  26. Li, N.; Xiao, L.; Alderisio, K.; Elwin, K.; Cebelinski, E.; Chalmers, R.; Santin, M.; Fayer, R.; Kvac, M.; Ryan, U.; et al. Subtyping Cryptosporidium ubiquitum, a Zoonotic Pathogen Emerging in Humans. Emerg. Infect. Dis. 2014, 20, 217–224. [Google Scholar] [CrossRef]
  27. Stensvold, C.R.; Elwin, K.; Winiecka-Krusnell, J.; Chalmers, R.M.; Xiao, L.; Lebbad, M. Development and Application of a gp60-Based Typing Assay for Cryptosporidium viatorum. J. Clin. Microbiol. 2015, 53, 1891–1897. [Google Scholar] [CrossRef] [Green Version]
  28. Yang, X.; Huang, N.; Jiang, W.; Wang, X.; Li, N.; Guo, Y.; Kváč, M.; Feng, Y.; Xiao, L. Subtyping Cryptosporidium ryanae: A Common Pathogen in Bovine Animals. Microorganisms 2020, 8, 1107. [Google Scholar] [CrossRef]
  29. Jiang, W.; Roellig, D.M.; Guo, Y.; Li, N.; Feng, Y.; Xiao, L. Development of a Subtyping Tool for Zoonotic Pathogen Cryptosporidium canis. J. Clin. Microbiol. 2021, 59, e02474-20. [Google Scholar] [CrossRef]
  30. Wang, W.; Wan, M.; Yang, F.; Li, N.; Xiao, L.; Feng, Y.; Guo, Y. Development and Application of a gp60-Based Subtyping Tool for Cryptosporidium bovis. Microorganisms 2021, 9, 2067. [Google Scholar] [CrossRef]
  31. Levine, M.M.; Kotloff, K.L.; Nataro, J.P.; Muhsen, K. The Global Enteric Multicenter Study (GEMS): Impetus, Rationale, and Genesis. Clin. Infect. Dis. 2012, 55, S215–S224. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Coelho, C.H.; Durigan, M.; Leal, D.A.G.; Schneider, A.B.; Franco, R.M.B.; Singer, S.M. Giardiasis as a Neglected Disease in Brazil: Systematic Review of 20 Years of Publications. PLoS Negl. Trop. Dis. 2017, 11, e0006005. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Guo, Y.; Ryan, U.; Feng, Y.; Xiao, L. Emergence of Zoonotic Cryptosporidium parvum in China. Trends Parasitol. 2021, in press. [CrossRef] [PubMed]
  34. Messa, A., Jr.; Köster, P.C.; Garrine, M.; Gilchrist, C.; Bartelt, L.A.; Nhampossa, T.; Massora, S.; Kotloff, K.; Levine, M.M.; Alonso, P.L.; et al. Molecular Diversity of Giardia duodenalis in Children Under 5 Years From the Manhiça District, Southern Mozambique Enrolled in a Matched Case-Control Study on the Aetiology of Diarrhoea. PLoS Negl. Trop. Dis. 2021, 15, e0008987. [Google Scholar] [CrossRef]
  35. Fletcher, S.M.; Stark, D.; Harkness, J.; Ellis, J. Enteric Protozoa in the Developed World: A Public Health Perspective. Clin. Microbiol. Rev. 2012, 25, 420–449. [Google Scholar] [CrossRef] [Green Version]
  36. Beser, J.; Bujila, I.; Wittesjö, B.; Lebbad, M. From Mice to Men: Three Cases of Human Infection with Cryptosporidium ditrichi. Infect. Genet. Evol. 2020, 78, 104120. [Google Scholar] [CrossRef]
  37. Cai, W.; Ryan, U.; Xiao, L.; Feng, Y. Zoonotic Giardiasis: An Update. Parasitol. Res. 2021, 120, 4199–4218. [Google Scholar] [CrossRef]
  38. Ryan, U.; Fayer, R.; Xiao, L. Cryptosporidium Species in Humans and Animals: Current Understanding and Research Needs. Parasitology 2014, 141, 1667–1685. [Google Scholar] [CrossRef] [Green Version]
  39. Zahedi, A.; Ryan, U. Cryptosporidium—An Update with an Emphasis on Foodborne and Waterborne Transmission. Res. Vet. Sci. 2020, 132, 500–512. [Google Scholar] [CrossRef]
  40. de Lucio, A.; Bailo, B.; Aguilera, M.; Cardona, G.A.; Fernández-Crespo, J.C.; Carmena, D. No Molecular Epidemiological Evidence Supporting Household Transmission of Zoonotic Giardia duodenalis and Cryptosporidium spp. From Pet Dogs and Cats in the Province of Álava, Northern Spain. Acta Trop. 2017, 170, 48–56. [Google Scholar] [CrossRef]
  41. Rehbein, S.; Klotz, C.; Ignatius, R.; Müller, E.; Aebischer, A.; Kohn, B. Giardia duodenalis in Small Animals and Their Owners in Germany: A Pilot Study. Zoonoses Public Health 2019, 66, 117–124. [Google Scholar] [CrossRef] [PubMed]
  42. Chen, F.; Huang, K. Prevalence and Molecular Characterization of Cryptosporidium spp. in Dairy Cattle from Farms in China. J. Vet. Sci. 2012, 13, 15–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Jian, F.; Liu, A.; Wang, R.; Zhang, S.; Qi, M.; Zhao, W.; Shi, Y.; Wang, J.; Wei, J.; Zhang, L.; et al. Common Occurrence of Cryptosporidium hominis in Horses and Donkeys. Infect. Genet. Evol. 2016, 43, 261–266. [Google Scholar] [CrossRef] [PubMed]
  44. Karim, M.R.; Zhang, S.; Jian, F.; Li, J.; Zhou, C.; Zhang, L.; Sun, M.; Yang, G.; Zou, F.; Dong, H.; et al. Multilocus Typing of Cryptosporidium spp. and Giardia duodenalis from Non-human Primates in China. Int. J. Parasitol. 2014, 44, 1039–1047. [Google Scholar] [CrossRef]
  45. Widmer, G.; Köster, P.C.; Carmena, D. Cryptosporidium hominis Infections in Non-human Animal Species: Revisiting the Concept of Host Specificity. Int. J. Parasitol. 2020, 50, 253–262. [Google Scholar] [CrossRef]
  46. Martínez-Ruiz, R.; de Lucio, A.; Fuentes, I.; Carmena, D. Autochthonous Cryptosporidium cuniculus Infection in Spain: First Report in a Symptomatic Paediatric Patient from Madrid. Enferm. Infecc. Y Microbiol. Clínica 2016, 34, 532–534. [Google Scholar] [CrossRef]
  47. Puleston, R.L.; Mallaghan, C.M.; Modha, D.E.; Hunter, P.R.; Nguyen-Van-Tam, J.S.; Regan, C.M.; Nichols, G.L.; Chalmers, R.M. The First Recorded Outbreak of Cryptosporidiosis Due to Cryptosporidium cuniculus (Formerly Rabbit Genotype), Following a Water Quality Incident. J. Water Health 2014, 12, 41–50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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MDPI and ACS Style

Köster, P.C.; González-Barrio, D.; Carmena, D. Editorial for the Special Issue: Diagnosis, Epidemiology and Transmission Dynamics of Cryptosporidium spp. and Giardia duodenalis. Pathogens 2022, 11, 141. https://doi.org/10.3390/pathogens11020141

AMA Style

Köster PC, González-Barrio D, Carmena D. Editorial for the Special Issue: Diagnosis, Epidemiology and Transmission Dynamics of Cryptosporidium spp. and Giardia duodenalis. Pathogens. 2022; 11(2):141. https://doi.org/10.3390/pathogens11020141

Chicago/Turabian Style

Köster, Pamela C., David González-Barrio, and David Carmena. 2022. "Editorial for the Special Issue: Diagnosis, Epidemiology and Transmission Dynamics of Cryptosporidium spp. and Giardia duodenalis" Pathogens 11, no. 2: 141. https://doi.org/10.3390/pathogens11020141

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