Skip to main content

Successful experimental infant baboon model for childhood cryptosporidiosis studies



Cryptosporidiosis causes high morbidity and mortality in children under 2 years of age globally. The lack of an appropriate animal model that mimics the pathogenesis of disease in humans has hampered the development and testing of potential therapeutic options. This study aimed to develop and validate an infant baboon infection model of cryptosporidiosis.


Eighteen immunocompetent weaned infant baboons aged 12 to 16 months were used. The animals were n = 3 controls and three experimental groups of n = 5 animals each inoculated with Cryptosporidium parvum oocysts as follows: group 1: 2 × 104, group 2: 2 × 105, group 3: 2 × 106 followed by daily fecal sampling for oocyst evaluation. Blood sampling for immunological assay was done on the day of infection and weekly thereafter until the end of the experiment, followed by necropsy and histopathology. Statistical analysis was performed using R, SPSS, and GraphPad Prism software. Analysis of variance (ANOVA) and Bonferroni post hoc tests were used for comparison of the means, with p < 0.05 considered as a significant difference. Correlation coefficient and probit analysis were also performed.


In all experimental animals but not controls, the onset of oocyst shedding occurred between days 2 and 4, with the highest oocyst shedding occurring between days 6 and 28. Histological analysis revealed parasite establishment only in infected animals. Levels of cytokines (TNF-α, IFN-γ, and IL-10) increased significantly in experimental groups compared to controls.


For developing a reproducible infant baboon model, 2 × 104 oocysts were an effective minimum quantifiable experimental infection dose.

Graphic abstract


Cryptosporidiosis is an infectious disease caused by an apicomplexan oocyst-forming protozoan parasite, Cryptosporidium spp. [1, 2]. Besides the two main species of Cryptosporidium infecting humans, namely C. hominis (which infects humans only) and C. parvum (which infects both humans and bovines), other species such as C. suis, C. meleagridis, C. andersoni, C. felis, C. canis, C. muris, and C. baylei occasionally infect people as well [2, 3]. This enteropathogenic disease is associated with diarrhea in humans of all ages, but more severe in children under 2 years worldwide [4, 5]. This neglected zoonotic disease, with a typically underestimated prevalence of 2–12% in the developing world, has received little research attention, resulting in a limited understanding of its pathogenesis and less effective therapeutic solutions [3, 6]. Childhood cryptosporidiosis presents a huge disease burden in the developing world, causing morbidity and mortality, with possible long-term learning deficits, stunted growth, and impaired physical fitness in affected children [2, 6,7,8].

Transmission is by the fecal–oral route through direct contact with infected humans, animals, contaminated drinking water, or agricultural products [9]. Oocysts excreted in feces can remain infectious for up to 2 months [10]. This disease causes opportunistic infections in both immunocompetent and immunocompromised persons [5]. While the incidence of cryptosporidiosis varies throughout the year, high levels occur during the warm rainy months [8].

Despite numerous attempts to control Cryptosporidium infections, there have not been effective animal models that accurately mimic the disease in humans, as tools for testing newly developed or repurposed molecules for potential drugs that could effectively treat this condition [2, 7]. To better understand the disease, various animal models, mainly murine and porcine models, have been utilized [11]. The findings from these lower animal models, however, cannot be extrapolated to humans, since the disease pattern does not mirror that in humans due to the huge phylogenetic gap. Non-human primates, which are phylogenetically closer to humans, are therefore attractive as models for understanding this disease [7]. Indeed, previous studies in pigtailed macaques demonstrated that these non-human primates were good models of the disease [7]. Similarly, in another study involving a cross-sectional survey in captive baboons [12], C. hominis infection was detected mostly in infant baboons, confirming that baboon infants are susceptible to Cryptosporidium hominis infection and could be useful in the development of a reproducible experimental infection model of childhood cryptosporidiosis. However, there is no study showing dose-controlled Cryptosporidium infection in baboon infants. Thus, the main objective of this study was to validate and develop a reproducible infant baboon infection model of childhood cryptosporidiosis through a quantifiable Cryptosporidium dosage using Cryptosporidium parvum.


Selection of animals

Weaned immunocompetent infant baboons (n = 18) of both sexes (10 males and 8 females) aged between 12 and 16 months and weighing between 3.0 and 7.1 kg were recruited into the study. The sample size (n) was calculated using the power analysis equation n = 1 + 2C(s/d)2. The animals were screened and treated for enteric worms and diarrhea-causing bacteria, namely Shigella spp. and Salmonella spp., before inoculation with doses of Cryptosporidium parvum oocysts. They were then housed in cages that meet international standards in size and space based on the NIH Guide for the Care and Use of Laboratory Animals, eighth edition. Animals were fed commercial chow made by Unga Group Limited, based on our formulation, while water was given ad libitum. They were given fruits three times a week and provided with enrichment devices, which were changed weekly.

Isolation of Cryptosporidium oocysts

Cryptosporidium parvum oocysts used in this study were isolated by the floatation method and identified by acid-fast staining (modified Ziehl–Neelsen method) as described previously [7]. In this method, a lump of the fecal sample (about 1 g) was put into a container and 5 ml of distilled water was added, thoroughly mixed, then sieved into a beaker. The filtrate was then transferred into a 15 ml centrifuge tube and topped up with distilled water to 15 ml, then centrifuged at 1500 rpm for 10 min. The supernatant was discarded, and 5 ml of sucrose solution of specific gravity 1.27 was added and vortexed for 1 min. More sucrose solution was added to bring it to 15 ml, until a convex meniscus was formed. It was then covered with a coverslip and centrifuged at 1500 rpm for 10 min. The coverslip was then carefully removed and washed by sprinkling PBS on it into a glass beaker. The 15 ml tube was again topped up with sucrose solution until it formed a meniscus, covered with a coverslip, centrifuged for another 10 min at 1500 rpm, and oocysts were recovered as described earlier. This process was repeated three times to ensure the maximum recovery of oocysts. The resultant solution with recovered oocysts from the beaker was then put into a 15 ml tube, topped up with PBS, and centrifuged at 1500 rpm for 10 min. The supernatant was discarded and the resultant pellets were suspended in 1.5 ml PBS. One microliter of this solution was examined under a microscope to determine the number of oocysts in a 1 μl volume. This volume estimation for oocyst numbers was then used to constitute appropriate inoculation doses.

Inoculation of animals

All selected experimental animals (n = 18) were starved in the morning of inoculation, and the procedures were carried out under general anesthesia. This involved the administration of ketamine HCl at 10 mg/kg body weight mixed with xylazine 5%, injected intramuscularly. During this time, blood samples, temperature, and body weight measurements were taken. The animals were randomized to three experimental groups using sealed opaque envelopes. Quantified parasite doses were administered to the animals on the table according to the groups. The doses comprised three concentrations of the parasite: group 1: 2 × 104 (n = 5), group 2: 2 × 105 (n = 5), and group 3: 2 × 106 (n = 5). Group 4 comprised control animals (n = 3), which were given normal saline. Parasite dose administration was done through a thin tube pushed into the orogastric route and the parasite's oocysts delivered through a syringe connected to the tube and washed several times into the gastrointestinal tract. The animals were then returned to their cages and closely monitored until they recovered from the effects of anesthesia.

Stool sampling and oocyst quantification

Stool sampling for quantification of shed oocysts was done daily by placing a tray at the base of the cage, just below the animal. Part of freshly voided fecal matter was put in sealable vials and stored at four degrees (4 °C). Later, 100 g of each sampled stool was concentrated by formalin-ethyl acetate sedimentation and stained using the modified Ziehl–Neelsen method [7]. A 5 μl volume of the isolated oocysts was sampled, counted under a microscope (×400) and total numbers recorded.

DNA extraction from oocysts

Chromosomal DNA was extracted using the QIAamp DNA kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. Five microliters of pure oocysts was transferred into an Eppendorf tube and dissolved in 700 μl of ASL buffer of the DNA extraction kit. This was then exposed to five freeze/thaw cycles in liquid nitrogen and boiling water to disrupt oocyst walls. Afterward, 700 μl of ASL buffer was added into the sample tube and then the procedure, based on the instruction of the DNA extraction kit was followed.

Nested PCR amplification

PCR was carried out using a peqSTAR thermocycler (Peqlab, Erlangen, Germany) as described previously [13]. Briefly, 18S ribosomal RNA gene from Cryptosporidium genus (NCBI, Accession No. GQ259149.1) was amplified under the following conditions for analysis: 94 °C for 5 min, 35 cycles of 1 min at 94 °C, 1.30 min at 60 °C, 2 min at 72 °C (Cry18S-S2, 5′ GGTGACTCATAATAACTTTACGG 3′ as forward and Cry18S-As2, 5′ ACGCTATTGGAGCTGGAATTAC 3′ as reverse primers). This was followed by nested amplification of 35 cycles: 1 min at 94 °C, 1.30 min at 60 °C, 2 min at 72 °C and a final extension step of 10 min at 72 °C (Cry18S-S1, 5′ TAAACGGTAGGGTATTGGCCT 3′ as forward and Cry18S-As1, 5′ CAGACTTGCCCTCCAATTGATA3′ as the reverse. Aliquots of 20 ρM of each primer were added in a volume of 50 μl containing 20 mM (NH4)2 SO4, 75 mM Tris–HCl (pH. 8.8), 1 mM MgCl2, 0.2 mM dNTP mix, 1.2 units of thermostable DNA polymerase (Invitrogen, Mannheim, Germany), and 1 μl of the template (genomic DNA). The amplification products were subjected to electrophoresis on 1% agarose gel stained with ethidium bromide and visualized under a UV transilluminator. The expected PCR band size after nested PCR was approximately 240 bp.


The PCR bands were extracted from the agarose gel and purified then sequenced by Macrogen Co. Ltd. (Netherlands). The sequenced PCR fragment was then blasted at NCBI ( to identify the sequenced gene.

Blood sampling

Six milliliters of whole blood was collected from each animal on inoculation day and 7 days thereafter for processing blood cell count and cytokine assays. Blood was collected from femoral vein under anesthesia attained by intramuscular injection of a ketamine-xylazine mixture with ketamine HCl at a dosage of 10 mg/kg body weight and xylazine 5%. While 3 ml of the collected blood was processed for cell count, the other 3 ml were processed for serum, which was then stored at −20 °C. Cell counting was done using an automated differential cell counter (Coulter Ac·T 5diff CP, Beckman Coulter, Miami, FL, USA). Serum was separated from whole blood through centrifugation using a Jouan C422 centrifuge (LabCare America, FL, USA) at 1500×g for 10 min and then collected into a clean tube for storage.

Temperature and body weight

Body temperatures were recorded using a rectal thermometer (Hongwei Technology Co. Ltd, Hong Kong) inserted into the anal opening, while body weights were taken on a weighing balance. These were taken during the day of inoculation and weekly thereafter for the duration of the experiment.

Immunological analysis

From the serum of the collected blood samples, inflammatory cytokines TNF-α, IFN-γ, and IL-10 were analyzed using ELISA kits (human TNF-α kit, IFN-γ kit, and IL-10 kit; Thermo Fisher Scientific Ltd, Vienna, Austria) at acute phase day 14 and chronic phase day 49 for both control and experimental animals. A sandwich ELISA protocol was employed for detecting the presence and levels of the inflammatory cytokines TNF-α, IFN-γ, and IL-10. Briefly, Corning Costar 9018 low-bottom high binding ELISA plates (Thermo Fisher Scientific Ltd, Vienna, Austria) were coated with 100 μl of capture antibody. The plates were then sealed and incubated overnight at 4 °C. This was followed by washing the plates three times with washing buffer. After the last wash the plates were blocked with 100 μl of blocking buffer and incubated for 2 h at room temperature, then washed three times using washing buffer. Specific standards for TNF-α, IFN-γ, and IL-10 were diluted twofold with the 1× assay diluent. One hundred microliters of appropriate standard or 50 μl of serum (probe) were added to separate wells followed by incubation for 2 h at room temperature on a shaker. The plates were thereafter washed five times. The respective detecting antibodies were diluted with 1× assay diluent then 100 µl of this added into each well followed by incubation for one hour at room temperature while shaking. Thereafter the plates were washed five times and then 100 μl of streptavidin-peroxidase for IFN-γ (1:200) and avidin-HRP for IL-10 and TNF-α (1:200) were added into each well in appropriate plates followed by incubation for 30 min at room temperature. The wells were washed three times using washing buffer. One hundred microliters of TMB was added in each well then incubated for 15 min in the dark. Thereafter, 50 μl of the stop solution (2 N H2SO4) was added to all the wells. The plates were then read using an ELISA reader at 450 nm wavelength.

Postmortem and histological analysis

At the end of the experiment, animals were humanely sacrificed and tissues harvested for histological analysis. Tissues from the small intestine (ileum) and caecum were processed, sectioned at 4 µm using a rotary microtome (KD 2258, TED PELLA, Inc., CA, USA), and subjected to hematoxylin–eosin staining followed by microscopic analysis.

Statistical analysis

Various statistical software programs were used for statistical analysis: R Statistics version 3.5.1 (The R Foundation, Vienna, Austria); SPSS version 25 statistical software (IBM SPSS, NY, USA), and GraphPad Prism 5.0 (GraphPad Software, San Diego, CA, USA). ANOVA and Bonferroni post hoc tests were used for comparison of the mean number of oocysts shed and cytokine levels. Levels of significance were set at 95% CI with p < 0.05 considered a significant difference. The correlation coefficient (R-values) was used to compare the relationship between the number of oocysts shed and the lymphocytes produced during the establishment of an infection. Probit analysis was performed for the prediction of minimum dosage capable of causing an infection, using SPSS version 25 statistical software (IBM SPSS, NY, USA).


  1. (a)

    Clinical parameters

    1. (i)

      Stool texture, body weight, and temperature changes. Stool texture for experimental animals was either loose (stools spread on a surface), poorly formed (stools shaped up when shed but easily spread to touch), or well-formed (hard stools that remained firm to touch), with a few animals showing watery stools (fluid stools that run on a surface). All control animals produced well-formed stools. This study showed that there were no significant differences in temperature or body weight changes between or within the experimental groups and control groups (p > 0.05).

    2. (ii)

      Oocyst shedding and infection doses. In all experimental animals (oocysts doses: group 1; 2 × 104, group 2; 2 × 105, group 3; 2 × 106) but not controls, the onset of oocyst shedding occurred between days 2 and 4 (mean 36.7 ± 8.82, 50.0 ± 20.0, 25.0 ± 5.0; p = 0.56; respectively; Fig. 1) and continued throughout the experimental period, with the highest oocyst shedding consistently occurring between days 6 and 28 (mean 69.5 ± 9.3; 78.6 ± 9.7; 73.2 ± 6.7; p = 0.82, respectively). By day 30, the number of oocysts shed averaged to a constant of between 50 and 100 up to the end of the experiment. Thus, the acute phase of the experimental disease occurred between days 6 and 28, while the chronic phase began on day 30 and continued up to day 49 of the experiment.

      Fig. 1
      figure 1

      Plots of daily average oocyst shedding for the different doses using R Statistics version 3.5.1. In all experimental animals, the onset of oocyst shedding occurred between days 2 and 4 and continued throughout the experimental period, with the highest oocyst shedding occurring between days 6 and 28, indicating that the acute phase of the experimental disease occurred between days 6 and 28, while the chronic phase occurred from day 30 to the end of the experiment

    3. (iii)

      Oocyst shedding patterns between males and femalesThere were no significant differences between oocyst shedding patterns in males and females throughout the experimental period within and between infected groups (p > 0.05).

      Fig. 2
      figure 2

      Comparison of levels of pro-inflammatory and anti-inflammatory cytokines between experimental and control animals. a–c Showing levels of pro-inflammatory cytokines (TNF-α, IFN-γ) and anti-inflammatory cytokines (IL-10) in experimental groups compared to controls on day 14 and 49 post infection using GraphPad Prism 5.0. a Pro-inflammatory cytokine TNF-alpha increased (almost twofold) on day 14 as compared to day 49 in the experimental groups as parasite dosage increased. b Pro-inflammatory cytokine IFN gamma increased (almost twofold) on day 14 as compared to day 49 in the experimental groups as parasite dosage increased. c Anti-inflammatory cytokine IL-10 increased (almost twofold) on day 14 as compared to day 49 in the experimental groups as parasite dosage increased

      Fig. 3
      figure 3

      ad Comparison of parasite establishment within ileum and caecum epithelia of experimental and control animals. ad Demonstrates parasite establishment in a vacuole within the epithelia of ileum and caecum in only experimental animals and not the controls. Both a and b show the establishment of the parasite in the epithelial mucosa of the ileum and caecum in experimental animals, while c and d (controls) show normal ileum and caecum mucosa without parasite infection. a Photomicrograph of ileum section with oocysts embedded in mucosa lining (×1000). b Photomicrograph of caecum section with oocysts embedded in mucosa lining (×400). c Photomicrograph showing no oocysts in mucosa of normal ileum epithelia in controls (×400). d Photomicrograph showing no oocysts in mucosa of normal caecum epithelia in controls (×400)

  2. (b)

    Molecular typing of oocysts. Molecular analysis (PCR followed by sequencing and alignment of the data) confirmed that oocysts used to infect the experimental animals in this study were those of Cryptosporidium parvum.

  3. c)

    Lymphocyte levels. A comparison of mean absolute lymphocytes between experimental animals and controls, especially during infection establishment (days 2–4), the acute phase (days 6–28) and the chronic phase (days > 30), confirmed that lymphocytes increased in all experimental groups but not in the controls with a positive correlation between the lymphocytes and the number of oocysts shed on days 0, 7, 14, 21 and 28 for all the experimental groups (group 1, r = 0.82; group 2, r = 0.48; group 3, r = 0.43).

  4. (d)

    Immunological data (cytokines). Immunoassays revealed a significant increase in levels of pro-inflammatory cytokines (TNF-α, IFN-γ) and anti-inflammatory cytokines (IL-10) in experimental groups compared to controls on day 14 and 49 post-infection (p < 0.01) (Fig. 2a–c). This increase in inflammatory cytokines corresponded to an increase in the parasite dosage used for infection. It became evident that among the experimental groups, the levels of these cytokines were higher on day 49 compared to levels on day 14 post-infection (almost twofold). The observed significant increase in pro-inflammatory cytokines TNF-α and IFN-γ corresponded to an upsurge in anti-inflammatory cytokine, IL-10 as parasite dosage increased in the experimental groups (Fig. 2a–c).

  5. (e)

    Postmortem and histopathological data. Postmortem results showed signs of possible parasite infection only in experimental animals and not in the controls. These included swollen mesenteric lymph nodes and spleen follicular hyperplasia; enlarged adrenal glands; blood vessel congestion in the colon, ileum, kidney, and brain; vanish gray hepatization with multiple focal fibrosis in the liver, a case of suspected hepatocystis. The possibility of parasite (C. parvum) infection was indeed confirmed by histological data which revealed parasite establishment in the ileum and caecum epithelia in experimental animals but not in the controls (Fig. 3a–d).

  6. (f)

    Prediction model for minimum infective dosage. Using our data, the minimum hypothetical predictive infective dose (ID) for 50% (ID50) required to cause an infection, was calculated through a probit statistical model and found to be 25 oocysts.


This study established a reproducible infant baboon model for childhood cryptosporidiosis studies using isolates of Cryptosporidium parvum. Various parameters supporting this model were evaluated including oocyst shedding, body weight and temperature changes, stool texture, lymphocytes, cytokines, postmortem observations, and histopathology. Herein, we compare our findings with those in humans, rhesus monkeys, and mice, which further confirms our model.

Clinical observation showed that stool texture for our experimental animals was either loose, poorly formed, or well-formed, with a few animals showing watery stools. All control animals produced well-formed stools. Similar observations exist in human and rhesus monkeys, where diarrhea was an indication but did not necessarily predict infection [14]. These findings contrast with those in mice, which do not show any clinical signs [7, 15].

In this study, there were no significant differences in temperature or body weight changes between or within the experimental groups, as observed in humans and rhesus monkey studies [7, 14].

In our study, all three different dosages established an infection, indicating that a lower dosage of 2 × 104 oocysts was as effective as higher doses of 2 × 105 and 2 × 106. This low infective dosage was lower than the 2 × 105 reported in rhesus monkeys [7]. Though not done in this study, it is possible that an even lower dosage of < 2 × 104 oocysts could also have established infection. Indeed, the minimum hypothetical infective dose (ID) for 50% (ID50) required to cause an infection in a study, derived from a Probit statistical model, is 25 oocysts, which is closer to the 10–50 oocysts reported in rhesus monkeys [7] but far less than the LD50 of 79 oocysts for mice [15].

As to whether the risk of infection is gender-based, it was clearly demonstrated that oocyst shedding patterns were similar between male and female baboons within and between infection groups. This finding has been reported consistently in humans, where the risk of contracting Cryptosporidium was insignificant between sexes [14], but such comparisons had not been demonstrated in rhesus monkeys [7].

The onset of oocyst shedding in all experimental animals but not controls between days 2 and 4, with the highest oocyst shedding occurring between days 6 and 28, considered as the acute phase of the disease in this study, is similar to observations in humans and rhesus monkey studies, where infection is established in 3–7 days and oocyst shedding continues for 3–4 weeks independent of the dosage [7, 16,17,18]. However, this is in contrast to mice, in which oocyst shedding occurs on day 6 post-inoculation and lasts for only 5–12 days [5, 19].

As expected, experimental animals, and not the controls, showed oocyst embedding onto the epithelial mucosa of both the caecum and ileum, as demonstrated in other studies in mice and humans, where oocysts were observed to embed onto the epithelial lining of the duodenum, jejunum and ileum [20, 21].

Analysis of lymphocytes indicated a positive correlation with the number of oocysts shed as shown on days 0, 7, 14, 21, and 28 for all the experimental groups. The increase in the number of lymphocytes relative to the increase in shed oocysts indicated a successful Cryptosporidium infection. This is similar to humans but has not been evaluated in rhesus monkeys and mice [16, 17].

The pro-inflammatory cytokines TNF-α and IFN-γ are good indicators of the establishment of parasite infection in most apicomplexan protozoan infections, similar to what would be observed in Plasmodium spp. in malaria and Toxoplasma gondii in toxoplasmosis [22]. The significant increase in pro-inflammatory cytokines TNF-α and IFN-γ observed in our current study suggests a Th1 immune response at play. This upregulation of TNF-α and IFN-γ can be interpreted as either enhancing protection against Cryptosporidium or rather causing tissue inflammation and is corroborated by tissue pathology from histology sections, which demonstrated the presence of parasite on the epithelium of both ileum and caecum of only experimental animals but not the controls. The observed rise in IL-10 levels is indicative of the body’s attempt at regulating the pro-inflammatory cytokines to bring about the balance of interplay between innate and adaptive immune response. Furthermore, elevation in levels of cytokines (TNF-α, IFN-γ, and IL-10) in experimental animals but not in the control animals corresponds to a study on humans [23] and also corroborates the histological analyses, confirming the establishment of Cryptosporidium infection in the experimental animals and not the controls. Indeed, the increase in these cytokines also corresponded to an increase in the number of Cryptosporidium oocysts shed in the experimental animals.

In addition, the pathologies observed in experimental animals during postmortem results in our study indicated tissue inflammation/swelling, which may be partly explained by immune reactions elicited by the infection [24, 25] as well as possible modulated immunity due to gut microbiome imbalance possibly resulting from the presence of Cryptosporidium in the gut. All these may have contributed to a cytokine storm elicited by the infection, leading to the observed global organ pathologies [26].


The series of experiments conducted in this study resulted in the establishment of a reproducible infant baboon infection model with an effective minimum infection dose of 2 × 104 oocysts of Cryptosporidium parvum. This experimental model is a useful tool for studying the pathogenesis of childhood cryptosporidiosis.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.



Phosphate-buffered saline


Deoxyribonucleic acid


Polymerase chain reaction


Adenylosuccinate lyase


Ribonucleic acid


National Center for Biotechnology Information




Base pairs


Enzyme-linked immunosorbent assay




Analysis of variance


Statistical Package for the Social Sciences


Tumor necrosis factor-alpha


Interferon gamma




  1. Leitch GJ, He Q. Cryptosporidiosis—an overview. J Biomed Res. 2011;25:1–16.

    Article  Google Scholar 

  2. Shirley Debbie-Ann T, Moonah SN, Kotloff KL. Burden of disease from Cryptosporidiosis. Curr Opin Infect Dis. 2012;25:555–63.

    Article  CAS  Google Scholar 

  3. Baamaiyi PH, Redhuan NEM. Prevalence and risk factors for cryptoaporidiosis: a global, emerging, neglected zoonosis. Asian Biomed. 2016;10:309–25.

    Article  Google Scholar 

  4. Current WL, Garcia LS. Cryptosporidiosis. Clin Microbiol Rev. 1991;4:325–58.

    Article  CAS  Google Scholar 

  5. Sharma P, Sharma A, Sehgal R, Malla N, Khurana S. Genetic diversity of Cryptosporidium isolates from patients in North India. Int J Infect Dis. 2013;17:e601–5.

    Article  CAS  Google Scholar 

  6. Opintan JA, Newman MJ, Ayeh-Kumi PF, et al. Pediatric diarrhea in southern Ghana: etiology and association with intestinal inflammation and malnutrition. Am J Trop Med Hyg. 2010;83:936–43.

    Article  CAS  Google Scholar 

  7. Miller RA, Bronsdon MA, Morton WR. Experimental Cryptosporidiosis in a primate model. J Infect Dis. 1990;161:312–5.

    Article  CAS  Google Scholar 

  8. Siwila J, Phiri IG, Enemark HL, Nchito M, Olsen A. Intestinal helminths and protozoa in children in pre-schools in Kafue district, Zambia. Trans R Soc Trop Med Hyg. 2010;104:122–8.

    Article  Google Scholar 

  9. Chappell CL, Okhuysen PC, Sterling CR, DuPont HL. Cryptosporidium parvum: intensity of infection and oocyst excretion patterns in healthy volunteers. J Infect Dis. 1996;173:232–6.

    Article  CAS  Google Scholar 

  10. Jokipii L, Jokipii AM. Timing of symptoms and oocyst excretion in human cryptosporidiosis. N Engl J Med. 1986;315:1643–7.

    Article  CAS  Google Scholar 

  11. Kváč M, Kestřánová M, Pinková M et al. Cryptosporidium scrofarum n. sp. (Apicomplexa: Cryptosporidiidae) in domestic pigs (Sus scrofa). Vet Parasitol. 2013;191:218–27

  12. Li W, Kiulia NM, Mwenda JM, et al. Cyclospora papionis, Cryptosporidium hominis, and human-pathogenic Enterocytozoon bieneusi in captive Baboons in Kenya. J Clin Microbiol. 2011;49:4326–9.

    Article  Google Scholar 

  13. Bairami KA, Rezaeian M, Zeraati H et al. A sensitive and specific PCR based method for identification of Cryptosporidium Sp. using new primers from 18S ribosomal RNA. Iran J Parasitol. 2011;6:4. Accessed 18 May 2021.

  14. Parsons MB, Travis D, Lonsdorf EV, et al. Epidemiology and molecular characterization of Cryptosporidium spp in humans, wild primates, and domesticated animals in the Greater Gombe ecosystem, Tanzania. PLoS Negl Trop Dis. 2015;10:e0003529.

    Article  Google Scholar 

  15. Finch GR, Daniels CW, Black EK, Schaefer FW III, Belosevic M. Dose response of Cryptosporidium parvam in outbred neonatal CD-1 mice. Appl Environ Microbiol. 1993;59:3661–5.

    Article  CAS  Google Scholar 

  16. DuPont HL, Chappell CL, Sterling CR, Okhuysen PC, Rose JB, Jakubowski W. The infectivity of Cryptosporidium in healthy volunteers. N Engl J Med. 1995;332:855–9.

    Article  CAS  Google Scholar 

  17. Chappel C, Okhuysen PC, Langer-Curry RC, et al. Cryptosporidium meleagridis: infectivity in healthy adult volunteers. Am J Trop Med Hyg. 2011;85:238–42.

    Article  Google Scholar 

  18. Okhuysen PC, Chappell CL, Sterling CR, Jakubowski W, DuPont HL. Susceptibility and serologic response of healthy adults to reinfection with Cryptosporidium parvam. Infect Immunol. 1998;66:441–3.

    Article  CAS  Google Scholar 

  19. Matsuo T, Tsuge Y, Umemiya-Shirafuji R, Fujino T, Matsui T. Adaptation and Immunogenecity of Cryptosporidium parvum to immunocompetent mice. Acta Parasitol. 2014;59:189–92.

    Article  CAS  Google Scholar 

  20. Hemphil A, Muller N, Muller J. Comparative pathobiology of the Intestinal protozoan parasites Giardia lamblia, Entamoeba hystolytica and Cryptosporidium parvum. Pathogens. 2019;8:1–22.

    Article  Google Scholar 

  21. Al-Warid HS, Al-Saqur IM, Mahmood SH. Histopathological changes in mice infected with Cryptosporidium spp. Int J Pharm Biol Sci. 2013;3:3. Accessed 18 May 2021.

  22. Nyariki JN, Mokaya D, Jillani NE, Nyamweya NO, Orina AI. Oral administration of coenzyme Q10 has the capacity to stimulate innate lymphoid cells class two during experimental cerebral malaria. South Asian J Parasitol. 2019;2:2. Accessed 18 May 2021.

  23. Pantenburg B, Dann SM, Wang H-C, et al. Intestinal immune response to human Cryptosporidium sp infection. Infect Immun. 2008;76:23–9.

    Article  CAS  Google Scholar 

  24. AboueL-Nour MF, El-Shewehy DMM, Hamada SF, Morsy TA. The efficacy of three medicinal plants: garlic, ginger and mirazid and a chemical drug metronidazole against Cryptosporidium parvum. I-immunological response. J Egypt Soc Parasitol. 2015;45(3):559–70.

    PubMed  Google Scholar 

  25. Lean IS, McDonald V, Pollok RC. The role of cytokines in the pathogenesis of Cryptosporidium infection. Curr Opin Infect Dis. 2002;15(3):229–34.

    Article  CAS  Google Scholar 

  26. Tisoncik JR, Korth MJ, Simmons CP, Farrar J, Martin TR, Katze MG. Into the eye of the cytokine storm. Microbiol Mol Biol Rev. 2012;76(1):16–32.

    Article  CAS  Google Scholar 

Download references


We thank Kenneth Waititu, Gift Katana, and Samson Mutura for the technical assistance. We also thank Abel Haro for statistical analysis.


This project was supported by a Grand Challenges Explorations grant from the Bill and Melinda Gates Foundation [Opportunity ID OPP1160347].

Author information

Authors and Affiliations



NEJ: Was involved in concept development, all experimental designs and execution, data analysis and interpretation, and played a major role in writing the manuscript. AN: Was involved in concept development, all experimental designs and execution, data analysis and interpretation, and played a major role in writing the manuscript. DCC: Was involved in concept development, all experimental designs and execution, histology data analysis and interpretation, and played a role in the manuscript writing. JNN: Was involved in immunological experimental design and execution, data analysis and interpretation, and was involved in the manuscript writing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ngalla E. Jillani.

Ethics declarations

Ethics approval and consent to participate

The experimental procedures were reviewed and approved by the Institute of Primate Research Scientific and Ethics Review Committee (ISERC) and the Institutional Animal Care and Use Committee (IACUC) for scientific soundness and animal welfare issues before commencement of the study (ISERC/13/16).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have 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 The Creative Commons Public Domain Dedication waiver ( 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

Jillani, N.E., Nyachieo, A., Chai, D.C. et al. Successful experimental infant baboon model for childhood cryptosporidiosis studies. Parasites Vectors 14, 316 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: