Cryptosporidiosis is a common cause of infectious diarrhea in young children worldwide, and is a significant contributor to under-five mortality. Current treatment options are limited in young children. In this study, we describe the natural history of Cryptosporidium spp. infection in a birth cohort of children in Bangladesh and evaluate for association with malnutrition.
This is a longitudinal birth cohort study of 392 slum-dwelling Bangladeshi children followed over the first two years of life from 2008 to 2014. Children were monitored for diarrheal disease, and stool was tested for intestinal protozoa. Anthropometric measurements were taken at 3-month intervals. A subset of Cryptosporidium positive stools were genotyped for species and revealed that C. hominis was isolated from over 90% of samples. In the first two years of life, 77% of children experienced at least one infection with Cryptosporidium spp. Non-diarrheal infection (67%) was more common than diarrheal infection (6.3%) although 27% of children had both types of infection. Extreme poverty was associated with higher rates of infection (chi-square, 49.7% vs 33.3%, p = 0.006). Malnutrition was common in this cohort, 56% of children had stunted growth by age two. Children with Cryptosporidium spp. infection had a greater than 2-fold increased risk of severe stunting at age two compared to uninfected children (odds ratio 2.69, 95% CI 1.17, 6.15, p = 0.019) independent of sex, income, maternal body-mass index, maternal education and weight for age adjusted z (WAZ) score at birth.
Diarrheal disease is a leading cause of death in young children worldwide. Cryptosporidium species are responsible for a large proportion of global burden of diarrhea. This study describes the natural history of cryptosporidiosis in a birth cohort of impoverished Bangladeshi children. Children were enrolled at birth and monitored for diarrhea twice a week for two years. Stool samples were tested for enteric protozoa. Children in this cohort had significant rates of malnutrition compared to the W.H.O. reference population, and extreme poverty was common. A majority of children were infected with Cryptosporidium spp, and we found that children who had at least one infection with Cryptosporidium spp during the two year follow up period were significantly more likely to have growth faltering by age 24 months. Cryptosporidiosis is a common infection in this cohort, and is associated with poverty and reduced growth during the first two years of life.
Citation: Korpe PS, Haque R, Gilchrist C, Valencia C, Niu F, Lu M, et al. (2016) Natural History of Cryptosporidiosis in a Longitudinal Study of Slum-Dwelling Bangladeshi Children: Association with Severe Malnutrition. PLoS Negl Trop Dis 10(5): e0004564. https://doi.org/10.1371/journal.pntd.0004564
Editor: Gagandeep Kang, Christian Medical College, INDIA
Received: August 8, 2015; Accepted: March 1, 2016; Published: May 4, 2016
Copyright: © 2016 Korpe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The data used for analyses in this manuscript are derived from a clinical study and are de-identified but sharing of the individual-level data with an external bona fide third party investigator will require the investigator to sign a data use agreement per local IRB and Bangladesh Ethics Board regulations (Section 3, PLoS Policies). Investigators making such requests will be required to adhere to the data use agreement and to preserve participant confidentiality. The investigator is not permitted to share data with any other person or investigator without explicit prior approval. Data agreements can be guaranteed for any qualified researcher upon reasonable request. Please contact Dr. Uma Nayak to obtain permission to access data (Center for Public Health Genomics, University of Virginia Phone: 434-982-3749, email:firstname.lastname@example.org).
Funding: This work was funded by: 1) National Institutes of Health, Allergy and Infectious Disease K23AI108790-0. PI: PSK. http://www.niaid.nih.gov/Pages/default.aspx; 2) National Institutes of Health, Allergy and Infectious Disease AI043596-16. PI: WAP http://www.niaid.nih.gov/Pages/default.aspx; and 3) The Sherrilyn and Ken Fisher Center for Environmental Infectious Diseases Discovery Program. PI: PD. http://www.hopkinsmedicine.org/Medicine/id/funding_our_future/fisher_fund.html. The funders had no role in the study design, data collection and data analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Diarrheal disease is the second leading cause of death in children under age five worldwide, with cryptosporidiosis estimated to be second only to rotavirus as the leading cause of moderate-to-severe diarrhea [1–3]. Cryptosporidium spp. are enteric protozoa, with 26 described species, but C. hominis and C. parvum most commonly infect humans [4,5]. Infection is characterized by profuse, watery diarrhea. Disease is self-limited in immune-competent adults, but can be associated with fulminant disease in immunocompromised patients and young children. Cryptosporidium infection has been associated with longer duration of diarrhea and 2–3 times higher mortality in young children [6,7].
Risk factors for cryptosporidiosis relate to the host, environment, and the species of the parasite. Immune-compromised adults, including those with HIV/AIDS or on immunosuppressive drugs, are at increased risk [8–10]. Young children, especially those with malnutrition, are more vulnerable, presumably due to lack of acquired immunity, however the biological mechanism is not clear [11–16]. In a child cohort in Bangladesh, almost 40% of children were infected with Cryptosporidium in the first year of life . Breastfeeding and breast milk IgA have been identified as protective factors [15–17]. Host genetic susceptibility is also implicated as Cryptosporidium infection has been associated with HLA class II alleles and polymorphisms in the mannose binding lectin gene [18–19].
Environmental risk factors can be species specific, and include prolonged contact with domestic animals [20–22], overcrowded living conditions [23–26] and household contact with young children [12, 22, 27]. Sporadic epidemics have been reported in relation to contaminated water sources . Livestock serve as an environmental reservoir for C. parvum, and transmission has been reported after direct contact with animals or drinking water contaminated by human or animal waste . In contrast, humans are the only major reservoir for C. hominis, and transmission is related to person-to-person contact, thus urban settings and overcrowding have been associated with C. hominis . In contrast to other enteric diseases, household income has not been reported to be a protective factor, and in one study was even associated with increased risk of infection [29,30]. Malnutrition has been identified as a risk factor for infection, and may potentiate adverse impact from infection . Furthermore, studies from Brazil and Peru have noted short-term growth faltering after infection [31,32]. The relationship between cryptosporidiosis and malnutrition is complex and poorly understood.
In this study we describe the natural history of cryptosporidiosis in a peri-urban slum community near Dhaka, Bangladesh, over the first two years of life, a critical period for childhood growth and development . Additionally, we identify risk factors in an endemic region, describe genetic diversity of the parasite, and test for contribution of infection on growth faltering in this population.
The subjects studied were part of a community-based prospective cohort study of enteric infections in infants from a peri-urban slum of Mirpur, near Dhaka, Bangladesh from 2008 to 2014 [14,15]. Infants were enrolled at birth and actively monitored in their homes for diarrheal disease by twice-weekly visits of trained field research assistants. Study size was determined by estimates of diarrheal disease in this region and an estimated 10% annual loss to follow up . Data on the subjects’ clinical symptoms were collected by interview of mothers. Diarrhea was defined as greater than three loose stools per day as reported by the mother.
Anthropometric measurements, consisting of length and weight, were taken once every three months. Each child was weighed on an electronic scale (Digital Baby & Toddler Scales, Seca 354). The length of the children was measured to the nearest centimeter (Infantometer Baby Board, Seca 416). Nutritional status was assessed by comparing weight and height with the weight and height of the World Health Organization (W.H.O.) reference population of the same age and sex, using W.H.O. Anthro software, version 3.0.1 .
Surveillance stool samples were collected from each subject once a month. Additionally, when diarrhea was reported by the mother, a diarrheal stool sample was collected. Both diarrheal and monthly stool samples were tested for Cryptosporidium species by real-time polymerase chain reaction. Cryptosporidium spp. infection was quantitated by qPCR, threshold cycle (Ct). A Cryptosporidium diarrheal infection was defined by a child having a diarrheal stool positive with a negative preceding surveillance stool, and a Cryptosporidium asymptomatic or non-diarrheal infection was defined by a child having a surveillance stool test positive.
All stool samples were tested for Cryptosporidium species by real-time polymerase chain reaction.
DNA Extraction was performed by a modified QiaAmp stool DNA extraction protocol which incorporates a three-minute bead-beating step to lyse Cryptosporidium oocysts (Qiagen, Valencia, CA) . Cryptosporidium positive samples were detected using an assay previously described by our group that targets the Cryptosporidium Oocyst Wall Protein (COWP) . COWP positive samples were further genotyped by the polymorphic region within the gp60 gene using primers and conditions previously described [36,37] but with the modification that the amplifications were done using the MyFi (Bioline, Taunton, MA) with an activation 94°C for 5 min followed by 40 cycles in the primary PCR (94°C, 30 sec; 45°C, 55 sec; 72°C, 60 sec) with a final extension of 10min at 72°C. In the secondary PCR the cycling conditions  were (94°C, 30 sec; 55°C, 30 sec; 72°C, 30 sec) with a final extension of 10 min at 72°C.
Phusion high fidelity polymerase (ThermoFisher Scientific Inc, Waltham, MA) was used in a final PCR to add sequencing primer binding sites . As necessary for the Phusion enzyme the activation step was at 98°C, 20 sec was followed by 34 cycles (98°C, 10 sec; 60°C, 20 sec; 72°C, 20 sec) with a final extension of 10min at 72°C. The QIAquick PCR purification kit was then used as per manufacturer’s instructions (Qiagen, Valencia, CA) to purify the amplicon. This was then sequenced by a contract research organization (GENEWIZ, South Plainfield, NJ) using standard protocols and the sequencing primers IS5 (AATGATACGGCGACCACCGA) or IS6 (CAAGCAGAAGACGGCATACGA).
The resulting sequences were then trimmed and aligned to the gp60 reference sequence (Genbank Accession Numbers HQ631408, AY738187, AY738192, AY738184 and AF440638) using the Geneious Program (R7) (Biomatters, NZ). Consensus phylogeny was inferred from 500 bootstrap replicates to build a neighbor-joining consenus tree, and based on the Tamura-Nei model, the Nearest Neighbor method and the Geneious Program (R7). Branches that produced in fewer than 50% of the bootstrap phylogenies were collapsed.
Differences in demographic factors between infected and uninfected children were assessed using two-sample t-test and chi-square according to exposure status (no Cryptosporidium infection, any type of Cryptosporidium infection, diarrheal Cryptosporidium infection, and exclusively non-diarrheal Cryptosporidium infection). Family monthly income (expressed in Bangladeshi Taka or BDT) below 6000 BDT/month was defined as “extreme poverty” based on the World Bank’s definition of less than 1.25 international dollars per person per day . Anthropometric measures (height-for-age adjusted z-score or HAZ; weight-for-age adjusted z-score or WAZ; weight-for-height adjusted z-score or WHZ) were evaluated both as continuous and categorical variables. HAZ score at 24 months was used as the outcome in the final analyses evaluating nutrition, as HAZ is most representative of chronic malnutrition . For all analyses evaluating malnutrition, we excluded children who fell into the bottom 2.3% of HAZ scores at birth (HAZ < -3.49), per WHO Global Database on Child Growth and Malnutrition guidelines . Based on our cohort’s distribution of anthropometric indices, we classified children into four categories: 1) HAZ > -1; HAZ < = -1 and > -2 (mild stunting); HAZ < = -2 and >-3 (moderate stunting); and HAZ < = -3 (severe stunting).
To determine the time to first diarrheal and time to first asymptomatic Cryptosporidium infection, we performed Kaplan Meier survival analysis separately. All children who completed 24 months in the study were included, and those children without a Cryptosporidium infection within the first 24 months were censored at this time point. The probability of growth impairment at 24 months of age was evaluated using univariate and multivariable logistic regression with the categorized HAZ at 24 months as a polynomial response. Potential confounding variables including sex, family income, maternal body-mass index, maternal education, and WAZ at birth were adjusted in the multivariable analysis. Statistical significance was considered if p <0.05. Analyses were performed in Stata v.10 (Statacorp, USA). Comparison of Cryptosporidium quantitation in stool (threshold cycle) to severity of clinical infection was performed using the Kruskal Wallis test.
The study was approved by the Institutional Review Board of the University of Virginia and the Research and Ethical Review Committees of the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b). Informed written consent was obtained from parents or guardians for the participation of their child in the study.
From 2008 to 2014, we followed 392 children from birth to 24 months of age. In this cohort, fifty-five percent of children were male. The median number of family members per household was 5, with range from 2 to 18. During the follow up period, there were 990 episodes of diarrhea in the first year of life (2.5 episodes of diarrhea/child), and 763 episodes in the second year of life (1.9 episodes of diarrhea/child). Over this time, 1712 diarrheal stools and 9231 surveillance stools were collected. In year one, 5.6% of all diarrheal episodes were positive for Cryptosporidium spp. and in year two 9.0% of diarrheal episodes were Cryptosporidium spp. positive (Fig 1). Mean age of onset for Cryptosporidium diarrhea was significantly greater than non-Cryptosporidium diarrhea (T-test, 13.9 months vs 11.3 months, p< 0.001). Forty-six percent of households were considered to be of “extreme poverty,” which is a higher rate than the Bangladesh national average of 31.5% . Comparison of demographic factors between the 392 children who completed follow up with 237 children who were lost to follow up revealed no significant difference in gender (55% male vs 49%, chi square, p = 0.144), mean HAZ at birth (-0.96 sd 1.16 vs -0.9 sd 1.03, t-test, p = 0.513), and mean family income (6789.7 BDT sd 3049.0 vs 7092.4 BDT sd 4140, t test, p = 0.294).
The x-axis represents the child’s age in months, and the y-axis represents total number of diarrheal episodes per age-month. The dark blue segment represents number of total diarrheal episodes, and the light blue segment represents the proportion of diarrheal episodes per month that test positive for Cryptosporidium species. In each month, the total possible number of children included is 392. Cryptosporidium infection makes up a very small portion of the total burden of diarrhea in our cohort.
By the end of the follow up period, 302 children (77.0%) experienced at least one infection associated with Cryptosporidium spp and of these, 100 (25.5%) children had at least one diarrheal infection and 283 (72.2%) children had at least one asymptomatic or non-diarrheal infection. A majority of Cryptosporidium detections were from non-diarrheal stools (Fig 2).
The x-axis represents age of the child in months, and the y-axis represents total number of infected children per age-month. The solid-segment represents number of children with asymptomatic Cryptosporidium infection, and the lined-segment represents number of children with diarrhea from Cryptosporidium infection. In each month, the total possible number of children included is 392. A child who had both a diarrheal and asymptomatic stool positive in the same month was counted as having Cryptosporidium diarrhea. This figure demonstrates peaks of diarrheal Cryptosporidium infection at 10 and 17 months of age, and peaks of asymptomatic infection at 10–13 and 17 months of age.
Cryptosporidium spp. infection was associated with a higher parasite burden in diarrheal disease, as Cryptosporidium positive diarrheal samples had lower CT values (median 33.35, interquartile range 6.8) than positive surveillance samples (median 35.50, interquartile range 5.6), (Kruskal Wallis, chi-square, p <0.0001). Of the 302 children with cryptosporidiosis during the two year follow up, 102 children had a second infection, 13 children had a third infection, and 3 children had 4 total episodes of cryptosporidiosis. There was no evidence of a decreasing parasite burden with repeated infection, as measured by threshold cycle (Wilcoxon test, paired between median Ct value of first vs second infection, 33.70 (IQR 6.6) vs 34.50 (IQR 7.2), p = 0.96; paired between median Ct value of second vs third infection, 34.50 (IQR 7.2) vs 35.40 (IQR 4.3) p = 0.62).
Risk factors for Cryptosporidium infection
Table 1 summarizes demographic characteristics of children who became infected with Cryptosporidium spp. during the first 24 months of life. A higher proportion of Cryptosporidium-infected children came from extreme poverty (monthly income <6000 BDT/month) (chi-square p = 0.006). We found no association between increased risk of Cryptosporidium infection and HAZ at birth (p = 0.89), presence of an animal in the house (chi-square, p = 0.57), or family size (chi-square, p = 0.44).
Seventeen percent of children (68/392) met W.H.O. guidelines for moderate stunting (height-for-age adjusted z-score less than -2) at birth. By age two, 29.6%, 35.7%, and 21.1% of children met W.H.O. criteria for mild, moderate, and severe stunting, respectively. Over the first two years of life, the mean height-for-age adjusted z-score in this cohort fell consistently below the W.H.O. reference population. Fig 3 shows the steady decline in HAZ from birth to 24 months of age.
Survival analysis for diarrheal and non-diarrheal infection
Fifty-percent of children had at least one non-diarrheal Cryptosporidium infection by 16 months of age, and 25% of children had a symptomatic infection by 2 years of age. The hazard ratio of an asymptomatic infection did not differ by sex (HR = 1.12, 95% CI 0.89. 1.42, p-value = 0.315) but was decreased for individuals with higher family income (HR = 0.74, 95% CI 0.58, 0.93, p-value = 0.011). The hazard ratio remained consistent for the symptomatic diarrheal infections.
There was no significant difference in time to first asymptomatic or diarrheal infection (Fig 4). However, children who had both diarrheal and asymptomatic infections during the 24-month follow up period were infected at an earlier age (HR = 1.74, 95% CI 1.34, 2.27, p-value < 0.0001).
There was no significant difference between timing of first asymptomatic versus symptomatic Cryptosporidium infection (HR 0.68, 95% CI 0.42, 1.09, p = 0.11). However, children who went on to develop both symptomatic and asymptomatic infection did get infected earlier in life (HR = 1.74, 95% CI 1.34, 2.27, p < 0.0001).
Cryptosporidium genotypic diversity
A subset of diarrheal and surveillance stool samples (n = 238) testing positive for Cryptosporidium spp. were further typed by gp-60. C. hominis was the sole Cryptosporidium species in 92.4% of samples (n = 220) and C. parvum was the sole species identified in 3.4% (n = 8). In only five cases did we observe a mixed infection of C. hominis and C. parvum. C. hominis positive samples were further subtyped and the distribution of gp 60 alleles found in our study population was 1a (17.3%); 1b (21.4%); 1d (13.9%); 1e (40.5%); 1f (7.0%). Of these sequences, one hundred and one samples were of sufficient quality to subtype by multiple sequence alignment with GenBank reference sequences and phylogenetic analysis (Fig 5). In contrast to other molecular epidemiologic studies there was no gp60 subtype diversity within our population (Ia, A14R1; Ib, A9G3R2; Id, A15G1; Ie, A11G3T3; If, A13G1) (32).
Risk factors for growth faltering at 24 months
Using logistic regression, we observed that children with linear growth faltering at 24 months had a greater than 2-fold increased odds of experiencing any type of Cryptosporidium spp. infection during the first two years of life compared to non-stunted children (Table 2). The associated risk of Cryptosporidium spp. infection increased with the severity of stunting, and children with severe stunting at 24 months had a 2.69 times increased odds of Cryptosporidium infection (Table 2). The association of stunting and linear growth faltering at 24 months was present for both non-diarrheal “asymptomatic” and symptomatic Cryptosporidium spp. infections (Table 2). Stunting was associated with increased odds of infection even after adjusting for income, gender, maternal BMI, maternal education, days of exclusive breastfeeding, and nutritional status at birth. When we considered HAZ at 24 months as a linear variable, the association with Cryptosporidium was further supported in an adjusted model (linear regression, b = -0.33, 95% CI -0.57, -0.08, p = 0.0009). Furthermore, there was additive impact of each additional infection on HAZ at 24 months (linear regression, b = -0.18, 95% CI -0.24, -0.026, p = 0.02).
Polytomous logistic regression was used to assess for risk of Cryptosporidium infection by level of linear growth faltering at 24 months. Children were categorized by HAZ at 24 months: mild stunting HAZ < = -1 and > -2 (n = 111); moderate stunting HAZ < = -2 and >-3 (n = 131); severe stunting HAZ < = -3 (n = 72). Each group was tested against children with HAZ > -1 at 24 months (n = 51). Children with extreme stunting at birth (HAZ < -3.49) were excluded (n = 10). Confounding variables were included in the model.
Among Cryptosporidium spp. infected children, the mean 24-month HAZ was significantly lower in children from households with lower monthly income (t-test, p = 0.0053). Among those from higher income households, Cryptosporidium spp. infected children had lower 24-month HAZ scores compared to uninfected children (t-test, p = 0.016). Additionally, there was no association between number of diarrheal episodes over the first 24 months of life and 24-month HAZ score (S1 Table).
In an urban slum in Bangladesh, we followed 392 children from birth to age two years of life. In this cohort, extreme poverty and malnutrition were common, affecting almost half of all households and half of enrolled children. Fifty-six percent of children met W.H.O criteria for moderate stunting at age two, which is higher than the reported rate of under-five stunting across South Asia (40.7%) . Cryptosporidium spp. infection affected 77% of children in this cohort. Interestingly, we identified a larger number of asymptomatic infections than diarrheal infections. Potentially, this is due to consistent monthly surveillance sample collection and use of qPCR for diagnosis, rather than microscopy or antigen detection. In a birth cohort in India, Sarkar et al also reported a higher rate of asymptomatic than diarrheal Cryptosporidium infection .
In the current study, poverty was associated with Cryptosporidium infection, with children in households with more income less likely to have cryptosporidiosis. Based on gp-60 genotyping, we identified a predominance of C. hominis isolates in this cohort, which is consistent with other reports from the South Asian subcontinent [41–44]. Previously described risk factors for cryptosporidiosis in children include close contact with domesticated animals [20–22], crowded living conditions [12,25,26], and malnutrition [12,14]. We did not find the same association between domesticated animals and infection, likely because C. hominis predominated in our study population, and spread is anthroponotic. Additionally, we hypothesize that lower household income is related to overcrowding, and overcrowding is associated specifically with C. hominis infection . Our study was not able to measure level of overcrowding in households, but median household size was 5, with a range of 2 to 18 persons per home, and this figure was not significantly different between groups. We did evaluate malnutrition and subsequent Cryptosporidium infection, however, there was no significant association. This was likely due to our study design that enrolled children from birth. We excluded children with extreme stunting at birth, as we were interested in controlling for peri-natal factors that may have led to stunting at birth and not potential maternal or prenatal factors. In non-birth cohort designed studies it would be difficult to differentiate between children stunted at birth and those who developed stunting perinatally.
One of the most significant findings of this study was the predisposition towards linear growth faltering that occurred in Cryptosporidium spp infected children. While malnutrition at birth did not predispose to Cryptosporidium spp infection, children who had at least one Cryptosporidium spp infection in the first two years of life had significantly worse nutritional status at 24 months, independent of income and maternal factors, suggesting that Cryptosporidium spp infection is associated with downstream growth faltering. Notably, both diarrheal and non-diarrheal infections were associated with subsequent stunting. This is supported by prior studies from Peru that have shown that children with asymptomatic and symptomatic Cryptosporidium spp infection had less weight gain in the first month of infection , but in contrast to the Peruvian studies, we found that children infected by Cryptosporidium even after 6 months of age, do not have “catch up growth” and once infected, are on a trajectory to growth stunting .
Our findings suggest that even a single Cryptosporidium spp infection at any point in the first two years of life, whether diarrheal or non-diarrheal, can be detrimental to a child’s physical development, resulting in impaired growth at age two. Therefore, we propose that malnutrition, rather than diarrhea, should be considered the most important outcome of Cryptosporidium spp infection in children. We have shown that non-diarrheal Cryptosporidium spp infection is widely prevalent in this cohort. The mechanism between non-diarrheal infection and malnutrition requires further study. Cryptosporidium infection has been associated with increased inflammation of the gut and loss of villus architecture  and murine models suggest that immune signaling in the gut may be disrupted resulting in enteropathy and poor growth .
Our study is limited in that we did not assess for multiple enteric pathogens. However, the aim of our study was to describe the total burden of Cryptosporidium infection in this cohort, rather than ascribe etiologies of diarrhea. Previous studies in this area have found that children may carry four or more pathogens in any given stool specimen . It is possible that the presence of other enteric infections, or even other disease processes that were not evaluated in this study (e.g. acute respiratory infections) contribute to stunting. However, in this study we did not find a relationship between total burden of diarrhea and HAZ at 24 months. Therefore, we would argue that it is the presence of enteric infection, rather than the phenotype of diarrhea, that is contributing to stunting.
Based on our findings, future studies of cryptosporidiosis should aim to further study genotypic differences. We have demonstrated that in our cohort with C. hominis predominance, risk factors for infection are significantly different than in other populations with potentially different species. This may also impact means of transmission of infection. And beyond the species level, there may be additional clinical and immunologic differences between different subtypes of C. hominis that have not yet been described. Further studies of Cryptosporidium spp. genotyping will be important for informing strategies for prevention and treatment.
We have demonstrated that poverty, malnutrition, and Cryptosporidium spp. infection remain intricately connected. Worldwide, an estimated 178 million children under 5 suffer from stunted growth  and stunted growth in the first two years of life leads to irreversible damage, contributing to poor cognitive development, poor educational performance, and reduced earning potential in adulthood, trapping individuals in a lifetime of poverty [49,50]. Therefore, in populations like the Mirpur cohort, where cryptosporidiosis is found in 80% of children less than two years of age, tackling strategies for interrupting spread of infection, vaccination, and treatment, may have a staggering impact on human potential. Elimination of cryptosporidiosis may be one important step towards improving the condition of impoverished children around the world.
We would like to thank the families and children of Mirpur for participating in this study.
Conceived and designed the experiments: RH CG PSK WAP. Performed the experiments: CG SEP DR MK. Analyzed the data: PSK CV FN JZM PD ML. Contributed reagents/materials/analysis tools: WAP. Wrote the paper: PSK RH PD JZM WAP.
- 1. Kotloff KL, Nataro JP, Blackwelder WC, Nasrin D, Farag TH, Panchalingam S, 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 (9888):209–22. pmid:23680352
- 2. Black RE, Brown KH, Becker S. Effects of diarrhea associated with specific enteropathogens on the growth of children in rural Bangladesh. Pediatrics. 1984;73(6):799–805. pmid:6374599
- 3. Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2197–223. pmid:23245608
- 4. Cryptosporidium and Cryptosporidiosis. 2nd ed. Fayer R XL, editor. Boca Raton, FL: CRC Press; 2008.
- 5. Chalmers RM. Waterborne outbreaks of cryptosporidiosis. Ann lst Super Sanita. 2012; 48(4):429–46.
- 6. Lima AA, Moore SR, Barboza MS Jr., Soares AM, Schleupner MA, Newman RD, et al. Persistent diarrhea signals a critical period of increased diarrhea burdens and nutritional shortfalls: a prospective cohort study among children in northeastern Brazil. J Infect Dis. 2000;181(5):1643–51. pmid:10823764
- 7. Khan WA, Rogers KA, Karim MM, Ahmed S, Hibberd PL, Calderwood SB, et al. Cryptosporidiosis among Bangladeshi children with diarrhea: a prospective, matched, case-control study of clinical features, epidemiology and systemic antibody responses. Am J Trop Med Hyg. 2004;71(4):412–9. pmid:15516636
- 8. Current WL, Reese NC, Ernst JV, Bailey WS, Heyman MB, Weinstein WM. Human cryptosporidiosis in immunocompetent and immunodeficient persons. Studies of an outbreak and experimental transmission. N Engl J Med. 1983;308(21):1252–7. pmid:6843609
- 9. Hashmey R, Smith NH, Cron S, Graviss EA, Chappell CL, White AC Jr. Cryptosporidiosis in Houston, Texas. A report of 95 cases. Medicine (Baltimore). 1997;76(2):118–39.
- 10. Bonatti H, Barroso LF 2nd, Sawyer RG, Kotton CN, Sifri CD. Cryptosporidium enteritis in solid organ transplant recipients: multicenter retrospective evaluation of 10 cases reveals an association with elevated tacrolimus concentrations. Transpl Infect Dis. 2012;14(6):635–48. pmid:22340660
- 11. Macfarlane DE, Horner-Bryce J. Cryptosporidiosis in well-nourished and malnourished children. Acta Paediatr Scand. 1987;76(3):474–7. pmid:3604664
- 12. Sarkar R, Kattula D, Francis MR, Ajjampur SS, Prabakaran AD, Jayavelu N, et al. Risk factors for cryptosporidiosis among children in a semi urban slum in southern India: a nested case-control study. Am J Trop Med Hyg. 2014;91(6):1128–37. pmid:25331810
- 13. Haque R, Mondal D, Karim A, Molla IH, Rahim A, Faruque AS, et al. Prospective case-control study of the association between common enteric protozoal parasites and diarrhea in Bangladesh. Clin Infect Dis. 2009;48(9):1191–7. pmid:19323634
- 14. Mondal D, Minak J, Alam M, Liu Y, Dai J, Korpe P, et al. Contribution of enteric infection, altered intestinal barrier function, and maternal malnutrition to infant malnutrition in Bangladesh. Clin Infect Dis. 2012;54(2):185–92. pmid:22109945
- 15. Korpe PS, Liu Y, Siddique A, Kabir M, Ralston K, Ma JZ, et al. Breast milk parasite-specific antibodies and protection from amebiasis and cryptosporidiosis in Bangladeshi infants: a prospective cohort study. Clin Infect Dis. 2013;56(7):988–92. pmid:23243179
- 16. Bhattacharya MK, Teka T, Faruque AS, Fuchs GJ. Cryptosporidium infection in children in urban Bangladesh. J Trop Pediatr. 1997;43(5):282–6. pmid:9364126
- 17. Javier Enriquez F, Avila CR, Ignacio Santos J, Tanaka-Kido J, Vallejo O, Sterling CR. Cryptosporidium infections in Mexican children: clinical, nutritional, enteropathogenic, and diagnostic evaluations. Am J Trop Med Hyg. 1997;56(3):254–7. pmid:9129526
- 18. Kirkpatrick BD, Haque R, Duggal P, Mondal D, Larsson C, Peterson K, et al. Association between Cryptosporidium infection and human leukocyte antigen class I and class II alleles. J Infect Dis. 2008;197(3):474–8. pmid:18248305
- 19. Carmolli M, Duggal P, Haque R, Lindow J, Mondal D, Petri WA Jr., et al. Deficient serum mannose-binding lectin levels and MBL2 polymorphisms increase the risk of single and recurrent Cryptosporidium infections in young children. J Infect Dis. 2009;200(10):1540–7. pmid:19827946
- 20. Cruz JR, Cano F, Caceres P, Chew F, Pareja G. Infection and diarrhea caused by Cryptosporidium sp. among Guatemalan infants. J Clin Microbiol. 1988;26(1):88–91. pmid:3343318
- 21. Molbak K, Hojlyng N, Gottschau A, Sa JC, Ingholt L, da Silva AP, et al. Cryptosporidiosis in infancy and childhood mortality in Guinea Bissau, west Africa. BMJ. 1993;307(6901):417–20. pmid:8374453
- 22. Roy SL, DeLong SM, Stenzel SA, Shiferaw B, Roberts JM, Khalakdina A, et al. Risk factors for sporadic cryptosporidiosis among immunocompetent persons in the United States from 1999 to 2001. J Clin Microbiol. 2004;42(7):2944–51. pmid:15243043
- 23. Newman RD, Sears CL, Moore SR, Nataro JP, Wuhib T, Agnew DA, et al. Longitudinal study of Cryptosporidium infection in children in northeastern Brazil. J Infect Dis. 1999;180(1):167–75. pmid:10353875
- 24. Chacin-Bonilla L, Barrios F, Sanchez Y. Environmental risk factors for Cryptosporidium infection in an island from Western Venezuela. Mem Inst Oswaldo Cruz. 2008; 103(1):45–9. pmid:18345459
- 25. Katsumata T, Hosea D, Wasito EB, Kohno S, Hara K, Soeparto P, Ranuh IG. Cryptosporidiosis in Indonesia: a hospital-based study and a community-based survery. Am J Trop Med Hyg. 1998; 59(4):628–32. pmid:9790442
- 26. Solarzano-Santos F, Penagos-Paniagua M, Menes-Esquivel R, Miranda-Novales MG, Leanos-Miranda B, Angulo-Gonzalez D, Fajardo-Gutierrez A. Cryptosporidium parvum infection in wel-lnourished and malnourished children without diarrhea in a Mexican rural population. Rev Invest Clin. 2000; 52 (6): 625–631. pmid:11256105
- 27. Pereira MD, Atwill ER, Barbosa AP, Silva SA, Garcia-Zapata MT. Intra-familial and extra-familial risk factors associated with Cryptosporidium parvum infection among children hospitalized for diarrhea in Goiania, Goias, Brazil. Am J Trop Med Hyg. 2002; 66(6):787–93. pmid:12224593
- 28. Mac Kenzie WR, Hoxie NJ, Proctor ME, Gradus MS, Blair KA, Peterson DE, et al. A massive outbreak in Milwaukee of cryptosporidium infection transmitted through the public water supply. N Engl J Med. 1994; 331(3):161–7. pmid:7818640
- 29. Lake IR, Harrison FC, Chalmers RM, Bentham G, Nichols G, Hunter PR, et al. Case-control study of environmental and social factors influencing cryptosporidiosis. Eur J Epidemiol. 2007;22(11):805–11. pmid:17891460
- 30. Nundy S, Gilman RH, Xiao L, Cabrera L, Cama R, Ortega YR, et al. Wealth and its associations with enteric parasitic infections in a low-income community in Peru: use of principal component analysis. Am J Trop Med Hyg. 2011;84(1):38–42. pmid:21212198
- 31. Bushen OY, Kohli A, Pinkerton RC, Dupnik K, Newman RD, Sears CL, Fayer R, Lima AA, Guerrant RL. Heavy cryptosporidial infections in children in northeast Brazil: comparison of Cryptosporidium hominis and Cryptosporidium parvum: Trans R Soc Trop Med Hyg. 2007; 101: 378–84. pmid:16934303
- 32. Checkley W, Epstein LD, Gilman RH et al. “Effects of Cryptosporidium parvum infection in Peruvian children: growth faltering and subsequent catch-up growth” Am J Epidemiol. 1997;148 (5): 497–506.
- 33. Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M et al. Maternal and child undernutrition: global and regional exposures and health consequences. The Lancet. 2008; 371: 243–60.
- 34. Liu J, Kabir F, Manneh J, Lertsethtakarn P, Begum S, Gratz J et al. Development and assessment of molecular diagnostic tests for 15 enteropathogens causing childhood diarrhoea: a multicentre study. Lancet Infect Dis. 2014;14(8):716–24. pmid:25022434
- 35. Haque R, Roy S, Siddique A, et al. Multiplex real-time PCR assay for detection of Entamoeba histolytica, Giardia lamblia and Cryptosporidium spp. Am J Trop Med Hyg. 2007; 76:713–7. pmid:17426176
- 36. Hira KG, Mackay MR, Hempstead AD, Ahmed S, Karim MM, O'Connor RM, et al. Genetic diversity of Cryptosporidium spp. from Bangladeshi children. J Clin Microbiol. 2011;49 (6): 2307–10. pmid:21471344
- 37. Iqbal A, Lim YA, Surin J, Sim BL. High diversity of Cryptosporidium subgenotypes identified in Malaysian HIV/AIDS individuals targeting gp60 gene. PLoS One. 2012;7(2):e31139. pmid:22347442
- 38. Meyer M, Kircher M. Illumina sequencing library preparation for highly multiplexed target capture and sequencing. Cold Spring Harb Protoc. 2010;(6):pdb.prot5448
- 39. World Bank. Poverty and Equity, Country Dashboard, Bangladesh. 2015. Available from: http://povertydata.worldbank.org/poverty/country/BGD.
- 40. UNICEF-WHO-The World Bank: Joint child malnutrition estimates—Levels and trends. 2013.
- 41. Das P, Roy SS, Mitra Dhar K, Dutta P, Bhattacharya MK, Sen A, et al. Molecular characterization of Cryptosporidium spp. from children in Kolkata, India. J Clin Microbiol. 2006;44:4246–9. pmid:16971647
- 42. Ajjampur SS, Gladstone BP, Selvapandian D, Muliyil JP, Ward H, Kang G. Molecular and spatial epidemiology of cryptosporidiosis in children in a semiurban community in South India. J Clin Microbiol. 2007;45: 915–920. pmid:17251402
- 43. Nagamani K, Pavuluri PR, Gyaneshwari M, Prasanthi K, Rao MI, Saxena NK. Molecular characterisation of Cryptosporidium: an emerging parasite. Indian J Med Microbiol. 2007;25:133–6. pmid:17582183
- 44. 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. pmid:20392919
- 45. Checkley W, Epstein LD, Gilman RH, Black RE, Cabrera L. Sterling CR. Effects of Cryptosporidium parvum infection in Peruvian children: Growth faltering and subsequent catch up growth. Am J Epidemiol. 1998; 148: 497–506. pmid:9737562
- 46. Alcantara Warren C, Destura RV, Sevilleja JE, Barroso LF, Carvalho H, Barrett LJ et al. Detection of epithelial-cell injury, and quantification of infection, in the HCT-8 organoid model of cryptosporidiosis. J Infect Dis. 2008;198(1):143–9. pmid:18498239
- 47. Costa LB, JohnBull EA, Reeves JT, Sevilleja JE, Freire RS, Hoffman PS. “Cryptosporidium-malnutrition interactions: mucosal disruption, cytokines, and TLR signaling in a weaned murine model. J Parasitol. 2011;97(6):1113–20. pmid:21711105
- 48. Taniuchi M, Verwejj JJ, Noor Z, Sobuz S, Lieshout LV, Petri WA Jr. et al. “High throughput multiplex PCR and probe-based detection with Luminex beads for seven intestinal parasites. Am. J. Trop. Med. Hyg. 2011; 84(2): 332–337. pmid:21292910
- 49. Bradshaw, T. Theories of poverty and anti-poverty programs in community development. Rural Poverty Research Center, Working Paper No. 06-05(2006).
- 50. Victora CG, Adair L, Fall C, Hallal PC, Martorell R, Richter L, et al. Maternal and child undernutrition: consequences for adult health and human capital. Lancet. 2008; 371(9609): 340–357. pmid:18206223