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PLOS Neglected Tropical Diseases logoLink to PLOS Neglected Tropical Diseases
. 2023 Oct 10;17(10):e0011687. doi: 10.1371/journal.pntd.0011687

Symptomatic and asymptomatic enteric protozoan parasitic infection and their association with subsequent growth parameters in under five children in South Asia and sub-Saharan Africa

Rina Das 1,2,*, Parag Palit 1,3, Md Ahshanul Haque 1, Myron M Levine 4, Karen L Kotloff 4, Dilruba Nasrin 4, M Jahangir Hossain 5, Dipika Sur 6, Tahmeed Ahmed 1,7,8, Robert F Breiman 9,#, Matthew C Freeman 2,*,#, A S G Faruque 1,#
Editor: Luther A Bartelt10
PMCID: PMC10588856  PMID: 37816031

Abstract

Background

Entamoeba histolytica, Giardia, and Cryptosporidium are common intestinal protozoan parasites that contribute to a high burden of childhood morbidity and mortality. Our study quantified the association between intestinal protozoan parasites and child anthropometric outcomes among children under-5.

Methods

We analyzed data from 7,800 children enrolled in the Global Enteric Multicenter Study (GEMS) across seven study sites that were positive for intestinal protozoan parasites between December 2007 and March 2011. Parasites were assessed using stool immunoassays (ELISA). We applied multiple linear regression to test the association between any or concurrent parasite and child anthropometric outcomes: length/height-for-age (HAZ), weight-for-age (WAZ), and weight-for-length/height (WHZ) z-score after 60 days of enrollment. Models were stratified by diarrheal symptoms, driven by the study design, and adjusted for potential covariates.

Findings

During the follow-up at day 60 after enrollment, child anthropometric outcomes, among the asymptomatic children showed, negative associations between Giardia with HAZ [β: -0.13; 95% CI: -0.17, -0.09; p<0.001] and WAZ [β -0.07; 95% CI: -0.11, -0.04; p<0.001], but not WHZ [β: -0.02; 95% CI:-0.06, 0.02; p = 0.36]; Cryptosporidium with WAZ [β: -0.15; 95% CI: -0.22, -0.09; p<0.001] and WHZ [β: -0.18; 95%CI: -0.25, -0.12; p<0.001], but not with HAZ [β: -0.03; 95% CI: -0.09, 0.04; p = 0.40]. For symptomatic children, no associations were found between Giardia and anthropometry; negative associations were found between Cryptosporidium with HAZ [β: -0.17; 95% CI: -0.23, -0.11; p<0.001], WAZ [β: -0.25; 95% CI: -0.31, -0.19; p<0.001] and WHZ [β: -0.23; 95% CI: -0.30, -0.17; p<0.001]. Among the asymptomatic 24–59 months children, Giardia had a negative association with HAZ [β: -0.09; 95% CI: -0.15, -0.04; p = 0.001]. No significant associations were found between E. histolytica with child growth.

Conclusions

While some studies have found that Giardia is not associated with (or protective against) acute diarrhea, our findings suggest that it is associated with growth shortfall. This observation underscores the need for preventive strategies targeting enteric protozoan parasites among young children, to reduce the burden of childhood malnutrition.

Author summary

Intestinal protozoan parasites such as Entamoeba histolytica, Giardia, and Cryptosporidium are significant causes of childhood morbidity and mortality. A study analyzed data from 7,800 children enrolled in the Global Enteric Multicenter Study (GEMS) across seven study sites who tested positive for these parasites using stool immunoassays. The study aimed to quantify the association between intestinal protozoan parasites and child anthropometric outcomes among children under the age of 5.

The results of the study showed negative associations between Giardia and weight-for-age and length/height-for-age among asymptomatic children. Similarly, Cryptosporidium was negatively associated with weight-for-age and weight-for-length/height among asymptomatic children and with weight-for-age, weight-for-length/height, and length/height-for-age among symptomatic children. No significant associations were found between Entamoeba histolytica and child growth.

The study findings suggest that while Giardia may not cause acute diarrhea, it is associated with growth shortfall among young children. These observations highlight the need for preventive strategies to target enteric protozoan parasites among young children to reduce the burden of childhood malnutrition.

Introduction

Intestinal infections are the leading cause of childhood morbidity and mortality in children under 5 [1], caused by numerous microorganisms. Protozoa, particularly Entamoeba, Giardia, and Cryptosporidium [2], infecting 450 million individuals annually [3]. The infection leads to diarrhea, abdominal pain, vomiting, weight loss, and the long-term sequelae of childhood growth faltering [4]. Malnutrition is known to impair cellular immunity, which is an important risk factor for infection by these enteric protozoan parasites [5]. Entamoeba histolytica is associated with moderate-to-severe diarrhea (MSD) and increased mortality among children in African countries and has been reported to exert adverse effects on child growth and development [6]. Infections with Giardia are quite frequent and are one of the most common causes of diarrhea, but generally occur without clinical symptoms, though it can affect nutritional status due to diarrhea, loss of appetite, reduced absorption of proteins, vitamins A, B12, and lactose [7]. Children in resource-poor settings are particularly at risk of infections with Cryptosporidium, which has been reported to be the second leading cause of diarrhea-related mortality among under-5 in LMICs [8].

Though intestinal parasitic infection is widespread and often asymptomatic for diarrhea, their impact on growth in early childhood is largely uncharacterized. In the Global Enteric Multicenter Study (GEMS) across seven global study sites, the presence of Cryptosporidium was significantly associated with a greater decline in linear growth than in those without Cryptosporidium [9], but no analysis has been conducted on asymptomatic children who were positive for intestinal protozoan parasites. In the MAL-ED birth cohort study, asymptomatic infections by Giardia were found to be associated with growth faltering in the first 2 years of life [10], but no association was observed among the older children with parasitic infection and child growth. The mechanism by which parasitic disease impairs child growth is not fully understood but is thought to be related to host systemic responses to infection, disruption of host intestinal absorptive processes, and anemia [11]. Intestinal protozoan parasitic infections, disproportionately affect children; however, little is known about the impact of parasitic disease on growth in older children. Official figures may only represent a fraction of the true incidence of symptomatic cases and are often underdiagnosed and under-reported [12]. In addition, the proportion of asymptomatic carriers and subclinical infections is unknown due to the limited sensitivity of conventional (e.g., microscopy) diagnostic tests and the lack of large community surveys [12].

Here we assessed the impact of both symptomatic and asymptomatic enteric protozoan parasite infections on childhood growth among under-5 children in the GEMS dataset. Little is known about whether child growth faltering is enteric protozoan specific, and determining whether child malnutrition varies for different enteric protozoan parasites has implications for the implementation and evaluation of programs designed to improve child health.

Methods

Ethics statement

Before implementing the GEMS, the clinical procedure, consent forms, CRFs (case report forms), field procedures, and other supporting materials were approved by the local site-specific ethics committees and the ethics committee of the University of Maryland School of Medicine. The committees and their collaborating partners from other institutions oversee each site who had their IRB approvals. The collaborating institutes of 7 sites were, International Center for Diarrheal Disease Research, Bangladesh (icddr,b) in Bangladesh, National Institute of Cholera and Enteric Diseases (NICED) in India, Aga Khan University in Pakistan, Medical Research Council Unit, The Gambia in Gambia, CDC/Kenya Medical Research Institute (KEMRI) Research Station in Kenya, Centre pour le Development des Vaccines du Mali (CVD-Mali) in Mali, Centro de Investigação em Saúde de Manhiça (CISM) in Mozambique. The signed informed consent forms for the children’s inclusion in the study were collected from the children’s parents/guardians (both sick cases and healthy controls).

Study design

GEMS was a prospective, age-stratified, matched case-control study conducted from December 2007 to February 2011 in seven study sites across sub-Saharan Africa (The Gambia, Mali, Mozambique, and Kenya) and South Asia (Bangladesh, India, and Pakistan). [13] Under-5 children of the Demographic Surveillance System (DSS) catchment area, presenting to the Sentinel Health Center with MSD admitted within 7 days of acute illness onset were considered cases. Age, sex, and community-matched healthy children without diarrhea for the previous 7 days randomly selected from the DSS were enrolled as controls. Nutritional assessments based on weight, length/height, and mid-upper arm circumference (MUAC) were performed at the time of enrollment [13].

Approximately 60 days after enrollment, GEMS field workers visited the household of each enrolled child (acceptable range, 50–90 days) [13]. We used the anthropometry data and details of in-between comorbidity data (malaria, typhoid, pneumonia, diarrhea, and dysentery) from these follow-up household visits for our analysis.

Specimen collection and laboratory procedure

The GEMS protocol incorporated traditional bacterial culture, the growth of the pathogens, and characterizes them further for virulence, and serologic features, as described elsewhere [14]. Giardia, E. histolytica, and Cryptosporidium were detected using immunoassays (ELISA) available commercially from TechLab, Inc and according to the manufacturer’s protocols [14].

Outcome variable

The primary measure of growth in our analyses was the height/length-for-age z-score (HAZ), weight-for-age z-score (WAZ), and weight-for-height z-score (WHZ). In our study, we used baseline (after rehydration in case of MSD) and endline HAZ, WAZ, and WHZ from enrolment to follow-up for the E. histolytica, Giardia, and Cryptosporidium-positive children enrolled in GEMS (Fig 1). As the comparison group, we used the baseline and endline follow-up anthropometry data for the E. histolytica, Giardia, and Cryptosporidium negative children.

Fig 1. Study flow diagram.

Fig 1

Variables of interest

Anthropometry measurements

Height and weight were measured at enrollment and the 60-day follow-up visit for each child, and details of measuring methods were described elsewhere [8]. Using the WHO Child Growth Standards as the reference population, the HAZ/LAZ, WAZ, and WHZ were measured using a WHO SAS macro [13].

Moderate-to-severe Diarrhea (MSD)

MSD was defined as new and acute diarrhea (≥3 abnormally loose stools within the past 24 hours that started within the previous 7 days following at least 7 diarrhea-free days, with at least one of the following criteria for MSD: dehydration based on the study clinician’s assessment (sunken eyes; decreased skin too, or; or intravenous rehydration administered or prescribed); dysentery (visible blood in stools reported by the mother or observed by the study team); or hospitalization with diarrhea or dysentery [13].

Vomiting, fever, and dysentery

Vomiting 3 or more times per day, and fever (at least 38°C or parental perception) determined by retrospective and dysentery (visible blood in stools) assessed by the attending clinician [13].

Asymptomatic children

Age, sex, and community-matched healthy children without diarrhea for the previous 7 days randomly selected from the same DSS were enrolled as asymptomatic children [8].

Breastfeeding

Breastfed referred to both exclusive and partially breastfeed children under 2.

Sociodemographic information

Included data about the child’s household including the mother as a primary caretaker, primary caretaker’s education (illiterate/ literate), household size (number of children <5 years of age) were considered explanatory variables. Variables addressed WASH (before nursing or preparing baby food; after cleaning a child who defecated), the main source of drinking water (tube well water/ non-tube well water), sanitation facilities (toilet facility for disposal of human fecal waste available/ no facility), and the use of handwashing materials (water with soap/ without soap). Households were categorized based on the wealth quintiles as socioeconomic status (SES) (poor, lower-middle, middle, upper-middle, and rich) [15] by using principal component analysis. The survey includes data on asset indicators that can be grouped into three types: household ownership of consumer durables(clock/watch, bicycle, radio, television, bicycle, sewing machine, refrigerator, car); characteristics of the household’s dwelling(about toilet facilities, the source of drinking water, rooms in the dwelling, building materials used, and the main source of lighting and cooking); and household land ownership [15]. Individuals were sorted by the asset index and established cutoff values for percentiles of the population. Then the households were assigned to a group based on their value on the index. For expository convenience, they refer to the bottom 20% as “poorest,” the next 20% as “lower middle,” the next 20% as “middle”, the next 20% as “upper middle” and the top 20% as “richest,” but this classification does not follow any of the usual definitions of poverty [15].

Statistical analysis

We reported the child and household-level characteristics by using mean and standard deviation for continuous variables and frequency as a percentage for categorical variables to summarize the data. Chi-square and proportion tests were used to see the association between two categorical variables and the t-test was used to see the mean difference between two groups for symmetric distribution. To assess the association between the intestinal protozoan parasites at baseline and the change in the child’s HAZ, WAZ, and WHZ in the subsequent ~60 days, we used a generalized linear model, where the explanatory variable was the presence of intestinal protozoan parasites (Cryptosporidium, Giardia and E. histolytica) and the outcome variable was (HAZ, WAZ, and WHZ). All the factors include age, gender, breastfeeding status, primary caretaker’s education, number of under-5 children at the house, WASH, co-pathogens (ETEC, EAEC, Shigella, Campylobacter, and Rotavirus), comorbidity, time (since it was a repeated measured data, we adjusted the variable [time: 0 and 1] as co-variate; the anthropometry was taken in two-time points: on enrollment = 0 and day ~60 follow up = 1), and study site, suggesting the association with the outcome as indicated in the literature were chosen for multivariable modeling. Separate models were constructed to assess the association of each enteric protozoan parasitic infection with a child’s HAZ, WAZ, and WHZ for symptomatic and asymptomatic infections. A similar model was performed for the detection of the association of protozoan parasite co-pathogens and child growth parameters after adjusting for the potential covariates. We checked for potential effect modifiers in the final model by checking the interactions. Initially, we checked the Mantel-Haenszel test to detect the heterogeneity of the association by different pathogens. A likelihood-ratio test (LRT) was performed and found that without the interaction term, the model had a better fit. The variance inflation factor (VIF) was calculated to detect multicollinearity, and no variable with a VIF value greater than 5 was identified in the final model. We estimated the β coefficient and its 95% CI to describe the precision of the point estimate. A p-value of < 0.05 was considered statistically significant and STATA 17.0 IC (Stata Corp LLC, College Station, TX) was used to analyze the data.

Results

Among children with MSD, the detection of Cryptosporidium spp. was the highest in Mozambique (16.8%) and Indian (16.7%) study sites. In Mali, Giardia was found in 27.9% of children (Fig 2). Among the children without symptoms, the detection of Cryptosporidium spp. was the highest in India (10.7%) and the lowest in Bangladesh (4.0%). In Mali, Giardia was found in 37.5% of asymptomatic children. Giardia was detected in a higher proportion of asymptomatic children (healthy children enrolled as control from the community) in all sites than symptomatic MSD children (Fig 3).

Fig 2. Site-Specific percentage of enteric protozoan parasites (Cryptosporidium, Giardia, and Entamoeba histolytica) isolated from the stool of under 5 children among the symptomatic MSD cases.

Fig 2

Fig 3. Site-Specific percentage of enteric protozoan parasites (Cryptosporidium, Giardia, and Entamoeba histolytica) isolated from the stool of asymptomatic under 5 children (healthy children enrolled as control from the community).

Fig 3

Baseline anthropometric measurements (WAZ mean ±SD: -1.08± 1.32 vs -1.51± 1.39 and WHZ: -0.47± 1.49 vs -1.06± 1.49) showed a statistical difference (p-value <0.001) between asymptomatic and symptomatic children respectively (Table 1). Symptomatic MSD children were more often (82.3%) using non-tube well water as the main source of drinking water compared to asymptomatic healthy children (82.3% vs 77.2%, p-value <0.001). Non-sanitary latrines were available for 6.4% of households. Cryptosporidium (11.9% vs 6.4%), E. histolytica (2.9% vs 2.3%), ETEC (11.3% vs 7.4%), rotavirus (18.5% vs 3.9%), and Shigella (11.8% vs 1.8%) were more frequently detected amongst the children exhibiting symptoms in comparison to asymptomatic children (p-value <0.001 for each pathogen) respectively, but Giardia was more isolated among the children without symptoms compared to symptomatic children (26.4% vs 18.9%, p-value <0.001).

Table 1. Baseline characteristics of the asymptomatic and symptomatic MSD children in South Asia and sub-Saharan Africa.

Characteristics
Total (n = 22,567)
Asymptomatic Children
n = 13,128
Symptomatic MSD children
n = 9,439
P value
Age group
0-11m 4,878 (37.2) 4,030 (42.7) ref
12-23m 4,381 (33.4) 3,205 (33.9) 0.18
24-59m 3,870 (29.5) 2,205 (23.4) 0.01
Gender (Girl) 5,651 (43.0) 4,095 (43.4) 0.39
Baseline Anthropometry
HAZ/LAZ -1.34± 1.31 -1.34± 1.37 0.67
WAZ -1.08± 1.32 -1.51± 1.39 <0.001
WHZ -0.47± 1.49 -1.06± 1.49 <0.001
Breastfeeding status
Breastfed 9,039 (68.9) 6,741 (71.4) ref
Not breastfed 4,090 (31.2) 2,698 (28.6) 0.13
Primary caretaker’s education
Illiterate 5,168 (39.4) 4,016 (42.7) 0.17
Literate 7,935 (60.6) 5,386 (57.3)
Wealth index
Poorest 2,510 (19.1) 2,027 (21.5) ref
lower middle 2,590 (19.7) 1,813 (19.2) 0.13
Middle 2,834 (21.6) 1,993 (21.1) 0.23
Upper middle 2,522 (19.2) 1,780 (18.9) 0.28
Richest 2,672 (20.4) 1,821 (19.3) 0.23
The main source of drinking water
Tube well water 2,994 (22.8) 1,675 (17.7) ref
Non-tube well water 10,135 (77.2) 7,765 (82.3) <0.001
Handwashing material
With soap and water 9,762 (74.4) 7,131 (75.6) ref
Without soap 3,365 (25.6) 2,308 (24.5) 0.64
Handwashing practice
Before nursing a child 5,133 (39.1) 3,683 (39.0) 0.99
After cleaning a child who defecated 6,189 (47.1) 4,249 (45.0) 0.79
Available toilet facility
sanitary/semi-sanitary 12,289 (93.6) 8,979 (95.1) ref
Non-sanitary 840 (6.4) 461 (4.9) <0.001
Common pathogens isolated
Cryptosporidium 843 (6.4) 1,123 (11.9) <0.001
Giardia 3,470 (26.4) 1,786 (18.9) <0.001
Entamoeba histolytica 299 (2.3) 279 (2.9) <0.001
ETEC 975 (7.4) 1,067 (11.3) <0.001
Campylobacter 1,561 (11.9) 1,171 (12.4) 0.63
EAEC 2,655 (20.2) 1,846 (19.6) 0.33
Rotavirus 509 (3.9) 1,747 (18.5) <0.001
Shigella 231 (1.8) 1,110 (11.8) <0.001

mean± SD (standard deviation); ETEC: Enterotoxigenic E. coli; EAEC: Enteroaggregative E. coli; HAZ/LAZ: height/length-for-age, WAZ: weight-for-age, and WHZ: weight-for-height z-scores

The baseline demographic characteristics of the children are presented in S1 and S2 Tables. For this analysis, we included 7800 children. For the asymptomatic children, Cryptosporidium was detected in 843 (18.3%), Giardia in 3470 (75.2%), and E. histolytica in 299 (6.5%). Cryptosporidium and E. histolytica were more often (> 40%) detected among younger children (0–11 months), and Giardia was frequently detected among the older children (more than two years old) among whom, more than 40% were female. For the MSD cases, Cryptosporidium was detected in 1123 (35.2%), Giardia in 1786 (56%), and E. histolytica in 279 (8.8%). Around 55.6% of children in the 0–11 months age group were Cryptosporidium-positive. About 40% of children were from the older age group who were Giardia-positive. But E. histolytica was less common among the children who were 24 months old and above. Dysentery (42.3%) occurred substantially more frequently for the E. histolytica-positive children and fever (60.1%) were most observed in Cryptosporidium positive and Giardia-positive children where 55.56% E. histolytica-positive children were presented with fever.

In separate multiple linear regression models among symptomatic MSD children, after adjusting the potential covariates, we observed, that at ~60-day follow-up, Cryptosporidium infection was associated with lower HAZ (-0.17; 95% CI: -0.23, -0.11), WAZ (-0.25; 95% CI: -0.31, -0.19), and WHZ (-0.23; 95% CI: -0.30, -0.17) (Table 2) which was lower than expected during ~60 days follow up compared to the Cryptosporidium negative children. This finding was consistent for nearly all stratified age groups. Among children who were positive for Giardia and E. histolytica, we did not find any significant associations with HAZ, WAZ, and WHZ in 60 days of follow-up. Children positive for any one of the enteric protozoan parasites (Giardia or Cryptosporidium or E. histolytica) showed a significant decrease in each child growth outcome among overall all children and among the 0–11 months age children, but not for the older children (12–23 months and 24–59 months) (Table 2).

Table 2. Among symptomatic children: association between enteric protozoan parasites infection and child anthropometric measurements: results of multiple linear regression modeling (dependent variables—HAZ/LAZ, WAZ, and WHZ) among the different age groups.

Symptomatic MSD children
Giardia Cryptosporidium E. histolytica Presence of any one parasite
Coef. (95% CI) * P value Coef. (95% CI) * P value Coef. (95% CI) * P value Coef. (95% CI) * P value
Overall
HAZ -0.01(-0.06, 0.04) 0.63 -0.17(-0.23, -0.11) <0.001 0.03(-0.08, 0.14) 0.62 -0.08(-0.13, -0.04) <0.001
WAZ 0.02(-0.03, 0.07) 0.50 -0.25(-0.31, -0.19) <0.001 0.04(-0.07, 0.16) 0.49 -0.09(-0.13, -0.05) <0.001
WHZ 0.02(-0.04,0.08) 0.48 -0.23(-0.30, -0.17) <0.001 0.02(-0.10, 0.15) 0.70 -0.08(-0.13, -0.03) 0.001
0–11 months
HAZ -0.004 (-0.10, 0.09) 0.93 -0.14(-0.22, -0.06) <0.001 -0.06(-0.23, 0.11) 0.48 -0.12(-0.18, -0.05) 0.001
WAZ -0.02(-0.13, 0.09) 0.74 -0.21(-0.30, -0.12) <0.001 0.08(-0.11, 0.28) 0.40 -0.14(-0.21, -0.06) <0.001
WHZ -0.1(-0.22, 0.03) 0.13 -0.21(-0.31, -0.11) <0.001 0.11(-0.10, 0.33) 0.31 -0.15(-0.24, -0.07) <0.001
12–23 months
HAZ 0.02(-0.06, 0.10) 0.69 -0.19(-0.29, -0.09) <0.001 0.02(-0.17, 0.20) 0.87 -0.06(-0.13,0.01) 0.09
WAZ 0.05(-0.03, 0.14) 0.19 -0.29(-0.39, -0.18) <0.001 -0.05(-0.25, 0.14) 0.58 -0.07(-0.14, 0.003) 0.06
WHZ 0.06(-0.02, 0.15) 0.15 -0.26(-0.37, -0.15) <0.001 -0.06(-0.26, 0.15) 0.58 -0.05(-0.13,0.03) 0.20
24–59 months
HAZ -0.04(-0.12, 0.04) 0.30 -0.31(-0.47, -0.14) <0.001 0.22(-0.01, 0.44) 0.0 -0.06(-0.14,0.02) 0.13
WAZ -0.02(-0.09, 0.06) 0.66 -0.21(-0.36, -0.06) 0.005 0.09(-0.11, 0.29) 0.39 -0.06(-0.13,0.01) 0.12
WHZ 0.02(-0.05, 0.10) 0.57 -0.07(-0.22, 0.08) 0.37 -0.06(-0.27, 0.15) 0.59 -0.02(-0.09,0.05) 0.62

* Adjusted for sex, breastfeeding status, primary caretaker’s education, WASH, wealth index, co-pathogens (ETEC, EAEC, Shigella, Campylobacter, and Rotavirus), site, and history of comorbidity (malaria, typhoid, pneumonia, diarrhea, dysentery) at day 60 follow up. Abbreviation: Coef.: coefficient, CI: confidence interval; HAZ/LAZ: height/length-for-age, WAZ: weight-for-age, and WHZ: weight-for-height z-scores; enteric protozoan parasites were detected from the stool sample during enrollment; Anthropometric measurements were taken during enrollment and after 60 days of enrollment (during the follow-up visit); Separate models were performed to see the association of enteric protozoan parasites infection with a child’s height-for-age, weight-for-age, and weight-for-height z-scores for the symptomatic and asymptomatic infection

Among asymptomatic children at ~60-day follow-up, Cryptosporidium infection was associated with lower WAZ (-0.15; 95% CI: -0.22, -0.09) and WHZ (-0.18; 95% CI -0.25, -0.12), which was lower than expected during follow up; this relationship did not exist for HAZ (-0.03; 95% CI -0.09, 0.04) compared to Cryptosporidium negative children. This finding was consistent for nearly all stratified age groups except for older children (24–59 months old). Giardia infection was associated with lower HAZ (-0.13; 95% CI: -0.17, -0.09) and WAZ (-0.07; 95% CI: -0.11, -0.04); but not WHZ (-0.02; 95% CI -0.06, 0.02) which was lower than expected in comparison to the Giardia negative children, these findings were also observed amongst the different age groups of children except for older children (24–59 months). No associations were found between E. histolytica and growth measures. Positivity for any one of the enteric protozoan parasites (Giardia or Cryptosporidium or E. histolytica) was associated with lower child growth outcomes among overall all children, but not for the older children (24–59 months). In 24–59 months, children, who were positive for any one of the enteric protozoan parasites had a significant decrease in HAZ (Table 3) which was lower than expected during follow-up compared to the children who were negative for any protozoal infection.

Table 3. Among asymptomatic children: association between enteric protozoan parasites infection and child anthropometric measurements: results of multiple linear regression modeling (dependent variables—HAZ/LAZ, WAZ, and WHZ) among the different age groups.

Asymptomatic children
Giardia Cryptosporidium E. histolytica Presence of any one parasite
Coef. (95% CI) * P value Coef. (95% CI) * P value Coef. (95% CI) * P value Coef. (95% CI) * P value
Overall
HAZ -0.13 (-0.17, -0.09) <0.001 -0.03 (-0.09,0.04) 0.40 -0.04 (-0.15,0.06) 0.42 -0.12 (-0.15, -0.08) <0.001
WAZ -0.07 (-0.11, -0.04) <0.001 -0.15 (-0.22, -0.09) <0.001 -0.08 (-0.19,0.02) 0.12 -0.10 (-0.14, -0.07) <0.001
WHZ -0.02 (-0.06,0.02) 0.36 -0.18 (-0.25, -0.12) <0.001 -0.07 (-0.18,0.05) 0.27 -0.06 (-0.10, -0.02) 0.002
0-11months
HAZ -0.14 (-0.22, -0.06) 0.001 -0.02 (-0.13,0.08) 0.66 -0.11 (-0.27,0.06) 0.20 -0.12 (-0.19, -0.05) <0.001
WAZ -0.13 (-0.22, -0.04) 0.003 -0.15 (-0.26, -0.04) 0.007 -0.03 (-0.2,0.14) 0.73 -0.16 (-0.23, -0.09) <0.001
WHZ -0.13 (-0.23, -0.03) 0.008 -0.19 (-0.32, -0.07) 0.002 0.08 (-0.11,0.27) 0.42 -0.15(-0.23, -0.07) <0.001
12–23 months
HAZ -0.17 (-0.23, -0.11) <0.001 -0.03 (-0.14,0.08) 0.65 0.09 (-0.11,0.28) 0.38 -0.14 (-0.2, -0.08) <0.001
WAZ -0.10 (-0.16, -0.04) 0.002 -0.21 (-0.33, -0.1) <0.001 -0.12 (-0.32,0.07) 0.22 -0.12 (-0.18, -0.07) <0.001
WHZ -0.02 (-0.09,0.04) 0.51 -0.27 (-0.39, -0.14) <0.001 -0.22 (-0.43, -00004) 0.05 -0.08 (-0.14, -0.01) 0.017
24–59 months
HAZ -0.09 (-0.15, -0.04) 0.001 -0.08 (-0.20,0.03) 0.15 -0.10 (-0.31,0.10) 0.32 -0.10 (-0.16, -0.05) <0.001
WAZ -0.02 (-0.07,0.02) 0.33 -0.04 (-0.15,0.06) 0.40 -0.17 (-0.35,0.01) 0.07 -0.04 (-0.08,0.01) 0.16
WHZ 0.05 (-0.004,0.10) 0.07 0.02 (-0.09,0.12) 0.77 -0.19 (-0.37,0.003) 0.05 0.04 (-0.01,0.09) 0.10

* Adjusted for sex, breastfeeding status, primary caretaker’s education, WASH, wealth index, co-pathogens (ETEC, EAEC, Shigella, Campylobacter, and Rotavirus), site, and history of comorbidity (malaria, typhoid, pneumonia, diarrhea, dysentery) at day 60 follow up. Abbreviation: Coef.: coefficient, CI: confidence interval; HAZ/LAZ: height/length-for-age, WAZ: weight-for-age, and WHZ: weight-for-height z-scores; enteric protozoan parasites were detected from the stool sample during enrollment; Anthropometric measurements were taken during enrollment and after 60 days of enrollment (during the follow-up visit); Separate models were performed to see the association of enteric protozoan parasites infection with a child’s height-for-age, weight-for-age, and weight-for-height z-scores for the symptomatic and asymptomatic infection

To gain further insight into the association of protozoan parasite detection with child growth, we explored the role of co-pathogen colonization. We observed an association (p = 0.01) and WHZ (β: -0.21; 95% CI: -0.35, -0.06; p <0.001); on the other hand, co-infection with both Giardia and E. histolytica was associated with higher growth than the expected HAZ (β: 0.32; 95% CI: 0.07, 0.58; p = 0.01) and WAZ (β: 0.30; 95% CI: 0.03, 0.56; p = <0.001) among the children exhibiting symptoms. No association was found between the co-colonization of Cryptosporidium and E. histolytica on diarrhea symptoms (Table 4). We report on the prevalence of multiple infections in S3 Table and compared enteric protozoan parasite co-infections between asymptomatic and symptomatic MSD children in S4 Table.

Table 4. Associations between enteric protozoan parasites co-infections and child anthropometric measurements among under 5 asymptomatic and symptomatic MSD children in South Asia and sub-Saharan Africa using multiple linear regression modeling (Dependent variables: HAZ/LAZ, WAZ, and WHZ).

Symptomatic MSD children
Coef. (95% CI) * P value Coef. (95% CI) * P value Coef. (95% CI) * P value
Crypto (+) and E. histolytica (+ Crypto (+) and E. histolytica (-) Crypto (-) and E. histolytica (+)
HAZ -0.02 (-0.29, 0.26) 0.90 -0.17 (-0.23, -0.11) <0.001 0.05 (-0.07,0.17) 0.44
WAZ 0.04 (-0.25, 0.34) 0.78 -0.25 (-0.31, -0.19) <0.001 0.05 (-0.07,0.18) 0.42
WHZ 0.12 (-0.2, 0.44) 0.45 -0.24 (-0.31, -0.17) <0.001 0.02 (-0.12,0.15) 0.80
Crypto (+) and Giardia (+) Crypto (+) and Giardia (-) Crypto (-) and Giardia (+)
HAZ -0.09 (-0.21, 0.03) 0.13 -0.17 (-0.24, -0.11) <0.001 0.01 (-0.05, 0.06) 0.79
WAZ -0.18 (-0.31, -0.05) 0.01 -0.23 (-0.3, -0.16) <0.001 0.06 (0.001, 0.11) 0.05
WHZ -0.21 (-0.35, -0.06) <0.001 -0.21 (-0.28, -0.13) <0.001 0.06 (0.004, 0.12) 0.04
Giardia (+) and E. histolytica (+) Giardia (+) and E. histolytica (-) Giardia (-) and E. histolytica (+)
HAZ 0.32 (0.07, 0.58) 0.01 -0.03 (-0.08, 0.02) 0.24 -0.05 (-0.17, 0.08) 0.46
WAZ 0.30 (0.03, 0.56) 0.03 -0.003 (-0.06, 0.05) 0.90 -0.03 (-0.16, 0.09) 0.60
WHZ 0.18 (-0.11, 0.48) 0.22 0.003 (-0.05, 0.06) 0.90 -0.03 (-0.16, 0.11) 0.69
Asymptomatic children
Coef. (95% CI) * P value Coef. (95% CI) * P value Coef. (95% CI) * P value
Crypto (+) and E. histolytica (+) Crypto (+) and E. histolytica (-) Crypto (-) and E. histolytica (+)
HAZ 0.08 (-0.28, 0.45) 0.66 -0.04 (-0.10, 0.02) 0.23 -0.05 (-0.16, 0.06) 0.34
WAZ -0.22 (-0.6, 0.16) 0.25 -0.15 (-0.22, -0.09) <0.001 -0.07 (-0.18, 0.04) 0.24
WHZ -0.32 (-0.74, 0.09) 0.13 -0.18 (-0.25, -0.11) <0.001 -0.04 (-0.16, 0.08) 0.54
Crypto (+) and Giardia (+) Crypto (+) and Giardia (- Crypto (-) and Giardia (+)
HAZ -0.03 (-0.14, 0.09) 0.62 -0.01 (-0.09, 0.07) 0.81 -0.13 (-0.17, -0.09) <0.001
WAZ -0.08 (-0.19, 0.03) 0.17 -0.16 (-0.24, -0.08) <0.001 -0.07 (-0.10, -0.03) <0.001
WHZ -0.08 (-0.20, 0.03) 0.17 -0.20 (-0.28, -0.12) <0.001 -0.01 (-0.05, 0.03) 0.72
Giardia (+) and E. histolytica (+) Giardia (+) and E. histolytica (-) Giardia (-) and E. histolytica (+)
HAZ -0.02 (-0.23, 0.19) 0.87 -0.03 (-0.08, 0.02) 0.24 -0.05 (-0.17, 0.08) 0.46
WAZ -0.16 (-0.36, 0.05) 0.13 -0.003 (-0.06, 0.05) 0.90 -0.03 (-0.16, 0.09) 0.60
WHZ -0.2 2(-0.44, -0.004) 0.05 0.003 (-0.05, 0.06) 0.90 -0.03 (-0.16, 0.11) 0.69

* Adjusted for sex, breastfeeding status, primary caretaker’s education, WASH, wealth index, co-pathogens (ETEC, EAEC, Shigella, Campylobacter, and Rotavirus), site, and history of comorbidity (malaria, typhoid, pneumonia, diarrhea, dysentery) at day 60 follow up. Abbreviation: Coef.: coefficient, CI: confidence interval; HAZ/LAZ: height/length-for-age, WAZ: weight-for-age, and WHZ: weight-for-height z-scores; enteric protozoan parasites were detected from the stool sample during enrollment; Anthropometric measurements were taken during enrollment and after 60 days of enrollment (during the follow-up visit); Separate models were performed to see the association of enteric protozoan parasites infection with a child’s height-for-age, weight-for-age, and weight-for-height z-scores for the symptomatic and asymptomatic infection

Most co-infections did not reveal an association with growth measures (Table 4). For symptomatic MSD children, exceptions included negative associations with growth when children were positive for Cryptosporidium with E. Histolytica negative and Cryptosporidium regardless of Giardia status (I.e., both Giardia positive and negative).These relationship with lower growth when children had co-infection with both Cryptosporidium and E. histolytica also held for asymptomatic MSD children, but among these children, negative associations with growth existed when children were positive for Giardia regardless of Cryptosporidium status. We explored the age-stratified association between parasitic co-infections and child anthropometry. In S5A and S5B Table.

Discussion

To our knowledge, this is the first study to investigate the associations between the detection of enteric protozoan parasites with child growth; we included data from children in multiple countries ranging from birth until 5 years of age with and without diarrhea. We found compelling evidence that infection with Cryptosporidium impacts WAZ and WHZ among children enrolled as both symptomatic and asymptomatic; but association with HAZ was only for symptomatic children. Associations with Giardia infection were found for asymptomatic children only for HAZ and WAZ, but not WHZ, and no associations were found among symptomatic children. No associations were found among children positive for E. histolytica, perhaps owing to limited power from low prevalence. Associations with any infection were found among those in both the symptomatic and asymptomatic groups for all three growth categories, though the strength of that association differed within age groups.

Our results have significant implications for the prevention and management of asymptomatic intestinal protozoan parasitic infections in developing countries. It is widely known that children in developing countries are found to be infected with intestinal protozoan parasitic infections and often do not have diarrhea [16]. In some cases, enteric parasites result in self-limiting diarrhea; thus, typically, infected individuals are managed supportively, and not prescribed antiprotozoal treatment. The findings of this analysis suggest that this decision tree should be re-evaluated for under 5 children, given the substantial potential impact on growth faltering/detrimental effect on the nutrition status of asymptomatic intestinal protozoan parasitic infected children.

Our analysis showed that asymptomatic Giardia infection was significantly associated with both HAZ and WAZ, indicating poor linear growth and acute energy deficiency in affected children. However, there was no observed impact of Giardia on child growth among symptomatic children. The effect of symptomatic Giardia-associated illness on child growth remains controversial. A previous study noted that Giardia-infected children in Guatemala had poorer weight gain than those without this infection, but only in the second year of life; no effect was seen in the first or third years [17]. In another study in The Gambia, it was found that Giardia was not a major cause of the poor growth of the children [18]. Earlier studies have suggested that systemic invasion by enteric parasites could contribute to growth retardation by causing acute blood loss and depletion of body protein stores [4]. Giardia evades host inflammatory responses and may affect epithelial cells through various mechanisms, including producing antioxidants, cleaving interleukin-8, depleting arginine via arginine deiminase, shifting variant surface protein expression, cell-cycle arrest, proliferation impairment, tight-junction disruption, and apoptosis induction [19]. Enteric parasites can cause apical junction complex breakdown leading to intestinal permeability and allowing microbial and food antigens to enter the sub-epithelial compartment, as well as lactose malabsorption in affected individuals [20]. The study from Kerman, central Iran demonstrated that symptomatic giardiasis was characterized by significantly elevated serum levels of the TH1 cytokine IFN-γ compared to healthy controls, while asymptomatic human subjects and healthy controls had comparable levels of serum IFN-γ, and that Giardia genotype AI infection was associated with significantly elevated levels of serum IFN-γ and IL-10, but not IL-5, compared to healthy controls [21]. These findings may demonstrate the roles of both host and parasite factors in the determination of the growth outcome of Giardia infections, regardless of diarrheal symptoms.

Our data showed that acute malnutrition, as measured by WHZ, was significantly associated with subsequent growth faltering, which could be attributed to severe intestinal injury and absorptive capacity, and several studies have suggested that ponderal growth may precede linear growth as weight loss reflects a lack of available nutrients required for sustaining linear growth [22]. Our study suggests that the increased risks of severe linear growth faltering in asymptomatic children may be associated with higher rates of subsequent diarrhea episodes during the follow-up period, as previous research has reported a higher incidence of diarrhea in acutely malnourished children [23].

Contradictory findings regarding the protective role of Giardia in early childhood have been reported based on single pathogen colonization data from a community-based intervention study [24]. Children with Giardia detected in their duodenal aspirates have shown increased intestinal permeability, which may contribute to stunting and other forms of malnutrition, independent of chronic inflammation of the gut tissue. Giardiasis also has shown a minimal association with markers of intestinal inflammation, further suggesting a non-inflammatory mechanism [25], causing fewer symptoms. Our study found no significant growth faltering in children with symptomatic Giardia infection, possibly due to the activation of innate immunity which can protect against other enteric illnesses [26]. The reduced occurrence of Giardia in diarrheal stools suggests it may act as a barrier against other pathogens, but we propose an alternative interpretation: colonized Giardia is flushed out during acute diarrheal episodes caused by other pathogens, and this does not necessarily indicate protection against undernutrition.

Children with symptomatic and asymptomatic Cryptosporidium infections had significantly more growth faltering compared to those without the infection, possibly due to malabsorption of nutrients and intestinal inflammation caused by the parasite. Intestinal inflammation is known to impair growth and development, as evidenced by elevated inflammatory markers such as C-reactive protein (CRP) and interleukin-6 (IL-6) be elevated in children with giardiasis and a link between chronic inflammation and stunting [27]. Cryptosporidium causes inflammation and damage to the gut lining, leading to malabsorption and malnutrition. Asymptomatic Cryptosporidium infections may not affect long-term growth in children due to the short duration and lower parasite burden, which are often cleared by the body’s immune system.

Symptomatic Cryptosporidium strongly correlates with impaired HAZ in all age groups, likely due to its activation of the NF-kβ pathway and subsequent chronic inflammation and enteropathy. Linear growth faltering risk decreases as children age, with the highest risk before 12 months, in line with previous research [28]. These findings suggest the importance of early detection and treatment of Cryptosporidium to prevent long-term growth impairment in children. The risk of linear growth faltering decreases as children age, with the highest risk occurring before 12 months. In children with diarrhea presentation, the loss of height-for-age may have more health consequences than in asymptomatic children with Cryptosporidium, consistent with previous studies noting dysentery or specific pathogens known to cause dysentery to be associated with risks for linear growth faltering [29]. Cryptosporidium was associated with a greater decline in linear growth in children under 2 years with MSD, corroborating and expanding previous studies suggesting that Cryptosporidium in infancy imparts a lasting adverse effect on linear growth, including less weight gain in the first month of infection [9].

Our study did not find any significant association between E. histolytica infection and differences in child anthropometry. We have no clear explanation for this null association, but one possibility is the low prevalence’s restricted power. However, the effects of the infection may be temporary, and our results may underestimate the true association due to oral rehydration and anti-amebic/antibiotic therapy provided to symptomatic children. Previous studies suggest that E. histolytica infection could contribute to growth retardation through acute blood loss and depletion of body protein stores [30]. In a study of under 2 children from GEMS, dysentery was more likely to be treated with antibiotics than other enteric infections, potentially contributing to a growth-promoting effect on length and weight, although the impact of antibiotic treatment on growth in children with enteric infections remains unclear [31]. Moreover, Giardia and Cryptosporidium colonize the duodenum, jejunum, and ileum and are the most common sites for nutrients absorption; but E. histolytica colonizes the colon not in the small intestine [32], this might be another provable explanation of our findings.

Our analysis revealed that child growth faltering attributed risk varies among the three enteric protozoan parasites, which could be related to dehydration status and severity of intestinal injury. Ponderal growth may precede linear growth, as weight loss may indicate a lack of nutrients needed for sustained linear growth, according to previous studies [22]. Our study suggests that nutritional interventions or antiprotozoal treatment guidelines may prevent childhood chronic malnutrition due to enteric parasite infection. However, further research is necessary to understand the impact of cumulative protozoan colonization on gut homeostasis and its correlation with poor growth in children under five.

Based on the analysis of data regarding single pathogen colonization, contradictory findings have emerged regarding the potential protective role of Giardia, particularly during early childhood [16, 26]. In animal model experiments utilizing protein-deficient mice, it has been observed that microbial adaptations to undernutrition, in conjunction with the cumulative impact of entomopathogens, significantly influence host growth, gut immune response, and metabolism [33]. In the context of Giardia and enteroaggregative Escherichia coli co-colonization, it has been observed that Giardia can effectively evade microbiota-mediated pathogen clearance under conditions of protein malnutrition. This evasion mechanism leads to the promotion of growth impairment and significant alterations in the abundance of small intestinal 16S, as well as mucosal immunity. These changes converge with the metabolic responses to exacerbate host growth impairment. [34]. Their data model the effect of early-life cumulative enteropathogen exposures on the disruption of intestinal immunity and host metabolism during crucial developmental periods [34]. We observed similar trends in our study of children where Cryptosporidium detection in the presence of Giardia had a negative impact on the child’s growth, commonly among 24–59 months old diarrhoeal children. Similarly, simultaneously positive for Giardia and E. histolytica had poor growth in 12–23 months old children who were asymptomatic. As intestinal microbiota develops during the early months of life, this protection might provide the critical window of susceptibility. However, Cryptosporidium causes persistent diarrhea in young children in the LMICs. Although it has been suggested that the effect of infections on nutrition is usually transient because of catch-up growth, another community study from West Africa suggested that cryptosporidiosis in infancy has a permanent effect on growth [35]. Hence, further studies are required on the role of gut microbiota and enteropathogen co-colonization.

Our study was limited by the lack of data on maternal BMI, gestational age, birth weight, serum micronutrient levels, and enteric inflammatory biomarkers of the children. Additionally, only short-term impacts (60 days) were assessed, leaving open the possibility of subsequent catch-up growth. We could not detect the effect of the human immunodeficiency virus (HIV) as HIV data in the children’s population were not readily available for South Asia. Our study had a large, randomly sampled population and high-quality lab procedures. We examined the relationship between intestinal protozoan parasitic infection and growth faltering in children under five across seven sites, with a single follow-up visit allowing us to analyze growth outcomes during the at-risk period. This enteric protozoan parasitic infection data can be highly valuable in advancing our understanding of enteric infections and their impact on child health and development. Our analysis includes information on co-infections and co-pathogens, providing insights into how multiple parasites or pathogens interact and influence each other’s effects on child health. Understanding these interactions can have implications for diagnosis, treatment, and public health strategies. Our analysis findings can be used to assess the effectiveness of interventions targeting parasitic infections, such as WASH improvements, deworming programs, and nutrition interventions.

Conclusion

Enteric protozoan parasites are associated with lower growth in young children, regardless of diarrheal symptoms, with Cryptosporidium and Giardia being associated with growth shortfalls among asymptomatic children. Future studies are needed to determine the impact of treating or preventing asymptomatic enteric protozoan parasite-associated illness on childhood malnutrition, and regular monitoring for parasitic infection should be included in nutritional assessments in endemic regions. Research to develop effective drugs and vaccines for enteric protozoan parasitic infections is crucial to prevent childhood malnutrition.

Supporting information

S1 Table. Baseline characteristics of the asymptomatic children having stool positive for enteric protozoan parasites (Cryptosporidium, Giardia, and Entamoeba histolytica) in seven sites of GEMS.

(DOCX)

S2 Table. Baseline characteristics of the symptomatic children having stool positive for enteric protozoan parasites (Cryptosporidium, Giardia, and Entamoeba histolytica) in seven sites of GEMS.

(DOCX)

S3 Table. Children having more than one enteric protozoan parasite.

(DOCX)

S4 Table. Comparing enteric protozoan parasite co-infections detected among asymptomatic and symptomatic MSD children in GEMS (n = 22,567).

(DOCX)

S5 Table. Age-specific association between enteric protozoan parasites co-infections and child anthropometric measurements among symptomatic MSD and asymptomatic children on growth measures among under 5 children in South Asia and sub-Saharan Africa using multiple linear regression modeling (Dependent variables: HAZ/LAZ, WAZ, and WHZ).

a. Age-specific association between enteric protozoan parasites co-infections and child anthropometric measurements among symptomatic MSD children on growth measures among under 5 children in South Asia and sub-Saharan Africa using multiple linear regression modeling (Dependent variables: HAZ/LAZ, WAZ, and WHZ). b. Age-specific association between enteric protozoan parasites co-infections and child anthropometric measurements among asymptomatic children on growth measures among under 5 children in South Asia and sub-Saharan Africa using multiple linear regression modeling (Dependent variables: HAZ/LAZ, WAZ, and WHZ).

(DOCX)

Acknowledgments

The authors are grateful to GEMS staff, parents, and children for their contributions. GEMS research protocol was funded by the Bill & Melinda Gates Foundation. We acknowledge the contribution of icddr,b’s core donors including the Government of the People’s Republic of Bangladesh, Global Affairs Canada (GAC), Canada; Swedish International Development Cooperation Agency and Foreign, Commonwealth and Development Office (FCDO), UK for their continuous support and commitment to icddr,b’s research efforts.

Data Availability

A publicly available GEMS dataset was analyzed in this study. This data can be obtained here: ClinEpiDB (https://clinepidb.org/ce/app/workspace/analyses/DS_841a9f5259/new/variables/PCO_0000024/ENVO_00000009). Following the thorough review and approval process by the ClinEpiDB study team, we have obtained official data access from ClinEpiDB, the responsible entity for managing the GEMS data repository.

Funding Statement

This work was supported, in whole or in part, by the Bill and Melinda Gates Foundation (grant number: INV-002050) to ASGF. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author's Accepted Manuscript version that might arise from this submission. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0011687.r001

Decision Letter 0

Charles L Jaffe, Luther A Bartelt

27 Jul 2023

Dear Dr. Das,

Thank you very much for submitting your manuscript "Symptomatic and asymptomatic enteric protozoan parasitic infection and their association with growth in young under 5 children in South Asia and sub-Saharan Africa" for consideration at PLOS Neglected Tropical Diseases. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments.

Dear Rina Das and co-authors,

Thank you for your submission. We apologize for the lag time in responding. This important work is of high interest, and we invite your responses to the reviews.

Please address all reviewer comments, and particularly those raising needs to improve clarity in the analysis and presentation of the data. I agree that inclusion of qPCR data, if available, would enhance the manuscript, particularly if there are quantitative relationships between growth decrements and parasite burdens (though qPCR data is not a requirement). Please clearly address concerns raised by reviewer #1 regarding data ownership and whether these data agreement structures in GEMS require inclusion of co-authors from every study site.

In addition to specific references needed in the discussion as raised by Reviewer #2, please perform an updated literature review in your revision and include other studies of Giardia/Cryptosporidium growth faltering that have been published in the interim.

We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Please prepare and submit your revised manuscript within 60 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. Please note that revised manuscripts received after the 60-day due date may require evaluation and peer review similar to newly submitted manuscripts.

Thank you again for your submission. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Luther A Bartelt

Academic Editor

PLOS Neglected Tropical Diseases

Charles Jaffe

Section Editor

PLOS Neglected Tropical Diseases

***********************

Dear Rina Das and co-authors,

Thank you for your submission. We apologize for the lag time in responding. This important work is of high interest, and we invite your responses to the reviews.

Please address all reviewer comments, and particularly those raising needs to improve clarity in the analysis and presentation of the data. I agree that inclusion of qPCR data, if available, would enhance the manuscript, particularly if there are quantitative relationships between growth decrements and parasite burdens (though qPCR data is not a requirement). Please clearly address concerns raised by reviewer #1 regarding data ownership and whether these data agreement structures in GEMS require inclusion of co-authors from every study site.

In addition to specific references needed in the discussion as raised by Reviewer #2, please perform an updated literature review in your revision and include other studies of Giardia/Cryptosporidium growth faltering that have been published in the interim.

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #1: -Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

yes

-Is the study design appropriate to address the stated objectives?

Yes

-Is the population clearly described and appropriate for the hypothesis being tested?

Yes GEMS samples are taken for testing hypothesis of Giardia / parasite infection on growth faltering

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

7800 children's data from GEMS being used.

-Were correct statistical analysis used to support conclusions?

Yes appropriate for growth data

-Are there concerns about ethical or regulatory requirements being met?

Gems is a multi-site project and ownership of data is with PIs of site. It requires ERC exemption, or all site PIs should be informed.

Reviewer #2: Authors have employed pathogen results detected by ELISA. What was the reasoning not to employ the detection results from the later reanalysis by molecular techniques? Would this not have given more accurate results, especially for the low-grade protracted infections that both Giardia and Cryptosporidium can cause? And thereby perhaps a better corrective balancing for all the co-pathogen variables in the regression model?

Anthropometric measures were done at two timepoints. It is commendable that both measures are available and included in the analysis, and that measures at enrolment were done after rehydration in case of MSD. This makes possible an evaluation of anthropometry status both at enrolment and at follow-up, and could help solve the puzzle regarding the degree to which malnourished children more often acquire protozoan infections versus the hypothesis that protozoan infections cause growth faltering, and how these factors may interact.

Perhaps it is just my poor understanding of the statistical model, but I am bit confused about the results given in table 1 and 2. It is stated that they are “association between enteric protozoan parasites infection and child HAZ/LAZ, WAZ, and WHZ”. I then wonder; Are they expressing the deviation in score for each given protozoan pathogen from the expected increase in anthropometric scores in the whole cohort?

Authors also state that “Giardia infection was associated with lower HAZ (-0.13; 95% CI: -0.17, -0.09…». Does it actually mean a “lower than expected” or “reduced” HAZ score? Or the adjusted difference in the HAZ score from each child’s baseline 2 months previously, as if no growth was expected in that period?

I think the authors need to communicate clearer how the results convey the difference between enrollment and follow-up for children found positive for these pathogens. Please give a clear description of the metric you use so that also non-epidemiologists can understand it. In Nasrin et al 2022 the data is given as “Difference in ΔHAZ (95% CI)”. Is that what is actually meant?

I would also strongly recommend to provide an example of what the coefficients given actually indicate. For example; what does a HAZ coefficient of -0.13 mean in height loss in cm for a child aged one year?

Important co-pathogens other than protozoans were included in the GLL model as co-variates, while presence of protozoans were explanatory variables. Can the authors clarify how co-infections with two or three protozoans (which are not uncommon) were handled by this model? For example, were any interactions between these explanatory variables tested? The Nasrin et al 2022 included a multiple-pathogen model estimate. Is that the same that was used in the present analyses?

--------------------

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #1: -Does the analysis presented match the analysis plan?

Analyses plan is adequate.

-Are the results clearly and completely presented?

Yes

-Are the figures (Tables, Images) of sufficient quality for clarity?

Need to submit better quality pictures

Reviewer #2: Authors start by giving prevalences of protozoans at different sites. In supplementary table 1 and 2 are given the number of positives for each of the three protozoan pathogens. Obviously, there must have been many samples positive for more than one protozoan pathogen. How did the authors arrive at the numbers in these tables, that are without protozoan co-infections, but still add up to 100%. How was co-infections dealt with. This could be better explained in the methods chapter, and some measure of the overlap given.

Ideally anthropometry follow up data should be given also for the co-infections as has been shown to give interesting results in a recent paper by Kabir et al. 2023 https://doi.org/10.3389/fnut.2022.1081833 As we know there are interactions here the present manuscript might miss interesting findings by seemingly presenting only single infection analysis.

Figure 1 gives a good overview of the participants, and show low attrition rate for follow up anthropometry measurement.

Line 119: Were data from infants who were negative for protozoan parasites not included in the analysis? Would they not have provided important background data, especially for the asymptomatic group?

Baseline anthropometric data are given in the supplementary tables 1 and 2 but not commented upon. Were there no significant baseline differences between protozoan pathogens? I think these results are also an important finding in such a large dataset, and should be stated, and possibly discussed later, as several studies to date have drawn (often uncertain) conclusions about malnutrition and protozoan infection based on such one-time measures. Asymptomatic controls seem to have higher WAZ and WHZ scores than symptomatic infants. I definitely would want a column showing the baseline data for the total population, including anthropometric data, in these two tables.

A short translation of the anthropometric measures into prevalence of MAM and SAM (based on WHZ) and stunting (based on HAZ) in the text would be helpful to put the study population nutritional status into perspective.

--------------------

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

-Is public health relevance addressed?

Reviewer #1: -Are the conclusions supported by the data presented?

Yes

-Are the limitations of analysis clearly described?

Not mentioned

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

not really clear.

-Is public health relevance addressed?

Targeting enteric parasites in young children is mentioned

Reviewer #2: The discussion needs to touch upon repeated results are brought forward here and how they relate to the previous publication by Nasrin et al 2022. For example were Cryptosporidium in the symptomatic infants was published in that paper.

It would be good to include the reasoning for analysing single pathogens only, and not include results for protozoan co-infections. The authors have instead given estimates for “Presence of any one parasite” which I think gives less clinically interesting information. Please discuss the presence of protozoan co-infections in LMIC and preferably also include such co-infection analyses in this manuscript.

The authors refer to several studies of growth faltering in Giardia and Cryptosporidium. I think there are at least two studies that also should be included in this discussion, the early study by Mølbak et al and the recent study by Kapir et al.

Mølbak K, Andersen M, Aaby P, Højlyng N, Jakobsen M, Sodemann M, et al. Cryptosporidium infection in infancy as a cause of malnutrition: a community study from Guinea-Bissau, west Africa. Am J Clin Nutr. 1997; 65(1):149–52. https://doi.org/10.1093/ajcn/65.1.149 PMID: 8988927

Kabir F et al. Impact of enteropathogens on faltering growth in a resource-limited setting. Front Nutr. 2023 Jan 10;9:1081833. doi: 10.3389/fnut.2022.1081833. PMID: 36704796

Arguments relating to dysentery in lines 314 and onwards would be better placed in the section discussing E.histolytica. I think here the authors may also consider mentioning the effect of the different intestinal segments affected by each protozoan infection to explain the growth faltering seen in Giardia and Crypto, but not in E.histolytica. G and C infects the small intestine with its nutrient absorption role, while E.h is mainly a colonic pathogen.

--------------------

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #1: This is a secondary analyses of primary GEMS data. It has been published elsewhere in detail, however this is a new finding of Giardia being negatively associated in asymptomatic children. While previously Giardia has shown to be protective in linear growth faltering. The definition of asymptomatic /controls should be clearly defined. Giardia was measured through ELISA and not through microscopy. q-RT PCR data is also available for GEMS pathogens, but it was not included in this manuscript. It is important to understand how data was accessed for this manuscript from all sites, for instance Pakistan Gems data was used but there is no author on this manuscript. If it is a longitudinal data set which is not clearly mentioned here then probably Mixed effects model is more appropriate. For secondary data analyses, I would us robust analyses plan that has not been previously used rather than simple regression analyses. Outcome measure is not clearly defined, the impact of entomopathogen was observed within two months of life, this time frame is very short to observe long term effects of pathogen on growth.

Reviewer #2: Some Minor specific points

Line 34 in abstract, missing “-“ before 0.09 in the confidence interval.

Line 93-95: Incomprehensible sentence, please revise.

Line 197: The formulation “More than 55.6% of the …” seems a bit odd. Was it 55.6% or a unspecified higher percentage?

Line 240 Remove extra d in “investigated”

Line 247 reomve extra “both”

--------------------

Summary and General Comments

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #1: 1- title should be modified - may consider omitting "young"

2- under 5 should be changed to "five"

3- in abstract add p value with B estimates

4- Older children term was used. please define "older"

5- line # 189 " this needs further elaboration if asymptomatic were healthy children?"

6- (+) sign should be written as positive

7- In figure 3 title healthy term was used. it is confusing whether asymptomatic were healthy as well.

8- Title of table should be revised. use anthropometric measurement rather than WHZ/LAZ/WAZ

9- Use either of LAZ or HAZ

10-Line # 242: Typo error: WHZ instead of HAZ

11- Figure 1: Gems control was mentioned but in whole manuscript control term was not used

Reviewer #2: The authors have examined a publicly available dataset from the GEMS study with regard to intestinal protozoans in symptomatic and asymptomatic infants below 5 years of age, and their association with anthropometric outcomes. They find significant associations between growth parameters and asymptomatic Giardia infection and for both asymptomatic and symptomatic Cryptosporidium infection, but not with E. histolytica. It is a valuable analysis and needed analysis of available data.

I have two major comments. How were protozoan co-infections dealt within the analysis and can the data say more about these? The other relates to clarity and communication of what the results actually mean.

I think there is potential for a much clearer and better analysis and communication of these data. Structure could be improved by consistently starting with either symptomatic of asymptomatic infection in all sections of the manuscript.

I would recommend authors to put more emphasis on the fact that data presented here are including a post-infection follow-up period, which is very valuable. I suggest they bring it into the title so that it will be easily understood what this paper is about. For example “ … association with subsequent growth parameters in children below 5 years …” not just “… association with growth in young under 5 children …”

In the introduction, please make a clear and comprehensive delineation of what was reported in the previous publication by Nasrin et al 2022 regarding HAZ in MSD cases in the GEMS data, and what new analyses are to be made in the present analysis.

--------------------

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Reviewer #1: No

Reviewer #2: No

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PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0011687.r003

Decision Letter 1

Charles L Jaffe, Luther A Bartelt

27 Sep 2023

Dear Dr. Das,

We are pleased to inform you that your manuscript 'Symptomatic and asymptomatic enteric protozoan parasitic infection and their association with subsequent growth parameters in under five children in South Asia and sub-Saharan Africa' has been provisionally accepted for publication in PLOS Neglected Tropical Diseases.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

Luther A Bartelt

Academic Editor

PLOS Neglected Tropical Diseases

Charles Jaffe

Section Editor

PLOS Neglected Tropical Diseases

***********************************************************

Thank you for addressing the reviewer's concerns. In the final version, please do clarify or remove this sentence "If the risk of child malnutrition irrespective of diarrhea symptoms differs by individual protozoan species, intervention programs aimed at improving nutritional status may have varying potential for reducing child morbidity and mortality".

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #2: Previous comments are acceptably clarified

**********

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #2: Previous comments are acceptably clarified

**********

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

-Is public health relevance addressed?

Reviewer #2: Previous comments are acceptably clarified

**********

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #2: Authors have responded well to my previous comments. However, I remain puzzled about their sentence "If the risk of child malnutrition irrespective of diarrhea symptoms differs by individual protozoan species, intervention programs aimed at improving nutritional status may have varying potential for reducing child morbidity and mortality". This is is still quite cryptic and provide little extra in the context of the sentence before it.

I would advice the authors to be a bit more concrete, or else delete this sentence. If they suggest that specific measures may be beneficial that are dependent on the outcome of their study, such as limiting protozoan transmission or providing specific protozoan treatment, I think they could say so.

I also think that authors should make it very clear in the abstract that the growth parameters reported is based on a 60 day follow-up after diagnosing the infection. For example by adding in line 37 " ...child anthropometric outcomes _after two months_ among children..."

**********

Summary and General Comments

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #2: This is a valuable and thorough study of an available large, high quality dataset.

**********

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If you choose “no”, your identity will remain anonymous but your review may still be made public.

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Reviewer #2: Yes: Kurt Hanevik

PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0011687.r004

Acceptance letter

Charles L Jaffe, Luther A Bartelt

5 Oct 2023

Dear Dr. Das,

We are delighted to inform you that your manuscript, " Symptomatic and asymptomatic enteric protozoan parasitic infection and their association with subsequent growth parameters in under five children in South Asia and sub-Saharan Africa," has been formally accepted for publication in PLOS Neglected Tropical Diseases.

We have now passed your article onto the PLOS Production Department who will complete the rest of the publication process. All authors will receive a confirmation email upon publication.

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Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

Shaden Kamhawi

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

Paul Brindley

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Baseline characteristics of the asymptomatic children having stool positive for enteric protozoan parasites (Cryptosporidium, Giardia, and Entamoeba histolytica) in seven sites of GEMS.

    (DOCX)

    S2 Table. Baseline characteristics of the symptomatic children having stool positive for enteric protozoan parasites (Cryptosporidium, Giardia, and Entamoeba histolytica) in seven sites of GEMS.

    (DOCX)

    S3 Table. Children having more than one enteric protozoan parasite.

    (DOCX)

    S4 Table. Comparing enteric protozoan parasite co-infections detected among asymptomatic and symptomatic MSD children in GEMS (n = 22,567).

    (DOCX)

    S5 Table. Age-specific association between enteric protozoan parasites co-infections and child anthropometric measurements among symptomatic MSD and asymptomatic children on growth measures among under 5 children in South Asia and sub-Saharan Africa using multiple linear regression modeling (Dependent variables: HAZ/LAZ, WAZ, and WHZ).

    a. Age-specific association between enteric protozoan parasites co-infections and child anthropometric measurements among symptomatic MSD children on growth measures among under 5 children in South Asia and sub-Saharan Africa using multiple linear regression modeling (Dependent variables: HAZ/LAZ, WAZ, and WHZ). b. Age-specific association between enteric protozoan parasites co-infections and child anthropometric measurements among asymptomatic children on growth measures among under 5 children in South Asia and sub-Saharan Africa using multiple linear regression modeling (Dependent variables: HAZ/LAZ, WAZ, and WHZ).

    (DOCX)

    Attachment

    Submitted filename: response letter_revised.docx

    Data Availability Statement

    A publicly available GEMS dataset was analyzed in this study. This data can be obtained here: ClinEpiDB (https://clinepidb.org/ce/app/workspace/analyses/DS_841a9f5259/new/variables/PCO_0000024/ENVO_00000009). Following the thorough review and approval process by the ClinEpiDB study team, we have obtained official data access from ClinEpiDB, the responsible entity for managing the GEMS data repository.


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