UNASSIGNED: Diarrhea is a significant health problem in the Third World. Identification of the pathogen that causes diarrhea is vital for measures to prevent and control this disease. There are also very few reports of diarrhea in Sudan. Our study aimed to determine the Prevalence of specific protozoan pathogens ( Entamoeba histolytica, Cryptosporidium parvum., and Giardia spp) in children in Khartoum, Sudan.
UNASSIGNED: We conducted a cross-sectional survey among children under five years of age who were hospitalized with acute diarrhea between April and December 2014. Diarrheal stool samples were collected and E. histolytica, C. parvum, and Giardia spp were examined using multiplex real-time PCR.
UNASSIGNED: Four hundred and thirty-seven children with acute diarrheawere included in this study; the higher Prevalence of diarrhea was in the age less than ≤ 2 years old (403,92.2%). The male-to-female ratio in this study was 1:1.7. infection with intestinal parasite was found in 155 (35.5%) cases, and co-infection was detected in 16 (10.3%) cases. Giardia spp(18.8%) and C. parvum (15.8 %) were the most frequently identified parasites, followed by E. histolytica (0.9). The parasite infection rate was highest and lowest in the under 2-year-old group (92.3%) and the 2-4-year-old group (7.3%). The infection rate was higher in boys (67.1%) than in girls (32.9%). The incidence of protozoan infection was higher in the rainy season (August to December) (92.2%), corresponding with that in the dry Season (April to June). (7.8%).
UNASSIGNED: Our present study demonstrated the high prevalence of Giardia spp and C. parvum in children with diarrhea in the Khartoum region and the usefulness of the multiplex real-time method in disclosing pathogenic protozoal agents. Our result highlighted the necessity of developing intervention measurement and control strategies to deal with childhood parasitic diarrhea in this region.

Cryptosporidium and Giardia are recognized as significant etiological agents of diarrheal outbreaks in humans as these parasites may be transmitted through the ingestion of water and food contaminated with feces of human or animal origin. However, surveillance studies on the role of animal reservoirs in the transmission of Cryptosporidium and Giardia are deemed insufficient and the complete dimension of the problem contributing to contamination in an agricultural setting is unknown. This study aimed to assess the presence of Cryptosporidium and Giardia in domesticated animals from selected farms in the agricultural provinces of Laguna and Quezon in Southern Luzon, Philippines. Using immunofluorescence assay, an overall 85.7% incidence of protozoan infection was recorded among the animals (N = 161). Of these, 77.0 and 73.9% were positive for Cryptosporidium and Giardia, respectively. Highest incidence (95.83%) of Cryptosporidium was documented in swine and the highest incidence (89.47%) of Giardia was observed in ruminants. Analyses revealed significant differences in the incidence of the protozoan parasites among animals with different containment status, water source, age group, and sex. On the other hand, farm workers\' knowledge on parasite transmission was negatively correlated (p = 0.001) to parasite incidence. With the scarcity of data about Cryptosporidium and Giardia in farm-raised animals in the Philippines, the information obtained from this study will be vital for protozoan source tracking and further control interventions against Cryptosporidium and Giardia infections.

Freshwater samples (n = 199) were obtained from 41 sites with contrasting land-uses (avian, low impact, dairy, urban, sheep and beef, and mixed sheep, beef and dairy) and the E. coli phylotype of 3980 isolates (20 per water sample enrichment) was determined. Eight phylotypes were identified with B1 (48.04%), B2 (14.87%) and A (14.79%) the most abundant. Escherichia marmotae (n = 22), and Escherichia ruysiae (n = 1), were rare (0.68%) suggesting that these environmental strains are unlikely to confound water quality assessments. Phylotypes A and B1 were overrepresented in dairy and urban sites (p < 0.0001), whilst B2 were overrepresented in low impact sites (p < 0.0001). Pathogens ((Salmonella, Campylobacter, Cryptosporidium or Giardia) and the presence of diarrhoeagenic E. coli-associated genes (stx and eae) were detected in 89.9% (179/199) samples, including 80.5% (33/41) of samples with putative non-recent faecal inputs. Quantitative PCR to detect microbial source tracking targets from human, ruminant and avian contamination were concordant with land-use type and E. coli phylotype abundance. This study demonstrated that a potential recreational health risk remains where pathogens occurred in water samples with low E. coli concentration, potential non-recent faecal sources, low impact sites and where human, ruminant and avian faecal sources were absent.

Controlling drinking water treatment processes is essential to address water contamination and the adaptability of certain pathogenic protozoa. Sometimes, standard treatment methods and chlorine disinfection may prove insufficient in eliminating pathogenic protozoa. However, ultraviolet (UV) radiation has proved to be more effective than chlorine. This study aims to characterize the eukaryotic community of a drinking water treatment plant that applies a final UV disinfection treatment, focusing on pathogenic protozoa. Fifty water samples (raw water, before and after UV treatment) were evaluated to comply with regulation parameters and identify relevant protozoa. Despite physicochemical and microbiological parameters meeting the regulation, some potentially pathogenic protozoa, such as Blastocystis or Cryptosporidium, were still detected in very low relative abundances in treated water. It was found for the first time in Spain the pathogenic amoebae Naegleria fowleri in one river water, which was not found after the treatment. Moreover, Blastocystis subtypes ST1-ST6 were detected in this study in raw, before and after UV water samples. Blastocystis was only found in 2 two samples after UV treatment, with a very low abundance (≤0.02%). Obtained results demonstrate the effectiveness of water treatment in reducing the prevalence of pathogenic protozoa.

Cryptosporidium and Giardia are important parasitic protozoa due to their zoonotic potential and impact on human health, and have often caused waterborne outbreaks of disease. Detection of (oo)cysts in water matrices is challenging and extremely costly, thus only few countries have legislated for regular monitoring of drinking water for their presence. Several attempts have been made trying to investigate the association between the presence of such (oo)cysts in waters with other biotic or abiotic factors, with inconclusive findings. In this regard, the aim of this study was the development of an holistic approach leveraging Machine Learning (ML) and eXplainable Artificial Intelligence (XAI) techniques, in order to provide empirical evidence related to the presence and prediction of Cryptosporidium oocysts and Giardia cysts in water samples. To meet this objective, we initially modelled the complex relationship between Cryptosporidium and Giardia (oo)cysts and a set of parasitological, microbiological, physicochemical and meteorological parameters via a model-agnostic meta-learner algorithm that provides flexibility regarding the selection of the ML model executing the fitting task. Based on this generic approach, a set of four well-known ML candidates were, empirically, evaluated in terms of their predictive capabilities. Then, the best-performed algorithms, were further examined through XAI techniques for gaining meaningful insights related to the explainability and interpretability of the derived solutions. The findings reveal that the Random Forest achieves the highest prediction performance when the objective is the prediction of both contamination and contamination intensity with Cryptosporidium oocysts in a given water sample, with meteorological/physicochemical and microbiological markers being informative, respectively. For the prediction of contamination with Giardia, the eXtreme Gradient Boosting with physicochemical parameters was the most efficient algorithm, while, the Support Vector Regression that takes into consideration both microbiological and meteorological markers was more efficient for evaluating the contamination intensity with cysts. The results of the study designate that the adoption of ML and XAI approaches can be considered as a valuable tool for unveiling the complicated correlation of the presence and contamination intensity with these zoonotic parasites that could constitute, in turn, a basis for the development of monitoring platforms and early warning systems for the prevention of waterborne disease outbreaks.

Vegetable and fruit contamination is recognized as a significant parasite transmission route. This review presents the current state of vegetables ad fruits contamination with food-borne parasitic protozoa worldwide. We consider the methodologies and strategies for detecting parasitic stages developed in the last decade and the contamination data. Asia had the highest number of reports (94 studies), followed by Africa (74 studies). At the country level, with 41 studies, Iran had the most reports among other countries, followed by Nigeria (28 studies). According to the studies included in the current review, 41.22% of vegetables and fruits were contaminated with different species of protozoan parasites. Among different continents, Asia accounted for the highest contamination rate of protozoan parasites (57.12%). Giardia spp. (10%) had the highest contamination rate in vegetables and fruits, followed by Entamoeba coli (8%), E. histolytica/dispar (7%), and Cryptosporidium spp. (6%). This study provides essential data for health authorities to develop food safety programs. The presence of protozoan parasites in fruits and vegetables highlights the critical need for maintaining rigorous food safety measures across the entire production and distribution process, particularly in countries that are major producers and distributors of these food items.

UNASSIGNED: Cryptosporidium and Giardia are well-known important intestinal zoonotic pathogens that can infect various hosts and cause diarrhoeal diseases. We aimed to determine the epidemiological prevalence and molecular characterization of Cryptosporidium and Giardia species in Himalayan marmot (Marmota himalayana, class Marmota) in the Qinghai Tibetan Plateau Area of Qinghai Province, Northwest China.
UNASSIGNED: Overall, 243 Himalayan marmot fecal samples were collected in 2017 and in 2019 and a two-step nested PCR technique was performed to amplify the fragments of the SSU rRNA gene of Cryptosporidium and 18S ribosomal RNA gene of Giardia. Molecular characterization of Cryptosporidium was performed with the primary primers NDIAGF2 and N-DIAGR2, the secondary primers CPB-DIAGF and CPB-DIAGR. Similarly, molecular characterization of Giardia was used the first primers Gia2029 and Gia2150c, the secondary primers RH11 and RH4. The positive PCR products were sequenced and the sequences were processed by Clustal Omega and BLAST. Phylogenetic analysis was achieved by NJ method in MEGA.
UNASSIGNED: The infection rate of Cryptosporidium spp. and G. duodenalis was 4.9% (12/243) and 0.8% (2/243) in M. himalayana, respectively. Cryptosporidium spp. are characterized as novel genotypes Cryptosporidium marmot genotype I (n=3) and Cryptosporidium marmot genotype II (n=9); G. duodenalis assemblage A (n=2) was found in M. himalayana.
UNASSIGNED: This is the first report of Cryptosporidium spp. and G. duodenalis infections in M. himalayana in Qinghai of Northwest China. The results indicate the existence of Cryptosporidium species and G. duodenalis infections that may have a potential public health significance.

The sole known heme enzyme of the parasitic protist Giardia intestinalis is a flavohemoglobin (gFlHb) that acts as a nitric oxide dioxygenase (NOD) and protects the organism from the free radical nitric oxide. To learn more about the properties of this enzyme, we measured its nitric oxide dioxygenase, NADH oxidase, and cytochrome c reductase activities and compared these to the activities of the E. coli flavohemoglobin (Hmp). The turnover number for the NOD activity of gFlHb (23 s-1) is about two-thirds of that of Hmp (34 s-1) at pH 6.5 and 37 °C. The two enzymes differ in their sensitivity towards molecules that act as heme ligands. For both gFlHb and Hmp, inhibition with miconazole, a large imidazole ligand, is adequately described by simple competitive inhibition, with KI = 10 μM and 0.27 μM for gFlHb and Hmp, respectively. Inhibition plots with the small ligand imidazole were biphasic, which is consistent with previous experiments with carbon monoxide as a probe that show that the active site of flavohemoglobins exists in two conformations. Interestingly, the largest difference is observed with nitrite, which, like imidazole, also shows a biphasic inhibition plot; however, nitrite inhibits gFlHb at sub-millimolar concentrations while Hmp is not significantly affected. NADH oxidase activity measured under aerobic conditions in the absence of nitric oxide for Hmp was more than twice the activity of gFlHb. The addition of 1 mM hydrogen peroxide in these assays stimulated the NADH oxidase activity of gFlHb but not Hmp. Both enzymes had nearly identical cytochrome c reductase activities but the extent of the contribution of indirect reduction by flavohemoglobin-generated superoxide was much lower with gFlHb (4% SOD-inhibited) than with Hmp (17% SOD-inhibited). Although the active sites of the two enzymes share the same highly conserved residues that are important for catalysis, differences in the distal ligand binding site may account for these differences in activity and sensitivity towards NOD inhibitors. The differences observed in the NADH oxidase and cytochrome c reductase assays suggest that gFlHb may have evolved to protect the protist, which lacks both superoxide dismutase and catalase, from the damaging effects of superoxide by minimizing its production and from peroxide by actively reducing it.

Diarrheal diseases are the second leading cause of death in children worldwide. Epidemiological studies show that co-infection with Giardia intestinalis decreases the severity of diarrhea. Here, we show that Giardia is highly prevalent in the stools of asymptomatic school-aged children. It orchestrates a Th2 mucosal immune response, characterized by increased antigen-specific Th2 cells, IL-25, Type 2-associated cytokines, and goblet cell hyperplasia. Giardia infection expanded IL-10-producing Th2 and GATA3+ Treg cells that promoted chronic carriage, parasite transmission, and conferred protection against Toxoplasma gondii-induced lethal ileitis and DSS-driven colitis by downregulating proinflammatory cytokines, decreasing Th1/Th17 cell frequency, and preventing collateral tissue damage. Protection was dependent on STAT6 signaling, as Giardia-infected STAT6-/- mice no longer regulated intestinal bystander inflammation. Our findings demonstrate that Giardia infection reshapes mucosal immunity toward a Type 2 response, which confers a mutualistic protection against inflammatory disease processes and identifies a critical role for protists in regulating mucosal defenses.

Giardiasis is the most common intestinal parasitic disease worldwide. Clinical presentation ranges from asymptomatic to abdominal pain, diarrhea, and iron deficiency anemia. Treatment modalities include tinidazole, metronidazole, and paromomycin. We present a case of an adult man with anemia and suspected gastrointestinal bleeding who was found to have a duodenal nodule consistent with Brunner gland hyperplasia, and biopsy also showed Giardia. Limited case reports of Giardia diagnosed by duodenal biopsy are found in the literature. To the best of our knowledge, this is the first report of giardiasis presenting as Brunner gland hyperplasia.