Objective: This study was designed to evaluate the antigen capture enzyme immunoassays (EIAs) Triage parasite panel and TechLab Entamoeba histolytica II in detecting Giardia intestinalis, Cryptosporidium sp, and Entamoeba histolytica in fecal samples in comparison to microscopy, and in differentiating Entamoeba histolytica from Entamoeba dispar.
Methods: The Triage EIA was evaluated using 100 stool specimens that were tested by standard ova and parasite examination, including staining with both trichrome and modified acid-fast stains. Differentiation between E. histolytica and E. dispar was performed using TechLab.
Results: Microscopic examination revealed that 19% of the samples were positive for Giardia, 4% for Cryptosporidium, and 1% for E. histolytica/E. dispar, and other parasites were found in 5%. By Triage, 23% of the samples were infected with Giardia, 5% with Cryptosporidium, and 2% with E. histolytica/E. dispar. Triage showed a sensitivity of 100% and specificity of 91.5%. The TechLab assay was negative for both samples diagnosed as E. histolytica/E. dispar by Triage, which suggested that they were E. dispar. Both tests showed no cross-reactivity with other intestinal protozoa.
Conclusion: These results indicate that antigen detection by EIA has the potential to become a valuable tool, capable of making stool diagnostics more effective.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ijid.2011.04.004 | DOI Listing |
Cureus
December 2024
Department of Anatomy, Ganesh Shankar Vidyarthi Memorial Medical College, Kanpur, IND.
Purpose Hepatic abscesses remain a significant clinical challenge due to high morbidity and mortality. This research aims to examine the etiological spectrum, management approaches, clinical features, and results in hepatic abscesses in a tertiary care facility in northern India, emphasizing the distinctions among pyogenic liver abscesses (PLAs) and amoebic liver abscesses (ALAs). Methods This retrospective study was done at GSVM Medical College, Kanpur, analyzing 725 patients with hepatic abscesses over a 10-year period.
View Article and Find Full Text PDFMolecules
December 2024
Departamento de Infectómica y Patogénesis Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City 07360, Mexico.
Protein arginine methyltransferase 5 (PRMT5) is an enzyme that produces monomethyl arginine (MMA) and symmetric dimethyl arginine (sDMA), post-translational modifications that regulate several cellular processes, including stage conversion in parasitic protozoans. , the etiologic agent of human amebiasis, has two stages in its life cycle, the trophozoite, which is the replicative form, and the cyst, corresponding to the infective phase. The study of the molecular mechanisms that regulate differentiation in this parasite has been overdue because of a lack of efficient protocols for in vitro encystment.
View Article and Find Full Text PDFWorld J Gastroenterol
January 2025
Department of Medicine, Section of Gastroenterology, Aga Khan University Hospital, Karachi 75500, Sindh, Pakistan.
Parasites have coexisted with humans throughout history, forming either symbiotic relationships or causing significant morbidity and mortality. The liver is particularly vulnerable to parasitic infections, which can reside in, pass through, or be transported to the liver, leading to severe damage. This editorial explores various parasites that infect the liver, their clinical implications, and diagnostic considerations, as discussed in the article "Parasites of the liver: A global problem?".
View Article and Find Full Text PDFJ Bras Nefrol
January 2025
Universidade Federal Fluminense, Faculdade de Medicina, Departamento de Medicina Clínica, Niterói, RJ, Brazil.
Introduction: The World Health Organization (WHO) points out that infection by enteroparasites can affect ~3.5 billion people around the world. Hemodialysis (HD) patients may be more susceptible to infections by opportunistic pathogens due to impaired immune function.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
BIGR, UMR_S1134 Inserm, University of Paris City, 75006 Paris, France.
Metabolic pathway modeling, essential for understanding organism metabolism, is pivotal in predicting genetic mutation effects, drug design, and biofuel development. Enhancing these modeling techniques is crucial for achieving greater prediction accuracy and reliability. However, the limited experimental data or the complexity of the pathway makes it challenging for researchers to predict phenotypes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!