Diarrheal infectious diseases represent a major cause of global morbidity and mortality. There is an urgent need for vaccines against diarrheal pathogens, especially parasites. Modern subunit vaccines rely on combining a highly purified antigen with an adjuvant to increase their efficacy. In the present study, we evaluated the ability of a nanoliposome adjuvant system to trigger a strong mucosal immune response to the Entamoeba histolytica Gal/GalNAc lectin LecA antigen. CBA/J mice were immunized with alum, emulsion or liposome based formulations containing synthetic TLR agonists. A liposome formulation containing TLR4 and TLR7/8 agonists was selected based on its ability to generate intestinal IgA, plasma IgG2a/IgG1, IFN-γ and IL-17A. Immunization with a mucosal prime followed by a parenteral boost generated a high mucosal IgA response that inhibited adherence of parasites to mammalian cells. Inclusion of the immune potentiator all-trans retinoic acid in the regimen further improved the mucosal IgA response. Immunization protected from infection with up to 55% efficacy. Our results show that a nanoliposome delivery system containing TLR agonists is a promising prospect for the development of vaccines against enteric pathogens, especially when a multifaceted immune response is desired.
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http://dx.doi.org/10.1016/j.vaccine.2016.12.057 | 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.
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