Vaccines have historically played a pivotal role in controlling epidemics. Effective vaccines for viruses causing significant human disease, , Ebola, Lassa fever, or Crimean Congo hemorrhagic fever virus, would be invaluable to public health strategies and counter-measure development missions. Here, we propose coverage metrics to quantify vaccine-induced CD8 T cell-mediated immune protection, as well as metrics to characterize immuno-dominant epitopes, in light of human genetic heterogeneity and viral evolution. Proof-of-principle of our approach and methods are demonstrated for Ebola virus, SARS-CoV-2, and (vaccine) proteins.
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http://dx.doi.org/10.3389/fimmu.2024.1420284 | DOI Listing |
Metabolites
November 2024
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, BC V6T 1Z1, Canada.
: The rise of drug-resistant strains presents a significant challenge in the treatment of Leishmaniasis, a neglected tropical disease. Extracellular vesicles (EVs) produced by these parasites have gained attention for their role in drug resistance and host-pathogen interactions. : This study developed and applied a novel lipidomics workflow to explore the lipid profiles of EVs from three types of drug-resistant strains compared to a wild-type strain.
View Article and Find Full Text PDFInt J Neonatal Screen
December 2024
Division of Inherited Metabolic Diseases, Department of Women's and Children's Health, University Hospital of Padua, 35128 Padua, Italy.
Acid sphingomyelinase deficiency (ASMD) is a rare lysosomal storage disorder with a broad clinical spectrum. Early diagnosis and initiation of treatment are crucial for improving outcomes, yet the disease often goes undiagnosed due to its rarity and phenotypic heterogeneity. This study aims to evaluate the feasibility and disease incidence of newborn screening (NBS) for ASMD in Italy.
View Article and Find Full Text PDFHum Reprod
December 2024
Department of Medical BioSciences, Radboudumc, Nijmegen, The Netherlands.
Study Question: How can we best achieve tissue segmentation and cell counting of multichannel-stained endometriosis sections to understand tissue composition?
Summary Answer: A combination of a machine learning-based tissue analysis software for tissue segmentation and a deep learning-based algorithm for segmentation-independent cell identification shows strong performance on the automated histological analysis of endometriosis sections.
What Is Known Already: Endometriosis is characterized by the complex interplay of various cell types and exhibits great variation between patients and endometriosis subtypes.
Study Design, Size, Duration: Endometriosis tissue samples of eight patients of different subtypes were obtained during surgery.
Hum Brain Mapp
December 2024
SEB Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Canada.
White matter hyperintensities (WMH) of presumed vascular origin are a magnetic resonance imaging (MRI)-based biomarker of cerebral small vessel disease (CSVD). WMH are associated with cognitive decline and increased risk of stroke and dementia, and are commonly observed in aging, vascular cognitive impairment, and neurodegenerative diseases. The reliable and rapid measurement of WMH in large-scale multisite clinical studies with heterogeneous patient populations remains challenging, where the diversity of imaging characteristics across studies adds additional complexity to this task.
View Article and Find Full Text PDFTalanta
December 2024
Bar-Ilan Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, 5290002, Ramat Gan, Israel.
The dried matrix spot (DMS) method, initially developed for neonatal blood screening, has gained prevalence in various research fields for its efficiency in handling small sample volumes and its adaptability to diverse analytical techniques. This study presents the results of the first systematic investigation of direct multi-element analysis in DMS of human blood and plasma samples with Particle Induced X-ray Emission (PIXE). Internal standard addition was used to address the issue of DMS heterogeneity and to eliminate the need for determining the sample volume equivalent, allowing a single-spot (single-punch) measurement.
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