Experimental vaccine candidates have been evaluated to prevent leishmaniasis, but no commercial vaccine has been proved to be effective against more than one parasite species. LiHyT is a Leishmania-specific protein that was firstly identified as protective against Leishmania infantum. In this study, LiHyT was evaluated as a vaccine to against two Leishmania species causing tegumentary leishmaniasis (TL): Leishmania major and Leishmania braziliensis. BALB/c mice were immunized with rLiHyT plus saponin and lately challenged with promastigotes of the two parasite species. The immune response generated was evaluated before and 10 weeks after infection, as well as the parasite burden at this time after infection. The vaccination induced a Th1 response, which was characterized by the production of IFN-γ, IL-12 and GM-CSF, as well as by high levels of IgG2a antibodies, after in vitro stimulation using both the protein and parasite extracts. After challenge, vaccinated mice showed significant reductions in their infected footpads, as well as in the parasite burden in the tissue and organs evaluated, when compared to the control groups. The anti-Leishmania Th1 response was maintained after infection, being the IFN-γ production based mainly on CD4(+) T cells. We described one conserved Leishmania-specific protein that could compose a pan-Leishmania vaccine.
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http://dx.doi.org/10.1111/pim.12304 | DOI Listing |
Thromb Haemost
January 2025
Cardiology Unit, University of Catania, Catania, Italy.
Background - Although Factor XI (FXI) inhibitors are currently tested for the prevention of thrombotic events, their early treatment could prevent thrombus consolidation in ST-segment elevation myocardial infarction (STEMI). This study aims to characterize coagulation FXI levels and their variations in patients with STEMI undergoing primary percutaneous coronary intervention (PCI). Methods - Patients with STEMI were prospectively enrolled between December 2023 and May 2024.
View Article and Find Full Text PDFPeerJ
January 2025
Department of Magnetic Resonance Imaging, Hongqi Hospital, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China.
Purpose: Few data are available on the causality of cerebral artery fenestration (CAF) triggering cerebral infarction (CI) and this study aims to identify representative morphological features that can indicate risks.
Methods: A cohort comprising 89 patients diagnosed with CAF were enrolled from a total of 9,986 cranial MR angiographies. These patients were categorized into Infarction Group ( = 55) and Control Group ( = 34) according to infarction events.
Heliyon
January 2025
Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188Shizi Street, Suzhou, 215006, Jiangsu Province, China.
Objective: Gliomas are the most common intracranial tumors with the highest degree of malignancy. Disturbed cholesterol metabolism is one of the key features of many malignant tumors, including gliomas. This study aimed to investigate the significance of cholesterol metabolism-related genes in prognostic prediction and in guiding individualized treatment of patients with gliomas.
View Article and Find Full Text PDFEur Spine J
January 2025
Department of Orthopedics, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, Guangdong, China.
Objectives: Sleep disorders are considered a risk factor for aging and skeletal degeneration, but their impact on intervertebral disc degeneration (IDD) remains unclear. The aim of this study was to assess associations between sleep characteristics and IDD, and to identify potential causal relationships.
Methods: Exposure factors included six unhealthy sleep characteristics: insomnia, short sleep duration (< 7 h), long sleep duration (≥ 9 h), evening chronotype, daytime sleepiness, and snoring.
Sci Rep
January 2025
Departments of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
The impact of mitochondrial and lysosomal co-dysfunction on breast cancer patient outcomes is unclear. The objective of this study is to develop a predictive machine learning (ML) model utilizing mitochondrial and lysosomal co-regulators in order to provide a foundation for future studies focused on breast cancer (BC) patients' stratification and personalized interventions. Firstly, Differences and correlations of mitochondrial and lysosome related genes were screened and validated by differential analysis, copy number variation (CNV), single nucleotide polymorphism (SNPs) and correlation analysis.
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