Liposomes are colloidal structures formed by the self-assembly of lipid molecules in solution into spherical, self-closed structures through their amphiphilic properties. All liposome preparation protocols reported consist of several steps of preparation, homogenization, and purification, which are labor-intensive, arduous, and lengthy to execute. In this work, a new procedure has been developed to reduce the time of the postrehydration sizing of liposomes from multilamellar vesicles, while improving the uniformity of the resulting liposomes produced and achieving high encapsulation efficiencies. For the homogenization step, the typically used method of filter extrusion was substituted by centrifugation. Purification of liposomes to eliminate nonencapsulated molecules and lipids is routinely carried out via gel permeation chromatography, an extremely lengthy procedure, and in the method we report, this lengthy step was replaced by the use of molecular-weight cut-off filters. Using this novel method, large unilamellar vesicles were produced and the time required, postrehydration, was dramatically reduced from almost 48 to less than 2 hours, with a highly uniformly sized population of liposomes being produced-the homogeneity of the liposome population achieved using our method was 99%, as compared to 88% attained by using the traditional method of production. We have used this approach to encapsulate fluorescein isothiocyanate (FITC), and 160,000 FITC molecules were encapsulated and the liposomes were demonstrated to be stable for at least 10 weeks at 4 degrees C.
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http://dx.doi.org/10.1080/08982100802674419 | DOI Listing |
Background: The key advantage of active immunization is the induction of sustained, polyclonal antibody responses that are readily boosted by occasional immunizations. Recent clinical trial outcomes for monoclonal antibodies lecanemab and donanemab, establish the relevance of targeting pathological Abeta for clearing amyloid plaques in Alzheimer's disease. ACI-24.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Indiana University School of Medicine, Indianapolis, IN, USA.
Background: The goal of the TREAT-AD Center is to enable drug discovery by developing assays and providing tool compounds for novel and emerging targets. The role of microglia in neuroinflammation has been implicated in the pathogenesis of Alzheimer's disease (AD). Genome-wide association studies, whole genome sequencing, and gene-expression network analyses comparing normal to AD brain have identified risk and protective variants in genes essential to microglial function.
View Article and Find Full Text PDFTher Adv Med Oncol
January 2025
Centro Integral Oncológico Clara Campal HM CIOCC, Hospital Universitario HM Sanchinarro, Madrid, Spain.
Treatment with pegylated nanoliposomal irinotecan (nal-IRI) plus 5-fluorouracil/leucovorin (folinic acid; 5-FU/LV) has demonstrated remarkable efficacy for metastatic pancreatic ductal adenocarcinoma (PDAC) in clinical trials. However, real-world data on the effectiveness of nal-IRI+5-FU/LV is heterogeneous and is lacking in Spain. To assess the effectiveness and safety of nal-IRI+5-FU/LV in real-life PDAC patients in Spain.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Centro Hospitalar de Trás-os-Montes e Alto Douro, Vila Real, PRT.
Hemophagocytic lymphohistiocytosis (HLH) is a rare clinical entity characterized by fever, constitutional symptoms, and hepatosplenomegaly associated with the presence of hemophagocytosis in the bone marrow and other organs. Visceral leishmaniasis (VL) is a severe zoonotic disease hypoendemic in Portugal, particularly in the Alto Douro region. We report the case of a 21-year-old female patient with a recent diagnosis of human immunodeficiency virus (HIV) infection, stage C3, in the context of severe pneumonia, who presented to the emergency department with fever, erythematous rash on the upper limbs and trunk, choluria and jaundice, one week after starting antiretroviral therapy (ART).
View Article and Find Full Text PDFPharm Dev Technol
January 2025
School of Medicine, University of Jordan, Amman 19328, Jordan.
Machine learning (ML) has emerged as a transformative tool in drug delivery, particularly in the design and optimization of liposomal formulations. This review focuses on the intersection of ML and liposomal technology, highlighting how advanced algorithms are accelerating formulation processes, predicting key parameters, and enabling personalized therapies. ML-driven approaches are restructuring formulation development by optimizing liposome size, stability, and encapsulation efficiency while refining drug release profiles.
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