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Cationic Cyclodextrin-Based Carriers for Drug and Nucleic Acid Delivery.
Pharmaceutics
January 2025
Integrative Health and Environmental Analysis Research Laboratory, Department of Analytical Chemistry, Institute of Chemistry, Eötvös Loránd University, 1117 Budapest, Hungary.
Cyclodextrins can serve as carriers for various payloads, utilizing their capacity to form unique host-guest inclusion complexes within their cavity and their versatile surface functionalization. Recently, cationic cyclodextrins have gained considerable attention, as they can improve drug permeability across negatively charged cell membranes and efficiently condense negatively charged nucleic acid due to electrostatic interactions. This review focuses on state-of-the-art and recent advances in the construction of cationic cyclodextrin-based delivery systems.
View Article and Find Full Text PDFCeliac Disease: A Transitional Point of View.
Nutrients
January 2025
Clinical Immunology Outpatient Clinic, Division of Internal Medicine, Department of Advanced Medical and Surgical Sciences, "Luigi Vanvitelli" University of Campania, 80131 Naples, Italy.
Celiac disease (CeD) is a chronic, lifelong, multifactorial, polygenic, and autoimmune disorder, characteristically triggered by exposure to the exogenous factor "gluten" in genetically predisposed individuals, with resulting duodenal inflammation and enteropathy, as well as heterogeneous multisystemic and extraintestinal manifestations. The immunopathogenesis of CeD is complex, favored by a peculiar human leukocyte antigen (HLA) genetic predisposition, leading to gluten presentation by antigen-presenting cells to CD4+ T helper (Th) cells, T cell-B cell interactions, and production of specific antibodies, resulting in the immune-mediated killing of enterocytes and, macroscopically, in duodenal inflammation. Here, the most relevant correlations between cellular and molecular aspects and clinical manifestations of this complex disease are reviewed, with final considerations on nutritional aspects for disease management.
View Article and Find Full Text PDFSilver -Heterocyclic Carbene (NHC) Complexes as Antimicrobial and/or Anticancer Agents.
Pharmaceuticals (Basel)
December 2024
Department of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.
The strict connections/interactions between microbial infections and cancer are nowadays widely accepted. Hence, the dual (or multiple) targeting of microbial infections and cancer is an essential issue to be addressed. In this context, metal complexes have gained considerable importance and effectiveness in medicinal chemistry.
View Article and Find Full Text PDFA Comprehensive Analysis of Infections in Children and Adolescents: Results of a 7-Year Retrospective Study and Literature Review.
Pathogens
January 2025
Department of Microbiology and Immunology, Faculty of Pharmacy, "Ovidius" University of Constanta, Str. Căpitan Aviator Al. Șerbănescu, nr.6, Campus Corp C, 900470 Constanta, Romania.
Cystic echinococcosis (CE) is a neglected tropical parasitic disease linked with significant social and economic burdens worldwide. The scientific community has minimal information on echinococcosis in Romanian people, and hospital medical records are the only sources that may be used to investigate its status. A 7-year retrospective clinical study on pediatric patients with CE from Southeast Romania was performed, and 39 children and adolescents were included, aged 2-15 years old.
View Article and Find Full Text PDFImproving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection.
Sensors (Basel)
January 2025
Centre of Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.
To automate the quality control of painted surfaces of heating devices, an automatic defect detection and classification system was developed by combining deflectometry and bright light-based illumination on the image acquisition, deep learning models for the classification of non-defective (OK) and defective (NOK) surfaces that fused dual-modal information at the decision level, and an online network for information dispatching and visualization. Three decision-making algorithms were tested for implementation: a new model built and trained from scratch and transfer learning of pre-trained networks (ResNet-50 and Inception V3). The results revealed that the two illumination modes employed widened the type of defects that could be identified with this system, while maintaining its lower computational complexity by performing multi-modal fusion at the decision level.
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