64 research outputs found

    Solid lipid nanoparticles for cancer therapy:an in vitro study in prostate cancer cells

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    De toepassing van nanocarriers in de geneeskunde ('nanomedicine') biedt nieuwe mogelijkheden in de diagnostiek en behandeling van ziektes, variërend van beeldvorming tijdens chirurgische ingrepen tot de gerichte afgifte van medicijnen aan specifieke weefsels. De tot dusver geboekte vooruitgang in het gebruik van nanomedicijnen is veelbelovend, en toont aan dat de therapeutische toepassing van nanocarriers om ziektes zoals kanker te bestrijden, binnen handbereik is gekomen. De voor- en nadelen van de verschillende nanocarrier systemen, grofweg te onderscheiden in virale en niet-virale afgiftesystemen, zijn helder in kaart gebracht. Vanwege de mogelijk schadelijke immuunreacties bij het gebruik van virale nanocarriers en de beperkte mogelijkheden voor hun grootschalige produktie, heeft de ontwikkeling van de niet-virale systemen bijzondere aandacht gekregen. Echter, in vergelijking tot de virale carriers zijn de niet-virale nanocarriers minder efficiënt in de afgifte van medicijnen. De uitdaging ligt dan ook in het ontwikkelen van niet-virale nanocarriers die minstens zo effectief zijn in de mate van medicijnafgifte als de virale systemen. Om dit doel te bereiken is fundamentele kennis nodig van de mechanismen waarmee nanodeeltjes een interactie aangaan met cellen, en de wijze waarop de deeltjes door de cellen worden verwerkt en de medicijnen vervolgens worden afgeleverd. Dit proefschrift beschrijft de produktie en toepassing van een niet-virale nanocarrier, zogenaamde Solid Lipid Nanoparticles (SLNs) in de afgifte van geneesmiddelen aan prostaatkankercellen.The use of nanocarriers in medicine (‘nanomedicine’) has opened new avenues in diagnostics and treatment of disease, ranging from imaging in monitoring surgical treatment to targeting and delivery of drugs to specific tissues and cells. Progress made so far is promising, and has shown the development and application of a host of such devices as potentially versatile therapeutic weapons to fight diseases such as cancer. Inherently, these developments have also led to recognizing and identifying advantages and disadvantages of applied systems, in particular when comparing viral- and non-viral delivery devices. Non-viral delivery devices have attracted particular attention in light of potential harmful immunological responses in case of the use of virus-based carriers, as well as for its potential for large-scale production. However, the lower efficiency in cargo-delivery of non-viral delivery devices has triggered major efforts in devising particles with a higher efficiency of delivery in order to match that obtained with viral particles. To accomplish such a goal, fundamental knowledge of the underlying mechanisms as to how nanoparticles interact with and are processed by cells, is imperative. The aim of this thesis is to develop and investigate the potential application of a specific class of non-viral delivery devices, i.e., solid lipid nanoparticles (SLNs) as a resourceful tool for delivery of therapeutics (drugs and/or nucleic acids) into cancer cells

    Protective effect of N-acetylcysteine on the toxicity of silver nanoparticles:Bioavailability and toxicokinetics in Enchytraeus crypticus

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    We previously demonstrated that N-acetylcysteine (NAC) could reduce the toxicity of silver (Ag) materials (nanoparticles (NPs) and Ag nitrate) to the soil invertebrate Enchytraeus crypticus (Oligochaeta). It remains however, unclear whether the antitoxic mechanism of NAC was caused by NAC-Ag binding in the soil or inside the organisms. This study aimed at determining the bioavailability of Ag in the soil in a 21-day toxicity test as well as the Ag uptake and elimination kinetics in E. crypticus exposed to AgNPs in LUFA 2.2 standard soil amended with low (100 mg/kg dry soil) and high (600 mg/kg dry soil) NAC concentrations. The addition of NAC to the soil alleviated the toxicity of AgNPs by decreasing the internal Ag concentration of E. crypticus in a dose-dependent manner. Indeed, NAC reduced the binding of Ag to the soil, which probably was due to the formation of soluble but biologically unavailable Ag-cysteine complexes. The reduced Ag uptake in the enchytraeids was explained from an increased elimination at high NAC levels. These findings reinforce the view that metal complexing-compounds like NAC play a key role in the modulation of AgNP toxicity and bioavailability in terrestrial environments. Further, it may inform on the potential of NAC as a remediation solution for Ag or other metal-contaminated soils

    Leucine-Rich Diet Modulates the Metabolomic and Proteomic Profile of Skeletal Muscle during Cancer Cachexia

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    Background: Cancer-cachexia induces a variety of metabolic disorders, including skeletal muscle imbalance. Alternative therapy, as nutritional supplementation with leucine, shows a modulatory effect over tumour damage in vivo and in vitro. Method: Adult rats distributed into Control (C), Walker tumour-bearing (W), control fed a leucine-rich diet (L), and tumour-bearing fed a leucine-rich diet (WL) groups had the gastrocnemius muscle metabolomic and proteomic assays performed in parallel to in vitro assays. Results: W group presented an affected muscle metabolomic and proteomic profile mainly related to energy generation and carbohydrates catabolic processes, but leucine-supplemented group (WL) recovered the energy production. In vitro assay showed that cell proliferation, mitochondria number and oxygen consumption were higher under leucine effect than the tumour influence. Muscle proteomics results showed that the main affected cell component was mitochondria, leading to an impacted energy generation, including impairment in proteins of the tricarboxylic cycle and carbohydrates catabolic processes, which were modulated and improved by leucine treatment. Conclusion: In summary, we showed a beneficial effect of leucine upon mitochondria, providing information about the muscle glycolytic pathways used by this amino acid, where it can be associated with the preservation of morphometric parameters and consequent protection against the effects of cachexia

    Butyrate Protects Mice from Clostridium difficile-Induced Colitis through an HIF-1-Dependent Mechanism

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    Antibiotic-induced dysbiosis is a key factor predisposing intestinal infection by Clostridium difficile. Here, we show that interventions that restore butyrate intestinal levels mitigate clinical and pathological features of C. difficile-induced colitis. Butyrate has no effect on C. difficile colonization or toxin production. However, it attenuates intestinal inflammation and improves intestinal barrier function in infected mice, as shown by reduced intestinal epithelial permeability and bacterial translocation, effects associated with the increased expression of components of intestinal epithelial cell tight junctions. Activation of the transcription factor HIF-1 in intestinal epithelial cells exerts a protective effect in C. difficile-induced colitis, and it is required for butyrate effects. We conclude that butyrate protects intestinal epithelial cells from damage caused by C. difficile toxins via the stabilization of HIF-1, mitigating local inflammatory response and systemic consequences of the infection

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

    Get PDF

    Pervasive gaps in Amazonian ecological research

    Get PDF
    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost
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