106 research outputs found

    Development and in vitro evaluation of a novel lipid nanocapsule formulation of etoposide.

    Get PDF
    Small cell lung cancer (SCLC) is the most aggressive carcinoma in thoracic oncology, unfortunately, despite chemotherapy, relapse is constant. The effect of etoposide, a major drug used against SCLC, can potentially be enhanced after its encapsulation in nanocarriers. The aim of this study was to use the technology of lipid nanocapsules (LNCs) to obtain nanocarriers with drug loadings compatible with clinical use and with an industrial process. Solubility studies with different co-solvent were first performed, then several process were developed to obtain LNCs. LNCs were then characterized (size, zeta potential, and drug loading). The best formulation called Ω-LNCs had a size of 54.1±2.0 nm and a zeta potential of -5.8±3.5 mV and a etoposide drug loading of 5.7±0.3mg/g. The characteristics of this formulation were maintained after freeze drying and after a 15× scale-up. Release studies in a media mimicking plasma composition showed that 40% of the drug was released from the LNCs after 48 h. Moreover the activity of etoposide after encapsulation was enhanced on H209 cells, IC50 was 100 μM and 2.5 μM for etoposide and etoposide LNCs respectively. Unfortunately the formulation failed to be more cytotoxic than etoposide alone on H69AR cells that are resistant to etoposide. This study showed that is was possible to obtain a new etoposide nanocarrier without the use of organic solvent, that the process is suitable for scale-up and freeze drying and finally that etoposide activity is maintained which is very promising for future treatment of SCLC

    The adaptation of lipid nanocapsule formulations for blood administration in animals

    Get PDF
    In many cell-culture and animal models, the therapeutic effects of the entrapped drugs in lipid nanocapsules (LNCs) were preserved with low toxicity. These results allow foreseeing further preclinical efficiency and toxicity studies in animals. In this article, preliminary studies were performed to check the genetically modified organism (GMO) status of the LNCs components and to determine the effects of the acidity of the LNCs dispersions in acid–base balance in rats. Then, several freezing protocols to store paclitaxel-loaded LNCs dispersions for a 6-month period were compared. Results indicate that the Lipoïd® S75-3 could not be certified GMO-free. The same soya bean lecithin certified to be GMO-free permitted to produce LNCs with expected characteristics. The blood administration of blank LNCs dispersions in rats induced no modifications of blood acidity, but a significant decrease of the base excess was observed. Injections of LNCs dispersions in animals might induce iatrogenic acidosis. We finally demonstrated that the best protocol to store LNCs dispersion for a 6-month period is by freezing in liquid nitrogen. This protocol minimized the characteristics modifications and interrupted the drug-release phenomenon. These original data are expected to prepare of LNCs dispersions well adapted for i.v. administration in animals

    Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members

    Get PDF
    Adult neural stem cells and multiciliated ependymalcells are glial cells essential for neurological func-tions. Together, they make up the adult neurogenicniche. Using both high-throughput clonal analysisand single-cell resolution of progenitor division pat-terns and fate, we show that these two componentsof the neurogenic niche are lineally related: adult neu-ral stem cells are sister cells to ependymal cells,whereas most ependymal cells arise from the termi-nal symmetric divisions of the lineage. Unexpectedly,we found that the antagonist regulators of DNA repli-cation, GemC1 and Geminin, can tune the proportionof neural stem cells and ependymal cells. Our find-ings reveal the controlled dynamic of the neurogenicniche ontogeny and identify the Geminin familymembers as key regulators of the initial pool of adultneural stem cells

    Brain tumour targeting strategies via coated ferrociphenol lipid nanocapsules

    Get PDF
    In this study, a new active targeting strategy to favour ferrociphenol (FcdiOH) internalisation into brain tumour cells was developed by the use of lipid nanocapsules (LNCs) coated with a cell-internalising peptide (NFL-TBS peptide) that interacts with tubulin-binding sites. In comparison, OX26 murine monoclonal antibodies (OX26-MAb) targeting transferrin receptors were also inserted onto LNC surface. The incorporation of OX26 or peptide did not influence the in vitro antiproliferative effect of FcdiOH-LNCs on the 9L cells since their IC50 values were found in the same range. In vivo, intracerebral administration of OX26-FcdiOH-LNCs or peptide-FcdiOH-LNCs by convection enhanced delivery did not enhance the animal median survival time in comparison with untreated rats (25days). Interestingly, intra-carotid treatment with peptide-FcdiOH-LNCs led to an ameliorated survival time of treated rats with the presence of animals surviving until days 35, 40 and 44. Such results were not obtained with OX26-MAbs, demonstrating the benefit of NFL-TBS peptide as an active ligand for peripheral drug delivery to the brain tumours

    Stochastic and epistemic uncertainty propagation in LCA

    Get PDF
    Purpose: When performing uncertainty propagation, most LCA practitioners choose to represent uncertainties by single probability distributions and to propagate them using stochastic methods. However the selection of single probability distributions appears often arbitrary when faced with scarce information or expert judgement (epistemic uncertainty). Possibility theory has been developed over the last decades to address this problem. The objective of this study is to present a methodology that combines probability and possibility theories to represent stochastic and epistemic uncertainties in a consistent manner and apply it to LCA. A case study is used to show the uncertainty propagation performed with the proposed method and compare it to propagation performed using probability and possibility theories alone. Methods: Basic knowledge on the probability theory is first recalled, followed by a detailed description of hal-00811827, version 1- 11 Apr 2013 epistemic uncertainty representation using fuzzy intervals. The propagation methods used are the Monte Carlo analysis for probability distribution and an optimisation on alpha-cuts for fuzzy intervals. The proposed method (noted IRS) generalizes the process of random sampling to probability distributions as well as fuzzy intervals, thus making the simultaneous use of both representations possible

    An environmental evaluation of food waste downstream management options: a hybrid LCA approach

    Get PDF
    Food waste treatment methods have been typically analysed using current energy generation conditions. To correctly evaluate treatment methods, they must be compared under existing and potential decarbonisation scenarios. This paper holistically quantifies the environmental impacts of three food waste downstream management options—incineration, composting, and anaerobic digestion (AD). Methods The assessment was carried out using a novel hybrid input–output-based life cycle assessment method (LCA), for 2014, and in a future decarbonised economy. The method introduces expanded system boundaries which reduced the level of incompleteness, a previous limitation of process-based LCA. Results Using the 2014 UK energy mix, composting achieved the best score for seven of 14 environmental impacts, while AD scored second best for ten. Incineration had the highest environmental burdens in six impacts. Uncertainties in the LCA data made it difficult determine best treatment option. There was significant environmental impact from capital goods, meaning current treatment facilities should be used for their full lifespan. Hybrid IO LCA’s included additional processes and reduced truncation error increasing overall captured environmental impacts of composting, AD, and incineration by 26, 10 and 26%, respectively. Sensitivity and Monte Carlo analysis evaluate the methods robustness and illustrate the uncertainty of current LCA methods. Major implication: hybrid IO-LCA approaches must become the new norm for LCA. Conclusion This study provided a deeper insight of the overall environmental performance of downstream food waste treatment options including ecological burdens associated with capital goods. Keywords Anaerobic digestion Incineration Composting Food waste Hybrid life cycle assessment Capital good
    corecore