Search results for " In vitro model"

showing 7 items of 7 documents

Engineering approaches in siRNA delivery.

2017

siRNAs are very potent drug molecules, able to silence genes involved in pathologies development. siRNAs have virtually an unlimited therapeutic potential, particularly for the treatment of inflammatory diseases. However, their use in clinical practice is limited because of their unfavorable properties to interact and not to degrade in physiological environments. In particular they are large macromolecules, negatively charged, which undergo rapid degradation by plasmatic enzymes, are subject to fast renal clearance/hepatic sequestration, and can hardly cross cellular membranes. These aspects seriously impair siRNAs as therapeutics. As in all the other fields of science, siRNAs management ca…

0301 basic medicine3003siRNAs Delivery vectors in vitro models Mathematical modeling Physical modelingDelivery vectors; In vitro models; Mathematical modeling; Physical modeling; SiRNAs; 3003Pharmaceutical ScienceNanotechnology02 engineering and technologyComputational biologyBiology03 medical and health sciencesDrug Delivery SystemsHumanssiRNAs; Delivery vectors; in vitro models; Mathematical modeling; Physical modelingRNA Small Interferingin vitro modelsPhysical modelingSettore ING-IND/34 - Bioingegneria IndustrialeHydrogelsDelivery vectorsModels Theoretical021001 nanoscience & nanotechnologyDelivery vectorsiRNAsClinical PracticeHydrogel030104 developmental biologyin vitro modelsiRNAMathematical modeling0210 nano-technologyBlood streamDrug Delivery SystemClearanceHumanInternational journal of pharmaceutics
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Impact of plant sterols enrichment dose on gut microbiota from lean and obese subjects using TIM-2 in vitro fermentation model

2019

There are scarce data on plant sterols (PS) and gut microbiota relationship. The purpose of this study is to compare the interaction between PS and gut microbiota through in vitro colonic fermentation studies using a validated system (TIM-2) with a PS-enriched dose (similar to 2 g/day) from two sources (food PS-source ingredient and commercial standard) using microbiota from lean and obese populations. Fecal sterols, short chain fatty acids (SCFA) and microbiota composition were determined by GC/MS, IEC, and 16S-sequencing, respectively.PS-feeding decreased coprostanol and ethylcoprostanol concentration and increased the production of acetate and butyrate (mainly with lean microbiota). In a…

0301 basic medicineCHROMATOGRAPHYMedicine (miscellaneous)ButyrateGut microbiotaGut floradigestive systemPlant sterolsNEUTRAL STEROLS03 medical and health sciencesIngredientchemistry.chemical_compoundBUTYRATE0404 agricultural biotechnologyfluids and secretionsTX341-641Food scienceFecesBILE-ACIDS030109 nutrition & dieteticsNutrition and DieteticsbiologyPHYTOSTEROLSCholesterolNutrition. Foods and food supplyCHOLESTEROLHUMANSShort chain fatty acids04 agricultural and veterinary sciencesbiology.organism_classificationCANCER040401 food scienceIn vitroPRODUCTSCoprostanolCHAIN FATTY-ACIDSchemistryFermentationTIM-2 in vitro modelFecal sterolsFood ScienceJournal of Functional Foods
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A three-cell type in vitro-model of BBB

2005

BBB in vitro model brain cells
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Transcriptomic responses generated by hepatocarcinogens in a battery of liver-based in vitro models

2013

As the conventional approach to assess the potential of a chemical to cause cancer in humans still includes the 2-year rodent carcinogenicity bioassay, development of alternative methodologies is needed. In the present study, the transcriptomics responses following exposure to genotoxic (GTX) and non-genotoxic (NGTX) hepatocarcinogens and non-carcinogens (NC) in five liver-based in vitro models, namely conventional and epigenetically stabilized cultures of primary rat hepatocytes, the human hepatoma-derived cell lines HepaRG and HepG2 and human embryonic stem cell-derived hepatocyte-like cells, are examined. For full characterization of the systems, several bioinformatics approaches are emp…

Cancer ResearchGene Expressiongene expression profilingComputational biologyBiologyPharmacologyTranscriptomeRats Sprague-Dawley03 medical and health sciences0302 clinical medicineCell Line TumorBioassayAnimalsHumansGeneCarcinogenEmbryonic Stem Cells030304 developmental biology0303 health sciencesGene Expression ProfilingLiver Neoplasmspathwaysbased analysis liver-based in vitro modelGeneral MedicineHep G2 CellsEmbryonic stem cellIn vitro3. Good healthRatsgenotoxic carcinogens non-genotoxic carcinogensGene expression profilingLiverCell culture030220 oncology & carcinogenesisCarcinogensHepatocytesTumor Suppressor Protein p53TranscriptomeMutagens
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Neuronal and BBB damage induced by sera from patients with secondary progressive multiple sclerosis.

2009

An important component of the pathogenic process of multiple sclerosis (MS) is the blood-brain barrier (BBB) damage. We recently set an in vitro model of BBB, based on a three-cell-type co-culture system, in which rat neurons and astrocytes synergistically induce brain capillary endothelial cells to form a monolayer with permeability properties resembling those of the physiological BBB. Herein we report that the serum from patients with secondary progressive multiple sclerosis (SPMS) has a damaging effect on isolated neurons. This finding suggests that neuronal damaging in MS could be a primary event and not only secondary to myelin damage, as generally assumed. SPMS serum affects the perme…

Pathologymedicine.medical_specialtyProgrammed cell deathBlotting WesternBiologyImmunofluorescenceOccludinModels BiologicalMyelinWestern blotOccludinGeneticsmedicineElectric ImpedanceAnimalsmultiple sclerosis brain cell cultures in vitro models of blood-brain barrier neuronal cell death transendothelial electrical resistanceMicroscopy Phase-ContrastRats WistarCells CulturedNeuronsmedicine.diagnostic_testTight junctionCell DeathMultiple sclerosisMembrane ProteinsGeneral MedicineMultiple Sclerosis Chronic Progressivemedicine.diseaseImmunohistochemistryRatsBlotmedicine.anatomical_structurenervous systemBlood-Brain BarrierAstrocytescardiovascular systemInternational journal of molecular medicine
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A High-Throughput Mechanical Activator for Cartilage Engineering Enables Rapid Screening of in vitro Response of Tissue Models to Physiological and S…

2021

Articular cartilage is crucially influenced by loading during development, health, and disease. However, our knowledge of the mechanical conditions that promote engineered cartilage maturation or tissue repair is still incomplete. Current in vitro models that allow precise control of the local mechanical environment have been dramatically limited by very low throughput, usually just a few specimens per experiment. To overcome this constraint, we have developed a new device for the high throughput compressive loading of tissue constructs: the High Throughput Mechanical Activator for Cartilage Engineering (HiT-MACE), which allows the mechanoactivation of 6 times more samples than current tech…

Settore ING-IND/24 - Principi Di Ingegneria ChimicaHistologyAnabolismActivator (genetics)ChemistryCartilageCartilage In vitro model Mechanical activation Mechanobiology Post-traumatic osteoarthritisSettore ING-IND/34 - Bioingegneria IndustrialeOsteoarthritismedicine.diseaseIn vitroIn vitro modelMechanobiologymedicine.anatomical_structuremedicineAnatomyThroughput (business)Biomedical engineeringCells, tissues, organs
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Testing chemical carcinogenicity by using a transcriptomics HepaRG-based model?

2014

The EU FP6 project carcinoGENOMICS explored the combination of toxicogenomics and in vitro cell culture models for identifying organotypical genotoxic- and non-genotoxic carcinogen- specific gene signatures. Here the performance of its gene classifier, derived from exposure of metabolically competent human HepaRG cells to prototypical non-carcinogens (10 compounds) and hepatocarcinogens (20 compounds), is reported. Analysis of the data at the gene and the pathway level by using independent biostatistical approaches showed a distinct separation of genotoxic from non-genotoxic hepatocarcinogens and non-carcinogens (up to 88 % correct prediction). The most characteristic pathway responding to …

genotoxic carcinogensHepaRG cell linenon-genotoxic carcinogenspathways-based analysisliver-based in vitro modelsgene expression profiling610Original Articleinfo:eu-repo/classification/ddc/610
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