Search results for "ARN"

showing 10 items of 8344 documents

Clearing Amyloid-β through PPARγ/ApoE Activation by Genistein is a Treatment of Experimental Alzheimer’s Disease

2016

Amyloid-b (Ab) clearance from brain, which is decreased in Alzheimer's disease, is facilitated by apolipoprotein E (ApoE). ApoE is upregulated by activation of the retinoid X receptor moiety of the RXR/PPAR dimeric receptor. As we have previously demonstrated, estrogenic compounds, such as genistein, have antioxidant activity, which can be evidenced by increased expression of manganese superoxide dismutase (MnSOD). Furthermore, genistein is a non-toxic, well-tested, and inexpensive drug that activates PPARg receptor. We isolated and cultured cortical astrocytes from dissected cerebral cortices of neonatal mice (C57BL/6 J). Preincubation with genistein (5 mM) for 24 hours, prior to the addit…

0301 basic medicineApolipoprotein EApolipoprotein BPeroxisome proliferator-activated receptorGenisteinPlaque Amyloid01 natural sciencesBiochemistrychemistry.chemical_compound0302 clinical medicine030212 general & internal medicineReceptorCells CulturedNootropic Agentschemistry.chemical_classificationbiologyGeneral NeuroscienceBrainGeneral MedicineGenisteinPsychiatry and Mental healthClinical PsychologyNeuroprotective AgentsFemalePeroxisome proliferator-activated receptor gammamedicine.medical_specialtyTetrahydronaphthalenesMice TransgenicRetinoid X receptor03 medical and health sciencesApolipoproteins EDownregulation and upregulationAlzheimer DiseaseIn vivoPhysiology (medical)Internal medicineAvoidance LearningmedicineAnimalsHabituation PsychophysiologicMaze LearningAmyloid beta-PeptidesRecognition PsychologyOlfactory Perception0104 chemical sciencesMice Inbred C57BLPPAR gamma010404 medicinal & biomolecular chemistryDisease Models Animal030104 developmental biologyEndocrinologychemistryBexaroteneAstrocytesbiology.proteinPhytoestrogensGeriatrics and Gerontology030217 neurology & neurosurgeryJournal of Alzheimer's Disease
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Risk Assessment of Hip Fracture Based on Machine Learning

2020

[EN] Identifying patients with high risk of hip fracture is a great challenge in osteoporosis clinical assessment. Bone Mineral Density (BMD) measured by Dual-Energy X-Ray Absorptiometry (DXA) is the current gold standard in osteoporosis clinical assessment. However, its classification accuracy is only around 65%. In order to improve this accuracy, this paper proposes the use of Machine Learning (ML) models trained with data from a biomechanical model that simulates a sideways-fall. Machine Learning (ML) models are models able to learn and to make predictions from data. During a training process, ML models learn a function that maps inputs and outputs without previous knowledge of the probl…

0301 basic medicineArticle SubjectProcess (engineering)Computer scienceQH301-705.5INGENIERIA MECANICAmedia_common.quotation_subjectOsteoporosisBiomedical EngineeringMedicine (miscellaneous)030209 endocrinology & metabolismBioengineeringMachine learningcomputer.software_genreRisk AssessmentMachine Learning03 medical and health sciencesHip Fracture0302 clinical medicinemedicine03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesSensitivity (control systems)Biology (General)media_commonHip fractureVariablesbusiness.industryGold standard (test)medicine.diseaseRandom forest030104 developmental biologyArtificial intelligenceRisk assessmentbusinessLENGUAJES Y SISTEMAS INFORMATICOScomputerTP248.13-248.65Research ArticleBiotechnologyApplied Bionics and Biomechanics
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Friedreich Ataxia: current state-of-the-art, and future prospects for mitochondrial-focused therapies

2021

Friedreichs Ataxia is an autosomal recessive genetic disease causing the defective gene product, frataxin. A body of literature has been focused on the attempts to counteract frataxin deficiency and the consequent iron imbalance, in order to mitigate the disease-associated prooxidant state and clinical course. The present mini review is aimed at evaluating the basic and clinical reports on the roles and the use of a set of iron chelators, antioxidants and some cofactors involved in the key mitochondrial functions. Extensive literature has focused on the protective roles of iron chelators, coenzyme Q10 and analogs, and vitamin E, altogether with varying outcomes in clinical studies. Other st…

0301 basic medicineAtaxiaUbiquinoneAlpha-Lipoic AcidDiseaseMitochondrionIron Chelating AgentsBioinformaticsAntioxidantsLinoleic Acid03 medical and health scienceschemistry.chemical_compound0302 clinical medicineCarnitinePhysiology (medical)AnimalsHumansMedicineDeferiproneCarnitineInner mitochondrial membraneCoenzyme Q10biologyAnimalbusiness.industryBiochemistry (medical)Public Health Environmental and Occupational HealthGeneral MedicineMitochondriaIron Chelating Agent030104 developmental biologyLinoleic AcidschemistryFriedreich Ataxia030220 oncology & carcinogenesisFrataxinbiology.proteinAntioxidantmedicine.symptombusinessHumanmedicine.drugTranslational Research
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Autism and carnitine: A possible link

2019

Patients with autism spectrum disorders (ASD) present deficits in social interactions and communication, they also show limited and stereotypical patterns of behaviors and interests. The pathophysiological bases of ASD have not been defined yet. Many factors seem to be involved in the onset of this disorder. These include genetic and environmental factors, but autism is not linked to a single origin, only. Autism onset can be connected with various factors such as metabolic disorders: including carnitine deficiency. Carnitine is a derivative of two amino acid lysine and methionine. Carnitine is a cofactor for a large family of enzymes: the carnitine acyltransferases. Through their action th…

0301 basic medicineAutismMetabolic homeostasisBioinformatics03 medical and health scienceschemistry.chemical_compound0302 clinical medicineCarnitinemental disordersmedicineDietary supplementationCarnitineMethioninebusiness.industryCarnitine AcyltransferasesMinireviewsmedicine.diseaseMetabolism disorderMetabolism030104 developmental biologychemistry030220 oncology & carcinogenesisPathophysiological basesNeurodevelopmentalAutismbusinessmedicine.drugWorld Journal of Biological Chemistry
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Exceptional Pattern Discovery

2017

This chapter is devoted to a discussion on exceptional pattern discovery, namely on scenarios, contexts, and techniques concerning the mining of patterns which are so rare or so frequent to be considered as exceptional and, then, of interest for an expert to shed lights on the domain. Frequent patterns have found broad applications in areas like association rule mining, indexing, and clustering [1, 20, 23]. The application of frequent patterns in classification also achieved some success in the classification of relational data [6, 13, 14, 19, 25], text [15], and graphs [7]. The part is organized as follows. First, the frequent pattern mining on classical datasets is presented. This is not …

0301 basic medicineBiological dataPoint (typography)Association rule learningComputer scienceRelational databasebusiness.industrySearch engine indexingcomputer.software_genreDomain (software engineering)Network pattern03 medical and health sciences030104 developmental biology0302 clinical medicineArtificial intelligenceCluster analysisbusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Deep learning in next-generation sequencing

2020

Highlights • Machine learning increasingly important for NGS. • Deep learning can improve many NGS applications.

0301 basic medicineBiomedical ResearchComputer scienceContext (language use)ComputerApplications_COMPUTERSINOTHERSYSTEMSReviewMachine learningcomputer.software_genre03 medical and health sciences0302 clinical medicineDeep LearningGene to ScreenDrug DiscoveryHumansPharmacologyFeature detection (web development)Network architectureArtificial neural networkbusiness.industryDeep learningHigh-Throughput Nucleotide SequencingMedical research030104 developmental biologyMetagenomics030220 oncology & carcinogenesisUnsupervised learningArtificial intelligenceMetagenomicsNeural Networks ComputerbusinesscomputerDrug Discovery Today
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A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning

2019

Immunotherapy by using immune checkpoint inhibitors (ICI) has dramatically improved the treatment options in various cancers, increasing survival rates for treated patients. Nevertheless, there are heterogeneous response rates to ICI among different cancer types, and even in the context of patients affected by a specific cancer. Thus, it becomes crucial to identify factors that predict the response to immunotherapeutic approaches. A comprehensive investigation of the mutational and immunological aspects of the tumor can be useful to obtain a robust prediction. By performing a pan-cancer analysis on gene expression data from the Cancer Genome Atlas (TCGA, 8055 cases and 29 cancer types), we …

0301 basic medicineCancer ResearchImmune checkpoint inhibitorsmedicine.medical_treatmentimmunology-pancancerimmune checkpoint inhibitorContext (language use)Machine learningcomputer.software_genrelcsh:RC254-282Article03 medical and health sciences0302 clinical medicinemedicineExtreme gradient boostingPan cancerbusiness.industryCancerImmunotherapylcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensMatthews correlation coefficientmedicine.diseaseSupport vector machine030104 developmental biologymachine learningOncology030220 oncology & carcinogenesisArtificial intelligencebusinesscomputerCancers
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Molecular pathway activation – New type of biomarkers for tumor morphology and personalized selection of target drugs

2018

Anticancer target drugs (ATDs) specifically bind and inhibit molecular targets that play important roles in cancer development and progression, being deeply implicated in intracellular signaling pathways. To date, hundreds of different ATDs were approved for clinical use in the different countries. Compared to previous chemotherapy treatments, ATDs often demonstrate reduced side effects and increased efficiency, but also have higher costs. However, the efficiency of ATDs for the advanced stage tumors is still insufficient. Different ATDs have different mechanisms of action and are effective in different cohorts of patients. Personalized approaches are therefore needed to select the best ATD…

0301 basic medicineCancer ResearchSystems biologymutation profilingAntineoplastic AgentsComputational biologyProteomics03 medical and health sciencesNeoplasmsmicroRNABiomarkers TumorHumanscancerMedicineMolecular Targeted TherapyEpigeneticsPrecision MedicineBiomedicinebusiness.industryGene Expression ProfilingCancerbioinformaticsmedicine.diseasePrecision medicinesignaling pathwaysGene Expression Regulation NeoplasticGene expression profilingmachine learning030104 developmental biologyCommentarybusinessSignal TransductionSeminars in Cancer Biology
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Imatinib-Loaded Micelles of Hyaluronic Acid Derivatives for Potential Treatment of Neovascular Ocular Diseases

2018

In this work, new micellar systems able to cross corneal barrier and to improve the permeation of imatinib free base were prepared and characterized. HA-EDA-C-16, HA-EDA-C-16-PEG, and HA-EDA-C-16-CRN micelles were synthesized starting from hyaluronic acid (HA), ethylenediamine (EDA), hexadecyl chains (C-16), polyethylene glycol (PEG), or L-carnitine (CRN). These nanocarriers showed optimal particle size and mucoadhesive properties. Imatinib-loaded micelles were able to interact with corneal barrier and to promote imatinib transcorneal permeation and penetration. In addition, a study was conducted to understand the in vitro imatinib inhibitory effect on a choroidal neovascularization process…

0301 basic medicineCell SurvivalDrug CompoundingPharmaceutical ScienceAdministration Ophthalmic02 engineering and technologyPolyethylene glycolMicellePermeabilityCell LinePolyethylene GlycolsCornea03 medical and health scienceschemistry.chemical_compoundocular drug delivery hyaluronic acid polymeric micelles imatinib transcorneal permeation ocular neovascular diseasesCarnitinehemic and lymphatic diseasesDrug DiscoveryHyaluronic acidPEG ratiomedicineocular drug delivery; hyaluronic acid; polymeric micelles; imatinib; transcorneal permeation; ocular neovascular diseasesAnimalsHumansHyaluronic AcidParticle SizeProtein Kinase InhibitorsneoplasmsMicellesDrug CarriersEndothelial CellsImatinibPermeation021001 nanoscience & nanotechnologyEthylenediaminesIn vitroChoroidal NeovascularizationDrug Liberation030104 developmental biologychemistrySettore CHIM/09 - Farmaceutico Tecnologico ApplicativoBiophysicsImatinib MesylateMolecular Medicinelipids (amino acids peptides and proteins)CattleNanocarriers0210 nano-technologymedicine.drug
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L-carnitine protects C2C12 cells against mitochondrial superoxide overproduction and cell death.

2017

International audience; AIMTo identify and characterize the protective effect that L-carnitine exerted against an oxidative stress in C2C12 cells.METHODSMyoblastic C2C12 cells were treated with menadione, a vitamin K analog that engenders oxidative stress, and the protective effect of L-carnitine (a nutrient involved in fatty acid metabolism and the control of the oxidative process), was assessed by monitoring various parameters related to the oxidative stress, autophagy and cell death.RESULTSAssociated with its physiological function, a muscle cell metabolism is highly dependent on oxygen and may produce reactive oxygen species (ROS), especially under pathological conditions. High levels o…

0301 basic medicineCell deathProgrammed cell deathMitochondrial superoxideMitochondrion03 medical and health sciences0302 clinical medicineSuperoxide anionsCarnitinemedicineCarnitineOverproductionOxygen specieschemistry.chemical_classificationReactive oxygen species[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringBasic Studymusculoskeletal systemReactive AutophagyCell biologyMitochondria030104 developmental biologychemistryMuscletissuesC2C12030217 neurology & neurosurgerymedicine.drugWorld journal of biological chemistry
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