Search results for "ASES"

showing 10 items of 26804 documents

Effects of gaseous and solid constituents of air pollution on endothelial function

2018

Abstract Ambient air pollution is a leading cause of non-communicable disease globally. The largest proportion of deaths and morbidity due to air pollution is now known to be due to cardiovascular disorders. Several particulate and gaseous air pollutants can trigger acute events (e.g. myocardial infarction, stroke, heart failure). While the mechanisms by which air pollutants cause cardiovascular events is undergoing continual refinement, the preponderant evidence support rapid effects of a diversity of pollutants including all particulate pollutants (e.g. course, fine, ultrafine particles) and gaseous pollutants such as ozone, on vascular function. Indeed alterations in endothelial function…

0301 basic medicineClinical ReviewFine particulateAir pollutionAir pollution030204 cardiovascular system & hematologymedicine.disease_cause03 medical and health sciencesGreenhouse Gases0302 clinical medicineOzoneRisk FactorsEnvironmental healthMedicineAnimalsHumansEndothelial dysfunctionNitrogen dioxidePollutantInflammationAir PollutantsHuman studiesAmbient air pollutionbusiness.industryEnvironmental ExposureParticulates3. Good healthEditor's Choice030104 developmental biology13. Climate actionCardiovascular DiseasesOxidative stressEndothelium VascularCurrent (fluid)Cardiology and Cardiovascular MedicinebusinessVascular functionParticulate matterTranslational MedicineEuropean Heart Journal
researchProduct

Antibacterial properties and reduction of MRSA biofilm with a dressing combining polyabsorbent fibres and a silver matrix

2016

Objective: This study was designed to evaluate the antibacterial activity of a wound dressing which combines polyacrylate fibres and a silver lipido-colloid matrix (UrgoClean Ag, silver polyabsorbent dressing), against biofilm of methicillin-resistant Staphylococcus aureus (MRSA). Method: Samples of silver polyabsorbent dressing and the neutral form of this dressing (UrgoClean) were applied to biofilms of MRSA formed on a collagen I-coated surface, cultured for 24 hours. Different exposure times were tested (1, 2, 4 and 7 days) without dressing change. The biofilm reduction was quantified by using culture methods and by confocal laser scanning microscopy experiments. Results: The applicatio…

0301 basic medicineColonizationNursing (miscellaneous)ResistanceMechanical effectMRSAmedicine.disease_causeDressing changeMatrix (chemical analysis)030207 dermatology & venereal diseases0302 clinical medicine[SDV.IDA]Life Sciences [q-bio]/Food engineeringContaining wound dressingseducation.field_of_studyBiofilm[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringSilver CompoundsHydrogelsAnti-Bacterial AgentsStaphylococcus aureusSilver-containing wound dressingPseudomonas aeruginosaPolyacrylate fibresAntibacterial activityMethicillin-Resistant Staphylococcus aureus030106 microbiologyPopulationStaphylococcus-aureus biofilmBurnMicrobiology03 medical and health sciencesmedicineConfocal laser scanning microscopyHumansPseudomonas-aeruginosa biofilmeducationWound HealingBacteriaPseudomonas aeruginosabusiness.industryIn-vitro modelHuman keratinocytesBiofilmbiochemical phenomena metabolism and nutritionBandagesBiofilmsWound InfectionAntimicrobial efficacyFundamentals and skillsAntibacterial activitybusinessNuclear chemistry
researchProduct

INFLAMMATORY BOWEL DISEASE, COLORECTAL CANCER AND TYPE 2 DIABETES MELLITUS: THE LINKS

2016

The co-occurrence of the three disease entities, inflammatory bowel disease (IBD), colorectal cancer (CRC), type 2diabetes mellitus (T2DM) along with inflammation and dismicrobism has been frequently reported. Some authors have even suggested that dysbiosis could be the link through a molecular crosstalk of multiple inflammatory loops including TGFβ, NFKB, TNFα and ROS among others. This review focuses on the inflammatory process along with the role of microbiota in the pathophysiology of the three diseases. The etiology of IBD is multifactorial, and like CRC and T2DM, it is associated with a widespread and sustained GI inflammation and dismicrobism, whereby an array of pro-inflammatory med…

0301 basic medicineColorectal cancerIBDT2DMInflammationDiseaseReviewSystemic inflammationProbioticInflammatory bowel diseasePathology and Forensic MedicinePathogenesis03 medical and health sciences0302 clinical medicinePhysiology (medical)medicineInflammationbusiness.industrymedicine.diseasedigestive system diseasesCRC030104 developmental biology030220 oncology & carcinogenesisImmunologyInflammatory Bowel diseases IBD colorectal cancer diabetes mellitusMolecular MedicineDysbiosisTumor necrosis factor alphamedicine.symptombusinessDysbiosis
researchProduct

[How some commensal bacteria would exacerbate colorectal carcinogenesis?].

2016

International audience; The gut microbiota maintains a relationship with its host with strong mutual benefits. Changes in the composition of the intestinal microbiota have been detected in colorectal cancer patients to the extent that it is now considered as a real contributing factor in this pathology. In this review, we focus on three commensal bacterial species, namely Bacteroides fragilis, Fusobacterium nucleatum, and Escherichia coli, which seem to emerge as pathogens and to contribute to colorectal carcinogenesis through their inflammatory and oncogenic properties.; Le microbiote intestinal entretient une relation mutualiste forte avec l’hôte. Depuis la mise en évidence de modificatio…

0301 basic medicineColorectal cancer[SDV]Life Sciences [q-bio]enterotoxigenic bacteroides-fragilis[SDV.CAN]Life Sciences [q-bio]/Cancer[ SDV.MP.BAC ] Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyGut floradnamedicine.disease_causeGeneral Biochemistry Genetics and Molecular Biology[ SDV.CAN ] Life Sciences [q-bio]/CancerMicrobiology03 medical and health sciences0302 clinical medicine[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologymedicineEscherichia colimucosatumorisgenesisComputingMilieux_MISCELLANEOUSGastrointestinal tract[ SDV ] Life Sciences [q-bio]biologyfusobacterium-nucleatumHost (biology)General Medicinebiology.organism_classificationmedicine.disease[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriologymicroenvironment3. Good healthstomatognathic diseasestumorigenesis030104 developmental biologyinflammation030220 oncology & carcinogenesisgutcellsBacteroides fragilisFusobacterium nucleatumCarcinogenesiscolon-cancer[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
researchProduct

DEBATE: Do interventions based on behavioral theory work in the real world?

2019

Abstract Background Behavioral scientists suggest that for behavior change interventions to work effectively, and deliver population-level health outcomes, they must be underpinned by behavioral theory. However, despite implementation of such interventions, population levels of both health outcomes and linked behaviors have remained relatively static. We debate the extent to which interventions based on behavioral theory work in the real world to address population health outcomes. Discussion Hagger argues there is substantive evidence supporting the efficacy and effectiveness of interventions based on behavioral theory in promoting population-level health behavior change in the ‘real world…

0301 basic medicineComparative Effectiveness ResearchEfficacyDebateApplied psychologyPopulationHealth BehaviorPsychological interventionMedicine (miscellaneous)Behavioural sciencesPhysical Therapy Sports Therapy and RehabilitationEffectivenessPopulation healthHealth behaviour changeMedical and Health SciencesEducation03 medical and health sciences0302 clinical medicineBehavior TherapyBehavioral and Social ScienceHumans030212 general & internal medicineCausationeducationlcsh:RC620-627education.field_of_studyBehavior030109 nutrition & dieteticsNutrition and DieteticsPopulation HealthBehavioural interventionsPreventionlcsh:Public aspects of medicineBehavior changelcsh:RA1-1270Health outcomeslcsh:Nutritional diseases. Deficiency diseasesParadigm shiftImplementationSpiteGeneric health relevancePublic HealthPsychologyInternational Journal of Behavioral Nutrition and Physical Activity
researchProduct

High fat diets for weight loss among subjects with elevated fasting glucose levels: The PREDIMED study

2020

Abstract Aim We studied fasting plasma glucose (FPG) as a determinant of weight change on high-fat diets in the PREDIMED trial. Methods A total of 3,622 participants were randomized to receive one of two Mediterranean diets (n = 2,616) or a control diet (n = 1,006) for 5 years and had complete data for baseline FPG and body-weight development. Weight change by pre-treatment FPG categories ( Results The two Mediterranean diets contained 41.5 E% fat, 16.5 E% protein, and 40 E% carbohydrate whereas the control diet contained 37.8 E% fat, 16.8 E% protein and 43.2 E% carbohydrate. In the Mediterranean diet groups, participants with FPG≥115 lost 1.04 kg (95% CI 0.68; 1.41, n = 1115) whereas parti…

0301 basic medicineComplete data030109 nutrition & dieteticsendocrine system diseasesMediterranean dietbusiness.industryEndocrinology Diabetes and MetabolismWeight changePublic Health Environmental and Occupational Healthnutritional and metabolic diseases030209 endocrinology & metabolismHigh fat dietCarbohydratePredimedFasting glucose03 medical and health sciences0302 clinical medicineAnimal scienceWeight lossInternal Medicinemedicinemedicine.symptombusinessObesity Medicine
researchProduct

Deep learning architectures for prediction of nucleosome positioning from sequences data

2018

Abstract Background Nucleosomes are DNA-histone complex, each wrapping about 150 pairs of double-stranded DNA. Their function is fundamental for one of the primary functions of Chromatin i.e. packing the DNA into the nucleus of the Eukaryote cells. Several biological studies have shown that the nucleosome positioning influences the regulation of cell type-specific gene activities. Moreover, computational studies have shown evidence of sequence specificity concerning the DNA fragment wrapped into nucleosomes, clearly underlined by the organization of particular DNA substrings. As the main consequence, the identification of nucleosomes on a genomic scale has been successfully performed by com…

0301 basic medicineComputer scienceCellBiochemistrychemistry.chemical_compound0302 clinical medicineStructural Biologylcsh:QH301-705.5Nucleosome classificationSequenceSettore INF/01 - InformaticabiologyApplied MathematicsEpigeneticComputer Science ApplicationsChromatinNucleosomesmedicine.anatomical_structurelcsh:R858-859.7EukaryoteDNA microarrayDatabases Nucleic AcidComputational biologySaccharomyces cerevisiaelcsh:Computer applications to medicine. Medical informatics03 medical and health sciencesDeep LearningmedicineNucleosomeAnimalsHumansEpigeneticsMolecular BiologyGeneBase Sequencebusiness.industryDeep learningResearchReproducibility of Resultsbiology.organism_classificationYeastNucleosome classification Epigenetic Deep learning networks Recurrent neural networks030104 developmental biologylcsh:Biology (General)chemistryRecurrent neural networksROC CurveDeep learning networksArtificial intelligenceNeural Networks Computerbusiness030217 neurology & neurosurgeryDNABMC Bioinformatics
researchProduct

Next-generation sequencing: big data meets high performance computing

2017

The progress of next-generation sequencing has a major impact on medical and genomic research. This high-throughput technology can now produce billions of short DNA or RNA fragments in excess of a few terabytes of data in a single run. This leads to massive datasets used by a wide range of applications including personalized cancer treatment and precision medicine. In addition to the hugely increased throughput, the cost of using high-throughput technologies has been dramatically decreasing. A low sequencing cost of around US$1000 per genome has now rendered large population-scale projects feasible. However, to make effective use of the produced data, the design of big data algorithms and t…

0301 basic medicineComputer scienceDistributed computingGenomic researchBig dataTerabyteComputing MethodologiesDNA sequencing03 medical and health sciences0302 clinical medicineDatabases GeneticDrug DiscoveryHumansThroughput (business)PharmacologyGenomebusiness.industryHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNAPrecision medicineSupercomputerData scienceCancer treatment030104 developmental biology030220 oncology & carcinogenesisbusinessAlgorithmsDrug Discovery Today
researchProduct

Network Analysis: Ten Years Shining Light on Host–Parasite Interactions

2020

Biological interactions are key drivers of ecological and evolutionary processes. The complexity of such interactions hinders our understanding of ecological systems and our ability to make effective predictions in changing environments. However, network analysis allows us to better tackle the complexity of ecosystems because it extracts the properties of an ecological system according to the number and distribution of links among interacting entities. The number of studies using network analysis to solve ecological and evolutionary questions in parasitology has increased over the past decade. Here, we synthesise the contribution of network analysis toward disentangling host-parasite proces…

0301 basic medicineComputer scienceEcology (disciplines)030231 tropical medicineEcological systems theoryModels BiologicalData scienceHost-Parasite Interactions03 medical and health sciences030104 developmental biology0302 clinical medicineInfectious DiseasesAnimalsParasitologyHost (network)Social Network AnalysisNetwork analysisTrends in Parasitology
researchProduct

A new parallel pipeline for DNA methylation analysis of long reads datasets

2017

Background DNA methylation is an important mechanism of epigenetic regulation in development and disease. New generation sequencers allow genome-wide measurements of the methylation status by reading short stretches of the DNA sequence (Methyl-seq). Several software tools for methylation analysis have been proposed over recent years. However, the current trend is that the new sequencers and the ones expected for an upcoming future yield sequences of increasing length, making these software tools inefficient and obsolete. Results In this paper, we propose a new software based on a strategy for methylation analysis of Methyl-seq sequencing data that requires much shorter execution times while…

0301 basic medicineComputer scienceParallel pipelineADN02 engineering and technologycomputer.software_genreBiochemistrySensitivity and SpecificityDNA sequencingEpigenesis Genetic03 medical and health scienceschemistry.chemical_compoundStructural BiologyRNA analysisInformàticaDatabases Genetic0202 electrical engineering electronic engineering information engineeringHumansEpigeneticsMolecular Biology020203 distributed computingDNA methylationGenome HumanApplied MathematicsParallel pipelineMethylationSequence Analysis DNASupercomputerComputer Science ApplicationsGenòmica030104 developmental biologychemistryGene Expression RegulationDNA methylationMutationData miningHigh performance computingDNA microarraycomputerSequence AlignmentDNASoftware
researchProduct