Search results for "MESH: Diabetes Mellitus"

showing 3 items of 3 documents

Intravoxel incoherent motion diffusion-weighted imaging in nonalcoholic fatty liver disease: a 3.0-T MR study.

2012

International audience; PURPOSE: To compare pure molecular diffusion, D, perfusion-related diffusion, D*, and perfusion fraction, f, determined from diffusion-weighted (DW) magnetic resonance (MR) imaging on the basis of the intravoxel incoherent motion (IVIM) theory in patients with type 2 diabetes with and without liver steatosis. MATERIALS AND METHODS: This prospective study was approved by the appropriate ethics committee, and written informed consent was obtained from all patients. Between December 2009 and September 2011, 108 patients with type 2 diabetes (51 men, 57 women; mean age, 50 years) underwent 3.0-T single-voxel point-resolved proton MR spectroscopy of the liver (segment VII…

MaleCirrhosisMagnetic Resonance SpectroscopyMESH : Fatty Liver[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingMESH : AgedMESH : Prospective Studies030218 nuclear medicine & medical imagingMESH: Linear Models0302 clinical medicineNuclear magnetic resonanceMESH: Aged 80 and overMESH : Diabetes Mellitus Type 2Non-alcoholic Fatty Liver DiseaseMESH : Linear ModelsNonalcoholic fatty liver diseaseMESH : FemaleProspective StudiesMESH: Fatty LiverIntravoxel incoherent motion[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingAged 80 and overMESH: AgedMESH: Statistics NonparametricMESH: Middle Aged[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingFatty liverMiddle AgedMESH : AdultMESH : Diffusion Magnetic Resonance Imaging3. Good health030220 oncology & carcinogenesisPotential confounderFemaleRadiologyMESH: Diabetes Mellitus Type 2Adultmedicine.medical_specialtyMESH : MaleMESH: Diffusion Magnetic Resonance ImagingStatistics Nonparametric03 medical and health sciencesmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumansRadiology Nuclear Medicine and imagingMESH : Middle AgedMESH : Aged 80 and overMESH : Statistics NonparametricAgedMESH: Humansbusiness.industryMESH: Magnetic Resonance SpectroscopyMESH : HumansMESH: Biological MarkersMESH: Adultmedicine.diseaseMr imagingMESH: MaleMESH: Prospective StudiesFatty LiverMESH : Biological MarkersDiffusion Magnetic Resonance ImagingDiabetes Mellitus Type 2Linear ModelsMESH : Magnetic Resonance SpectroscopySteatosisbusinessMESH: FemaleBiomarkersDiffusion MRI
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ST-segment elevation myocardial infarction: Management and association with prognosis during the COVID-19 pandemic in France.

2021

Systems of care have been challenged to control progression of the COVID-19 pandemic. Whether this has been associated with delayed reperfusion and worse outcomes in French patients with ST-segment elevation myocardial infarction (STEMI) is unknown.Aim: To compare the rate of STEMI admissions, treatment delays, and outcomes between the first peak of the COVID-19 pandemic in France and the equivalent period in 2019.Methods: In this nationwide French survey, data from consecutive STEMI patients from 65 centres referred for urgent revascularization between 1 March and 31 May 2020, and between 1 March and 31 May 2019, were analysed. The primary outcome was a composite of in-hospital death or no…

MaleMESH: Hyperlipidemiasmedicine.medical_treatmentMESH: ComorbidityComorbidity030204 cardiovascular system & hematologyMESH: Health Care SurveysMESH: HypertensionMESH: Procedures and Techniques Utilization0302 clinical medicinePatient AdmissionInterquartile rangeMESH: Risk FactorsRisk FactorsST segmentMESH: COVID-19030212 general & internal medicineMyocardial infarctionHospital MortalityMESH: Treatment Outcomeeducation.field_of_studyMESH: Middle AgedCardiogenic shockSmokingMESH: Patient Acceptance of Health CareGeneral MedicineMESH: Heart Rupture Post-InfarctionMiddle AgedPrognosis[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemTreatment OutcomeHypertensionCardiologyFemaleStentsFranceCardiology and Cardiovascular MedicineSCA ST+MESH: Percutaneous Coronary Interventionmedicine.medical_specialtyMESH: PandemicsMESH: SmokingMESH: Diabetes MellitusPopulationComplications mécaniquesHyperlipidemiasRevascularizationMESH: PrognosisTime-to-TreatmentSTEMI03 medical and health sciencesPercutaneous Coronary Intervention[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemInternal medicineLockdownmedicineDiabetes MellitusHumansMESH: SARS-CoV-2MESH: Time-to-TreatmentMESH: Hospital MortalityMESH: ST Elevation Myocardial InfarctioneducationPandemicsHeart Rupture Post-InfarctionMESH: Humansbusiness.industryMESH: Patient AdmissionSARS-CoV-2Percutaneous coronary interventionCOVID-19Patient Acceptance of Health Caremedicine.diseaseComorbidityMESH: MaleMESH: FranceMESH: Stents[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieHealth Care SurveysST Elevation Myocardial Infarction[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieMechanical complicationsbusinessMESH: FemaleProcedures and Techniques UtilizationConfinementArchives of cardiovascular diseases
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Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.

2011

One major expectation from the transcriptome in humans is to characterize the biological basis of associations identified by genome-wide association studies. So far, few cis expression quantitative trait loci (eQTLs) have been reliably related to disease susceptibility. Trans-regulating mechanisms may play a more prominent role in disease susceptibility. We analyzed 12,808 genes detected in at least 5% of circulating monocyte samples from a population-based sample of 1,490 European unrelated subjects. We applied a method of extraction of expression patterns—independent component analysis—to identify sets of co-regulated genes. These patterns were then related to 675,350 SNPs to identify maj…

MaleCancer ResearchGene ExpressionGenome-wide association studyGenetic NetworksCoronary Artery Disease[SDV.GEN] Life Sciences [q-bio]/GeneticsCardiovascularMESH: MonocytesMonocytesMESH: HypertensionTranscriptomes0302 clinical medicineMESH: ProteinsMESH: Genetic VariationGenetics (clinical)GeneticsMESH: Aged0303 health scienceseducation.field_of_studyMESH: Middle AgedMESH: Polymorphism Single NucleotideIntracellular Signaling Peptides and ProteinsMESH: Genetic Predisposition to DiseaseGenomicsMESH: Transcription FactorsMiddle AgedMESH: Ribosomal ProteinsMESH: Gene Expression Regulation3. Good healthHypertensionMedicineFemaleMESH: Diabetes Mellitus Type 1Research ArticleAdultRibosomal Proteinslcsh:QH426-470PopulationQuantitative Trait LociLocus (genetics)Single-nucleotide polymorphismBiologyQuantitative trait locusPolymorphism Single Nucleotide03 medical and health sciencesMESH: Gene Expression ProfilingGenome Analysis ToolsGeneticsGenome-Wide Association StudiesHumansGenetic Predisposition to DiseaseGene NetworkseducationMolecular BiologyBiologyEcology Evolution Behavior and SystematicsMESH: Genome Human030304 developmental biologyGenetic associationAdaptor Proteins Signal TransducingAged[SDV.GEN]Life Sciences [q-bio]/GeneticsMESH: HumansGenome HumanGene Expression ProfilingGenetic VariationProteinsHuman GeneticsMESH: AdultAtherosclerosisMESH: MaleMESH: Quantitative Trait LociGene expression profilingCeliac Diseaselcsh:GeneticsDiabetes Mellitus Type 1Gene Expression RegulationExpression quantitative trait lociGenetics of DiseaseMESH: Genome-Wide Association StudyMESH: MuramidaseMuramidaseGenome Expression AnalysisMESH: Female030217 neurology & neurosurgeryMESH: Celiac DiseaseGenome-Wide Association StudyTranscription Factors
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