Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
about
Biomarkers in diabetes: hemoglobin A1c, vascular and tissue markersMetabolomics in plants and humans: applications in the prevention and diagnosis of diseasesApplying metabolomics to cardiometabolic intervention studies and trials: past experiences and a roadmap for the futureMicroRNAs 9 and 370 Association with Biochemical Markers in T2D and CAD Complication of T2DImpact of delivery models on understanding genomic risk for type 2 diabetesMetabolomic Analysis Reveals Amino Acid Responses to an Oral Glucose Tolerance Test in Women with Prior History of Gestational Diabetes Mellitus.Comprehensive biomarker testing of glycemia, insulin resistance, and beta cell function has greater sensitivity to detect diabetes risk than fasting glucose and HbA1c and is associated with improved glycemic control in clinical practiceMolecular mechanisms of vascular dysfunction and cardiovascular biomarkers in type 2 diabetes.Real-time digitization of metabolomics patterns from a living system using mass spectrometry.BiomarCaRE: rationale and design of the European BiomarCaRE project including 300,000 participants from 13 European countriesThe myriad essential roles of microRNAs in cardiovascular homeostasis and disease.Systems Epidemiology: A New Direction in Nutrition and Metabolic Disease ResearchBiological effects of add-on eicosapentaenoic acid supplementation in diabetes mellitus and co-morbid depression: a randomized controlled trial.The emergence of proton nuclear magnetic resonance metabolomics in the cardiovascular arena as viewed from a clinical perspectiveLiver function tests and risk prediction of incident type 2 diabetes: evaluation in two independent cohorts.Proteomic analysis in type 2 diabetes patients before and after a very low calorie diet reveals potential disease state and intervention specific biomarkers.Should physical activity recommendations be ethnicity-specific? Evidence from a cross-sectional study of South Asian and European men.Metabonomic study of biochemical changes in urinary of type 2 diabetes mellitus patients after the treatment of sulfonylurea antidiabetic drugs based on ultra-performance liquid chromatography/mass spectrometry.Severity of nonalcoholic fatty liver disease and progression to cirrhosis are associated with atherogenic lipoprotein profile.Literature-based discovery of salivary biomarkers for type 2 diabetes mellitus.The Human Blood Metabolome-Transcriptome InterfacePathobiochemical changes in diabetic skeletal muscle as revealed by mass-spectrometry-based proteomicsCirculating, imaging, and genetic biomarkers in cardiovascular risk predictionA composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder.Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women.Potential association between coronary artery disease and the inflammatory biomarker YKL-40 in asymptomatic patients with type 2 diabetes mellitus.Microvesicles/exosomes as potential novel biomarkers of metabolic diseasesA rodent model of rapid-onset diabetes induced by glucocorticoids and high-fat feeding.High levels of lipoprotein(a) are associated with a lower prevalence of diabetes with advancing age: results of a cross-sectional epidemiological survey in Gran Canaria, Spain.Metabolic biomarkers for predicting cardiovascular disease.Effects of Berries Consumption on Cardiovascular Risk Factors: A Meta-analysis with Trial Sequential Analysis of Randomized Controlled TrialsCohort profile: the German Diabetes Study (GDS).Type 2 diabetes: prevalence and relevance of genetic and acquired factors for its prediction.A novel fasting blood test for insulin resistance and prediabetes.Adrenomedullin is up-regulated in patients with pancreatic cancer and causes insulin resistance in β cells and miceRole of miRNAs in Epicardial Adipose Tissue in CAD Patients with T2DM.Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling.Association between high-normal levels of alanine aminotransferase and risk factors for atherogenesis.Impact of weight loss on oxidative stress and inflammatory cytokines in obese type 2 diabetic patients.Evaluation of the relationship between circulating omentin-1 concentrations and components of the metabolic syndrome in adults without type 2 diabetes or cardiovascular disease.
P2860
Q26996480-65780DC8-28ED-4BF2-9DDA-751F3793E074Q27016117-1DF31611-7B6D-403F-919D-5EE8B6474925Q28074451-2528C52E-3D3A-4C8C-A8A7-F7FDCF8F33A3Q28547296-3C5DF648-1CD1-4823-8EAE-EA5ED4807AB4Q33637558-E085BF54-0F6F-4592-A1C5-3C6E338302E4Q33738286-EF9F68FB-5677-4F19-9D85-610199E210B8Q34062993-042B019C-19BC-4989-A82A-0A25FE346CF3Q34099937-D56F95D5-C42A-4981-9ADE-AE46277A2F29Q34175477-3569271C-EC7F-4229-BF79-CBCCA9163BD8Q34340697-2057759D-F3B3-486C-8190-CB90737AE93EQ34356918-45A6B0B4-DC61-4BE9-B39B-B22B3D16BB34Q34388081-5795024A-AA15-4AD2-B061-04ECF55A64CDQ34499654-3FC7000E-A31A-4BA0-9508-3C7789714F95Q34513438-6960127E-AE81-4A2F-A466-4C2B2C743CB4Q34531926-9AC617E4-6DFE-4251-8538-F40C926EEA6EQ34557152-1A822800-F9E7-41C6-B8FE-AFB55476B8FEQ35070378-CDE48C24-E292-4AEE-BC09-507F77498BB8Q35180301-B99EF2C6-2B0D-47C0-B32C-BD5712BE37D0Q35395228-252C6C92-70EE-45A0-8858-DFEE925FAAE5Q35610345-5558E509-0A2E-4E0A-ACD8-7312AE01E0D7Q35666911-A10F9269-A653-4B43-8447-6677A70B7A12Q35864829-F736C4C2-9088-451E-AF47-BFFF44B1136AQ36037541-DEE59771-C67E-4CF7-BC00-EFE7D530E672Q36043355-BDFDEA6C-FFDA-42BB-B87F-CF1A6F6F8BF6Q36056872-AB3907B9-7DCD-48E1-81EB-63365F77F7A5Q36136647-EAF2B967-DF8D-45DC-9D59-23620072B7E1Q36175435-9E2E973F-60F5-42DB-A009-524913FE1963Q36179979-2BA50E1B-5CD7-4493-84A0-A2E5B0029640Q36232784-DA134CAB-5B66-440D-9569-0019FBA41749Q36584772-2D8AA711-B78B-4EBE-9AA0-54A94C64AB67Q36719556-7BD8A5A1-166F-49BF-BF2C-EA17D825B099Q36774677-723D7A12-BC83-4151-9813-03F7034645A0Q36904049-2BD38EDA-B00B-4159-B5DF-E52A63C09F29Q36954280-FBE135FB-B86A-4694-92C1-7960D2D08862Q37208751-A92A4688-C2D6-4544-A4B4-D70F5C972829Q37212231-8921E7AA-4A9E-486A-ACAC-623E06BAFA04Q37279013-7843425F-049B-4791-AF3D-D3C357AFB23EQ37341485-D4E63F38-DE0D-46E1-8801-875C90A2191AQ37418336-271A7989-B291-4305-8F61-7D2260E85DE7Q37514552-0386E4CB-60AA-4D6F-BA7E-3A767EA7ACFC
P2860
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 08 June 2011
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
@en
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
@nl
type
label
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
@en
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
@nl
prefLabel
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
@en
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
@nl
P2860
P921
P356
P1476
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease.
@en
P2093
P2860
P2888
P356
10.1038/CLPT.2011.93
P407
P577
2011-06-08T00:00:00Z
P6179
1026558990