about
Circulating human monocytes in the acute coronary syndrome express a characteristic proteomic profile.A clinical perspective on the utility of alpha 1 antichymotrypsin for the early diagnosis of calcific aortic stenosis.Analysis of the plasma proteome associated with acute coronary syndrome: does a permanent protein signature exist in the plasma of ACS patients?A proteomic focus on the alterations occurring at the human atherosclerotic coronary intima.Metabolomic profiling for identification of novel potential biomarkers in cardiovascular diseases.Deregulation of smooth muscle cell cytoskeleton within the human atherosclerotic coronary media layer.Laser microdissection and saturation labeling DIGE method for the analysis of human arteries.MALDI-Imaging Mass Spectrometry: a step forward in the anatomopathological characterization of stenotic aortic valve tissue.KLK1 and ZG16B proteins and arginine-proline metabolism identified as novel targets to monitor atherosclerosis, acute coronary syndrome and recovery.iTRAQ proteomic analysis of extracellular matrix remodeling in aortic valve diseaseUrinary alpha-1 antitrypsin and CD59 glycoprotein predict albuminuria development in hypertensive patients under chronic renin-angiotensin system suppressionRecent advances in atherosclerosis-based proteomics: new biomarkers and a future perspective.Pharmacoproteomics in cardiac hypertrophy and atherosclerosis.Tissue proteomics in atherosclerosis: elucidating the molecular mechanisms of cardiovascular diseases.Vascular proteomics.Immune system deregulation in hypertensive patients chronically RAS suppressed developing albuminuria.Kalirin and CHD7: novel endothelial dysfunction indicators in circulating extracellular vesicles from hypertensive patients with albuminuria.Plasma Molecular Signatures in Hypertensive Patients With Renin-Angiotensin System Suppression: New Predictors of Renal Damage and De Novo Albuminuria Indicators.A novel methodology for the analysis of membrane and cytosolic sub-proteomes of erythrocytes by 2-DE.Cytoskeleton deregulation and impairment in amino acids and energy metabolism in early atherosclerosis at aortic tissue with reflection in plasma.Lipid and protein maps defining arterial layers in atherosclerotic aorta.Kidney tissue proteomics reveals regucalcin downregulation in response to diabetic nephropathy with reflection in urinary exosomes.[Cardiovascular risk study in patients with renin-angiotensin system blockade by means of the proteone of circulating extracellular vesicles].Urinary exosomes reveal protein signatures in hypertensive patients with albuminuria.Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease.Diabetic nephropathy induces changes in the proteome of human urinary exosomes as revealed by label-free comparative analysis.Atorvastatin modifies the protein profile of circulating human monocytes after an acute coronary syndrome.Citric Acid Metabolism in Resistant Hypertension: Underlying Mechanisms and Metabolic Prediction of Treatment Response.A role for the membrane proteome in human chronic kidney disease erythrocytes.Proteomic Analysis of Blood Extracellular Vesicles in Cardiovascular Disease by LC-MS/MS Analysis.Prediction of development and maintenance of high albuminuria during chronic renin-angiotensin suppression by plasma proteomics.Two-Dimensional Electrophoresis and Identification by Mass Spectrometry.Patients with calcific aortic stenosis exhibit systemic molecular evidence of ischemia, enhanced coagulation, oxidative stress and impaired cholesterol transport.Hypertensive patients exhibit an altered metabolism. A specific metabolite signature in urine is able to predict albuminuria progression.Molecular anatomy of ascending aorta in atherosclerosis by MS Imaging: Specific lipid and protein patterns reflect pathology.Author Correction: Immune system deregulation in hypertensive patients chronically RAS suppressed developing albuminuria.A comprehensive study of calcific aortic stenosis: from rabbit to human samples.Secretome analysis of atherosclerotic and non-atherosclerotic arteries reveals dynamic extracellular remodeling during pathogenesisIdentification of a circulating microvesicle protein network involved in ST-elevation myocardial infarctionProteomic characterization of human coronary thrombus in patients with ST-segment elevation acute myocardial infarction
P50
Q33271422-5A8AFA57-9F79-4EFE-8E99-26B57C8D3133Q33587444-66E5788B-186D-4088-9731-B2982833F597Q33624022-BF088A71-5BB2-4A5E-BC48-0175B30FD6E8Q33797542-379715A2-EC8C-46EC-8D2E-38B6E97507FEQ34497155-D4065046-0C15-47C8-A512-3F467882454AQ34594411-482AF738-7ABB-48BD-85F1-CBCF124746E3Q34667526-B0F889D2-F169-4FB4-BFC0-A94503C56C88Q36039005-4393F9DC-FC07-4ECC-9B23-0439068C99B9Q36069848-E484B168-DDE7-4318-BFE1-008F130F2DA1Q36333379-5C2D24DF-F210-4D6B-9A72-B7FE392BB52EQ36469066-FD32231F-E856-458B-859F-802924957E47Q37304123-884E6454-7AE3-4232-AC68-F9F60CD0C6E3Q37515699-303CC3F9-7713-449D-9DEF-A507D1CAC36FQ37579906-49EA1C80-EB84-4F59-97D6-10CCDFA39D20Q37817151-461E8054-CF4A-45CD-9E22-D05F391B010CQ38639083-DFA4800A-9B52-4522-A490-659D093471EDQ38762739-7A853DAD-A052-47A1-BB07-B7735DBF3537Q38863216-7F61F4A0-1DDE-44C2-AC38-55E186FDAC91Q39922833-8CEB08A7-3A47-4B2F-A44B-AB3B4F0DA3FAQ40203789-CAB9DBA5-0C3A-4F5D-B159-A62E1A559253Q40687789-73F84DAD-7632-478B-8376-FDEFC45E87C6Q40837912-D5F203B5-1795-42AB-98E1-5B2BF0636070Q40940959-B93141DB-AC18-4E6C-AD14-8B0D60C32300Q41279888-6EA7A2D3-869A-49E8-9BC5-FD7F8B54E575Q43529312-0D390CA0-021D-4FF7-B9B2-2D3EFE53ACD8Q45141290-3247206A-9CBD-46A4-84D6-BFC0F00906FFQ46084549-25530571-B97C-4309-A5DE-A40C35939DE8Q46311700-613D0EBE-DCDB-4AC1-ADB6-8390DCB4D8E4Q50506553-3447710A-86FA-4CB9-A000-A0713A64F631Q50908936-B672A569-A9B9-4D1A-A47B-AA2CDA32B85FQ50959333-FBCD403A-567E-4307-B10B-D98411B93E06Q51094879-A9AF876A-1E0E-4CF5-A223-D6ECC2C07D6CQ51418451-766D64B5-99B1-4D8B-9E7B-5C87A7EC4F32Q53058892-A0D2893F-FA22-40FF-9F45-E09B61220F5FQ53466638-1B378571-8060-4D6B-ACDE-31551A1D0484Q55272435-BE3070E1-658D-4941-8484-4EE847BAD42CQ55441114-C99F9B5F-0E64-49CF-8605-C01EA184D7B2Q61309759-3C57B44B-226C-4451-8238-A73D532729BEQ87373763-C504C581-A270-47A7-ABE8-0E67DCF14DE9Q87450699-4931DB56-2F58-4878-8729-3B6C76AB1C4A
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Fernando De la Cuesta
@ast
Fernando De la Cuesta
@en
Fernando De la Cuesta
@es
Fernando De la Cuesta
@nl
type
label
Fernando De la Cuesta
@ast
Fernando De la Cuesta
@en
Fernando De la Cuesta
@es
Fernando De la Cuesta
@nl
prefLabel
Fernando De la Cuesta
@ast
Fernando De la Cuesta
@en
Fernando De la Cuesta
@es
Fernando De la Cuesta
@nl
P106
P21
P31
P496
0000-0001-8761-7713