318 results on '"Wiek H. van Gilst"'
Search Results
302. 825-4 Effect of fosinopril and pravastatin on carotid intima-Media-thickness in microalbuminuric subjects without hypertension or hypercholesterolemia
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Wiek H. van Gilst, Folkert W. Asselbergs, Hans L. Hillege, Dirk J. van Veldhuisen, Andries J. Smit, Gilles F. H. Diercks, Arie M. van Roon, Paul E. de Jong, and Ad J. van Boven
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medicine.medical_specialty ,Intima-media thickness ,business.industry ,Internal medicine ,Fosinopril ,medicine ,Cardiology ,Cardiology and Cardiovascular Medicine ,business ,Pravastatin ,medicine.drug - Full Text
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303. CLINICAL AND PROGNOSTIC VALUE OF GALECTIN-3, A NOVEL FIBROSIS-ASSOCIATED BIOMARKER. RELATION WITH CLINICAL AND BIOCHEMICAL CORRELATES OF HEART FAILURE
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Johannes L. Hillege, Wiek H. van Gilst, Dirk J. van Veldhuisen, Adriaan A. Voors, Dirk J. Lok, Rudolf A. de Boer, and Tiny Jaarsma
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Oncology ,medicine.medical_specialty ,Galectin-3 ,business.industry ,Fibrosis ,Heart failure ,Internal medicine ,medicine ,Biomarker (medicine) ,Cardiology and Cardiovascular Medicine ,medicine.disease ,business ,Value (mathematics) - Full Text
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304. 1041-100 Hydrochlorothiazide further improves survival during angiotensin-converting enzyme inhibitor therapy after experimental myocardial infarction
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Hendrik Buikema, Bart Westendorp, Wiek H. van Gilst, Regien G. Schoemaker, and Dirk J. van Veldhuisen
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Hydrochlorothiazide ,business.industry ,Medicine ,Angiotensin converting enzyme inhibitor therapy ,Myocardial infarction ,Pharmacology ,Cardiology and Cardiovascular Medicine ,business ,medicine.disease ,medicine.drug - Full Text
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305. Heart failure and/or left ventricular systolic dysfunction complicating myocardial infarction is common and accounts for the majority of in-hospital myocardial infarction mortality: Results of the VALIANT registry
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Viatcheslav Mareev, Rafael Diaz, Aldo P. Maggioni, Rakhi Kilaru, Eric J. Velazquez, Jeffrey D. Leimberger, Harvey D. White, Martin G. Myers, Marc Henis, Wiek H. van Gilst, Christopher M. O'Connor, Helmut Drexler, Robert M. Califf, Paul W. Armstrong, Gary S. Francis, W. Douglas Weaver, and Jiri Spac
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medicine.medical_specialty ,business.industry ,Heart failure ,Internal medicine ,medicine ,Cardiology ,Electrocardiography in myocardial infarction ,Myocardial infarction ,medicine.disease ,business ,Cardiology and Cardiovascular Medicine - Full Text
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306. Erythropoietin: From Hematopoiesis to Cardioprotection.
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Peter van der Meer, Erik Lipsic, Wiek H. van Gilst, and Dirk J. van Veldhuisen
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- 2005
307. Telomere biology in cardiovascular disease: the TERC-/- mouse as a model for heart failure and ageing.
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Liza S.M. Wong, Hisko Oeseburg, Rudolf A. de Boer, Wiek H. van Gilst, Dirk J. van Veldhuisen, and Pim van der Harst
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CARDIOVASCULAR disease related mortality ,HEART failure ,CARDIOVASCULAR system aging ,LABORATORY mice ,ATHEROSCLEROSIS ,THERAPEUTICS ,HEART diseases - Abstract
Atherosclerosis and heart failure are major causes of morbidity and mortality in Western countries. Recent studies are suggesting involvement of telomere biology in the development and progression of age-associated conditions, including hypertension, atherosclerosis, and heart failure. Whether any of these reported associations are based on causal relationships remains to be elucidated. The construction of telomerase-deficient (telomerase RNA component, TERC−/−) mice might provide a potential instrumental model to study the involvement of telomere biology in cardiovascular disease. Here, we review the current available information from all studies performed in TERC−/− mice providing information on the cardiovascular phenotypic characteristics. Although this mouse model has proven its value in the understanding of the role of telomere biology in cancer, stem cell, and basic telomere research, only few studies were specifically designed to answer cardiovascular-related questions. The TERC−/− mice provide exciting opportunities to expand our knowledge of telomere biology in cardiovascular disease and the potential identification of novel targets of treatment. [ABSTRACT FROM AUTHOR]
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- 2009
308. Vascular dysfunction in adriamycin nephrosis: different effects of adriamycin exposure and nephrosis.
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Nadir Ulu, Hendrik Buikema, Wiek H. van Gilst, and Gerjan Navis
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NEPHROTIC syndrome ,DOXORUBICIN ,CARDIOVASCULAR system abnormalities ,KIDNEY diseases - Abstract
Background. Nephrosis-induced endothelial dysfunction is assumed to play a main role in cardiovascular morbidity. Adriamycin-induced proteinuria is a well-established rat model for nephrotic syndrome. However, induction of nephrosis by intravenous adriamycin administration might exert direct adriamycin cardiovasculotoxicity that could obscure or modify nephrosis-induced vascular dysfunction. The present study, therefore, investigated in vitro vascular function in the isolated thoracic aorta and isolated perfused hearts of rats with adriamycin nephrosis, as compared to non-nephrotic adriamycin exposed rats. Methods. Adult rats received a single slow intravenous injection of either adriamycin (1.5 mg/kg, adriamycin nephrotic rats) or saline (healthy controls). In a third group of rats, the cardiovascular system, but not the kidneys, were exposed to adriamycin by transient clipping of renal arteries during adriamycin injection (adriamycin control rats). Results. Exposure of the kidneys to adriamycin induced severe proteinuria with corresponding systemic nephrosis, as apparent from hypercholesterolaemia. Adriamycin expo- sure of the vascular bed led to marked blunting of the aortic response to the endothelium-dependent vasodilator, acetylcholine (ACh), both in non-nephrotic and nephrotic rats. The nephrotic state reduced the bradykinin-induced increase in coronary flow and enhanced the aortic constrictor response to angiotensin II associated with reduced basal aortic NO-activity, as shown by the comparison between adriamycin nephrotic rats and healthy and adriamycin controls. Conclusions. Vascular adriamycin exposure and nephrosis affect vascular function in a distinct and qualitatively different fashion in adriamycin-induced nephrotic syndrome. The differential effects of nephrosis and vascular adriamycin exposure have to be accounted for in the interpretation of vascular studies in adriamycin nephrosis. [ABSTRACT FROM AUTHOR]
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- 2008
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309. Prevention of Renal and Vascular Endstage Disease Intervention Trial (PREVEND-IT)
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Dutch Kidney Foundation, Netherlands Heart Foundation, and Prof. Wiek H. van Gilst, Principal Investigator
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- 2017
310. Cardiac LXRα protects against pathological cardiac hypertrophy and dysfunction by enhancing glucose uptake and utilization
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Megan V Cannon, Herman HW Silljé, Jürgen WA Sijbesma, Inge Vreeswijk‐Baudoin, Jolita Ciapaite, Bart van der Sluis, Jan van Deursen, Gustavo JJ Silva, Leon J de Windt, Jan‐Åke Gustafsson, Pim van der Harst, Wiek H van Gilst, and Rudolf A de Boer
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glucose metabolism ,left ventricular hypertrophy ,liver X receptor ,nuclear receptor ,O‐GlcNAcylation ,Medicine (General) ,R5-920 ,Genetics ,QH426-470 - Abstract
Abstract Pathological cardiac hypertrophy is characterized by a shift in metabolic substrate utilization from fatty acids to glucose, but the molecular events underlying the metabolic remodeling remain poorly understood. Here, we investigated the role of liver X receptors (LXRs), which are key regulators of glucose and lipid metabolism, in cardiac hypertrophic pathogenesis. Using a transgenic approach in mice, we show that overexpression of LXRα acts to protect the heart against hypertrophy, fibrosis, and dysfunction. Gene expression profiling studies revealed that genes regulating metabolic pathways were differentially expressed in hearts with elevated LXRα. Functionally, LXRα overexpression in isolated cardiomyocytes and murine hearts markedly enhanced the capacity for myocardial glucose uptake following hypertrophic stress. Conversely, this adaptive response was diminished in LXRα‐deficient mice. Transcriptional changes induced by LXRα overexpression promoted energy‐independent utilization of glucose via the hexosamine biosynthesis pathway, resulting in O‐GlcNAc modification of GATA4 and Mef2c and the induction of cytoprotective natriuretic peptide expression. Our results identify LXRα as a key cardiac transcriptional regulator that helps orchestrate an adaptive metabolic response to chronic cardiac stress, and suggest that modulating LXRα may provide a unique opportunity for intervening in myocyte metabolism.
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- 2015
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311. A Simple and Computationally Efficient Approach to Multifactor Dimensionality Reduction Analysis of Gene-Gene Interactions for Quantitative Traits.
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Jiang Gui, Jason H Moore, Scott M Williams, Peter Andrews, Hans L Hillege, Pim van der Harst, Gerjan Navis, Wiek H Van Gilst, Folkert W Asselbergs, and Diane Gilbert-Diamond
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Medicine ,Science - Abstract
We present an extension of the two-class multifactor dimensionality reduction (MDR) algorithm that enables detection and characterization of epistatic SNP-SNP interactions in the context of a quantitative trait. The proposed Quantitative MDR (QMDR) method handles continuous data by modifying MDR's constructive induction algorithm to use a T-test. QMDR replaces the balanced accuracy metric with a T-test statistic as the score to determine the best interaction model. We used a simulation to identify the empirical distribution of QMDR's testing score. We then applied QMDR to genetic data from the ongoing prospective Prevention of Renal and Vascular End-Stage Disease (PREVEND) study.
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- 2013
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312. AKIP1 expression modulates mitochondrial function in rat neonatal cardiomyocytes.
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Hongjuan Yu, Wardit Tigchelaar, Debby P Y Koonen, Hemal H Patel, Rudolf A de Boer, Wiek H van Gilst, B Daan Westenbrink, and Herman H W Silljé
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Medicine ,Science - Abstract
A kinase interacting protein 1 (AKIP1) is a molecular regulator of protein kinase A and nuclear factor kappa B signalling. Recent evidence suggests AKIP1 is increased in response to cardiac stress, modulates acute ischemic stress response, and is localized to mitochondria in cardiomyocytes. The mitochondrial function of AKIP1 is, however, still elusive. Here, we investigated the mitochondrial function of AKIP1 in a neonatal cardiomyocyte model of phenylephrine (PE)-induced hypertrophy. Using a seahorse flux analyzer we show that PE stimulated the mitochondrial oxygen consumption rate (OCR) in cardiomyocytes. This was partially dependent on PE mediated AKIP1 induction, since silencing of AKIP1 attenuated the increase in OCR. Interestingly, AKIP1 overexpression alone was sufficient to stimulate mitochondrial OCR and in particular ATP-linked OCR. This was also true when pyruvate was used as a substrate, indicating that it was independent of glycolytic flux. The increase in OCR was independent of mitochondrial biogenesis, changes in ETC density or altered mitochondrial membrane potential. In fact, the respiratory flux was elevated per amount of ETC, possibly through enhanced ETC coupling. Furthermore, overexpression of AKIP1 reduced and silencing of AKIP1 increased mitochondrial superoxide production, suggesting that AKIP1 modulates the efficiency of electron flux through the ETC. Together, this suggests that AKIP1 overexpression improves mitochondrial function to enhance respiration without excess superoxide generation, thereby implicating a role for AKIP1 in mitochondrial stress adaptation. Upregulation of AKIP1 during different forms of cardiac stress may therefore be an adaptive mechanism to protect the heart.
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- 2013
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313. A genome-wide association study of circulating galectin-3.
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Rudolf A de Boer, Niek Verweij, Dirk J van Veldhuisen, Harm-Jan Westra, Stephan J L Bakker, Ron T Gansevoort, Anneke C Muller Kobold, Wiek H van Gilst, Lude Franke, Irene Mateo Leach, and Pim van der Harst
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Medicine ,Science - Abstract
Galectin-3 is a lectin involved in fibrosis, inflammation and proliferation. Increased circulating levels of galectin-3 have been associated with various diseases, including cancer, immunological disorders, and cardiovascular disease. To enhance our knowledge on galectin-3 biology we performed the first genome-wide association study (GWAS) using the Illumina HumanCytoSNP-12 array imputed with the HapMap 2 CEU panel on plasma galectin-3 levels in 3,776 subjects and follow-up genotyping in an additional 3,516 subjects. We identified 2 genome wide significant loci associated with plasma galectin-3 levels. One locus harbours the LGALS3 gene (rs2274273; P = 2.35 × 10(-188)) and the other locus the ABO gene (rs644234; P = 3.65 × 10(-47)). The variance explained by the LGALS3 locus was 25.6% and by the ABO locus 3.8% and jointly they explained 29.2%. Rs2274273 lies in high linkage disequilibrium with two non-synonymous SNPs (rs4644; r(2) = 1.0, and rs4652; r(2) = 0.91) and wet lab follow-up genotyping revealed that both are strongly associated with galectin-3 levels (rs4644; P = 4.97 × 10(-465) and rs4652 P = 1.50 × 10(-421)) and were also associated with LGALS3 gene-expression. The origins of our associations should be further validated by means of functional experiments.
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- 2012
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314. Attenuation of renovascular damage in Zucker diabetic fatty rat by NWT-03, an egg protein hydrolysate with ACE- and DPP4-inhibitory Activity.
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Yumei Wang, Sjoerd Landheer, Wiek H van Gilst, Aart van Amerongen, Hans-Peter Hammes, Robert H Henning, Leo E Deelman, and Hendrik Buikema
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Medicine ,Science - Abstract
BACKGROUND: Dipeptidyl peptidase 4 (DPP4) and angiotensin-converting enzyme (ACE) are important target enzymes in glycemic control and renovascular protection. Here, we studied the effect of NWT-03, an egg protein hydrolysate with DPP4- and ACE-inhibitory activity, on renovascular damage in Zucker diabetic fatty (ZDF) rats. Comparisons were made to rats treated with vildagliptin (VIL), included as a positive control for the effect of DPP4 inhibition. METHODS: ZDF rats received NWT-03 (1 g/kg/day) or VIL (3 mg/kg/day) from 10 to 25 weeks of age. Metabolic and renal functions were assessed; the kidney was removed for histological analysis of glomerulosclerosis and expression of pro-inflammatory/fibrotic markers (RT-PCR and Western blotting); and the aorta was removed for studies of endothelium-dependent relaxation (EDR). FINDINGS: Hyperinsulinemic ZDF rats typically developed signs of type-2 diabetes and renovascular damage, as evidenced by albuminuria, glomerulosclerosis, and impaired EDR. Neither NWT-03 nor VIL improved metabolic parameters; for VIL, this was despite a 5-fold increase in glucagon-like peptide (GLP)-1 levels. NWT-03 and VIL both reduced renal interleukin (Il)-1β/Il-13 mRNA expression and glomerulosclerosis. However, only NWT-03 additionally decreased renal tumor necrosis factor (TNF)-α mRNA and P22(phox) protein expression, reduced albuminuria, and restored aortic EDR. Indomethacin added to the organ bath instantly improved aortic EDR, indicating a role for cyclooxygenase (COX)-derived contractile prostanoids in opposing relaxation in ZDF rats. This indomethacin effect was reduced by NWT-03, but not by VIL, and coincided with decreased renal COX-1/2 protein expression. CONCLUSION AND INTERPRETATION: Long-term supplementation with the egg protein hydrolysate NWT-03 attenuated renovascular damage in this preclinical rat model of type 2 diabetes. A comparison to the DPP4-inhibitor VIL suggests that the effects of NWT-03 were related to both ACE- and DPP4-inhibitory properties. The development of protein hydrolysates with a multiple-targeting strategy may be of benefit to functional food formulations.
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- 2012
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315. Telomere length of circulating leukocyte subpopulations and buccal cells in patients with ischemic heart failure and their offspring.
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Liza S M Wong, Jardi Huzen, Rudolf A de Boer, Wiek H van Gilst, Dirk J van Veldhuisen, and Pim van der Harst
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Medicine ,Science - Abstract
BACKGROUND: We aimed to find support for the hypothesis that telomere length (TL) is causally involved in the pathogenesis of ischemic heart failure (IHF). We measured TL in IHF patients and their high-risk offspring and determined whether mean leukocyte TL reflects TL in CD34+ progenitor. We additionally measured TL of offspring of patients and controls to examine heritability throughout different cell types. METHODS AND RESULTS: TL was measured by qPCR in overall leukocytes, CD34+ progenitor cells, mononuclear cells (MNCs), and buccal cells in 27 IHF patients, 24 healthy controls and 60 offspring. TL in IHF patients was shorter than healthy controls in leukocytes (p = 0.002), but not in CD34+ cells (p = 0.39), MNCs (p = 0.31) or buccal cells (p = 0.19). Offspring of IHF patients had shorter TL in leukocytes than offspring of healthy subjects (p = 0.04) but not in other cell types. Controls and offspring showed a good within person correlation between leukocytes and CD34+ cells (r 0.562; p = 0.004 and r 0.602; p = 0.001, respectively). In IHF patients and offspring the correlation among cell types was blunted. Finally, we found strong correlations between parent and offspring TL in all four cell types. CONCLUSIONS: Reduced leukocyte TL in offspring of IHF subjects suggests a potential causal link of TL in ischemic heart disease. However, this causality is unlikely to originate from exhaustion of TL in CD34+ progenitor or MNC cells as their lengths are not well captured by overall leukocyte TL. Additionally, we found strong correlations between parent and offspring TL in all examined cell types, suggesting high heritability of TL among cell types.
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- 2011
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316. Cardiovascular risk associated with interactions among polymorphisms in genes from the renin-angiotensin, bradykinin, and fibrinolytic systems.
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John P Bentley, Folkert W Asselbergs, Christopher S Coffey, Patricia R Hebert, Jason H Moore, Hans L Hillege, and Wiek H van Gilst
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Medicine ,Science - Abstract
Vascular fibrinolytic balance is maintained primarily by interplay of tissue plasminogen activator (t-PA) and plasminogen activator inhibitor type 1 (PAI-1). Previous research has shown that polymorphisms in genes from the renin-angiotensin (RA), bradykinin, and fibrinolytic systems affect plasma concentrations of both t-PA and PAI-1 through a set of gene-gene interactions. In the present study, we extend this finding by exploring the effects of polymorphisms in genes from these systems on incident cardiovascular disease, explicitly examining two-way interactions in a large population-based study.Data from the population-based PREVEND study in Groningen, The Netherlands (n = 8,138) were analyzed. The effects of the polymorphisms and their interactions on cardiovascular events were analyzed via Cox proportional hazards models. There was no association between five of the six polymorphisms singly and risk of cardiovascular disease. There was a significant main effect for the ACE I/D polymorphism for both dominant and additive coding schemes. There were significant interactions between the following polymorphism pairs even after adjustment for known risk factors: ACE I/D & PAI-1 4G/5G (p = 0.012), BDKRB2 C181T & ACE I/D (p = 0.016), BDKRB2 C58T & ACE I/D (p = 0.025), BDKRB2 exon 1 I/D & AT1R A1166C (p = 0.017), and BDKRB2 C58T & AT1R A1166C (p = 0.015).This study suggests possible interactions between genes from the RA, bradykinin, and fibrinolytic systems on the risk of cardiovascular disease, extending previous research that has demonstrated that interactions among genes from these systems influence plasma concentrations of both t-PA and PAI-1. Further explorations of these interactions are needed.
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- 2010
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317. Statins in the treatment of chronic heart failure: a systematic review.
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Pim van der Harst, Adriaan A Voors, Wiek H van Gilst, Michael Böhm, and Dirk J van Veldhuisen
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Medicine - Abstract
BACKGROUND: The efficacy of statin therapy in patients with established chronic heart failure (CHF) is a subject of much debate. METHODS AND FINDINGS: We conducted three systematic literature searches to assess the evidence supporting the prescription of statins in CHF. First, we investigated the participation of CHF patients in randomized placebo-controlled clinical trials designed to evaluate the efficacy of statins in reducing major cardiovascular events and mortality. Second, we assessed the association between serum cholesterol and outcome in CHF. Finally, we evaluated the ability of statin treatment to modify surrogate endpoint parameters in CHF. Using validated search strategies, we systematically searched PubMed for our three queries. In addition, we searched the reference lists from eligible studies, used the "see related articles" feature for key publications in PubMed, consulted the Cochrane Library, and searched the ISI Web of Knowledge for papers citing key publications. Search 1 resulted in the retrieval of 47 placebo-controlled clinical statin trials involving more than 100,000 patients. CHF patients had, however, been systematically excluded from these trials. Search 2 resulted in the retrieval of eight studies assessing the relationship between cholesterol levels and outcome in CHF patients. Lower serum cholesterol was consistently associated with increased mortality. Search 3 resulted in the retrieval of 18 studies on the efficacy of statin treatment in CHF. On the whole, these studies reported favorable outcomes for almost all surrogate endpoints. CONCLUSIONS: Since CHF patients have been systematically excluded from randomized, controlled clinical cholesterol-lowering trials, the effect of statin therapy in these patients remains to be established. Currently, two large, randomized, placebo-controlled statin trials are under way to evaluate the efficacy of statin treatment in terms of reducing clinical endpoints in CHF patients in particular.
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- 2006
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318. Maps of open chromatin highlight cell type-restricted patterns of regulatory sequence variation at hematological trait loci
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Paul, Ds, Albers, Ca, Rendon, A, Voss, K, Stephens, J, Akkerman, Jan Willem N., Albers, Cornelis A., Ale, Algra, Abtehale Al Hussani, Hooman, Allayee, Franco, Anni, Asselbergs, Folkert W., Antony, Attwood, Beverley, Balkau, Stefania, Bandinelli, François, Bastardot, Saonli, Basu, Baumeister, Sebastian E., Jacques, Beckmann, Beben, Benyamin, Ginevra, Biino, Bis, Joshua C., Lorenzo, Bomba, Amélie, Bonnefond, Boomsma, Dorret I., Bradley, John R., François, Cambien, Chambers, John C., Marina, Ciullo, Cookson, William O., Francesco, Cucca, Ana, Cvejic, D'Adamo, ADAMO PIO, John, Danesh, Fabrice, Danjou, Debashish, Das, Gail, Davies, Paul IW de Bakker, de Boer, Rudolf A., Eco JC de Geus, Deary, Ian J., Dedoussis, George V., Panos, Deloukas, Maria, Dimitriou, Christian, Dina, Angela, Döring, Ulrich, Elling, David, Ellinghaus, Paul, Elliott, Gunnar, Engström, Jeanette, Erdmann, Tõnu, Esko, Evans, David M., Eyjolfsson, Gudmundur I., Mario, Falchi, Wei, Feng, Ferreira, Manuel A., Luigi, Ferrucci, Krista, Fischer, Folsom, Aaron R., Paolo, Fortina, Andre, Franke, Lude, Franke, Frazer, Ian H., Philippe, Froguel, Renzo, Galanello, Ganesh, Santhi K., Garner, Stephen F., Gasparini, Paolo, Bernd, Genser, Gibson, Quince D., Christian, Gieger, Girotto, Giorgia, Glazer, Nicole L., Martin, Gögele, Goodall, Alison H., Andreas, Greinacher, Gudbjartsson, Daniel F., Chris, Hammond, Harris, Sarah E., Jaana, Hartiala, Anna Liisa Hartikainen, Hazen, Stanley L., Heckbert, Susan R., Hedblad, Bo, Christian, Hengstenberg, Micha, Hersch, Hicks, Andrew A., Hilma, Holm, Jouke Jan Hottenga, Thomas, Illig, Marjo Riitta Jarvelin, Jennifer, Jolley, Steve, Jupe, Mika, Kähönen, Naoyuki, Kamatani, Stavroula, Kanoni, Kema, Ido P., Kemp, John P., Jyoti, Khadake, Kay Tee Khaw, Kleber, Marcus E., Kooner, Jaspal S., Peter, Kovacs, Brigitte, Kühnel, Marie Christine Kyrtsonis, Yann, Labrune, Vasiliki, Lagou, Claudia, Langenberg, Terho, Lehtimäki, Xinzhong, Li, Liming, Liang, Lifelines Cohort Study, Heather Lloyd Jones, Ruth JF Loos, Lopez, Lorna M., Thomas, Lumley, Leo Pekka Lyytikäinen, Winfried, Maerz, Reedik, Mägi, Massimo, Mangino, Martin, Nicholas G., Andrea, Maschio, Irene Mateo Leach, Barbara, Mcknight, Stuart, Meacham, Medland, Sarah E., Christa, Meisinger, Olle, Melander, Yasin, Memari, Andres, Metspalu, Kathy, Miller, Mitchell, Braxton D., Moffatt, Miriam F., Montgomery, Grant W., Carmel, Moore, Federico, Murgia, Yusuke, Nakamura, Matthias, Nauck, Gerjan, Navis, Nolte, Ilja M., Ute, Nöthlings, Teresa, Nutile, Yukinori, Okada, Isleifur, Olafsson, Onundarson, Pall T., O’Reilly, Paul F., Ouwehand, Willem H., Debora, Parracciani, Afshin, Parsa, Paul, Dirk S., Penninger, Josef M., Penninx, Brenda W., Mario, Pirastu, Pirastu, Nicola, Giorgio, Pistis, Eleonora, Porcu, Laura, Portas, David, Porteous, Anneli, Pouta, Pramstaller, Peter P., Inga, Prokopenko, Psaty, Bruce M., Janne, Pullat, Aparna, Radhakrishnan, Olli, Raitakari, Ramiro Ramirez Solis, Augusto, Rendon, Ried, Janina S., Ring, Susan M., Robino, Antonietta, Rotter, Jerome I., Daniela, Ruggiero, Aimo, Ruokonen, Cinzia, Sala, Andres, Saluments, Samani, Nilesh J., Jennifer, Sambrook, Serena, Sanna, David, Schlessinger, Schmidt, Carsten O., Stefan, Schreiber, Heribert, Schunkert, James, Scott, Joban, Sehmi, Jovana Serbanovic Canic, So Youn Shin, Shuldiner, Alan R., Rob, Sladek, Smit, Johannes H., George Davey Smith, Gustav Smith, J., Smith, Nicholas L., Harold, Snieder, Nicole, Soranzo, Rossella, Sorice, Spector, Timothy D., Starr, John M., Kari, Stefansson, Derek, Stemple, Jonathan, Stephens, Michael, Stumvoll, Patrick, Sulem, Atsushi, Takahashi, Sian Tsung Tan, Toshiko, Tanaka, Clara, Tang, Weihong, Tang, WH Wilson Tang, Kent, Taylor, Albert, Tenesa, Alexander, Teumer, Swee Lay Thein, Unnur, Thorsteinsdottir, Daniela, Toniolo, Anke, Tönjes, Traglia, Michela, Manuela, Uda, Sheila, Ulivi, Pim van der Harst, Ellen van der Schoot, C., van Gilst, Wiek H., Joost van Pelt, L., van Veldhuisen, Dirk J., Niek, Verweij, Visscher, Peter M., Uwe, Völker, Peter, Vollenweider, Katrin, Voss, Wareham, Nicholas J., Lorenz, Wernisch, Harm Jan Westra, Whitfield, John B., Herich, Wichmann, Wiggins, Kerri L., Gonneke, Willemsen, Winkelmann, Bernhard R., Gerald, Wirnsberger, Bruce HR Wolffenbuttel, Jian, Yang, Tsun Po Yang, Weihua, Zhang, Jing Hua Zhao, Paavo, Zitting, Jaap Jan Zwaginga, van der Harst, P, Chambers, Jc, Soranzo, N, Ouwehand, Wh, Deloukas, P., Paul, D, Albers, Ca, Rendon, A, Voss, K, Stephens, J, Jan Willem N., Akkerman, Cornelis A., Alber, Ale, Algra, Abtehale Al, Hussani, Hooman, Allayee, Franco, Anni, Folkert W., Asselberg, Antony, Attwood, Beverley, Balkau, Stefania, Bandinelli, François, Bastardot, Saonli, Basu, Sebastian E., Baumeister, Jacques, Beckmann, Beben, Benyamin, Ginevra, Biino, Joshua C., Bi, Lorenzo, Bomba, Amélie, Bonnefond, Dorret I., Boomsma, John R., Bradley, François, Cambien, John C., Chamber, Marina, Ciullo, William O., Cookson, Francesco, Cucca, Ana, Cvejic, D'Adamo, ADAMO PIO, John, Danesh, Fabrice, Danjou, Debashish, Da, Gail, Davie, Paul IW de, Bakker, Rudolf A., de Boer, Eco JC de, Geu, Ian J., Deary, George V., Dedoussi, Panos, Delouka, Maria, Dimitriou, Christian, Dina, Angela, Döring, Ulrich, Elling, David, Ellinghau, Paul, Elliott, Gunnar, Engström, Jeanette, Erdmann, Tõnu, Esko, David M., Evan, Gudmundur I., Eyjolfsson, Mario, Falchi, Wei, Feng, Manuel A., Ferreira, Luigi, Ferrucci, Krista, Fischer, Aaron R., Folsom, Paolo, Fortina, Andre, Franke, Lude, Franke, Ian H., Frazer, Philippe, Froguel, Renzo, Galanello, Santhi K., Ganesh, Stephen F., Garner, Gasparini, Paolo, Bernd, Genser, Quince D., Gibson, Christian, Gieger, Girotto, Giorgia, Nicole L., Glazer, Martin, Gögele, Alison H., Goodall, Andreas, Greinacher, Daniel F., Gudbjartsson, Chris, Hammond, Sarah E., Harri, Jaana, Hartiala, Anna Liisa, Hartikainen, Stanley L., Hazen, Susan R., Heckbert, Bo, Hedblad, Christian, Hengstenberg, Micha, Hersch, Andrew A., Hick, Hilma, Holm, Jouke Jan, Hottenga, Thomas, Illig, Marjo Riitta, Jarvelin, Jennifer, Jolley, Steve, Jupe, Mika, Kähönen, Naoyuki, Kamatani, Stavroula, Kanoni, Ido P., Kema, John P., Kemp, Jyoti, Khadake, Kay Tee, Khaw, Marcus E., Kleber, Jaspal S., Kooner, Peter, Kovac, Brigitte, Kühnel, Marie Christine, Kyrtsoni, Yann, Labrune, Vasiliki, Lagou, Claudia, Langenberg, Terho, Lehtimäki, Xinzhong, Li, Liming, Liang, Lifelines Cohort, Study, Heather Lloyd, Jone, Ruth JF, Loo, Lorna M., Lopez, Thomas, Lumley, Leo Pekka, Lyytikäinen, Winfried, Maerz, Reedik, Mägi, Massimo, Mangino, Nicholas G., Martin, Andrea, Maschio, Irene Mateo, Leach, Barbara, Mcknight, Stuart, Meacham, Sarah E., Medland, Christa, Meisinger, Olle, Melander, Yasin, Memari, Andres, Metspalu, Kathy, Miller, Braxton D., Mitchell, Miriam F., Moffatt, Grant W., Montgomery, Carmel, Moore, Federico, Murgia, Yusuke, Nakamura, Matthias, Nauck, Gerjan, Navi, Ilja M., Nolte, Ute, Nöthling, Teresa, Nutile, Yukinori, Okada, Isleifur, Olafsson, Pall T., Onundarson, Paul F., O’Reilly, Willem H., Ouwehand, Debora, Parracciani, Afshin, Parsa, Dirk S., Paul, Josef M., Penninger, Brenda W., Penninx, Mario, Pirastu, Pirastu, Nicola, Giorgio, Pisti, Eleonora, Porcu, Laura, Porta, David, Porteou, Anneli, Pouta, Peter P., Pramstaller, Inga, Prokopenko, Bruce M., Psaty, Janne, Pullat, Aparna, Radhakrishnan, Olli, Raitakari, Ramiro Ramirez, Soli, Augusto, Rendon, Janina S., Ried, Susan M., Ring, Robino, Antonietta, Jerome I., Rotter, Daniela, Ruggiero, Aimo, Ruokonen, Cinzia, Sala, Andres, Salument, Nilesh J., Samani, Jennifer, Sambrook, Serena, Sanna, David, Schlessinger, Carsten O., Schmidt, Stefan, Schreiber, Heribert, Schunkert, James, Scott, Joban, Sehmi, Jovana Serbanovic, Canic, So Youn, Shin, Alan R., Shuldiner, Rob, Sladek, Johannes H., Smit, George Davey, Smith, J., Gustav Smith, Nicholas L., Smith, Harold, Snieder, Nicole, Soranzo, Rossella, Sorice, Timothy D., Spector, John M., Starr, Kari, Stefansson, Derek, Stemple, Jonathan, Stephen, Michael, Stumvoll, Patrick, Sulem, Atsushi, Takahashi, Sian Tsung, Tan, Toshiko, Tanaka, Clara, Tang, Weihong, Tang, WH Wilson, Tang, Kent, Taylor, Albert, Tenesa, Alexander, Teumer, Swee Lay, Thein, Unnur, Thorsteinsdottir, Daniela, Toniolo, Anke, Tönje, Traglia, Michela, Manuela, Uda, Sheila, Ulivi, Pim van der, Harst, C., Ellen van der Schoot, Wiek H., van Gilst, L., Joost van Pelt, Dirk J., van Veldhuisen, Niek, Verweij, Peter M., Visscher, Uwe, Völker, Peter, Vollenweider, Katrin, Vo, Nicholas J., Wareham, Lorenz, Wernisch, Harm Jan, Westra, John B., Whitfield, Herich, Wichmann, Kerri L., Wiggin, Gonneke, Willemsen, Bernhard R., Winkelmann, Gerald, Wirnsberger, Bruce HR, Wolffenbuttel, Jian, Yang, Tsun Po, Yang, Weihua, Zhang, Jing Hua, Zhao, Paavo, Zitting, Jaap Jan, Zwaginga, van der Harst, P, Chambers, Jc, Soranzo, N, Ouwehand, Wh, Deloukas, P., Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Neuroscience Campus Amsterdam - Brain Imaging Technology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Wellcome Trust Sanger Inst, Cambridge CB10 1SA, England, UCL, UCL Canc Inst, London WC1E 6BT, England, Univ Cambridge, Dept Haematol, Cambridge CB2 0PT, England, Natl Hlth Serv NHS Blood & Transplant, Cambridge CB2 0PT, England, Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, NL-6500 HB Nijmegen, Netherlands, Inst Publ Hlth, MRC Biostat Unit, Cambridge CB2 0SR, England, NIHR Biomed Res Ctr, Cambridge CB2 0PT, England, Univ Groningen, Univ Med Ctr Groningen, Dept Cardiol, NL-9713 GZ Groningen, Netherlands, Univ Groningen, Univ Med Ctr Groningen, Dept Genet, NL-9713 GZ Groningen, Netherlands, Univ London Imperial Coll Sci Technol & Med, Dept Epidemiol & Biostat, London W2 1NY, England, Hammersmith Hosp, Imperial Coll Healthcare NHS Trust, London W12 0HS, England, Royal Brompton & Harefield Hosp NHS Trust, London SW3 6NP, England, Ealing Hosp NHS Trust, Southall UB1 3HW, Middx, England, Psychiatry, Epidemiology and Data Science, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, and Cardiovascular Centre (CVC)
- Subjects
Netherlands Twin Register (NTR) ,Erythrocytes ,Genome-wide association study ,UNCERTAINTY ,Regulatory Sequences, Nucleic Acid ,VARIANTS ,ANNOTATION ,COLORECTAL-CANCER ,Histones ,0302 clinical medicine ,BINDING ,Cluster Analysis ,Myeloid Cells ,Genetics (clinical) ,Genetics ,hematological trait ,0303 health sciences ,Chromosome Mapping ,MRP4 ABCC4 ,Chromatin ,Nucleosomes ,Phenotype ,Organ Specificity ,030220 oncology & carcinogenesis ,Blood Platelets ,Quantitative Trait Loci ,Biology ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,DYNAMIN 3 ,03 medical and health sciences ,Quantitative Trait, Heritable ,MEGAKARYOCYTES ,Humans ,Cell Lineage ,ddc:610 ,GENOME-WIDE ASSOCIATION ,Enhancer ,Transcription factor ,Gene ,ChIA-PET ,030304 developmental biology ,Research ,Genetic Variation ,DNA ,Chromatin Assembly and Disassembly ,Genetic architecture ,Gene Expression Regulation ,Genome-Wide Association Study - Abstract
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files. This article is open access. Nearly three-quarters of the 143 genetic signals associated with platelet and erythrocyte phenotypes identified by meta-analyses of genome-wide association (GWA) studies are located at non-protein-coding regions. Here, we assessed the role of candidate regulatory variants associated with cell type-restricted, closely related hematological quantitative traits in biologically relevant hematopoietic cell types. We used formaldehyde-assisted isolation of regulatory elements followed by next-generation sequencing (FAIRE-seq) to map regions of open chromatin in three primary human blood cells of the myeloid lineage. In the precursors of platelets and erythrocytes, as well as in monocytes, we found that open chromatin signatures reflect the corresponding hematopoietic lineages of the studied cell types and associate with the cell type-specific gene expression patterns. Dependent on their signal strength, open chromatin regions showed correlation with promoter and enhancer histone marks, distance to the transcription start site, and ontology classes of nearby genes. Cell type-restricted regions of open chromatin were enriched in sequence variants associated with hematological indices. The majority (63.6%) of such candidate functional variants at platelet quantitative trait loci (QTLs) coincided with binding sites of five transcription factors key in regulating megakaryopoiesis. We experimentally tested 13 candidate regulatory variants at 10 platelet QTLs and found that 10 (76.9%) affected protein binding, suggesting that this is a frequent mechanism by which regulatory variants influence quantitative trait levels. Our findings demonstrate that combining large-scale GWA data with open chromatin profiles of relevant cell types can be a powerful means of dissecting the genetic architecture of closely related quantitative traits. Marie-Curie Initial Training Network NETSIM British Heart Foundation RG/09/12/28096 National Institutes for Health RP-PG-0310-1002 Wellcome Trust 098051 info:eu-repo/grantAgreement/EC/FP7/282510
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- 2013
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