955 resultados para Low-density lipoprotein receptors


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Ohio Department of Transportation, Columbus

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"May 1976."

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"The experimental study reported here has been performed under the sponsorship of the Fluid Dynamics Branch, Aeronautical Research laboratories of the U.S. Air Force Air Research and Development Command, Contract no. AF 33(616)-6025."

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Urotensin-II (UII) is a highly potent endogenous peptide within the cardiovascular system. Through stimulation of Galphaq-coupled UT receptors, UII mediates contraction of vascular smooth muscle and endothelial-dependent vasorelaxation, and positive inotropy in human right atrium and ventricle. A pathogenic role of the UT receptor system is emerging in cardiovascular disease states, with evidence for upregulation of the UT receptor system in patients with congestive heart failure (CHF), pulmonary hypertension, cirrhosis and portal hypertension, and chronic renal failure. In vitro and in vivo studies show that under pathophysiological conditions, UII might contribute to cardiomyocyte hypertrophy, extracellular matrix production, enhanced vasoconstriction, vascular smooth muscle cell hyperplasia, and endothelial cell hyper-permeability. Single nucleotide polymorphisms of the UII gene may also impart a genetic predisposition of patients to diabetes. Therefore, the UT receptor system is a potential therapeutic target in the treatment of cardiac, pulmonary, and renal diseases. UT receptor antagonists are currently being developed to prevent and/or reverse the effects of over-activated UT receptors by the endogenous ligand. This review describes UII peptide and converting enzymes, and UT receptors in the cardiovascular system, focusing on pathophysiological roles of UII in the heart and blood vessels. (C) 2004 Elsevier Inc. All rights reserved,

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Urban encroachment on dense, coastal koala populations has ensured that their management has received increasing government and public attention. The recently developed National Koala Conservation Strategy calls for maintenance of viable populations in the wild. Yet the success of this, and other, conservation initiatives is hampered by lack of reliable and generally accepted national and regional population estimates. In this paper we address this problem in a potentially large, but poorly studied, regional population in the State that is likely to have the largest wild populations. We draw on findings from previous reports in this series and apply the faecal standing-crop method (FSCM) to derive a regional estimate of more than 59 000 individuals. Validation trials in riverine communities showed that estimates of animal density obtained from the FSCM and direct observation were in close agreement. Bootstrapping and Monte Carlo simulations were used to obtain variance estimates for our population estimates in different vegetation associations across the region. The most favoured habitat was riverine vegetation, which covered only 0.9% of the region but supported 45% of the koalas. We also estimated that between 1969 and 1995 similar to 30% of the native vegetation associations that are considered as potential koala habitat were cleared, leading to a decline of perhaps 10% in koala numbers. Management of this large regional population has significant implications for the national conservation of the species: the continued viability of this population is critically dependent on the retention and management of riverine and residual vegetation communities, and future vegetation-management guidelines should be cognisant of the potential impacts of clearing even small areas of critical habitat. We also highlight eight management implications.

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Background. Peroxisome proliferator-activated receptor gamma (PPARgamma) agonists. which are known to be critical factors in lipid metabolism, have also been reported to reduce proteinuria. The mechanism and its relevance to progressive nephropathy have not been determined. The aims of this study were to assess the direct effects of a PPARgamma agonist on tubular cell albumin uptake, proinflammatory and profibrotic markers of renal pathology, using an opossum kidney model of proximal tubular cells. Methods. Cells were exposed to pioglitazone (10 mumol/L) in the presence and absence of low-density lipoprotein (LDL) 100 mug/mL +/- exposure to albumin 1 mg/mL. Results were expressed relative to control (5 mmol/L glucose) conditions. Results. Pioglitazone caused a dose-dependent increase in tubular cell albumin uptake (P < 0.0001). Despite the increase in albumin reabsorption, no concurrent increase in inflammatory or profibrotic markers were observed. Exposure to LDL increased monocyte chemoattractant protein-1 (MCP-1) (P < 0.05) and transforming growth factor-beta1 (TGF-beta1) (P < 0.05) production. which were reversed in the presence of pioglitazone. LDL induced increases in MCP-1 and TGF-β1 were independent of nuclear factor-κB (NF-κB) transcriptional activity. In contrast. tubular exposure to albumin increased tubular protein uptake, in parallel with an increase in MCP-1 (P = 0.05): TGF-β1 (P < 0.02) and NF-kappaB transcriptional activity (P < 0.05). which were unaffected by concurrent exposure to pioglitazone. Conclusion. These findings suggest that dyslipidemia potentiates renal pathology through mechanisms that may be modified PPARγ activation independent of NF-κB transcriptional activitv. In contrast, tubular exposure to protein induces renal damage through NF-κB-dependent mechanisms that are Unaffected by PPARγ activation.

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The Rho family GTPases are regulatory molecules that link surface receptors to organisation of the actin cytoskeleton and play major roles in fundamental cellular processes. In the vasculature Rho signalling pathways are intimately involved in the regulation of endothelial barrier function, inflammation and transendothelial leukocyte migration, platelet activation, thrombosis and oxidative stress, as well as smooth muscle contraction, migration, proliferation and differentiation, and are thus implicated in many of the changes associated with atherogenesis. Indeed, it is believed that many of the beneficial, non-lipid lowering effects of statins occur as a result of their ability to inhibit Rho protein activation. Conversely, the Rho proteins can have beneficial effects on the vasculature, including the promotion of endothelial repair and the maintenance of SMC differentiation. Further identification of the mechanisms by which these proteins and their effectors act in the vasculature should lead to therapies that specifically target only the adverse effects of Rho signalling. (c) 2005 Elsevier Ireland Ltd. All rights reserved.

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Although low-density lipoprotein (LDL)-cholesterol lowering with the statins reduces the mortality and morbidity associated with coronary artery disease, considerable mortality and morbidity remains. Berberine upregulates the LDL receptor (LDLR) by a mechanism distinct from that of the statins, which involves stabilising the LDLR mRNA. In hamsters fed a high-fat and high-cholesterol diet for 2 weeks, the oral administration of berberine 100 mg/kg for 10 days reduced total serum cholesterol from &SIM; 4.8 to 2.7 mmol/l, and LDL-cholesterol from &SIM; 2.5 to 1.4 mmol/l. In subjects with hypercholesterolaemia, berberine hydrochloride (0.5 g b.i.d. for 3 months) reduced LDL-cholesterol (from 3.2 to 2.4 mmol/l) without any effect on high-density lipoprotein-cholesterol. Berberine also caused a reduction in triglyceride levels from 2.3 to 1.5 mmol/l. As berberine and statins both upregulate LDLR, their lipid-lowering profiles are similar. Thus, this mechanism is unlikely to make berberine an attractive alternative to statins for lipid lowering in most circumstances. However, the other effects of berberine (anti hypertensive, inotropic and class III antiarrhythmic properties) may make it a useful agent in the treatment of cardiovascular disease.

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A longitudinal capture-mark-recapture study was conducted to determine the temporal dynamics of rabbit haemorrhagic disease (RHD) in a European rabbit (Oryctolagus cuniculus) population of low to moderate density on sand-hill country in the lower North Island of New Zealand. A combination of sampling ( trapping and radio-tracking) and diagnostic (cELISA, PCR and isotype ELISA) methods was employed to obtain data weekly from May 1998 until June 2001. Although rabbit haemorrhagic disease virus ( RHDV) infection was detected in the study population in all 3 years, disease epidemics were evident only in the late summer or autumn months in 1999 and 2001. Overall, 20% of 385 samples obtained from adult animals older than 11 weeks were seropositive. An RHD outbreak in 1999 contributed to an estimated population decline of 26%. A second RHD epidemic in February 2001 was associated with a population decline of 52% over the subsequent month. Following the outbreaks, the seroprevalence in adult survivors was between 40% and 50%. During 2000, no deaths from RHDV were confirmed and mortalities were predominantly attributed to predation. Influx of seronegative immigrants was greatest in the 1999 and 2001 breeding seasons, and preceded the RHD epidemics in those years. Our data suggest that RHD epidemics require the population immunity level to fall below a threshold where propagation of infection can be maintained through the population.

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Low-density parity-check codes with irregular constructions have recently been shown to outperform the most advanced error-correcting codes to date. In this paper we apply methods of statistical physics to study the typical properties of simple irregular codes. We use the replica method to find a phase transition which coincides with Shannon's coding bound when appropriate parameters are chosen. The decoding by belief propagation is also studied using statistical physics arguments; the theoretical solutions obtained are in good agreement with simulation results. We compare the performance of irregular codes with that of regular codes and discuss the factors that contribute to the improvement in performance.

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A variation of low-density parity check (LDPC) error-correcting codes defined over Galois fields (GF(q)) is investigated using statistical physics. A code of this type is characterised by a sparse random parity check matrix composed of C non-zero elements per column. We examine the dependence of the code performance on the value of q, for finite and infinite C values, both in terms of the thermodynamical transition point and the practical decoding phase characterised by the existence of a unique (ferromagnetic) solution. We find different q-dependence in the cases of C = 2 and C ≥ 3; the analytical solutions are in agreement with simulation results, providing a quantitative measure to the improvement in performance obtained using non-binary alphabets.

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We study the performance of Low Density Parity Check (LDPC) error-correcting codes using the methods of statistical physics. LDPC codes are based on the generation of codewords using Boolean sums of the original message bits by employing two randomly-constructed sparse matrices. These codes can be mapped onto Ising spin models and studied using common methods of statistical physics. We examine various regular constructions and obtain insight into their theoretical and practical limitations. We also briefly report on results obtained for irregular code constructions, for codes with non-binary alphabet, and on how a finite system size effects the error probability.