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Aortic valve calcium score in hypercholesterolemic patients with and without low-density lipoprotein receptor gene mutation.

ABSTRACT: The aim of this study was a comparison of aortic valve calcium score (AVCS) between patients with hypercholesterolemia and genetic diagnosis of familial hypercholesterolemia with low-density lipoprotein receptor gene mutation (LDLR-M group), versus patients with hypercholesterolemia without LDLR gene mutation (LDLR-WT group). A total of 72 LDLR-M patients and 50 LDLR-WT patients were enrolled in the study and underwent CT as a part of an assessment of coronary calcium scoring. AVCS was determined and compared between the two patient groups. AVCS was significantly higher in the LDLR-M group in comparison to the LDLR-WT group (13.8 ± 37.9 vs. 0.94 ± 3.1, p = 0.03). The Yates' chi-squared test for independence revealed that LDLR mutation and AVCS were significantly dependable (Chi^2 = 6.106, p = 0.013). The LDLR mutation was a strong predictor of a high AVCS (OR 7.83, 95% CI 2.08-29.50, p = 0.002) on multivariate regression analysis. Among the traditional risk factors, age (odds ratio 1.12, 95% CI 1.05-1.18, p<0.001) and SBP (OR 1.04, 95% CI 1.00-1.07, p = 0.045) were also significant for high result of AVCS. An assessment of computed tomography calcium scores showed that LDLR-M patients have increased AVCS in comparison to those with LDLR-WT. In addition, LDLR mutation can be considered as an independent risk factor of having high AVSC even after adjustment for risk factors including cholesterol levels. This may result from the associated process connected with the regulatory role of LDLR in evolution of aortic valve calcifications.

SUBMITTER: Galaska R

PROVIDER: S-EPMC6310281 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Aortic valve calcium score in hypercholesterolemic patients with and without low-density lipoprotein receptor gene mutation.

Gałąska Rafal R Kulawiak-Gałąska Dorota D Chmara Magdalena M Chlebus Krzysztof K Studniarek Michał M Fijałkowski Marcin M Wasąg Bartosz B Rynkiewicz Andrzej A Gruchała Marcin M

PloS one 20181228 12

The aim of this study was a comparison of aortic valve calcium score (AVCS) between patients with hypercholesterolemia and genetic diagnosis of familial hypercholesterolemia with low-density lipoprotein receptor gene mutation (LDLR-M group), versus patients with hypercholesterolemia without LDLR gene mutation (LDLR-WT group). A total of 72 LDLR-M patients and 50 LDLR-WT patients were enrolled in the study and underwent CT as a part of an assessment of coronary calcium scoring. AVCS was determine ...[more]

PMID: 30592719

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Project description:IMPORTANCE:Plasma low-density lipoprotein cholesterol (LDL-C) has been associated with aortic stenosis in observational studies; however, randomized trials with cholesterol-lowering therapies in individuals with established valve disease have failed to demonstrate reduced disease progression. OBJECTIVE:To evaluate whether genetic data are consistent with an association between LDL-C, high-density lipoprotein cholesterol (HDL-C), or triglycerides (TG) and aortic valve disease. DESIGN, SETTING, AND PARTICIPANTS:Using a Mendelian randomization study design, we evaluated whether weighted genetic risk scores (GRSs), a measure of the genetic predisposition to elevations in plasma lipids, constructed using single-nucleotide polymorphisms identified in genome-wide association studies for plasma lipids, were associated with aortic valve disease. We included community-based cohorts participating in the CHARGE consortium (n?=?6942), including the Framingham Heart Study (cohort inception to last follow-up: 1971-2013; n?=?1295), Multi-Ethnic Study of Atherosclerosis (2000-2012; n?=?2527), Age Gene/Environment Study-Reykjavik (2000-2012; n?=?3120), and the Malmö Diet and Cancer Study (MDCS, 1991-2010; n?=?28,461). MAIN OUTCOMES AND MEASURES:Aortic valve calcium quantified by computed tomography in CHARGE and incident aortic stenosis in the MDCS. RESULTS:The prevalence of aortic valve calcium across the 3 CHARGE cohorts was 32% (n?=?2245). In the MDCS, over a median follow-up time of 16.1 years, aortic stenosis developed in 17 per 1000 participants (n?=?473) and aortic valve replacement for aortic stenosis occurred in 7 per 1000 (n?=?205). Plasma LDL-C, but not HDL-C or TG, was significantly associated with incident aortic stenosis (hazard ratio [HR] per mmol/L, 1.28; 95% CI, 1.04-1.57; P?=?.02; aortic stenosis incidence: 1.3% and 2.4% in lowest and highest LDL-C quartiles, respectively). The LDL-C GRS, but not HDL-C or TG GRS, was significantly associated with presence of aortic valve calcium in CHARGE (odds ratio [OR] per GRS increment, 1.38; 95% CI, 1.09-1.74; P?=?.007) and with incident aortic stenosis in MDCS (HR per GRS increment, 2.78; 95% CI, 1.22-6.37; P?=?.02; aortic stenosis incidence: 1.9% and 2.6% in lowest and highest GRS quartiles, respectively). In sensitivity analyses excluding variants weakly associated with HDL-C or TG, the LDL-C GRS remained associated with aortic valve calcium (P?=?.03) and aortic stenosis (P?=?.009). In instrumental variable analysis, LDL-C was associated with an increase in the risk of incident aortic stenosis (HR per mmol/L, 1.51; 95% CI, 1.07-2.14; P?=?.02). CONCLUSIONS AND RELEVANCE:Genetic predisposition to elevated LDL-C was associated with presence of aortic valve calcium and incidence of aortic stenosis, providing evidence supportive of a causal association between LDL-C and aortic valve disease. Whether earlier intervention to reduce LDL-C could prevent aortic valve disease merits further investigation.

Project description:BackgroundWe have demonstrated previously that enzymatically degraded low-density lipoprotein (eLDL) is an essential causative component for the initiation of atherosclerosis. Here, we investigated the different stages of human aortic valve sclerosis for the presence of eLDL and effectors of the innate immune system, as well as the interaction of eLDL with isolated valvular interstitial cells/myofibroblasts to discover possible pathways leading to aortic valve sclerosis.Methods and resultsHuman aortic valvular tissue was obtained from 68 patients undergoing valve replacement surgery. Patients were classified into 3 groups (mild, moderate, or severe aortic valve sclerosis), and clinical data for statistical analysis were gathered from all patients. Immunohistochemical staining demonstrated extensive extracellular deposits of eLDL throughout all grades of aortic valve sclerosis. Complementary analysis of lipid composition revealed higher concentrations of the decisive components of eLDL (ie, unesterified cholesterol and linoleic acid) compared with internal control tissues. Further, the complement component C3d and terminal complement complexes colocalized with eLDL compatible with the proposal that subendothelially deposited eLDL is enzymatically transformed into a complement activator at early stages of valvular cusp lesion development. Gene expression profiles of proteases and complement components corroborated by immunohistochemistry demonstrated an upregulation of the protease cathepsin D (a possible candidate for LDL degradation to eLDL) and the complement inhibitor CD55. Surprisingly, substantial C-reactive protein expression was not observed before grade 2 aortic valve sclerosis as investigated with microarray analysis, reverse transcription-polymerase chain reaction analysis, and immunohistochemistry. Finally, we demonstrated cellular uptake of eLDL by valvular interstitial cells/myofibroblasts.ConclusionsThe present study is a startup of a hypothesis on the pathogenesis of aortic valve sclerosis declaring extracellular lipoprotein modification, subsequent complement activation, and cellular uptake by valvular interstitial cells/myofibroblasts as integral players.

Dataset Information

Aortic valve calcium score in hypercholesterolemic patients with and without low-density lipoprotein receptor gene mutation.

Publications

Aortic valve calcium score in hypercholesterolemic patients with and without low-density lipoprotein receptor gene mutation.

Similar Datasets

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