Publications by authors named "A Paulin"

Background: Lp(a) (lipoprotein(a)) is an independent risk factor for calcific aortic valve stenosis (CAVS). Whether patients with CAVS and high Lp(a) levels are at higher risk of valvular or cardiovascular events is unknown. The aim of this study is to determine whether higher Lp(a) levels are associated with valvular and cardiovascular outcomes in patients with CAVS.

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Article Synopsis
  • Researchers are exploring therapies targeting ANGPTL3 to lower lipoprotein-lipid levels and reduce the risk of cardiovascular diseases.
  • The study employed Mendelian randomisation to assess how genetic variations affect ANGPTL3 expression and their potential impact on triglyceride and apoB levels, as well as various heart-related conditions.
  • Results showed that common genetic variants significantly lowered plasma triglyceride levels, while having minimal effects on LDL cholesterol and no impact on coronary artery disease or other cardiometabolic diseases.
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Background And Aims: Individuals with a higher abdominal adipose tissue accumulation are at higher risk of developing cardiometabolic diseases. For a given body mass index (BMI), women typically present lower abdominal adipose tissue accumulation compared to men. Whether abdominal adiposity is a causal driver of cardiometabolic risk, or a mere marker of ectopic fat deposition is debated.

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Background: Lp(a) (lipoprotein[a]) is a highly atherogenic lipoprotein subfraction that may contribute to polygenic risk of coronary artery disease (CAD), but the extent of this contribution is unknown. Our objective was to estimate the contribution of Lp(a) to polygenic risk of CAD and to evaluate the respective contributions of Lp(a) and a CAD polygenic risk score (PRS) to CAD.

Methods: A total of 372 385 UK Biobank participants of European ancestry free of CAD at baseline were included.

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Background The impact of an elevated body mass index (BMI) on atherosclerotic cardiovascular disease (ASCVD) risk in individuals who are metabolically healthy is debated. We investigated the respective contributions of BMI as well as lifestyle and cardiometabolic risk factors combined to ASCVD incidence in 319 866 UK Biobank participants. Methods and Results We developed a cardiovascular health score (CVHS) based on 4 lifestyle and 6 cardiometabolic parameters.

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