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Association of Toll-like receptor 4 polymorphism with age-dependent systolic blood pressure increase in patients with coronary artery disease

Overview of attention for article published in Immunity & Ageing, May 2015
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Title
Association of Toll-like receptor 4 polymorphism with age-dependent systolic blood pressure increase in patients with coronary artery disease
Published in
Immunity & Ageing, May 2015
DOI 10.1186/s12979-015-0031-2
Pubmed ID
Authors

Simon Schneider, Werner Koch, Petra Hoppmann, Romy Ubrich, Stephan Kemmner, Eva Steinlechner, Uwe Heemann, Karl-Ludwig Laugwitz, Adnan Kastrati, Marcus Baumann

Abstract

Systolic blood pressure (SBP) increases steadily with age and bears an independent continuous relationship with the incidence of cardiovascular events. Low-grade inflammation is a suspected pathomechanism causing vascular aging and promote coronary artery disease (CAD). Recent animal studies give evidence that Toll-like receptor 4 (TLR4) modulate inflammation and contribute to age-dependent SBP increase. However, there are no data about TLR4 and age-dependent blood pressure increase in human. We therefor investigate a human cohort of 2679 patients with CAD aged between 50-80 years. Genotypes were determined for the TLR4 single nucleotide polymorphism rs4986790 (TLR4 896A/G). Patients were stratified according to tertiles of age and the upper tertile was compared to lower tertiles. In this cohort we show that older patients with the TLR4 896 G allele had significantly lower SBP (TLR4 G allele carriers: 148.2 ± 30.4 mmHg versus A/A allele carrier: 154.9 ± 27.2 mmHg; P < 0.05) and lower pulse pressure (TLR4 G allele carriers: 69.1 ± 29.7 mmHg versus A/A allele carrier: 75.5 ± 26.4 mmHg; P < 0.05) as compared to TLR4 896A/A allele carrier. We demonstrate an association between the TLR4 SNP rs4986790 genotype and age-dependant blood pressure increase in patients with coronary artery disease.

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Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Ph. D. Student 2 20%
Lecturer 1 10%
Student > Bachelor 1 10%
Researcher 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Agricultural and Biological Sciences 2 20%
Biochemistry, Genetics and Molecular Biology 2 20%
Unknown 3 30%