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Bone markers and cardiovascular risk in type 2 diabetes patients

Overview of attention for article published in Cardiovascular Diabetology, March 2018
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Title
Bone markers and cardiovascular risk in type 2 diabetes patients
Published in
Cardiovascular Diabetology, March 2018
DOI 10.1186/s12933-018-0691-2
Pubmed ID
Authors

Sabine R. Zwakenberg, Yvonne T. van der Schouw, Casper G. Schalkwijk, Annemieke M. W. Spijkerman, Joline W. J. Beulens

Abstract

Vascular calcifications are associated with a three- to fourfold increased risk of cardiovascular disease (CVD) and are highly prevalent in type 2 diabetes patients. Emerging evidence indicates that vascular calcification is a process of active bone formation regulated by stimulators and inhibitors of calcification. Therefore, this study aimed to evaluate whether six bone markers are associated with CVD risk in patients with type 2 diabetes. We used data of a case-cohort study, nested in the EPIC-NL cohort, comprising 134 CVD cases and a random subcohort of 218 participants, all with type 2 diabetes at baseline. Six bone markers (osteocalcin, osteopontin, osteonectin, osteoprotegerin, alkaline phosphatase and sclerostin) were measured in baseline plasma samples with multiplex assays and information on CVD events was obtained. The association of bone makers with CVD risk was evaluated using Cox proportional hazard analyses. Higher concentrations of plasma osteopontin were associated (ptrend < 0.01) with an increased CVD risk with a hazard ratio of 2.00 (95%-CI 1.20-3.35) for the highest versus the lowest quartile in a multivariable adjusted model. The other bone markers were not associated with CVD risk. Higher osteopontin concentrations were associated with an increased CVD risk in type 2 diabetes patients. No consistent associations were found for the other five bone markers and risk of CVD in type 2 diabetes patients.

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 15%
Student > Master 6 15%
Student > Bachelor 5 13%
Student > Ph. D. Student 4 10%
Other 3 8%
Other 5 13%
Unknown 11 28%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Nursing and Health Professions 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unspecified 1 3%
Other 5 13%
Unknown 16 40%