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Serum salusin-α and salusin-β levels in patients with Behcet’s disease

Overview of attention for article published in European Journal of Dermatology, December 2014
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Title
Serum salusin-α and salusin-β levels in patients with Behcet’s disease
Published in
European Journal of Dermatology, December 2014
DOI 10.1684/ejd.2014.2397
Pubmed ID
Authors

Ilker Erden, Betül Demir, Haydar Uçak, Demet Cicek, Selma Bakar Dertlioğlu, Suleyman Aydin

Abstract

Background: Behcet's disease (BD) is a chronic, relapsing, systemic vasculitis of unknown etiology. There is an increased predisposition to insulin resistance and metabolic syndrome (MetS) in BD patients. Objective: The aim of this study was to determine serum salusin-α and salusin-β levels in BD patients and healthy controls and to investigate their association with MetS. Patients and Methods: Twenty-five BD patients and 25 healthy controls were included in the study. Salusin-α and salusin-β levels were measured in blood samples using ELISA. In addition, BD patients and healthy controls were evaluated in terms of MetS. Results: The mean serum salusin-α level in BD patients was significantly lower compared to healthy controls (p = 0.03), whereas the mean serum salusin-β level in BD patients was significantly higher compared to healthy controls (p = 0.03). The mean serum salusin-α level was significantly lower in BD patients with MetS compared to BD patients without MetS (p = 0.04). Conclusions: Serum salusin-α level (an anti-atherogenic molecule) was lower, while serum salusin-β level (a pro-atherogenic molecule) was higher in BD patients. We consider that the decrease in salusin-α and the increase in salusin-β levels contribute to the development of MetS.

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Other 2 18%
Professor 1 9%
Unknown 5 45%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Chemistry 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Unknown 6 55%