Τετάρτη 22 Φεβρουαρίου 2017

Relationship between serum anti-heat shock protein 27 antibody levels and obesity

Publication date: Available online 22 February 2017
Source:Clinical Biochemistry
Author(s): Mehrdad Kargari, Samira Tavassoli, Amir Avan, Mahmoud Ebrahimi, Mahmoud Reza Azarpazhooh, Rasool Asoodeh, Mohsen Nematy, Seyed Mahdi Hassanian, Farzad Rahmani, Elham Mohammadzade, Habibollah Esmaeili, Mohsen Moohebati, Gordon A. Ferns, Majid Ghayour-Mobarhan, Seyed Mohammad Reza Parizadeh
BackgroundHeat shock protein 27 (HSP27) is an intracellular molecular chaperone that is expressed at high levels following the exposure of cells to environmental stressors such as heat, toxins, and free radicals. High levels of HSP antigens and antibody titers have been reported in several conditions including cardiovascular disease and cancers. We measured serum anti-HSP27 antibody levels in 993 subjects and assessed the associations between serum anti-HSP27 antibody levels and demographic characteristics including coronary risk factors.MethodsA total of 993 subjects were recruited as part of the Mashhad Stroke and Heart Atherosclerotic Disorders (MASHAD) cohort study. Demographic, clinical, and biochemical parameters and serum anti-HSP27 antibody titers were determined in all the subjects.ResultsSerum anti-HSP27 antibody levels increased with increasing age in men. No significant differences in levels were detected between men and women. Serum anti-HSP27 antibody levels were significantly higher in obese subjects than in nonobese subjects (P=0.046); however, no significant influence of smoking status was observed. Moreover, serum anti-HSP27 antibody titers were positively associated with age, body mass index, waist/hip ratio, the presence of diabetes mellitus, nonsmoking habit, serum triglycerides, cholesterol, and high-sensitivity c-reactive protein.ConclusionWe have found that serum anti-HSP27 antibody titers are related to several cardiovascular risk factors, necessitating further studies on the value of this emerging marker for risk stratification.



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