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Elevated Chemerin Levels in Pakistani Men: An Interrelation with Metabolic Syndrome Phenotypes

Overview of attention for article published in PLOS ONE, February 2013
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Title
Elevated Chemerin Levels in Pakistani Men: An Interrelation with Metabolic Syndrome Phenotypes
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0057113
Pubmed ID
Authors

Syeda Sadia Fatima, Kiymet Bozaoglu, Rehana Rehman, Faiza Alam, Abdul Shakoor Memon

Abstract

Chemerin is a novel protein linked to adipocyte differentiation and the development of metabolic imbalances. We sought to examine the relationship of chemerin with metabolic syndrome disturbances including body fat percentage, serum lipid, glucose, insulin levels and body fat percentage in lean and obese volunteers. A cross-sectional study of 90 randomly selected healthy males from Pakistan were divided into three groups as per Body Mass Index (BMI) criteria for South Asian Population. Anthropometric measurements were taken for BMI, waist circumference, hip circumference and body fat percentage, while serum analyses were performed for fasting blood glucose, fasting insulin, fasting lipid profile and serum chemerin. Associations between serum chemerin levels and body fat and other metabolic syndrome parameters were performed using ANOVA and multiple regression analyses. Data was presented as Mean±SD. In all statistical analyses p-values <0.05 were considered significant. Circulating chemerin levels were significantly higher in obese subjects with BMI greater than 25 kg/m(2) compared with those with a BMI below 25 kg/m(2) (P = 0.001). Serum chemerin levels were found to be independently and significantly associated with serum levels of cholesterol (P = 0.0160; r = 0.255), fasting glucose (P = 0.002; r = 0.323), HOMA-IR (P = 0.004; r = 0.300) and hip circumference (P = 0.021; r = 0.246). This demonstrates that chemerin levels are associated with obesity and dyslipidemia and may play a role in the development of insulin resistance. This data suggests that chemerin may serve as an independent marker in diagnosing these conditions even before they become clinically symptomatic.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Other 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 7 18%
Unknown 15 38%
Readers by discipline Count As %
Medicine and Dentistry 6 15%
Agricultural and Biological Sciences 4 10%
Nursing and Health Professions 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Arts and Humanities 1 3%
Other 7 18%
Unknown 16 41%