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Chang Liu, Xin Yi, Yongnan Lyu, Wei Ren, Yi Zhou, Gaoke Feng, Weiguo Wan, Xue-jun Jiang
(Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China (mainland))
Med Sci Monit 2021; 27:e929626
DOI: 10.12659/MSM.929626
BACKGROUND:
Angiopoietinlike protein 5 (ANGPTL5) is an adipocytokine and has an important role in metabolic processes including lipid metabolism, obesity, and type 2 diabetes mellitus. On the basis of these roles, the present study aimed to investigate the level and role of plasma ANGPTL5 in metabolic syndrome (MS) patients.
MATERIAL AND METHODS:
A total of 139 participants was enrolled in this study; 69 of them were diagnosed with MS. Plasma ANGPTL5 levels were measured by enzyme-linked immunosorbent assay. Sex, age, and other laboratory tests were compared statistically. Correlations between ANGPTL5 and biochemical parameters such as lipid levels and insulin resistance were all evaluated statistically.
RESULTS:
In patients with MS, plasma ANGPTL5 levels were higher than in those without MS (P<0.05). Moreover, after adjusting for the glucose profiles, positive correlations were found between plasma ANGPTL5 levels and body mass index (BMI), waist circumference, and waist-hip ratio (WHR); a weak negative correlation was found between ANGPTL5 concentration and high-density lipoprotein cholesterol. After controlling the lipid profiles, positive correlations were found between ANGPTL5 concentration and BMI, WHR, fasting plasma glucose, fasting insulin, glycated hemoglobin, and homeostatic model assessment (HOMA) of insulin resistance; a negative correlation was found between plasma ANGPTL5 concentration and HOMA of ß-cell function. The area under the curve was approximately 0.912 in receiver operating characteristic curve analysis.
CONCLUSIONS:
The findings in the present study showed that plasma ANGPTL5 was more positively correlated with glucose metabolism disorders than with lipid metabolism disorders in patients with MS, which suggested that ANGPTL5 might serve as a potential and useful clinical predictor of MS.