Triacylglycerols and body fat mass are possible independent predictors of C3 in apparently healthy young Brazilian adults

• Published in: Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2012-05, Vol.28 (5), p.544-550
• Main Authors: Volp, Ana Carolina Pinheiro, Ph.D, Barbosa, Kiriaque Barra Ferreira, Ph.D, Bressan, Josefina, Ph.D
• Format: Article
• Language: English
• Subjects: Adipose Tissue - metabolism; Adolescent; Adult; Anthropometry; Biological and medical sciences; Blood Pressure; Body Composition; Body fat; Body Mass Index; Brazil; Cardiovascular disease; Ceruloplasmin - analysis; Cholesterol; Cholesterol, HDL - blood; Cholesterol, LDL - blood; Complement C3 - analysis; Complement factor-3; Cross-Sectional Studies; Feeding. Feeding behavior; Female; Fundamental and applied biological sciences. Psychology; Gastroenterology and Hepatology; Humans; Impedance; Inflammation; Insulin - blood; Insulin Resistance; Life Style; Lifestyle; Male; Metabolic disorders; Metabolic syndrome; Obesity; Proteins; Regression analysis; Triacylglycerols; Triglycerides - blood; Uric Acid - blood; Vertebrates: anatomy and physiology, studies on body, several organs or systems; Weight control; Young Adult; Young adults
• ISSN: 0899-9007; 1873-1244
• DOI: 10.1016/j.nut.2011.08.014

Abstract Objective To evaluate the association between serum concentrations of complement factor-3 (C3) with anthropometric, biochemical, and lifestyle features in healthy young adults. Methods From 157 young healthy adults 18 to 35 y old, anthropometric measurements and body composition, systolic and diastolic blood pressures, and lifestyle data were collected and analyzed. Blood samples were collected after a 12-h fast for the determination of glucose, triacylglycerols, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, insulin, C3, ceruloplasmin, and uric acid. Results Complement factor-3 correlated directly with body mass index ( r = 0.23417, P = 0.0032), body fat mass (bioelectrical impedance analysis; r = 0.33407, P < 0.0001), percentage of body fat (bioelectrical impedance analysis; r = 0.26873, P = 0.0007), waist circumference ( r = 0.21266, P = 0.0075), insulin ( r = 0.26152, P = 0.0009), homeostasis model assessment of insulin resistance ( r = 0.24831, P = 0.0017), total cholesterol ( r = 0.23335, P = 0.0033), triacylglycerols ( r = 0.38435, P < 0.0001), and other outcome measurements. In the multiple linear regression analysis, triacylglycerols ( r2 = 0.1379, P < 0.0001) and body fat mass (bioelectrical impedance analysis; r2 = 0.0621, P = 0.0010) were independently associated with the C3 concentration after adjusting for age, gender, smoking status, and physical activity. Conclusion Complement factor-3 seems to be related to several anthropometric and biochemical measurements in healthy young adults. These results demonstrate an independent role of triacylglycerols, a component of the metabolic syndrome, and body fat mass as possible predictors of C3 concentrations. Thus, C3 can be used as an early marker for metabolic syndrome manifestations.