Yoon Jin-Ha, Park Jong-Ku, Oh Sung-Soo, Lee Ki-Hyun, Kim Sung-Kyung, Kim Jong-Koo, Kang Hee-Taik, Youn Young-Jin, Lee Jun-Won, Lee Seung-Hwan, Eom Ae-Yong, Chung Choon-Hee, Kim Jang-Young, Koh Sang-Baek
Department of Preventive Medicine, Wonju College of Medicine, Yonsei University, Wonju 220-710, South Korea.
Ann Hum Biol. 2011 Sep;38(5):640-6. doi: 10.3109/03014460.2011.598188. Epub 2011 Jul 12.
Metabolic syndrome (MetS) is considered to be an insulin-resistance syndrome, but recent evidence suggests that MetS has multiple physiological origins which may be related to atherosclerosis. This study investigated clustering patterns of metabolic risk factors and its association with sub-clinical atherosclerosis.
This study used factor analysis of 11 metabolic factors in 1374 individuals to define clustering patterns and determine their association with carotid intima-media thickness (CIMT). Eleven metabolic factors were used: body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), fasting blood insulin (FBI), serum triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), homeostasis model assessment-insulin resistance (HOMA-IR), high-sensitivity C-reactive protein (hsCRP) and adiponectin. Two regression analyses were done, the first using individual metabolic variables and the second using each factor from the factor analysis to evaluate their relationships with CIMT.
Four clustering patterns, insulin-resistance factor (FBG, FBI, HOMA-IR), obesity-inflammatory factor (BMI, WC, hsCRP), blood pressure factor (SBP, DBP) and lipid metabolic factor (HDL-C, TG, adiponectin) were categorized. In a multivariate regression model after adjustment for age, sex, low-density lipoprotein cholesterol and smoking history (pack year), insulin resistance factor (B = 11.09, p = 0.026), obesity-inflammatory factor (B = 18.50, p < 0.001), blood pressure factor (B = 12.84, p = 0.010) and lipid metabolic factor (B = - 11.55, p = 0.023) were found to be significantly associated with CIMT.
In conclusion, metabolic risk factors have four distinct clustering patterns that are independently associated with sub-clinical atherosclerosis.
代谢综合征（MetS）被认为是一种胰岛素抵抗综合征，但最近的证据表明，MetS有多种生理起源，可能与动脉粥样硬化有关。本研究调查了代谢危险因素的聚集模式及其与亚临床动脉粥样硬化的关联。
本研究对1374名个体的11种代谢因素进行因子分析，以确定聚集模式，并确定它们与颈动脉内膜中层厚度（CIMT）的关联。使用了11种代谢因素：体重指数（BMI）、腰围（WC）、收缩压（SBP）、舒张压（DBP）、空腹血糖（FBG）、空腹血胰岛素（FBI）、血清甘油三酯（TG）、高密度脂蛋白胆固醇（HDL-C）、稳态模型评估胰岛素抵抗（HOMA-IR）、高敏C反应蛋白（hsCRP）和脂联素。进行了两项回归分析，第一项使用个体代谢变量，第二项使用因子分析中的每个因子来评估它们与CIMT的关系。
分类出四种聚集模式，即胰岛素抵抗因子（FBG、FBI、HOMA-IR）、肥胖炎症因子（BMI、WC、hsCRP）、血压因子（SBP、DBP）和脂质代谢因子（HDL-C、TG、脂联素）。在对年龄、性别、低密度脂蛋白胆固醇和吸烟史（包年）进行调整后的多变量回归模型中，发现胰岛素抵抗因子（B = 11.09，p = 0.026）、肥胖炎症因子（B = 18.50，p < 0.001）、血压因子（B = 12.84，p = 0.010）和脂质代谢因子（B = - 11.55，p = 0.023）与CIMT显著相关。
总之，代谢危险因素有四种不同的聚集模式，它们与亚临床动脉粥样硬化独立相关。
