Evidence in obese children: contribution of hyperlipidemia, obesity-inflammation, and insulin sensitivity.

Evidence in obese children: contribution of hyperlipidemia, obesity-inflammation, and insulin sensitivity.
复制标题

DOI:
10.1371/journal.pone.0125935
复制
发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Juan CC
Juan CC
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Chang CJ;Jian DY;Lin MW;Zhao JZ;Ho LT;Juan CC

文献摘要

被引文献

相似文献

有证据表明,成人肥胖者胰岛素抵抗、炎症和血脂异常的发生率很高。本研究的目的是评估超重/肥胖儿童炎症标志物、循环脂质和胰岛素敏感性的相关性。我们在这项研究中招募了 45 名男孩(年龄 6 至 13 岁,瘦对照 = 16,肥胖 = 19,超重 = 10)。采用定量比色夹心ELISA试剂盒测定血浆总胆固醇、HDL胆固醇、甘油三酯、葡萄糖和胰岛素水平,循环炎症因子TNF-α、IL-6和MCP-1水平以及高灵敏CRP水平。与瘦对照受试者相比,肥胖受试者有明显的胰岛素抵抗、血脂异常和低度炎症。超重受试者仅表现出显着的胰岛素抵抗和低度炎症。超重/肥胖受试者的 TNF-α 和瘦素水平较高。同时进行的相关分析显示,体重指数(BMI)百分位数和空腹胰岛素与胰岛素抵抗、血脂和炎症标志物呈正相关,但与脂联素呈负相关。因子分析确定了三个域,可以解释肥胖儿童总方差的 74.08%(因子 1:脂质,46.05%;因子 2:肥胖-炎症,15.38%;因子 3:胰岛素敏感性域,12.65%)。我们的研究结果表明,脂质、肥胖炎症和胰岛素敏感性领域主要存在于肥胖儿童中。这些因素可能用于预测未来心血管疾病的结果。
Evidence shows a high incidence of insulin resistance, inflammation and dyslipidemia in adult obesity. The aim of this study was to assess the relevance of inflammatory markers, circulating lipids, and insulin sensitivity in overweight/obese children. We enrolled 45 male children (aged 6 to 13 years, lean control = 16, obese = 19, overweight = 10) in this study. The plasma total cholesterol, HDL cholesterol, triglyceride, glucose and insulin levels, the circulating levels of inflammatory factors, such as TNF-α, IL-6, and MCP-1, and the high-sensitive CRP level were determined using quantitative colorimetric sandwich ELISA kits. Compared with the lean control subjects, the obese subjects had obvious insulin resistance, abnormal lipid profiles, and low-grade inflammation. The overweight subjects only exhibited significant insulin resistance and low-grade inflammation. Both TNF-α and leptin levels were higher in the overweight/obese subjects. A concurrent correlation analysis showed that body mass index (BMI) percentile and fasting insulin were positively correlated with insulin resistance, lipid profiles, and inflammatory markers but negatively correlated with adiponectin. A factor analysis identified three domains that explained 74.08% of the total variance among the obese children (factor 1: lipid, 46.05%; factor 2: obesity-inflammation, 15.38%; factor 3: insulin sensitivity domains, 12.65%). Our findings suggest that lipid, obesity-inflammation, and insulin sensitivity domains predominantly exist among obese children. These factors might be applied to predict the outcomes of cardiovascular diseases in the future.