Metabolic and Inflammatory Profiles of Biomarkers in Obesity, Metabolic Syndrome, and Diabetes in a Mediterranean Population. DARIOS Inflammatory Study

IF 4.9 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Revista española de cardiología (English ed.) Pub Date : 2014-08-01 DOI:10.1016/j.rec.2013.10.019
Daniel Fernández-Bergés , Luciano Consuegra-Sánchez , Judith Peñafiel , Antonio Cabrera de León , Joan Vila , Francisco Javier Félix-Redondo , Antonio Segura-Fragoso , José Lapetra , María Jesús Guembe , Tomás Vega , Montse Fitó , Roberto Elosua , Oscar Díaz , Jaume Marrugat
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引用次数: 22

Abstract

Introduction and objectives

There is a paucity of data regarding the differences in the biomarker profiles of patients with obesity, metabolic syndrome, and diabetes mellitus as compared to a healthy, normal weight population. We aimed to study the biomarker profile of the metabolic risk continuum defined by the transition from normal weight to obesity, metabolic syndrome, and diabetes mellitus.

Methods

We performed a pooled analysis of data from 7 cross-sectional Spanish population-based surveys. An extensive panel comprising 20 biomarkers related to carbohydrate metabolism, lipids, inflammation, coagulation, oxidation, hemodynamics, and myocardial damage was analyzed. We employed age- and sex-adjusted multinomial logistic regression models for the identification of those biomarkers associated with the metabolic risk continuum phenotypes: obesity, metabolic syndrome, and diabetes mellitus.

Results

A total of 2851 subjects were included for analyses. The mean age was 57.4 (8.8) years, 1269 were men (44.5%), and 464 participants were obese, 443 had metabolic syndrome, 473 had diabetes mellitus, and 1471 had a normal weight (healthy individuals). High-sensitivity C-reactive protein, apolipoprotein B100, leptin, and insulin were positively associated with at least one of the phenotypes of interest. Apolipoprotein A1 and adiponectin were negatively associated.

Conclusions

There are differences between the population with normal weight and that having metabolic syndrome or diabetes with respect to certain biomarkers related to the metabolic, inflammatory, and lipid profiles. The results of this study support the relevance of these mechanisms in the metabolic risk continuum. When metabolic syndrome and diabetes mellitus are compared, these differences are less marked.

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地中海人群中肥胖、代谢综合征和糖尿病生物标志物的代谢和炎症特征达里奥斯炎症研究
前言和目的关于肥胖、代谢综合征和糖尿病患者的生物标志物与健康、正常体重人群的差异的数据缺乏。我们的目的是研究由正常体重到肥胖、代谢综合征和糖尿病转变所定义的代谢风险连续体的生物标志物特征。方法:我们对7项西班牙人口调查的数据进行了汇总分析。分析了包括20种与碳水化合物代谢、脂质、炎症、凝血、氧化、血流动力学和心肌损伤相关的生物标志物。我们采用年龄和性别调整的多项逻辑回归模型来识别与代谢风险连续表型相关的生物标志物:肥胖、代谢综合征和糖尿病。结果共纳入2851例受试者进行分析。平均年龄为57.4(8.8)岁,男性1269人(44.5%),肥胖464人,代谢综合征443人,糖尿病473人,体重正常1471人(健康个体)。高敏c反应蛋白、载脂蛋白B100、瘦素和胰岛素与至少一种感兴趣的表型呈正相关。载脂蛋白A1与脂联素呈负相关。结论体重正常人群与代谢综合征或糖尿病患者在代谢、炎症和脂质相关的生物标志物方面存在差异。本研究结果支持这些机制在代谢风险连续体中的相关性。当代谢综合征和糖尿病比较时,这些差异就不那么明显了。
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来源期刊
CiteScore
7.70
自引率
0.00%
发文量
219
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