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2 型糖尿病的发病机制、风险评估和预防。

Pathogenesis, risk assessment and prevention of type 2 diabetes mellitus.

机构信息

German Institute of Human Nutrition Potsdam-Rehbrucke, Nuthetal, Germany.

出版信息

Obes Facts. 2008;1(3):128-37. doi: 10.1159/000137673. Epub 2008 Jun 20.

Abstract

Type 2 diabetes mellitus is a complex, polygenic disease with a heterogeneous pathophysiology, mainly characterised by obesity-associated insulin resistance and a progressive failure of pancreatic beta-cells. Predominant risk factors for its development are abdominal obesity and age; other factors that augment the individual disease risk independent of obesity are the nutritional pattern (low consumption of fibres, high consumption of red meat, saturated and trans fat), lifestyle (smoking, low physical activity), and biomarkers such as blood pressure, HbA1c, serum adiponectin and inflammatory cytokines. These variables can provide the basis for a precise risk assessment and a personalised prevention. Genotyping for the presently known gene variants conferring an increased disease risk adds relatively little to the information provided by the phenotypic risk factors and biomarkers. However, genetic information is necessary for a personalised risk assessment and intervention that begins before phenotypic risk factors are detectable. The incidence of type 2 diabetes can significantly be lowered by reduction of the intraabdominal fat mass (by nutritional intervention and exercise), and by pharmacological control of post-prandial blood glucose excursions. Because of the high portion of non-responders to a preventive intervention, current efforts aim at the identification of phenotypic and genetic variables predicting the success of the intervention.

摘要

2 型糖尿病是一种复杂的、多基因疾病,具有异质性的病理生理学,主要表现为与肥胖相关的胰岛素抵抗和胰腺β细胞的进行性衰竭。其主要的发病危险因素是腹部肥胖和年龄;其他增加个体疾病风险而与肥胖无关的因素是营养模式(纤维摄入低、红肉、饱和脂肪和反式脂肪摄入高)、生活方式(吸烟、低体力活动)和生物标志物,如血压、HbA1c、血清脂联素和炎性细胞因子。这些变量可以为精确的风险评估和个性化预防提供依据。目前已知的增加疾病风险的基因变异的基因分型相对较少地增加了表型危险因素和生物标志物提供的信息。然而,遗传信息对于在可检测到表型危险因素之前开始的个性化风险评估和干预是必要的。通过减少内脏脂肪量(通过营养干预和运动)和控制餐后血糖波动,可以显著降低 2 型糖尿病的发病率。由于对预防干预的非应答者比例较高,目前的努力旨在确定预测干预成功的表型和遗传变量。

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