[不同类型肥胖男性的血糖变异性特征]。

M Yu Sorokin, B B Pinkhasov, Yu V Lutov, V G Selyatitskaya
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引用次数: 0

摘要

背景:肥胖通常决定了2型糖尿病发生的代谢基础。因此,分析肥胖个体的血糖变异性,特别是其不同表型的血糖变异性,具有特殊的相关性。目的:探讨在正常饮食条件下,不同脂肪组织分布地形男性的血糖变异性特征。材料与方法:本研究招募了43名年龄在25-65岁之间的男性。1组(n=17)为皮下脂肪分布(SFD)的肥胖男性,2组(n=16)为腹部脂肪分布(AFD)的肥胖男性,3组(比较组)为体重正常(NBW)的10名男性。在正常饮食、工作和体力活动的情况下,对每个研究对象进行2天连续血糖监测(CGM)。对描述白天(6.00-23.59)和夜间(0.00-5.59)小时血糖变异性(GV)的一系列参数、指标和比值进行了评估。结果:未调整脂肪分布的NBW和肥胖男性描述白天和夜间GV的关键参数和指标对比分析,差异无统计学意义。脂肪分布调整后,AFD组平均血糖水平、血糖水平标准差及变异系数显著升高;CONGA指数和j指数也有统计学意义。对分别反映低血糖和高血糖风险的LBGI和HBGI指数的分析显示,肥胖男性SFD患者的LBGI指数较高,而AFD患者的НBGI指数较高。GV参数对比分析表明,白天指标值明显高于夜间。然而,在研究组之间发现的平均血糖水平变化并不明确。其中,NBW患者白天和夜间血糖没有差异,而AFD组夜间血糖水平有下降趋势(p= 0.08),而SFD组夜间血糖下降具有统计学意义(p=0.005)。结论:肥胖男性的血糖变异性评估结果表明,腹部和皮下脂肪分布类型与碳水化合物代谢的特定特征相关,并决定了AFD和SFD患者发生2型糖尿病的不同风险水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Features of glycemic variability in men with different types of obesity].

Background: Obesity generally determines the metabolic basis for the development of type 2 diabetes. Therefore the analysis of glycemic variability in obese individuals, especially in its different phenotypes, acquires particular relevance.

Aim: To investigate the features of glycemic variability in men with different adipose tissue distribution topography within usual dietary conditions.

Materials and methods: The study enrolled 43 men aged 25-65 years. Group 1 (n=17) represented obese men with subcutaneous fat distribution (SFD) while group 2 (n=16) consisted of obese men with abdominal fat distribution (AFD) and group 3 (comparator) included 10 male subjects with normal body weight (NBW). A 2-day continuous glucose monitoring (CGM) under condition of usual diet, work and physical activity was performed in each study subject. A number of parameters, indices and ratios had been assessed describing glycemic variability (GV) for daytime (6.00-23.59) and night (0.00-5.59) hours.

Results: Comparative analysis of key parameters and indices describing daytime and night GV in NBW and obese men without fat distribution adjustment did not reveal statistically significant differences. After fat distribution adjustment  significantly higher mean glucose levels, standard deviation of glycemic levels and coefficient of variation were found in AFD group; also statistically significant differences were revealed in CONGA index and J-index. An analysis of the LBGI and HBGI indices that are respectively reflecting the risks of hypo- and hyperglycemia showed that the LBGI index was higher in obese men with SFD while the НBGI index was higher in men with AFD. A comparative analysis of GV parameters showed that daytime indicators values were significantly higher relative to nighttime. However the ambiguous changes in the mean glucose levels was found between study groups. Specifically in NBW men daytime and nighttime glycemia didn't differ, whereas in AFD group there was a trend to decrease in night glucose levels (p = 0.08) while in men with SFD night decrease in glycemia became statistically significant (p=0.005).

Conclusion: Results of glycemic variability assessment in obese men suggest that abdominal and subcutaneous types of fat distribution are associated with specific features of carbohydrate metabolism and determine different risk levels for developing type 2 diabetes in patients with AFD and SFD.

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