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糖耐量正常受试者的血糖变异性:与身体成分、胰岛素分泌及敏感性的关系。

Glucose variability in subjects with normal glucose tolerance: Relations with body composition, insulin secretion and sensitivity.

作者信息

Klimontov Vadim V, Semenova Julia F

机构信息

Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology - Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL - Branch of IC&G SB RAS), 630060, Novosibirsk, Russia.

Laboratory of Endocrinology, Research Institute of Clinical and Experimental Lymphology - Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (RICEL - Branch of IC&G SB RAS), 630060, Novosibirsk, Russia.

出版信息

Diabetes Metab Syndr. 2022 Jan;16(1):102387. doi: 10.1016/j.dsx.2022.102387. Epub 2022 Jan 5.

Abstract

BACKGROUND AND AIMS

To estimate the determinants of glucose variability (GV) in young and middle-aged non-obese subjects with normal glucose tolerance (NGT) we assessed relations between GV parameters, body composition, insulin secretion and sensitivity indices.

METHODS

Thirty individuals with normal body mass index (BMI) and twenty overweight subjects were included. 24-hour mean glucose, time in range, time above range (TAR), time below range (TBR), standard deviation (SD), coefficient of variation (CV), mean amplitude of glucose excursions (MAGE), continuous overlapping net glycemic action (CONGA), J-index, lability index (LI), mean absolute glucose (MAG), M-value, high blood glucose index (HBGI), low blood glucose index (LBGI) were derived from continuous glucose monitoring. Body composition was assessed by DEXA. Insulin secretion and sensitivity was estimated by HOMA-IR and HOMA-B scores.

RESULTS

Overweight subjects demonstrated higher mean glucose, CONGA, J-index and lower TBR, M-value and LBGI values. Mean glucose correlated positively with total, trunk, gynoid and android fat mass, while M-value and LBGI demonstrated negative correlations with these parameters. In multiple stepwise regression analysis, android fat mass was a predictor of mean glucose, CONGA, J-index, SD and MAGE, gynoid fat mass predicted J-index only, and total fat mass was associated inversely with MAG. Fasting insulin was a predictor of TAR, SD, CV, MAGE, MAG, LI and HBGI. HOMA-B was associated with CONGA, M-value and LBGI.

CONCLUSION

In non-obese subjects with NGT mean glucose and GV parameters are related to fat mass and fat distribution. These relations can be mediated through insulin secretion and sensitivity.

摘要

背景与目的

为了评估糖耐量正常(NGT)的中青年非肥胖受试者血糖变异性(GV)的决定因素,我们评估了GV参数、身体成分、胰岛素分泌和敏感性指标之间的关系。

方法

纳入30名体重指数(BMI)正常的个体和20名超重受试者。通过持续葡萄糖监测得出24小时平均血糖、血糖在正常范围内的时间、高于正常范围的时间(TAR)、低于正常范围的时间(TBR)、标准差(SD)、变异系数(CV)、血糖波动平均幅度(MAGE)、连续重叠血糖净作用(CONGA)、J指数、血糖不稳定指数(LI)、平均绝对血糖(MAG)、M值、高血糖指数(HBGI)、低血糖指数(LBGI)。通过双能X线吸收法(DEXA)评估身体成分。通过稳态模型评估胰岛素抵抗(HOMA-IR)和稳态模型评估胰岛β细胞功能(HOMA-β)评分来估计胰岛素分泌和敏感性。

结果

超重受试者的平均血糖、CONGA、J指数较高,而TBR、M值和LBGI值较低。平均血糖与总脂肪量、躯干脂肪量、臀区脂肪量和腹部脂肪量呈正相关,而M值和LBGI与这些参数呈负相关。在多元逐步回归分析中,腹部脂肪量是平均血糖、CONGA、J指数、SD和MAGE的预测因子,臀区脂肪量仅预测J指数,总脂肪量与MAG呈负相关。空腹胰岛素是TAR、SD、CV、MAGE、MAG、LI和HBGI的预测因子。HOMA-β与CONGA、M值和LBGI相关。

结论

在糖耐量正常的非肥胖受试者中,平均血糖和GV参数与脂肪量和脂肪分布有关。这些关系可通过胰岛素分泌和敏感性介导。

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