Zhou Lihua, Sun Quanya, Wang Yaxin, Zhou Jian, Zhao Xiaolong
Department of Endocrinology, Shanghai Public Health Clinical Center, Shanghai, China.
Department of Endocrinology, Huashan Hospital Fudan University, Shanghai, China.
Endocrine. 2025 Feb;87(2):474-480. doi: 10.1007/s12020-024-04047-0. Epub 2024 Sep 25.
Acromegaly has a high risk of abnormal glucose metabolism. The complexity of the glucose time series index (CGI) is calculated from refined composite multi-scale entropy analysis of the continuous glucose monitoring (CGM) data. CGI is a new indicator of glucose imbalance based on ambulatory glucose monitoring technology, which allows for earlier response to glucose metabolism imbalance and correlates with patient prognosis.
To compare the differences in glucose metabolic profile and CGI between acromegaly with normal glucose tolerance (NGT) and healthy subjects.
Eight newly diagnosed patients with acromegaly (GH group) and eight age- and gender-matched healthy subjects (Control group) were included in this study. All participants underwent oral glucose tolerance test (OGTT) and 72-h CGM. A refined composite multi-scale entropy analysis was performed on the CGM data to calculate the CGI and we compare the differences in glycemic profiles and CGI between the two groups.
After OGTT, compared with the control group, patients in the GH group had higher 2 h blood glucose (BG) (mmol/L) [GH vs control, 6.7 (6.1, 7.0) vs 5.2 (3.8, 6.3), P = 0.012], 3 h BG [5.1 (3.8, 6.5) vs 4.0 (3.4, 4.2), P = 0.046], mean BG [6.3 (6.1, 6.5) vs 5.5 (5.1, 5.9), P = 0.002], 2 h insulin (mU/L) [112.9 (46.8, 175.5) vs 34.1 (17.1, 55.6), P = 0.009], and 3 h insulin [26.8 (17.1, 55.4) vs 10.4 (4.2, 17.8), P = 0.016]. CGI was lower in the GH group [2.77 (1.92, 3.15) vs 4.2 (3.3, 4.8), P = 0.008]. Spearman's correlation analysis showed insulin-like growth factor (IGF) (r = -0.897, P < 0.001) and mean glucose (r = -0.717, P = 0.003) were significantly negatively correlated with CGI. Multiple linear stepwise regression showed that IGF-1 (r = -0.652, P = 0.028) was independent factor associated with CGI in acromegaly.
IGF-1 was significantly associated with CGI, and CGI may serve as a novel marker to evaluate glucose homeostasis in acromegaly with normal glucose tolerance.
肢端肥大症患者存在葡萄糖代谢异常的高风险。葡萄糖时间序列指数(CGI)的复杂性是通过对连续血糖监测(CGM)数据进行精细的复合多尺度熵分析来计算的。CGI是基于动态血糖监测技术的一种新的葡萄糖失衡指标,能够对葡萄糖代谢失衡做出更早反应,并与患者预后相关。
比较葡萄糖耐量正常(NGT)的肢端肥大症患者与健康受试者的葡萄糖代谢特征及CGI差异。
本研究纳入8例新诊断的肢端肥大症患者(GH组)和8例年龄、性别匹配的健康受试者(对照组)。所有参与者均接受口服葡萄糖耐量试验(OGTT)及72小时CGM监测。对CGM数据进行精细的复合多尺度熵分析以计算CGI,并比较两组间血糖谱及CGI的差异。
OGTT后,与对照组相比,GH组患者2小时血糖(BG)(mmol/L)[GH组 vs 对照组,6.7(6.1,7.0) vs 5.2(3.8,6.3),P = 0.012]、3小时BG[5.1(3.8,6.5) vs 4.0(3.4,4.2),P = 0.046]、平均BG[6.3(6.1,6.5) vs 5.5(5.1,5.9),P = 0.002]、2小时胰岛素(mU/L)[112.9(46.8,175.5) vs 34.1(17.1,55.6),P = 0.009]及3小时胰岛素[26.8(17.1,55.4) vs 10.4(4.2,17.8),P = 0.016]均更高。GH组的CGI更低[2.77(1.92,3.15) vs 4.2(3.3,4.8),P = 0.008]。Spearman相关性分析显示胰岛素样生长因子(IGF)(r = -0.897,P < 0.001)及平均血糖(r = -0.717,P = 0.003)与CGI显著负相关。多元线性逐步回归显示IGF-1(r = -0.652,P = 0.028)是肢端肥大症患者中与CGI相关的独立因素。
IGF-1与CGI显著相关,CGI可能作为评估葡萄糖耐量正常的肢端肥大症患者葡萄糖稳态的新型标志物。