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糖尿病状态下恒河猴葡萄糖动力学复杂性降低。

Decreased complexity of glucose dynamics in diabetes in rhesus monkeys.

机构信息

Early Development Statistics, Merck & Co., Inc., Kenilworth, NJ, 07033, USA.

Laboratory Animal Resources, Merck & Co., Inc., Kenilworth, NJ, 07033, USA.

出版信息

Sci Rep. 2019 Feb 5;9(1):1438. doi: 10.1038/s41598-018-36776-4.

Abstract

Until recently, preclinical and clinical work on diabetes has focused on the understanding of blood glucose elevation and its detrimental metabolic sequelae. The advent of continuous glucose monitoring (CGM) technology now allows real time monitoring of blood glucose levels as a time series, and thus the exploration of glucose dynamics at short time scales. Previous work has shown decreases in the complexity of glucose dynamics, as measured by multiscale entropy (MSE) analysis, in diabetes in humans, mice, and rats. Analyses for non-human primates (NHP) have not been reported, nor is it known if anti-diabetes compounds affect complexity of glucose dynamics. We instrumented four healthy and six diabetic rhesus monkeys with CGM probes in the carotid artery and collected glucose values at a frequency of one data point per second for the duration of the sensors' life span. Sensors lasted between 45 and 78 days. Five of the diabetic rhesus monkeys were also administered the anti-diabetic drug liraglutide daily beginning at day 39 of the CGM monitoring period. Glucose levels fluctuated during the day in both healthy and diabetic rhesus monkeys, peaking between 12 noon - 6 pm. MSE analysis showed reduced complexity of glucose dynamics in diabetic monkeys compared to healthy animals. Although liraglutide decreased glucose levels, it did not restore complexity in diabetic monkeys consistently. Complexity varied by time of day, more strongly for healthy animals than for diabetic animals. And by dividing the monitoring period into 3-day or 1-week subperiods, we were able to estimate within-animal variability of MSE curves. Our data reveal that decreased complexity of glucose dynamics is a conserved feature of diabetes from rodents to NHPs to man.

摘要

直到最近,糖尿病的临床前和临床研究都集中在理解血糖升高及其不良代谢后果上。连续血糖监测 (CGM) 技术的出现现在允许实时监测血糖水平作为时间序列,从而探索短时间尺度上的血糖动态。以前的工作表明,在人类、小鼠和大鼠的糖尿病中,多尺度熵 (MSE) 分析测量的血糖动态复杂性降低。尚未报道非人类灵长类动物 (NHP) 的分析结果,也不知道抗糖尿病化合物是否会影响血糖动态的复杂性。我们用 CGM 探头在颈动脉为四只健康和六只糖尿病恒河猴植入探头,并以每秒一个数据点的频率收集了传感器寿命期间的血糖值。传感器的寿命在 45 到 78 天之间。在 CGM 监测期间的第 39 天开始,有五只糖尿病恒河猴每天还给予抗糖尿病药物利拉鲁肽治疗。健康和糖尿病恒河猴的血糖水平在白天波动,峰值在中午 12 点至下午 6 点之间。MSE 分析表明,糖尿病猴子的血糖动态复杂性降低。尽管利拉鲁肽降低了血糖水平,但并没有始终恢复糖尿病猴子的复杂性。复杂性随时间变化,对健康动物的影响比糖尿病动物更强烈。通过将监测期分为 3 天或 1 周的子期,我们能够估计 MSE 曲线的个体内变异性。我们的数据表明,血糖动态复杂性降低是从啮齿动物到 NHP 再到人糖尿病的一个保守特征。

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