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糖尿病患者的血糖控制波动模式。

Oscillatory pattern of glycemic control in patients with diabetes mellitus.

机构信息

Clínica Santa María, Santiago, Chile.

Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Navarra, Spain.

出版信息

Sci Rep. 2021 Mar 11;11(1):5789. doi: 10.1038/s41598-021-84822-5.

DOI:10.1038/s41598-021-84822-5
PMID:33707491
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7970978/
Abstract

Daily glucose variability is higher in diabetic mellitus (DM) patients which has been related to the severity of the disease. However, it is unclear whether glycemic variability displays a specific pattern oscillation or if it is completely random. Thus, to determine glycemic variability pattern, we measured and analyzed continuous glucose monitoring (CGM) data, in control subjects and patients with DM type-1 (T1D). CGM data was assessed for 6 days (day: 08:00-20:00-h; and night: 20:00-08:00-h). Participants (n = 172; age = 18-80 years) were assigned to T1D (n = 144, females = 65) and Control (i.e., healthy; n = 28, females = 22) groups. Anthropometry, pharmacologic treatments, glycosylated hemoglobin (HbA1c) and years of evolution were determined. T1D females displayed a higher glycemia at 10:00-14:00-h vs. T1D males and Control females. DM patients displays mainly stationary oscillations (deterministic), with circadian rhythm characteristics. The glycemia oscillated between 2 and 6 days. The predictive model of glycemia showed that it is possible to predict hyper and hypoglycemia (R = 0.94 and 0.98, respectively) in DM patients independent of their etiology. Our data showed that glycemic variability had a specific oscillation pattern with circadian characteristics, with episodes of hypoglycemia and hyperglycemia at day phases, which could help therapeutic action for this population.

摘要

糖尿病(DM)患者的日常血糖变异性较高,这与疾病的严重程度有关。然而,目前尚不清楚血糖变异性是否呈现出特定的模式震荡,还是完全随机的。因此,为了确定血糖变异性的模式,我们测量并分析了 1 型糖尿病(T1D)患者和对照受试者的连续血糖监测(CGM)数据。CGM 数据评估了 6 天(白天:08:00-20:00 小时;夜间:20:00-08:00 小时)。参与者(n=172;年龄 18-80 岁)被分为 T1D(n=144,女性=65)和对照组(即健康;n=28,女性=22)。测量了人体测量学、药物治疗、糖化血红蛋白(HbA1c)和病程。T1D 女性在 10:00-14:00 小时的血糖水平高于 T1D 男性和对照组女性。DM 患者的血糖主要表现为具有昼夜节律特征的固定震荡(确定性)。血糖在 2 到 6 天之间波动。血糖预测模型显示,无论病因如何,都可以预测 DM 患者的高血糖和低血糖(分别为 R=0.94 和 0.98)。我们的数据表明,血糖变异性具有特定的震荡模式和昼夜节律特征,白天会出现低血糖和高血糖发作,这可能有助于该人群的治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/a2566a0c02a2/41598_2021_84822_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/a54612eb5cf7/41598_2021_84822_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/fd4b6a3c5983/41598_2021_84822_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/9197fc58d44c/41598_2021_84822_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/5157c5e7f23c/41598_2021_84822_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/d38c5843c634/41598_2021_84822_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/a2566a0c02a2/41598_2021_84822_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/a54612eb5cf7/41598_2021_84822_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/fd4b6a3c5983/41598_2021_84822_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/9197fc58d44c/41598_2021_84822_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/5157c5e7f23c/41598_2021_84822_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/d38c5843c634/41598_2021_84822_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b1c/7970978/a2566a0c02a2/41598_2021_84822_Fig6_HTML.jpg

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本文引用的文献

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2
Continuous Glucose Monitoring: Review of an Innovation in Diabetes Management.连续血糖监测:糖尿病管理创新综述。
Am J Med Sci. 2019 Nov;358(5):332-339. doi: 10.1016/j.amjms.2019.07.003. Epub 2019 Jul 17.
3
Predictive modeling of hypoglycemia for clinical decision support in evaluating outpatients with diabetes mellitus.预测糖尿病门诊患者低血糖的模型,以支持临床决策。
生物钟控制的线粒体动态在糖尿病心肌病中的作用。
Front Immunol. 2023 May 5;14:1142512. doi: 10.3389/fimmu.2023.1142512. eCollection 2023.
4
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5
A diabetic milieu increases ACE2 expression and cellular susceptibility to SARS-CoV-2 infections in human kidney organoids and patient cells.高血糖环境增加了人类肾类器官和患者细胞中 ACE2 的表达和对 SARS-CoV-2 感染的易感性。
Cell Metab. 2022 Jun 7;34(6):857-873.e9. doi: 10.1016/j.cmet.2022.04.009. Epub 2022 May 12.
6
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Front Psychiatry. 2021 Sep 3;12:684445. doi: 10.3389/fpsyt.2021.684445. eCollection 2021.
Curr Med Res Opin. 2019 Nov;35(11):1885-1891. doi: 10.1080/03007995.2019.1636016. Epub 2019 Aug 1.
4
Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.临床连续血糖监测数据解读目标:时间范围国际共识推荐意见。
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5
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6
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7
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