小柯机器人

以色列魏茨曼科学研究所Hagai Rossman和Eran Segal共同合作，近期取得重要工作进展。他们研究开发了CGMap工具，该工具表征了数千名非糖尿病个体的连续血糖监测数据。相关研究成果2023年4月19日在线发表于《细胞—代谢》杂志上。

据介绍，尽管糖尿病的患病率不断上升，但其诊断仍然依赖于血液测试。连续血糖监测（CGM）设备的技术进步为人们扩展对糖尿病患者和非糖尿病患者血糖控制和变异性的理解提供了一种潜在的工具。然而，CGM数据尚未在大规模健康人群中得到表征，这使得CGM数据研究缺乏参考。

研究人员展示了CGMap，这是对2019年至2022年间从7000多名40-70岁的非糖尿病患者中收集的CGM数据的表征。研究人员提供了关键CGM来源的临床测量参考值，可以作为未来CGM研究的工具。研究人员进一步探讨了CGM来源的测量值与糖尿病相关临床参数之间的关系，揭示了几种重要的关系，包括平均血糖与眼底成像和睡眠监测测量值的相关性。

总之，这些发现为理解葡萄糖水平对人类健康各个方面的影响提供了新的研究方向。

附：英文原文

Title: CGMap: Characterizing continuous glucose monitor data in thousands of non-diabetic individuals

Author: Ayya Keshet, Smadar Shilo, Anastasia Godneva, Yeela Talmor-Barkan, Yaron Aviv, Eran Segal, Hagai Rossman

Issue&Volume: 2023-04-19

Abstract: Despite its rising prevalence, diabetes diagnosis still relies on measures from bloodtests. Technological advances in continuous glucose monitoring (CGM) devices introducea potential tool to expand our understanding of glucose control and variability inpeople with and without diabetes. Yet CGM data have not been characterized in large-scalehealthy cohorts, creating a lack of reference for CGM data research. Here we presentCGMap, a characterization of CGM data collected from over 7,000 non-diabetic individuals,aged 40–70 years, between 2019 and 2022. We provide reference values of key CGM-derivedclinical measures that can serve as a tool for future CGM research. We further exploredthe relationship between CGM-derived measures and diabetes-related clinical parameters,uncovering several significant relationships, including associations of mean bloodglucose with measures from fundus imaging and sleep monitoring. These findings offernovel research directions for understanding the influence of glucose levels on variousaspects of human health.

DOI: 10.1016/j.cmet.2023.04.002

Source: https://www.cell.com/cell-metabolism/fulltext/S1550-4131(23)00129-8

Cell Metabolism：《细胞—代谢》，创刊于2005年。隶属于细胞出版社，最新IF：31.373
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