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临床试验/NCT06968728
NCT06968728尚未招募不适用

The Interplay Between Sleep Disturbances, Glucose Regulation, and Brain Health in Individuals With Overweight and Obesity

Uppsala University0 个研究点目标入组 400 人开始时间: 2025年5月15日最近更新:
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试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
400
主要终点
Correlation between objective sleep health status and 24-hour glycemic variability

研究概览

简要总结

The primary aim of the NNF study is to investigate both cross-sectional and longitudinal associations between sleep patterns-measured over two consecutive weeks at baseline and again one year later-and indicators of glycemic control and brain health in a cohort of middle-aged adults. Through this effort, the investigators hope to identify potential sleep-related biomarkers and behavioral targets for early intervention to support metabolic and cognitive health.

详细描述

This study investigates the relationship between sleep patterns, glycemic control, and brain health in adults, with a particular focus on middle-aged individuals, including those with normal weight as well as those with overweight or obesity-the latter representing a demographic at elevated risk for type 2 diabetes (T2D). Individual sleep exposures such as sleep duration, sleep quality, sleep timing, and sleep regularity have all been associated with impaired glucose metabolism and indicators of compromised brain health. However, well-controlled studies that comprehensively examine how overall sleep health-considering all these dimensions-is related to both glycemic control and brain health remain limited.

To address this research aim, participants will be recruited from two Swedish sites: Dalarna and Uppsala. Following enrollment and an on-site baseline assessment session, participants' lifestyle behaviors will be monitored over 14 consecutive days. Specifically, nighttime sleep will be assessed using a wearable, FDA-cleared sleep device (SleepImage); 24-hour interstitial glucose levels will be tracked via a continuous glucose monitor (CGM); and physical activity will be recorded using a wrist-worn activity tracker (Fitbit). During this monitoring period, participants will also log their dietary intake and mood through smartphone-based assessments. After the 14-day monitoring period, participants will return for a concluding on-site session.

During the on-site sessions or the 14-day monitoring period, biological samples will be collected to assess metabolic, hormonal, inflammatory, and neurodegenerative biomarkers. Blood samples will be analyzed for markers such as sex hormones, HbA1c, C-reactive protein (CRP), leptin, ghrelin, adiponectin, and brain health indicators including brain-derived tau and neurofilament light chain (NfL), in addition to broader proteomic and metabolomic profiles. Stool samples will also be collected for further analyses. In addition to providing biological samples, all participants-provided they meet inclusion criteria and give informed consent-will undergo structural brain imaging using magnetic resonance imaging (MRI). Cognitive assessments will include verbal fluency tasks and validated psychological instruments to evaluate mood and cognitive function.

The entire protocol will be repeated after one year, allowing for the assessment of longitudinal changes in sleep patterns, metabolic health, and brain function over time.

The primary aim of the NNF study is to investigate both cross-sectional and longitudinal associations between sleep patterns-measured over two consecutive weeks at baseline and again one year later-and indicators of glycemic control and brain health in a cohort of middle-aged adults. Secondary aims include, for example, exploring how sleep patterns relate to variability in protein and metabolite abundances in blood, among other metabolic, cognitive, and biological outcomes detailed below.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
40 Years 至 65 Years(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Correlation between objective sleep health status and 24-hour glycemic variability

时间窗: 4 years

An assessment will be made to determine whether poorer sleep health-measured using wearable-derived metrics such as sleep duration, sleep efficiency, sleep regularity, and the apnea-hypopnea index-is associated with a greater proportion of time spent outside the recommended glucose range of 70 to 180 mg/dL and with increased glucose variability, as indicated by the coefficient of variation. Additionally, we will evaluate which specific sleep metrics, including total sleep duration, sleep efficiency, sleep onset timing, sleep regularity, and the presence of sleep-disordered breathing, show the strongest associations with glycemic outcomes.

Correlation Between Sleep Patterns and Brain Health

时间窗: 4 years

Assessment of whether poorer sleep health is associated with elevated concentrations of brain health biomarkers, including tau and neurofilament light chain (NfL), poorer performance on a verbal fluency task, and variations in total and regional gray matter volume.

次要结局

  • Correlation Between 24-Hour Glycemic Variability and Brain Health(4 years)
  • Correlation Between Sleep Patterns,Gut Microbiota Composition and Brain Health(4 years)
  • Correlation Between 24-Hour Glycemic Variability and Gut Microbiota Composition(4 years)
  • Correlation Between Sleep Patterns, Adiposity, Food Choices, and Blood Levels of Appetite-Regulating Hormones(4 years)
  • Correlation Between Meal Timing,Sleep Health, and Glycemic Control(4 years)
  • Correlation Between Sleep Health and Mood(4 years)
  • Correlation Between 24-Hour Glycemic Variability and Mood(4 years)
  • Quantification of circulating cancer-related biomarkers via Olink Flex Panel(4 years)
  • Broad proteomic profiling using Olink Reveal Panel(4 years)
  • Disease prediction by quantification of exosomes(4 years)
  • Physical Activity Measured by Fitbit and Its Associations with Glycemic Control and Brain Health(4 years)
  • Association Between Screen Time Patterns and Health Outcomes: Investigating Links with Glycemic Control, Brain Health, and Sleep Patterns(4 years)
  • 15. Association Between Subjective Sleep Health and 24-Hour Glycemic Variability and Brain Health(4 years)

研究者

发起方
Uppsala University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Christian Benedict

Associate Professor

Uppsala University

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