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临床试验/NCT01480037
NCT01480037已完成不适用

Genetic and Physiological Aspects of Oxidative Profile in Sleep and Well-succeed Aging

Associação Fundo de Incentivo à Pesquisa1 个研究点 分布在 1 个国家目标入组 38 人开始时间: 2010年3月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
38
试验地点
1
主要终点
Polysomnography parameters

研究概览

简要总结

The present study proposes the characterization of sleep patterns of healthy young adults, elderly individuals and individuals above 85 years old, using polysomnographic recordings, in order to clarify the importance of sleep in longevity. Furthermore, this study intends to analyze the oxidative stress-related gene expression in peripheral blood of the three studied groups, using the Superarray - RT2 Profiler" PCR Array System. After the identification of genes whose expression pattern among groups suggest a more specific role in longevity, the mechanisms of gene expression regulation, including DNA methylation patterns and microRNA expression, as well as the possible genomic sources of variation in these genes will be investigated. In addition, the oldest individual (105 years-old) will have his whole genome sequenced using next-generation sequencing technology, in order to identify rare variants associated with longevity. Subsequently, the effect of the polymorphisms and rare variants identified will be confirmed in an expanded sample constituted of individuals with various age-ranges. The study will provide a better characterization of molecular and physiological mechanisms involved in longevity, hoping to contribute to the development of more advanced clinical tools, capable to offer a better quality of life for the elderly.

详细描述

In the last decades, the increase in life expectancy highlights the world population aging as an irreversible process. The oxidative stress hypothesis of aging suggests that accumulation of oxidative damage during lifespan may be related to loss of cellular functions, a process normally associated with senescence. However, it has been proposed that individuals who live longer in a successful manner tend to be more adapted against aging physiological changes. Sleep is essential in maintaining health and well-being. Growing evidence suggests interrelationships between oxidative stress and sleep, while the latter is an important mechanism involved in redox balance maintenance. Therefore, the present study proposes the characterization of sleep patterns of healthy young adults, elderly individuals and individuals above 85 years old, using polysomnographic recordings, in order to clarify the importance of sleep in longevity. Furthermore, this study intends to analyze the oxidative stress-related gene expression in peripheral blood of the three studied groups, using the Superarray - RT2 Profiler" PCR Array System. After the identification of genes whose expression pattern among groups suggest a more specific role in longevity, the mechanisms of gene expression regulation, including DNA methylation patterns and microRNA expression, as well as the possible genomic sources of variation in these genes will be investigated. In addition, the oldest individual (105 years-old) will have his whole genome sequenced using next-generation sequencing technology, in order to identify rare variants associated with longevity. Subsequently, the effect of the polymorphisms and rare variants identified will be confirmed in an expanded sample constituted of individuals with various age-ranges. The study will provide a better characterization of molecular and physiological mechanisms involved in longevity, hoping to contribute to the development of more advanced clinical tools, capable to offer a better quality of life for the elderly.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Cross Sectional

入排标准

年龄范围
20 Years 至 —(Adult, Older Adult)
性别
Male
接受健康志愿者

入选标准

  • men aged between 20-30 years-old,
  • 60-70 years-old and above 90 years-old

排除标准

  • Uncontrolled chronic disease (cancer, cardiopathy, type 2 diabetes)
  • neurological and/or psychiatric antecedents

结局指标

主要结局

Polysomnography parameters

时间窗: 1 night

Gene expression data

时间窗: 1 day

次要结局

未报告次要终点

研究者

发起方
Associação Fundo de Incentivo à Pesquisa
申办方类型
Other
责任方
Principal Investigator
主要研究者

Diego Robles Mazzotti

Diego Robles Mazzotti

Associação Fundo de Incentivo à Pesquisa

研究点 (1)

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