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

This study has been completed.
Sponsor:
ClinicalTrials.gov Identifier:
NCT01480037
First Posted: November 28, 2011
Last Update Posted: January 14, 2015
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Information provided by (Responsible Party):
Diego Robles Mazzotti, Associação Fundo de Incentivo à Pesquisa
  Purpose
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.

Condition
Aging; Without Mention of Psychosis

Study Type: Observational
Study Design: Observational Model: Case Control
Time Perspective: Cross-Sectional
Official Title: Genetic and Physiological Aspects of Oxidative Profile in Sleep and Well-succeed Aging

Further study details as provided by Diego Robles Mazzotti, Associação Fundo de Incentivo à Pesquisa:

Primary Outcome Measures:
  • Polysomnography parameters [ Time Frame: 1 night ]
  • Gene expression data [ Time Frame: 1 day ]

Biospecimen Retention:   Samples With DNA
Blood samples collected for DNA and RNA extraction, as well as for laboratory examinations

Enrollment: 38
Study Start Date: March 2010
Study Completion Date: February 2013
Primary Completion Date: June 2011 (Final data collection date for primary outcome measure)
Groups/Cohorts
Elderly
Individuals between 60 and 70 years-old
Long-lived
Individuals above 85 years-old
Young
Individuals between 20 and 30 years-old

Detailed Description:
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.
  Eligibility

Information from the National Library of Medicine

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Ages Eligible for Study:   20 Years and older   (Adult, Senior)
Sexes Eligible for Study:   Male
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Residents of São Paulo city, Brazil
Criteria

Inclusion Criteria:

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

Exclusion Criteria:

  • Uncontrolled chronic disease (cancer, cardiopathy, type 2 diabetes)
  • neurological and/or psychiatric antecedents
  Contacts and Locations
Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01480037


Locations
Brazil
Associação Fundo de Incentivo à Pesquisa
São Paulo, Brazil, 04024002
Sponsors and Collaborators
Associação Fundo de Incentivo à Pesquisa
Investigators
Study Director: Sergio Tufik, MD PhD Associação Fundo de Incentivo à Pesquisa
  More Information

Responsible Party: Diego Robles Mazzotti, Associação Fundo de Incentivo à Pesquisa
ClinicalTrials.gov Identifier: NCT01480037     History of Changes
Other Study ID Numbers: LONG-2011
First Submitted: November 23, 2011
First Posted: November 28, 2011
Last Update Posted: January 14, 2015
Last Verified: January 2015