Aging; Without Mention of Psychosis Clinical Trial
Official title:
Genetic and Physiological Aspects of Oxidative Profile in Sleep and Well-succeed Aging
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.
| Status | Completed |
| Enrollment | 38 |
| Est. completion date | February 2013 |
| Est. primary completion date | June 2011 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | Male |
| Age group | 20 Years and older |
| Eligibility |
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 |
Observational Model: Case Control, Time Perspective: Cross-Sectional
| Country | Name | City | State |
|---|---|---|---|
| Brazil | Associação Fundo de Incentivo à Pesquisa | São Paulo |
| Lead Sponsor | Collaborator |
|---|---|
| Associação Fundo de Incentivo à Pesquisa |
Brazil,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Polysomnography parameters | 1 night | No | |
| Primary | Gene expression data | 1 day | No |