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About
Background:
- Biomarkers are substances in people s blood and tissues. They help researchers understand diseases and signs of aging. Scientists want to do more research on biomarkers to find ways to improve quality of life in old age.
Objective:
- To learn more about biomarkers and their relationship to aging.
Eligibility:
- Adults at least 20 years old who weigh at least 110 pounds and have a body mass index below 30. They must agree that their genetic samples can be collected, studied, and stored.
Design:
Full description
Under the assumption that aging is caused by dysfunction of specific biological mechanisms, it is reasonable to hypothesize that slowing aging should delay the onset of chronic diseases that typically affect older persons and improve their longevity and quality of life. Indeed, there is emerging evidence that factors associated with premature mortality are also involved in multiple pathologic conditions typical of aging. There is evidence that the study of aging and longevity requires a more comprehensive analysis of biological, environmental and phenotypic changes that occur with aging and how they are reflected by circulating and tissue biomarkers. A major limitation in this approach to date is that most studies of biomarkers rely on blood specimens, which may not recapitulate the biology of other tissues. In addition, although all cell types from the same person have exactly the same genetic code; information on epigenetic modifications, RNAm, and protein expression likely differ across cell types and at different points in time. Thus, global measures of these biomarkers in specific cell types can be affected by percentages of these cell types in the blood, and it is well known that such percentages change with aging and chronic diseases. More recently single cell biomarker assessment overcome such limitation and will be introduced in GESTALT in parallel with the measures already obtained.
In GESTALT, we will use cytapheresis to collect large number of PBMCs in the H group and we will draw blood to collect PBMCs in the NHF and F individuals dispersed over a wide age- range. The collection of large number of PBMCs is essential to obtain enough cells for each cell type to support measurements of the biomarkers of interest.
The information collected will be used to identify biomarkers that change with aging in healthy, non-healthy-or-frail and frail individuals, independent of changes in specific PBMCs cell types. We will also develop a statistical model that can be used by other studies of biomarkers to adjust their analysis for PBMCs cell type composition without having to perform complex and expensive measures, such as flow cytometry. The data collected in PBMCs will be compared to similar biomarker data obtained from muscle/fat and skin biopsies to understand to what extent biomarkers measured in the blood recapitulate similar changes that occur in different human tissues. Finally, once methodological limitations of measuring biomarkers in the blood have been addressed, we plan to assess the relationship of biomarkers assessed in specific circulating cell types, in the whole blood, bone marrow aspirate and in muscle/fat and skin biopsies to physiological measures that typically change with aging, including measures of body composition (anthropometrics, CT scan and MRI), energetics (spirometry at rest and during different degrees of exercise intensity), homeostatic equilibrium (hormones and inflammatory markers), neurological function (neurocognitive testing, brain MRI, nerve conduction studies). At even visits, we will focus on in depth characterization of phenotypes that are relevant for aging. Additionally, a modified schedule of testing will occur starting at Year 8. Year 8 Visit 4.5, which is between visits 4 and 5 and Year 18 Visit 8.5, which is between visits 8 and 9 and every 10 years thereafter. This strategy reduces the burden to participants but still allows delineating trajectories of essential variables and relate them longitudinally. The final goal is to develop new hypotheses about the biological nature of the aging process and how aging is associated with decline of physical and cognitive function.
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Inclusion and exclusion criteria
The criteria below for each group pertains only to the Screening and Baseline Visits, except where otherwise noted. If any of the conditions develop while the participant is in the study, the participant remains in the study. However, participants that develop severe cognitive problems and are diagnosed by the cognition group with dementia, will no longer be able to participate in the study.
INCLUSION CRITERIA for the Healthy Group:
INCLUSION CRITERIA for the Non-Healthy-or-Frail and Frail groups:
Participant Exclusion Criteria:
These criteria pertain to the Screening and Baseline Visits. If conditions considered as exclusion criteria for study entry develop any time after the Baseline evaluation, the participant remains in the study.
Exclusion Criteria:
Furthermore, if the participant is found eligible at Screening and Baseline but fails a urine drug screen (unless taking a prescribed medication and at the discretion of the PI) at any of the subsequent visits, the participant will be asked to return to repeat the test and if positive, will no longer be eligible to participate in the study.
900 participants in 3 patient groups
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Central trial contact
Luigi Ferrucci, M.D.; Linda M Zukley, Ph.D.
Data sourced from clinicaltrials.gov
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