Measuring Protein Turnover in Humans Across the Lifespan by Metabolic Labeling With Deuterium Oxide : Measuring Protein Turnover in Humans Across the Lifespan by Metabolic Labeling With Deuterium Oxide
Study Description:A sophisticated biological system of quality control ensures that proteins are maintained in all cells in the right absolute and relative quantities and their architectural characteristics are preserved so that they can perform their biological function. There is evidence from animal models that the half-life of a subset of proteins is longer with aging so that aggregated proteins are retained for longer time than in younger individuals, leading to reduced cellular function. On the other hand, other proteins such as mitochondrial proteins are damaged at a higher rate and are expected to turnover faster to maintain function. This study is aimed at evaluating the half-life of a range of proteins in muscle, peripheral blood mononucleated cells (PBMCs), and skin in participants of different ages and tests the hypothesis that for specific proteins, older persons have different protein turnover than younger persons and that the effect of aging on proteins half-life is also dependent on the specific tissue considered.Objectives:Primary Objective: To measure the turnover proteins in humans across tissues, age, and sex.Secondary Objective: To test the hypothesis that older age is associated with diminished protein turnover.Endpoints:Primary Endpoint: The primary endpoint of this study is to characterize the turnover of different proteins in human tissues, including skeletal muscle, subcutaneous fat, skin and PMBCs.Secondary Endpoint: The secondary endpoint of this study is to assess whether the turnover of proteins in different tissues is significantly associated with aging. In exploratory analyses we will also test the hypothesis that independent of age, the turnover of certain proteins is systematically different between different tissues..
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Klinische Studie| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
ClinicalTrials.gov - (2024) vom: 02. Apr. Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
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| Anmerkungen: |
Source: Link to the current ClinicalTrials.gov record., First posted: February 21, 2024, Last downloaded: ClinicalTrials.gov processed this data on April 03, 2024, Last updated: April 03, 2024 |
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| Study ID: |
NCT06269653 |
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| Veröffentlichungen zur Studie: |
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| PPN (Katalog-ID): |
CTG000022071 |
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| 520 | |a Study Description:A sophisticated biological system of quality control ensures that proteins are maintained in all cells in the right absolute and relative quantities and their architectural characteristics are preserved so that they can perform their biological function. There is evidence from animal models that the half-life of a subset of proteins is longer with aging so that aggregated proteins are retained for longer time than in younger individuals, leading to reduced cellular function. On the other hand, other proteins such as mitochondrial proteins are damaged at a higher rate and are expected to turnover faster to maintain function. This study is aimed at evaluating the half-life of a range of proteins in muscle, peripheral blood mononucleated cells (PBMCs), and skin in participants of different ages and tests the hypothesis that for specific proteins, older persons have different protein turnover than younger persons and that the effect of aging on proteins half-life is also dependent on the specific tissue considered.Objectives:Primary Objective: To measure the turnover proteins in humans across tissues, age, and sex.Secondary Objective: To test the hypothesis that older age is associated with diminished protein turnover.Endpoints:Primary Endpoint: The primary endpoint of this study is to characterize the turnover of different proteins in human tissues, including skeletal muscle, subcutaneous fat, skin and PMBCs.Secondary Endpoint: The secondary endpoint of this study is to assess whether the turnover of proteins in different tissues is significantly associated with aging. In exploratory analyses we will also test the hypothesis that independent of age, the turnover of certain proteins is systematically different between different tissues. | ||
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