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Patterns of Natural Aging and the Role of Senescence Registry

NCT05123859 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2022-08-17

No results posted yet for this study

Summary

This is a registry to identify changes in the expression of aging-related biomarkers, changes in functional performance, and/or changes in quality-of-life across the aging spectrum in 250 participants ≥ 25 years of age that will be conducted by the University of North Carolina. The primary purpose of this registry is to measure biomarkers of aging/senescence and build computational models of aging in order to better understand the role of senescence in aging-related functional decline and differences between aging in a general population vs cohorts enriched for aging related disease (cancer, heart disease). Aging biomarker data in cohorts with cancer and heart disease has already been collected; the current study will enroll participants into the cohort of aging in the general population (Aging Cohort).

Over the past century, life expectancy has increased by 30 years. With that gain has come a dramatic rise in age-related disease and an urgent need to understand, prevent, and treat these conditions. While age-related diseases have diverse phenotypes, there is increasing recognition of common biological underpinnings with cellular senescence as the nexus linking subcellular changes due to epigenetic changes, DNA damage, and mitochondria dysfunction with a decline in health due to multi-morbidity. The molecular changes that shift one's aging trajectory from a 'healthy' state to a 'disease' state are poorly understood; however, there is increasing evidence that senescence plays a key role in this shift. Computational models of natural aging and aging related disease are important tools in understanding the phenomenon of senescence, its regulation and dynamics, and its role in physiological or pathological processes during human aging. These findings will serve as pilot data for future analysis of cellular senescence, as measured by p16INK4 (hereafter referred to as p16) expression, and aging in other cohorts and begin to establish comparisons between p16 and other potentially clinically relevant aging biomarkers such as DNA methylation and plasma proteomics.

Conditions

  • Healthy Aging

Sponsors & Collaborators

  • Georgia Institute of Technology

    collaborator OTHER

  • Sapere Bio

    collaborator INDUSTRY

  • University of North Carolina, Chapel Hill

    lead OTHER

Principal Investigators

  • Hyman Muss, MD · University of North Carolina, Chapel Hill

Eligibility

Min Age
25 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-01-05
Primary Completion
2022-08-14
Completion
2022-08-14

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05123859 on ClinicalTrials.gov