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Proteomics and Epidemiological Models of Human Aging
Ceereena Ubaida-Mohien1, Ruin Moaddel1, Ann Zenobia Moore1
1Biomedical Research Center, National Institute on Aging, National Institute of Health, Baltimore, MD, United States.
Frontiers in Physiology
|June 17, 2021
Summary
This review explores how proteomics and epidemiological models can identify aging factors. Understanding these molecular mechanisms aids in preventing chronic diseases and frailty.
Area of Science:
- Gerontology and Epidemiology
- Molecular Biology and Aging Research
Background:
- Human aging involves declines in physical/cognitive function and increased chronic disease risk.
- Aging is influenced by genetics, epigenetics, environment, and socioeconomic factors.
- Robust measures linking aging mechanisms to functional consequences are needed.
Purpose of the Study:
- To review the epidemiological perspective of aging mechanisms using proteomics.
- To connect molecular aging processes to observable aging phenotypes.
- To identify factors modulating human aging for prevention and treatment.
Main Methods:
- Epidemiological models applied to proteomics data.
- Analysis of molecular and biological processes changing with age.
- Integration of omics data for comprehensive aging insights.
Main Results:
- Proteomics and omics provide detailed molecular insights into aging.
- These approaches can unveil mechanisms driving chronic conditions and frailty.
- Facilitates identification of novel prevention and treatment strategies.
Conclusions:
- Epidemiological proteomics is crucial for understanding aging.
- Molecular insights can lead to better management of age-related diseases.
- This approach holds promise for enhancing healthspan and longevity.
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