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Biomarkers selection and mathematical modeling in biological age estimation
Solim Essomandan Clémence Bafei1, Chong Shen2
1Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Npj Aging
|July 1, 2023
Summary
Biological age (BA) estimation is crucial for health monitoring. This study reviews aging biomarkers and methods, highlighting genetic variations and discussing limitations for accurate BA assessment.
Area of Science:
- Gerontology
- Biomarkers
- Genetics
Background:
- Biological age (BA) is vital for clinical monitoring and preventing age-related diseases.
- Current methods use clinical/cellular biomarkers integrated into mathematical models to estimate BA.
- A universally validated biomarker or technique for accurate BA determination is lacking.
Purpose of the Study:
- To provide a comprehensive overview of aging biomarkers.
- To highlight the potential of genetic variations as indicators of biological aging.
- To review and discuss the performance, advantages, and limitations of BA estimation methods.
Main Methods:
- Literature review of aging biomarkers.
- Exploration of genetic variations as aging proxies.
- Analysis of various biological age estimation techniques.
Main Results:
- Overview of diverse aging biomarkers and their applications.
- Identification of genetic variations as potential indicators of aging.
- Discussion of the strengths and weaknesses of current BA estimation models.
Conclusions:
- Accurate biological age assessment requires further validation of biomarkers and methods.
- Genetic variations offer a promising avenue for improving BA estimation.
- Addressing current limitations is key to advancing the field of aging research.
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