Biological aging of different blood cell types
Saara Marttila1,2,3, Sonja Rajić4, Joanna Ciantar4
1Molecular Epidemiology (MOLE), Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. saara.marttila@tuni.fi.
Geroscience
|July 26, 2024
Summary
Biological age (BA) indicators like epigenetic clocks and telomere length (TL) vary significantly across blood cell types. Understanding these cell-specific differences is crucial for accurate aging assessments and interventions.
Area of Science:
- Gerontology
- Epigenetics
- Molecular Biology
Background:
- Biological age (BA) reflects age-related decline, with DNA methylation clocks and telomere length (TL) being key indicators.
- Whole blood, a common sample for aging studies, comprises diverse cell types, potentially influencing BA measurements.
- Previous research has not fully elucidated cell type-specific variations in BA indicators.
Purpose of the Study:
- To compare biological ages (BAs) across 12 distinct blood cell types.
- To assess cell type-specific associations between BA indicators and chronological age (CA).
- To investigate the impact of cell composition on BA measurements in aging research.
Main Methods:
- Analysis of DNA methylation-based BA indicators, including TL, cg16867657, Hannum, Horvath, DNAmPhenoAge, and DunedinPACE clocks.
- Utilized 428 biological samples from 12 different blood cell types.
- Compared BA values between cell types and whole blood, and assessed correlations with chronological age within each cell type.
Main Results:
- Significant differences in BA were observed between most blood cell types and whole blood (p < 0.05).
- DNAmPhenoAge exhibited the largest cell type differences (up to 44.5 years), while DNA methylation-based TL showed the smallest.
- T cells generally displayed younger BA, monocytes older BA, and most BA indicators correlated strongly with CA within cell types, except DunedinPACE.
Conclusions:
- DNA methylation-based BA indicators demonstrate distinct cell type-specific characteristics.
- Cellular composition significantly impacts BA measurements, necessitating consideration in aging studies and intervention assessments.
- Findings provide insights into epigenetic clock mechanisms and highlight the importance of accounting for cell types in aging research.
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