Objective:
To investigate the association between plasma proteomic signatures of cellular aging and future disease, including specific conditions like Alzheimer's disease and mortality.
Approach:
- Accelerated aging signatures were linked to disease status and incident disease.
- Astrocyte aging was the strongest predictor of incident Alzheimer's disease, with extreme aging correlating to a 12.6-fold higher likelihood of developing AD.
- Extreme skeletal myocyte aging was associated with a 12.7-fold higher likelihood of developing amyotrophic lateral sclerosis (ALS).
- Cell-specific aging signatures were associated with future cancer and chronic diseases, including lung cancer and type 2 diabetes.
- Patients with extreme aging across more than 20 cell types had approximately 34% survival over 15 years compared to about 90% for those without extreme aging.
- Cellular age estimates were inferred from plasma protein profiles rather than direct tissue measurements.
- Cell-type assignments may not fully reflect the complexity of protein production and release.
- The observational nature of the study limits causal inferences.
- Cohorts were predominantly older and White, limiting generalizability.
- Further research is needed to validate findings in more diverse populations.
Key Findings:
Interpretation:
Plasma proteomics may provide a noninvasive method for assessing cell type-specific biological aging, potentially aiding in the identification of patients at elevated risk for age-related diseases.
Limitations:
Conclusion:
The findings establish a framework for quantifying human physiology at cellular resolution, revealing heterogeneous aging trajectories and their impact on disease susceptibility.
Sources:
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
