Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases
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View abstract on PubMed
Summary
This summary is machine-generated.This study maps long-lived proteins (LLPs) in mice, revealing tissue-specific patterns. These proteins, accumulating damage over time, may serve as biomarkers for aging and related diseases.
Area Of Science
- Biochemistry
- Proteomics
- Aging Research
Background
- Protein turnover is vital for maintaining cellular health (proteostasis).
- Long-lived proteins (LLPs) accumulate damage over time, risking functional decline.
- Understanding LLP dynamics is crucial for aging and disease research.
Purpose Of The Study
- To identify and map long-lived proteins (LLPs) across various mouse tissues and plasma.
- To investigate the relationship between LLP accumulation, DNA renewal, and age-related pathologies.
- To explore the potential of LLPs as biomarkers for aging and associated diseases.
Main Methods
- Employed in vivo stable isotope labeling in mice from birth to adulthood (day 89).
- Conducted quantitative proteomics analysis on ten tissues and plasma samples.
- Quantified deoxynucleosides to assess cellular DNA renewal rates.
Main Results
- Identified 2113 long-lived proteins (LLPs), with both widespread and tissue-specific distributions.
- Detected a significant proportion of LLPs in plasma, suggesting links to cardiovascular diseases.
- Found correlations between brain LLPs and DNA renewal rates, implicating neurodegenerative disease pathways.
- Generated comprehensive, tissue-specific maps of mouse LLPs.
Conclusions
- Tissue-specific LLP maps highlight proteins vulnerable to damage due to low renewal rates.
- Plasma-derived LLPs show promise as biomarkers for aging and age-related cardiovascular diseases.
- Brain LLPs may be associated with neurodegenerative conditions, warranting further investigation.
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