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This study integrates epigenetic and transcriptomic data to identify aging genes in blood. These multi-omic aging genes are linked to immune function and aging outcomes, offering potential for cellular rejuvenation.

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Area of Science:

  • Genomics
  • Epigenetics
  • Aging Research

Background:

  • Epigenome-wide studies reveal age-related methylation changes, but functional impacts are unclear.
  • Transcriptomic aging studies show limited cross-population replication.
  • Integrating multi-omic data is crucial for understanding aging mechanisms.

Purpose of the Study:

  • To develop an integrative approach for analyzing epigenetic and transcriptomic age-related changes.
  • To identify genomic regions with age-dependent changes in both epigenetics and transcriptomics in blood.
  • To explore the functional consequences and replicability of multi-omic aging genes.

Main Methods:

  • Leveraged high-resolution multi-omic data (epigenetic and transcriptomic).
  • Performed integrative analysis of age-related changes in blood.
  • Identified genomic regions associated with both epigenetic and transcriptomic age-dependent changes.

Main Results:

  • Identified multi-omic aging genes in blood enriched for adaptive immune functions.
  • These genes demonstrated more robust replication across diverse populations.
  • Multi-omic aging genes showed stronger associations with aging-related outcomes compared to single-omic approaches.

Conclusions:

  • Multi-omic aging genes provide a more reliable signature of aging in blood.
  • These genes are functionally linked to immune processes and aging outcomes.
  • Multi-omic aging genes may be targets for epigenetic editing to promote cellular rejuvenation.