Global and tissue-specific transcriptomic dysregulation in human aging: Pathways and predictive biomarkers

Muhammad Arif1,2,3, Andrea Lehoczki4, György Haskó5

  • 1Laboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA. muhammad.arif@gu.se.

Geroscience
|April 28, 2025
PubMed

Insights

Aging causes tissue-wide gene expression changes, impacting inflammation and metabolism. Key biomarkers like GDF15 and EDA2R predict aging, especially in heart and liver tissues, offering targets for healthy aging.

Area of Science:

  • Genomics and Molecular Biology
  • Aging Research
  • Systems Biology

Background:

  • Aging is a universal process leading to tissue dysfunction and disease susceptibility.
  • Molecular mechanisms of aging, especially tissue-specific changes, are not fully understood.
  • Hallmarks of aging include mitochondrial dysfunction, inflammation, and metabolic dysregulation.

Purpose of the Study:

  • To comprehensively analyze aging-associated transcriptomic changes across 40 human tissues.
  • To identify shared and tissue-specific molecular signatures of aging.
  • To discover novel biomarkers for aging and age-related cardiometabolic diseases.

Main Methods:

  • Transcriptomic analysis of GTEx data comparing younger (<40 years) and older (>65 years) individuals.
  • Differential gene expression analysis and enrichment analyses.
  • Gene co-expression network analysis and machine learning for biomarker identification.

Main Results:

  • Over 17,000 differentially expressed genes (DEGs) identified across tissues.
  • Up-regulated DEGs linked to inflammation and apoptosis; down-regulated DEGs to mitochondrial function and metabolism.
  • Identified 1,099 shared dysregulated nodes and key aging biomarkers (GDF15, EDA2R), particularly in cardiometabolic tissues.

Conclusions:

  • Aging involves widespread, yet distinct, tissue-specific transcriptional shifts.
  • GDF15 and EDA2R are robust aging biomarkers with relevance to cardiometabolic health.
  • Findings provide insights into aging mechanisms and potential therapeutic targets for healthy aging.

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