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Updated: May 9, 2025

Determining Genome-wide Transcript Decay Rates in Proliferating and Quiescent Human Fibroblasts
Published on: January 2, 2018
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.
Abstract:
Aging is a universal biological process that impacts all tissues, leading to functional decline and increased susceptibility to age-related diseases, particularly cardiometabolic disorders. While aging is characterized by hallmarks such as mitochondrial dysfunction, chronic inflammation, and dysregulated metabolism, the molecular mechanisms driving these processes remain incompletely understood, particularly in a tissue-specific context. To address this gap, we conducted a comprehensive transcriptomic analysis across 40 human tissues using data from the Genotype-Tissue Expression (GTEx) project, comparing individuals younger than 40 years with those older than 65 years. We identified over 17,000 differentially expressed genes (DEGs) across tissues, with distinct patterns of up- and down-regulation. Enrichment analyses revealed that up-regulated DEGs were associated with inflammation, immune responses, and apoptosis, while down-regulated DEGs were linked to mitochondrial function, oxidative phosphorylation, and metabolic processes. Using gene co-expression network (GCN) analyses, we identified 1,099 genes as dysregulated nodes (DNs) shared across tissues, reflecting global aging-associated transcriptional shifts. Integrating machine learning approaches, we pinpointed key aging biomarkers, including GDF15 and EDA2R, which demonstrated strong predictive power for aging and were particularly relevant in cardiometabolic tissues such as the heart, liver, skeletal muscle, and adipose tissue. These genes were also validated in plasma proteomics studies and exhibited significant correlations with clinical cardiometabolic health indicators. This study provides a multi-tissue, integrative perspective on aging, uncovering both systemic and tissue-specific molecular signatures. Our findings advance understanding of the molecular underpinnings of aging and identify novel biomarkers that may serve as therapeutic targets for promoting healthy aging and mitigating age-related diseases.
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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