Abstract

Age-associated DNA methylation in blood cells convey information on health status. However, the mechanisms that drive these changes in circulating cells and their relationships to gene regulation are unknown. We identified age-associated DNA methylation sites in six purified blood borne immune cell types (naïve B, naïve CD4+ and CD8+ T cells, granulocytes, monocytes and NK cells) collected from healthy individuals interspersed over a wide age range. Of the thousands of age-associated sites, only 350 sites were differentially methylated in the same direction in all cell types and validated in an independent longitudinal cohort. Genes close to age-associated hypomethylated sites were enriched for collagen biosynthesis and complement cascade pathways, while genes close to hypermethylated sites mapped to neuronal pathways. In-silico analyses showed that in most cell types, the age-associated hypo- and hypermethylated sites were enriched for ARNT (HIF1β) and REST transcription factor motifs respectively, which are both master regulators of hypoxia response. To conclude, despite spatial heterogeneity, there is a commonality in the putative regulatory role with respect to transcription factor motifs and histone modifications at and around these sites. These features suggest that DNA methylation changes in healthy aging may be adaptive responses to fluctuations of oxygen availability.

Data availability

DNA methylation EPIC 850k data are available at GEO under accession number GSE184269

The following previously published data sets were used

Article and author information

Author details

  1. Roshni Roy

    Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Pei-Lun Kuo

    Translational Gerontology Branch, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Julián Candia

    Translational Gerontology Branch, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5793-8989
  4. Dimitra Sarantapoulou

    Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Ceereena Ubaida-Mohien

    Translational Gerontology Branch, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4301-4758
  6. Dena Hernandez

    Laboratory of Neurogenetics, National Institute on Aging, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Mary Kaileh

    Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2314-312X
  8. Sampath Arepalli

    Laboratory of Neurogenetics, National Institute on Aging, Bethesda, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Amit Singh

    Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Arsun Bektas

    Translational Gerontology Branch, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Jaekwan Kim

    Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  12. Ann Z Moore

    Translational Gerontology Branch, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  13. Toshiko Tanaka

    Translational Gerontology Branch, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4161-3829
  14. Julia McKelvey

    Clinical Research Core, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  15. Linda Zukley

    Clinical Research Core, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  16. Cuong Nguyen

    Flow Cytometry Unit, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  17. Tonya Wallace

    Flow Cytometry Unit, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  18. Christopher Dunn

    Flow Cytometry Core, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7899-0110
  19. William Wood

    Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  20. Yulan Piao

    Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  21. Christopher Coletta

    Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  22. Supriyo De

    Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  23. Jyoti Sen

    Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  24. Nan-ping Weng

    Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  25. Ranjan Sen

    Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, United States
    Competing interests
    The authors declare that no competing interests exist.
  26. Luigi Ferrucci

    Translational Gerentology Branch, National Institute on Aging, Baltimore, United States
    For correspondence
    ferruccilu@grc.nia.nih.gov
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6273-1613

Funding

No external funding was received for this work.

Ethics

Human subjects: GESTALT study was approved by the institutional review board of the National Institutes of Health. Informed consent as well as the consent to publish the data collected was obtained from every participant in the study. Since the study of gene expression and epigenetic regulation are essential aims of GESTALT, all participants were required to consent to DNA/RNA testing and storage at all visits in order to participate in the study. the GESTALT IRB approval number is 15-AG-0063.

Copyright

This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Metrics

  • 1,414
    views
  • 201
    downloads
  • 5
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Roshni Roy
  2. Pei-Lun Kuo
  3. Julián Candia
  4. Dimitra Sarantapoulou
  5. Ceereena Ubaida-Mohien
  6. Dena Hernandez
  7. Mary Kaileh
  8. Sampath Arepalli
  9. Amit Singh
  10. Arsun Bektas
  11. Jaekwan Kim
  12. Ann Z Moore
  13. Toshiko Tanaka
  14. Julia McKelvey
  15. Linda Zukley
  16. Cuong Nguyen
  17. Tonya Wallace
  18. Christopher Dunn
  19. William Wood
  20. Yulan Piao
  21. Christopher Coletta
  22. Supriyo De
  23. Jyoti Sen
  24. Nan-ping Weng
  25. Ranjan Sen
  26. Luigi Ferrucci
(2023)
Epigenetic signature of human immune aging in the GESTALT study
eLife 12:e86136.
https://doi.org/10.7554/eLife.86136

Share this article

https://doi.org/10.7554/eLife.86136

Further reading

    1. Genetics and Genomics
    2. Neuroscience
    Monique Marylin Alves de Almeida, Yves De Repentigny ... Rashmi Kothary
    Research Article

    Spinal muscular atrophy (SMA) is caused by mutations in the Survival Motor Neuron 1 (SMN1) gene. While traditionally viewed as a motor neuron disorder, there is involvement of various peripheral organs in SMA. Notably, fatty liver has been observed in SMA mouse models and SMA patients. Nevertheless, it remains unclear whether intrinsic depletion of SMN protein in the liver contributes to pathology in the peripheral or central nervous systems. To address this, we developed a mouse model with a liver-specific depletion of SMN by utilizing an Alb-Cre transgene together with one Smn2B allele and one Smn1 exon 7 allele flanked by loxP sites. Initially, we evaluated phenotypic changes in these mice at postnatal day 19 (P19), when the severe model of SMA, the Smn2B/- mice, exhibit many symptoms of the disease. The liver-specific SMN depletion does not induce motor neuron death, neuromuscular pathology or muscle atrophy, characteristics typically observed in the Smn2B/- mouse at P19. However, mild liver steatosis was observed, although no changes in liver function were detected. Notably, pancreatic alterations resembled that of Smn2B/-mice, with a decrease in insulin-producing β-cells and an increase in glucagon-producingα-cells, accompanied by a reduction in blood glucose and an increase in plasma glucagon and glucagon-like peptide (GLP-1). These changes were transient, as mice at P60 exhibited recovery of liver and pancreatic function. While the mosaic pattern of the Cre-mediated excision precludes definitive conclusions regarding the contribution of liver-specific SMN depletion to overall tissue pathology, our findings highlight an intricate connection between liver function and pancreatic abnormalities in SMA.

    1. Computational and Systems Biology
    2. Genetics and Genomics
    Jia-Ying Su, Yun-Lin Wang ... Chien-Ling Lin
    Research Article

    Untranslated regions (UTRs) contain crucial regulatory elements for RNA stability, translation and localization, so their integrity is indispensable for gene expression. Approximately 3.7% of genetic variants associated with diseases occur in UTRs, yet a comprehensive understanding of UTR variant functions remains limited due to inefficient experimental and computational assessment methods. To systematically evaluate the effects of UTR variants on RNA stability, we established a massively parallel reporter assay on 6555 UTR variants reported in human disease databases. We examined the RNA degradation patterns mediated by the UTR library in two cell lines, and then applied LASSO regression to model the influential regulators of RNA stability. We found that UA dinucleotides and UA-rich motifs are the most prominent destabilizing element. Gain of UA dinucleotide outlined mutant UTRs with reduced stability. Studies on endogenous transcripts indicate that high UA-dinucleotide ratios in UTRs promote RNA degradation. Conversely, elevated GC content and protein binding on UA dinucleotides protect high-UA RNA from degradation. Further analysis reveals polarized roles of UA-dinucleotide-binding proteins in RNA protection and degradation. Furthermore, the UA-dinucleotide ratio of both UTRs is a common characteristic of genes in innate immune response pathways, implying a coordinated stability regulation through UTRs at the transcriptomic level. We also demonstrate that stability-altering UTRs are associated with changes in biobank-based health indices, underscoring the importance of precise UTR regulation for wellness. Our study highlights the importance of RNA stability regulation through UTR primary sequences, paving the way for further exploration of their implications in gene networks and precision medicine.