Evidence map›Paper›PMID 38146185›Full record

ArticleAging cell2024

Deciphering the role of immune cell composition in epigenetic age acceleration: Insights from cell-type deconvolution applied to human blood epigenetic clocks.

Ze Zhang, Samuel R Reynolds, Hannah G Stolrow, Ji-Qing Chen, Brock C Christensen, Lucas A Salas

Abstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Extracellular vesicles and epigenetic aging clocks in tissue aging: an exosome-focused conceptual framework with a focus on skin.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ze ZhangDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.ORCID 0000-0001-9854-5823
Samuel R ReynoldsDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Hannah G StolrowDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Ji-Qing ChenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.ORCID 0000-0002-1598-8811
Brock C ChristensenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.ORCID 0000-0003-3022-426X
Lucas A SalasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.ORCID 0000-0002-2279-4097

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Zhao - Proj 2P20GM130454 · NIGMS · DARTMOUTH COLLEGE · PI MICHAEL L WHITFIELD · 2019 to 2026
$27.2M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI SALAS DIAZ, LUCAS A · 2013 to 2022
$23.7M
DNA-based Immune Phenotyping in HNSCC for Biomarkers of Response to ImmunotherapyR01CA253976 · NCI · BROWN UNIVERSITY · PI CHRISTENSEN, BROCK C, KELSEY, KARL TIMOTHY · 2021 to 2025
$3.3M
(PQ3) Immune epigenetic biomarkers of bladder cancer outcomesR01CA216265 · NCI · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2017 to 2021
$2.9M
NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA216265NCI NIH HHS R01 CA253976NIGMS NIH HHS P20 GM104416NIGMS NIH HHS P20GM104416/8299NIGMS NIH HHS P20 GM130454NIGMS NIH HHS P20GM130454
6 · The paper itself

Abstract

Aging is a significant risk factor for various human disorders, and DNA methylation clocks have emerged as powerful tools for estimating biological age and predicting health-related outcomes. Methylation data from blood DNA has been a focus of more recently developed DNA methylation clocks. However, the impact of immune cell composition on epigenetic age acceleration (EAA) remains unclear as only some clocks incorporate partial cell type composition information when analyzing EAA. We investigated associations of 12 immune cell types measured by cell-type deconvolution with EAA predicted by six widely-used DNA methylation clocks in data from >10,000 blood samples. We observed significant associations of immune cell composition with EAA for all six clocks tested. Across the clocks, nine or more of the 12 cell types tested exhibited significant associations with EAA. Higher memory lymphocyte subtype proportions were associated with increased EAA, and naïve lymphocyte subtypes were associated with decreased EAA. To demonstrate the potential confounding of EAA by immune cell composition, we applied EAA in rheumatoid arthritis. Our research maps immune cell type contributions to EAA in human blood and offers opportunities to adjust for immune cell composition in EAA studies to a significantly more granular level. Understanding associations of EAA with immune profiles has implications for the interpretation of epigenetic age and its relevance in aging and disease research. Our detailed map of immune cell type contributions serves as a resource for studies utilizing epigenetic clocks across diverse research fields, including aging-related diseases, precision medicine, and therapeutic interventions.

Indexed as

AccelerationArthritis, RheumatoidAgingDNA MethylationEpigenesis, GeneticHumansbiological agingcell deconvolutionDNA methylationepigenetic agingepigenetic clockepigeneticsimmune cell

Identifiers

PMID38146185
PMCPMC10928575

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.