» Articles » PMID: 32361724

Association of Epigenetic Age and P16INK4a With Markers of T-Cell Composition in a Healthy Cohort

Overview
Specialty Geriatrics
Date 2020 May 4
PMID 32361724
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

How the measurement of aging biomarkers in peripheral blood T-lymphocytes (PBTLs) is influenced by cell composition is unclear. Here, we collected peripheral blood and isolated CD3+ PBTLs from 117 healthy couples between the ages of 21 and 72. Each sample was profiled for Horvath epigenetic clock (DNAm), p16INK4a expression, cytomegalovirus (CMV) seropositivity and 74 mRNA markers of PBTL subtype, differentiation, immune checkpoints, and cytokine production. Correlations between individual aging biomarkers (DNAm or p16INK4a) and PBTL mRNAs were corrected for chronological age, sex, and couple. DNAm measurements correlated with CMV seropositivity as well as PBTL mRNAs indicative of effector function (CD8A, EOMES, TBX21, GZMB), poor proliferative capacity (KLRG1, CD57), differentiation (CD45RO, CD45RA), and immune checkpoints (PDCD1, TIGIT, LAG3, CD160, CD244). In contrast, only three PBTL mRNAs, CD28, CD244, and p14ARF, showed a significant association with p16INK4a. p16INK4a expression also showed a weaker association with immunosenescent PBTL subsets than DNAm in flow cytometry analyses. These data suggest that PBTL composition has a greater influence on DNAm than p16INK4a and link accelerated epigenetic aging to immunosenescent phenotypes.

Citing Articles

Determining the relationship of p16 and additional molecular markers of aging with clinical frailty in hematologic malignancy.

Rosko A, Elsaid M, Woyach J, Islam N, Lepola N, Urrutia J J Cancer Surviv. 2024; 18(4):1168-1178.

PMID: 38678524 PMC: 11324703. DOI: 10.1007/s11764-024-01591-6.


Mass Cytometry as a Tool for Investigating Senescence in Multiple Model Systems.

Abdul-Aziz A, Devine R, Lyberger J, Chang H, Kovacs A, Lerma J Cells. 2023; 12(16).

PMID: 37626855 PMC: 10453346. DOI: 10.3390/cells12162045.


Upregulation of p16INK4A in Peripheral White Blood Cells as a Novel Screening Marker for Colorectal Carcinoma.

Thin K, Angsuwatcharakon P, Edwards S, Mutirangura A, Puttipanyalears C Asian Pac J Cancer Prev. 2022; 23(11):3753-3761.

PMID: 36444588 PMC: 9930939. DOI: 10.31557/APJCP.2022.23.11.3753.


Peripheral blood CD3 T-cell gene expression biomarkers correlate with clinical frailty in patients with haematological malignancies.

Fell G, Rosko A, Abel G, DuMontier C, Higby K, Murillo A Br J Haematol. 2022; 199(1):100-105.

PMID: 35766906 PMC: 10462450. DOI: 10.1111/bjh.18336.


Impact of age-related T cell dynamics on the identification of biomarkers predictive of immunotherapy discontinuation: a prospective cohort study.

Galloway J, Holderbaum A, Arya N, Zhang S, Bodnar M, Norman R Aging Cancer. 2021; 1(1-4):58-70.

PMID: 34337428 PMC: 8323507. DOI: 10.1002/aac2.12012.

References
1.
Pawelec G . Hallmarks of human "immunosenescence": adaptation or dysregulation?. Immun Ageing. 2012; 9(1):15. PMC: 3416738. DOI: 10.1186/1742-4933-9-15. View

2.
Arias E . United States Life Tables, 2017. Natl Vital Stat Rep. 2020; 68(7):1-66. View

3.
Wood W, Krishnamurthy J, Mitin N, Torrice C, Parker J, Snavely A . Chemotherapy and Stem Cell Transplantation Increase p16 Expression, a Biomarker of T-cell Aging. EBioMedicine. 2016; 11:227-238. PMC: 5049997. DOI: 10.1016/j.ebiom.2016.08.029. View

4.
Hall W, Ramachandran R, Narayan S, Jani A, Vijayakumar S . An electronic application for rapidly calculating Charlson comorbidity score. BMC Cancer. 2004; 4:94. PMC: 545968. DOI: 10.1186/1471-2407-4-94. View

5.
Ziller M, Gu H, Muller F, Donaghey J, Tsai L, Kohlbacher O . Charting a dynamic DNA methylation landscape of the human genome. Nature. 2013; 500(7463):477-81. PMC: 3821869. DOI: 10.1038/nature12433. View