Evidence map›Paper›PMID 32361724›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Association of Epigenetic Age and p16INK4a With Markers of T-Cell Composition in a Healthy Cohort.

Christin E Burd, Juan Peng, Bryon F Laskowski, Jennifer L Hollyfield, Suohui Zhang, Paolo Fadda, Lianbo Yu, Rebecca R Andridge, Janice K Kiecolt-Glaser

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Determining the relationship of p16Journal of cancer survivorship : research and practice · 2024
    Article
  5. Article
  6. Article
  7. Peripheral blood CD3British journal of haematology · 2022
    Article
  8. Article
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

9 authors at 3 institutions in 1 country.

Christin E BurdDepartment of Molecular Genetics, College of Arts and Sciences, The Ohio State University, Columbus.
Juan PengCenter for Biostatistics, Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus.
Bryon F LaskowskiDepartment of Psychiatry and Behavioral Health, Institute for Behavioral Medicine, College of Medicine, The Ohio State University, Columbus.
Jennifer L HollyfieldDepartment of Psychiatry and Behavioral Health, Institute for Behavioral Medicine, College of Medicine, The Ohio State University, Columbus.
Suohui ZhangDepartment of Cancer Biology and Genetics, College of Medicine, The Ohio State University, Columbus.
Paolo FaddaDepartment of Cancer Biology and Genetics, College of Medicine, The Ohio State University, Columbus.
Lianbo YuCenter for Biostatistics, Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus.
Rebecca R AndridgeDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus.
Janice K Kiecolt-GlaserDepartment of Psychiatry and Behavioral Health, Institute for Behavioral Medicine, College of Medicine, The Ohio State University, Columbus.
The Ohio State University · USInstitute for Behavioral Medicine · USFlorida State University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Marital quality and longevity: Biobehavioral pathwaysR01AG057032 · NIA · OHIO STATE UNIVERSITY · PI KIECOLT-GLASER, JANICE · 2017 to 2021
$3.2M
Impact of senescence on T-cell function and immunotherapeutic responseR01AG059711 · NIA · OHIO STATE UNIVERSITY · PI BURD, CHRISTIN E · 2018 to 2022
$2.1M
NCI NIH HHS P30 CA016058NIA NIH HHS R01 AG057032NIA NIH HHS R01 AG059711
6 · The paper itself

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.

Indexed as

Epigenesis, GeneticAdultAgedAgingBiomarkersCD28 AntigensCell DifferentiationCellular SenescenceCyclin-Dependent Kinase Inhibitor p16CytokinesCytomegalovirusFemaleGenetic MarkersHumansImmune Checkpoint ProteinsMaleBiomarkersCD28 AntigensCyclin-Dependent Kinase Inhibitor p16CytokinesGenetic MarkersImmune Checkpoint ProteinsAging biomarkerCMVHorvath clockSenescenceT cell

Identifiers

PMID32361724
PMCPMC7662168
OpenAlexW3020987531

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.