Evidence map›Paper›PMID 30712319›Full record

ArticleAging cell2019

Epigenetic age is a cell-intrinsic property in transplanted human hematopoietic cells.

Arne Søraas, Mieko Matsuyama, Marcos de Lima, David Wald, Jochen Buechner, Tobias Gedde-Dahl, Camilla Lund Søraas, Brian Chen, Luigi Ferrucci, John Arne Dahl and 2 more

Abstract read
In one paragraph

Article in Aging cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

  1. Review
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  4. Determining the relationship of p16Journal of cancer survivorship : research and practice · 2024
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  14. The landscape of aging.Science China. Life sciences · 2022
    Review
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  17. Impact of Large Granular Lymphocyte Leukemia on Blood DNA Methylation and Epigenetic Clock Modeling in Fischer 344 Rats.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  18. Review
  19. Review
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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

12 authors.

Arne SøraasDepartment of Microbiology, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-1622-591X
Mieko MatsuyamaDivision of Hematology/Oncology, Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
Marcos de LimaDivision of Hematology/Oncology, Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
David WaldDepartment of Pathology, Case Western Reserve University, Cleveland, Ohio.
Jochen BuechnerDepartment of Pediatric Hematology and Oncology, Oslo University Hospital, Oslo, Norway.
Tobias Gedde-DahlDepartment of Hematology, Oslo University Hospital, Oslo, Norway.
Camilla Lund SøraasDepartment of Cardiology, Oslo University Hospital, Oslo, Norway.
Brian ChenNational Institute of Aging (NIA), National Institute of Health, Bethesda, Maryland.
Luigi FerrucciNational Institute of Aging (NIA), National Institute of Health, Bethesda, Maryland.
John Arne DahlDepartment of Microbiology, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-4375-2697
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Shigemi MatsuyamaDivision of Hematology/Oncology, Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, Ohio.

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARK R CHANCE · 1987 to 2026
$142.3M
Validation and optimization of epigenetic clocksU01AG060908 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2018 to 2022
$3.4M
The epiGenetIcs Leads to aGe-relAted diseases (GILGA-mesh) NetworkU34AG051425 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HORVATH, STEVE · 2015 to 2017
$954k
NCI NIH HHS P30 CA043703NIA NIH HHS U01 AG060908NIA NIH HHS U34 AG051425Oslo University Hosptial, NorwayRaagholtstiftelsen, Norway
6 · The paper itself

Abstract

The age of tissues and cells can be accurately estimated by DNA methylation analysis. The multitissue DNA methylation (DNAm) age predictor combines the DNAm levels of 353 CpG dinucleotides to arrive at an age estimate referred to as DNAm age. Recent studies based on short-term observations showed that the DNAm age of reconstituted blood following allogeneic hematopoietic stem cell transplantation (HSCT) reflects the age of the donor. However, it is not known whether the DNAm age of donor blood remains independent of the recipient's age over the long term. Importantly, long-term studies including child recipients have the potential to clearly reveal whether DNAm age is cell-intrinsic or whether it is modulated by extracellular cues in vivo. Here, we address this question by analyzing blood methylation data from HSCT donor and recipient pairs who greatly differed in chronological age (age differences between 1 and 49 years). We found that the DNAm age of the reconstituted blood was not influenced by the recipient's age, even 17 years after HSCT, in individuals without relapse of their hematologic disorder. However, the DNAm age of recipients with relapse of leukemia was unstable. These data are consistent with our previous findings concerning the abnormal DNAm age of cancer cells, and it can potentially be exploited to monitor the health of HSCT recipients. Our data demonstrate that transplanted human hematopoietic stem cells have an intrinsic DNAm age that is unaffected by the environment in a recipient of a different age.

Indexed as

Hematopoietic Stem Cell TransplantationAdolescentAdultCellular SenescenceChildChild, PreschoolDNA MethylationDNA, NeoplasmEpigenesis, GeneticHumansInfantLeukemiaMiddle AgedTransplantation, HomologousYoung AdultDNA, NeoplasmagingDNA methylationepigenetic clockglanulocyte-colony stimulating- factor (G-CSF)hematopietic stem cell transfer (HSCT)

Identifiers

PMID30712319
PMCPMC6413751

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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.