Evidence map›Paper›PMID 32798509›Full record

ReviewMechanisms of ageing and development2020

Proliferation: Driver of HSC aging phenotypes?

Hagai Yanai, Isabel Beerman

Abstract readReview
In one paragraph

Review in Mechanisms of ageing and development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Hematopoietic Stem Cells and the Immune System in Development and Aging.International journal of molecular sciences · 2023
    Review
  4. Article
  5. 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

2 authors.

Hagai YanaiEpigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA. Electronic address: hagai.yanai@nih.gov.
Isabel BeermanEpigenetics and Stem Cell Unit, Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.

Funding

Characterization of hematopoietic stem cell (HSC) and progenitor cell aging, identification of candidate age-regulated genes as targets for therapeutic interventionZIAAG000992 · NIA · NATIONAL INSTITUTE ON AGING · PI BEERMAN, ISABEL · 2017 to 2025
$1.7M
Defining epigenetic dysregulation in aged hematopoietic stem cellsZIAAG000987 · NIA · NATIONAL INSTITUTE ON AGING · PI BEERMAN, ISABEL · 2017 to 2022
$1.5M
Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

The decline of stem cell performance with age is a potential paramount mechanism of aging. Hematopoietic stem cells (HSCs) are perhaps the most studied and best characterized tissue-specific somatic stem cells. As such, HSCs offer an excellent research model of how aging affects stem cell performance, and vice versa. Studies from recent years have elucidated major aging phenotypes of HSCs including a decline in reconstitution potential, altered differentiation predisposition, an increase in number, accumulation of DNA damage/mutations and several others. However, what drives these changes, and exactly how they translate to pathology is poorly understood. Recent studies point to proliferative stress of HSCs as a potential driver of their aging and the resulting pathologies. Here we discuss the recent discoveries and suggest the context in which aging phenotypes could be driven, and the relevant mechanisms by which HSCs could be affected.

Indexed as

Cell DifferentiationCell ProliferationCellular SenescenceDNA DamageAnimalsHematopoietic Stem CellsHumansAgingclonal expansionHematopoietic stem cellHSCproliferation

Identifiers

PMID32798509
PMCPMC7541746

What OpenQuestion holds

Textmetadata
LicenceTDM
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.