Evidence map›Paper›PMID 41724681›Full record

ReviewAging cell2026

Ageing Through the Looking-Glass: The Different Flavours of Clonal Haematopoiesis.

Jasmine Singh, David J Curtis, Le Thi Phuong Thao, Erica M Wood, Zoe K McQuilten

Abstract readReview
In one paragraph

Review in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jasmine SinghSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0002-2088-9260
David J CurtisAustralian Centre for Blood Diseases, Monash University, Melbourne, Australia.
Le Thi Phuong ThaoSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Erica M WoodSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0001-7527-2340
Zoe K McQuiltenSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0001-9698-7185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal haematopoiesis (CH) is the presence of acquired mutations in blood cells and is a consequence of ageing that is linked to malignancy, cardiovascular disease and other diseases of ageing. CH is a reflection of genomic instability with ageing; however, there is evidence that CH may exacerbate features of normal ageing, including inflammageing and immunosenescence, and more directly contribute to disease causation. CH can manifest as mosaic loss of X or Y, autosomal mosaic chromosomal rearrangements, or point mutations or small insertions or deletions. Until recently, little has been known about the relationship between different forms of CH and other biomarkers of ageing, including whether they are more likely to co-exist, whether they work synergistically to promote clonal expansion, and whether they have independent impacts on risk of clinical outcomes. Defining the overlap between different forms of CH and other markers of ageing is important to understand the biological processes involved in ageing, and the mechanisms underlying the associations with diseases of ageing. Here we provide an overview of the current literature on intersections of different forms of CH, the clinical implications of these, and a perspective on how CH enhances our understanding of the biology of ageing.

Indexed as

Clonal HematopoiesisImmunosenescenceTelomere ShorteningAnimalsBiomarkersEpigenesis, GeneticGenomic InstabilityHumansBiomarkersageing biomarkersclonal haematopoiesishaematopoietic stem cellsinflammageing

Identifiers

PMID41724681
PMCPMC12928004

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Registered trials

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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.