Evidence map›Paper›PMID 40287427›Full record

Articlenpj aging2025

Genetic determinants of proteomic aging.

Alexander Mörseburg, Yajie Zhao, Katherine A Kentistou, John R B Perry, Ken K Ong, Felix R Day

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in npj aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

6 authors.

Alexander MörseburgMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK. am2037@cam.ac.uk.ORCID http://orcid.org/0000-0003-4832-4007
Yajie ZhaoMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-2747-0219
Katherine A KentistouMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
John R B PerryMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-6483-3771
Ken K OngMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Felix R DayMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK. Felix.Day@mrc-epid.cam.ac.uk.ORCID http://orcid.org/0000-0003-3789-7651

Funding

RCUK | Medical Research Council (MRC) MC_UU_00006/2RCUK | MRC | Medical Research Foundation MC_UU_00006/2Wellcome Trust (Wellcome) 208363/Z/17/Z
6 · The paper itself

Abstract

Changes in the proteome and its dysregulation have long been known to be a hallmark of aging. We derived a proteomic aging trait using data on 1459 plasma proteins from 44,435 UK Biobank individuals measured using an antibody-based assay. This metric is strongly associated with four age-related disease outcomes, even after adjusting for chronological age. Survival analysis showed that one-year older proteomic age, relative to chronological age, increases all-cause mortality hazard by 13 percent. We performed a genome-wide association analysis of proteomic age acceleration (proteomic aging trait minus chronological age) to identify its biological determinants. Proteomic age acceleration showed modest genetic correlations with four epigenetic clocks (R

Identifiers

PMID40287427
PMCPMC12033249

What OpenQuestion holds

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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.