Evidence map›Paper›PMID 38196645›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Proteomic aging clock (PAC) predicts age-related outcomes in middle-aged and older adults.

Chia-Ling Kuo, Zhiduo Chen, Peiran Liu, Luke C Pilling, Janice L Atkins, Richard H Fortinsky, George A Kuchel, Breno S Diniz

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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, 9 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Chia-Ling KuoDepartment of Public Health Sciences, University of Connecticut Health Center, Farmington CT, USA.
Zhiduo ChenUConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA.
Peiran LiuThe Cato T. Laurencin Institute for Regenerative Engineering, University of Connecticut Health Center, Farmington, CT, USA.
Luke C PillingEpidemiology and Public Health Group, Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.ORCID 0000-0002-3332-8454
Janice L AtkinsEpidemiology and Public Health Group, Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.ORCID 0000-0003-4919-9068
Richard H FortinskyUConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA.
George A KuchelUConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA.
Breno S DinizDepartment of Public Health Sciences, University of Connecticut Health Center, Farmington CT, USA.
UConn Health · USUniversity of Exeter · GB

Funding

Research Education ComponentP30AG067988 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Richard H Fortinsky, GEORGE A KUCHEL · 2021 to 2026
$9.5M
NIA NIH HHS P30 AG067988
6 · The paper itself

Abstract

Beyond mere prognostication, optimal biomarkers of aging provide insights into qualitative and quantitative features of biological aging and might, therefore, offer useful information for the testing and, ultimately, clinical use of gerotherapeutics. We aimed to develop a proteomic aging clock (PAC) for all-cause mortality risk as a proxy of biological age. Data were from the UK Biobank Pharma Proteomics Project, including 53,021 participants aged between 39 and 70 years and 2,923 plasma proteins assessed using the Olink Explore 3072 assay

Indexed as

accelerated biological agingBioAgebiological age deviationcomposite aging biomarkersleukocyte telomere lengthPhenoAgeUK Biobank Pharma Proteomics Project

Identifiers

PMID38196645
PMCPMC10775323
OpenAlexW4389989287

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.