Evidence map›Paper›PMID 39606419›Full record

ArticlemedRxiv : the preprint server for health sciences2024

The Role of p16Ink4a as an Early Predictor of Physiological Decline during Natural Aging.

Lingzi Tang, Siarhei Hladyshau, Allison Ross, Kirsten A Nyrop, Amy Entwistle, Hyman B Muss, Natalia Mitin, Denis Tsygankov

Abstract 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.

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

8 authors.

Lingzi TangWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University SOM, Atlanta, GA 30332.
Siarhei HladyshauWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University SOM, Atlanta, GA 30332.
Allison RossLineberger Comprehensive Cancer Center and Department of medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Kirsten A NyropLineberger Comprehensive Cancer Center and Department of medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Amy EntwistleSapere Bio, Research Triangle Park, NC 27709.
Hyman B MussLineberger Comprehensive Cancer Center and Department of medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Natalia MitinSapere Bio, Research Triangle Park, NC 27709.
Denis TsygankovSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332.

Funding

Patterns of Aging and the Role of Biomarkers of SenescenceR21AG070356 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI TSYGANKOV, DENIS · 2021 to 2022
$436k
NIA NIH HHS R21 AG070356
6 · The paper itself

Abstract

Cellular senescence is a prominent accomplice of aging. The expression of gene p16ink4a has been established as a biomarker of cellular senescence in humans and animal models. However, it has not been extensively studied in clinical settings in the context of natural aging and the development of age-related diseases. Here, we report the results of a natural aging study that provided an assessment of cellular senescence and a battery of measures of clinical status, quality of life (QOL), and physical performance in 250 community-dwelling participants across age continuum. This report focused on analyzing predictive relationships between cellular senescence and different clinical assessments. Our results suggest that clinical labs and QOL assessments produce distinct groupings of participants, yet both have strong predictive associations with p16ink4a. Furthermore, the highest accuracy of p16ink4a prediction requires subsets of measurements representing diverse aspects of each assessment, pointing towards a system-level role of p16ink4a. Our analysis also led to an assessment-based composite indexes that strongly correlate with p16ink4a expression. Our study underscores p16ink4a's association with both earlier signs of physiological decline (based on clinical labs) and the later onset of health issues limiting the quality of life.

Identifiers

PMID39606419
PMCPMC11601678

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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.