Evidence map›Paper›PMID 42276069›Full record

ArticleCell reports2026

Circulating cell type senescence signatures track distinct dimensions of health status and trajectories in human longitudinal cohorts.

Bradley Olinger, Carlos Anerillas, Allison B Herman, Dimitrios Tsitsipatis, Reema Banarjee, Toshiko Tanaka, Julian Candia, Manolis Maragkakis, Stefania Bandinelli, Keenan A Walker and 5 more

Abstract read
In one paragraph

Article in Cell reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Bradley OlingerTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA; Department of Biology, Johns Hopkins University, Baltimore, MD, USA.
Carlos AnerillasTissue and Organ Homeostasis Program, Centro de Biología Molecular Severo Ochoa (CBM), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
Allison B HermanLaboratory of Cardiovascular Science, National Institute on Aging, NIH, Baltimore, MD, USA.
Dimitrios TsitsipatisLaboratory of Cardiovascular Science, National Institute on Aging, NIH, Baltimore, MD, USA.
Reema BanarjeeTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Toshiko TanakaTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Julian CandiaTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Manolis MaragkakisLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Stefania BandinelliGeriatric Unit, Azienda Sanitaria Toscana Centro, Firenze, Italy.
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Baltimore, MD, USA.
Eleanor M SimonsickTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Yue A QiCenter for Alzheimer's Disease and Related Dementias, National Institute on Aging, NIH, Bethesda, MD, USA.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Myriam GorospeLaboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA.
Nathan BasistyTranslational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA. Electronic address: nathan.basisty@nih.gov.

Funding

JHU-Mayo-NIA Murine Senescence Mapping Program (JMN-MSMP)U54AG079779 · NIA · JOHNS HOPKINS UNIVERSITY · PI JENNIFER H ELISSEEFF · 2022 to 2026
$6.4M
Development of Sensitive and Specific Proteomic Biomarkers of Aging, Health, Frailty, and Morbidity in Human CohortsZIAAG000345 · NIA · NATIONAL INSTITUTE ON AGING · PI BASISTY, NATHAN · 2021 to 2025
$689k
Targeting, Quantifying, and Isolating Heterogeneous Populations of Senescent Cells from Tissues via Cell Surface and Secreted ProteomesZIAAG000346 · NIA · NATIONAL INSTITUTE ON AGING · PI BASISTY, NATHAN · 2021 to 2025
$648k
Intramural NIH HHS ZIA AG000345Intramural NIH HHS ZIA AG000346NIA NIH HHS U54 AG079779
6 · The paper itself

Abstract

Cellular senescence is implicated in age-related pathologies, and identifying circulating biomarkers of senescence holds great diagnostic potential. Circulating senescence signatures are predictive of age-related traits and diseases, though cell type senescence signatures have not been comprehensively explored. In this study, senescence signatures from the Senescence Catalog (SenCat), including 14 human cell types are examined in circulation for clinical relevance in two longitudinal studies-1,275 participants of the Baltimore Longitudinal Study of Aging (BLSA) and 997 participants of the Invecchiare in Chianti (InCHIANTI) study. Notably, pooled senescence proteins outperform non-senescence proteins in predicting many clinical parameters such as age and hypertension, and in many instances, cell type senescence signatures map most strongly to their corresponding health domain. Importantly, the immune cell senescence signature is associated with mortality and future disease onset. This study demonstrates that circulating cell type biomarkers of senescence can reveal higher resolution health status than previously attained.

Indexed as

AgingCellular SenescenceHealth StatusAgedBiomarkersFemaleHumansLongitudinal StudiesMaleMiddle AgedBiomarkersbiomarkersCP: metabolismgerosciencemulti-omicsplasmaproteomicssenescencesenotypetranscriptomics

Identifiers

PMID42276069
PMCPMC13358927

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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.