Evidence mapPaperPMID 42489778Full record

ReviewBiogerontology2026

Cellular senescence and inflammageing: from mechanisms to senotherapeutic interventions.

Piotr Paweł Chmielewski

Abstract readReview
In one paragraph

Review in Biogerontology, 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

1 author.

Piotr Paweł ChmielewskiDivision of Anatomy, Department of Human Morphology and Embryology, Faculty of Medicine, Wroclaw Medical University, 6a Chałubińskiego Street, 50-368, Wrocław, Poland. piotr.chmielewski@umw.edu.pl.ORCID https://orcid.org/0000-0002-6995-123X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence is a context-dependent cellular state characterised by persistent cell-cycle arrest, epigenetic remodelling, metabolic reprogramming and acquisition of a senescence-associated secretory phenotype. Transient senescence contributes to embryogenesis, tissue repair and tumour suppression, whereas persistent senescent cell populations accumulate with advancing age across multiple tissues, in part owing to declining immune-mediated clearance and intrinsic resistance to apoptosis, thereby promoting chronic systemic inflammation, tissue fibrosis, stem-cell dysfunction and propagation of secondary senescence. Experimental genetic and pharmacological evidence supports a contributory and in several contexts causal role for senescent cells in cardiovascular, metabolic, musculoskeletal, fibrotic and neurodegenerative disorders. These findings have accelerated the development of senotherapeutic strategies, including senolytics, senomorphics and immune-mediated clearance approaches, with early clinical studies showing preliminary evidence of functional benefit in idiopathic pulmonary fibrosis and diabetic kidney disease. However, clinical translation remains constrained by senescence heterogeneity, limited biomarker specificity and unresolved long-term safety concerns. Improved molecular, spatial and functional resolution of senescent states will be essential for developing biomarker-guided and tissue-specific interventions that preserve the beneficial functions of transient senescence while limiting its chronic deleterious effects.

Indexed as

AgingCellular SenescenceInflammationSenotherapeuticsAnimalsHumansSenescence-Associated Secretory PhenotypeSenotherapeuticsBiomarkers of senescenceCellular senescenceGeroscienceInflammageingSenescence-associated secretory phenotype (SASP)SenolyticsSenotherapeutics

Identifiers

PMID42489778
PMCPMC13396041

What Socratic holds

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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.