Evidence map›Paper›PMID 37770897›Full record

SynthesisCell communication and signaling : CCS2023

Meta-analysis of senescent cell secretomes to identify common and specific features of the different senescent phenotypes: a tool for developing new senotherapeutics.

Yo Oguma, Nicola Alessio, Domenico Aprile, Mari Dezawa, Gianfranco Peluso, Giovanni Di Bernardo, Umberto Galderisi

Open access · goldAbstract readVideo-Audio MediaMeta-Analysis
In one paragraph

Synthesis in Cell communication and signaling : CCS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

25 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  6. The Impact of Ageing on Fibrillar Collagens.Sub-cellular biochemistry · 2026
    Review
  7. Review
  8. Review
  9. Replication stress-induced nuclear hypertrophy alters chromatin topology and impacts cancer cell fitness.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. The states of senescent cells.Biochemical Society transactions · 2025
    Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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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

7 authors at 4 institutions in 4 countries.

Yo OgumaDepartment of Stem Cell Biology and Histology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Nicola AlessioDepartment of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy.
Domenico AprileDepartment of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy.
Mari DezawaDepartment of Stem Cell Biology and Histology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Gianfranco PelusoInternational Medical University UNICAMILLUS, Rome, Italy.
Giovanni Di BernardoDepartment of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy.
Umberto GalderisiDepartment of Experimental Medicine, Luigi Vanvitelli Campania University, Naples, Italy. umberto.galderisi@unicampania.it.
University of Campania "Luigi Vanvitelli" · ITTohoku University · JPSaint Camillus International University of Health and Medical Sciences · ITTemple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA damage resulting from genotoxic injury can initiate cellular senescence, a state characterized by alterations in cellular metabolism, lysosomal activity, and the secretion of factors collectively known as the senescence-associated secretory phenotype (SASP). Senescence can have beneficial effects on our bodies, such as anti-cancer properties, wound healing, and tissue development, which are attributed to the SASP produced by senescent cells in their intermediate stages. However, senescence can also promote cancer and aging, primarily due to the pro-inflammatory activity of SASP.Studying senescence is complex due to various factors involved. Genotoxic stimuli cause random damage to cellular macromolecules, leading to variations in the senescent phenotype from cell to cell, despite a shared program. Furthermore, senescence is a dynamic process that cannot be analyzed as a static endpoint, adding further complexity.Investigating SASP is particularly intriguing as it reveals how a senescence process triggered in a few cells can spread to many others, resulting in either positive or negative consequences for health. In our study, we conducted a meta-analysis of the protein content of SASP obtained from different research groups, including our own. We categorized the collected omic data based on: i) cell type, ii) harmful agent, and iii) senescence stage (early and late senescence).By employing Gene Ontology and Network analysis on the omic data, we identified common and specific features of different senescent phenotypes. This research has the potential to pave the way for the development of new senotherapeutic drugs aimed at combating the negative consequences associated with the senescence process. Video Abstract.

Indexed as

NeoplasmsSenotherapeuticsAgingCellular SenescenceHumansPhenotypeSecretomeSenotherapeuticsMeta-analysisSASPSecretomeSenescence

Identifiers

PMID37770897
PMCPMC10537976
OpenAlexW4387118593

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.