Evidence map›Paper›PMID 42432814›Full record

ReviewInflammation and regeneration2026

Loss of tissue-state plasticity: a conceptual framework for age-associated regenerative failure.

Takayoshi Otsuka, Hideaki Matsui

Abstract readReview
In one paragraph

Review in Inflammation and regeneration, 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

2 authors.

Takayoshi OtsukaDepartment of Neuroscience of Disease, Brain Research Institute, Niigata University, 1-757, Asahimachidori, Niigata, 951-8585, Japan. totsuka@bri.niigata-u.ac.jp.
Hideaki MatsuiDepartment of Neuroscience of Disease, Brain Research Institute, Niigata University, 1-757, Asahimachidori, Niigata, 951-8585, Japan. hide0729@bri.niigata-u.ac.jp.ORCID https://orcid.org/0000-0003-4908-1035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue regeneration depends on the activation of resident stem and progenitor cells, dynamic interactions with the extracellular matrix (ECM), and tightly regulated growth factor signaling, including fibroblast growth factors (FGFs) and transforming growth factor-β (TGF-β). Numerous therapeutic strategies have aimed to enhance repair through exogenous growth factor delivery or stem cell transplantation. However, despite the presence of abundant regenerative signals, including those derived from the senescence-associated secretory phenotype (SASP), regenerative capacity declines with age across multiple organs. This discrepancy suggests that age-related regenerative decline reflects not a reduction in signal availability, but a profound alteration in how tissues interpret and respond to those signals. Here, we propose a conceptual framework centered on the concept of "tissue state"-a metastable, tissue-wide organizational mode that determines how incoming signals are interpreted and executed. Tissue state is shaped by the integration of cellular composition, ECM properties, inflammatory context, and intracellular stress responses. Within this framework, exogenous signals are interpreted as context-dependent inputs, and their biological outcomes are determined by the pre-existing tissue state. We further discuss how this perspective reshapes our understanding of regenerative medicine, suggesting that restoring tissue-state flexibility may be a more effective therapeutic goal than simply augmenting signal availability.

Indexed as

AgingFGF/TGF-β signalingFibrosisTissue regenerationTissue-state plasticity

Identifiers

PMID42432814
PMCPMC13637143

What Socratic holds

Textmetadata
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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.