Evidence map›Paper›PMID 42683225›Full record

ReviewJournal of cell communication and signaling2026

Mechanobiological feedback loops and quantitative decision thresholds in organ fibrosis: Translational principles for antifibrotic therapy.

Amedeo Lonardo, Ralf Weiskirchen

Abstract readReview
In one paragraph

Review in Journal of cell communication and signaling, 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.

Amedeo LonardoIndependent Researcher Modena Italy.ORCID https://orcid.org/0000-0001-9886-0698
Ralf WeiskirchenInstitute of Molecular Pathobiochemistry, Experimental Gene Therapy, and Clinical Chemistry (IFMPEGKC) RWTH University Hospital Aachen Aachen Germany.ORCID https://orcid.org/0000-0003-3888-0931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiorgan fibrosis is a complex, maladaptive response to chronic injury, where the extracellular matrix (ECM) shifts from serving merely as a structural framework to becoming an active, sustained contributor to disease progression. We propose a unifying mechanobiological framework in which chronic injury promotes fibroblast activation and ECM remodeling, whereas the stiffened and remodeled ECM feeds back through integrins, mechanosensitive ion channels, collagen receptors, and Hippo-YAP/TAZ signaling to sustain fibrogenesis. Regulation of this process is governed by bidirectional feedback between cellular signaling and the matrix's physical properties across organs such as the lung, heart, liver, and kidney. This narrative review article presents recent advances in understanding mechanisms of cell-cell and ECM communication, paratensile signaling, mechanical feedback loops, cellular crosstalk and secretomes, quantitative therapeutic thresholds, and translational strategies for tissue remodeling. These developments collectively offer promising insights for the development of novel pharmacological agents targeting mechanotransduction pathways, ECM normalization, and cell-specific sensitization. We further define quantitative thresholds as diagnostic, action, and response thresholds that may support clinical decisions such as referral, treatment initiation, therapeutic monitoring, and clinical-trial enrichment. Finally, we provide specific details regarding the treatment of liver fibrosis before concluding with research agenda.

Indexed as

epithelial‐mesenchymal transitionextracellular matrix remodelingextracellular vesiclesfibrosismechanotransductionsignaling pathwaysYAP/TAZ signaling

Identifiers

PMID42683225
PMCPMC13531707

What Socratic holds

Textmetadata
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 Socratic graph.