Evidence map›Paper›PMID 40396134›Full record

ArticleMechanobiology in medicine2025

Mechanotransduction and inflammation: An updated comprehensive representation.

Vennila Suriyagandhi, Ying Ma, Veronica Paparozzi, Tiziana Guarnieri, Biagio Di Pietro, Giovanna Maria Dimitri, Paolo Tieri, Claudia Sala, Darong Lai, Christine Nardini

Abstract read
In one paragraph

Article in Mechanobiology in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

10 authors.

Vennila SuriyagandhiConsiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), 00185 Roma, Italy.
Ying MaConsiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), 00185 Roma, Italy.
Veronica PaparozziConsiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), 00185 Roma, Italy.
Tiziana GuarnieriConsiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), 00185 Roma, Italy.
Biagio Di PietroConsiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), 00185 Roma, Italy.
Giovanna Maria DimitriDepartment of Information Engineering and Mathematics, University of Siena, Italy.
Paolo TieriConsiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), 00185 Roma, Italy.
Claudia SalaDepartment of Medical and Surgical Sciences, Alma Mater Studiorum Università di Bologna, Bologna, Italy.
Darong LaiDepartment of Computer Science and Engineering, Southeast University, 211189 Nanjing, PR China.
Christine NardiniConsiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone" (IAC), 00185 Roma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanotransduction is the process that enables the conversion of mechanical cues into biochemical signaling. While all our cells are well known to be sensitive to such stimuli, the details of the systemic interaction between mechanical input and inflammation are not well integrated. Often, indeed, they are considered and studied in relatively compartmentalized areas, and we therefore argue here that to understand the relationship of mechanical stimuli with inflammation - with a high translational potential - it is crucial to offer and analyze a unified view of mechanotransduction. We therefore present here pathway representation, recollected with the standard systems biology markup language (SBML) and explored with network biology approaches, offering RAC1 as an exemplar and emerging molecule with potential for medical translation.

Indexed as

EnrichmentInflammationMechanotransductionNetwork analysisRAC1Systems biology markup language (SBML)

Identifiers

PMID40396134
PMCPMC12082120

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.