Evidence map›Paper›PMID 42778560›Full record

ArticleNature communications2026

Substrate curvature and stiffness equivalence in governing cell mechanosensing.

Crescenzo Frascogna, Valeria Panzetta, Valentina Mollo, Raffaele Marotta, Salvatore Strano, Sabato Fusco, Paolo A Netti

Abstract read
In one paragraph

Article in Nature communications, 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

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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

7 authors.

Crescenzo Frascogna *Center for Advanced Biomaterials for Healthcare @CRIB, Italian Institute of Technology, Naples, Italy.
Valeria Panzetta *Center for Advanced Biomaterials for Healthcare @CRIB, Italian Institute of Technology, Naples, Italy.ORCID http://orcid.org/0000-0001-6174-4116
Valentina MolloCenter for Advanced Biomaterials for Healthcare @CRIB, Italian Institute of Technology, Naples, Italy.
Raffaele MarottaDepartment of Industrial Engineering, University of Naples Federico II, Naples, Italy.
Salvatore StranoDepartment of Industrial Engineering, University of Naples Federico II, Naples, Italy.
Sabato FuscoCenter for Advanced Biomaterials for Healthcare @CRIB, Italian Institute of Technology, Naples, Italy. sabato.fusco@unimol.it.ORCID http://orcid.org/0000-0001-7999-8640
Paolo A NettiCenter for Advanced Biomaterials for Healthcare @CRIB, Italian Institute of Technology, Naples, Italy. paolo.netti@iit.it.ORCID http://orcid.org/0000-0002-2435-7181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanosensing enables cells to perceive and interpret their mechanical microenvironment, including forces, stiffness and topography. Although focal adhesions (FAs) are central to this process, their structural adaptation to mechanical stimuli remains poorly understood. Here, we uncover FA tilting - the inclination of the FA plane relative to the substrate - as a mechanically regulated architectural feature. Using reverse cell imprinting and atomic force microscopy, we reveal a strong inverse correlation between FA tilting angle and substrate stiffness. A two-dimensional clutch model shows that tilting emerges from force distribution across the FA-substrate interface and contributes to cell mechanosensing. By engineering rigid substrates with defined curvatures, we impose specific tilting angles independently of stiffness and modulate the cellular mechanostate, revealing a curvature-stiffness mechanical equivalence principle. This enables the construction of a correlation map linking curvature values to equivalent stiffness levels.Together, our results identify FA tilting as a geometrical and mechanical transducer and a powerful design parameter for instructive biomaterials in physio-pathological tissue engineering.

Indexed as

Focal AdhesionsMechanotransduction, CellularAnimalsBiomechanical PhenomenaHumansMicroscopy, Atomic ForceTissue Engineering

Identifiers

PMID42778560
PMCPMC13601540

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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.