Evidence map›Paper›PMID 42004381›Full record

ArticleACS omega2026

Substrate Stiffness Modulates Cell-Network Topology in Human-Derived Neurons.

Giulia Bruno, Giuseppina Iachetta, Luca Ceseracciu, Riccardo Carzino, Luigi Bruno, Julien Hurtaud, Francesco Gentile, Francesco De Angelis

Abstract read
In one paragraph

Article in ACS omega, 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

8 authors.

Giulia BrunoItalian Institute of Technology, Plasmon Nanotechnologies, via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0002-6259-2318
Giuseppina IachettaItalian Institute of Technology, Plasmon Nanotechnologies, via Morego 30, 16163 Genova, Italy.
Luca CeseracciuItalian Institute of Technology, Plasmon Nanotechnologies, via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0003-3296-8051
Riccardo CarzinoItalian Institute of Technology, Plasmon Nanotechnologies, via Morego 30, 16163 Genova, Italy.
Luigi BrunoUniversity of Calabria, Department of Mechanical, Energy, and Management Engineering, Via Bucci 44C, 87036 Rende (CS), Italy.
Julien HurtaudItalian Institute of Technology, Plasmon Nanotechnologies, via Morego 30, 16163 Genova, Italy.
Francesco GentileUniversity Magna Graecia of Catanzaro, Department of Experimental and Clinical Medicine, Viale Europa, 88100 Catanzaro, Italy.ORCID https://orcid.org/0000-0002-1724-6301
Francesco De AngelisItalian Institute of Technology, Plasmon Nanotechnologies, via Morego 30, 16163 Genova, Italy.ORCID https://orcid.org/0000-0001-6053-2488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using confocal imaging and network topology analysis, we investigated how substrate stiffness affects adhesion and connectivity in hiPSC-derived neuronal cultures grown on polydimethylsiloxane (PDMS). We compared soft (∼12 kPa) and stiff (∼1.5 MPa) substrates with matched surface properties to isolate mechanical effects. Confocal analysis of NCAM expression revealed higher levels on soft PDMS at 10 DIV, indicating enhanced neuronal adhesion and outgrowth. Network topology analysis showed that only soft PDMS supported increased clustering, reduced path length, and higher small-worldness, reflecting more efficient connectivity. These results underscore the importance of substrate compliance in promoting neuronal development and inform scaffold design for neural engineering.

Identifiers

PMID42004381
PMCPMC13084456

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.