Evidence map›Paper›PMID 40070338›Full record

ArticleJournal of the Royal Society, Interface2025

Nanomechanics of cell-derived matrices as a functional read-out in collagen VI-related congenital muscular dystrophies.

Tom White, Arístides López-Márquez, Carmen Badosa, Ceclila Jimenez-Mallebrera, Josep Samitier, Marina Inés Giannotti, Anna Lagunas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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.

Tom WhiteNanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain.
Arístides López-MárquezLaboratorio de Investigación Aplicada en Enfermedades Neuromusculares, Institut de Recerca Sant Joan de Déu, Barcelona, Catalunya, Spain.
Carmen BadosaLaboratorio de Investigación Aplicada en Enfermedades Neuromusculares, Institut de Recerca Sant Joan de Déu, Barcelona, Catalunya, Spain.
Ceclila Jimenez-MallebreraLaboratorio de Investigación Aplicada en Enfermedades Neuromusculares, Institut de Recerca Sant Joan de Déu, Barcelona, Catalunya, Spain.
Josep SamitierNanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain.
Marina Inés GiannottiCIBER-BBN, ISCIII, Madrid, Spain.
Anna LagunasNanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0002-0936-3401

Funding

CERCA Programme / Generalitat de CatalunyaDepartment of Research and Universities of the Generalitat de CatalunyaInstituto de Salud Carlos IIINetworking Biomedical Research Center (CIBER)Plan Complementario de Biotecnología aplicada a la Salud, Plan de Recuperación, Transformación y Resiliencia (C17.I1), European Comission NextGenerationEUSpanish Ministry of Science and Innovation/FEDER
6 · The paper itself

Abstract

Changes in the mechanical properties of the extracellular matrix (ECM) are a hallmark of disease. Due to its relevance, several

Indexed as

Collagen Type VIExtracellular MatrixMuscular DystrophiesElastic ModulusFemaleHumansMaleMicroscopy, Atomic ForceCollagen Type VIatomic force microscopy-based force spectroscopycell-derived matricescollagen VI-related congenital muscular dystrophieselastic modulusextracellular matrixgene editing

Identifiers

PMID40070338
PMCPMC11897821

What OpenQuestion 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 OpenQuestion graph.