Evidence map›Paper›PMID 42471442›Full record

ArticleScientific reports2026

Monocytes strongly induce (myo)fibroblast contraction in a 3D skin model to understand inflammation-fibrosis crosstalk.

D C Zanin-Silva, N J T van Kooten, T I Papadimitriou, D N Dorst, B Walgreen, E L Vitters, M H J van den Bosch, M I Koenders, A P M van Caam

Abstract read
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In one paragraph

Article in Scientific reports, 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

9 authors.

D C Zanin-SilvaBasic and Applied Immunology Graduate Program, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
N J T van KootenExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands.
T I PapadimitriouExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands.
D N DorstExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands.
B WalgreenExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands.
E L VittersExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands.
M H J van den BoschExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands.
M I KoendersExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands.
A P M van CaamExperimental Rheumatology, Department of Rheumatology, Radboud University Medical Centre, Nijmegen, The Netherlands. Arjan.vanCaam@radboudumc.nl.

Funding

São Paulo Research Foundation (FAPESP) Grant number: 2023/04897-7
6 · The paper itself

Abstract

Systemic sclerosis (SSc) is an autoimmune disease characterized by excessive fibrosis and tissue stiffness, in which monocytes and macrophages are increasingly recognized as key contributors to pro-fibrotic myofibroblast formation, although the underlying mechanisms remain incompletely understood. Here, we used a three-dimensional (3D) skin model to study how CD14

Indexed as

FibroblastsInflammationMonocytesMyofibroblastsSkinCell DifferentiationCells, CulturedCoculture TechniquesFibrosisHumansMacrophagesScleroderma, SystemicSignal TransductionTransforming Growth Factor betaTransforming Growth Factor beta3D in vitro modelsFibrosisMonocytesMyofibroblastsSkinSystemic sclerosis

Identifiers

PMID42471442
PMCPMC13569832

What OpenQuestion holds

Textmetadata
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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.