Evidence map›Paper›PMID 40243696›Full record

ReviewInternational journal of molecular sciences2025

Dressed in Collagen: 2D and 3D Cardiac Fibrosis Models.

Maria Cardona-Timoner, Rita N Gomes, Diana S Nascimento

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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. Gene Expression ofIn vivo (Athens, Greece)
    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

3 authors.

Maria Cardona-TimonerInstitute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal.ORCID 0009-0008-8834-9739
Rita N GomesInstitute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal.ORCID 0000-0003-4237-2024
Diana S NascimentoInstitute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal.ORCID 0000-0001-6402-4245

Funding

European Union G.A. 101091852Fundação para a Ciência e Tecnologia SFRH/BD/144490/2019
6 · The paper itself

Abstract

Cardiovascular diseases (CVD), the leading cause of death worldwide, and their strong association with fibrosis highlight the pressing need for innovative antifibrotic therapies. In vitro models have emerged as valuable tools for replicating cardiac fibrosis 'in a dish', facilitating the study of disease mechanisms and serving as platforms for drug testing and development. These in vitro systems encompass 2D and 3D models, each with its own limitations and advantages. 2D models offer high reproducibility, cost-effectiveness, and high-throughput capabilities, but they oversimplify the complex fibrotic environment. On the other hand, 3D models provide greater biological relevance but are more complex, harder to reproduce, and less suited for high-throughput screening. The choice of model depends on the specific research question and the stage of drug development. Despite significant progress, challenges remain, including the integration of immune cells in cardiac fibrosis and optimizing the scalability and throughput of highly biomimetic systems. Herein, we review recent in vitro cardiac fibrosis models, with a focus on their shared characteristics and remaining challenges, and explore how in vitro fibrosis models of other organs could inspire novel approaches in cardiac research, showcasing potential strategies that could be adapted to refine myocardial fibrosis models.

Indexed as

CollagenMyocardiumAnimalsFibrosisHumansCollagencardiac fibroblastscardiac fibrosisdisease modelingin vitro fibrosis models

Identifiers

PMID40243696
PMCPMC11988687

What OpenQuestion holds

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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.