Evidence map›Paper›PMID 41440637›Full record

ReviewJournal of functional biomaterials2025

Porcine Corneal Models as Translational Platforms for Innovative Therapies: Current Insights and Future Directions.

Patrícia Nápoles, Mónica Faria, Elisa Julião Campos

Abstract readReview
In one paragraph

Review in Journal of functional biomaterials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Patrícia NápolesDepartment of Physics, Faculty of Sciences and Technology, University of Coimbra, R. Larga, 3004-516 Coimbra, Portugal.
Mónica FariaLaboratory of Physics for Materials and Emerging Technologies (LaPMET), Center of Physics and Engineering of Advanced Materials (CeFEMA), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisbon, Portugal.ORCID 0000-0003-3708-6242
Elisa Julião CamposChemical Engineering and Renewable Resources for Sustainability (CEReS), Department of Chemical Engineering, University of Coimbra, R. Sílvio Lima, 3030-790 Coimbra, Portugal.ORCID 0000-0002-9601-7696

Funding

Fundação para a Ciência e Tecnologia CEECIND/CP1651/CT0016Fundação para a Ciência e Tecnologia CEECINST/00038/2021/CP2781/CT005Fundação para a Ciência e Tecnologia LA/P/0095/2020Fundação para a Ciência e Tecnologia UID/00102/2025Fundação para a Ciência e Tecnologia UID/04540Fundação para a Ciência e Tecnologia UIDB/00102/2020Fundação para a Ciência e Tecnologia UIDP/00102/2020Fundação para a Ciência e Tecnologia UID/PRR/00102/2025
6 · The paper itself

Abstract

The development of advanced biomaterials for corneal applications requires robust translational platforms that faithfully replicate human characteristics. Porcine corneas are increasingly recognized for ophthalmic research. Their unique combination of anatomical similarity, biomechanical comparability, and accessibility make them highly suitable for preclinical evaluation of innovative therapies, bridging the gap between preclinical discovery and clinical application. This review outlines the utility of porcine corneal models in validating advanced biomaterials, particularly in ex vivo settings, focusing on current methodologies, while addressing challenges and future directions. We aim to underscore the potential of porcine corneal models to accelerate the translation of next-generation biomaterials into clinically relevant corneal therapies.

Indexed as

cell viabilitydrug permeabilityex vivo modelophthalmic researchporcine corneal modeltranslational platform

Identifiers

PMID41440637
PMCPMC12733393

What Socratic 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 Socratic graph.