Evidence map›Paper›PMID 40600176›Full record

ArticleMaterials today. Bio2025

3D bioprinting of a perfusable skin-on-chip model suitable for drug testing and wound healing studies.

Federico Maggiotto, Eva Dalla Valle, Anna Fietta, Lorenzo Maria Visentin, Monica Giomo, Elisa Cimetta

Abstract read
In one paragraph

Article in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

6 authors.

Federico MaggiottoUniversity of Padua, Department of Industrial Engineering (DII), Via Marzolo 9, 35131, Padova, Italy.
Eva Dalla ValleUniversity of Padua, Department of Industrial Engineering (DII), Via Marzolo 9, 35131, Padova, Italy.
Anna FiettaUniversity of Padua, Department of Industrial Engineering (DII), Via Marzolo 9, 35131, Padova, Italy.
Lorenzo Maria VisentinBio System Lab Srl, Via Venanzio Fortunato 4, 31100, Treviso, Italy.
Monica GiomoUniversity of Padua, Department of Industrial Engineering (DII), Via Marzolo 9, 35131, Padova, Italy.
Elisa CimettaUniversity of Padua, Department of Industrial Engineering (DII), Via Marzolo 9, 35131, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skin, as the body's largest organ, serves critical functions including physical protection, thermoregulation, sensation, and immunity, making it a key focus in tissue engineering. Recently, 3D bioprinting has emerged as a promising method for fabricating skin substitutes, offering potential applications in both drug testing and clinical treatments for severe skin injuries. This technology enables the precise deposition of cells within a biomaterial matrix to create complex tissue structures with controlled microenvironments. A major challenge in 3D bioprinted skin models is incorporating a vascular system for adequate nutrient and oxygen distribution. Here, we present a novel approach for creating a perfusable 3D vascularized skin model using two bioinks: gelatin methacryloyl (GelMA) for the dermal and epidermal layers and Pluronic F127 as a sacrificial material for vascular channel formation. This method integrates three cell types, neonatal foreskin fibroblasts, human epidermal keratinocytes, and human umbilical vein endothelial cells, to establish a biomimetic skin construct. By employing sacrificial bioprinting techniques, we successfully developed a skin model with vascularized structures that can be used for advanced

Indexed as

3D bioprintingPerfusion bioreactorSkin modelTissue mimicsVascularization

Identifiers

PMID40600176
PMCPMC12212249

What OpenQuestion holds

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Registered trials

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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.