Evidence map›Paper›PMID 35890312›Full record

ReviewPharmaceutics2022

Modeling an Optimal 3D Skin-on-Chip within Microfluidic Devices for Pharmacological Studies.

Estibaliz Fernandez-Carro, Maricke Angenent, Tamara Gracia-Cazaña, Yolanda Gilaberte, Clara Alcaine, Jesús Ciriza

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  7. AlternativeExpert reviews in molecular medicine · 2026
    Review
  8. Regenerative biomaterials · 2026
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Recreating Human Skin In Vitro: Should the Microbiota Be Taken into Account?International journal of molecular sciences · 2024
    Review
  19. 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

6 authors at 2 institutions in 1 country.

Estibaliz Fernandez-CarroTissue Microenvironment (TME) Lab, Aragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.
Maricke AngenentTissue Microenvironment (TME) Lab, Aragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.
Tamara Gracia-CazañaDepartment of Dermatology, University Hospital Miguel Servet, IIS Aragón, 50018 Zaragoza, Spain.
Yolanda GilaberteDepartment of Dermatology, University Hospital Miguel Servet, IIS Aragón, 50018 Zaragoza, Spain.ORCID 0000-0001-8034-3617
Clara AlcaineTissue Microenvironment (TME) Lab, Aragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.
Jesús CirizaTissue Microenvironment (TME) Lab, Aragón Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.ORCID 0000-0002-8666-622X
Universidad de Zaragoza · ESHospital Universitario Miguel Servet · ES

Funding

Gobierno de Aragón GIS096Gobierno de Aragón LMP233_21
6 · The paper itself

Abstract

Preclinical research remains hampered by an inadequate representation of human tissue environments which results in inaccurate predictions of a drug candidate's effects and target's suitability. While human 2D and 3D cell cultures and organoids have been extensively improved to mimic the precise structure and function of human tissues, major challenges persist since only few of these models adequately represent the complexity of human tissues. The development of skin-on-chip technology has allowed the transition from static 3D cultures to dynamic 3D cultures resembling human physiology. The integration of vasculature, immune system, or the resident microbiome in the next generation of SoC, with continuous detection of changes in metabolism, would potentially overcome the current limitations, providing reliable and robust results and mimicking the complex human skin. This review aims to provide an overview of the biological skin constituents and mechanical requirements that should be incorporated in a human skin-on-chip, permitting pharmacological, toxicological, and cosmetic tests closer to reality.

Indexed as

cosmetic testdermatologyECMimmune systemmicrobiomemicrofluidic devicespharmacological testskin-on-chipTEERtoxicological test

Identifiers

PMID35890312
PMCPMC9316928
OpenAlexW4284889842

What OpenQuestion 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 OpenQuestion graph.