ArticleExperimental biology and medicine (Maywood, N.J.)2017
In vitro psoriasis models with focus on reconstructed skin models as promising tools in psoriasis research.
Article in Experimental biology and medicine (Maywood, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Keratinocyte Primary Isolation, Cultivation, and Air-Liquid Interface Culture.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Skin as a Potential Entry Point for SARS-CoV-2 Virus.International journal of molecular sciences · 2026Article
- Loganin Attenuates Psoriasis-Like Inflammation by Regulating the NLRP3 Inflammasome-SIRT1 Axis in Keratinocytes.Journal of clinical practice and research · 2026Article
- NLRP1 inflammasome activation in skin equivalents reveals mechanistic insights into the roles of keratinocytes in psoriasis.Cell death & disease · 2026Article
- SKIN AS A POTENTIAL ENTRY POINT FOR SARS-COV-2.bioRxiv : the preprint server for biology · 2026Article
- CD4Frontiers in immunology · 2026Article
- Question-Driven Selection of Psoriasis Animal Models: A Structured Narrative Review of 48 Model Records.Journal of inflammation research · 2026Review
- A review of 3D In vitro skin models for psoriasis: from pathophysiology to advanced bioengineering.Frontiers in bioengineering and biotechnology · 2026Review
- Inhibition of histone deacetylases 3 attenuates imiquimod-induced psoriatic dermatitis via targeting cGAS-STING signaling in keratinocytes.Journal of translational medicine · 2025Article
- IL-17 Ligand and Receptor Family Members Are Differentially Expressed by Keratinocyte Subpopulations and Modulate Their Differentiation and Inflammatory Phenotype.International journal of molecular sciences · 2025Article
- Revealing the Therapeutic Potential: Investigating the Impact of a Novel Witch Hazel Formula on Anti-Inflammation and Antioxidation.Journal of cosmetic dermatology · 2025Article
- Breakthrough Opportunities of Nanotheranostics in Psoriasis: From Pathogenesis to Management Strategy.Infectious disorders drug targets · 2025Review
- A standardizable human-based psoriasis skin model for drug development.Frontiers in medicine · 2025Article
- ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Sprayable inflammasome-inhibiting lipid nanorods in a polymeric scaffold for psoriasis therapy.Nature communications · 2024Article
- Dermal Delivery ofRecent advances in drug delivery and formulation · 2024Article
- Development of a mammalian neurosensory full-thickness skin equivalent and its application to screen sensitizing stimuli.Bioengineering & translational medicine · 2023Article
- Investigation into the effect of skin tone modulators and exogenous stress on skin pigmentation utilizing a novel bioengineered skin equivalent.Bioengineering & translational medicine · 2023Article
- Evaluation of the Efficacy of Xyloglucan, Pea Protein andInternational journal of molecular sciences · 2023Article
- Induction of psoriasis- and atopic dermatitis-like phenotypes in 3D skin equivalents with a fibroblast-derived matrix.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psoriasis is a complex chronic immune-mediated inflammatory cutaneous disease associated with the development of inflammatory plaques on the skin. Studies proved that the disease results from a deregulated interplay between skin keratinocytes, immune cells and the environment leading to a persisting inflammatory process modulated by pro-inflammatory cytokines and activation of T cells. However, a major hindrance to study the pathogenesis of psoriasis more in depth and subsequent development of novel therapies is the lack of suitable pre-clinical models mimicking the complex phenotype of this skin disorder. Recent advances in and optimization of three-dimensional skin equivalent models have made them attractive and promising alternatives to the simplistic monolayer cultures, immunological different in vivo models and scarce ex vivo skin explants. Moreover, human skin equivalents are increasing in complexity level to match human biology as closely as possible. Here, we critically review the different types of three-dimensional skin models of psoriasis with relevance to their application potential and advantages over other models. This will guide researchers in choosing the most suitable psoriasis skin model for therapeutic drug testing (including gene therapy via siRNA molecules), or to examine biological features contributing to the pathology of psoriasis. However, the addition of T cells (as recently applied to a de-epidermized dermis-based psoriatic skin model) or other immune cells would make them even more attractive models and broaden their application potential. Eventually, the ultimate goal would be to substitute animal models by three-dimensional psoriatic skin models in the pre-clinical phases of anti-psoriasis candidate drugs. Impact statement The continuous development of novel in vitro models mimicking the psoriasis phenotype is important in the field of psoriasis research, as currently no model exists that completely matches the in vivo psoriasis skin or the disease pathology. This work provides a complete overview of the different available in vitro psoriasis models and suggests improvements for future models. Moreover, a focus was given to psoriatic skin equivalent models, as they offer several advantages over the other models, including commercial availability and validity. The potential and reported applicability of these models in psoriasis pre-clinical research is extensively discussed. As such, this work offers a guide to researchers in their choice of pre-clinical psoriasis model depending on their type of research question.
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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.