ReviewBurns & trauma2025
Advances in engineered organoid models of skin for biomedical research.
Review in Burns & trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- SAP18 drives vasculogenic mimicry in esophageal squamous cell carcinoma: a machine learning and multi-omics investigation.NPJ precision oncology · 2026Article
- RNA Coding and Transcriptional Regulation in Skin Repair: Insights from Single-Cell Profiling and Implications for Organoid-Based Regenerative Strategies.Life (Basel, Switzerland) · 2026Review
- Hesperidin from Chenpi Ameliorates Skin Photoaging by Targeting HSPA1L to Stabilize GPX4 and Suppress Ferroptosis.Antioxidants (Basel, Switzerland) · 2026Article
- Engineering the Healing Process: Advanced In Vitro Wound Models and Technologies.Biomedicines · 2026Review
- Skin Organoids in Proteostasis Research: Early Insights into Aging.Biomolecules & therapeutics · 2026Review
- Unraveling the Enigma of Melanoma Brain Metastasis: New Molecular Insights and Therapeutic Directions.International journal of molecular sciences · 2026Review
- Research Progress on Construction Technology of 3D Human Skin Models and Its Application Prospects in Dermatology.International journal of molecular sciences · 2026Review
- Organoid research: new concepts and new technologies.Burns & trauma · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, significant progress has been made in the development of organoids, which offer promising opportunities for developmental and translational research. With advances in cell biology and bioengineering techniques, skin models are evolving from conventional multilayered structures to appendage-bearing spheroids or 3D biomimetic models. This comprehensive review aims to provide an in-depth understanding of organoid models of the skin, covering topics such as skin development, construction strategies and key elements, types of organoid models, biomedical applications, and challenges. Embryonic skin development is briefly introduced to provide a foundational understanding of construction principles. Current engineering strategies are outlined, highlighting key elements such as cell sources, bioengineering techniques, 3D scaffolds, and crucial signaling pathways. Furthermore, recent advances in generating organoids with structural and functional parallels to native skin are meticulously summarized. These developments facilitate the utilization of organoids in diverse applications, such as modeling skin disorders, developing regenerative solutions, and understanding skin development. Finally, the challenges and prospects in the field are discussed. The integration of state-of-the-art bioengineering techniques with a deep understanding of skin biology is promoting the production and biomedical application of these organoid models.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.