ArticleMedical science monitor : international medical journal of experimental and clinical research2021
Tissue-Engineered Skin Regenerative Units for Epidermal Keratinocytes Expansion and Wound Healing.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Comparison Combination of Autologous Fibroblast Cells Plus Platelet Rich Plasma (PRP) With PRP Alone in Treatment of Atrophic Acne Scars, a Split-Face Pilot Study With Biometric Assessment.Journal of cosmetic dermatology · 2025Article
- 3D-Bioprinted Skin Tissues for Improving Wound Healing: Current Status and Perspective.Advances in experimental medicine and biology · 2025Review
- Article
- Comparison of combination skin substitutes and skin grafts versus skin grafts only for treating wounds measured by Vancouver Scar Scale: A comprehensive meta-analysis.SAGE open medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic wounds have become an increasing medical and economic problem of aging societies because they are difficult to manage. Tissue engineering provides new perspectives for the clinically applicable skin substitutes. Epidermal keratinocytes play an important role in wound epithelization and construction of tissue-engineered skin substitutes. How to obtain a large number of autologous epidermal keratinocytes in a short time is the main problem that limits the application of tissue-engineered skin and epidermal cell membranes. Developing an appropriate method for reproducing the biological potential of cell-cell interactions and simulating the three-dimensional structure between cells has great significance for epidermal keratinocytes expansion and full-thickness skin regeneration. In this article, we propose the concept of tissue-engineered skin regeneration units (TESRUs) as the smallest unit with complete full-thickness skin regeneration ability. First, autologous dermal fibroblasts are cultured in biodegradable macroporous microcarriers to provide the mesenchyme support. Second, autologous epidermal keratinocytes and autologous melanocytes are incubated with the fibroblasts-loaded microcarriers and expand in vitro. Incorporating the above co-culture method into the macroporous microcarriers is reasonable for maintaining cell-cell interactions in spatial and temporal context and providing a suitable growth niche for epidermal keratinocytes. Moreover, TESRUs are composed of fibroblasts, keratinocytes, and melanocytes and have complete full-thickness skin regeneration ability. We suggest that TESRUs could be a promising strategy to repair full-thickness skin defects for clinical applications if the hypothesis proves to be practical.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.