ReviewZhonghua shao shang yu chuang mian xiu fu za zhi2026
[Research advances on the application of skin appendage organoids in wound repair].
Review in Zhonghua shao shang yu chuang mian xiu fu za zhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
6 authors.
Funding
Abstract
Skin wounds are often accompanied by structural damage and functional loss of appendages such as hair follicles and sweat glands, which cannot be fully restored by conventional repair methods. The development of skin organoid technology provides a new avenue to overcome this bottleneck. This article reviews the developmental history of skin organoids and systematically elaborates on the strategies and applications of skin appendage organoids in promoting functional skin regeneration. Furthermore, it analyzes the critical role of vascular and neural integration in improving the quality of wound repair. Finally, the article summarizes the current challenges associated with technologies such as stem cell induction, three-dimensional bioprinting, microfluidics, organ-on-a-chip, and air-liquid interface culture, and provides perspectives on the clinical translation of skin appendage organoids.
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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.