Evidence map›Paper›PMID 40697396›Full record

ArticleBioactive materials2025

Biomimetic gender-specific human skin model based on gonads/epidermis-on-a-chip.

Xiangyi Wu, Yuanyuan Zhang, Ye Xu, Xinyue Cao, Yuanjin Zhao

Abstract read
In one paragraph

Article in Bioactive materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Xiangyi WuDepartment of Burn and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
Yuanyuan ZhangDepartment of Dermatology and Venereology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
Ye XuDepartment of Burn and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
Xinyue CaoSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Yuanjin ZhaoDepartment of Burn and Plastic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of bionic skin is crucial for progressing our understanding of skin physiology and pathologies, while the precise replication of human skin features in skin models remains a challenge. In this study, we present a biomimetic, gender-specific skin model utilizing a gonads/epidermis-on-a-chip platform. This innovative approach seamlessly integrates ex vivo cultured human epidermal tissue and gonad cell aggregates into a microfluidic system, facilitating the exploration of the regulatory effects of sex hormones on the epidermis. Based on this platform, we have found that estradiol can enhance proliferation and inhibit apoptosis of keratinocytes. Conversely, testosterone notably induces keratinocyte differentiation, leading to epidermal hyperkeratosis. These observations align with the well-documented phenomenon that males possess thicker and more durable skin, while females' skin exhibits superior repair capabilities. Thus, we believe that our biomimetic gender-specific skin model can offer a promising avenue for obtaining higher-certainty evidence of human skin-related conditions and find important applications in the areas of cosmetics and biomedicine.

Indexed as

BiomimeticGonad-on-a-chipMicrofluidicsOrgan-on-a-chipSkin modelSkin-on-a-chip

Identifiers

PMID40697396
PMCPMC12281451

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.