Evidence mapPaperPMID 41377685Full record

ArticleRegenerative biomaterials2025

Engineered collagen XVII-loaded dissolving microneedle patch for promoting hair regrowth in androgenic alopecia.

Tao Ye, Chunna Wu, Yufei Fan, Huan Xia, Ziyi Li, Jingxian Deng, Ruxue Chang, Qihong Wu, Xun Tang, Tao Meng and 3 more

Abstract read
In one paragraph

Article in Regenerative biomaterials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Tao YeDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Chunna WuDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Yufei FanDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Huan XiaDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Ziyi LiDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Jingxian DengDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Ruxue ChangDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Qihong WuState Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou 510632, China.
Xun TangDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Tao MengDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Yifang LiDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Yan YangDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.
Yadong HuangDepartment of Cell Biology, Jinan University, Guangzhou 510632, China.ORCID https://orcid.org/0000-0002-8879-3273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Androgenic alopecia (AGA), the most common form of progressive hair loss in both males and females, significantly impacts patients' quality of life and confidence. Current therapies, such as minoxidil, are limited by poor patient compliance and low transdermal bioavailability, highlighting the need for more effective treatments. In this study, we identified collagen XVII (COL17) as a key player in AGA-like model pathogenesis, observing its significant downregulation in a testosterone-induced AGA-like mouse model. This reduction was accompanied by abnormal hair follicle morphology, decreased proliferation and impaired angiogenesis. To address this, we developed recombinant human COL17 fragment (800-1300 aa) (rhCOL17p) expressed and purified from

Indexed as

androgenic alopeciahair regenerationmicroneedle patchrecombinant human collagen XVII

Identifiers

PMID41377685
PMCPMC12688376

What Socratic holds

Textmetadata
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Registered trials

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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 Socratic graph.