Evidence mapPaperPMID 42417552Full record

ReviewDisease models & mechanisms2026

In vitro and in vivo models for androgenetic alopecia drug development.

Shan Tu, Ayaka Nanmo, Yuki Migita, Tomoki Asaba, Jieun Seo, Sayuri Hamano, Tatsuto Kageyama, Junji Fukuda

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2026. 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. Article
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

8 authors.

Shan TuFaculty of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.
Ayaka NanmoInstitute of Advanced Science, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.
Yuki MigitaFaculty of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.
Tomoki AsabaFaculty of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.
Jieun SeoFaculty of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.
Sayuri HamanoInstitute of Advanced Science, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.
Tatsuto KageyamaFaculty of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.
Junji FukudaFaculty of Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan.ORCID 0000-0002-7194-8099

Funding

Japan Agency for Medical Research and Development 23bm1123031h0001Japan Society for the Promotion of Science (KAKENHI) 23H01771Japan Society for the Promotion of Science (KAKENHI) 23K13614Kanagawa Institute of Industrial Science and Technology (KISTEC)Yokohama National University
6 · The paper itself

Abstract

Alopecia is a common disorder that can cause hair loss owing to various factors, including genetics, stress and diet. Androgenetic alopecia (AGA), also known as male pattern baldness, is the most common type of progressive hair loss. AGA symptoms can be alleviated by effective drugs, such as finasteride and minoxidil. Therefore, most patients with alopecia select drug therapy as the first-line treatment. However, their side effects and variable efficacy have increased the demand for alternative treatment options for these patients. Despite the high clinical demand, the development of novel therapeutic agents remains limited, primarily due to the lack of physiologically relevant drug testing models that accurately predict drug effects in humans. In this At a Glance article, we provide an overview of the currently available in vitro models for hair drug testing. First, we outline the limitations of traditional models, such as two-dimensional cultures and animal models, in reproducing hair follicle structures and multicellular signaling pathways. We then introduce three-dimensional culture platforms that partially overcome these drawbacks. Next, we discuss the differences and applications of various models in terms of functional readouts, reproducibility, high-throughput potential, standardization and cost. We highlight recent progress in the development of follicular skin model constructs and propose practical metrics for selecting the most appropriate model for the initial screening of potential hair drugs. Overall, this At a Glance article provides a roadmap towards a more translationally valuable screening system for the discovery and development of hair loss treatments.

Indexed as

AlopeciaDrug DevelopmentModels, BiologicalAnimalsDisease Models, AnimalHair FollicleHumansAndrogenetic alopeciaDrug screeningHair follicle models

Identifiers

PMID42417552
PMCPMC13382705

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.