Evidence map›Paper›PMID 39905217›Full record

ArticleScientific reports2025

Three-dimensional ultrastructural analysis of human skin with the arrector pili muscle interacting with the hair follicle epithelium.

Tomonobu Ezure, Kyoichi Matsuzaki, Hidetoshi Urakubo, Nobuhiko Ohno

Abstract read
In one paragraph

Article in Scientific reports, 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. 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

4 authors.

Tomonobu EzureMIRAI Technology Institute, Shiseido Co., Ltd, Yokohama, Kanagawa, Japan. tomonobu.ezure@shiseido.com.
Kyoichi MatsuzakiDepartment of Plastic and Reconstructive Surgery, School of Medicine, International University of Health and Welfare, Narita, Japan.
Hidetoshi UrakuboSection of Electron Microscopy, National Institute for Physiological Sciences, Okazaki, Aichi, Japan.
Nobuhiko OhnoDivision of Ultrastructural Research, National Institute for Physiological Sciences, Okazaki, Aichi, Japan. nohno@nips.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed a three-dimensional ultrastructural analysis application using serial block-face scanning electron microscopy (SBF-SEM) to investigate surgically acquired human skin tissues containing the arrector pili muscle. We utilized the en bloc staining, including reduced osmium, thiocarbohydrazide, and lead aspartate, as well as the embedding using a carbon-based conductive resin. Next, we obtained serial images with SBF-SEM. The results revealed dense nerve fiber networks branching from nearby nerve fiber bundles outside the muscle and running among muscle fibers. Additionally, the dense nerve network running through and along arrector pili muscle fibers rarely penetrates the connective tissues between smooth muscle fibers and epithelial cells. Furthermore, in the observation area, no individual smooth muscle fibers formed adhesion structures with the epithelial cells of the hair follicle, ending in the dermal extracellular matrix near the epithelial cells. These results indicate the usefulness of this approach for three-dimensional ultrastructural analyses of human skin tissues comprising follicular units and revealing structural changes in skin tissues, especially the arrector pili muscle and nerve fibers with hair follicular epithelium, in aging and diseased conditions.

Indexed as

Hair FollicleSkinEpitheliumHumansImaging, Three-DimensionalMaleMicroscopy, Electron, ScanningNerve FibersArrector pili muscleHair follicleNerve fibersSerial block-face scanning electron microscopy

Identifiers

PMID39905217
PMCPMC11794863

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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 OpenQuestion graph.