Evidence map›Paper›PMID 40190624›Full record

ArticleJournal of toxicologic pathology2025

Novel three-dimensional analysis method for accurate evaluation of cutaneous small sensory nerve fibers in mice.

Minori Inanaga- Kojima, Tetsuro Matsuura, Kiyokazu Ozaki

Abstract read
In one paragraph

Article in Journal of toxicologic pathology, 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

3 authors.

Minori Inanaga- KojimaLaboratory of Pathology, Faculty of Pharmaceutical Science, Setsunan University, 45-1 Nagaotohge-cho, Hirakata, Osaka 573-0101, Japan.
Tetsuro MatsuuraLaboratory of Pathology, Faculty of Pharmaceutical Science, Setsunan University, 45-1 Nagaotohge-cho, Hirakata, Osaka 573-0101, Japan.
Kiyokazu OzakiLaboratory of Pathology, Faculty of Pharmaceutical Science, Setsunan University, 45-1 Nagaotohge-cho, Hirakata, Osaka 573-0101, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraepidermal nerve fiber (IENF) density is commonly evaluated to diagnose peripheral neuropathy. However, conventional two-dimensional (2D) analysis using rodent models shows high interstudy variability. Three-dimensional (3D) IENF analysis has been proposed for human skin biopsies because the spatial location of each nerve can be easily determined. However, no studies have compared 2D and 3D analyses of mouse cutaneous nerve fibers under the same conditions. We aimed to establish a more accurate analysis method for mouse cutaneous nerve fibers. We used the glabrous plantar metatarsal skin of male C57BL/6J mice. The middle area of the plantar skin was used for 2D and 3D analyses, and the marginal area was also investigated in the 3D analysis. Tissue transparency, nerve fiber-specific antibodies, confocal microscopy, and IMARIS software were used for the 3D analysis. The 3D analysis clearly defined branching points and continuity, allowing accurate IENF density measurement. Conversely, the 2D analysis could not accurately determine IENF density because it could not detect the continuity of the nerve from the dermis to epidermis. Thus, the actual IENF density from the 3D analysis was significantly less than that from the 2D analysis. In addition, the density and length of IENFs in the middle area were significantly higher than those in the marginal area. This 3D approach enables the precise capture of IENF trajectories with various parameters, establishing a standard method for evaluating peripheral neuropathy models. Furthermore, our findings indicate that comparative studies aiming to analyze mouse IENF need to consider the site of skin sampling.

Indexed as

experimental animalsimmunofluorescence stainingintraepidermal nerve fiber densitythree-dimensional quantification methodtissue transparency technique

Identifiers

PMID40190624
PMCPMC11966124

What Socratic holds

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LicenceCC BY-NC-ND
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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.