Evidence map›Paper›PMID 39954051›Full record

ReviewCell and tissue research2025

The role and mechanism of Schwann cells in the repair of peripheral nerve injury.

Huiyue Xu, Zhipeng Fan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell and tissue research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

2 authors.

Huiyue XuBeijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Zhipeng FanBeijing Key Laboratory of Tooth Regeneration and Function Reconstruction, School of Stomatology, Beijing Stomatological Hospital, Capital Medical University, Beijing, China. zpfan@ccmu.edu.cn.

Funding

CAMS Innovation Fund for Medical Sciences 2019-I2M-5-031National Key Research and Development Program of China 2022YFA1104401Natural Science Foundation of Beijing Municipality 7222075
6 · The paper itself

Abstract

Limb injuries such as severe strains, deep cuts, gunshot wounds, and ischemia can cause peripheral nerve damage. This can result in a range of clinical symptoms including sensory deficits, limb paralysis and atrophy, neuralgia, and sweating abnormalities in the innervated areas affected by the damaged nerves. These symptoms can have a significant impact on patients' daily lives and work. Despite existing clinical treatments, some patients cannot achieve satisfactory therapeutic effects and continue to experience persistent paralysis and pain. Schwann cells are responsible for repairing and regenerating damaged nerves in the peripheral nervous system. They play a crucial role in the healing of nerve injuries and are essential for the restoration of proper nerve function. An increasing number of studies have focused on the various regulatory mechanisms that specifically affect the repair of damage by Schwann cells. This article aims to provide information on the different types of peripheral nerve injuries and their available treatments. We also discuss the various molecular mechanisms that regulate Schwann cell function during peripheral nerve repair and how they can be used to promote nerve repair and regeneration. Furthermore, we explore the potential therapeutic applications of precision regulation of Schwann cells for the treatment of peripheral nerve injuries.

Indexed as

Nerve RegenerationPeripheral Nerve InjuriesSchwann CellsAnimalsHumansEpigenetic regulationIntercellular crosstalkNerve regenerationPeripheral nerve injurySchwann cell

Identifiers

What OpenQuestion holds

Textmetadata
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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.