Evidence map›Paper›PMID 40804315›Full record

ArticleScientific reports2025

Hair follicle transplantation promotes skin ulcer healing in a mouse model of experimental diabetes.

Qian Hu, Xue Peng, Yuqian Yang, Zhongshan Liu

Abstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Qian Hu *Department of Plastic and Burns, The Affiliated Hospital of Guizhou Medical University, Guizhou, People's Republic of China.
Xue Peng *Department of Plastic and Burns, The Affiliated Hospital of Guizhou Medical University, Guizhou, People's Republic of China.
Yuqian YangDepartment of Plastic and Burns, The Affiliated Hospital of Guizhou Medical University, Guizhou, People's Republic of China.
Zhongshan LiuDepartment of Plastic and Burns, The Affiliated Hospital of Guizhou Medical University, Guizhou, People's Republic of China. 179417304@qq.com.

Funding

CHN national natural science foundation 82060352Guizhou Provincial Department of Science and Technology's Basic Research Program QKHJC-ZK[2025]-469
6 · The paper itself

Abstract

Chronic nonhealing wounds are complex complications of diabetes and are characterized by impaired vascular networks and persistent inflammation, making them challenging to treat. Studies have demonstrated that hair follicles possess tissue regenerative potential; however, their role in diabetic wounds remains unclear. This study aimed to investigate the impact of blood glucose levels on hair follicle activity and compare the effects of hair follicle transplantation under hyperglycemic and normoglycemic conditions on full-thickness skin wound healing in both normal and diabetic mice. The results revealed that hyperglycemia inhibited hair follicle activity. Nevertheless, hair follicle transplantation under both hyperglycemic and normoglycemic conditions promoted granulation tissue formation, collagen remodeling, and angiogenesis while reducing chronic inflammation, thereby enhancing the healing quality of diabetic wounds. Notably, hair follicles derived from normoglycemic conditions were more effective at promoting diabetic wound healing. This study provides an innovative strategy for skin regeneration in the treatment of diabetic wounds.

Indexed as

Diabetes Mellitus, ExperimentalHair FollicleSkin UlcerWound HealingAnimalsBlood GlucoseDisease Models, AnimalMaleMiceMice, Inbred C57BLSkinBlood GlucoseDiabetic woundHair folliclesHair follicle stem cellsHair follicle transplantationWound healing

Identifiers

PMID40804315
PMCPMC12350790

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.