Evidence map›Paper›PMID 25006578›Full record

ArticleBioMed research international2014

NGF accelerates cutaneous wound healing by promoting the migration of dermal fibroblasts via the PI3K/Akt-Rac1-JNK and ERK pathways.

Ji-Cai Chen, Bei-Bei Lin, Hou-Wen Hu, Cai Lin, Wen-Yang Jin, Fa-Biao Zhang, Yan-An Zhu, Cai-Jiao Lu, Xiao-Jie Wei, Rui-Jie Chen

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% of its field
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. TotalInternational journal of molecular sciences · 2025
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  5. Article
  6. Article
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  9. Analytical cellular pathology (Amsterdam) · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Role of NGF and its receptors in wound healing (Review).Experimental and therapeutic medicine · 2021
    Review
  16. Article
  17. Article
  18. Differential proteomics analysis of serum exosomein burn patients.Saudi journal of biological sciences · 2020
    Article
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Ji-Cai ChenDepartment of Gastrointestinal Surgery, The First Affiliate Hospital, Wenzhou Medical University, Wenzhou 325035, China.
Bei-Bei LinSchool of Pharmacy, Wenzhou Medical University, Wenzhou 325035, China.
Hou-Wen HuSchool of Pharmacy, Wenzhou Medical University, Wenzhou 325035, China.
Cai LinWound Treatment Center, The First Affiliate Hospital, Wenzhou Medical University, Wenzhou 325000, China.
Wen-Yang JinEmergency Department, Taizhou Hospital, Wenzhou Medical University, Taizhou 318000, China.
Fa-Biao ZhangEmergency Department, Taizhou Hospital, Wenzhou Medical University, Taizhou 318000, China.
Yan-An ZhuEmergency Department, Taizhou Hospital, Wenzhou Medical University, Taizhou 318000, China.
Cai-Jiao LuWound Treatment Center, The First Affiliate Hospital, Wenzhou Medical University, Wenzhou 325000, China.
Xiao-Jie WeiTranslation Medicine Research Center, Cixi People's Hospital, Wenzhou Medical University, Ningbo 315300, China.
Rui-Jie ChenDepartmant of Pharmacy, The Second Affiliate Hospital, Wenzhou Medical University, Wenzhou 325000, China.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a well-known neurotrophic factor, nerve growth factor (NGF) has also been extensively recognized for its acceleration of healing in cutaneous wounds in both animal models and randomized clinical trials. However, the underlying mechanisms accounting for the therapeutic effect of NGF on skin wounds are not fully understood. NGF treatment significantly accelerated the rate of wound healing by promoting wound reepithelialization, the formation of granulation tissue, and collagen production. To explore the possible mechanisms of this process, the expression levels of CD68, VEGF, PCNA, and TGF-β1 in wounds were detected by immunohistochemical staining. The levels of these proteins were all significantly raised in NGF-treated wounds compared to untreated controls. NGF also significantly promoted the migration, but not the proliferation, of dermal fibroblasts. NGF induced a remarkable increase in the activity of PI3K/Akt, JNK, ERK, and Rac1, and blockade with their specific inhibitors significantly impaired the NGF-induced migration. In conclusion, NGF significantly accelerated the healing of skin excisional wounds in rats and the fibroblast migration induced by NGF may contribute to this healing process. The activation of PI3K/Akt, Rac1, JNK, and ERK were all involved in the regulation of NGF-induced fibroblast migration.

Indexed as

AnimalsAntigens, CDAntigens, Differentiation, MyelomonocyticCD68 MoleculeCell MovementCell ProliferationCells, CulturedCollagenDermisEpitheliumExtracellular Signal-Regulated MAP KinasesFibroblastsGranulation TissueHumansJNK Mitogen-Activated Protein KinasesMaleAntigens, CDAntigens, Differentiation, MyelomonocyticCD68 antigen, humanCD68 MoleculeCollagenExtracellular Signal-Regulated MAP KinasesJNK Mitogen-Activated Protein KinasesNerve Growth FactorPhosphatidylinositol 3-KinasesProliferating Cell Nuclear AntigenProto-Oncogene Proteins c-aktrac1 GTP-Binding ProteinTransforming Growth Factor beta1Vascular Endothelial Growth Factor A

Identifiers

PMID25006578
PMCPMC4055427
OpenAlexW2089681783

What OpenQuestion 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 OpenQuestion graph.