Evidence map›Paper›PMID 36518227›Full record

ArticleFrontiers in surgery2022

Extracellular vesicles derived from fibroblasts induced with or without high glucose exert opposite effects on wound healing and angiogenesis.

Xiaowei Bian, Bingmin Li, Haowen Tang, Qiankun Li, Wenzhi Hu, Qian Wei, Kui Ma, Yuguang Yang, Haihong Li, Xiaobing Fu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Automated High-Throughput Live Cell Monitoring of Scratch Wound Closure.Biomedical engineering and computational biology · 2024
    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

11 authors at 3 institutions in 1 country.

Xiaowei BianResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Bingmin LiResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Haowen TangDepartment of Hepatobiliary Surgery, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Qiankun LiResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Wenzhi HuResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Qian WeiResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Kui MaResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Yuguang YangDepartment of Hepatobiliary Surgery, First Medical Center of Chinese PLA General Hospital, Beijing, China.
Haihong LiDepartment of Wound Repair, Institute of Wound Repair and Regeneration Medicine, Southern University of Science and Technology Hospital, Southern University of Science and Technology School of Medicine, Shenzhen, China.
Xiaobing FuResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Cuiping ZhangResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Communication between fibroblasts and endothelial cells is essential for skin wound repair and regeneration. Extracellular vesicles (EVs) are crucial for intracellular communication by transporting active molecules. However, whether EVs derived from diabetic fibroblasts can perform the nomal communication function is unclear. Here, we compared the effects of EVs from human skin fibroblasts (HSFs) induced with or without HG on the angiogenic function of endothelial cells and wound healing. Methods: We first collected EVs from HSFs cultured with normal glucose concentration (NG-EVs) or with HG concentration (HG-EVs) and applied them to treat human umbilical vein endothelial cells (HUVECs). The cells were divided into three groups: control group, NG-EVs group, and HG-EVs group. We then examined the proliferation, migration, apoptosis, and tube formation of HUVECs. To illustrate the mechanism, the expression of β-catenin, GSK-3β, and p-GSK-3β was detected by western-blot. Finally, NG-EVs or HG-EVs were used to treat the wounds of mice to determine their role in wound closure. Results: By DNA content detection, Annexin V/PI staining, and EdU staining, we found that NG-EVs promoted HUVEC proliferation, while HG-EVs exhibited an opposite effect ( Conclusion: NG-EVs and HG-EVs exert opposite effects on wound healing and angiogenesis possibly by regulating GSK-3β/β-catenin signaling pathway. This research may provide a new treatment strategy for wound healing and illustrate the mechanism for impaired angiogenesis in diabetics.

Indexed as

angiogenesisendothelial cellsextracellular vesiclesfibroblastshigh glucosewound healing

Identifiers

PMID36518227
PMCPMC9742241
OpenAlexW4310264653

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.