Evidence map›Paper›PMID 36232844›Full record

ArticleInternational journal of molecular sciences2022

Selenium-Stimulated Exosomes Enhance Wound Healing by Modulating Inflammation and Angiogenesis.

June Seok Heo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  3. Wound Healing Potential of Selenium and Nanoselenium.Biological trace element research · 2026
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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

1 author at 1 institution in 1 country.

June Seok HeoCell Therapy Center, Severance Hospital, Seoul 03722, Korea.ORCID 0000-0002-8482-0617
Severance Hospital · KR

Funding

National Research Foundation of Korea 2021R1A2C4001872
6 · The paper itself

Abstract

Mesenchymal stem cell (MSC)-derived exosomes have emerged as an attractive cell-free tool in tissue engineering and regenerative medicine. The current study aimed to examine the anti-inflammatory, pro-angiogenic, and wound-repair effects of both exosomes and selenium-stimulated exosomes, and check whether the latter had superior wound healing capacity over others. The cellular and molecular network of exosomes, as a paracrine signal, was extensively studied by performing miRNA arrays to explore the key mediators of exosomes in wound healing. Selenium is known to play a critical role in enhancing the proliferation, multi-potency, and anti-inflammatory effects of MSCs. Selenium-stimulated exosomes showed significant effects in inhibiting inflammation and improving pro-angiogenesis in human umbilical vein endothelial cells. Cell growth and the migration of human dermal fibroblasts and wound regeneration were more enhanced in the selenium-stimulated exosome group than in the selenium and exosome groups, thereby further promoting the wound healing in vivo. Taken together, selenium was found to augment the therapeutic effects of adipose MSC-derived exosomes in tissue regeneration. We concluded that selenium may be considered a vital agent for wound healing in stem cell-based cell-free therapies.

Indexed as

ExosomesMicroRNAsSeleniumCell MovementHumansHuman Umbilical Vein Endothelial CellsInflammationWound HealingMicroRNAsSeleniumangiogenesisexosomeinflammationmesenchymal stem cellseleniumwound healing

Identifiers

PMID36232844
PMCPMC9570007
OpenAlexW4297982441

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.