Evidence map›Paper›PMID 35464754›Full record

ArticleDermatology journal2021

Upregulation of long noncoding RNA growth arrest-specific 5 mediates pro-inflammatory mechanisms of diabetic wound healing impairment.

Shaquia Idlett-Ali, Kenneth Liechty, Junwang Xu

Open access · greenAbstract read
In one paragraph

Article in Dermatology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 69% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Shaquia Idlett-AliLaboratory for Fetal and Regenerative Biology, Department of Surgery, University of Colorado, Denver-Anschutz Medical Campus and Children's Hospital of Colorado, Aurora, Colorado 80045, USA.
Kenneth LiechtyLaboratory for Fetal and Regenerative Biology, Department of Surgery, University of Colorado, Denver-Anschutz Medical Campus and Children's Hospital of Colorado, Aurora, Colorado 80045, USA.
Junwang XuDepartment of Physiology, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA.
University of Tennessee Health Science Center · US

Funding

The role of long non-coding RNA GAS5 in diabetic woundsR01GM128660 · NIGMS · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI XU, JUNWANG · 2019 to 2023
$1.5M
NIGMS NIH HHS R01 GM128660
6 · The paper itself

Abstract

Unresolved inflammatory processes contribute to impaired healing in diabetic wounds, with increasing evidence implicating persistent pro-inflammatory macrophage polarization as a driver of chronic inflammation and delayed wound closure. Previous investigations aimed to uncover the role of regulatory RNAs in macrophage polarization and to understand how aberrant expression patterns contribute to wound healing impairment, with the goal of identifying novel therapeutic targets for promoting normal wound healing progression. In the Journal of Investigative Dermatology, Hu et al. reveal a role of the tumor suppressor, long noncoding RNA (lncRNA) Growth Arrest-Specific 5 (GAS5), in regulating macrophage polarization. Of note, their findings suggest that hyperglycemia induces overexpression of GAS5 which subsequently results in a greater production of the pro-inflammatory macrophage phenotype. Knockdown of GAS5 in diabetic wounds normalized healing time, highlighting the potential therapeutic value of targeting GAS5 for enhanced wound healing progression.

Indexed as

DiabeteslncRNA GAS5Macrophage polarizationWound healing

Identifiers

PMID35464754
PMCPMC9027011
OpenAlexW4244068198

What OpenQuestion holds

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LicenceCC BY
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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.