Evidence map›Paper›PMID 32084158›Full record

ArticlePloS one2020

Genome wide analysis of gene expression changes in skin from patients with type 2 diabetes.

Eri Takematsu, Adrianne Spencer, Jeff Auster, Po-Chih Chen, Annette Graham, Patricia Martin, Aaron B Baker

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  13. Emerging Roles of Long Non-Coding RNAs in Diabetic Foot Ulcers.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Review
  14. Review
  15. Article
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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

7 authors.

Eri TakematsuUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, TX.
Adrianne SpencerUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, TX.
Jeff AusterUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, TX.
Po-Chih ChenUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, TX.
Annette GrahamDepartment of Biological and Biomedical Sciences, School of Health and Life Sciences, Glasgow Caledonian University, Scotland, United Kingdom.
Patricia MartinDepartment of Biological and Biomedical Sciences, School of Health and Life Sciences, Glasgow Caledonian University, Scotland, United Kingdom.
Aaron B BakerUniversity of Texas at Austin, Department of Biomedical Engineering, Austin, TX.

Funding

Mechanical Conditioning of Mesenchymal Stem Cells for Enhanced Recellularized Vascular GraftsR01HL141761 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI BAKER, AARON BLAIR · 2018 to 2021
$1.6M
Syndecan-1 in Mechanosensing of Engineered MicroenvironmentsR21EB023551 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI BAKER, AARON BLAIR · 2017 to 2018
$450k
Glycocalyx Mimetic Polysaccharides as Therapeutics for AtherosclerosisR21EB024147 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI BAKER, AARON BLAIR · 2017 to 2018
$430k
NHLBI NIH HHS R01 HL141761NIBIB NIH HHS R21 EB023551NIBIB NIH HHS R21 EB024147
6 · The paper itself

Abstract

Non-healing chronic ulcers are a serious complication of diabetes and are a major healthcare problem. While a host of treatments have been explored to heal or prevent these ulcers from forming, these treatments have not been found to be consistently effective in clinical trials. An understanding of the changes in gene expression in the skin of diabetic patients may provide insight into the processes and mechanisms that precede the formation of non-healing ulcers. In this study, we investigated genome wide changes in gene expression in skin between patients with type 2 diabetes and non-diabetic patients using next generation sequencing. We compared the gene expression in skin samples taken from 27 patients (13 with type 2 diabetes and 14 non-diabetic). This information may be useful in identifying the causal factors and potential therapeutic targets for the prevention and treatment of diabetic related diseases.

Indexed as

Gene ExpressionGenome, HumanAdultAgedAged, 80 and overCalcium SignalingDiabetes Mellitus, Type 2FemaleGene Expression RegulationHumansInflammationMaleMiddle AgedPseudogenesRNA, Long NoncodingSequence Analysis, RNARNA, Long Noncoding

Identifiers

PMID32084158
PMCPMC7034863

What Socratic 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 Socratic graph.