Evidence map›Paper›PMID 26074660›Full record

ArticleDisease markers2015

Genome-Wide Scan for Methylation Profiles in Keloids.

Lamont R Jones, William Young, George Divine, Indrani Datta, Kang Mei Chen, David Ozog, Maria J Worsham

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Update on the Pathogenesis of Keloid Formation.JID innovations : skin science from molecules to population health · 2024
    Review
  5. Article
  6. Research and practice in thrombosis and haemostasis · 2023
    Article
  7. Article
  8. Review
  9. Epigenetic Dysregulation in Autoimmune and Inflammatory Skin Diseases.Clinical reviews in allergy & immunology · 2022
    Review
  10. Review
  11. Review
  12. OMICS Approaches Evaluating Keloid and Hypertrophic Scars.International journal of inflammation · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  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

7 authors at 3 institutions in 1 country.

Lamont R JonesDepartment of Otolaryngology-Head and Neck Surgery, Henry Ford Hospital, Detroit, MI 48202, USA.
William YoungProliance Eastside ENT, Kirkland, WA 98033, USA.
George DivineDepartment of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA.
Indrani DattaCenter for Bioinformatics, Henry Ford Health System, Detroit, MI 48202, USA.
Kang Mei ChenDepartment of Otolaryngology-Head and Neck Surgery, Henry Ford Hospital, Detroit, MI 48202, USA.
David OzogDepartment of Dermatology, Henry Ford Hospital, Detroit, MI 48202, USA.
Maria J WorshamDepartment of Otolaryngology-Head and Neck Surgery, Henry Ford Hospital, Detroit, MI 48202, USA.
Henry Ford Hospital · USHenry Ford Health System · USProliance Orthopedic Associates · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keloids are benign fibroproliferative tumors of the skin which commonly occur after injury mainly in darker skinned patients. Medical treatment is fraught with high recurrence rates mainly because of an incomplete understanding of the biological mechanisms that lead to keloids. The purpose of this project was to examine keloid pathogenesis from the epigenome perspective of DNA methylation. Genome-wide profiling used the Infinium HumanMethylation450 BeadChip to interrogate DNA from 6 fresh keloid and 6 normal skin samples from 12 anonymous donors. A 3-tiered approach was used to call out genes most differentially methylated between keloid and normal. When compared to normal, of the 685 differentially methylated CpGs at Tier 3, 510 were hypomethylated and 175 were hypermethylated with 190 CpGs in promoter and 495 in nonpromoter regions. The 190 promoter region CpGs corresponded to 152 genes: 96 (63%) were hypomethylated and 56 (37%) hypermethylated. This exploratory genome-wide scan of the keloid methylome highlights a predominance of hypomethylated genomic landscapes, favoring nonpromoter regions. DNA methylation, as an additional mechanism for gene regulation in keloid pathogenesis, holds potential for novel treatments that reverse deleterious epigenetic changes. As an alternative mechanism for regulating genes, epigenetics may explain why gene mutations alone do not provide definitive mechanisms for keloid formation.

Indexed as

DNA MethylationGenome, HumanCase-Control StudiesCpG IslandsEpigenesis, GeneticGene Expression RegulationHumansKeloidMolecular Sequence DataPromoter Regions, Genetic

Identifiers

PMID26074660
PMCPMC4446486
OpenAlexW1493305214

What OpenQuestion holds

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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.