Evidence map›Paper›PMID 30849202›Full record

ArticlePigment cell & melanoma research2019

Dyspigmented hypertrophic scars: Beyond skin color.

Abdulnaser Alkhalil, Bonnie C Carney, Taryn E Travis, Seid Muhie, Stacy Ann Miller, Jessica C Ramella-Roman, Pehman Ghassemi, Rasha Hammamieh, Marti Jett, Lauren T Moffatt and 1 more

Abstract read
In one paragraph

Article in Pigment cell & melanoma research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. In-depth examination of hyperproliferative healing in two breeds ofAnimal models and experimental medicine · 2021
    Article
  6. [Research progress on the mechanism of wound skin dys- pigmentation after burns].Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns · 2021
    Review
  7. "Living Well" After Burn Injury: Using Case Reports to Illustrate Significant Contributions From the Burn Model System Research Program.Journal of burn care & research : official publication of the American Burn Association · 2021
    Review
  8. Article
  9. Article
  10. Review
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.

Abdulnaser AlkhalilFirefighters' Burn and Surgical Research Laboratory, MedStar Health Research Institute, Washington, District of Columbia.ORCID 0000-0002-9249-5164
Bonnie C CarneyFirefighters' Burn and Surgical Research Laboratory, MedStar Health Research Institute, Washington, District of Columbia.ORCID 0000-0003-2292-4960
Taryn E TravisFirefighters' Burn and Surgical Research Laboratory, MedStar Health Research Institute, Washington, District of Columbia.
Seid MuhieIntegrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, Maryland.
Stacy Ann MillerIntegrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, Maryland.
Jessica C Ramella-RomanDepartment of Biomedical Engineering, Florida International University, Miami, Florida.
Pehman GhassemiUS Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland.
Rasha HammamiehIntegrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, Maryland.
Marti JettIntegrative Systems Biology, US Army Center for Environmental Health Research, Fort Detrick, Maryland.
Lauren T MoffattFirefighters' Burn and Surgical Research Laboratory, MedStar Health Research Institute, Washington, District of Columbia.
Jeffrey W ShuppFirefighters' Burn and Surgical Research Laboratory, MedStar Health Research Institute, Washington, District of Columbia.

Funding

Novel Imaging System to Objectively Assess the Natural History of Treated and UntR15EB013439 · NIBIB · FLORIDA INTERNATIONAL UNIVERSITY · PI RAMELLA ROMAN, JESSICA C · 2011 to 2011
$409k
NIBIB NIH HHS R15 EB013439NIH HHS 1R15EB013439
6 · The paper itself

Abstract

Although pigment synthesis is well understood, relevant mechanisms of psychologically debilitating dyspigmentation in nascent tissue after cutaneous injuries are still unknown. Here, differences in genomic transcription of hyper- and hypopigmented tissue relative to uninjured skin were investigated using a red Duroc swine scar model. Transcription profiles differed based on pigmentation phenotypes with a trend of more upregulation or downregulation in hyper- or hypopigmented scars, respectively. Ingenuity Pathway Analysis of significantly modulated genes in both pigmentation phenotypes showed pathways related to redox, metabolic, and inflammatory responses were more present in hypopigmented samples, while those related to stem cell development differentiation were found mainly in hyperpigmented samples. Cell-cell and cell-extracellular matrix interactions and inflammation responses were predicted (z-score) active in hyperpigmented and inactive in hypopigmented. The proinflammatory high-mobility group box 1 pathway showed the opposite trend. Analysis of differentially regulated mutually exclusive genes showed an extensive presence of metabolic, proinflammatory, and oxidative stress pathways in hypopigmented scars, while melanin synthesis, glycosaminoglycans biosynthesis, and cell differentiation pathways were predominant in hyperpigmented scar. Several potential therapeutic gene targets have been identified.

Indexed as

ColorAnimalsBiomarkersCicatrix, HypertrophicDisease Models, AnimalHyperpigmentationHypopigmentationMaleSkin PigmentationSwineTranscriptomeWound HealingWounds and InjuriesBiomarkersdyspigmentationred Durocscartranscriptomewound

Identifiers

PMID30849202
PMCPMC6697599

What OpenQuestion holds

Textmetadata
LicenceTDM
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.