↓ Skip to main content

Direct biological effects of fractional ultrapulsed CO2 laser irradiation on keratinocytes and fibroblasts in human organotypic full-thickness 3D skin models

Overview of attention for article published in Lasers in Medical Science, December 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
41 Mendeley
Title
Direct biological effects of fractional ultrapulsed CO2 laser irradiation on keratinocytes and fibroblasts in human organotypic full-thickness 3D skin models
Published in
Lasers in Medical Science, December 2017
DOI 10.1007/s10103-017-2409-1
Pubmed ID
Authors

L. Schmitt, S. Huth, P. M. Amann, Y. Marquardt, R. Heise, K. Fietkau, L. Huth, T. Steiner, F. Hölzle, J.M. Baron

Abstract

Molecular effects of various ablative and non-ablative laser treatments on human skin cells-especially primary effects on epidermal keratinocytes and dermal fibroblasts-are not yet fully understood. We present the first study addressing molecular effects of fractional non-sequential ultrapulsed CO2 laser treatment using a 3D skin model that allows standardized investigations of time-dependent molecular changes ex vivo. While histological examination was performed to assess morphological changes, we utilized gene expression profiling using microarray and qRT-PCR analyses to identify molecular effects of laser treatment. Irradiated models exhibited dose-dependent morphological changes resulting in an almost complete recovery of the epidermis 5 days after irradiation. On day 5 after laser injury with a laser fluence of 100 mJ/cm2, gene array analysis identified an upregulation of genes associated with tissue remodeling and wound healing (e.g., COL12A1 and FGF7), genes that are involved in the immune response (e.g., CXCL12 and CCL8) as well as members of the heat shock protein family (e.g., HSPB3). On the other hand, we detected a downregulation of matrix metalloproteinases (e.g., MMP3), differentiation markers (e.g., LOR and S100A7), and the pro-inflammatory cytokine IL1α.Overall, our findings substantiate the understanding of time-dependent molecular changes after CO2 laser treatment. The utilized 3D skin model system proved to be a reliable, accurate, and reproducible tool to explore the effects of various laser settings both on skin morphology and gene expression during wound healing.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Student > Bachelor 5 12%
Student > Master 5 12%
Other 4 10%
Student > Doctoral Student 3 7%
Other 8 20%
Unknown 11 27%
Readers by discipline Count As %
Medicine and Dentistry 16 39%
Engineering 3 7%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Physics and Astronomy 1 2%
Other 5 12%
Unknown 13 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2017.
All research outputs
#18,579,736
of 23,012,811 outputs
Outputs from Lasers in Medical Science
#880
of 1,318 outputs
Outputs of similar age
#327,576
of 440,049 outputs
Outputs of similar age from Lasers in Medical Science
#30
of 39 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,318 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.