Evidence map›Paper›PMID 39456430›Full record

ArticleAntioxidants (Basel, Switzerland)2024

Differential Nitric Oxide Responses in Primary Cultured Keratinocytes and Fibroblasts to Visible and Near-Infrared Light.

Augustin C Barolet, Brice Magne, Daniel Barolet, Lucie Germain

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2024. 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
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.

  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

4 authors.

Augustin C BaroletCentre de Recherche en Organogénèse Expérimentale de l'Université Laval/LOEX, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0003-3919-2890
Brice MagneCentre de Recherche en Organogénèse Expérimentale de l'Université Laval/LOEX, Université Laval, Quebec City, QC G1V 0A6, Canada.
Daniel BaroletRoseLab Skin Optics Research Laboratory, Laval, QC H7T 0G3, Canada.
Lucie GermainCentre de Recherche en Organogénèse Expérimentale de l'Université Laval/LOEX, Université Laval, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0001-8883-6491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NO is a crucial signaling molecule involved in skin health, the immune response, and the protection against environmental stressors. This study explores how different wavelengths of light, namely blue (455 nm), red (660 nm), and near infrared (NIR, 850 nm), affect nitric oxide (NO) production in skin cells. Primary keratinocytes and fibroblasts from three donors were exposed to these wavelengths, and NO production was quantified using a DAF-FM fluorescent probe. The results demonstrated that all three wavelengths stimulated NO release, with blue light showing the most pronounced effect. Specifically, blue light induced a 1.7-fold increase in NO in keratinocytes compared to red and NIR light and a 2.3-fold increase in fibroblasts compared to red light. Notably, fibroblasts exposed to NIR light produced 1.5 times more NO than those exposed to red light, while keratinocytes consistently responded more robustly across all wavelengths. In conclusion, blue light significantly boosts NO production in both keratinocytes and fibroblasts, making it the most effective wavelength. Red and NIR light, while less potent, also promote NO production and could serve as complementary therapeutic options, particularly for minimizing potential photoaging effects.

Indexed as

4,5-diaminofluorescein (DAF)fibroblastskeratinocytesnear-infrared lightnitric oxidephotobiomodulationskinvisible light

Identifiers

PMID39456430
PMCPMC11504005

What OpenQuestion 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 OpenQuestion graph.