Evidence map›Paper›PMID 41188307›Full record

ArticleScientific reports2025

Red and near-infrared light treatment can change the intensity of biophoton emissions in cell culture.

Jaimie Hoh Kam, Romain Clément, Tigrane Cantat-Moltrecht, Malvina Billères, John Mitrofanis

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

5 authors.

Jaimie Hoh KamUniversité Grenoble Alpes, Fonds Clinatec, Grenoble, France. jaimie.hoh@gmail.com.
Romain ClémentUniversité Grenoble Alpes, Fonds Clinatec, Grenoble, France.
Tigrane Cantat-MoltrechtUniversité Grenoble Alpes, Fonds Clinatec, Grenoble, France.
Malvina BillèresUniversité Grenoble Alpes, Fonds Clinatec, Grenoble, France.
John MitrofanisUniversité Grenoble Alpes, Fonds Clinatec, Grenoble, France.

Funding

Fondation COVEA France 0000
6 · The paper itself

Abstract

We explored the patterns of biophoton-ultra-weak light made by cells-emissions in Neuro-2a cells and astrocytes in culture. Biophotons were detected using a photomultiplier as a single photon counter. We measured intensity of emissions when healthy (and at rest), stressed with toxins (sodium troclosene or rotenone) and/or treated with red and near infrared light (R-NIr). We measured ATP (adenosine triphosphate) and ROS (reactive oxygen species) levels also. Our results showed that emissions from Neuro-2a cells and astrocytes were similar when both healthy and stressed. Both cell types emitted biophotons at low intensities when healthy (~ 12 photons/s), but this changed markedly under stress. The extent of change was however, dependant on the stressor involved; at the concentrations we used, sodium troclosene increased emissions, while rotenone had a far more limited impact. Finally, we showed that R-NIr did not influence emissions when healthy, but did so when stressed, particularly with sodium troclosene. Under our experimental time-lines, these emission patterns under different conditions did not relate uniformly to the changes in ATP and ROS levels. In summary, we found that biophoton emissions did not readily define cell type, but could-under some circumstances-be reflective of cell health. Further, that R-NIr could influence these emissions, particularly under stress.

Indexed as

AstrocytesInfrared RaysPhotonsAdenosine TriphosphateAnimalsCell LineLightMiceReactive Oxygen SpeciesRotenoneAdenosine TriphosphateReactive Oxygen SpeciesRotenoneAstrocytesNeuro-2aPhotobiomodulationPhotomultipliersUltra-weak photon emission

Identifiers

PMID41188307
PMCPMC12586570

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LicenceCC BY-NC-ND
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Registered trials

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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.