↓ Skip to main content

Photobiomodulation of the microbiome: implications for metabolic and inflammatory diseases

Overview of attention for article published in Lasers in Medical Science, August 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 1,418)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
99 Mendeley
Title
Photobiomodulation of the microbiome: implications for metabolic and inflammatory diseases
Published in
Lasers in Medical Science, August 2018
DOI 10.1007/s10103-018-2594-6
Pubmed ID
Authors

Brian Bicknell, Ann Liebert, Daniel Johnstone, Hosen Kiat

Abstract

The human microbiome is intimately associated with human health, with a role in obesity, metabolic diseases such as type 2 diabetes, and divergent diseases such as cardiovascular and neurodegenerative diseases. The microbiome can be changed by diet, probiotics, and faecal transplants, which has flow-on effects to health outcomes. Photobiomodulation has a therapeutic effect on inflammation and neurological disorders (amongst others) and has been reported to influence metabolic disorders and obesity. The aim of this study was to examine the possibility that PBM could influence the microbiome of mice. Mice had their abdomen irradiated with red (660 nm) or infrared (808 nm) low-level laser, either as single or multiple doses, over a 2-week period. Genomic DNA extracted from faecal pellets was pyrosequenced for the 16S rRNA gene. There was a significant (p < 0.05) difference in microbial diversity between PBM- and sham-treated mice. One genus of bacterium (Allobaculum) significantly increased (p < 0.001) after infrared (but not red light) PBM by day 14. Despite being a preliminary trial with small experimental numbers, we have demonstrated for the first time that PBM can alter microbiome diversity in healthy mice and increase numbers of Allobaculum, a bacterium associated with a healthy microbiome. This change is most probably a result of PBMt affecting the host, which in turn influenced the microbiome. If this is confirmed in humans, the possibility exists for PBMt to be used as an adjunct therapy in treatment of obesity and other lifestyle-related disorders, as well as cardiovascular and neurodegenerative diseases. The clinical implications of altering the microbiome using PBM warrants further investigation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 12%
Researcher 10 10%
Student > Bachelor 9 9%
Other 7 7%
Lecturer 6 6%
Other 13 13%
Unknown 42 42%
Readers by discipline Count As %
Medicine and Dentistry 17 17%
Nursing and Health Professions 6 6%
Agricultural and Biological Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Neuroscience 5 5%
Other 15 15%
Unknown 45 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 10 May 2024.
All research outputs
#843,376
of 25,880,948 outputs
Outputs from Lasers in Medical Science
#7
of 1,418 outputs
Outputs of similar age
#17,543
of 343,339 outputs
Outputs of similar age from Lasers in Medical Science
#1
of 34 outputs
Altmetric has tracked 25,880,948 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,418 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 99% of its peers.
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 343,339 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.