Optimizing Red Light-Based Photodynamic Therapy for Effective Bactericidal Action Against Fusobacterium nucleatum Subspecies

<i>Fusobacterium nucleatum</i> (<i>F. nucleatum</i>), a key pathogen implicated in periodontal disease, contributes to oral biofilm maturation and is linked to development of systemic diseases like colorectal cancer and liver cirrhosis. Photodynamic therapy (PDT) combined with 5-aminolevulinic acid (5-ALA) treatment (ALA-PDT) selectively targets <i>F. nucleatum</i> by inducing porphyrin accumulation. The bactericidal effect of red light-based PDT on <i>F. nucleatum</i> has not been evaluated previously. This study investigates the effect of ALA-PDT using red light-emitting diode (LED) light on <i>F. nucleatum</i> subspecies and their porphyrin accumulation. <i>F. nucleatum</i> subspecies were cultured with varying concentrations of 5-ALA under anaerobic conditions. Porphyrin accumulation was measured via fluorescence spectroscopy, and colony-forming units were measured to determine bacterial viability post-treatment. Additionally, other subspecies responded well to 0.01% 5-ALA, and uroporphyrin I accumulation correlated with bacterial death, revealing optimal bactericidal conditions. These results suggest that optimizing light intensity and 5-ALA concentration can significantly enhance the therapeutic potential of ALA-PDT in oral healthcare.

Authors

Institutions

Publication Details

Journal
Pathogens
Published
2024-11-19
DOI
https://doi.org/10.3390/pathogens13111016
Citations
2
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Red Light-Based Photodynamic Therapy for Effective Bactericidal Action Against Fusobacterium nucleatum Subspecies

Chiho Mashimo, Takayuki Nambu, Toshinori Okinaga, Hugo Maruyama et al.
2 citations
Pathogens
Oral microbiology and periodontitis research
0.80
article

Optimizing Red Light-Based Photodynamic Therapy for Effective Bactericidal Action Against Fusobacterium nucleatum Subspecies

Chiho Mashimo, Takayuki Nambu, Toshinori Okinaga, Hugo Maruyama, Jianglan Li, Hiroki Takigawa, Chao Wang
article en
2 citations

Abstract

<i>Fusobacterium nucleatum</i> (<i>F. nucleatum</i>), a key pathogen implicated in periodontal disease, contributes to oral biofilm maturation and is linked to development of systemic diseases like colorectal cancer and liver cirrhosis. Photodynamic therapy (PDT) combined with 5-aminolevulinic acid (5-ALA) treatment (ALA-PDT) selectively targets <i>F. nucleatum</i> by inducing porphyrin accumulation. The bactericidal effect of red light-based PDT on <i>F. nucleatum</i> has not been evaluated previously. This study investigates the effect of ALA-PDT using red light-emitting diode (LED) light on <i>F. nucleatum</i> subspecies and their porphyrin accumulation. <i>F. nucleatum</i> subspecies were cultured with varying concentrations of 5-ALA under anaerobic conditions. Porphyrin accumulation was measured via fluorescence spectroscopy, and colony-forming units were measured to determine bacterial viability post-treatment. Additionally, other subspecies responded well to 0.01% 5-ALA, and uroporphyrin I accumulation correlated with bacterial death, revealing optimal bactericidal conditions. These results suggest that optimizing light intensity and 5-ALA concentration can significantly enhance the therapeutic potential of ALA-PDT in oral healthcare.

PathogensVol. 13(11)
Southern Medical University (CN), Osaka Dental University (JP)
Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 26%
Oral microbiology and periodontitis research
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.