ArticleLasers in medical science2026
Curcumin-mediated antimicrobial photodynamic therapy prevents Candida biofilm formation in a species-dependent manner.
Article in Lasers in medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The Impact of Antimicrobial Photodynamic Therapy (aPDT) with Various Photosensitizers on the Bond Strength of Orthodontic Brackets.Journal of lasers in medical sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to systematically evaluate the antibiofilm efficacy of curcumin-mediated antimicrobial photodynamic therapy (aPDT) activated by 450 nm LED light against biofilm formation and mature biofilms of clinically relevant Candida species, with particular emphasis on preventive potential and species-dependent susceptibility; Biofilm formation and maturation were investigated in five standard Candida strains. Biofilm formation (preventive approach) and established biofilms were treated with curcumin followed by irradiation with 450 nm LED light. Biofilm biomass was quantitatively assessed using the crystal violet assay. Comparative analyses were performed to determine species-dependent responses to aPDT. Data normality was assessed using the Shapiro-Wilk test, and intergroup comparisons were performed using the Kruskal-Wallis test followed by Dunn's post hoc test when appropriate. All Candida strains demonstrated a pronounced ability to form biofilms, being classified as strong biofilm producers, except Candida dubliniensis, which exhibited moderate biofilm formation. Curcumin-mediated aPDT significantly inhibited biofilm development across all tested species (p < 0.05), achieving reductions of 86.82% for C. metapsilosis, 85.05% for C. orthopsilosis, 83.33% for C. parapsilosis, 75.34% for C. dubliniensis, and 68.19% for C. albicans. This preventive antibiofilm effect is likely associated with reactive oxygen species generation, resulting in oxidative damage to essential cellular structures and impairment of early extracellular matrix establishment. In contrast, aPDT activity against mature biofilms was significantly attenuated and highly species-dependent, with reductions ranging from 49.63% (C. parapsilosis) to 0.64% (C. dubliniensis); however, these reductions were not statistically significant (p > 0.05). Curcumin-mediated aPDT exerted a significant preventive antibiofilm effect against Candida biofilm formation but showed limited and non-significant activity against mature biofilms. These findings position curcumin-mediated aPDT as a promising strategy for preventing Candida biofilm establishment, while indicating that improved photosensitizer delivery and optimized irradiation protocols are required to enhance activity against established biofilms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.