Phthalocyanine derivative as an antimicrobial agent against periodontitis-related multispecies biofilms
Why this work is in the frame
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Bibliographic record
Abstract
The activity of iron tetracarboxyphthalocyanine (FeTcPc) was investigated in the formation of subgingival biofilm by bacterial species associated with periodontal disease. A multispecies biofilm model was developed using the Calgary biofilm device and incubated at 37 °C under anaerobic conditions for 7 days. Starting from day 3, the biofilm was treated with FeTcPc twice daily for one minute over four days, at concentrations ranging from 1,000 to 10,000 μM. Chlorhexidine at 0.12% and the vehicle used to dissolve the test agent, phosphate-buffered saline (PBS), served as positive and negative controls, respectively. After 7 days, the biofilm metabolic activity was measured using 2,3,5-triphenyl tetrazolium chloride (TTC) to differentiate metabolically active cells from inactive ones. Finally, the microbial profile of the treated biofilm was assessed using the DNA-DNA hybridisation method. FeTcPc at 10,000 μM and chlorhexidine treatments reduced the total bacterial counts, without a significant difference from each other. Additionally, FeTcPc at 10,000 μM inhibited the growth of 7 microorganisms when compared with the negative control, highlighting effects on Porphyromonas gingivalis, Tannerella forsythia and Fusobacterium nucleatum vincentii. The study demonstrated that FeTcPc, at a concentration of 10,000 μM, was as effective as chlorhexidine (0.12%) in reducing the total bacterial counts and well-recognised periodontal pathogens levels in the subgingival biofilm, highlighting the potential of FeTcPc as an alternative to conventional periodontal treatments. These findings indicate that FeTcPc has a promising impact on the inhibition of key bacteria involved in periodontal disease, which may open new perspectives for targeted and less aggressive therapies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it