Photodynamic Activity on Biofilm in Endotracheal Tubes of Patients Admitted to an Intensive Care Unit.
Rosane Bassi SoaresDenis Honorato CostaWalter MiyakawaMaria Goretti Temoteo DelgadoAguinaldo Silva GarcezTania Mateus YoshimuraMartha Simões RibeiroSilvia Cristina NúñezPublished in: Photochemistry and photobiology (2020)
Ventilator-associated pneumonia (VAP) is an infection that arises after endotracheal intubation affecting patients under intensive care. The presence of the endotracheal tube (ETT) is a risk factor since it is colonized by multispecies biofilm. Antimicrobial photodynamic therapy (aPDT) could be a strategy to decontaminate ETTs. We verify if methylene blue (MB) associated with external illumination of the ETT could be an alternative to destroy biofilm. We performed an in vitro and ex vivo study. In vitro study was performed with P. aeruginosa biofilm grew over ETT for 7 days. After treatment, the surviving cells were cultured for 3 days and the biofilm was analyzed by crystal violet absorbance. Ex vivo study employed ETT obtained from extubated patients. aPDT was performed with MB (100 µm) and red LED (λ = 640±20 nm). We quantified the biofilm thickness and used scanning electron microscopy and fluorescence technique to verify morphological and functional changes after aPDT. Our results showed that bacteria remain susceptible to aPDT after sequential treatments. We also attested that aPDT can reduce biofilm thickness, disrupt biofilm attachment from ETT surface and kill microbial cells. These data suggest that aPDT should be investigated to decrease VAP incidence via ETT decontamination.
Keyphrases
- staphylococcus aureus
- pseudomonas aeruginosa
- candida albicans
- biofilm formation
- photodynamic therapy
- end stage renal disease
- intensive care unit
- ejection fraction
- induced apoptosis
- newly diagnosed
- chronic kidney disease
- risk factors
- cystic fibrosis
- electron microscopy
- prognostic factors
- peritoneal dialysis
- microbial community
- escherichia coli
- cardiac arrest
- optical coherence tomography
- drug delivery
- machine learning
- cell cycle arrest
- oxidative stress
- cancer therapy
- cell death
- big data
- cell proliferation
- respiratory failure