Propolis Affects Pseudomonas aeruginosa Growth, Biofilm Formation, eDNA Release and Phenazine Production: Potential Involvement of Polyphenols.
Aida MetoBruna ColombariAgron MetoGiorgia BoarettoDiego PinettiLucia MarchettiStefania BenvenutiFederica PellatiElisabetta BlasiPublished in: Microorganisms (2020)
Pseudomonas aeruginosa (P. aeruginosa) is an opportunistic pathogen responsible for a wide range of clinical conditions, from mild infections to life-threatening nosocomial biofilm-associated diseases, which are particularly severe in susceptible individuals. The aim of this in vitro study was to assess the effects of an Albanian propolis on several virulence-related factors of P. aeruginosa, such as growth ability, biofilm formation, extracellular DNA (eDNA) release and phenazine production. To this end, propolis was processed using three different solvents and the extracted polyphenolic compounds were identified by means of high performance liquid chromatography coupled to electrospray ionization mass spectrometry (HPLC-ESI-MS) analysis. As assessed by a bioluminescence-based assay, among the three propolis extracts, the ethanol (EtOH) extract was the most effective in inhibiting both microbial growth and biofilm formation, followed by propylene glycol (PG) and polyethylene glycol 400 (PEG 400) propolis extracts. Furthermore, Pseudomonas exposure to propolis EtOH extract caused a decrease in eDNA release and phenazine production. Finally, caffeic acid phenethyl ester (CAPE) and quercetin decreased upon propolis EtOH extract exposure to bacteria. Overall, our data add new insights on the anti-microbial properties of a natural compound, such as propolis against P. aeruginosa. The potential implications of these findings will be discussed.
Keyphrases
- biofilm formation
- pseudomonas aeruginosa
- candida albicans
- staphylococcus aureus
- mass spectrometry
- high performance liquid chromatography
- cystic fibrosis
- escherichia coli
- acinetobacter baumannii
- ms ms
- oxidative stress
- microbial community
- simultaneous determination
- multiple sclerosis
- liquid chromatography
- tandem mass spectrometry
- high resolution
- solid phase extraction
- risk assessment
- electronic health record
- single cell
- early onset
- gas chromatography
- climate change
- drug induced
- klebsiella pneumoniae
- big data
- machine learning