Pseudomonas aeruginosa Biofilm Dispersion by the Human Atrial Natriuretic Peptide.
Mélissande LouisThomas ClamensAli TahriouiFlorie DesriacSophie RodriguesThibaut RosayNicholas J HarmerSuraya DiazMagalie BarreauPierre-Jean RacineEric KipnisTeddy GrandjeanJulien VieillardEmeline BouffartiguesPierre CornelisSylvie ChevalierMarc G J FeuilloleyOlivier LesouhaitierPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
Pseudomonas aeruginosa biofilms cause chronic, antibiotic tolerant infections in wounds and lungs. Numerous recent studies demonstrate that bacteria can detect human communication compounds through specific sensor/receptor tools that modulate bacterial physiology. Consequently, interfering with these mechanisms offers an exciting opportunity to directly affect the infection process. It is shown that the human hormone Atrial Natriuretic Peptide (hANP) both prevents the formation of P. aeruginosa biofilms and strongly disperses established P. aeruginosa biofilms. This hANP action is dose-dependent with a strong effect at low nanomolar concentrations and takes effect in 30-120 min. Furthermore, although hANP has no antimicrobial effect, it acts as an antibiotic adjuvant. hANP enhances the antibiofilm action of antibiotics with diverse modes of action, allowing almost full biofilm eradication. The hANP effect requires the presence of the P. aeruginosa sensor AmiC and the AmiR antiterminator regulator, indicating a specific mode of action. These data establish the activation of the ami pathway as a potential mechanism for P. aeruginosa biofilm dispersion. hANP appears to be devoid of toxicity, does not enhance bacterial pathogenicity, and acts synergistically with antibiotics. These data show that hANP is a promising powerful antibiofilm weapon against established P. aeruginosa biofilms in chronic infections.
Keyphrases
- pseudomonas aeruginosa
- candida albicans
- biofilm formation
- endothelial cells
- staphylococcus aureus
- cystic fibrosis
- induced pluripotent stem cells
- early stage
- oxidative stress
- heart failure
- atrial fibrillation
- acinetobacter baumannii
- electronic health record
- machine learning
- drug resistant
- climate change
- data analysis
- mitral valve