Fazlurrahman Khan (Avtor), Sandra Oloketuyi (Avtor), Young-Mog Kim (Avtor)

Povzetek

The increase in antibiotic resistance of pathogenic bacteria has led to the development of new therapeutic approaches to inhibit biofilm formation as well as interfere quorum sensing (QS) signaling systems. The QS system is a phenomenon in which pathogenic bacteria produce signaling molecules that are involved in cell to cell communication, production of virulence factors, biofilm maturation, and several other functions. In the natural environment, several non-pathogenic bacteria are present as mixed population along with pathogenic bacteria and they control the behavior of microbial community by producing secondary metabolites. Similarly, non-pathogenic bacteria also take advantages of the QS signaling molecule as a sole carbon source for their growth through catabolism with enzymes. Several enzymes are produced by bacteria which disrupt the biofilm architecture by degrading the composition of extracellular polymeric substances (EPS) such as exopolysaccharide, extracellular- DNA and protein. Thus, the interference of QS system by bacterial metabolic products and enzymatic catalysis, modification of the QS signaling molecules as well as enzymatic disruption of biofilm architecture have been considered as the alternative therapeutic approaches. This review article elaborates on the diversity of different bacterial species with respect to their metabolic products as well as enzymes and their molecular modes of action. The bacterial enzymes and metabolic products will open new and promising perspectives for the development of strategies against the pathogenic bacterial infections.

Ključne besede

bacteria;biofilm;quorum sensing;inhibition;metabolites;virulence;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.02 - Pregledni znanstveni članek
Organizacija: UNG - Univerza v Novi Gorici
UDK: 579
COBISS: 47521283 Povezava se bo odprla v novem oknu
ISSN: 1389-4501
Št. ogledov: 1636
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

URN: URN:SI:UNG
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 1156-1179
Letnik: ǂVol. ǂ20
Zvezek: ǂno. ǂ11
Čas izdaje: 2019
DOI: 10.2174/1389450120666190423161249
ID: 12401330