National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Antimicrobial aktivity of cannabis extract in pathogens causing skin disease
Pařízek, Štěpán ; Fraňková, Adéla (advisor) ; Klouček, Pavel (referee)
Diseases caused by microbes are worldwide cause of morbidity and public health risks. Despite undisputed global benefits of antibiotics, the occurrence of infections caused by antibiotics-resistant bacteria becomes more frequent. This can be attributed to increased consumption of antibiotics in the long term, but also to their inappropriate use. Appart from that, progress in the field of synthetic antibacterial drugs research is dramatically stagnating in recent decades, plus the the antibiotics have bad effects to many bacteria types beneficial to human body. This generates a strong need to seek for natural remedies with similar or better antimicrobial effects. It is known that many plants produce a wide range of secondary metabolites with antimicrobial effects. Such metabilites inhibit growth and reproduction of pathogenic microorganisms by various mechanisms. From explored herbal medicines hemp, traditionally used to cure many diseases, appears to be a suitable alternative to antibiotics. This thesis focuses on the antimicrobial activity of extracts of six different cannabis genotypes. Extracts with different ratios of cannabinoids have been tested using in vitro microdilution method on selected pathogens, causing skin disease (Staphylococcus spp., Streptococcus spp.). Results confirmed the antimicrobial activity of all tested extracts. Very good minimum inhibitory concentration was assessed mainly for Streptococcus spp. with a concentration of 4 ug/ml. Extracts NHS4, JB3 and CK3 showed best results against all pathogens, with minimal inhibitory concentrations in the range from 4 to 16 ug/ml. Only extracts of CK2, N3 and JC1 have proven ineffective (MIC 512 ug/ml), because they could not be evaluated by the inhibitory concentration.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.