Abstract
The susceptibility of Helicobacter pylori to three essential oils (EOs), 12 naturally occurring monoterpene hydrocarbons, oxygenated and phenolic monoterpenes and three reference antibiotics were studied. Classification and comparison of essential oils and monoterpenes on the basis of their chemical composition and antibacterial activity were made by the utilization of principal component analyses (PCA) and agglomerative hierarchical clustering (AHC). The most abundant compound in the Thymus glabrescens Willd. and Thymus pulegioides L. EOs is geraniol (33.8% and 52.5%), while the main constituent in Satureja kitaibelii Wierzb. ex Heuff. EO is limonene (16,1%). The compound that was the most active against H. pylori was carvacrol. EOs of T. glabrescens and S. kitaibelii exhibit higher antibacterial ability in comparison with all monoterpenes, except carvacrol, probably based on the concept of synergistic activity of essential oil components. PCA separated essential oils based on chemical composition and explain 96.5% of the total variance in the first two principal components. Essential oils, phenolic monoterpenes and two antibiotics were classified in the same sub-cluster within AHC analyses. EOs of T. glabrescens and S. kitaibelii can be used to treat infections caused by H. pylori, as a potentially effective, cheap and safe natural products. Further research of antibacterial activity of selected monoterpenes, essential oils and standard antibiotic combinations, as well as clinical study are required.
Highlights
Helicobacter pylori infection remains one of the common chronic bacterial infections affecting humans
principal component analyses (PCA) separated essential oils based on chemical composition and explain 96.5% of the total variance in the first two principal components
Phenolic monoterpenes and two antibiotics were classified in the same sub-cluster within agglomerative hierarchical clustering (AHC) analyses
Summary
Helicobacter pylori infection remains one of the common chronic bacterial infections affecting humans. Infection can be cured in a high percentage, the resistance of H. pylori to some antibiotics, limits the results of antibiotic therapy [1]. It is necessary to develop alternative natural and safe methods for controlling infections of the human body. In the modern chemical and biological research, it is necessary to use chemometric methods in order to confirm experimental results and eliminate any kind of subjective interpretations and discussions. Principal component analyses is a statistical tool that transforms and reduces the dimensionality of numerical datasets into new uncorrelated variables. The advantage of this analysis is that it is an unsupervised method which means that PCA displays a visual representation of the dominant patterns in the data set. When variables belong to the same cluster, they have a maximal degree of association and when they do not belong to the same cluster their degree of association is minimal
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