A Low-Molecular-Weight Compound Derived from Human Leukocytes Determines a Bactericidal Activity of the Interferon Preparation.
Alexey S VasilchenkoV A GritsenkoD B KosyanE A RogozhinPublished in: Probiotics and antimicrobial proteins (2020)
The aim of this study was to characterize the structure and mode of action of antimicrobials derived from a commercial preparation of alfa-interferon. By combination of semi-preparative/analytical reversed-phase high-performance liquid chromatography, we isolated and purified a novel active substance based on carbohydrate with a complex of amino acids, which determines antimicrobial property of commercial preparation of interferon. A size-exclusion chromatography was performed and LC/ESI-MS revealed molecular masses of active substance were in the range of 180-249 Da. Edman sequencing identified phenylthiohydantoin (PTH) derivatives which consisted a set of preliminary (Asp, Glu, Gly, and Ala) and minor amino acids (Leu and Thr) at equimolar ratio. Thus, the purified active substance is a compound containing the complex of amino acids connected with carbohydrate background and called leucidin. Leucidin demonstrated antimicrobial activity against the model Escherichia coli (E. coli) K12 strain at a minimal inhibitory concentration of 20 μg mL-1. The revealed antimicrobial mechanism of action is associated with violation of the bacterial cell wall leading to a SOS response and bacterial autolysis. Despite the preliminary nature of the results, obtained data allowed us to discover the previously unknown leukocyte-derived antimicrobial molecules.
Keyphrases
- amino acid
- high performance liquid chromatography
- mass spectrometry
- escherichia coli
- tandem mass spectrometry
- solid phase extraction
- molecularly imprinted
- liquid chromatography
- simultaneous determination
- staphylococcus aureus
- cell wall
- ms ms
- dendritic cells
- single cell
- endothelial cells
- peripheral blood
- gas chromatography
- multiple sclerosis
- high resolution mass spectrometry
- electronic health record
- big data
- klebsiella pneumoniae
- biofilm formation
- ultrasound guided
- pluripotent stem cells
- deep learning
- pseudomonas aeruginosa
- magnetic resonance
- machine learning
- candida albicans