Honey is known for its content of biomolecules, such as enzymes. The enzymes of honey originate from bees, plant nectars, secretions or excretions of plant-sucking insects, or from microorganisms such as yeasts. Honey can be characterized by enzyme-catalyzed and non-enzymatic reactions. Notable examples of enzyme-catalyzed reactions are the production of hydrogen peroxide through glucose oxidase activity and the conversion of hydrogen peroxide to water and oxygen by catalase enzymes. Production of hydroxymethylfurfural (HMF) from glucose or fructose is an example of non-enzymatic reactions in honey.
The physicochemical properties and chemical composition of bee’s honey determine its nutritional and medicinal uses. The chemical constituents of honey include sugars, polyphenols, flavonoids, hydroxymethylfurfural, hydrogen peroxide, methylglyoxal, proteins, enzymes, vitamins, and minerals while the physical properties include color, aroma, taste, and conductivity. This review considers the factors that affect the physicochemical properties and chemical composition of bee’s honey to help beekeepers produce high-quality bee’s honey.
This article examined the effect of geographical (different climate conditions) and floral origins on some quality parameters of honey including the activity of diastase enzyme. Moreover, some non-quality parameters were investigated such as the pH, fructose, glucose, ratio of fructose/glucose and invertase. The honey samples were collected from Asir (cold climate) and Jazan (hot climate) regions at the southwestern part of Saudi Arabia. The geographical origin significantly affected the mean value moisture of the Acacia honey (p-value = 0.02), conductivity of the polyfloral honey (p-value = 0.03), sucrose of the Acacia honey (p-value = 0.02), diastase activity of the Acacia (p-value = 0.001), Ziziphus (p-value = 0.046) and polyfloral honey (p-value ≤ 0.001), fructose of the Acacia honey (p-value = 0.01), glucose of the Ziziphus honey (p-value = 0.03), fructose/ glucose ratio of the Ziziphus honey (p-value = 0.035), and invertase activity of the polyfloral honey (p-value ≤ 0.001). Regarding the effect of the floral origin of the honey from Asir region, the sucrose percentage of the Acacia honey was significantly more than that of the polyfloral honey (p- value = 0.003), the diastase activity of the Acacia honey was significantly more than its activity in the Ziziphus honey (p- value = 0.044), glucose percentage of the Ziziphus honey was significantly more the glucose percentage of the Acacia honey (p-value = 0.009) and the fructose/ glucose ratio of the Ziziphus honey was significantly more than that of the Acacia and polyforal honeys (p-value = 0.011 and p-value = 0.045, respectively). Concerning the significant effects of the floral origin on the quality parameters of the honey samples from Jazan region, the moisture of the Ziziphus honey was significantly increased when compared to the moisture of the Acacia honey (p-value = 0.038), the acidity of the polfloral honey was significantly more than the acidity of the Acacia honey (p-value = 0.049), the sum of fructose and glucose of the polyfloral honey was significantly increased compared to that of the Acacia honey (p-value = 0.015), the pH of the Ziziphus hiney was significantly more than the pH of the polyfloral honey (0.011) and the fructose of the polfloral honey was significantly more than that of the Acacia honey (p-value = 0.031). The effect of the geographical origin of the honey samples on their quality parameters depends on their floral origin and the effect of their floral origin differs according to their geographical origin. This article suggests considering collectively the geographical and floral origins effect when developing honey standards. However, the Codex standards for honey started considering this issue when it changed the standard concentration of HMF in honey from not more than 80–40 mg/Kg for honeys from cold climate and 80 mg/Kg for honeys from hot climates.
Propolis (bee glue) is a complex, phyto-based resinous material obtained from beehives. Its chemical and biological properties vary with respect to bee species, type of plants, geographical location, and climate of a particular area. This study was planned with the aim of determining the chemical composition and to investigate various properties (against oxidants and microbes) of different extracts of Saudi propolis collected from Arabian honey bee (Apis mellifera jemenitica) colonies headed by young queens. Chemical analysis of propolis extracts with different solvents, i.e., ethyl acetate (Eac), methanol (Met), butanol (BuT), and hexane (Hex) was done through colorimetry for the total phenolic content (TPC) and total flavonoid content (TFC) evaluation. For separation and extensive characterization of the Met extract, chromatography and 1H NMR were deployed. Six different microorganisms were selected to analyze the Saudi-propolis-based extract’s antimicrobial nature by measuring zones of inhibition (ZOI) and minimum inhibitory concentration (MIC). Molecular docking was done by utilizing AutodDock, and sketching of ligands was performed through Marvin Chem Sketch (MCS), and the resultant data after 2D and 3D clean were stored in .mol format. The highest TFC (96.65 mg quercetin equivalents (QE)/g of propolis) and TPC (325 mg gallic acid equivalents (GAE)/g of propolis) were noted for Met. Six familiar compounds were isolated, and recognition was done with NMR. Met extract showed the greatest 1,1-diphenyl-2-picrylhydrazyl radical (DPPH) free radical scavenging activity and Ferric Reducing Antioxidant Power (FRAP). Met showed max microbial activity against Staphylococcus aureus (ZOI = 18.67 mm, MIC = 0.625 mg/mL), whereas the minimum was observed in Hex against E. coli (ZOI = 6.33 mm, MIC = 2.50 mg/mL). Furthermore, the molecular docking process established the biological activity of separated compounds against HCK (Hematopoietic cell kinase) and Gyrase B of S. aureus. Moreover, the stability of protein–ligand complexes was further established through molecular dynamic simulation studies, which showed that the receptor–ligand complexes were quite stable. Results of this research will pave the way for further consolidated analysis of propolis obtained from Arabian honey bees (A. m. jemenitica).
1 January 2015 in Journal of Cancer Research and Therapeutics
Background: Inflammation and cell necrosis are one of the consequences that accompany breast cancer. However, inflammation and cell necrosis are well known to be involved in stimulation of cellular and humeral immunity. Objectives: The aim of this study is to investigate the immune response to the inflammation that accompanies cancer through measuring plasma concentration of antinuclear antibodies (ANAs) and anti-double stranded deoxyribonucleic acid antibodies (ADSDAs). Materials and Methods: Thirty-five newly diagnosed breast cancer patients were involved in this study from the Radiation Isotopes Center Khartoum (RICK) compared to 18 age- and sex-matched control subjects. Intravenous blood sample was obtained from each study subject and Enzyme Linked Immuno Sorbent Assay (ELISA) technique was used to determine the concentration of the two antibodies. Results: Regarding the ANA concentration in the patients; the range was 0.7-1.8 IU/ml, mean was 0.96, and the standard deviation (SD) was 0.25; while the range of theconcentration in the control subjects was 0.3-0.6 IU/ml, mean was 0.47, and SD was 0.07. However, when the means of patients and controls were compared, the difference was significant (P < 0.000). Concerning the result anti-double stranded DNA (anti-dsDNA), its concentration range in the patients was 2.6-151.9 IU/ml, themean was 55.2, and SD was 25.6, while in healthy people concentration range was 26.1-97.3 IU/ml, the mean was 50.3, and SD was 16.9. There was no significant change between the patients and controls (P = 0.46). Conclusion: The ANA concentration in the patients was significantly increased, while there was no significant difference between the results of ADSDAs in the patients and the control subjects.
9 April 2021 in Journal of Proteins and Proteomics