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Background: Inhibition of α-amylase and α-glucosidase is considered as an important therapeutic target to manage type 2 diabetes mellitus (T2DM), reducing postprandial hyperglycemia (PPHG). Objective: The present work explored the antidiabetic activities of five artificial food colorings by α- amylase and α-glucosidase enzyme inhibition in vitro and in Silico. Methods: In this study, inhibition of α-amylase and α-glucosidase was evaluated. Further, the interaction between enzymes (α-amylase and α-glucosidase) and ligands (food colorings) was followed by QSAR and molecular docking studies. Results: The in vitro results obtained show that the blue patent (SIN131) exhibited more potent inhibition with IC50 values of 0.03± 0.01 mM and 0.014±0.001 mM against α-amylase and α-glucosidase inhibition respectively compared to acarbose. The QSAR study found a strong correlation between IC50 values with four molecular descriptors. This linear regression confirms that a strong polarity (Apol) and low hydrophobia (ALogP) favor the inhibitory effect of these colorings toward both enzymes. Also, a negative role of the number of heavy atoms has been demonstrated in the phenomenon of inhibition of this enzyme. Finally, the descriptor εlumo (electronic affinity) plays a crucial role on the inhibitory power of these dyes toward both enzymes by electron transfer. The virtual screening of the inhibition of α-amylase and α-glucosidase by these colorings, using Molegro Virtual Docker (MVD), allowed us to obtain stable complexes with interaction energies resulting from the place of hydrogen bonds and several hydrophobic interactions. However, the sulfonate groups of these colorings can be the major factors in the inhibition of these enzymes. On the other hand, Rerank Score with the pose are perfectly correlated (R2> 0.76) to the inhibitory activity of these food colorings measured experimentally. Conclusion: The present study suggests that the Blue Patent V (SIN131) effectively acts as α-amylase and α-glucosidase inhibitor leading to a reduction in starch hydrolysis and eventually to lower glucose levels.

Arid and desert environments are characterized by the sparse and discontinuous vegetation cover. Species that have been able to survive difficult bioclimatic conditions and adapt from generation to generation in these areas had to develop physiological and biochemical mechanisms of tolerance and/or resistance. The use of secondary metabolites, specifically terpenoids, is predominant in most of the biotic and abiotic interactions in which these plants are involved. Studies have shown their roles in the prevention of oxidative stress by intervening in thermo-tolerance, water stress, and salt stress generalized in a model of "the protective role of volatile compounds" explained by a single biochemical mechanism. Other studies have proven the functions of terpenoids in direct and indirect defenses against natural enemies, herbivores, and pathogenic microorganisms, in the attraction of pollinators, in competition and facilitation and other interactions between plants. This review mainly summarizes the recent research progress on the adaptation mechanisms of plants in arid environments and the biological and ecological roles of terpenoids in the various biotic and abiotic interactions.

Essential oils (EO) from leaves and flowers of Rhanterium adpressum have shown to inhibit the mycelial growth and type B trichothecenes production. The four strains of Fusarium culmorum and Fusarium graminearum were inhibited with 0.25 μL.mL-1 of each oil. The inhibitory activity of 11 sesquiterpenes identified in these oils was here examined in silico against two key enzymes in the biosynthesis pathway of trichotecenes namely: 15-O-trichothecene acetyltransferase and 3-O-trichothecene acetyltransferase. In sesquiterpene composition, T-Muurolol and α-Eudesmol have the highest percentages ranging from 1.4 to 2.75 %. Three-dimensional structures of these two enzymes were modeled using SWISS-MODEL with GMQE = 0.93 and QMEAN = -0.45 for 3-O-trichothecene acetyltransferase and GMQE = 0.93, QMEAN = -0.58 for 15-O-trichothecene acetyltransferase. By the results of docking, T-Muurolol and α-Eudesmol showed high affinity compared to 15-Decalonectrin and Deoxynivalenol. These molecules are all sesquiterpenes with no major conformational difference with an RMSD of 3.7 Å and 3.5 Å between 15-decalonectrin and α-Eudesmol, T-Muurolol respectively. The results of docking prove the inhibitory effect of R. adpressum EO sesquiterpenes on the enzymes of mycotoxins biosynthesis pathway of F. culmorum and F. graminearum.

This study aims to predict the impact of bioclimatic variables in current and future climatic scenarios on the distribution of Inuleae tribe species. Modeling the distribution of 30 species of the Inuleae tribe in Algeria was carried out with a maximum entropy model. Two models with 99 occurrence points were obtained with mean values of Area Under a Curve (AUC) of 0.987±0.01 and 0.971±0.02, reflecting excellent predictive power. Three bioclimatic variables contributed mainly to the first model and four - to the second one with cumulative contributions of 83.8% and 79%, respectively elucidating differences between species of the two major climatic zones in Algeria: the Tell and the Sahara. Two-dimensional niches of Algerian Inuleae species allowed to distinguish these two groups with the distribution of 18 Tell species, characterized by high rainfall (14-18°C, 400-1000 mm) and the other 12 species – distributed in hot and dry environments (17-24°C, 20-200 mm). Modeling the distribution under future conditions showed that habitats of the Saharan region would be much less suitable for these species with a variation in the annual mean temperature increase up to 20% and a decrease in annual precipitation, which could raise to 11 and 15%.

Many studies have initiated the use of plant species in traditional Algerian medicine taking into consideration that the Algerian flora is the main source of traditional remedies. In fact, Algerian ethnopharmacology was a combination of ancient knowledge inherited from Islamic civilization and purely empirical uses of substances of different origins; plant, animal and inorganic. The study showed the existence of non-systematic knowledge of plants oriented by knowledge in classical medicine and the use of a large number of ingredients separately or in mixture according to very diverse therapeutic formulas. This study presented the different uses of 134 substances of plant origin, 13 of animal origin and 12 of inorganic origin; these substances have enriched among others the Algerian pharmacopoeia in the eighteenth and nineteenth centuries.

Modeling the distribution of Rhanterium adpressum, an endemic species from southwestern Algeria, and the interactions of soil’s chemical properties with the variability of chemical composition of its essential oils makes the objective of this study. Obtained MaxEnt model (AUC = 0.98) showed that the general distribution of genus Rhanterium established mainly by the contribution of eight bioclimatic variables derived from temperature and precipitation (90.5%). Projection of the model in future conditions until 2070 reveals that the habitats of this species will be very affected by climate changes. The analysis of 9 soil samples shows a sandy (77–96%), alkaline, and calcareous character with an electrical conductivity between 0.2 and 1.8 dS/m at 20°C. The chemical composition of terpenoids families during a period of 5 months was dominated by monoterpene hydrocarbons (70–90%) followed by oxygen monoterpenes (4.5–9.2%), hydrocarbon sesquiterpenes (1.6–9.9%), and oxygenated sesquiterpenes (4.3–7.2%). The variation of this composition in relation with phenological cycle and physicochemical properties of the soil was discussed.

International audience; The antifungal potency of the essential oils of Rhanterium adpressum was evaluated against four mycotoxigenic strains of the genus Fusarium. The essential oils were obtained, separately, by hydro-distillation of the aerial parts of R. adpressum (leaves and flowers). The parts were collected during the period of bloom (3 months) for 3 years. The GC-MS analysis revealed thirty-six compounds for the essential oils, divided into four classes of chemical compounds, with variable percentages according to the month of extraction. The monoterpene hydrocarbons form the main class in these oils. On the other hand, the highest percentages of the oxygenated compounds are observed in the samples collected during the month of May. The direct contact method was used to evaluate the antifungal activity of the essential oils. The activity can be attributed to their relatively high composition of oxygenated monoterpenes. Flowers extract showed strong inhibitory activity, with very interesting concentrations of IC50 and MIC for both tests on solid and liquid medium. The effect of these oils on the production of type B trichothecenes (TCTBs) was evaluated, showing a significant inhibitory effect on TCTBs production, for both extracts (leaves and flowers). The rates of inhibition were 66-97 and 76-100% of FX, 3-ADON and 15-ADON, respectively. The inhibition of fungal biomass and the production of TCTBs depended on the used concentration of the essential oils. These results suggest that the essential oils from R. adpressum are able to control the growth of the tested strains and their subsequent production of TCTB mycotoxins.

For the first time, the enzymatic inhibition activity of 13 synthetic flavonoids was assessed by quantitative structure-activity relationship (QSAR) modeling and molecular docking with the three states of the enzyme horseradish peroxidase (HRP). The results show that apigenin, quercetin, kaempferol, fisetin, tricetin, and luteolin exerted a high competitive inhibition on HRP (Ki between 0.14 and 1.74 mM) compared with other flavonoids. The QSAR model of enzymatic activity (R2 = 0.95, RMSE = 5.48) showed that Ghose-Crippen octanol-water partition coefficient (Alog P) and lowest unoccupied molecular orbital's energy (elumo ) correlated with 0.65 and 0.17, respectively, with Ki values. According to the docking results using Molegro Virtual Docker program, all the flavonoids have shown great binding affinity towards peroxidase. Apigenin has the largest MolDock score in the three states of HRP noting an increased affinity of these flavonoids between compound I and compound II by 2.26%. However, these affinities strongly decrease between compound II and compound III by 28.43% especially for luteolin whose MolDock score decreased by 74.7%. With the results of docking, the affinities of the flavonoids tested and translated by their Ki values are much more presentative of the inhibition of the first reaction states of HRP because their inhibitory effect is important.