Design and synthesis of phenoxy methyl-oxadiazole compounds against Alzheimer's disease.

This study examines the synthesis and evaluation of 11 newly developed compounds as potential anti-Alzheimer's agents that occur via cholinesterase and ß-secretase inhibition. The compounds were tested for their inhibitory activity against acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) using the modified Ellman method. The results showed that several compounds exhibited significant inhibition of AChE, particularly compounds 6d, 7a, and 7e, which demonstrated high inhibitory activity at lower concentrations, with IC50 values of 0.120, 0.039, and 0.063 µM, respectively. However, the compounds showed limited effectiveness against BChE, with only a few compounds exhibiting moderate inhibition. Compound 7e showed an inhibitory effect against BACE-1 close to that of the standard drug. Structural analysis revealed that the compounds with substituted benzothiazole and thiazole moieties exhibited the most promising inhibitory activity. This study provides valuable insights into the potential of these synthesized derivatives as a treatment against Alzheimer's disease. Moreover, the structure, stability, and properties of the active compounds were further investigated using density functional theory calculations. As a final note, the utilization of molecular docking and molecular dynamics simulation studies allowed us to elucidate the action mechanism of the active compounds and gain insights into the structure-activity relationship against AChE and ß-secretase proteins. These computational techniques provide valuable information on the binding modes, interactions with target enzymes, dynamic behavior, and conformational changes of the compounds, enabling a comprehensive understanding of their biological activity.

Metabolomics and proteomics profiles of some medicinal plants and correlation with BDNF activity.

BACKGROUND: Identification of the low abundance of phytochemicals in plant extracts is very difficult. Pharmacological activity observed in such plants is not due to a single compound. In most cases, plant extracts show activity based on synergistic or antagonistic effects. Therefore, the idea of a holistic approach is more rational. PURPOSE: This study was planned to compare the metabolomics and proteomics profiles of Valeriana officinalis L. (Valerianaceae), Melissa officinalis L. (Lamiaceae), Hypericum perforatum L. (Hypericaceae) and Passiflora incarnata L. (Passifloraceae) used in sedative anxiolytic and sleep disorders. Integrated omics analyses were used to provide a better understanding of the effect of plant extracts on the brain-derived neurotrophic factor (BDNF) expression levels on the SH-SY5Y cell line by a holistic approach. METHODS: Metabolomic profiling of the plants was performed using the GC-MS and LC-qTOF-MS systems, and the proteomics analysis using the LC-qTOF-MS system after trypsin digestion. The Human BDNF Quantikine ELISA kit was utilized to test BDNF expression activity on the SH-SY5Y cell line. RESULTS: The investigated plant extracts showed a significant increase in BDNF expression (p < 0.05). M. officinalis was found as the most active extract. According to the correlation analyses between BDNF activity and metabolomics or proteomics level, 94 metabolites had a positive correlation while 23 metabolites had a highly negative correlation; those for proteins are 24 and 6, respectively. CONCLUSION: The multivariate data analysis revealed a similar metabolomics profile of H. perforatum and P. incarnata, which also had a similar activity profile. Remarkably, all the primary metabolites belonging to the Krebs Cycle (citric acid, fumaric acid, succinic acid, pyruvic acid, malic acid and citramalic acid, an analog of malic acid) were positively correlated with BDNF activity. Secondary metabolites with a high BDNF expression belonged to flavonoids, xanthone, coumarines, tannin, naphtalenes, terpenoids and carotenoid skeleton. Two proteins from the cytochrome P450 family (P450 71B11 and P450 94B3) were positively correlated with BDNF activity. Employing omics technologies in the plant research area will offer a better understanding of the role of plant extracts and may lead to the discovery of new compounds with specific activity.