Gonulalan, Ekrem M. published the artcileMetabolomics and proteomics profiles of some medicinal plants and correlation with BDNF activity, Application of (3R,4R,5R)-6-(((2S,3R,4S,5S,6R)-3,4,5-Trihydroxy-6-(hydroxymethyl)tetrahydro-2H-pyran-2-yl)oxy)hexane-1,2,3,4,5-pentaol, the main research area is Valeriana Melissa Passiflora BDNF neuroblastoma cell metabolomics proteomics; BDNF; GC–MS; LC-qTOF-MS; Medicinal plants; Metabolomics; Proteomics.
Identification of the low abundance of phytochems. in plant extracts is very difficult. Pharmacol. 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. 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. Metabolomic profiling of the plants was performed using the GC-MS and LC-qTOF-MS systems, and the proteomics anal. 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. 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 pos. correlation while 23 metabolites had a highly neg. correlation; those for proteins are 24 and 6, resp. The multivariate data anal. 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 pos. 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 P 450 family (P 450 71B11 and P 450 94B3) were pos. 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. Phytomedicine published new progress about Alkaloids Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 64519-82-0 belongs to class alcohols-buliding-blocks, name is (3R,4R,5R)-6-(((2S,3R,4S,5S,6R)-3,4,5-Trihydroxy-6-(hydroxymethyl)tetrahydro-2H-pyran-2-yl)oxy)hexane-1,2,3,4,5-pentaol, and the molecular formula is C12H24O11, Application of (3R,4R,5R)-6-(((2S,3R,4S,5S,6R)-3,4,5-Trihydroxy-6-(hydroxymethyl)tetrahydro-2H-pyran-2-yl)oxy)hexane-1,2,3,4,5-pentaol.
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