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

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 app...

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Published in:Phytomedicine (Stuttgart) 2020-08, Vol.74, p.152920-152920, Article 152920
Main Authors: Gonulalan, Ekrem M., Nemutlu, Emirhan, Bayazeid, Omer, Koçak, Engin, Yalçın, Funda N., Demirezer, L. Omur
Format: Article
Language:English
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Summary: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. 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 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. The investigated plant extracts showed a significant increase in BDNF expression (p 
ISSN:0944-7113
1618-095X
DOI:10.1016/j.phymed.2019.152920