Planta Medica International Open 2017; 4(S 01): S1-S202
DOI: 10.1055/s-0037-1608271
Poster Session
Georg Thieme Verlag KG Stuttgart · New York

The correlation between BDNF in SH-SY5Y cell lines and GC-MS metabolomic profiling of Melissa officinalis, Hypericum perforatum and Passiflora incarnata

E Gonulalan
1   Hacettepe University, Faculty of Pharmacy, Dept. of Pharmacognosy, ANKARA, Turkey
,
O Bayazeid
1   Hacettepe University, Faculty of Pharmacy, Dept. of Pharmacognosy, ANKARA, Turkey
,
E Nemutlu
2   Hacettepe University, Faculty of Pharmacy, Dept. of Analytical Chemistry, ANKARA, Turkey
,
F Yalçın
1   Hacettepe University, Faculty of Pharmacy, Dept. of Pharmacognosy, ANKARA, Turkey
,
Ö Demirezer
1   Hacettepe University, Faculty of Pharmacy, Dept. of Pharmacognosy, ANKARA, Turkey
› Author Affiliations
Further Information

Publication History

Publication Date:
24 October 2017 (online)

 

Pharmaceutical products prepared from Melissa officinalis, Hypericum perforatum and Passiflora incarnata are used in cases of mild depression [1]. Brain-derived neurotrophic factor (BDNF) levels may play a key role in the pathophysiology of depression, and regulation of BDNF levels may contribute to antidepressant effect [2]. In this study, the metabolite profiling analysis and their correlation with BDNF expression in the SH-SY5Y cell line of the extracts were investigated. P. incarnata MeOH extract increased the BDNF level by 35%, 74% (p< 0.001) and 56% (p< 0.05); H. perforatum MeOH extract by 40%, 102% (p< 0.0001), and 45%; M. officinalis MeOH by 35%, 107% (p< 0.001), and 140% (p< 0.0001) at 10, 30 and 100 µg/mL concentrations respectively. The metabolomics analysis has been performed using gas chromatography-mass spectrometry (GC-MS) [3]. After deconvolution and aligned of the chromatograms, 721 mass spectral features have been detected and 181 of them were annotated using retention index libraries. The univariate, multivariate and correlations analysis were applied to evaluate correlation between metabolomic profiling and BDNF expression in order to investigate relations between activity and full of metabolomic profiling. The three plants have showed similar metabolomic profiling. 79 metabolites were found to have negative correlation between metabolites levels and BDNF activity, while 56 of highly positive correlation (r > 0.75). And also there was a concentration dependent activity between metabolites level, higher metabolite levels lowering effect on activity.

This study was supported by grant from Hacettepe University Scientific Research Projects (Project No: THD-2016 – 9171).

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[3] Issaq HJ, Abbott E, Veenstra TD. J Sep Sci 2008; 31:1936 – 1947.