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Xia N, Wang J, Guo Q, Duan J, Wang X, Zhou P, Li J, Tang T, Li T, Li H, Wu Z, Yang M, Sun J, Guo D, Chang X, Zhang X. Deciphering the antidepressant effects of Rosa damascena essential oil mediated through the serotonergic synapse signaling pathway. J Ethnopharmacol 2024; 328:118007. [PMID: 38492791 DOI: 10.1016/j.jep.2024.118007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/08/2024] [Accepted: 03/02/2024] [Indexed: 03/18/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Rosa damascena is an ancient plant with significance in both medicine and perfumery that have a variety of therapeutic properties, including antidepressant, anti-anxiety, and anti-stress effects. Rose damascena essential oil (REO) has been used to treat depression, anxiety and other neurological related disorders in Iranian traditional medicine. However, its precise mechanism of action remains elusive. AIM OF THE STUDY The aim of this study was to investigate the impact and mechanism underlying the influence of REO on chronic unpredictable mild stress (CUMS) rats. MATERIALS AND METHODS Gas chromatography-mass spectrometry (GC-MS) technique coupling was used to analyze of the components of REO. A CUMS rat model was replicated to assess the antidepressant effects of varying doses of REO. This assessment encompassed behavioral evaluations, biochemical index measurements, and hematoxylin-eosin staining. For a comprehensive analysis of hippocampal tissues, we employed transcriptomics and incorporated weighting coefficients by means of network pharmacology. These measures allowed us to explore differentially expressed genes and biofunctional pathways affected by REO in the context of depression treatment. Furthermore, GC-MS metabolomics was employed to assess metabolic profiles, while a joint analysis in Metscape facilitated the construction of a network elucidating the links between differentially expressed genes and metabolites, thereby elucidating potential relationships and clarifying key pathways regulated by REO. Finally, the expression of relevant proteins in the key pathways was determined through immunohistochemistry and Western blot analysis. Molecular docking was utilized to investigate the interactions between active components and key targets, thereby validating the experimental results. RESULTS REO alleviated depressive-like behavior, significantly elevated levels of the neurotransmitter 5-hydroxytryptamine (5-HT), and reduced hippocampal neuronal damage in CUMS rats. This therapeutic effect may be associated with the modulation of the serotonergic synapse signaling pathway. Furthermore, REO rectified metabolic disturbances, primarily through the regulation of amino acid metabolic pathways. Joint analysis revealed five differentially expressed genes (EEF1A1, LOC729197, ATP8A2, NDST4, and GAD2), suggesting their potential in alleviating depressive symptoms by modulating the serotonergic synapse signaling pathway and tryptophan metabolism. REO also modulated the 5-HT2A-mediated extracellular regulated protein kinases-cAMP-response element binding protein-brain-derived neurotrophic factor (ERK-CREB-BDNF) pathway. In addition, molecular docking results indicated that citronellol, geraniol and (E,E)-farnesol in REO may serve as key active ingredients responsible for its antidepressant effects. CONCLUSIONS This study is the first to report that REO can effectively alleviate CUMS-induced depression-like effects in rats. Additionally, the study offers a comprehensive understanding of its intricate antidepressant mechanism from a multi-omics and multi-level perspective. Our findings hold promise for the clinical application and further development of this essential oil.
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Affiliation(s)
- Ning Xia
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Jie Wang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Qiuting Guo
- Xianyang Polytechnic Institute, Xianyang, 712000, Shaanxi, China
| | - Jiawei Duan
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Xuan Wang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Peijie Zhou
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Jinkai Li
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Tiantian Tang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Taotao Li
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Huiting Li
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China
| | - Zhenfeng Wu
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China
| | - Ming Yang
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China
| | - Jing Sun
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Dongyan Guo
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China
| | - Xing Chang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China.
| | - Xiaofei Zhang
- Key Laboratory of Basic and New Drug Research in Chinese Medicine, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi, China.
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Cebi N. Quantification of the Geranium Essential Oil, Palmarosa Essential Oil and Phenylethyl Alcohol in Rosa damascena Essential Oil Using ATR-FTIR Spectroscopy Combined with Chemometrics. Foods 2021; 10:1848. [PMID: 34441625 DOI: 10.3390/foods10081848] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/02/2021] [Accepted: 08/04/2021] [Indexed: 12/20/2022] Open
Abstract
Rosa damascena essential oil is an essential oil that has the greatest industrial importance due to its unique quality properties. The study used ATR-FTIR (attenuated total reflectance-Fourier transform infrared) spectroscopy coupled with chemometrics of PLSR (partial least squares regression) and PCR (principal component regression) for quantification of probable adulterants of geranium essential oil (GEO), palmarosa essential oil (PEO) and phenyl ethyl alcohol (PEOH). Hierarchical cluster analysis was performed to observe the classification pattern of Rosa damascena essential oil, spiked samples and adulterants. Rosa damascena essential oil was spiked with each adulterant at concentrations of 0–100% (v/v). Excellent R2 (regression coefficient) values (≥0.96) were obtained in all PLSR and PCR cross-validation models. The SECV (standard error of cross-validation) values ranged between 0.43 and 4.15. The lowest SECV and bias values were observed in the PLSR and PCR models, which were built by using the raw FTIR spectra of all samples. Hierarchical cluster analysis through Ward’s algorithm and Euclidian distance had high potential to observe the classification pattern of all adulterated and authentic samples. In conclusion, the combination of ATR-FTIR spectroscopy with multivariate analysis can be used for rapid, cost-effective, easy, reliable and high-throughput detection of GEO, PEO and PEOH in Rosa damascena essential oil.
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