| Title |
Metabolite-related antidepressant action of diterpene ginkgolides in the prefrontal cortex
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, April 2018
|
| DOI | 10.2147/ndt.s161351 |
| Pubmed ID | |
| Authors |
Qingchuan Hu, Peng Shen, Shunjie Bai, Meixue Dong, Zihong Liang, Zhi Chen, Wei Wang, Haiyang Wang, Siwen Gui, Pengfei Li, Peng Xie |
| Abstract |
Ginkgo biloba extract (GBE) contains diterpene ginkgolides (DGs), which have been shown to have neuroprotective effects by a number of previous studies. We previously demonstrated part of the action of DG. However, the impact of DG on the prefrontal cortex (PFC) remains unclear. Here, we evaluated the effects of DG and venlafaxine (for comparison) on behavioral and metabolite changes in the PFC using mice models and gas chromatography-mass spectrometry-based metabolomics. Mice were randomly divided into control (saline), DG (12.18 mg/kg) and venlafaxine (16 mg/kg) groups. After 2 weeks of treatment, depression and anxiety-related behavioral tests were performed. Metabolic profiles of the PFC were detected by gas chromatography-mass spectrometry. The DG group exhibited positive effects in the sucrose preference test. The differential metabolites were mainly related to amino acid metabolism, energy metabolism and lipid metabolism. The results indicated that the DG group exhibited perturbed lipid metabolism, molecular transport and small-molecule biochemistry in the PFC. Compared with the control group, pathway analysis indicated that venlafaxine and DG had similar effects on alanine, aspartate and glutamate metabolism. These findings demonstrate that DG has antidepressant-like, but not anxiolytic-like, effects in mice, suggesting that it might have therapeutic potential for the treatment of major depressive disorder. |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 19% |
| Student > Master | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 2 | 6% |
| Other | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 11 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Psychology | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 13 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#303,768
of 343,807 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#59
of 77 outputs
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