Synergistic effects of Nepeta menthoides and Melissa officinalis aqueous extracts on reserpine‐induced depressive‐like behaviors in mice

丙咪嗪 梅丽莎 化学 药理学 抗氧化剂 官房 开阔地 植物化学 利血平 过氧化氢酶 行为绝望测验 迷迭香酸 槲皮素 迷迭香 传统医学 抗抑郁药 医学 生物化学 内分泌学 替代医学 病理 海马体
作者
Sedighe Talebi,Batool Rahmati,Masoumeh Jorjani,Fatemeh Emadi,Farzaneh Ghaffari,Mohsen Naseri
出处
期刊:Phytotherapy Research [Wiley]
卷期号:36 (6): 2481-2494 被引量:11
标识
DOI:10.1002/ptr.7457
摘要

Nepeta menthoides Boiss. & Buhse and Melissa officinalis are extensively used in Persian medicine for the treatment of depression. Considering the active ingredients and main phenolic compounds of these plants and possible synergistic effects, this study examined the antidepressant and antioxidant activities of aqueous extract of N. menthoides (NM) and M. officinalis (MO) in reserpinized mice alone and combination. Mice were pretreated orally for 1-week with normal saline (10 ml/kg), fluoxetine (20 mg/kg), imipramine (10 mg/kg), NM (50-100-200-400 mg/kg), MO (150-350-550-750 mg/kg), and combination (NM 50 with MO 150 mg/kg). The behavioral changes were evaluated using forced swim, tail suspension, and open field tests, 24 hr after reserpine injection (4 mg/kg) on eighth day. The amounts of active components in the extracts and catalase (CAT) as a brain oxidative stress were measured with enzyme-linked immunosorbent assay. Data showed that this combination produced a synergistic action on behaviors and a significant increase in CAT activity. High-performance liquid chromatography results showed that rosmarinic acid contents in MO and NM were 6.42 ± 1.1 and 11.03 ± 2.16 mg/g of dried extract, respectively. Total flavonoid and phenolic contents of MO were higher than NM. The findings suggest that the present combination produces an antidepressant-like effect, which is possibly triggered by its antioxidant properties.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
顾矜应助毕长富采纳,获得10
刚刚
1秒前
Remon完成签到,获得积分10
1秒前
stacy发布了新的文献求助10
1秒前
1秒前
春枝闻言发布了新的文献求助10
1秒前
1秒前
XiangLuo发布了新的文献求助10
2秒前
杨咩咩完成签到,获得积分10
2秒前
chancellery完成签到,获得积分10
3秒前
李白白白完成签到,获得积分10
3秒前
天天快乐应助昵称采纳,获得10
3秒前
4秒前
5秒前
毕长富完成签到,获得积分10
5秒前
Churchill87426完成签到,获得积分10
6秒前
TT发布了新的文献求助20
7秒前
优雅的盼夏完成签到 ,获得积分10
8秒前
8秒前
xxm发布了新的文献求助10
10秒前
10秒前
Orange应助科研通管家采纳,获得10
10秒前
Ava应助科研通管家采纳,获得10
10秒前
李爱国应助科研通管家采纳,获得10
10秒前
ty完成签到 ,获得积分10
10秒前
MozzieMiao应助科研通管家采纳,获得20
10秒前
10秒前
丘比特应助科研通管家采纳,获得10
10秒前
四喜丸子完成签到,获得积分10
11秒前
充电宝应助科研通管家采纳,获得10
11秒前
眼睛大的伊完成签到,获得积分10
11秒前
Owen应助科研通管家采纳,获得10
11秒前
Hello应助科研通管家采纳,获得10
11秒前
11秒前
molihuakai应助科研通管家采纳,获得10
11秒前
MozzieMiao应助科研通管家采纳,获得30
11秒前
11秒前
12秒前
12秒前
梦的光点完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7740496
求助须知:如何正确求助?哪些是违规求助? 9289111
关于积分的说明 20193948
捐赠科研通 7318634
什么是DOI,文献DOI怎么找? 3306445
关于科研通互助平台的介绍 2458691
邀请新用户注册赠送积分活动 2316591