γ-aminobutyric acid transporter-1 is involved in anxiety-like behaviors and cognitive function in knockout mice

作者
Xue Gong,Yiye Shao,Bing Li,Long Chen,Cuicui Wang,Yinghui Chen
出处
期刊:Experimental and Therapeutic Medicine [Spandidos Publishing]
卷期号:10 (2): 653-658 被引量:27
标识
DOI:10.3892/etm.2015.2577
摘要

The aim of the present study was to investigate the effect of γ-aminobutyric acid transporter-1 (GAT-1) on the anxiety‑like behaviors and cognitive function in knockout mice. In total, 20 adult male mice were divided into two groups, namely the GAT‑1 knockout (GAT‑1‑/‑) and wild‑type (WT) groups. The open field test, elevated 0‑maze (EZM) and Morris water maze were used to evaluate changes in anxiety‑like behaviors and cognitive function. Compared with the WT mice, GAT‑1‑/‑ mice made more entries and spent a longer time within the central area, traveling a greater distance, during the open field test (P<0.05). The EZM revealed that GAT‑1‑/‑ mice spent more time in the open sectors and made more total entries when compared with the WT mice (P<0.01). Observations from the two tests indicated reduced anxiety‑like behaviors in the GAT‑1‑/‑ mice. During the learning session using a Morris water maze, the latency to find the platform was significantly longer in the GAT‑1‑/‑ mice when compared with the WT mice (P<0.01). In addition, during the probe test, the GAT‑1‑/‑ mice spent less time in the target quadrant and more time in the opposite quadrant when compared with the WT mice (P<0.01); thus, the cognitive function in the GAT‑1‑/‑ mice was impaired. Therefore, the results demonstrated that the anxiety‑like behaviors were reduced and cognitive function was impaired in GAT‑1 knockout mice, indicating that GAT‑1 is involved in anxiety and cognitive functions.

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
俞秋烟完成签到,获得积分10
1秒前
东糸容发布了新的文献求助10
1秒前
悦己发布了新的文献求助10
1秒前
那个男人完成签到 ,获得积分10
1秒前
xueyaoli发布了新的文献求助10
1秒前
雪山飞龙发布了新的文献求助20
2秒前
2秒前
宠仙发布了新的文献求助10
2秒前
健忘谷秋发布了新的文献求助10
2秒前
研友_VZG7GZ应助墨明棋妙采纳,获得10
3秒前
老年人发布了新的文献求助10
3秒前
3秒前
Kelly完成签到,获得积分10
3秒前
LSMY发布了新的文献求助100
3秒前
夏日晚风完成签到,获得积分10
3秒前
3秒前
俞秋烟发布了新的文献求助10
4秒前
须知函完成签到,获得积分10
4秒前
橙子完成签到,获得积分10
4秒前
4秒前
5秒前
6秒前
LiChen发布了新的文献求助10
6秒前
echo完成签到 ,获得积分10
6秒前
怡然觅云完成签到,获得积分10
7秒前
7秒前
Jack发布了新的文献求助10
8秒前
9秒前
9秒前
SciGPT应助lilac采纳,获得10
9秒前
滴滴答答完成签到,获得积分10
9秒前
仔细听完成签到,获得积分20
9秒前
直率盼夏完成签到,获得积分20
9秒前
9秒前
积极的裘发布了新的文献求助10
9秒前
jumbleb发布了新的文献求助10
10秒前
lzx发布了新的文献求助10
10秒前
liuyaru发布了新的文献求助10
10秒前
Ziwei完成签到,获得积分10
10秒前
Ava应助Amor采纳,获得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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 7621327
求助须知:如何正确求助?哪些是违规求助? 9196415
关于积分的说明 19712670
捐赠科研通 7192793
什么是DOI,文献DOI怎么找? 3272799
关于科研通互助平台的介绍 2435217
邀请新用户注册赠送积分活动 2267913