Alterations in gut microbiota affect behavioral and inflammatory responses to methamphetamine in mice

肠道菌群 情感(语言学) 甲基苯丙胺 肠-脑轴 心理学 医学 免疫学 精神科 沟通
作者
Simin Lai,Jing Wang,Biao Wang,Rui Wang,Guodong Li,Yuwei Jia,Teng Chen,Yanjiong Chen
出处
期刊:Psychopharmacology [Springer Science+Business Media]
卷期号:239 (8): 1-16 被引量:21
标识
DOI:10.1007/s00213-022-06154-0
摘要

Rationale and objectivesMethamphetamine (METH) is a highly addictive and widely abused drug that causes severe neuroinflammation in the human brain. The gut microbiota has a tremendous impact on the core symptoms of neuropsychiatric disorders via the microbiota-gut-brain (MGB) axis. However, it is not clear whether alterations in the gut microbiota are involved in METH exposure.MethodsWe established a mouse model with chronic, escalating doses of METH exposure. Intervene in gut microbiota with antibiotics to observe the changes of locomotor activity caused by METH exposure in mice. qPCR and 16S rRNA gene sequencing were used to analyze the gut microbiota profiles. In addition, we tested the levels of inflammatory factors in the nucleus accumbens (NAc), prefrontal cortex (mPFC), hippocampus (HIp), and spleen. Finally, short-chain fatty acids (SCFAs) were supplemented to determine the interaction between behavior changes and the structure of gut microbiota.ResultsIn this research, METH increased the locomotor activity of mice, while antibiotics changed the effect. Antibiotics enhanced the expression of pro-inflammatory cytokines in mPFC, HIp, and spleen of METH-exposed mice. METH altered the gut microbiota of mice after antibiotic treatment, such as Butyricicoccus and Roseburia, which are related to butyrate metabolism. Supplementation with SCFAs changed the behavior of METH-exposed mice and decreased Parabacteroides and increased Lactobacillus in METH-exposed mice gut.ConclusionsThis research showed that antibiotics affected the behavior of METH-exposed mice and promoted inflammation. Our findings suggest that SCFAs might regulate METH-induced gut microbiota changes and behavior.
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
LL完成签到 ,获得积分10
1秒前
醉熏的凡旋完成签到 ,获得积分10
2秒前
自信的无剑完成签到,获得积分10
3秒前
科目三应助jjh采纳,获得30
5秒前
W6234147完成签到 ,获得积分10
6秒前
海龙完成签到,获得积分10
7秒前
xinx完成签到 ,获得积分10
8秒前
腌椰菜完成签到,获得积分10
8秒前
9秒前
10秒前
海龙发布了新的文献求助10
11秒前
心态好应助阿玖采纳,获得50
11秒前
11秒前
自信的昊强完成签到,获得积分10
11秒前
此木完成签到,获得积分10
12秒前
腌椰菜发布了新的文献求助10
12秒前
12秒前
13秒前
ynbn发布了新的文献求助10
13秒前
mia发布了新的文献求助10
14秒前
14秒前
15秒前
16秒前
17秒前
tonga完成签到,获得积分10
17秒前
741852发布了新的文献求助10
18秒前
xxx完成签到,获得积分20
18秒前
爱听歌安彤完成签到,获得积分10
18秒前
18秒前
jjh发布了新的文献求助30
18秒前
19秒前
21秒前
暴躁的信封完成签到,获得积分20
21秒前
22秒前
Kkk发布了新的文献求助10
22秒前
mojomars发布了新的文献求助10
22秒前
22秒前
22秒前
领导范儿应助531采纳,获得20
22秒前
xxx发布了新的文献求助10
23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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
Transdermal drug delivery systems market size report 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 7641347
求助须知:如何正确求助?哪些是违规求助? 9214372
关于积分的说明 19765839
捐赠科研通 7206859
什么是DOI,文献DOI怎么找? 3276234
关于科研通互助平台的介绍 2437928
邀请新用户注册赠送积分活动 2273798