Gut dysbiosis associated with the rats' responses in methamphetamine‐induced conditioned place preference

有条件地点偏好 肠道菌群 失调 阿克曼西亚 甲基苯丙胺 肠-脑轴 药理学 微生物群 生物 内科学 医学 吗啡 免疫学 细菌 生物信息学 乳酸菌 遗传学
作者
Cheng Yang,Xiaoya Fu,Wei Hao,Xiaojun Xiang,Tieqiao Liu,Bao‐Zhu Yang,Xiaojie Zhang
出处
期刊:Addiction Biology [Wiley]
卷期号:26 (4): e12975-e12975 被引量:39
标识
DOI:10.1111/adb.12975
摘要

Abstract Methamphetamine (MA) is a potent stimulant and notoriously addictive. Individuals respond to MA effects differently and thus have a varying susceptible risk of developing MA use disorder. Cumulative evidence has indicated that gut dysbiosis contributes to behavioral response to drug effects. However, the role of gut microbiota in the susceptible risk of developing MA use disorder has remained elusive. Using an MA‐induced conditioned place preference (CPP) rat model, we administrated the same dose of MA to rats, which then showed distinct preferences in drug‐related place, indicating their different responses to MA. From all of the MA‐exposed rats, the eight with the highest CPP scores were labeled as group high CPP (H‐CPP), and the eight with the lowest were labeled as group low CPP (L‐CPP). By 16S ribosomal RNA (rRNA) sequencing, we found that the gut microbiota compositions differed between H‐CPP and L‐CPP. Specifically, Akkermansia was significantly higher in H‐CPP and positively correlated with the CPP scores. Notably, H‐CPP and L‐CPP differed in the gut microbiota composition prior to the CPP training; Ruminococcus was the dominant phylotype in H‐CPP at baseline. More importantly, rats pretreated by antibiotics showed a significantly stronger MA‐induced CPP than did the controls. Our study demonstrates that the gut dysbiosis was associated with the MA‐induced CPP, indicating that the gut microbiota might be important modulators for MA‐induced behavior and vulnerability to MA use disorder.
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
1秒前
优雅雁菡完成签到 ,获得积分10
1秒前
虚幻的云朵完成签到 ,获得积分10
1秒前
zz0429完成签到 ,获得积分10
1秒前
ever完成签到,获得积分10
1秒前
1秒前
jl完成签到,获得积分10
2秒前
2秒前
juez发布了新的文献求助10
2秒前
2秒前
Beatrice完成签到,获得积分10
3秒前
古月关注了科研通微信公众号
3秒前
虾米吃螃蟹完成签到,获得积分10
3秒前
HZZZZZ完成签到,获得积分10
3秒前
苹果凝荷发布了新的文献求助30
4秒前
4秒前
领导范儿应助冷傲书蝶采纳,获得10
4秒前
red关闭了red文献求助
4秒前
5秒前
log发布了新的文献求助10
5秒前
万能图书馆应助raynee采纳,获得10
5秒前
5秒前
5秒前
KuchA完成签到,获得积分10
6秒前
何双双发布了新的文献求助10
6秒前
rr发布了新的文献求助10
6秒前
完美世界应助烛风采纳,获得10
6秒前
6秒前
7秒前
科研通AI6.1应助Wangyingjie5采纳,获得10
7秒前
7秒前
Akim应助陈伟民采纳,获得30
7秒前
清脆映萱发布了新的文献求助10
8秒前
受伤路灯发布了新的文献求助10
8秒前
8秒前
科研混子发布了新的文献求助10
8秒前
9秒前
华仔应助包包琪采纳,获得10
9秒前
忧郁的猕猴桃完成签到,获得积分10
9秒前
yuanchong完成签到,获得积分10
9秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6478999
求助须知:如何正确求助?哪些是违规求助? 8280408
关于积分的说明 17660803
捐赠科研通 5561564
什么是DOI,文献DOI怎么找? 2911306
邀请新用户注册赠送积分活动 1888291
关于科研通互助平台的介绍 1742266