Dysbiosis of gut microbiota in a selected population of Parkinson's patients

毛螺菌科 失调 肠道菌群 生物 混淆 人口 粪便 微生物群 医学 基因组 生理学 内科学 厚壁菌 免疫学 微生物学 生物信息学 遗传学 细菌 16S核糖体RNA 基因 环境卫生
作者
Daniele Pietrucci,Rocco Cerroni,Valeria Unida,Alessio Farcomeni,Mariangela Pierantozzi,Nicola Biagio Mercuri,Silvia Biocca,Alessandro Stefani,Alessandro Desideri
出处
期刊:Parkinsonism & Related Disorders [Elsevier]
卷期号:65: 124-130 被引量:174
标识
DOI:10.1016/j.parkreldis.2019.06.003
摘要

Abstract

Introduction

In recent years the hypothesis that gut microbiota associates with Parkinson's disease (PD) has gained importance, although it has not been possible to define a specific microbiota composition as a predictive biomarker of this disease. We have investigated dysbiosis of gut microbiota in a selected population of PD patients from Central Italy, and examined the weight of specific confounders and predictors, in order to identify potential correlations with clinical phenotypes.

Methods

152 fecal samples were collected from 80 patients and 72 healthy controls. Patients were enrolled according to tight inclusion criteria. Microbiota composition was studied through 16s ribosomal RNA gene amplicon sequencing analysis in combination with data on dietary/life habits. Age, loss of weight, and sex were recognized as confounding factors, whereas PD-status, age, Body Mass Index, "eat cereals", "gain of weigth" and "physical activity" as predictors. The presence of Lactobacillaceae, Enterobacteriaceae and Enterococcaceae families was significantly higher in feces from PD patients compared to healthy controls, while Lachnospiraceae were significantly reduced. Lower levels of Lachnospiraceae and higher levels of Enterobacteriaceae families also correlated with increased disease severity and motor impairment (Hoehn & Yahr stage, MDS-UPDRS Part III). Predictive metagenomics indicated a significant variation of genes involved in the metabolism of short chain fatty acids and amino acids, and in lipopolysaccharide biosynthesis.

Conclusions

PD showed a distinctive microbiota composition. Functional predictions suggest changes in pathways favoring a pro-inflammatory environment in the gastrointestinal tract, and a reduction in the biosynthesis of amino acids acting as precursors of physiological transmitters.

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
刚刚
量子星尘发布了新的文献求助10
刚刚
汉堡包应助SUNYAOSUNYAO采纳,获得10
刚刚
健忘冷风发布了新的文献求助10
1秒前
Jasper应助啦啦啦采纳,获得10
1秒前
孟辰凡发布了新的文献求助10
1秒前
你嵙这个期刊没买举报REN求助涉嫌违规
1秒前
1秒前
Orange应助轻松戎采纳,获得10
2秒前
烊烊完成签到 ,获得积分10
2秒前
A小柴发布了新的文献求助10
2秒前
里里完成签到,获得积分10
3秒前
3秒前
3秒前
南山完成签到,获得积分10
4秒前
纯真的半山完成签到,获得积分10
4秒前
顺顺完成签到,获得积分10
4秒前
Monologue完成签到 ,获得积分10
4秒前
Owen应助xh采纳,获得10
5秒前
一万完成签到,获得积分10
5秒前
5秒前
caoyuya123完成签到 ,获得积分10
5秒前
萍子完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
大胆的如凡完成签到,获得积分10
6秒前
脑洞疼应助黑豆子采纳,获得10
7秒前
7秒前
领导范儿应助白英采纳,获得10
7秒前
7秒前
情怀应助清脆的代芹采纳,获得10
8秒前
8秒前
xutong de完成签到,获得积分10
8秒前
完美世界应助WN采纳,获得30
8秒前
Shannon完成签到,获得积分10
8秒前
Jared应助大神牛猪羊采纳,获得10
8秒前
8秒前
8秒前
8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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
二氧化碳加氢催化剂——结构设计与反应机制研究 660
碳中和关键技术丛书--二氧化碳加氢 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5661387
求助须知:如何正确求助?哪些是违规求助? 4838678
关于积分的说明 15095847
捐赠科研通 4820153
什么是DOI,文献DOI怎么找? 2579773
邀请新用户注册赠送积分活动 1534034
关于科研通互助平台的介绍 1492769