北大王娟等:我国自闭症儿童的肠道菌群特征
创作:女巫 审核:mildbreeze 2018年10月02日
  • 分析35名自闭症谱系障碍(ASD)患儿和6名正常儿童的粪便菌群差异;
  • ASD组的粪便菌群中,拟杆菌门/厚壁菌门的比值显著增加;
  • 在属水平,与正常儿童相比,ASD组的萨特氏菌、臭气杆菌和Butyricimonas的相对丰度更高,而韦荣氏球菌和链球菌的丰度显著降低;
  • ASD组的丁酸和乳酸产生菌减少;
  • 构建了基于菌群的人类疾病网络,发现ASD与牙周病正相关,与1型糖尿病负相关,或有助于揭示ASD的发病机制及与其它疾病的关联。
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mildbreeze
近年研究表明,自闭症儿童的肠道菌群有异,但我国的相关数据还比较缺乏。Scientific Reports近期发表来自北京大学王娟团队主导的研究,揭示了我国自闭症儿童与正常儿童的肠道菌群差异,并基于菌群数据,分析了自闭症与其它疾病的关联,或有助于阐释自闭症的发病机制。
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Scientific Reports [IF:3.998]

Analysis of gut microbiota profiles and microbe-disease associations in children with autism spectrum disorders in China

中国自闭症谱系障碍儿童肠道菌群特征及菌群-疾病关联分析

10.1038/s41598-018-32219-2

2018-09-18, Article

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Autism spectrum disorder (ASD) is a set of complex neurodevelopmental disorders. Recent studies reported that children with ASD have altered gut microbiota profiles compared with typical development (TD) children. However, few studies on gut bacteria of children with ASD have been conducted in China. Here, in order to elucidate changes of fecal microbiota in children with ASD, 16S rRNA sequencing was conducted and the 16S rRNA (V3-V4) gene tags were amplified. We investigated differences in fecal microbiota between 35 children with ASD and 6 TD children. At the phylum level, the fecal microbiota of ASD group indicated a significant increase of the Bacteroidetes/Firmicutes ratio. At the genus level, we found that the relative abundance of Sutterella, Odoribacter and Butyricimonas was much more abundant in the ASD group whereas the abundance of Veillonella and Streptococcus was decreased significantly compared to the control group. Functional analysis demonstrated that butyrate and lactate producers were less abundant in the ASD group. In addition, we downloaded the association data set of microbe–disease from human microbe–disease association database and constructed a human disease network including ASD using our gut microbiome results. In this microbe–disease network based on microbe similarity of diseases, we found that ASD is positively correlated with periodontal, negatively related to type 1 diabetes. Therefore, these results suggest that microbe-based disease analysis is able to predict novel connection between ASD and other diseases and may play a role in revealing the pathogenesis of ASD.

First Authors:
Mengxiang Zhang

Correspondence Authors:
Juan Wang

All Authors:
Mengxiang Zhang,Wei Ma,Juan Zhang,Yi He,Juan Wang

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