Bacterial Diversity of Intestinal Microbiota in Patients with Substance Use Disorders Revealed by 16S rRNA Gene Deep Sequencing.
Bacterial Diversity of Intestinal Microbiota in Patients with Substance Use Disorders Revealed by 16S rRNA Gene Deep Sequencing.
复制标题
16S rRNA 基因深度测序揭示药物滥用患者肠道微生物群的细菌多样性
DOI：
10.1038/s41598-017-03706-9
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发表时间：
2017-06-15
影响因子：
4.6
通讯作者：
Wang K
中科院分区：
文献类型：
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作者：
Xu Y;Xie Z;Wang H;Shen Z;Guo Y;Gao Y;Chen X;Wu Q;Li X;Wang K
药物滥用和成瘾是全世界关注的问题。在人口超过13亿的中国，新的研究表明，药物滥用和与药物有关的问题稳步增加。一些主要挑战包括缺乏有效的评估平台来确定物质成瘾受试者的健康状况。众所周知，肠道菌群与人类疾病的发生和发展有关。然而，物质成瘾受试者肠道微生物群细菌多样性的变化尚未得到明确表征。在此，我们研究了45名物质使用障碍（SUD）患者和48名健康对照（HC）的肠道微生物群的组成和多样性。结果表明，所观察到的物种多样性指数和丰富的Thauera，Paracoccus，和Prevotella是显着较高的SUDs相比，HC。推定宏基因组分析的功能多样性表明，包括翻译、DNA复制和修复以及细胞生长和死亡在内的途径在SUD中过度表达，而细胞过程和信号传导以及代谢在SUD中则表现不佳。总的来说，分析表明，在一系列SUD中，与物质使用相关的微生物群似乎发生了变化，为物质成瘾评估测试的未来研究提供了基础知识。
Substance abuse and addiction are worldwide concerns. In China, populated with over 1.3 billion people, emerging studies show a steady increase in substance abuse and substance-related problems. Some of the major challenges include a lack of an effective evaluation platform to determine the health status of substance-addicted subjects. It is known that the intestinal microbiota is associated to the occurrence and development of human diseases. However, the changes of bacterial diversity of intestinal microbiota in substance-addicted subjects have not been clearly characterized. Herein, we examined the composition and diversity of intestinal microbiota in 45 patients with substance use disorders (SUDs) and in 48 healthy controls (HCs). The results show that the observed species diversity index and the abundance of Thauera, Paracoccus, and Prevotella are significantly higher in SUDs compared to HCs. The functional diversity of the putative metagenomes analysis reveals that pathways including translation, DNA replication and repair, and cell growth and death are over-represented while cellular processes and signaling, and metabolism are under-represented in SUDs. Overall, the analyses show that there seem to be changes in the microbiota that are associated with substance use across an array of SUDs, providing fundamental knowledge for future research in substance-addiction assessment tests.