Fecal and Blood Microbial 16s rRNA Gene Alterations in Chinese Patients with Multiple System Atrophy and Its Subtypes
Fecal and Blood Microbial 16s rRNA Gene Alterations in Chinese Patients with Multiple System Atrophy and Its Subtypes
复制标题
中国多系统萎缩症及其亚型患者粪便和血液微生物 16s rRNA 基因改变
DOI：
10.3233/jpd-191612
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发表时间：
2019-01-01
影响因子：
5.2
通讯作者：
Chen, Shengdi
中科院分区：
文献类型：
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作者：
Du, Juanjuan;Huang, Pei;Chen, Shengdi
背景与目的：探讨中国多系统萎缩（MSA）患者粪便和血液中微生物16s核糖体（rRNA）基因的变化及其与临床特征的关系。方法：招募40例MSA患者（MSA- p /MSA- c: 23/17）及其健康配偶。采用针对16s rRNA基因V3-V4功能区的高通量IllUmina Miseq测序技术对粪便和血液微生物群进行了研究。分析微生物群与临床特征的关系。结果：MSA患者粪便中乳酸杆菌、芽孢杆菌、Phascolarctobacterium、Haemophilus的丰度以及血液中白细胞杆菌、拟杆菌（Bacteroides）的丰度与健康对照组（HC）存在差异。结合粪便和血液分类群，鉴定出6个可预测MSA的属，曲线下面积（AUC）为0.853。MSA-P组粪便中Phascolarctobacterium和Ruminococcus的丰度低于MSA-C组。不同MSA亚型血中芽孢球菌、芽孢杆菌和不动杆菌的丰度不同。这5个属分化MSA亚型的AUC为0.898。功能预测表明，涉及生物合成代谢和细菌分泌系统的基因功能在MSA和HC之间存在显著差异。差异属与疾病持续时间、焦虑和自主神经功能障碍有关。结论：我们证实了中国MSA患者粪便和血液中微生物16s rRNA基因的改变。微生物群失调与MSA临床表现有关。阐明这些微生物组的差异将有助于提高我们对MSA发病机制中微生物群的认识。
Background and Objective: To explore the alterations of microbial 16s ribosomal (rRNA) gene in the feces and blood of Chinese patients with multiple system atrophy (MSA) and its relationships with clinical features.Methods: 40 MSA patients (MSA-P/MSA-C: 23/17) and their healthy spouses were recruited. Fecal and blood microbiota were investigated by high-throughput IllUmina Miseq sequencing targeted on the V3-V4 functional region of 16s rRNA gene. The relationships between microbiota and clinical characteristics were analyzed.Results: The abundances of Lactobacillus, Gordonibacter, Phascolarctobacterium, and Haemophilus in feces and abundances of Leucobacter, and Bacteroides in blood were different between MSA patients and healthy controls (HC). Combining the taxa from feces and blood, six genera were identified to be predictive of MSA, achieving an area under the curve (AUC) of 0.853. The abundances of Phascolarctobacterium and Ruminococcus in feces were lower in MSA-P than those in MSA-C. The abundances of Blastococcus, Bacillus, and Acinetobacter in blood were different between MSA subtypes. These five genera differentiated MSA subtypes with an AUC of 0.898. Functional predictions indicated that gene functions involving biosynthetic metabolism and bacterial secretion systems were significantly different between the MSA and HC. The differential genera were associated with disease duration, anxiety, and autonomic dysfunctions.Conclusions: We confirmed the alterations of microbial 16s rRNA gene in the feces and blood occurs in Chinese patients with MSA. Microbiota dysbiosis was related to MSA clinical manifestations. Elucidating these differences in microbiomes will be helpful to improve our knowledge of the microbiota in the pathogenesis of MSA.