AIM To analyze the bacterial community structure and distribution of intestinal microflora in people with and without metabolic syndrome and combined these data with clinical indicators to determine relationships betw...AIM To analyze the bacterial community structure and distribution of intestinal microflora in people with and without metabolic syndrome and combined these data with clinical indicators to determine relationships between selected bacteria and metabolic diseases. METHODS Faecal samples were collected from 20 patients with metabolic syndrome and 16 controls at Cangnan People's Hospital, Zhejiang Province, China. DNA was extracted and the V3-V4 regions of the 16 S rRNA genes were amplified for high throughput sequencing. Clear reads were clustered at the 97% sequence similarity level. α and β diversity were used to describe the bacterial community structure and distribution in patients. Combined with the clinical indicators, further analysis was performed.RESULTS Bacteroidetes, Firmicutes, Actinobacteria, Proteobacteria, Fusobacteria were the dominant phyla, and Prevotella, Bacteroides and Faecalibacterium was the top three genera in faecal samples. α diversity analysis showed that the species richness of metabolic syndrome samples(group D) was significantly higher than the control(group C)(P < 0.05), and the microbial diversity of group C was greater than that of group D. According to the principal co-ordinates analysis, the samples of group C clustered more tightly, indicating that the distribution of bacteria in healthy patients was similar. The correlation analysis showed that alkaline phosphatase was negatively correlated with the abundance of Prevotella(P < 0.05). There was a negative correlation between low-density lipoprotein and the abundance of Ruminococcus(P < 0.05) and a positive correlation between the high-density lipoprotein and the abundance of Ruminococcus(P < 0.05). The total protein and the alanine aminotransferase was positively correlated with the abundance of Peptostreptococcus(P < 0.05). CONCLUSION The changes microbial communities can be used as an indicator of metabolic syndrome, and Prevotella may be a target microorganism in patients with metabolic syndrome.展开更多
目的:探讨抑郁、焦虑状态人群与健康人群肠道菌群组成的差异。方法:选择2017年5月至2018年4月复旦大学附属中山医院全科和心理门诊收治的237例就诊者,根据抑郁症筛查量表(patien health questionnare,PHQ-9)和广泛性焦虑障碍量表(genera...目的:探讨抑郁、焦虑状态人群与健康人群肠道菌群组成的差异。方法:选择2017年5月至2018年4月复旦大学附属中山医院全科和心理门诊收治的237例就诊者,根据抑郁症筛查量表(patien health questionnare,PHQ-9)和广泛性焦虑障碍量表(generalized anxiexy disorde-7,GAD-7)的评估,分为单纯抑郁组(n=38)、单纯焦虑组(n=36)和抑郁合并焦虑组(n=43)和健康对照组(n=120)。收集4组人群的粪便样本,采用高通量测序及生物信息的方法,分析菌群构成的多样性和不同层面的菌群丰度,比较组间的肠道菌群构成差异。结果:单纯抑郁组、单纯焦虑组、抑郁合并焦虑组与健康对照组相比,α和β多样性差异无统计学意义。在属的层面上,单纯抑郁组和单纯焦虑组中梭菌属(Clostridium)的丰度显著降低。结论:抑郁、焦虑状态人群与健康人群的肠道菌群结构未发现显著差异,梭菌属可能在抑郁、焦虑的发展中发挥着一定作用。展开更多
基金Supported by the Medical and Health Science and Technology Plan Project of Zhejiang Province,No.2015KY371the Public Technology Application Research of Zhejiang Province Science and Technology Hall,No.2016C33242
文摘AIM To analyze the bacterial community structure and distribution of intestinal microflora in people with and without metabolic syndrome and combined these data with clinical indicators to determine relationships between selected bacteria and metabolic diseases. METHODS Faecal samples were collected from 20 patients with metabolic syndrome and 16 controls at Cangnan People's Hospital, Zhejiang Province, China. DNA was extracted and the V3-V4 regions of the 16 S rRNA genes were amplified for high throughput sequencing. Clear reads were clustered at the 97% sequence similarity level. α and β diversity were used to describe the bacterial community structure and distribution in patients. Combined with the clinical indicators, further analysis was performed.RESULTS Bacteroidetes, Firmicutes, Actinobacteria, Proteobacteria, Fusobacteria were the dominant phyla, and Prevotella, Bacteroides and Faecalibacterium was the top three genera in faecal samples. α diversity analysis showed that the species richness of metabolic syndrome samples(group D) was significantly higher than the control(group C)(P < 0.05), and the microbial diversity of group C was greater than that of group D. According to the principal co-ordinates analysis, the samples of group C clustered more tightly, indicating that the distribution of bacteria in healthy patients was similar. The correlation analysis showed that alkaline phosphatase was negatively correlated with the abundance of Prevotella(P < 0.05). There was a negative correlation between low-density lipoprotein and the abundance of Ruminococcus(P < 0.05) and a positive correlation between the high-density lipoprotein and the abundance of Ruminococcus(P < 0.05). The total protein and the alanine aminotransferase was positively correlated with the abundance of Peptostreptococcus(P < 0.05). CONCLUSION The changes microbial communities can be used as an indicator of metabolic syndrome, and Prevotella may be a target microorganism in patients with metabolic syndrome.
文摘目的:探讨抑郁、焦虑状态人群与健康人群肠道菌群组成的差异。方法:选择2017年5月至2018年4月复旦大学附属中山医院全科和心理门诊收治的237例就诊者,根据抑郁症筛查量表(patien health questionnare,PHQ-9)和广泛性焦虑障碍量表(generalized anxiexy disorde-7,GAD-7)的评估,分为单纯抑郁组(n=38)、单纯焦虑组(n=36)和抑郁合并焦虑组(n=43)和健康对照组(n=120)。收集4组人群的粪便样本,采用高通量测序及生物信息的方法,分析菌群构成的多样性和不同层面的菌群丰度,比较组间的肠道菌群构成差异。结果:单纯抑郁组、单纯焦虑组、抑郁合并焦虑组与健康对照组相比,α和β多样性差异无统计学意义。在属的层面上,单纯抑郁组和单纯焦虑组中梭菌属(Clostridium)的丰度显著降低。结论:抑郁、焦虑状态人群与健康人群的肠道菌群结构未发现显著差异,梭菌属可能在抑郁、焦虑的发展中发挥着一定作用。
