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基于粪便代谢组学联合 16S rRNA 基因测序分析肾阳虚证大鼠肠道菌群变化及右归丸的干预作用

Fecal metabonomics combined with 16S rRNA gene sequencing to analyze the changes of gut microbiota in rats with kidney-yang deficiency syndrome and the intervention effect of You-gui pill.

机构信息

School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.

Shool of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.

出版信息

J Ethnopharmacol. 2019 Nov 15;244:112139. doi: 10.1016/j.jep.2019.112139. Epub 2019 Aug 8.


DOI:10.1016/j.jep.2019.112139
PMID:31401318
Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: A myriad of evidence have shown that kidney-yang deficiency syndrome (KYDS) is associated with metabolic disorders of the intestinal microbiota, while TCMs can treat KYDS by regulating gut microbiota metabolism. However, the specific interplay between KYDS and intestinal microbiota, and the intrinsic regulation mechanism of You-gui pill (YGP) on KYDS' gut microbiota remains largely unknown so far. MATERIALS AND METHODS: In the present study, fecal metabonomics combined with 16S rRNA gene sequencing analysis were used to explore the mutual effect between KYDS and intestinal flora, and the intrinsic regulation mechanism of YGP on KYDS's gut microbiota. Rats' feces from control (CON) group, KYDS group and YGP group were collected, and metabolomic analysis was performed using H NMR technique combined with multivariate statistical analysis to obtain differential metabolites. Simultaneously, 16S rRNA gene sequencing analysis based on the Illumina HiSeq sequencing platform and ANOVA analysis were used to analyze the composition of the intestinal microbiota in the stool samples and to screen for the significant altered microbiota at the genus level. After that, MetaboAnalyst database and PICRUSt software were apply to conduct metabolic pathway analysis and functional prediction analysis of the screened differential metabolites and intestinal microbiota, respectively. What's more, Pearson correlation analysis was performed on these differential metabolites and gut microbiota. RESULTS: Using fecal metabonomics, KYDS was found to be associated with 21 differential metabolites and seven potential metabolic pathways. These metabolites and metabolic pathways were mainly involved in amino acid metabolism, energy metabolism, methylamine metabolism, bile acid metabolism and urea cycle, and short-chain fatty acid metabolism. Through 16S rRNA gene sequencing analysis, we found that KYDS was related to eleven different intestinal microbiotas. These gut microbiota were mostly involved in amino acid metabolism, energy metabolism, nervous, endocrine, immune and digestive system, lipid metabolism, and carbohydrate metabolism. Combined fecal metabonomics and 16S rRNA gene sequencing analysis, we further discovered that KYDS was primarily linked to three gut microbiotas (i.e. Bacteroides, Desulfovibrio and [Eubacterium]_coprostanoligenes_group) and eleven related metabolites (i.e. deoxycholate, n-butyrate, valine, isoleucine, acetate, taurine, glycine, α-gluconse, β-glucose, glycerol and tryptophan) mediated various metabolic disorders (amino acid metabolism, energy metabolism, especially methylamine metabolism, bile acid metabolism and urea cycle, short-chain fatty acid metabolism. nervous, endocrine, immune and digestive system, lipid metabolism, and carbohydrate metabolism). YGP, however, had the ability to mediate four kinds of microbes (i.e. Ruminiclostridium_9, Ruminococcaceae_UCG-007, Ruminococcaceae_UCG-010, and uncultured_bacterium_f_Bacteroidales_S24-7_group) and ten related metabolites (i.e. deoxycholate, valine, isoleucine, alanine, citrulline, acetate, DMA, TMA, phenylalanine and tryptophan) mediated amino acid metabolism, especially methylamine metabolism, bile acid metabolism and urea cycle, short-chain fatty acid metabolism, endocrine, immune and digestive system, and lipid metabolism, thereby exerting a therapeutic effect on KYDS rats. CONCLUSION: Overall, our findings have preliminary confirmed that KYDS is closely related to metabolic and microbial dysbiosis, whereas YGP can improve the metabolic disorder of KYDS by acting on intestinal microbiota. Meanwhile, this will lay the foundation for the further KYDS's metagenomic research and the use of intestinal microbiotas as drug targets to treat KYDS.

摘要

民族药理学相关性:大量证据表明,肾阳虚证(KYDS)与肠道微生物群的代谢紊乱有关,而中药可以通过调节肠道微生物群代谢来治疗 KYDS。然而,KYDS 与肠道微生物群之间的具体相互作用,以及右归丸(YGP)对 KYDS 肠道微生物群的内在调节机制目前还知之甚少。

材料和方法:本研究采用粪便代谢组学结合 16S rRNA 基因测序分析,探讨 KYDS 与肠道菌群的相互作用及 YGP 对 KYDS 肠道菌群的内在调节机制。收集对照(CON)组、KYDS 组和 YGP 组大鼠粪便,采用 H NMR 技术结合多变量统计分析进行代谢组学分析,获得差异代谢物。同时,基于 Illumina HiSeq 测序平台的 16S rRNA 基因测序分析和 ANOVA 分析用于分析粪便样本中肠道菌群的组成,并筛选出属水平上显著改变的菌群。然后,应用 MetaboAnalyst 数据库和 PICRUSt 软件分别对筛选出的差异代谢物和肠道微生物群进行代谢途径分析和功能预测分析。此外,还对这些差异代谢物和肠道微生物群进行了 Pearson 相关性分析。

结果:采用粪便代谢组学,发现 KYDS 与 21 种差异代谢物和 7 条潜在代谢途径有关。这些代谢物和代谢途径主要涉及氨基酸代谢、能量代谢、甲基胺代谢、胆酸代谢和尿素循环、短链脂肪酸代谢。通过 16S rRNA 基因测序分析,发现 KYDS 与 11 种不同的肠道微生物群有关。这些肠道微生物群主要涉及氨基酸代谢、能量代谢、神经、内分泌、免疫和消化系统、脂质代谢和碳水化合物代谢。结合粪便代谢组学和 16S rRNA 基因测序分析,我们进一步发现 KYDS 主要与三种肠道微生物群(即拟杆菌、脱硫弧菌和[Eubacterium]_coprostanoligenes_group)和 11 种相关代谢物(即脱氧胆酸、正丁酸、缬氨酸、异亮氨酸、乙酸、牛磺酸、甘氨酸、α-葡萄糖、β-葡萄糖、甘油和色氨酸)有关,这些代谢物介导了各种代谢紊乱(氨基酸代谢、能量代谢,特别是甲基胺代谢、胆酸代谢和尿素循环、短链脂肪酸代谢、神经、内分泌、免疫和消化系统、脂质代谢和碳水化合物代谢)。然而,YGP 能够调节四种微生物(即 Ruminiclostridium_9、Ruminococcaceae_UCG-007、Ruminococcaceae_UCG-010 和未培养的 bacteroidales_S24-7_group)和十种相关代谢物(即脱氧胆酸、缬氨酸、异亮氨酸、丙氨酸、瓜氨酸、乙酸、DMA、TMA、苯丙氨酸和色氨酸),介导氨基酸代谢,特别是甲基胺代谢、胆酸代谢和尿素循环、短链脂肪酸代谢、内分泌、免疫和消化系统、脂质代谢,从而对 KYDS 大鼠发挥治疗作用。

结论:总的来说,我们的研究结果初步证实,KYDS 与代谢和微生物群失调密切相关,而 YGP 可以通过作用于肠道微生物群来改善 KYDS 的代谢紊乱。同时,这将为进一步的 KYDS 宏基因组研究和将肠道微生物群作为治疗 KYDS 的药物靶点奠定基础。

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