基于16S rRNA基因测序和hplc - ms代谢谱的电针治疗肥胖小鼠肠道微生物群和代谢组综合分析

Yuan-Cheng Si, Chenchen Ren, Er-Wei Zhang, Zhao-xia Kang, Xiaowei Mo, Qing-qing Li, Bo Chen
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引用次数: 5

摘要

几千年来,针灸在中国一直被用来治疗肥胖等多种疾病。基于代谢组学研究了针灸治疗肥胖的几种机制,但针灸对肠道菌群改变的影响尚不清楚。本研究采用基于16S rRNA基因测序结合高效液相色谱-质谱(HPLC-MS)代谢谱的综合方法,通过调节肠道微生物群的相对丰度及其与生物标志物候选物的关系,研究针灸对高脂肪饮食诱导的肥胖的影响。共鉴定出10个显著改变的细菌属和11个代谢物,经电针治疗后恢复到正常水平。三组间Muribaculaceae、Lachnospiraceae、Desulfovibrionaceae、Helicobacteraceae、Prevotellaceae、Ruminococcaceae、Rikenellaceae、Deferribacteraceae、Bacteroidaceae和tannerellaceae细菌科的相对丰度发生了显著变化。潜在的生物标记物,包括LysoPC(0:0/16:0)([公式:看到文本]1),PC(0:0/18:0)((公式:看到文本)2),胆酸((公式:看到文本)3),LysoPC(16:0)((公式:看到文本)4),3(公式:看到文本),6(公式:看到文本),7(公式:看到文本)-Trihydroxy-5[公式:看到文本]-cholanoic酸([公式:看到文本]5),5 beta-cyprinolsulfate([公式:看到文本]6),PC(18:0/0:0)([公式:看到文本]7),1-Nitro-5-hydroxy-6-glutathionyl-5, 6-dihydronaphthalene([公式:看到文本]8),Glycocholic酸([公式:9),[公式:见文本]-精氨酸([公式:见文本]10)和古醛酸([公式:见文本]11),参与几个代谢途径,如甘油磷脂代谢和初级胆汁酸生物合成。有趣的是,嗜杆菌和双歧杆菌肠道菌群的紊乱与肠道代谢物3[公式:见文]、6[公式:见文]、7[公式:见文]-三羟基-5[公式:见文]-胆酸和胆酸与[公式:见文]-精氨酸的改变有很强的相关性。这一发现表明,电针的作用可能通过调节3[公式:见文],6[公式:见文],7[公式:见文]-三羟基-5[公式:见文]-胆酸和胆酸和[公式:见文]-精氨酸的功能代谢物成分而改变嗜双歧杆菌和双歧杆菌的比例。这些结果表明,电针的作用主要集中在自定义代谢途径上,并依赖于肥胖患者肠道微生物群的变化。这些发现表明,16S rRNA基因测序和基于hplc - ms的代谢组学方法可用于综合评估中药的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrative Analysis of the Gut Microbiota and Metabolome in Obese Mice with Electroacupuncture by 16S rRNA Gene Sequencing and HPLC-MS-based Metabolic Profiling.
Acupuncture has been used to treat numerous diseases such as obesity in China for thousands of years. Several mechanisms of acupuncture on obesity have been surveyed based on metabolomics, but the effects of acupuncture on the alterations in the gut flora are still unclear. In this study, an integrated approach based on 16S rRNA gene sequencing combined with high-performance liquid chromatography-mass spectrometry (HPLC-MS) metabolic profiling was conducted to investigate the effects of acupuncture on high-fat-diet-induced obesity through the regulation of the relative abundances of gut microbiota and their relationships with biomarker candidates. A total of 10 significantly altered bacterial genera and 11 metabolites were recognized, which recovered to normal levels after electroacupuncture treatment. The relative abundances of the bacterial families Muribaculaceae,Lachnospiraceae,Desulfovibrionaceae,Helicobacteraceae, Prevotellaceae,Ruminococcaceae,Rikenellaceae,Deferribacteraceae,Bacteroidaceae andTannerellaceaewere remarkedly changed among the three groups. Potential biomarkers, including LysoPC(0:0/16:0) ([Formula: see text]1),PC(0:0/18:0) ([Formula: see text]2),Cholic acid([Formula: see text]3),LysoPC(16:0) ([Formula: see text]4), 3[Formula: see text],6[Formula: see text],7[Formula: see text]-Trihydroxy-5[Formula: see text]-cholanoic acid([Formula: see text]5), 5beta-Cyprinolsulfate([Formula: see text]6),PC(18:0/0:0) ([Formula: see text]7), 1-Nitro-5-hydroxy-6-glutathionyl-5,6-dihydronaphthalene([Formula: see text]8),Glycocholic acid([Formula: see text]9),[Formula: see text]-Arginine([Formula: see text]10) andGulonic acid([Formula: see text]11), were involved in several metabolic pathways, such as the glycerophospholipid metabolism and primary bile acid biosynthesis. Interestingly, there was a strong correlation between the perturbed gut flora in Bilophila and Bifidobacterium and the altered intestinal metabolite of 3[Formula: see text],6[Formula: see text],7[Formula: see text]-Trihydroxy-5[Formula: see text]-cholanoic acid and Cholanoic acid and [Formula: see text]-Arginine. This finding suggested that the effects of electroacupuncture might change the proportions of Bilophila and Bifidobacterium by regulating the constituents of the functional metabolite of 3[Formula: see text],6[Formula: see text],7[Formula: see text]-Trihydroxy-5[Formula: see text]-cholanoic acid and Cholanoic acid and [Formula: see text]-Arginine. These results indicated that the effects of electroacupuncture focused on custom metabolic pathways as well as depend on the changes in the gut microbiota in obesity. These findings suggest that the 16S rRNA gene sequencing and HPLC-MS-based metabolomics approach can be applied to comprehensively assess the effects of traditional Chinese medicines.
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