Green tea polyphenols boost gut-microbiota-dependent mitochondrial TCA and urea cycles in Sprague-Dawley rats.
Green tea polyphenols boost gut-microbiota-dependent mitochondrial TCA and urea cycles in Sprague-Dawley rats.
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绿茶多酚可促进 Sprague-Dawley 大鼠肠道微生物依赖的线粒体 TCA 和尿素循环。
DOI：
10.1016/j.jnutbio.2020.108395
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Wang,Jia-Sheng
中科院分区：
文献类型：
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作者：
Zhou,Jun;Tang,Lili;Shen,Chwan-Li;Wang,Jia-Sheng
绿茶多酚(GTP)被发现通过调节肠道微生物群落结构、基因同源和代谢途径来促进哺乳动物的能量转换。在这里，我们用亲水作用液相色谱(HILIC)-加热电喷雾电离(HESI)-串联液相色谱质谱(LC-MS)分析了肠道微生物依赖的线粒体三羧酸(TCA)循环和尿素循环中存在的代谢物。6组SD大鼠(6个月龄，~250g)分别灌胃含0%、0.5%和1.5%GTPS(wt/volor g/dL)的水。在3个月和6个月时收集肠道内容物样本。非靶向代谢组学检测到2177个特征，其中91个特征表明GTPS治疗具有显著的剂量和时间依赖性。靶向代谢组学分析显示，39种代谢产物在线粒体TCA循环和尿素循环中发生了显著变化，包括精氨酸琥珀酸(0.9倍与对照)、二氢尿嘧啶(1.14倍与对照)、富马酸(1.19倍与对照)、苹果酸(2.17倍与对照)、瓜氨酸(1.86倍与对照)和琥珀酸(0.4倍与对照)。使用生物信息学方法挖掘非靶向代谢组学数据，如方差分析-同时成分分析(ASCA)、浓缩途径分析和京都基因和基因组百科全书(KEGG)途径图谱分析。利用整合微生物基因组和微生物组数据库(IMG/M)和KEGG对16S rRNA调查、元基因组分析和代谢组学分析的结果进行外推和整合。我们的分析表明，GTPS通过促进大鼠肠道微生物区系的线粒体TCA循环和尿素循环来增强能量转换。这种代谢调节是通过丰富许多基因同源基因来实现的，在家族C中有益微生物的增加。、瘤胃球菌科(C.Lachnospiraceae)和反式瘤胃球菌科(B.拟杆菌科。
Green tea polyphenols (GTPs) were found to boost mammal energy conversion by modulating gut-microbial community structure, gene orthologs and metabolic pathways. Here we examined the metabolites present in the gut-microbiota-dependent mitochondrial tricarboxylic acid (TCA) cycle and urea cycle using hydrophilic interaction liquid chromatography (HILIC)-heated electrospray ionization (HESI)-tandem liquid chromatogram mass spectrometry (LC–MS). Six groups (n=12) of Sprague–Dawley rats (6-mo, ~250 g) were administered with water containing 0%, 0.5%, and 1.5% GTPs (wt/vol or g/dL). Gut-content samples were collected at 3- and 6-mo. Untargeted metabolomics detected 2177 features, with 91 features demonstrating significant dose- and time-dependencies on the GTPs treatment. Targeted metabolomics analysis revealed remarkable changes of 39 metabolites in the mitochondrial TCA cycle and urea cycle, including argininosuccunic acid (0.9-foldvscontrol), dihydrouracil (1.14-foldvscontrol), fumaric acid (1.19-foldvscontrol), malic acid (2.17-foldvscontrol), citrulline (1.86-foldvscontrol), and succinic acid (0.4-foldvscontrol). The untargeted metabolomics data were mined using bioinformatics approaches, such as analysis of variance-simultaneous component analysis (ASCA), enrichment pathway analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway mapping analysis. The results of 16S rRNA survey, metagenomics analysis, and metabolomics analysis were extrapolated and integrated using databases of Integrated Microbial Genomes and Microbiomes (IMG/M) and KEGG. Our analysis demonstrates that GTPs enhance energy conversion by boosting mitochondrial TCA cycle and urea cycle of gut-microbiota in rats. This metabolic modulation is achieved by enriching many gene orthologs, following the increase of beneficial microbials in familiesC. Ruminococcaceae,C. LachnospiraceaeandB. Bacteroidaceae.