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• W2968199413 abstract "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.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 1H 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.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.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." @default.
• W2968199413 created "2019-08-22" @default.
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• W2968199413 date "2019-11-01" @default.
• W2968199413 modified "2023-10-16" @default.
• W2968199413 title "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" @default.
• W2968199413 cites W1606088617 @default.
• W2968199413 cites W1883624133 @default.
• W2968199413 cites W1967821667 @default.
• W2968199413 cites W1992331135 @default.
• W2968199413 cites W2002128729 @default.
• W2968199413 cites W2003955379 @default.
• W2968199413 cites W2012490955 @default.
• W2968199413 cites W2024601462 @default.
• W2968199413 cites W2024694894 @default.
• W2968199413 cites W2026013333 @default.
• W2968199413 cites W2027429609 @default.
• W2968199413 cites W2028144765 @default.
• W2968199413 cites W2036571139 @default.
• W2968199413 cites W2042045767 @default.
• W2968199413 cites W2046710217 @default.
• W2968199413 cites W2047972199 @default.
• W2968199413 cites W2054664533 @default.
• W2968199413 cites W2055650775 @default.
• W2968199413 cites W2058029859 @default.
• W2968199413 cites W2069677114 @default.
• W2968199413 cites W2072970694 @default.
• W2968199413 cites W2073332363 @default.
• W2968199413 cites W2079799346 @default.
• W2968199413 cites W2082808164 @default.
• W2968199413 cites W2085888316 @default.
• W2968199413 cites W2086865963 @default.
• W2968199413 cites W2089785364 @default.
• W2968199413 cites W2092087950 @default.
• W2968199413 cites W2119228534 @default.
• W2968199413 cites W2122169508 @default.
• W2968199413 cites W2124006710 @default.
• W2968199413 cites W2124351063 @default.
• W2968199413 cites W2129784941 @default.
• W2968199413 cites W2134726587 @default.
• W2968199413 cites W2142336938 @default.
• W2968199413 cites W2147726663 @default.
• W2968199413 cites W2149573313 @default.
• W2968199413 cites W2152885278 @default.
• W2968199413 cites W2153109441 @default.
• W2968199413 cites W2162748874 @default.
• W2968199413 cites W2167062509 @default.
• W2968199413 cites W2172521887 @default.
• W2968199413 cites W2221603408 @default.
• W2968199413 cites W2335880161 @default.
• W2968199413 cites W2416670801 @default.
• W2968199413 cites W2473313158 @default.
• W2968199413 cites W2559627366 @default.
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• W2968199413 cites W2616287327 @default.
• W2968199413 cites W2618341198 @default.
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• W2968199413 cites W2886769655 @default.
• W2968199413 cites W2949820012 @default.
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• W2968199413 doi "https://doi.org/10.1016/j.jep.2019.112139" @default.
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