Liquid Chromatography/Mass Spectrometry Reveals the Effect of Lactobacillus Treatment on the Faecal Metabolite Profile of Rats with Chronic Renal Failure
Liquid Chromatography/Mass Spectrometry Reveals the Effect of Lactobacillus Treatment on the Faecal Metabolite Profile of Rats with Chronic Renal Failure
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液相色谱/质谱法揭示乳酸菌治疗对慢性肾衰竭大鼠粪便代谢物的影响
DOI:
10.1159/000452453
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发表时间:
2016-11
期刊:
影响因子:
2.5
通讯作者:
Zhang Liwen
中科院分区:
文献类型:
--
作者:
Wu Bin;Jiang Hongli;He Quan;Wang Meng;Xue Jinhong;Liu Hua;Shi Kehui;Wei Meng;Liang Shanshan;Zhang Liwen
Background/Aim: Chronic kidney disease is accompanied by changes in the gut microbiome and by an increase in the number of gut pathogenic bacteria. The aim of this study was to investigate the difference of the faecal metabolic profiles in rats with uremia, and to determine whether the altered metabolites in the rats with uremia can be restored by Lactobacillus. Methods: Thirty rats were randomly divided into 3 groups: sham, uremia and uremia + probiotic (UP) groups. The rats in uremia and UP groups were prepared through surgical renal mass 5/6 ablation. The rats in the UP group received Lactobacillus LB (1 ml, 109 CFU/ml) through gavage every day for 4 weeks. The rats were fed with a standard diet. Faecal samples were analysed through ultra performance liquid chromatography/mass spectrometry. Statistical analyses were performed using MetaboAnalyst and MATLAB. Results: A total of 99, 324 and 177 significantly different ion peaks were selected between sham and uremia groups; sham and UP groups; and uremia and UP groups, respectively. In the 3 groups, 35 significantly altered metabolites were identified; of the 35 metabolites, 27 initially increased and then decreased; by contrast, 8 metabolites initially decreased and then increased. The 35 metabolites were subjected to pathway analysis in MetaboAnalyst. Conclusions: Faecal metabolites were significantly altered in rats with uremia; these changes were partially reversed by Lactobacillus.
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影响因子:
14.9
作者:
Wishart DS;Knox C;Guo AC;Eisner R;Young N;Gautam B;Hau DD;Psychogios N;Dong E;Bouatra S;Mandal R;Sinelnikov I;Xia J;Jia L;Cruz JA;Lim E;Sobsey CA;Shrivastava S;Huang P;Liu P;Fang L;Peng J;Fradette R;Cheng D;Tzur D;Clements M;Lewis A;De Souza A;Zuniga A;Dawe M;Xiong Y;Clive D;Greiner R;Nazyrova A;Shaykhutdinov R;Li L;Vogel HJ;Forsythe I
通讯作者:
Forsythe I
影响因子:
5.1
作者:
Miao, Hua;Chen, Hua;Zhao, Ying-Yong
通讯作者:
Zhao, Ying-Yong
DOI:
--
发表时间:
2006
期刊:
--
影响因子:
--
作者:
R. A. V. D. Berg;H. Hoefsloot;J. Westerhuis;A. Smilde;M. Werf
通讯作者:
R. A. V. D. Berg;H. Hoefsloot;J. Westerhuis;A. Smilde;M. Werf
影响因子:
--
作者:
Ying-yong Zhao;Rui-Chao Lint
通讯作者:
Ying-yong Zhao;Rui-Chao Lint
影响因子:
7.4
作者:
Wiklund, Susanne;Johansson, Erik;Trygg, Johan
通讯作者:
Trygg, Johan