The effect of Lactobacillus rhamnosus hsryfm 1301 on the intestinal microbiota of a hyperlipidemic rat model

Chen, Dawei; Yang, Zhenquan; Chen, Xia; Huang, Yujun; Yin, Boxing; Guo, Feixiang; Zhao, Haiqing; Zhao, Tangyan; Qu, Henxian; Huang, Jiadi; Wu, Yun; Gu, Ruixia

doi:10.1186/1472-6882-14-386

BMC Complementary Medicine and Therapies

Table 2 Difference in abundance of intestinal microbiota in rats

From: The effect of Lactobacillus rhamnosus hsryfm 1301 on the intestinal microbiota of a hyperlipidemic rat model

	Relative abundance (percent of total sequences)
	1 d				56 d
Taxon	Control	Model	hsryfm 1301	hsryfm 1301-f	Control	Model	hsryfm 1301	hsryfm 1301-f
Actinobacteria	0.10 ± 0.01	0.17 ± 0.02	0.20 ± 0.01	0.13 ± 0.01	0.27 ± 0.01	0.17 ± 0.02	0.13 ± 0.01	0.13 ± 0.01
Collinsella	0.00 ± 0.00	0.10 ± 0.01	0.10 ± 0.01	0.06 ± 0.01	0.17 ± 0.02*	0.09 ± 0.001	0.10 ± 0.01	0.10 ± 0.01**
Bacteroidetes	44.00 ± 2.50	46.80 ± 1.56	44.40 ± 2.12	39.10 ± 1.20	27.63 ± 1.53**	35.03 ± 1.20**	45.50 ± 2.62	40.33 ± 1.72
Bacteroides	1.47 ± 0.21	2.43 ± 0.12	2.33 ± 0.15	1.93 ± 0.20	1.10 ± 0.16	1.40 ± 0.11*	4.50 ± 0.26**	3.33 ± 0.28**
Barnesiella	0.10 ± 0.01	0.07 ± 0.01	0.08 ± 0.02	0.08 ± 0.01	0.17 ± 0.01	0.10 ± 0.01	0.00 ± 0.00*	0.00 ± 0.00*
Parabacteroides	0.30 ± 0.02	0.47 ± 0.03	0.40 ± 0.02	0.33 ± 0.01	0.20 ± 0.01	0.30 ± 0.02*	0.45 ± 0.01*	0.40 ± 0.01
Alistipes	0.30 ± 0.02	0.10 ± 0.01	0.10 ± 0.01	0.13 ± 0.01	0.10 ± 0.01*	0.17 ± 0.01*	0.05 ± 0.01*	0.13 ± 0.01
Prevotella	20.47 ± 1.02	22.77 ± 1.13	18.93 ± 1.08	17.67 ± 1.12	16.10 ± 2.03*	14.83 ± 1.16**	21.03 ± 1.15*	17.57 ± 1.09
Deferribacteres	0.10 ± 0.01	0.10 ± 0.02	0.10 ± 0.01	0.10 ± 0.01	0.20 ± 0.01*	0.10 ± 0.01	0.10 ± 0.02	0.17 ± 0.02*
Mucispirillum	0.10 ± 0.01	0.10 ± 0.02	0.10 ± 0.01	0.10 ± 0.01	0.13 ± 0.01	0.10 ± 0.01	0.10 ± 0.02	0.17 ± 0.02*
Firmicutes	31.80 ± 2.05	25.83 ± 1.53	28.20 ± 1.74	32.90 ± 1.85	41.80 ± 2.05*	37.03 ± 1.64*	23.23 ± 1.26*	27.57 ± 1.02*
Lactobacillus	0.10 ± 0.02	0.10 ± 0.01	0.10 ± 0.01	0.10 ± 0.02	0.12 ± 0.01	0.10 ± 0.02	0.17 ± 0.01*	0.27 ± 0.02*
Butyrivibrio	0.13 ± 0.01	0.15 ± 0.01	0.07 ± 0.01	0.10 ± 0.01	0.15 ± 0.01	0.10 ± 0.01	0.20 ± 0.02*	0.27 ± 0.02**
Dorea	0.13 ± 0.02	0.14 ± 0.01	0.17 ± 0.02	0.17 ± 0.02	0.09 ± 0.01	0.23 ± 0.01*	0.12 ± 0.01*	0.10 ± 0.01*
Enterococcus	0.10 ± 0.01	0.10 ± 0.01	0.10 ± 0.01	0.10 ± 0.01	0.15 ± 0.01*	0.37 ± 0.01**	0.05 ± 0.01*	0.06 ± 0.01*
Oscillibacter	1.63 ± 0.14	1.60 ± 0.11	2.07 ± 0.16	2.60 ± 0.21	2.33 ± 0.18*	3.37 ± 0.31**	1.43 ± 0.13*	1.83 ± 0.18*
Ruminococcus	0.30 ± 0.02	0.10 ± 0.01	0.20 ± 0.01	0.20 ± 0.01	0.57 ± 0.04**	0.37 ± 0.04**	0.16 ± 0.02*	0.17 ± 0.02*
Allobaculum	0.20 ± 0.01	0.27 ± 0.02	0.20 ± 0.01	0.20 ± 0.01	0.24 ± 0.02	0.10 ± 0.01*	0.47 ± 0.03**	0.27 ± 0.02
Acetanaerobacterium	0.00 ± 0.00	0.00 ± 0.00	0.07 ± 0.01	0.00 ± 0.00	0.10 ± 0.01*	0.00 ± 0.00	0.10 ± 0.01	0.03 ± 0.001*
Holdemania	0.00 ± 0.00	0.07 ± 0.01	0.00 ± 0.00	0.00 ± 0.00	0.00 ± 0.00	0.00 ± 0.00*	0.10 ± 0.01*	0.03 ± 0.01*
Proteobacteria	5.50 ± 1.05	8.03 ± 1.62	7.43 ± 1.16	10.00 ± 1.78	6.40 ± 0.76	6.80 ± 0.85	9.67 ± 1.13	12.30 ± 1.19
Campylobacter	0.13 ± 0.01	0.13 ± 0.02	0.10 ± 0.01	0.10 ± 0.01	0.11 ± 0.01	0.12 ± 0.01	0.00 ± 0.00*	0.00 ± 0.00*
Helicobacter	0.97 ± 0.12	1.17 ± 0.19	0.77 ± 0.05	2.40 ± 0.19	1.27 ± 0.22	1.20 ± 0.15	1.13 ± 0.21	1.27 ± 0.16*
Escherichia/Shigella	0.13 ± 0.01	0.10 ± 0.01	0.07 ± 0.01	0.13 ± 0.01	0.10 ± 0.002	0.07 ± 0.01	0.00 ± 0.00*	0.03 ± 0.001*
Spirochaetes	0.20 ± 0.02	0.43 ± 0.03	0.43 ± 0.02	0.33 ± 0.02	0.60 ± 0.03**	0.30 ± 0.02*	0.63 ± 0.04*	0.50 ± 0.02*
Treponema	0.20 ± 0.01	0.43 ± 0.03	0.43 ± 0.02	0.33 ± 0.02	0.40 ± 0.04**	0.30 ± 0.02*	0.60 ± 0.03*	0.50 ± 0.04*
Verrucomicrobia	4.30 ± 0.32	4.53 ± 0.36	4.50 ± 0.38	2.17 ± 0.23	2.63 ± 0.31*	2.00 ± 0.18**	5.73 ± 0.51*	3.73 ± 0.32*
Akkermansia	4.23 ± 0.30	4.50 ± 0.35	4.50 ± 0.38	2.13 ± 0.21	2.60 ± 0.29*	2.00 ± 0.18**	5.73 ± 0.51*	3.70 ± 0.25*
TM7	0.10 ± 0.01	0.00 ± 0.00	0.00 ± 0.00	0.10 ± 0.01	0.10 ± 0.01	0.10 ± 0.01*	0.00 ± 0.00	0.00 ± 0.00*
Other	13.90 ± 1.35	14.03 ± 1.42	14.77 ± 1.51	15.13 ± 1.47	20.40 ± 2.14*	18.47 ± 1.78	14.90 ± 1.65	16.20 ± 1.55

Each value is the mean ± standard deviation (n = 3). Data were analyzed using one-way ANOVA. Differences between treatment periods were assessed by the Duncan test. *means values in the same row of 56 d are significantly different from those of 1 d (P < 0.05); **, P < 0.01.

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